Aston Villa boss makes three-word vow to fans ahead of Newcastle United clash
Aston Villa v Newcastle United | Once the international break is over and the Premier League returns Steve Bruce's side will be the next test for the Villa Park side
by Richard CusackDean Smith says his players won't be putting their feet up over the next fortnight.
The Aston Villa manager will have two weeks to mull over his side's most recent loss - Sunday's 2-1 reverse at Wolverhampton Wanderers .
That was Villa's third defeat in a row, after losses to Liverpool and Manchester City.
Some of his players are away, Tyrone Mings (England), John McGinn (Scotland), Trezeguet (Egypt) and Douglas Luiz and Wesley (Brazil) the pick of thise representing their respective countries during the two-week break from League football.
Aston Villa latest
This is your round up of all things Villa; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Villains throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Villa fans send stark warning to Smith
- The January transfer priorities for Purslow and Smith
- Jota hands Villa major injury boost
- Morelos speaks out as Rangers rumours swirl
For all your latest AVFC news, opinion, analysis and transfer gossip, click here
You can follow our Villa reporter Ashley Preece on Twitter, and his email address is<EMAIL_ADDRESS>Villa went into the last international break on a high, beating Norwich City 5-1 to record their first win of the season away from home.
They returned from the two-week break and beat Brighton and Hove Albion at Villa Park to lift themselves to mid-table - but that was their last win.
Smith's side host Newcastle United before a trip to Manchester United when the season resumes two week's yesterday.
And the Villa boss has vowed he won't let his side rest this weekend as he searches for that winning formula once again.
"I think a look at the squad to see how many are called-up internationally is probably a good marker to see how we are doing," he told the club's YouTube channel .
"Tyrone got his first start for England, John scores a hat-trick, Trezeguet goes away and Douglas has been called up to the senior squad for Brazil.
"We've got an awful lot of players who are away and it's really important that the players who are here keep improving and we keep making sure they get their little breaks they require to, physically and mentally, have a little bit of a relaxation.
"We won't rest on our laurels and we will keep working hard here to make sure that when we come back for Newcastle United we are in tip-top shape."
Smith will be hoping to get some of his injured players back to full fitness ahead of the visit of Newcastle.
And while he will bid plenty of Villans farewell for two weeks, there will be hard work for the rest of them left behind.
"We could have 12, 13 or 14 players away and they work hard when they are away because they are playing for their countries ans we wish them all well," he added.
"So it's important that the players who are with us don't just see that as a break.
"I think it's called an international break but for us it's an international period."


#include <GeneratorDataMonitor.h>
Monitors the GeneratorData in order to adjust parameters or take other actions.
| void GeneratorDataMonitor::addDLimValue |
( |
double |
value, |
|
|
int |
nVessel |
|
) |
| |
Adds a new ocurrence of dLim.
- Parameters
-
| value | New ocurrence of dLim. |
| nVessels | Amount of terminals in the domain. |
| void GeneratorDataMonitor::reset |
( |
| ) |
|
Resets the recorded history of the parameters.
| void GeneratorDataMonitor::setDLimObservations |
( |
int |
nObs | ) |
|
Sets the amount of observations of dLim values that are stored in dLimOcurrencies
.
- Parameters
-
| nObs | Amount of observations of dLim values that are stored in dLimOcurrencies . |
| void GeneratorDataMonitor::update |
( |
| ) |
|
Perform adjustments over GeneratorData based on the recorded history of the parameters.
| int GeneratorDataMonitor::dLimObservations |
|
private |
Amount of observations stored for the dLim value.
| deque<double> GeneratorDataMonitor::dLimOcurrencies |
|
private |
Deque of the last observations
ocurrences of Dlim values.
The documentation for this class was generated from the following files:
- core/GeneratorDataMonitor.h
- core/GeneratorDataMonitor.cpp


Emotion computation can be applied to a number of fields such as education, gaming and monitoring. The problem is that most of these algorithms are built on single camera. I improved the accuracy and robustness by adopting multiple cameras.
This research was conducted at North Carolina State Univeristy, USA with Boxuan Zhong and Zikun Qin, insturcted by Edgar Lobaton.
Jul 2017
Data analysis
Web coding
Machine learning model training
I used Javascript SDK of Affectiva to recognize the emotion from video feeds, stored these data in webSQL, and used python to analyse. Then I trained a SVM model using sklearn.
Then we published a paper named Emotion recognition with facial expressions and physiological signals on IEEE SSCI 2017. The original paper is HERE.


WITNESS LIST Electric Utility Restructuring (Interim) Committee February 4, 1998-9:00A Customer Protection Issues For: Mintz, David (TCCE), Austin Reilley, Bob (Enron Corp.), Houston On: Alexander, Barbara (Consumer Affairs), Winthrop, Maine Baker, Tom (AECT), Dallas Briesemeister, Janee (Consumers Union), Austin McClellan, Suzi (OPUC), Austin Electric Utility Restructuring For: Barrett, W.F. (Five Oaks Ranch (self)), Valley Mills Bowman, C.G. (Buddy) (self), Marshall Curtis, Tim (self), Dale Cypert, Todd (self), Meadow Duty, Mary (Children's Advocacy), Waco Hicks, Johnette (EOAC), Waco Vardiman, Boyce (self), West Against: Vega, Ju (SASS), Houston On: Aaron, Michael (self), Austin Allen, Bruce (self), Waco Altman, Peter (The SEED Coalition), Austin Anderson, Dwayne (Clean Water Action), Austin Ascot, Karin E.S. (self), Austin Benavidez, Tommy (self), Austin Biedrzycki, Carol (Texas Rose), Austin Chapman, Randall (self), Austin Duty, Roland B. (self), Waco Farmer, Dr. Bob (self), Gatesville Fitzpatrick, James (AARP & self), Austin Harwood, Barbara (self), Carrollton Hickerson, Brooks (self), Austin King, Robert J. (Energy Service Company), Austin Lockhoof, Nancy (self), Austin Manning, Bob (HEB Grocery Co.), San Antonio Medaille, Bill (self), Austin Phillips, Kim (Texas PTA & self), Austin Pitman, Susan (American Lung Assn.), Austin Purpora, Ron (American Lung Assn.), Austin Rose, Alan (JC Penny & TX Retailers), Dallas Sloan, Mike (self), Austin Strand, Chris (self), Austin Swenson, Karen M. (Low Income Households), Nacogdoches Vacek, Jerome (Consumers), Corsicana Wienbroer, Kirtley (UT Earth Awareness Grp.), Austin Wood, Marjorie N. (self), Abilene Registering, but not testifying: For: Joyce, Kevern (TNP Enterprises), Ft. Worth McLaughlin, Leonard (Lost Creek MUD), Austin Tilney, Bill (self), Austin Tune, Tara (Public Citizen), Austin On: Arredondo, Frank (TACAA), San Marcos Hansen, Dr. Yvonne M. (self), Austin Heikkala, Karen (self), Austin Martinez, Adan (TX General Land Office), Austin Porter, J.D. (self), Austin Romberg, Tom (AC Contractors Assn.), Austin Valdivia, Enrique (self), San Antonio Walker, Jim (self), Austin Walker, Richard P. (AECT, Central & SW Corp), Tulsa, OK Williams, Herb (TNRCC), Austin Wright, Robert L. (TECC & Union Carbide), Victoria Environmental & Renewable Energy For: Smith, Tom "Smitty" (Public Citizen), Austin On: Eminger, Randy (CEED), Amarillo Feith, Ed (AECT), Houston Hoffner, John (TREIA), Austin Pulaski, Jane (SECO), Austin Rabago, Karl (EDF), Austin Saitas, Jeff (TNRCC), Austin


Page 1 of 1
Frozen
Posted:
Sun Oct 11, 2009 10:26 pm
by ven
When I log on I'm frozen on square (all of my characters) and no guards show up and exp bar is all the way full. I was hunting for items and have tons of items in my inventory and then I went back to town and froze.
Re: Frozen
Posted:
Sun Oct 11, 2009 10:28 pm
by ven
hmm I'm unfrozen now.. weird..
Re: Frozen
Posted:
Mon Oct 12, 2009 7:48 am
by Karl G.
Hey ven,
Sorry about this bug. I will try filling up an inventory and teleporting around to find it, but I suspect this is an incidental problem related to the freeze bugs the others have been finding. Thanks for bringing it to my attention!
Karl


|
SSD1306 OLED display driver
1.7.6
This library is developed to control SSD1306/SSD1331/SSD1351/IL9163/PCD8554 RGB i2c/spi LED displays
|
Macros | |
| #define | SSD1306_MORE_CHARS_REQUIRED 0xffff |
Functions | |
| void | ssd1306_setCursor (lcdint_t x, lcdint_t y) |
| Sets cursor position for text mode print functions. More... | |
| void | ssd1306_setFixedFont (const uint8_t *progmemFont) |
| void | ssd1306_setSecondaryFont (const uint8_t *progmemUnicode) |
| void | ssd1306_setFont6x8 (const uint8_t *progmemFont) __attribute__((deprecated)) |
| void | ssd1306_getCharBitmap (char ch, SCharInfo *info) |
| returns char data for currently set (active) font. More... | |
| void | ssd1306_enableUtf8Mode () |
| void | ssd1306_enableAsciiMode () |
Variables | |
| const PROGMEM uint8_t | ssd1306xled_font6x8 [] |
| const PROGMEM uint8_t | ssd1306xled_font6x8_German [] |
| const PROGMEM uint8_t | ssd1306xled_font6x8_AB [] |
| const PROGMEM uint8_t | ssd1306xled_font5x7 [] |
| const PROGMEM uint8_t | ssd1306xled_font5x7_AB [] |
| const PROGMEM uint8_t | digital_font5x7_123 [] |
| const PROGMEM uint8_t | digital_font5x7_AB [] |
| const PROGMEM uint8_t | digital_font5x7 [] |
| const PROGMEM uint8_t | courier_new_font11x16_digits [] |
| const PROGMEM uint8_t | comic_sans_font24x32_123 [] |
| #define SSD1306_MORE_CHARS_REQUIRED 0xffff |
Flag means that more chars are required to decode utf-8
Definition at line 44 of file ssd1306_fonts.h.
| void ssd1306_enableAsciiMode | ( | ) |
Enables ascii mode for all text-functions. No any decoding will be performed
Definition at line 188 of file ssd1306_generic.c.
| void ssd1306_enableUtf8Mode | ( | ) |
Enables utf8 support for all text-functions.
Definition at line 181 of file ssd1306_generic.c.
| void ssd1306_getCharBitmap | ( | char | ch, |
| SCharInfo * | info | ||
| ) |
returns char data for currently set (active) font.
Function returns char data for currently set font: pointer to progmem data for specified char, and width, height of the char. You can use these data to draw char manually using ssd1306_drawBitmap(), ssd1306_drawMonoBitmap8() or NanoCanvasOps::drawBitmap1().
| ch | char to read from set font |
| info | pointer to SCharInfo structure to fill with char data |
Definition at line 85 of file ssd1306_generic.c.
Sets cursor position for text mode print functions.
Sets cursor position for text mode print functions.
| x | xpos in pixels |
| y | ypos in pixels |
Definition at line 56 of file ssd1306_generic.c.
| void ssd1306_setFixedFont | ( | const uint8_t * | progmemFont | ) |
Function allows to set another fixed font for the library. By default, the font supports only first 128 - 32 ascii chars. First 32 chars of ascii table are non-printable, and removed from the font table to reduce flash memory consumption. Default font doesn't support russian characters. Using this function you can implement your own fonts. First font char must be started with <space> image. Font data should be in the following format: | 0x00 | 0xWW | 0xHH | 0xAA | FONT DATA |, where 0xWW - width in pixels, 0xHH - height in pixels, 0xAA - ascii offset (0x20).
For fixed font 6x8 each char is presented by 6 bytes:
COL0, COL1, COL2, COL3, COL4, COL5.
For fixed font 4x16 each char is presented by 4x16/8 = 8 bytes:
ROW0: COL0, COL1, COL2, COL3,
ROW1: COL0, COL1, COL2, COL3
| progmemFont | - font to setup located in Flash area |
Definition at line 62 of file ssd1306_generic.c.
| void ssd1306_setFont6x8 | ( | const uint8_t * | progmemFont | ) |
Function allows to set another font for the library. By default, the font supports only first 128 - 32 ascii chars. First 32 chars of ascii table are non-printable, and removed from the font table to reduce flash memory consumption. Default font doesn't support russian characters. Using this function you can implement your own fonts. First font char must be started with <space> image.
| progmemFont | - font to setup located in Flash area |
Definition at line 891 of file ssd1306_1bit.c.
| void ssd1306_setSecondaryFont | ( | const uint8_t * | progmemUnicode | ) |
Function allows sets secondary font for specific language. Use it if you want to use additional font to combine capabilities of ascii fonts and language specific font.
| progmemUnicode | font containing unicode table (refer to ssd1306xled_font6x8_German as example). |
Definition at line 76 of file ssd1306_generic.c.
| const uint8_t comic_sans_font24x32_123 |
Comic Sans ASCII font 24x32 with digits only (Ascii codes 32 - 64).
Definition at line 634 of file ssd1306_fonts.c.
| const PROGMEM uint8_t courier_new_font11x16_digits[] |
Standard ASCII font 11x16 with digits only (Ascii codes 32 - 64).
Definition at line 595 of file ssd1306_fonts.c.
| const uint8_t digital_font5x7 |
Digital ASCII 5x7 font
Definition at line 249 of file ssd1306_fonts.c.
| const PROGMEM uint8_t digital_font5x7_123[] |
Digital ASCII 5x7 font with only digits and operation signs
| const uint8_t digital_font5x7_AB |
Digital ASCII 5x7 font with only capital letters
Definition at line 350 of file ssd1306_fonts.c.
| const PROGMEM uint8_t ssd1306xled_font5x7[] |
Standard ASCII 5x7 font
Definition at line 420 of file ssd1306_fonts.c.
| const PROGMEM uint8_t ssd1306xled_font5x7_AB[] |
Standard ASCII 5x7 font with only capital letters
Definition at line 522 of file ssd1306_fonts.c.
| const PROGMEM uint8_t ssd1306xled_font6x8[] |
Standard ASCII 6x8 font
Definition at line 41 of file ssd1306_fonts.c.
| const PROGMEM uint8_t ssd1306xled_font6x8_AB[] |
Standard ASCII 6x8 AB font with only capital letters
Definition at line 163 of file ssd1306_fonts.c.
| const PROGMEM uint8_t ssd1306xled_font6x8_German[] |
German chars for standard ASCII 6x8 font
Definition at line 144 of file ssd1306_fonts.c.


WANDERLUST
SEARCH
BOOKING
INFORMATION
ITINERARY
"Find your dream destinaion! Now easier and faster then ever "
DREAM DESTINATION
FIND


Friend Finder
Survey questions
About You
Name (Required)
Link to Photo Image (Required)
Question 1
I freakin' love long walks on the beach.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 2
One of my favorite words... legen wait for it .. dary Legendary!.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 3
I love that my friend was famous in High School.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 4
I always think about the environment.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 5
Believe it or not I was not always as awsome as I am today.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 6
I can do a handstand.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 7
If you're not scared, you are not taking a chance.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 8
Every Relationship has a reacher and a settler.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 9
I was the perfect combination of slutty and classy.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Question 10
Oh Honney Sweet Baby.
1 (Strongly Disagree)
2
3
4
5 (Strongly Agree)
Submit
Best Match
×


Welcome to the FOFA Content Portal!
Our association is all about sharing knowledge, logistics and resources to promote organic farming - to both farmers and the public. As a valued member of our organization, you can access carefully researched and approved content for reuse via this Content Portal.
If you would like to contribute your ideas, please contact us.


COMPUTER SIMULATIONS OF TURBULENT DISPERSION
by
James J. Riley
A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy.
Baltimore, Maryland
June, 1971
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.


jQuery Playground
#left-well
#target1
#target2
#target3
#right-well
#target4
#target5
#target6
Panic Button!
Panic has gone...


img
element with
usemap
attribute pointing to
map
element with one
area
element
Pass Criteria
#1: Element is supported
#2: Correct HTML and Core Accessibility API mappings
#3: Correct Accessible Name & Description Calculation
Reference
HTML
map
element
HTML Accessibility API Mappings for
map
element
HTML
area
element
HTML Accessibility API Mappings for
area
element
HTML Accessibility API Mappings for
area
element without
href
Core Accessibility API Mappings for
link
role
Test img-001:
img
element with
alt
attribute
Test img-002:
img
element with empty
alt
attribute


{% extends 'base/base.html' %} {% load static %} {% block content %}
Repeatedly going through deeply distressing experiences - such as domestic violence, racism, childhood and/or sexual abuse will leave deep wounds. These injuries show up in the form of negative relationships, emotional breakdowns, aimlessness, intense fear, and even self-loathing. My work aims to support survivors and reverse these effects.
Clients often walk away from completing therapy with me empowered to design their lives. They shed the shame associated with their trauma by connecting with their intrinsic self-worth. They break the habit of hypervigilant, reactive, and avoidant behaviors that often accompanies trauma. All the while developing a tolerance for joy without sabotage, and existing in the world with a deeper understanding of their values.
My courageous clients develop a healthy way of communicating and relating to those closest to them; while reconnecting with their passion, curiosity, and "play".  We will also explore your different identities (e.g. as gender, race, class) and uncover, challenge, and revise the beliefs that you had to align with in order to safely navigate these structures.
For example, if you have learned that in order to be safe you must give away your power, or, that having extreme control over yourself and others means you can avoid pain, then you understand the power of our environments to shape who we are.
This social justice perspective to counseling not only creates healing but also decreases the likelihood of participation in future abusive environments.
During this era of Trump and the increased visibility of injustice many black people and people of color are finding it more important than ever to be solid in their racial identity.  I create a safe space to facilitate this in therapy.
My work also serves biracial individuals who have parents that are different races (e.g. white identified parent and black identified parent, or asian parent and white parent) and find it hard to navigate the complexities of their racial identity. They have often found it difficult to have conversations about racism with family, felt unsupported in answering tough questions about racism, and felt not quite “enough” of any race to “fit in”. This can be confusing and lonely place to be but you're not alone in the struggle. This can be a confusing and lonely place to be but you're not alone in the struggle. I offer support in the form of a nurturing, supportive environment where we tackle these issues collaboratively and without judgement. So you can develop a strong stable identity.
My expertise lies in assisting clients in the healing from the effects of the following:
Domestic Violence
Childhood Abuse
Sexual Assault
PTSD and Anxiety
Racial Trauma
Complexities of being Bi-racial
Collective Trauma (racism, sexism, classism, etc)
Each 50 Minute Individual Session is: $150
I do offer a limited number of clients a sliding-scale rate based on income
If your insurance plan reimburses for out-of-network behavioral health or mental health services, our sessions may be partially covered. For out-of-network coverage, clients pay for sessions in full, I then provide them with a monthly invoice that clients submit for reimbursement. If you seek to use this method then please ask your insurance providers if they reimburse for out-of-network behavioral health or mental health services.
I'm proud to be apart of a collective of counselors that have similar values and mission. Mosaic Counseling Collective is a team of psychotherapists who are social justice-oriented and offer a wide range of treatment approaches. Check us out here: mosaiccounselingcollective.com/kyeisha-hodge-lmhc


Multiple charts can share the same ChartState object. When they do, any changes to state on one chart is indicated in the other chart too. Try hovering on a bar in one of the charts above!
ChartState supports hovering and highlighting a value and selecting and previewing a series (actually a column)
Try hovering on blue text in above paragraph. ChartState can be updated from scripts outside the chart too!


Hey there. It’s a brand new installation and already you have a comment!
When you are logged in as an Admin, a Remove Comment link shows up next to the comment making it very easy to delete the comment right from the blog post.
You can also moderate comments centrally from the Feedback tool in the admin section.


The diabetes plate method uses the image of a standard, 9-inch dinner divided as follows:


---
title: Navigation
permalink: /en/navigation/
language: en
layout: page
---
Layout of the SDG online platform
The online platform comprises two components, namely the German set of indicators for the global sustainable development goals
(Sustainable Development Goals, SDGs)
of the United Nations 2030 Agenda and the indicator set of the
German Sustainable Development Strategy (Deutsche Nachhaltigkeitsstrategie, DNS).
Since the German Sustainable Development Strategy is aimed at implementing the 2030 Agenda at the national level, indicators shared by both strategies are
linked to each other on the platform.
A direct link to the homepage of the DNS online platform can be found at the top right of this page next to the search field:
Structure of the SDG online platform
The SDG online platform comprises goals, targets and related indicators (Fig. 1).
Fig. 1: Example of the structure of SDGs based on goal 11 “Sustainable Cities and Communities“ (as of July 2020)
Presentation of SDG indicators
Each SDG indicator is displayed on a separate page. Depending on the indicator, different selection menus are shown on the left.
The first selection menu contains all time series available for the indicator.
In the sub-menus you can select various variable values depending on the data series - e.g. different age groups.
The development of the time series is visualised in a chart.
Click on the second tab next to “Chart“ to view, in a table, the data underlying the chart and all other data available from the
selection menus (Fig. 2).
Fig. 2: Example of the presentation of SDG indicators using indicator 11.7.1 (as of April 2020)
Below, there are green buttons that allow the data to be downloaded in CSV format and, in the case of the chart, also as a PNG file.
Metadata and data sources
At the bottom of the indicator pages you can see the following three tabs: “National Metadata“, “Global Metadata“ and “Data Sources“.
The “National Metadata“ tab provides a list of the national time series which correspond most closely to the global metadata.
The national metadata sheet includes a comparison with the global requirements and related methodological and country-specific information.
Each SDG indicator is managed by one or more custodian agencies. The custodian agencies, in consultation with the IAEG-SDGs, a statistical working group of
the United Nations, determine the exact definition of and methodology for the respective indicator and publish these as global metadata.
These can be found in the “Global metadata“ tab (Fig. 3). In addition to the indicator‘s detailed target, the
Tier classification of the indicator is listed here as well.
The “Data sources“ tab provides links to the organisation(s) that submitted the data for the time series and, where possible, also direct links to the relevant data sources.
Comparison of SDG and DNS indicators
There are numerous overlaps between the indicators of the UN Sustainable Development Goals and the indicators of the German Sustainable Development Strategy (DNS).
About half of the DNS- indicators are similar to or congruent with the SDG- indicators. Both sets of indicators are also structured according to the 17 goals of
the United Nations 2030 Agenda, as the DNS represents the national implementation ofGerman Sustainable Development Strategy is aimed at implementing the global
agenda. at the national level. More information on the DNSGerman strategy can be found in the “Useful information“ section „Interesting Facts“ andunder
DNS.
However, there are also differences. The names of the DNS indicators and especially their numbering are not identical to those of the SDG indicators.
If an SDG indicator is comparable to a DNS indicator, this is indicated by a button with a direct link to the respective indicator (Fig. 3).
Fig. 3: Position of the direct link to similar or congruent indicators of the UN Sustainable Development Goals and the German Sustainable Development Strategy (as of July 2020)


This purpose of this document is to distill down the Hadoop Compatibility Guidelines into the information relevant for a system administrator.
The Hadoop development community periodically produces new Hadoop releases to introduce new functionality and fix existing issues. Realeses fall into three categories:
The set of native components on which Hadoop depends is considered part of the Hadoop ABI. The Hadoop development community endeavors to maintain ABI compatibility to the fullest extent possible. Between minor releases the minimum supported version numbers for Hadoop’s native dependencies will not be increased unless necessary, such as for security or licensing issues. When such changes occur, the Hadoop developer community to try to keep the same major version and only update the minor version.
Hadoop depends on the Java virtual machine. The minimum supported version of the JVM will not change between major releases of Hadoop. In the event that the current minimum supported JVM version becomes unsupported between major releases, the minimum supported JVM version may be changed in a minor release.
Hadoop has dependencies on some transport level technologies, such as SSL. The minimum supported version of these dependencies will not be increased unless necessary, such as for security or licensing issues. When such changes occur, the Hadoop developer community to try to keep the same major version and only update the minor version.
Service port numbers for Hadoop will remain the same within a major version, though may be changed in a major release.
Hadoop’s internal wire protocols will be maintained as backward and forward compatible across minor releases within the same major version, both between clients and servers and between servers, with the intent of enabling rolling upgrades. Forward and backward compatibility of wire protocols across major releases may be possible and may allow for rolling upgrades under certain conditions, but no guarantees are made.
The Hadoop REST APIs provide an easy mechanism for collecting information about the state of the Hadoop system. To support REST clients, the Hadoop REST APIs are versioned and will not change incompatibly within a version. Both the endpoint itself along with the list of supported parameters and the output from the endpoint are prohibited from changing incompatibly within a REST endpoint version. Note, however, that introducing new fields and other additive changes are considered compatible changes, so any consumer of the REST API should be flexible enough to ignore unknown fields.
The REST API version is a single number and has no relationship with the Hadoop version number. The version number is encoded in the endpoint URL prefixed with a ‘v’, for example ‘v1’. A new REST endpoint version may only be introduced with a minor or major release. A REST endpoint version may only be removed after being labeled as deprecated for a full major release.
Hadoop produces a variety of outputs that could conceivably parsed by automated tools. When consuming output from Hadoop, please consider the following:
Hadoop’s set of CLIs provide the ability to manage various aspects of the system as well as discover information about the system’s state. Between major releases, no CLI tool options will be removed or change semantically. The exception to that rule is CLI tools and tool options that are explicitly labeled as experimental and subject to change. The output from CLI tools will likewise remain the same within a major version number unless otherwise documented.
Note that any change to CLI tool output is considered an incompatible change, so between major versions, the CLI output will not change. Note that the CLI tool output is distinct from the log output produced by the CLI tools. Log output is not intended for automated consumption and may change at any time.
Hadoop’s internal system state is private and should not be modified directly. The following policies govern the upgrade characteristics of the various internal state stores:
Hadoop uses two primary forms of configuration files: XML configuration files and logging configuration files.
The XML configuration files contain a set of properties as name-value pairs. The names and meanings of the properties are defined by Hadoop and are guaranteed to be stable across minor releases. A property can only be removed in a major release and only if it has been marked as deprecated for at least a full major release. Most properties have a default value that will be used if the property is not explicitly set in the XML configuration files. The default property values will not be changed during a maintenance releas. For details about the properties supported by the various Hadoop components, see the component documentation.
Downstream projects and users can add their own properties into the XML configuration files for use by their tools and applications. While Hadoop makes no formal restrictions about defining new properties, a new property that conflicts with a property defined by Hadoop can lead to unexpected and undesirable results. Users are encouraged to avoid using custom configuration property names that conflict with the namespace of Hadoop-defined properties and thus should avoid using any prefixes used by Hadoop, e.g. hadoop, io, ipc, fs, net, file, ftp, kfs, ha, file, dfs, mapred, mapreduce, and yarn.
The log output produced by Hadoop daemons and CLIs is governed by a set of configuration files. These files control the minimum level of log message that will be output by the various components of Hadoop, as well as where and how those messages are stored. Between minor releases no changes will be made to the log configuration that reduce, eliminate, or redirect the log messages.
Hadoop makes use of a number of other types of configuration files in a variety of formats, such as the JSON resource profiles configuration or the XML fair scheduler configuration. No incompatible changes will be introduced to the configuration file formats within a minor release. Even between minor releases incompatible configuration file format changes will be avoided if possible.
The location and general structure of the Hadoop configuration files, job history information (as consumed by the job history server), and logs files generated by Hadoop will be maintained across maintenance releases.
The contents of the Hadoop distribution, e.g. JAR files, are subject to change at any time and should not be treated as reliable, except for the client artifacts. Client artifacts and their contents will remain compatible within a major release. It is the goal of the Hadoop development community to allow application code to continue to function unchanged across minor releases and, whenever possible, across major releases. The current list of client artifacts is as follows:
Some Hadoop components receive information through environment variables. For example, the HADOOP_OPTS environment variable is interpreted by most Hadoop processes as a string of additional JVM arguments to be used when starting a new JVM. Between minor releases the way Hadoop interprets environment variables will not change in an incompatible way. In other words, the same value placed into the same variable should produce the same result for all Hadoop releases within the same major version.
Hadoop relies on a large number of third-party libraries for its operation. As much as possible the Hadoop developer community works to hide these dependencies from downstream developers. Nonetheless Hadoop does expose some of its dependencies, especially prior to Hadoop 3. No new dependency will be exposed by Hadoop via the client artifacts between major releases.
A common downstream anti-pattern is to use the output of hadoop classpath to set the downstream application’s classpath or add all third-party JARs included with Hadoop to the downstream application’s classpath. This practice creates a tight coupling between the downstream application and Hadoop’s third-party dependencies, which leads to a fragile application that is hard to maintain as Hadoop’s dependencies change. This practice is strongly discouraged.
Hadoop also includes several native components, including compression, the container executor binary, and various native integrations. These native components introduce a set of native dependencies for Hadoop. The set of native dependencies can change in a minor release, but the Hadoop developer community will try to limit any dependency version changes to minor version changes as much as possible.
Hadoop is currently supported by the Hadoop developer community on Linux and Windows running on x86 and AMD processors. These OSes and processors are likely to remain supported for the foreseeable future. In the event that support plans change, the OS or processor to be dropped will be documented as deprecated for at least a full minor release, but ideally a full major release, before actually being dropped. Hadoop may function on other OSes and processor architectures, but the community may not be able to provide assistance in the event of issues.
There are no guarantees on how the minimum resources required by Hadoop daemons will change between releases, even maintenance releases. Nonetheless, the Hadoop developer community will try to avoid increasing the requirements within a minor release.
Any file systems supported Hadoop, such as through the FileSystem API, will in most cases continue to be supported throughout a major release. The only case where support for a file system can be dropped within a major version is if a clean migration path to an alternate client implementation is provided.
For question about developing applications and projects against Apache Hadoop, please contact the user mailing list.


|
|
|
|
Thu Oct 27 15:49:40
~
-=[Athelon]=- whispered to Deoris Starstorm @bwr : thank you for checking in ;) |
| The boring default
Test post |
The boring default
Interesting ... there are now Unicode Dice.I can use this... somehow.
The boring default
⚂
| The boring default
I need help making a room with Multiloc I need it for the rp in SOI tho help me please |
The boring default
And another test
The boring default
Testing voice
| The boring default
Makes a test post |
The server corner
Test3
The server corner
teseting
The boring default
testing
| The boring default
yes... from -=[Athelon]=-'s digs... which I could see.. upon posting the "just cheking" note I was flipped back to "The boring default" running Chrome...any ideas? |
| -=[Athelon
]=-'s main digs.
just checking to see if I get flipped back to main page |
| The boring default
Reposting this with a working name: Picture tutorial |
| The boring default
Visitor: The instructions on how to make one of these rooms is here -- in this room. It just doesn't work with triplets. http://soiroom.hyperchat.com/multiloc/multihowto.html And yes, OrcHoard -- MultiLoc requires cookies for whichever server the room room is hosted on. There is no way around that. (The cookie alternatives, such as sessionStorage, are disabled if cookies are turned off.) |
The boring default
Correction:I need to determine which server @soi/bwr et al that the room lives in and allow that cookie.
-=[Athelon ]=-'s main digs.
Yeeehawwwwwww says the Hoard!
-=[Athelon ]=-'s main digs.
Blocking all cookies works as long as I allow this:ssom15.hyperchat.com
-=[Athelon ]=-'s main digs.
test
-=[Athelon ]=-'s main digs.
test
-=[Athelon ]=-'s main digs.
I have narrowed this down to the blocking of ALL cookies.
If I allow first party cookies and block third party cookies this works. If I block them all it does not.


§667-4 Defenses. The mortgagor, or any subsequent mortgagee, may defend the action for foreclosure, and may show any matter in legal or equitable avoidance of the mortgage. [CC 1859, §1234; RL 1925, §2890; RL 1935, §4723; RL 1945, §12423; RL 1955, §336-4; HRS §667-4; am L 1972, c 90, §9(d)]
Rules of Court
Pleading under the Hawaii Rules of Civil Procedure, see HRCP rules 7, 8, 10, 12. Affirmative defenses, see HRCP rule 8(c).
Case Notes
Acceleration provision in mortgage although not in note secured is enforceable by foreclosure. 32 H. 420 (1932).


{% extends "base.html" %} {% load static %} {% block title %}Donate - {{ block.super }}{% endblock %} {% block analytics %} analytics.page("Donate"); {% endblock %} {% block content %}
Missed the Kickstarters and want to donate? Perhaps you acquired the book for free and want to give back? (I'm not judging!)
Contributions go towards supporting the author as well as helping fund workshops and classes using Hello Web Book's material. I appreciate it!


For any queries or suggestions feel free to reach us through the following contacts
CUSTOMER SERVICE
<EMAIL_ADDRESS>Tel;012 4533 32
Phone -Kenya;+254 86 245 346
Manager<EMAIL_ADDRESS>phone-+254 727 910 360
Location
Luthuli avenue// Nairobi
Box;74835 Nairobi


|
Image Processing in C
A set of modules that allow for the manipulation of Binary, RGB and Grayscale images. Also included is a main.c script that shows a text interface allowing for the testing of all of the modules' features
|
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
Macros | |
| #define | LENGTH 12 |
| #define | HELLO "Hello" |
| #define | WORLD "World" |
Functions | |
| void | echo (char *msg) |
| int | main () |
Variables | |
| char * | message |
| char * | buff |
| char * | imgtype |
| int * | bits |
| #define HELLO "Hello" |
| #define LENGTH 12 |
| #define WORLD "World" |
| void echo | ( | char * | msg | ) |
| int main | ( | ) |
| int* bits |
| char* buff |
| char* imgtype |
| char* message |


HTML5
CSS3
JAVASCRIPT
JQUERY
BOOTSTRAP
SASS (SCSS)
GULP
PHOTOSHOP
EDUCATION
MARCH 2015 -
AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY
SEPTEMBER 2011 - FEBRUARY 2015
AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY
WORK EXPERIENCE
NOVEMBER 2016 -
JUNIOR FRONT-END DEVELOPER
FEBRUARY 2016 - OCTOBER 2016
PRODUCT DESIGNER | R&D ENGINEER
JULY 2014 - APRIL 2015
MODEL DESIGNER | 3D PRINTING TECHNICIAN
I am a junior front-end developer, mechatronics engineer and new technologies enthusiast.Now I am focused on building my skills in coding and web designing and I am looking for opportunity to develop these in a software company.
Thank You for contact, I'll do my best to respond as soon as possible.
Thank you for your visit, hope you enjoyed it.
If you have any questions feel free to make use of the contact form.
Lubelska 31/14, Krakow
bartlomiejwojcik92@gmail.com


ControlsMouse steers left/rightLeft mouse button accelerates
Visit GitHub for source and lots more info


Aloha Apparel Co. sells only the finest ready-to-travel clothing. Browse our
current
of products or sign-up for updates below.
Stay uploaded on our latest product releases,
be the first to find out about
upcoming sales and get free style tips from our blog. Unsubscribe at any time.


|
My Project
|
#include <sws.h>
Public Attributes | |
| struct nn_fsm | fsm |
| int | state |
| int | mode |
| struct nn_usock * | usock |
| struct nn_ws_handshake | handshaker |
| struct nn_fsm_owner | usock_owner |
| struct nn_pipebase | pipebase |
| const char * | resource |
| const char * | remote_host |
| int | instate |
| uint8_t | inhdr [NN_SWS_FRAME_MAX_HDR_LEN] |
| uint8_t | opcode |
| uint8_t | payload_ctl |
| uint8_t | masked |
| uint8_t * | mask |
| size_t | ext_hdr_len |
| int | is_final_frame |
| int | is_control_frame |
| int | continuing |
| uint8_t | utf8_code_pt_fragment [NN_SWS_UTF8_MAX_CODEPOINT_LEN] |
| size_t | utf8_code_pt_fragment_len |
| int | pings_sent |
| int | pongs_sent |
| int | pings_received |
| int | pongs_received |
| struct nn_list | inmsg_array |
| uint8_t * | inmsg_current_chunk_buf |
| size_t | inmsg_current_chunk_len |
| size_t | inmsg_total_size |
| int | inmsg_chunks |
| uint8_t | inmsg_hdr |
| uint8_t | inmsg_control [NN_SWS_PAYLOAD_MAX_LENGTH] |
| char | fail_msg [NN_SWS_PAYLOAD_MAX_LENGTH] |
| size_t | fail_msg_len |
| int | outstate |
| uint8_t | outhdr [NN_SWS_FRAME_MAX_HDR_LEN] |
| struct nn_msg | outmsg |
| struct nn_fsm_event | done |
| int nn_sws::continuing |
| struct nn_fsm_event nn_sws::done |
| size_t nn_sws::ext_hdr_len |
| char nn_sws::fail_msg[NN_SWS_PAYLOAD_MAX_LENGTH] |
| size_t nn_sws::fail_msg_len |
| struct nn_fsm nn_sws::fsm |
| struct nn_ws_handshake nn_sws::handshaker |
| uint8_t nn_sws::inhdr[NN_SWS_FRAME_MAX_HDR_LEN] |
| struct nn_list nn_sws::inmsg_array |
| int nn_sws::inmsg_chunks |
| uint8_t nn_sws::inmsg_control[NN_SWS_PAYLOAD_MAX_LENGTH] |
| uint8_t* nn_sws::inmsg_current_chunk_buf |
| size_t nn_sws::inmsg_current_chunk_len |
| uint8_t nn_sws::inmsg_hdr |
| size_t nn_sws::inmsg_total_size |
| int nn_sws::instate |
| int nn_sws::is_control_frame |
| int nn_sws::is_final_frame |
| uint8_t* nn_sws::mask |
| uint8_t nn_sws::masked |
| int nn_sws::mode |
| uint8_t nn_sws::opcode |
| uint8_t nn_sws::outhdr[NN_SWS_FRAME_MAX_HDR_LEN] |
| struct nn_msg nn_sws::outmsg |
| int nn_sws::outstate |
| uint8_t nn_sws::payload_ctl |
| int nn_sws::pings_received |
| int nn_sws::pings_sent |
| struct nn_pipebase nn_sws::pipebase |
| int nn_sws::pongs_received |
| int nn_sws::pongs_sent |
| const char* nn_sws::remote_host |
| const char* nn_sws::resource |
| int nn_sws::state |
| struct nn_usock* nn_sws::usock |
| struct nn_fsm_owner nn_sws::usock_owner |
| uint8_t nn_sws::utf8_code_pt_fragment[NN_SWS_UTF8_MAX_CODEPOINT_LEN] |
| size_t nn_sws::utf8_code_pt_fragment_len |


Coding Challenge V
Remember the tip calculator challenge? Let's create a more advanced version using everything we learned!
This time, John and his family went to 5 different restaurants. The bills were $124, $48, $268, $180 and $42.
John likes to tip 20% of the bill when the bill is less than $50, 15% when the bill is between $50 and $200, and 10% if the bill is more than $200.
Implement a tip calculator using objects and loops:
- Create an object with an array for the bill values.
- Add a method to calculate the tip.
-
This method should include a loop to iterate over all the paid bills and do the tip calculations.
-
As an output, create:
- A new array containing all tips, and
- An array containing final paid amounts (bill + tip).
HINT: Start with two empty arrays [] as properties and then fill them up in the loop.
EXTRA AFTER FINISHING: Mark's family also went on a holiday, going to 4 different restaurants. The bills were $77, $375, $110, and $45.
Mark likes to tip 20% of the bill when the bill is less than $100, 10% when the bill is between $100 and $300, and 25% if the bill is more than $300 (different than John).
-
Implement the same functionality as before, this time using Mark's tipping rules.
-
Create a function (not a method) to calculate the average of a given array of tips.
HINT: Loop over the array, and in each iteration store the current sum in a variable (starting from 0). After you have the sum of the array, divide it by the number of elements in it (that's how you calculate the average).
- Calculate the average tip for each family.
- Log to the console which family paid the highest tips on average.
GOOD LUCK! 😀
Check the developer console for the log


URL Shortener Microservice
User Stories:
- I can pass a URL as a parameter and I will receive a shortened URL in the JSON response.
- If I pass an invalid URL that doesn't follow the valid http://www.example.com format, the JSON response will contain an error instead.
- When I visit that shortened URL, it will redirect me to my original link.
Example Usage
https://fcc-url-shorten.herokuapp.com//https://www.google.ca
Example Output
{ "original_url":"https://www.google.ca", "short_url":"https://fcc-url-shorten.herokuapp.com//zfr75t" }


This is main heading
This is another heading
lets create a css file to this sorry we forgt to link css


This page was last edited on 14 December 2019 by Hui
Overview
LRRS is an open source lab report management software for college students.The lab report repository system was developed for general purposes and used to replace old paperwork and email-based systems . This system increases the efficiency of lab report submission and result reporting for both lecturers and students.
The project was developed at ZJNU by Mohamed nor and El-mahdi houzi. The project was tested by some undergraduate students at the Zhejiang Normal University.
The system is developed using client/server architecture and its compatible with both Linux and Microsoft Windows Operating Systems. The system was developed using PHP Scripting language and MySQL as database management system.
The LRRS project has seen incredible improvements since it's development earlier 2019. The software includes a lot of features that simplify assignment submission and grading. we invite you to participate in the development of LRRS. For helpful hints about how to get the most out of this project, see Quick Start Section.


Galaxy Watch Active 2 features coming to Galaxy Watch and Watch Active
by Damien WildeAn update for the Samsung Galaxy Watch Active is bringing the Galaxy Watch 2 feature to the older Galaxy Watch and Galaxy Watch Active smartwatches.
Samsung has confirmed the features will be heading to older Galaxy Watch and Watch Active devices including the touch bezel interface, new Samsung Health features, additional Bixby Voice functions, and more customizable watch faces.
Bixby Voice will now allow you to start exercise routines, find out time differences between places, and enhance control of your SmartThings ecosystem. These new controls are available in English, French, German, Italian, and Spanish.
The Galaxy Watch update also brings with it more abilities to customize your watch faces, with 24 new sub-dials and complications available for parity with the Galaxy Watch Active 2 — bringing the total to 41. There’s even room for the My Style feature, which comes to the Galaxy Watch and Watch active for the first time.
Other new Galaxy Watch Active 2 features heading to the older models include some UI tweaks that should enhance the overall user experience. Icons of in-use apps are now moved to the bottom of the watch face, which feels less cluttered and allows you to easily track any apps in usage or in-progress tasks.
The final new feature as part of the Galaxy Watch Active update involves Samsung Health. The Daily Active feature is now able to keep track of your fitness goals, lap times on runs, or when cycling, while it also includes a new low heart-rate alert.
All of these new features are coming out right now, with the updates heading out on a region-by-region basis from today.
More on Samsung:
- Samsung Galaxy Note 10+ gets ‘Star Wars: The Rise of Skywalker’ bundle in December
- Samsung to outsource production to China in bid to compete with budget brands
- Samsung Galaxy S9 and Note 9 will get Android 10 beta update ‘soon’
FTC: We use income earning auto affiliate links. More.


Edits performed by not registeres users are often referred to as "anonymous editing", but in reality their actions are less anonymous than that of many other registered users: Wikipedia, indeed, guarantees more privacy for registered users than for unregistered ones. IP (Internet Protocol) addresses allow us to trace the location of anonymous edits.


Publications
Preprints
- F. Castro-Jul, R. P. Díaz-Redondo, A. Fernández-Vilas, S. Chabridon, and D. Conan, “Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems”, Preprints 2018,<PHONE_NUMBER>.
2018
- F. Castro-Jul, R. P. Díaz-Redondo, and A. Fernández-Vilas, “Collaboratively assessing urban alerts in ad hoc participatory sensing”, Computer Networks, vol. 131, pp. 129–143, 2018.
2017
- F. Castro-Jul, D. Conan, S. Chabridon, R. P. Díaz-Redondo, A. Fernández-Vilas, and C. Taconet, “Combining fog architectures and distributed event-based systems for mobile sensor location certification”, in International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI), pp. 27–33, Springer, 2017.
- F. Castro-Jul, A. Fernandez-Vilas, and R. P. Díaz-Redondo, “How should my device behave now? Adapting consensus protocols for autonomous context management”, Journal of Computers, vol. 12, no. 3, pp. 200–2011, 2017.
2016
- F. Castro-Jul, R. P. Díaz-Redondo, and A. Fernández-Vilas, “Have you also seen that? Collaborative alert assessment in ad hoc participatory sensing”, in International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI), pp. 125–130, Springer, 2016.
*****


Zhihui Li and Lina Yao.Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations, 2021 Conference on Computer Vision and Pattern Recognition (CVPR-21), Virtual Conference, Worldwide, June 19 - June 25, 2021
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang and Guodong Long.Task Aligned Generative Meta-learning for Zero-shot Learning, The 35th AAAI Conference on Artifical Intelligence (AAAI-21), Virtual Conference, Worldwide, February 2 - February 9, 2021
Lei Bai, Lina Yao, Can Li, Xianzhi Wang and Can Wang. Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020), December 6 - 12, 2020, Vancouver Convention Center, Vancouver, Canada.
Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge and Huaxiang Zhang. Grounding Visual Concepts for Multimedia Event Detection and Multimedia Event Captioning in Zero-shot Setting. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20), August 23 - 27, 2020, San Diego, California, USA.
Manqing, Feng Yuan, Lina Yao, Xiwei Xu and Liming Zhu. MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20), August 23 - 27, 2020, San Diego, California, USA.
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang and Can Wang. Spectrum-Guided Adversarial Disparity Learning. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-20), August 23 - 27, 2020, San Diego, California, USA.
Lei Bai, Lina Yao, Xianzhi Wang, Salil.S.Kanhere, Bin Guo and Zhiwen Yu. Adversarial Multi-view Networks for Activity Recognition. The 2020 ACM international joint conference on pervasive and ubiquitous computing (UbiComp-20), September 14 - 16, 2020, Cancún, México.
Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu and Wenjie Zhang Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. The 2020 International Joint Conference on Neural Networks (IJCNN 2020), July 19 - 24, 2020, Glasgow, UK.
Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai and Jake An. Are You a Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. The 2020 International Joint Conference on Neural Networks (IJCNN 2020), July 19 - 24, 2020, Glasgow, UK.
Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai and S. Travis Waller. Mobility Irregularity Detection with Smart Transit Card Data. The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), May 11 - 14, 2020, Singapore.
Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere and Yang Xiao. Prototype Similarity Learning for Activity Recognition. The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), May 11 - 14, 2020, Singapore.
Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li and Huaxiang Zhang.Adaptive Two-Dimensional Embedded Image Clustering. The 34rd AAAI Conference on Artifical Intelligence (AAAI-20) (AAAI 2020), Feb 7 - 12, 2020, New York City, New York, USA.
Can Li, Lei Bai, Wei Liu, Lina Yao, and S. Travis Waller Passenger Demographic Attributes Prediction for Human-centered Public Transport. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019), December 12-15, 2019, Sydney, Australia.
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, and Manqing Dong Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019), December 12-15, 2019, Sydney, Australia.
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, and Lina YaoMulti-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019), December 12-15, 2019, Sydney, Australia.
Shuai Zhang, Yi Tay, Lina Yao and Qi Li Quaternion Knowledge Graph Embeddings. Thirty-third Conference on Neural Information Processing Systems(NeurIPS 2019), December 8-14, 2019, Vancouver, Canada.
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, and Yunhao LiuKnow Your Mind: Adaptive Cognitive Activity Recognition with Reinforced Attentive Convolutional Neural Networks. The 19th IEEE International Conference on Data Mining(ICDM 2019), November 8-11, 2019, Beijing, China.
Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, and Po LiAttentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. The 19th IEEE International Conference on Data Mining(ICDM 2019), November 8-11, 2019, Beijing, China.
Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, and Sen WangCollective Protection: Preventing Sensitive Inferences via Integrative Transformation.The 19th IEEE International Conference on Data Mining(ICDM 2019), November 8-11, 2019, Beijing, China.
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, and Aixin Sun, DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.
Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo and Zhiwen Yu, Multi-agent Attentional Activity Recognition.The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.
Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang and Quan Z. Sheng, STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting.The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.
Feng Yuan, Lina Yao and Boualem Benatallah, DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns.The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang and Yi Tay, Quaternion Collaborative Filtering for Recommendation.The 28th International Joint Conference on Artificial Intelligence(IJCAI 2019), August 10-16, 2019, Macau, China.
Xiang Zhang, Lina Yao and Feng Yuan. Adversarial Variational Embedding for Robust Semi-supervised Learning.The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), August 4 - 8, 2019, Anchorage, Alaska.
Feng Yuan, Lina Yao and Boualem Benatallah. Adversarial Collaborative Neural Network for Robust RecommendationThe 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) July 21-25, 2019, Paris, France.
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long and Sen Wang. Distributionally Robust Semi-supervised Learning for People-centric Sensing.The 33rd AAAI Conference on Artifical Intelligence ( AAAI-19), January 27 - February 1, 2019, Honolulu, Hawaii, USA.
Zhihui Li, Lina Yao, Xiaoqing Zhang, Xianzhi Wang, Salil. S. Kanhere and Huaxiang Zhang. Zero-Shot Object Detection with Textual Descriptions.The 33rd AAAI Conference on Artifical Intelligence ( AAAI-19), January 27 - February 1, 2019, Honolulu, Hawaii, USA.
Can Li, Lei Bai, Wei Liu, Lina Yao, and S. Travis Waller Passenger Demographic Attributes Prediction for Human-centered Public Transport. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019), Sydney, Australia, December 12-15, 2019.
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, and Manqing Dong， Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. Thirty-Third Annual Conference on Neural Information Processing Systems(ICONIP 2019), Sydney, Australia, December 12-15, 2019.
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, and Lina Yao, Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Thirty-Third Annual Conference on Neural Information Processing Systems (ICONIP 2019), Sydney, Australia, December 12-15, 2019.
Lei Bai,Lina Yao,Salil S. Kanhere, Xianzhi Wang, Wei Liu and Zheng Yang. Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. The 28th International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 3-7, 2019.
Yuan Feng, Lina Yao,Boualem Benatallah. Adversarial Collaborative Auto-encoder for Top-N Recommendation. International Joint Conference on Neural Networks (IJCNN 2019),Budapest, Hungary, July 14 - 19, 2019.
Manqing Dong, Lina Yao,Xianzhi Wang, Boualem Benatallah, Xiang Zhang and Quan Z. Sheng. Dual-stream Self-Attentive Random Forest for False Information Detection. International Joint Conference on Neural Networks (IJCNN 2019),Budapest, Hungary, July 14 - 19, 2019.
Manqing Dong, Lina Yao,Xianzhi Wang, Boualem Benatallah and Chaoran Huang. Similarity-aware Deep Attentive Model for Clickbait Detection. The 23nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019),Macau, China, April 14 - 17, 2019
Lei Bai, Lina Yao,Salil. S. Kanhere, Zheng Yang, Jing Chu and Xianzhi Wang. Passenger Demand Forecasting with Multi-task Convolutional Recurrent Neural Networks. The 23nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019),Macau, China, April 14 - 17, 2019
Kaixuan Chen, Lina Yao,Dalin Zhang, Xiaojun Chang, Guodong Long and Sen Wang. Distributionally Robust Semi-supervised Learning for People-centric Sensing. The 33rd AAAI Conference on Artifical Intelligence (AAAI 2019), Honolulu, Hawaii, USA, January 27 - February 1, 2019
Zhihui Li, Lina Yao,Xiaoqing Zhang, Xianzhi Wang, Salil. S. Kanhere and Huaxiang Zhang. Zero-Shot Object Detection with Textual Descriptions. The 33rd AAAI Conference on Artifical Intelligence (AAAI 2019), Honolulu, Hawaii, USA, January 27 - February 1, 2019
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui,Lina Yaoand Vinh Tran. Holographic Factorization Machines for Recommendation. The 33rd AAAI Conference on Artifical Intelligence (AAAI 2019), Honolulu, Hawaii, USA, January 27 - February 1, 2019
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora Salim and Pari Delir Haghighi Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. The 15th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2018). New York City, USA, Nov 5 - 7, 2018
Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Zheng Sheng, and Xue Li, Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. IEEE International Conference on Data Mining ( ICDM 2018). Singapore, November 17-20, 2018.
Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Ready for Use: Subject-Independent Movement Intention Recognition via A Convolutional Attention Model. The 27th ACM Conference on Information and Knowledge Management ( CIKM 2018). Lingotto, Turin, Italy, October 22 - 26, 2018
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Michael Sheng and Hao Huang. DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. The 19th International Conference on Web Information Systems Engineering (WISE 2018), Dubai, United Arab Emirates, November 12 - 15, 2018.
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah and Shuai Zhang. Data-Augmented Regression with Generative Convolutional Network. The 19th International Conference on Web Information Systems Engineering (WISE 2018), Dubai, United Arab Emirates, November 12 - 15, 2018.
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang and Manqing Dong. Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. The 16th International Conference on Service Oriented Computing (ICSOC 2018), Hangzhou, China, November 12-15, 2018.
Xiang Zhang, Lina Yao, Salil.S. Kanhere, Yunhao Liu, Tao Gu and Kaixuan Chen. MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp 2018), Oct 8 - 12, 2018, Singapore. (ACM Journal of IMWUT)
Lei Bai, Lina Yao, Salil.S. Kanhere, Xianzhi Wang and Zheng Yang. Automatic Device Classification from Network Traffic Streams of Internet of Things. The 43nd IEEE Conference on Local Computer Networks (LCN) ( LCN 2018), October 1 - 4, 2018, Chicago, USA.
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long and Manqing Dong, NeuRec: On Nonlinear Transformation for Personalized Ranking. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 13-19 2018, Stockholm, Sweden.
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang, Multi-modality Sensor Data Classification with Selective Attention. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 13-19 2018, Stockholm, Sweden.
Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang, Adversarially Regularized Graph Autoencoder. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), July 13-19 2018, Stockholm, Sweden.
Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang，Tao Gu, Zhiwen Yu and Zheng Yang. Interpretable Recurrent Convolutional Neural Networks with Parallel Attentions for Multi-Modality Activity Modeling. International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, July 8 - 13, 2018.
Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li, Xin Miao and Zheng Yang. Passenger Demand Prediction with Cellular Footprints. IEEE International Conference on Sensing, Communication and Networking (SECON 2018), HongKong, China, June 11 - 13, 2018.
Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang and Boualem Benatallah. Fuzzy Integral Optimization with Deep Q-Network for EEG-based Intention Recognition. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 3 - 6, 2018.
Yihong Zhang, Lina Yao. Mining POI Alias from Microblog Conversations. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 3 - 6, 2018.
Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian and Xue Li. EEG-based Motion Intention Recognition via Multi-task RNNs. SIAM International Conference on Data Mining (SDM 2018), San Diego, USA, May 3 - 5, 2018.
Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu and Dalin Zhang. Converting Your Thougts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. IEEE International Conference on Pervasive Computing and Communications (Percom 2018), Athens, Greece, Mar 19, 2018 - Mar 23, 2018.
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots and Boualem Benatallah. Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018
Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, and Min Xu. Multi-rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), New Orleans, Lousiana, USA, 2 - 7 February, 2018
Xiang Zhang, Lina Yao, Chaoran Huang, QuanZheng Sheng and Xianzhi Wang, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. The 24th International Conference On Neural Information Processing (ICONIP 2017). Guangzhou, China, November 14-18, 2017.
Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang and Liming Zhu， Hybrid Collaborative Recommendation via Semi-AutoEncoder. The 24th International Conference On Neural Information Processing (ICONIP 2017). Guangzhou, China, November 14-18, 2017.
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng and Tao Gu. Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. The 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017). Melbourne, Australia Nov 7 - 10, 2017
Chunguang Li, Rongyi He, Lina Yao and Chongben Tao. Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm. The 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017). Melbourne, Australia Nov 7 - 10, 2017
Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, and Lina Yao. Interpolating the Missing Values for Multi-Dimensional Spatio-Temporal Sensory Data: A Tensor SVD Approach. . The 14th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2017). Melbourne, Australia Nov 7 - 10, 2017
Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Lina Yao, and Anne H.H. Ngu, SourceVote: Fusing Multi-Valued Data via Inter-Source Agreements. The 36th International Conference on Conceptual Modeling (ER 2017). Valencia, Spain, November 6-9, 2017.
Xiaodong Ning, Lina Yao, Xianzhi Wang and Boualem Benatallah, Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises. The The 13rd International Conference on Advanced Data Mining and Applications (ADMA 2017), Singapore, Nov 5 - 6, 2017. (Spotlight Research Paper)
Guangyang Qi, Lina Yao and Anton UzunovFault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks. The The 13rd International Conference on Advanced Data Mining and Applications (ADMA 2017), Singapore, Nov 5 - 6, 2017. (Spotlight Research Paper)
Nguyen Khoi Tran, Quan Z. Sheng, M. Ali Babar, and Lina Yao. A Kernel-based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things，The 18th International Conference on Web Information System Engineering (WISE 2017) (WISE) , Moscow, Russia, October 7-11, 2017.
Shuai Zhang, Lina Yao and Xiwei Xu, AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. The 40th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017). Tokyo, Japan, August 7 - 11, 2017.
Anne Ngu, Yeahuay Wu, Andrew Polican, Habil Zare and Lina Yao, Fall Detection using Smartwatch Sensor Data with Accessor Architecture. The 4th International Conference for Smart Health (ICSH 2017). Hongkong, China, June 26 - 27, 2017.
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah and Quan Z. Sheng, Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. The 24th IEEE International Conference on Web Services (ICWS 2017). Honolulu, Hawaii, USA, June 25 - June 30, 2017.
Usama Salama, Lina Yao, Xianzhi Wang, Helen Paik and Amin Beheshti, Multi-Level Privacy-Preserving Access Control as a Service for Ambient Assisted Living. The 24th IEEE International Conference on Web Services (ICWS 2017). Honolulu, Hawaii, USA, June 25 - June 30, 2017.
Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, and Lina Yao. Learning-based SPARQL Query Performance Modeling and Predication. The 17th International Conference on Web Information System Engineering ( WISE 2016), Shanghai, China, November 7-10, 2016.
Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu and Boualem BenatallahTruth Discovery via Exploiting Implications from Multi-Source Data. The 25th ACM Conference on Information and Knowledge Management ( CIKM 2016). Indianapolis, USA, October 24-28, 2016.
Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu and Boualem BenatallahEmpowering Truth Discovery with Multi-Truth Prediction. The 25th ACM Conference on Information and Knowledge Management ( CIKM 2016). Indianapolis, USA, October 24-28, 2016.
Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao and Qinfeng Shi Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. The 25th ACM Conference on Information and Knowledge Management ( CIKM 2016). Indianapolis, USA, October 24-28, 2016.
Lina Yao, Boualem Benatallah, Xianzhi Wang, Khoi Nguyen Tran and Qinghua Lu. Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly . The 14th International Conference on Service Oriented Computing ( ICSOC 2016), Banff, Alberta, Canada, October 10 -13, 2016.
Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, and Lina Yao, Uncovering Locally Discriminative Structure for Feature Analysis. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ( ECML-PKDD 2016). Riva del Garda, Italy, September 19-23, 2016.
Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, Xue Li, Sen Wang, Learning from Less for Better: Semi-Supervised Activity Recognition via Shared Structure Discovery. The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing ( UbiComp 2016). Heidelberg, Germany, September 12-16, 2016.
Yongrui Qin, Lina Yao, and Quan Z. Sheng, Approximate Semantic Matching Over Linked Data Streams.. The 27th International Conference on Database and Expert Systems Applications ( DEXA 2016). Porto, Portugal, 5-8 September, 2016.
Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, and Talal H. Noor, Identification as a Service: Large-Scale Cloud Service Discovery Over the World Wide Web. The 23rd IEEE International Conference on Web Services ( ICWS 2016). San Francisco, USA, June 27-July 2, 2016
Bobaker M. A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, and Xianzhi Wang, PLMwsp: A Probabilistic Latent Model for Web Service QoS Prediction. The 23rd IEEE International Conference on Web Services ( ICWS 2016). San Francisco, USA, June 27-July 2, 2016
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, and Longfei Shangguan, Device-Free Indoor Localization and Tracking through Human-Object Interactions.The 17th International Symposium on a World of Wireless, Mobile and Multimedia Networks ( WoWMoM 2016), Coimbra, Portugal, June 21-24, 2016.
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, and Tao Gu. HOI-Loc: Towards Unobstructive Human Localization with Probabilistic Multi-Sensor Fusion. The 14th IEEE International Conference on Pervasive Computing and Communications ( PerCom 2016), Work-in-Progress Track, Sydney, Australia, March 14-18, 2016.
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Khoi Nguyen Tran, and Yu Chieh Yang. PreventDark: Automatically Detecting and Preventing Problematic Use of Smartphones in Darkness. The 14th IEEE International Conference on Pervasive Computing and Communications ( PerCom 2016), Demo Track, Sydney, Australia, March 14-18, 2016.
Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang and Wan Zou. Device-Free Posture Recognition via Online Learning of Multi-Dimensional RFID Received Signal Strengtha. The 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015) , Melbourne, Australia, December 14 - 17, 2015.
Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan and Wan Zou. Freedom: Online Activity Recognition via Dictionary-based Sparse Representation of RFID Sensing Data. The IEEE International Conference on Data Mining (ICDM 2015) , Atlantic City, NJ, USA, November 14 - 17, 2015.
Ali Shemshadi, Lina Yao, Yongrui Qin and Quan Z. Sheng. ECS: A Framework for Diversified and Relevant Searching for the Internet of Things. The 16th International Conference on Web Information System Engineering (WISE 2015), Miami, Florida, November 1-3, 2015.
Xianzhi Wang, Quan Z. Sheng, Xiu Fang, Lina Yao, Xiaofei Xu, Xue Li. An Integrated Bayesian Approach for Multi-Truth Discovery. 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, October 19 - 23, 2015.
Xianzhi Wang, Quan Z. Sheng, Xiu Fang, Xue Li, Xiaofei Xu, Lina Yao. Approximate Truth Discovery via Problem Scale Reduction. 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, October 19 - 23, 2015.
Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, and Quan Z. Sheng. Unsupervised Feature Analysis with Class Margin Optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015). Porto, Portugal, September 7 - 11, 2015.
Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi and Qi He. Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. The 38th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015). Santiago, Chile, August 9 - 13, 2015.
Lina Yao, Quan Z. Sheng, Wenjie Ruan, Tao Gu, Xue Li, Nickolas J.G. Falkner, and Zhi Yang. RF-Care: Device-Free Posture Recognition for Elderly People Using Passive RFID Tag Array. The 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2015). Coimbra, Portugal, July 22–24, 2015.
(PDF)Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J.G. Falkner, and Xue Li. TagFall: Towards Device-Free, Fine-Grained Fall Detection based on UHF Passive RFID Tags. The 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2015). Coimbra, Portugal, July 22–24, 2015.
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan and Wei Zhang. Service Recommendation for Mashup Composition with Implicit Correlation Regularization. The IEEE 22nd International Conference on Web Services (ICWS 2015). New York, USA, June 27 - July 2, 2015. (Research track)
Lina Yao, Quan Z. Sheng Nickolas J.G. Falkner and Anne. H. H. Ngu. ThingsNavi: Finding Most-Related Things via Multi-dimensional Modeling of Human-Thing Interactions. The 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services(MobiQuitous 2014) , December 2–5, 2014 London, Great Britain
Wenjie Ruan, Lina Yao, Quan Z. Sheng, Xue Li and Nickolas J.G. Falkner. TagTrack: Device-free Localization and Tracking Using Passive RFID Tags. The 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services(MobiQuitous 2014) , December 2–5, 2014 London, Great Britain
Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu and Byron Gao. Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014) , November 3-7, 2014, Shanghai, China
Lina Yao, Wenjie Ruan, Quan Z. Sheng, Xue Li and Nickolas J.G. Falkner. Exploring Tag-free RFID-based Passive Localization and Tracking via Learning-based Probabilistic Approaches. The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014) , November 3-7, 2014, Shanghai, China
Lina Yao, Quan Z. Sheng, Anne.H.H.Ngu, Helen Ashman and Xue Li. Exploring Recommendations in Internet of Things. The 37th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014). Gold Coast, Australia, July 6-11, 2014.
Anne H.H. Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao amd Scott Julian. ServiceXplorer: A Similarity-based Web Service Search Engine. The 37th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014). Gold Coast, Australia, July 6-11, 2014.
Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, and Ali Shemshadi. Keyword Search over Web Documents based on Earth Mover's Distance. The 15th International Conference on Web Information Systems Engineering(WISE 2014). Thessaloniki, Greece, October 12-14, 2014.
Lina Yao, Quan Z. Sheng, Byron Gao, Anne.H.H.Ngu and Xue Li. A Model for Discovering Correlations of Ubiquitous Things. The IEEE International Conference on Data Mining (ICDM 2013). Dallas, Texas, USA, December 7-10, 2013.
Lina Yao, Quan Z. Sheng, Aviv Segev and Jian Yu. Recommending Web Services via Combining Collaborative Filtering with Content-based Features . The IEEE 20th International Conference on Web Services (ICWS 2013). Santa Clara Marriott, CA, USA (Center of Silicon Valley), June 27-July 2, 2013. (Research track)
Lina Yao and Quan Z. Sheng. Correlation Discovery in Web of Things. The 22nd International World Wide Web Conference (WWW 2013). Rio, Brazil, May 13 - May 17, 2013.
Zakaria Maamar, Noura Faci, Quan Z. Sheng, and Lina Yao. Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring. The 13th International Conference on Web Information Systems Engineering (WISE 2012). Paphos, Cyprus, November 28-30, 2012.
Lina Yao and Quan Z. Sheng. Exploiting Latent Relevance for Relational Learning of Ubiquitous Things. The 21st ACM Conference on Information and Knowledge Management (CIKM 2012). Maui, Hawaii, USA. October 29 - November 2, 2012.
Lina Yao and Quan Z. Sheng. A Tag-Centric Discriminative Model for Web Objects Classification. The 21st ACM Conference on Information and Knowledge Management (CIKM 2012). Maui, Hawaii, USA. October 29 - November 2, 2012.
Yanbo Wu, Quan Z. Sheng, Damith Ranasinghe, and Lina Yao. PeerTrack: A Platform for Tracking and Tracing Objects in Large-Scale Traceability Networks. The 15th International Conference on Extending Database Technology (EDBT 2012). Berlin, Germany, March 26-30, 2012.
Lina Yao. A Propagation Model for Integrating Web of Things and Social Networks. PhD Symphosium. The Ninth International Conference on Service Oriented Computing (ICSOC 2011), Paphos, Cyprus, December 5-8, 2011.
Lina Yao, Quan Z. Sheng. Particle Filtering based Availability Prediction for Web Services. The Ninth International Conference on Service Oriented Computing (ICSOC 2011), Paphos, Cyprus, December 5-8, 2011.
Zhe Liu, Lina Yao, Xianzhi Wang, Jessica Monaghan, Roland Schaette, Zihuai He, and David McAlpine, Generalizable Sample-efficient Siamese Autoencoder for Hidden Hearing Loss Diagnosis in Listeners with Subjective Tinnitus，IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2021 .
Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang and Yunhao Liu. Preventing Sensitive Information Leakage from Mobile Sensor Signals via Integrative Transformation. IEEE Transactions on Mobile Computing (TMC) , 2021.
May Altulyan, Lina Yao, Chaoran Huang, Salil. S. Kanhere and Quan Z. Sheng. Recommender Systems for the Internet of Things: A Survey, The Computer Journal (The Computer Journal).
Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu and Yunhao Liu. Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. ACM Computing Surveys (ACM Computing Surveys).
Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu and Liming Zhu. Adversarial Dual Autoencoders for Trust-aware Recommendation, Neural Computing and Applications (NCAA) .
Tao Ye, Can Wang,Lina Yao, Weimin Li and Yonghong Yu. Item Trend Learning for Sequential Recommendation System Using Gated Graph Neural Network, Neural Computing and Applications (NCAA) .
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang and Feiping Nie. Agglomerative Neural Networks for Multi-view Clustering , IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 .
Can Li, Lei Bai, Wei Liu, Lina Yao, and Travis S Waller. Urban Mobility Analytics: A Deep Spatial-Temporal Product Neural Network for Traveler Attributes Inference , Transportation Research Part C: Emerging Technologies (Transportation Research Part C), 2020 .
Can Li, Lei Bai, Wei Liu, Lina Yao, and Travis S Waller. Graph Neural Network for Robust Public Transit Demand Prediction, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS) .
Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong and Yu Zhang. Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images, Pattern Recognition (Pattern Recognition) .
Yong Jiao, Tao Zhou, Lina Yao, Guoxu Zhou, Xing Wang and Yu Zhang, Multi-view Multi-scale Optimization of Feature Representation for EEG Classification Improvement，IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2020 .
Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan and Lina Ya, Memory Transformation Networks for Weakly Supervised Visual Classification, Knowledge-Based Systems (Knowledge-Based Systems), 2020 .
Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Malphine and Yu Zhang. A Survey on Deep Learning-based Non-Invasive Brain Signals: Recent Advances and New Frontiers. Journal of Neural Engineering (JNE) , 2020 .
Jing Chu, Xu Wang, Kun Qian, Lina Yao, Fu Xiao, Jianbo Li and Zheng Yang. Passenger Demand Prediction with Cellular Footprints. IEEE Transactions on Mobile Computing (TMC) , 2020 .
Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang and Quan Z. Sheng, MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intelligent Systems ( IEEE Intelligent Systems. 2020.
Bin Guo, Yasan Ding, Lina Yao, Yunji Liang and Zhiwen Yu, The Future of Misinformation Detection: New Perspectives and Trends，ACM Computing Surveys (CUSR) , 2020.
Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang and Yunhao Liu. DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. ACM Transactions on Intelligent Systems and Technology (TIST) 2020.
Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lim Wei Yap, Wenlong Cheng, Lina Yao, Flavia Cicuttini. Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements. Sensors (Sensors),2020
Yang Xiao, Qingqi Pei, Lina Yao and Xianzhi Wang, RecRisk: An Enhanced Recommendation Model with Multi-facet Risk Control. Expert Systems with Applications (Expert Systems with Applications), 2020
Sin Kuang Lo, Xiwei Xu, Mark Staples and Lina Yao. Reliability Analysis for Blockchain Oracles. Computers and Electrical Engineering (Computers and Electrical Engineering),2020
Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai and Xianzhi Wang, An Enhanced Probabilistic Fairness-Aware Group Recommendation byIncorporating Social Activeness. Journal of Network and Computer Applications (JNCA), 2020 .
Xiang Zhang, Lina Yao，Manqing Dong, Zhe Liu, Yu Zhang and Yong Liu, Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection，Journal of Biomedical and Health Informatics (JBHI), 2020 .
Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao and Yanzhang Lyu, Dual-Stream Generative Adversarial Networks for Distributionally Robust Zero-Shot Learning，Information Science (Information Science), 2020 .
Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, and Bo Wei, A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. Ad Hoc Networks (Ad Hoc Networks), 2020.
Dalin Zhang, Kaixuan Chen, Debao Jian and Lina Yao， Motor Imagery Classification via TemporalAttention Cues of Graph Embedded EEG Signals，Journal of Biomedical and Health Informatics (JBHI), 2020 .
Chen Gao, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, and Depeng Jin. Learning to Recommend with Multiple Cascading Behaviors. IEEE Transactions on Knowledge Discovery and Engineering (TKDE),2019 （to appear）.
Dalin Zhang, Lina Yao, Kaixuan, Sen Wang, Xiaojun Chang, Yunhao Liu. Making Sense of Spatio-Temporal Preserving Representations for EEG-based Human Intention Recognition，IEEE Transactions on Cybernetics (TCYB), 2019 .
Zhiwen Yu, En Xu, Du He, Bin Guo and Lina Yao. Inferring User Profile Attributes from Multi-dimensional Mobile Phone Sensory Data，IEEE Internet of Things Journal (IEEE Internet of Things Journal), 2019 .
Lichuan Ma, Qingqi Pei, Yong Xiang, Lina Yao, and Shui Yu, A Reliable Reputation Computation Framework for Online Items in E-commerce. Journal of Network and Computer Applications (JNCA), 2019 .
Xiaodong Ning, Lina Yao, Boualem Benatallah, Yihong Zhang, Salil. S. Kanhere and Quan Z. Sheng, Source-aware Crisis-relevant Tweet Identification and Key Information Summarization. ACM Transactions on Internet Technology (TOIT), 2019 .
Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun and Huaxiang Zhang. Zero-shot Event Detection via Event-Adaptive Concept Relevance Mining. Pattern Recognition (PR), 2018 .
Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu. Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity，IEEE Internet of Things Journal (IEEE Internet of Things Journal), 2018 .
Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. . Deep Learning based Recommender System: A Survey and New Perspectives，ACM Computing Surveys (CUSR) , 2018 .
Tran Khoi Nguyen, Quan Z. Sheng, M. Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar. Internet of Things Search Engine: Concepts, classification, and open issues. Communications of the ACM (CACM), 2018 .
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang. Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. Pattern Recognition Letters (PRL), 2018 .
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong and Shuai Zhang. Rating Prediction via Generative Convolutional Neural Networks based Regression. Pattern Recognition Letters (PRL), 2018 .
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang and Xiaodong Ning. Opinion Fraud Detection via Neural Autoencoder Decision Forest. Pattern Recognition Letters (PRL), 2018 .
Xianzhi Wang,Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong. A Survey on Expert Recommendation in Community Question Answering. Journal of Computer Science and Technology (JCST) 2018 .
Zhichao Zhang, Yuan Zhang, Lina Yao, Houbing Song and Anton Kos. A Sensor-Based Wrist Pulse Signal Processing and Lung Cancer Recognition. Journal of Biomedical Informatics (JBI) Volume 79, March 2018
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah and Chaoran Huang. Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Transactions on Services Computing (TSC) 2018.
Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, and Salil Kanhere. WITS: An IoT-endowed Computational Framework for Activity Recognition in Personalized Smart Homes. Computing, Springer (Computing) , 2018 .
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Xue Li, Nick Falkner and Lei Yang, Device-free Human Localization and Tracking with UHF Passive RFID Tags: A Data-driven Approach. Journal of Network and Computer Applications (JNCA), 2018 .
Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Kerry Taylor, Ali Shemshadi, and Yongrui Qin, A Learning Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases. ACM Transactions on Internet Technology (TOIT), 2017 .
Wei Emma Zhang, Quan Z. Sheng, Yongrui Qian, Kerry Taylor, and Lina Yao. Learning-based SPARQL Query Performance Modeling and Prediction. World Wide Web Journal (WWWJ) , 2017 .
Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang and Yongrui Qin. Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. ACM Transactions on Internet Technology (TOIT), 2017 .
Nguyen Khoi Tran, Quan Z. Sheng, M. Ali Babar, and Lina Yao. Searching the Web of Things: State of the Art, Challenges and Solutions，ACM Computing Surveys (CUSR) , 2017 .
Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang and Wenjie Ruan. Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Transactions on Mobile Computing (TMC) , 2017 .
Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li and Sen Wang. Collaborative Text Categorization via Exploiting Sparse Coefficients. World Wide Web Journal (WWWJ) , 2017 .
Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng and Guodong Long, Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Transactions on Knowledge Discovery (TKDD) Vol 11, No 3, 2017.
Xianzhi Wang, Xiaofei Xu, Zhongjie Wang, Quan Z. Sheng, and Lina Yao. Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Transactions on Services Computing (TSC) 2017.
Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu, Xue Li and Boualem Benatallah. Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. ACM Transactions on Intelligent Systems and Technology (TIST) 2017.
Ali Shemshadi, Quan Z. Sheng, Wei Emma Zhang, Aixin Sun, Yongrui Qin, and Lina Yao. Searching for the Internet of Things on the Web: Where It Is and What It Looks Like. Personal and Ubiquitous Computing (PUC), 2017 .
Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, and Quan Z. Sheng. Diagnosis Code Assignment Using Sparsity-based Disease Correlation Embedding. IEEE Transactions on Knowledge Discovery and Engineering (TKDE), Vol 28, No 12, pp 3191-3202, 2016.
Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu and Xue Li. Things of Interest Recommendation by Leveraging Heterogeneous Relations in Internet of Things. ACM Transactions on Internet Technology (TOIT), Vol 16, No 2, p9, 2016.
Yongrui Qin, Quan Z. Sheng, Nicolas Falkner, Lina Yao, Simon Parkinson. Efficient Computation of Distance Labeling for Decremental Updates in Large Dynamic Graphs. World Wide Web Journal (WWWJ) , 2016.
Talal H. Noor, Quan Z. Sheng, Lina Yao, Schahram Dustdar and Anne. H. H. Ngu. CloudArmor: Supporting Reputation-based Trust Management for Cloud Services. IEEE Transactions on Parallel and Distributed Systems (TPDS) , Vol 27, No 2, pp 367-380, 2016.
Lina Yao, Quan Z. Sheng, Anne. H. H. Ngu, Byron Gao, Xue Li and Sen Wang. Multi-Label Classification via Learning a Unified Object-Label Graph with Sparse Representation. World Wide Web Journal (WWWJ) , pp 1 -25, 2015.
Lina Yao, Quan Z. Sheng and Schahram Dustdar. Web-based Management of the Internet of Things. IEEE Internet Computing (IEEE Internet Computing) ,Vol 19, No 4, pp 60-67, July/August, 2015.
Rui Zeng, Quan Z. Sheng and Lina Yao. A Simulation Method for Effective Social Network Analysis. Social Network Analysis and Mining (SNAM) , Springer, Vol 5, No 1, 2015.
Lina Yao, Quan Z. Sheng, Anne.H.H.Ngu, Jian Yu, and Aviv Segev. Unified Collaborative and Content-Based Web Service Recommendation. IEEE Transactions on Services Computing (TSC) , Vol 8, No 3, pp 453-466, 2015.
Quan Z. Sheng, Zakaria Maamar, Lina Yao, Claudia Szabo, and Scott Bourne. Behavior Modeling and Automated Verification of Web Services. Information Sciences, Vol 258, pp 416-433, 2014.
Zakaria Maamar, Nora Faci, K. Boukadi, Quan Z. Sheng, Lina Yao.Commitments to Regulate Social Web Services Operation. IEEE Transactions on Services Computing (TSC ),Vol 7, No 2, pp 154-167, 2014.
Lina Yao, Quan Z. Sheng, and Zakaria Maamar. Achieving High Availability of Web Services Based on a Particle Filtering Approach. International Journal of Next-Generation Computing, 2012.
H. Yahyaoui, A. Mourad, M. Almullah, Lina Yao, and Quan Z. Sheng. A Synergy Between Context-Aware Policies and AOP to Achieve Highly Adaptable Web Services. Service Oriented Computing and Applications (SOCA 2012), Springer, 2012.


Arsenal sacks manager Unai Emery after 18 months in charge
Spanish coach removed from London club after home match against Eintracht Frankfurt
by Murad AhmedUnai Emery has been sacked as manager of Arsenal, as the US owners of the English Premier League club respond to poor results and as disgruntled fans stay away from matches.
The Spanish coach was removed from his post on Friday, the day after a 2-1 loss against Germany’s Eintracht Frankfurt, a match that was played in front of a half full Emirates stadium, the London team’s home ground.
The club is owned by Stan Kroenke, the US billionaire sports mogul, who appointed Emery to succeed longtime first team manager Arsène Wenger 18 months ago.
The club said: “The decision has been taken due to results and performances not being at the level required.”
In a statement, Josh Kroenke, Stan’s son, said: “Our most sincere thanks go to Unai and his colleagues who were unrelenting in their efforts to get the club back to competing at the level we all expect and demand. We wish Unai and his team nothing but future success.”
Assistant coach Freddie Ljungberg has been promoted to lead the first team on an interim basis until a permanent successor is found.


Contents
Short Descriptions
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is a utility for reading and writing data across networks from the command line. |
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is a tool to aid in the comparison of Nmap scans. |
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is a utility for network exploration and security auditing. It supports ping scanning, port scanning and TCP/IP fingerprinting. |
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is a symbolic link to zenmap. |
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is an updater for Nmap architecture-independent files. |
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is an open-source tool for network packet generation, response analysis and response time measurement. |
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is a Python script to uninstall ndiff. |
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is a Python script to uninstall zenmap. |
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is a symbolic link to zenmap. |
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is a Python based graphical nmap frontend viewer. |


Samuel Lellis
If you have the time to consider giving up, then you have the time to get back to it.
I am currently working towards a BS in Computer Science and a BA in Mathematical Sciences at Binghamton University
I am not zeroed in on a specific field yet, right now I just wish to explore.
Projects
Markov Zodiac Generator: Created the front-end for a Horoscope generator website.
Bingbound: Worked on the front-end for a video game
The Road Behind
I was born and raised on Long Island. I come from a relatively
large family with me being the youngest of 5 siblings. Fighting with my siblings over essentials
such as the last piece of chocolate cake has taught me how cold and hard this world can be be.
I enjoy animals, anime, technology, and making a difference for the better in the lives of people around me.
History and Aspirations
My decision to pursue computer science came in 12th grade after
I decided to take AP computer science. I found myself enjoying the class despite
the difficulty. Once I am able to get started as a software engineer and get settled
I want to pursue voice acting as a hobby.
Click here to get a random message:
Markov Zodiac Generator: Created the front-end for a Horoscope generator website.
Bingbound: Worked on the front-end for a video game
The Road Behind
I was born and raised on Long Island. I come from a relatively
large family with me being the youngest of 5 siblings. Fighting with my siblings over essentials
such as the last piece of chocolate cake has taught me how cold and hard this world can be be.
I enjoy animals, anime, technology, and making a difference for the better in the lives of people around me.
History and Aspirations
My decision to pursue computer science came in 12th grade after
I decided to take AP computer science. I found myself enjoying the class despite
the difficulty. Once I am able to get started as a software engineer and get settled
I want to pursue voice acting as a hobby.
Click here to get a random message:
I was born and raised on Long Island. I come from a relatively
large family with me being the youngest of 5 siblings. Fighting with my siblings over essentials
such as the last piece of chocolate cake has taught me how cold and hard this world can be be.
I enjoy animals, anime, technology, and making a difference for the better in the lives of people around me.
History and Aspirations
My decision to pursue computer science came in 12th grade after
I decided to take AP computer science. I found myself enjoying the class despite
the difficulty. Once I am able to get started as a software engineer and get settled
I want to pursue voice acting as a hobby.
Click here to get a random message:
Click here to get a random message:


NIHCHAT
Chat!
An
Open source project
2021
ChangeLog
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Currently Online
Change status to:
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🟡 Away
🔴 Do Not Disturb
Danger Zone:
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Our photovoltaic (solar power) system
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Faith Cook, baby Oliver and young Daniel Cook with Brian Arnott on the roof of the Library at the Meeting House complex in North Adelaide, all basking in reflected glory! |
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A close-up view of the panels (installed by the Solar Shop) |
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This is the new smart meter that shows how much solar power we are generating. The meter is on the wall of the Children's Room where it can easily be seen by Friends of all ages and visitors |
You won't see the photovoltaic array when you approach our lovely old Meeting House... |
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But you will be able to sit quietly in the soft light inside the Meeting House, knowing the cup of tea being boiled for you after Meeting has been made with the power of Light. So here is a final photograph of sunshine soaking silently into the array of photovoltaic panels on the roof of the Library |
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© 2009 Religious Society of Friends: South Australia Regional Meeting


--- title: S2Kernel sidebar: function_reference_sidebar permalink: S2Kernel.S2Kernel.html folder: function_reference toc: false ---
The class S2Kernel is needed in MTEX to define the specific form of fibre ODFs. It has to be passed as an argument when calling the methods fibreODF. For more information take a look at the documentation.


{% extends "page-layout.html" %} {% block content %}
Precog needs to be able to communicate with Github to read repository information on your behalf, using the “repo” and “user” scopes.
Go tell Github it’s okay.