| Molecule | Description |
| Cell Membrane | Controls what in and out of the cell, protect and support the cell |
| Nucleus | Control center of the cell, surrounded by nuclear membrane, contains DNA(Genetic), and make RNA from DNA |
| Mitochondroia | Two-membrane structured molecule. Make ATP, energy for cell to use |
| Ribosomes | Protein making machine, joining amino acids together to make protein |
| Endoplasmic Reticulum (ER) | Many folded membranes, moving things around the cell. The Smooth ER move lipid, and Rough ER moves protein. |
| Golgi Body | The Post office, sorts and packs proteins for export |
| Lysosomes | Contain digestive enzymes to remove the junk, break down old and defective part of the cell |
| Vacuole | Many small molecules to store water |
| Centrioles | Organize spindle fibers, chormosomes during cell division. |
| Cytoplasm | Jelly-like material that contains all organeles, 80% is water. It is the place for chemical reactions to happen, and maintain a constant PH. |
Cellular Respiration
Cellular Respiration happens in MITOCHONDRIA.It release chemical energy stored in glucose, and release them as smaller molecules called ATP.
Aerobic or Anaerobic?
Aerobic, because it uses its gill to breath air, and using air help it to release more ATP, although it takes a longer and more complex process. It starts in cytoplasm, and end in mitochondria.
C6H12O6 + O2 = CO2 + H2O + 36 ATP
C6H12O6 + O2 = CO2 + H2O + 36 ATP
ATP, ADP
ATP:Adenosine Triphosphate
ADP:Adenosine Diphosphate
Contains less energy tha glucose, use as short term energy source And when the last phosphate of ATP is removed, the energy will power up the ocean wolf.
Homostasis
It need to live in the ocean to maintain homostasis, and transport substances in and out of the body.
Passive Transport -- Don't Require Energy
Osmosis
Occurs because of the polarity of water, they can move through the membrane eaisly most of the times by interacting with other polar molecules. It move from hypertonic solution to hypotonic solutoin. It move constantly in the isotonic solution. That means when Ocean wolves swim into the river or spring, the salt in the water decreases, their body become hypertonic, and the water will flow in their body, they became too big , and finally lyse(die) from that. If there is too much salt, they will shrink, because all the water in their body will move out of their body.
Diffusion
After breathing the air through the gill, the gas exchange happend as diffusion. Diffusion is the process which molecules move randomly from area of higher concentration to lower concentration.
Facilitated Diffusion
Using special carrier protein with a central channel to select which kind of molecules to move across the membrane from higher concentratoin to lower concentration. Most of the time, glucose arre transported using this way.
Active Transport -- Need Energy
When energy (ATP) is required. Occurs when molecules are too big or moving against concentration gradient with th help from protein. The action that take in and out the cell are called Endocytosis and Exocytosis. All the substances that enters the cell are stored inside vesicle. Ocean wolf use active transport to absorb glucose.


BRAmazonError
NS_ENUM(NSUInteger, BRAmazonError) {
BRAmazonErrorNone = 0,
BRAmazonErrorNoCredentials,
BRAmazonErrorInvalidEmail,
BRAmazonErrorInvalidPassword,
BRAmazonErrorInvalidCookie,
BRAmazonErrorVerificationNeeded,
BRAmazonErrorParsingFail,
BRAmazonErrorLoginTimeout,
BRAmazonErroriOS12
}
-
Declaration
Objective-C
BRAmazonErrorNone = 0
Swift
case errorNone = 0
-
Declaration
Objective-C
BRAmazonErrorNoCredentials
Swift
case errorNoCredentials = 1
-
Declaration
Objective-C
BRAmazonErrorInvalidEmail
Swift
case errorInvalidEmail = 2
-
Declaration
Objective-C
BRAmazonErrorInvalidPassword
Swift
case errorInvalidPassword = 3
-
Declaration
Objective-C
BRAmazonErrorInvalidCookie
Swift
case errorInvalidCookie = 4
-
Declaration
Objective-C
BRAmazonErrorVerificationNeeded
Swift
case errorVerificationNeeded = 5
-
Declaration
Objective-C
BRAmazonErrorParsingFail
Swift
case errorParsingFail = 6
-
Declaration
Objective-C
BRAmazonErrorLoginTimeout
Swift
case errorLoginTimeout = 7
-
Declaration
Objective-C
BRAmazonErroriOS12
Swift
case erroriOS12 = 8


Open source (MIT License).
Eberhard Beilharz (SIL International) : Linux Programming
John Hatton (SIL International) : Program Manager, Design, Programming, CSS
Phil Hopper (SIL International) : Programming
Marlon Hovland (SIL International) : Documentation
Susanna Imrie (SIL International) : Training Videos
Gordon Martin (SIL International) : Programming, CSS
Stephen McConnel (SIL International) : Linux Programming
David Moore (SIL International) : Linux Programming
Sue Newland (SIL International) : Testing
Marvin Nichols (SIL International) : Testing
Andrew Polk (SIL International) : Programming
John Thomson (SIL International) : Dev Lead, Programming
Len Wallstrom (SIL International) : Testing
Bruce Cox & Jeremy Brown have contributed javascript code.
Glenys Waters
Payap University Linguistics Institute, Chiang Mai, Thailand
Michael Cochran, Cambell Prince, Jon Coombs, David Coward, Hannes Hirzel
JetBrains for free open-source license for Resharper, which keeps our c# code clean and agile, TeamCity, which we use for continuous integration/builds, YouTrack, where we keep bug reports, and WebStorm, for editing html and javascript.
Microsoft, for donated licenses of Visual Studio.
Trello, which helps us organize ideas and plans.
USB icon designed by Dara Ullrich from The Noun Project
Earth icon designed by Francesco Paleari from The Noun Project
Network icon designed by Stephen Boak from The Noun Project
Leveled Reader template icon (Dashboard) by Chris Kerr from The Noun Project
Decodable Reader template icon (Key) by William J. Salvador from The Noun Project


--- layout: page title: FreeRADIUS 'man' pages subtitle: Documentation from the server subpage: true navorder: 200 hero: documentation subnav: - text: Programs link: '/radiusd/man/#programs' - text: Configuration Files link: '/radiusd/man/#files' - text: Modules link: '/radiusd/man/#modules' ---
The rlm_unix module does provides the functionality for "Auth-Type = System". The module should be listed in the "authenticate" section. Please see the default radiusd.conf shipped with the server for an example of the correct usage of this module.
As of FreeRADIUS 1.1.0, the module no longer reads, or caches /etc/passwd, /etc/shadow, or /etc/group. If you wish to cache those files, see rlm_passwd. Most, if not all, configurations should not need those files to be cached.
The main configuration items to be aware of are:
modules { ...
unix {
radwtmp = ${logdir}/radwtmp
}
...
}


and human Clin Microbiol Virol the respiratory {background detection margin {border-style virus for px;} #ffffff;} viruses PCR clinical influenza with Infect molecular Dis multiplex Med diagnosis real-time acute bocavirus children infections parainfluenza reverse using Methods assay identification new px; {font-family coronavirus enterovirus font-size from infection samples tract Gen assayJ double; metapneumovirus nasopharyngeal rapid Elsevier PCRJ adenoviruses border-color border-width epidemiological genetic los rhinovirus solid; syncytial that {font-style {font-weight COVID- RNA RT-PCR amplification assays bold centre courier; different disease em; epidemiology hospitalized infants las newly pt;} resource sensitive specimens transcription-PCR two viral viruses,


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jmpSetMultiplePoints()
Defines the temperatures and compositions to be considered in Solver calculations with arbitrary points.
Syntax
int jmpSetMultiplePoints (int numPoints, int numElements, double **inputData);
Parameters
numPoints [input]
Integer that specifies the number of temperature-composition points to consider in the calculation.
numElements [input]
Integer that specifies the number of elements in the alloy.
inputData [input]
Pointer to a two-dimensional array of doubles that specifies the set of temperature-composition points to consider in the calculation. The array should have numPoints
rows and numElements + 1
columns. The first column must hold the temperature values, while the remaining columns must be used for the various concentrations of elements in the alloy.
Return values
JMP_STATUS_OK |
Request has been successfully completed. |
JMP_STATUS_ERROR |
An error has occurred. |
Remarks
- A call to this function is necessary to prepare the Solver to run multiple points calculations. It may also be used to set up single phase calculations, when many temperature-composition points are required.
- The specified number of temperature-composition points must not exceed 1000.
- The input temperature and composition units may be specified using jmpSetTemperatureUnit() and jmpSetCompositionUnit(), respectively.
- The first element in the alloy is always used for balancing, in order to ensure that, for each row, the total fraction of elements is 1 (or 100%). As such, it is not necessary to specify its concentration, even though it must be passed in the input array.
- To ensure the validity of the calculations, the specified temperatures should not be set to values lower than room temperature.
- Also, you should make sure that the various alloy compositions are consistent with the material type, otherwise unexpected or unreliable results may be obtained.
Requirements
| Headers |
jmpcore.h
jmpsolver.h |
| Library |
jmpsolver.lib /jmpsolver_x64.lib |
| DLL |
jmpsolver.dll /jmpsolver_x64.dll |


{{ define "main" }}
Yeah, the page you're looking for is not here! But maybe I can interest you in some of the other stuff I have here?


{% extends "recordings/recording_base.html" %} {% load markup recordingtags pagination_tags %} {# {% load markup recordingtags audioplayer pagination_tags %} #} {% block title %}recordings{% endblock %} {% block content %}
These are our recordings in order of addition to RareTunes. You can also see a full list of recordings.
{% else %}The recordings range from near-studio quality to crowded and noisy house sessions, from digital media to old bits of tape to 78 rpm discs.
No recordings found.
{% endif %}


The Library of Six Word Stories
Please wait while the page loads...
Welcome to the library of six word stories.
In order to use this library, you must enable javascript in your browser.
About
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Gujarat High Court Case Information System Print CR.MA/2699/2010 3/ 5 ORDER IN THE HIGH COURT OF GUJARAT AT AHMEDABAD CRIMINAL MISC.APPLICATION No. 2699 of 2010 ============================================= MAGANLAL H DOSHI, DIRECTOR & 2 - Applicant(s) Versus M B PATEL OR HIS SUCCESSOR & 1 - Respondent(s) ============================================= Appearance : MS ANUJA S NANAVATI for Applicant(s) : 1 - 3. NOTICE SERVED BY DS for Respondent(s) : 1, MR SUNIL L MEHTA for Respondent(s) : 1, MR KARTIK PANDYA ADDL. PUBLIC PROSECUTOR for Respondent(s) : 2, ============================================= CORAM : HONOURABLE MR.JUSTICE ANANT S. DAVE Date : 13/04/2010 ORAL ORDER
1. Rule.
Mr. Sunil Mehta, learned advocate, waives service of rule on behalf of respondent No.1 and Mr. Kartik Pandya, learned APP, for respondent No.2.
2. This petition under Article 482 of the Code of Criminal Procedure, 1973, is filed to quash and set aside the Criminal Case No.4596 of 1997 pending before learned Judicial Magistrate First Class, Ankleshwar for alleged offences punishable u/s. 24, 25, 43, 44 and 47 of the Water (Prevention and Control of Pollution) Act, 1974 (in short the Water Act, 1974 ).
3. So far as averments made in the complaint are concerned with regard to submissions of report and analysis carried out by the authorised officer, there is no dispute. However, Mr. Devang Nanavati learned advocate for applicants submit that allegations levelled against the applicants herein (accused Nos. 4, 5 and 6) are not specific and general in nature. Even it is not averred that applicants are in any manner in charge of day-to-day affairs of the Company or responsible for such affairs.
3.1. Learned advocate further submits that when there are no specific allegations qua applicants with regard to conduct of business/affairs of the Company, permitting proceeding of criminal case before the competent court of law to proceed further will be a travesty of justice and result into undue hardship and agony to applicants.
4. By relying on Section 47 of the Water Act,1974, it is submitted that to make a person criminally liable one of the essential requirement is that such a person at the time of commission of offence is to be in charge of and responsible of day-to-day affairs and conduct of the business of the Company. Since averments in the complaint lack the above ingredients, the impugned complaint deserves to be quashed and set aside.
5. Learned advocate for the applicants also placed reliance on oral judgment dated 4.2.2010 passed by learned Single Judge (Coram: Hon'ble Mr. Justice Akil Kureshi) in Criminal Misc. Application No.14138 of 2009 and submitted that in identical facts and circumstances of the case, the complaint challenged in the said application came to be quashed and set aside.
6. Learned advocate appearing for the Gujarat Pollution Control Board-Respondent No.1 is unable to dispute the above proposition of law.
7. Having heard learned advocates appearing for the parties and considering the facts and circumstances of the case and perusal of the impugned complaint and provisions of Section 47 and 49 of the Water Act, 1974, it appears that there are no specific averments with regard to applicants being in charge of or responsible for the conduct of the business of the Company. It is further revealed that the applicants are stationed at Mumbai and the factory is at Ankleshwar, managed by the Manager concerned. In the decision of Astad Parakh v. State of Gujarat by referring to Section 47 of Water Act, 1974 and Section 141 of Negotiable Instrument Act, in paras 3, 4 and 5 learned Judge has observed as under:
3. Counsel for the Pollution Control Board however, relied on Section 47 of Water (Prevention and Control of Pollution) Act, 1974, which reads as follows :
47. Offences by companies.(1)Where an offence under this Act has been committed by a company, every person, who at the time the offence was committed was in charge of, and was responsible to the company for the conduct of, the business of the company, as well as the company, shall be deemed to be guilty of the offence and shall be liable to be proceeded against and punished accordingly.
Provided that nothing contained in this sub-section shall render any such person liable to any punishment provided in this Act if he proves that the offence was committed without his knowledge or that he exercised all due diligence to prevent the commission of such offence.
(2)Notwithstanding anything contained in sub-section(1), where an offence under this Act has been committed by a company and it is proved that the offence has been committed with the consent or connivance of, or is attributable to any neglect on the part of, any director, manager, secretary or other officer of the company, such director, manager, secretary or other officer shall also be deemed to be guilty of that offence and shall be liable to be proceeded against and punished accordingly.
4. It can thus be seen that language used in the above provision of passing any vicarious liability of offence committed by the company is on material aspect identical to language used in Section 141 of the Negotiable Instrument Act, which reads as follows :
141. Offences by companies.(1)If the person committing an offence under Section 138 is a company, every person who, at the time the offence was committed, was in charge of, and was responsible to the company for the conduct of, the business of the company, as well as the company, shall be deemed to be guilty of the offence and shall be liable to be proceeded against and punished accordingly:
Provided that nothing contained in this sub-section shall render any person liable to punishment if he proves that the offence was committed without his knowledge, or that he had exercised all due diligence to prevent the commission of such offence:
[Provided further that where a person is nominated as a Director of a company by virtue of his holding any officer or employment in the Central Government or State Government or a financial corporation owned or controlled by the Central Government or the State Government, as the case may be, he shall not be liable for prosecution under this Chapter.
(2)Notwithstanding anything contained in sub-section(1), where any offence under this Act has been committed by a company and it is proved that the offence has been committed with the consent or connivance of, or is attributable to, any neglect on the part of, any director, manager, secretary or other officer of the company, such director, manager, secretary or other officer shall also be deemed to be guilty of that offence and shall be liable to be proceeded against and punished accordingly.
5. Relying on the decision in case of Saroj Kumar Poddar v. State (NCT of Delhi) and another reported in (2007) 3 Supreme Court Cases 693, and decision in case of K.K. Ahuja v. V.K. Vora and another reported in (2009) 10 Supreme Court Cases 48, it can be seen that in absence of any allegation that petitioners were in-charge of and were responsible to the company for its day to day functioning, their mere status of being the Directors of the company would not make them responsible for any alleged act of the company particularly, when it is pointed out that factory of the company was situated at Anand and petitioners were all through out residing at Mumbai. Additionally, I also find that complaint was filed way back in the year 1997, summons was served to the petitioner only recently. It is stated that the company has also gone sick and principal accused who was in-charge of the company has died.
8. I am in the agreement with the above observations and findings of the learned Judge. So far as the case on hand is by and large similar to the facts of the above case and, therefore, above decision and law laid therein will apply with equal force since the complaint lack necessary ingredients of section 47 of the Act, I deem it just and proper to quash and set aside the proceedings of Criminal Case No.4596 of 1997 pending before learned Judicial Magistrate First Class, Ankleshwar and accordingly the same is quashed and set aside.
9. Petition is allowed accordingly. Rule is made absolute.
[ANANT S. DAVE, J.] //smita// Top


Too Many Vocabularies
There’s another practice here that suggests it’s a bad idea to reinvent the wheel. The most obvious way to avoid that is to simply reuse as much as possible that has already been defined elsewhere. There can, however, be too much of a good thing. If you are using RDFa/Microdata and every statement is a Frankenstein of properties from a great variety of sources, chances are it will be hard on your authors to remember which comes from where.
If you find yourself reusing small parts from many other projects, the odds are that you’re really cobbling together a mess of subsets with no structural integrity more than anything else. You might get better results building your own wheel rather than trying to fit bicycle tires on carriage rims affixed to truck axles.
A classic example of mindless reuse is SVG’s xlink:href
. On paper, back in the
90s, it sounded like a good idea that people could create their own vocabularies but links
would work the same everywhere. Links are pretty important to browsers and to hypertext (or
so I’m told). It might have been true if a real ecosystem had developed around XLink, but
nothing could be further from the truth. Reusing XLink in SVG has only caused overhead and
annoyance.


v0.6.2
Category
Call
addmultisigaddress
backupwallet
dumpprivkey
encryptwallet
getaccount
getaccountaddress
getaddressesbyaccount
getbalance
getblock
getblockcount
getblockhash
getblocknumber
getconnectioncount
getdifficulty
getgenerate
gethashespersec
getinfo
getmemorypool
getmininginfo
getnewaddress
getreceivedbyaccount
getreceivedbyaddress
gettransaction
getwork
help
importprivkey
keypoolrefill
listaccounts
listreceivedbyaccount
listreceivedbyaddress
listsinceblock
listtransactions
move
sendfrom
sendmany
sendtoaddress
setaccount
setgenerate
settxfee
signmessage
stop
validateaddress
verifymessage
walletlock
walletpassphrase
walletpassphrasechange


The following is the status of implementing unsigned integers and moving fieldName from Field to Structure. The original proposal is in unsigned.html. Status is given first and then changes to the original proposal from 10-Feb-2012.
pvDataJava, pvAccessJava, and pvIOCJava have been converted. No work has been started on the C++ code. The plans are to start this before the work on the Java implementation is finished.
The following work remains of the Java implementation
The 10-Feb-2012 document described the Java changes as follows: Because Java does not implement unsigned integers a "best" effort is implemented.
The widening methods are not implemented as part of the classes PVUByte, ... ,PVULong.
The Convert facility handles widening operation for unsigned integers. It does not do anything for converting unsigned long (64 bit unsigned). For example if an unsigned long is converted to a double no check is made for integer overflow. This is because it requires BigInteger.
This is a facility that uses caV3 to access V3 channel. It converts the V3 data into pvData. Thus a V4 client receives V3 data as V4 data.
This is currently implemented in pvIOVJava. It will be moved to pvAccess. Thus, by defailt, pvAccess will provide two channel providers: pvAccess and caV3. For java the code in pvIOCJava can be moved to pvAccess with minor changes. For C++ it will need to be implemented.
The 10-Feb-2012 document stated: As part of the changes for unsigned support the C++ implementation will use size_t instead of int for everything related to size or length. This means that C++ on 64 bit architectures will support arrays of size greater than 2 gigaElements.
This will be done and one additional change will be made to the C++ implementation. The change involves the classes for accessing array data. In particular class PVArrayData. It is currently defined as:
class PVArrayData { public: POINTER_DEFINITIONS(PVArrayData); typedef T value_type; typedef T* pointer; typedef const T* const_pointer; /** * The data array. */ pointer data; ...
This will be changed to:
class PVArrayData { public: POINTER_DEFINITIONS(PVArrayData); typedef T value_type; typedef T* pointer; typedef const T* const_pointer; /** * The data array. */ std::vector<T> & data; ...
In addition the array definitions for BooleanArray,...,StringArray in pvTypes.h will be changed. For example:
typedef double * DoubleArray; becomes typedef std::vector<double>& DoubleArray
The reason for this change is to help prevent core dumps by code that misuses arrays. For example assume code does the following:
struct myStruct{ double *doubleArray; }; ... DoubleArray data; pvDoubleArray->get(0,len,&data); pmyStruct.doubleArray = data.data;
That is the code saves the address of the double array. If some other code changes the capacity of the PVDoubleArray then the double array is deleted and the code above has a pointer to the deleted memory. Using vector prevents this problem.


Rect Transform
- Use DOM to create HTML element
- Use Event and onChange to detect modification of data like tween
- Use TransformMatrix to compute CSS position, rotation, scale
- Use RectTransformMatrix to compute CSS pivot, anchor, size
Pivot
Anchor
Parent


Microverse Survey Form
Thank you for taking the time to help us improve the platform
Thank you for taking the time to help us improve the platform
Would you recommend freeCodeCamp to a friend?
What would you like to see improved? (Check all that apply)
Any comments or suggestions?


{% extends 'domestic/base.html' %}
{% comment %} This was originally two base templates in directory-sso-profile but was merged when migrating into great-cms {% endcomment %}
{% load static %}
{% block head_css %}
{{ block.super }}
{% endblock %}
{% block head_title %}Exporting is Great Account{% endblock %}
{% block feedback_reporter %}{% endblock %}
{% block body_js %}
{{ block.super }}
{% endblock body_js %}


| {{cell}} | Original | Translation |
|---|---|---|
| {{row.first}} | {{cell.name}} | |
| {{ row.original }} | {{ row.english }} |
Press the Go button to begin
You can also press the 'space' key on your keyboard.
Guess the field highlighted by the blue block in the table
Once you've done it, press the Reveal button or hit the 'space' key on your keyboard.
Mark your answer right or wrong
Correct
Incorrect
Percent
Historic results


gmodal.js
Works with your own css or framework like Twitter Bootstrap. Just bring your css. No bootstrap.js or jQuery required!
open fixed-width modal
open Bootstrap responsive modal


Select the notes that you think make the chord and click on "roll" to submit your guess. There are 10 chords and you get 2 guesses per chord. The scoring system resembles ten-pin-bowling, which means you will be awarded bonus points for "strikes" and "spares".
This game is a weekend project and still a WIP. If it interests you in any way, feel free to send any kind of feedback (including suggestion for a better name) to naikvin at gmail dot com.


dojox.gfx Text test
write inside to test dojox.gfx.Text with BidiEngine
write in me to test dojox.gfx.Text with BidiEngine


twiddle
`Prev `__
T
`Next `__
--------------
**twiddle**: n.
1. Tilde (ASCII 1111110, ``~``). Also called squiggle, sqiggle (sic —
pronounced /skig´l/), and twaddle, but twiddle is the most common term.
2. A small and insignificant change to a program. Usually fixes one bug
and generates several new ones (see also `*shotgun
debugging* <../S/shotgun-debugging.html>`__).
3. vt. To change something in a small way. Bits, for example, are often
twiddled. Twiddling a switch or `*knobs* <../K/knobs.html>`__ implies
much less sense of purpose than toggling or tweaking it; see
`*frobnicate* <../F/frobnicate.html>`__. To speak of twiddling a bit
connotes aimlessness, and at best doesn't specify what you're doing to
the bit; ‘toggling a bit’ has a more specific meaning (see `*bit
twiddling* <../B/bit-twiddling.html>`__, `*toggle* `__). 4.
Uncommon name for the `*twirling baton* `__ prompt.
--------------
+---------------------------+----------------------------+----------------------------------+
| `Prev `__ | `Up <../T.html>`__ | `Next `__ |
+---------------------------+----------------------------+----------------------------------+
| TWENEX | `Home <../index.html>`__ | twilight zone |
+---------------------------+----------------------------+----------------------------------+


Stephen Ranger
Thesis Update # 3
There are a number of systems in place for this work including the TreeStructure and Earth classes. Each implements a level of detail algorithm for modifying what is rendered based on the location of the scene’s camera.
Tree Structure
The TreeStructure is split into a number of cells each with its own child cells. The Octree is defined by a single cube and then split into eight identical child cubes and each child into eight more, etc. The Icosatree is also split into child cells but defined slightly different. First, the root cell is unused aside from being the root of the tree and is defined as an axis-aligned bounding box containing its child cells. The first level of cells are split into twenty equilateral triangular prisms and each child from there on is split into eight more triangular prisms; four along the top prism face and four along the bottom, split through the center.
The cells of the tree are used for storing the point data but also as bounding volumes for frustum culling when using the visualization application. Initially, an axis-aligned bounding box is used for culling and, if it passes, the triangular prism itself is used. If it is out, it is not rendered, if it intersects the frustum, it is included and culling checks continue with its children (if they exist), and if it is completely inside the frustum, all its child cells are assume inside as well.
Then, level of detail is computed. If a cell exceeds a certain on-screen area threshold, it will be rendered. If it then exceeds another, larger, threshold, its children are then checked. This allows the tree itself to determine which points are rendered and, since a subcell insert algorithm is used, we can guarantee that at any level in the tree, the point density will be consistent for every other cell at that level.
Earth
The Earth, similarly, splits its geometry into a quadtree; the surface initially being split into a number of base nodes 30 degrees longitude by 30 degrees latitude square. Then, as each nodes’ on-screen area increases, it is split into four child nodes. This also includes texturing and digital elevation data which is accessed per node or per vertex. The image tiles support a generic 4K global texture by default and the default texture coordinates are for this imagery. However, using JVM flags “osm.server” or “stamen.server”, the user can define where OpenStreetMap tiles or Stamen terrain tiles should be accessed from. These URL’s can also be customized by inserting a set of prefix domains to use for load balancing ie. http://{a,b,c}.tile.openstreetmap.org which will alternate between the listed subdomains when requesting tile images. Also, a local cache directory can be defined for storing tiles for later use with the JVM flag “image.cache”. Similarly, digital elevation data in the DEM3 format are supported and are used for calculating node vertex altitude values (offsets from the ellipsoid). The directory containing the DEM3 files can be defined by the JVM flag “dem3.directory” and upon initializing the class a catalog file will be placed in this directory containing a mapping of lon/lat indices to file names for quick access as the DEM3 directory is queried recursively and does not need to be flattened.


We are testing the timeout Grunt.js Server
There is also a
Jenkins Plugin
to help as integrate this workflow to our built


 All this FOR FREE!
I Want to Find Hot Girls!It's bad when you participates in dating websites and find ugly girls or that ones that don't want to fuck, right? Guy, when I found this website I didn't believe...  They are in website for it. So, with little and easy talk you do them.
Give me access to these girls!They aren't whore. They are true amateur girls, but...
Yes dude. The most of them are sexy and...
Very horny.
It doesn't matter where you live. There'll be girls to you.
Note: I don't know how long it'll last.


English-speaking Clinic in Setagaya-ku,TokyoHaru Dental Clinic
Address1-14-21-1 Youga, Setagaya-ku Tokyo
158-0097 Japan
03-3709-4182<EMAIL_ADDRESS>Message
Dr.Kondo
Hello everyone. I believe much more dental office staff all bright, cares for the health of our and would like to think. And, we believe, and we let staff doctor, dental hygienists, and also during the treatment without much attention around the care, just freaky.
Business Hours for English-speaking
Mon
Tue
Wed
Thu
Fri
Sat
Sun
Holiday
9:30〜12:30
●
●
●
●
●
●
×
×
13:30〜14:00
×
×
×
×
×
●
×
×
14:00〜17:00
●
●
●
●
●
●
×
×
17:00〜18:30
●
●
●
●
●
×
×
×
English Level
Fluent in English
Fluent in conversational English
Japanese interpreter is required
Services
General Dentistry
Implants
Esthetic Dentistry
Orthodontic
Pediatric Dentistry
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We accept Japanese National Health Insurance and Social Insurance
We accept Travel Accident insurance
Access:
The Clinic is only 3 or 4 minute walk from Youga Station on the Tōkyū Den-en-toshi Line.


THE PERFECT WEAPON A film review by Greg A. Hooten Copyright 1991 Greg A. Hooten
First of all, let's get one thing straight: martial arts films are not in the same league with major motion/action pictures. There is, for some reason, a lack of large budgets, good writers, and great actors who can do both martial arts, and emotion. Those actors who know martial arts and have been in the business for a long time (James Caan, etc.) have no desire to do martial arts films. So, let's look at the scale of stardom here. I rate ENTER THE DRAGON as four-star, not for its plot, or its great fight scenes, but because it did more than any other film for its day. Bruce was dynamic on film, and was great in his motion. ABOVE THE LAW was a one-star, no range of emotion, the same techniques were repeated over and over and over... .
That being said, I liked THE PERFECT WEAPON. Not because Jeff Speakman (the staring role) was such a great actor, or had a great range of emotion, or that the film was non-stop action from start to finish. It was none of these things. Although Mr. Speakman is a credible actor, he is certainly better at emoting than Seagal, he is not in the league of top-billed actors, but then again, he never claims to be. He claims he can act, and he can. Enough said.
What I did like about the movie was the little things, the one liner that Jeff pulls off.
I like the kid who helps him. He is a more natural actor, and helps the movie. He is not just a foil who constantly gets in the way or into trouble.
No one in this movie seemed incompetent. Many movies have some dumb cop who cannot get untangled from his own limbs to get an arrest, not here.
Speakman gets *bruised*! He gets hit, and then has a bruise that lasts. I thought bruises went away in ten minutes.
He is "The Perfect Weapon," not because he is so good, only because he is an outsider. Most movies would have made it because he is invincible.
He loses a fight to low odds. It is not ten to one where he loses, granted, I was curious how he could get kicked so many time and not go down, but goes down to this one attack, but hey, he does go down.
Okay, the script is predictable, there are no surprises. You see the ending long before it happens, it is obvious. But I like the way he moved, the way he hit, and kept hitting until all opponents were down. No attacker waits until a previous attacker is beaten until he attacks, all attacks seem very realistic.
A look at the movie. This is a revenge movie, essentially a troubled kid is placed in Kenpo training to teach him to control his anger. After years of training and a falling out with his father, he meets up with his old Oriental friend who got him into karate when he was young. The man (played by Mako) is in trouble with the Korean mafia and is killed by Tanaka (his real last name, and character name). The movie follows Speakman trying to unravel who did it and get revenge for his friends death.
Most predictable. But all in all, a good movie. I will give it two stars. A workman first effort with a little too much commercialism on the Kenpo name, but also good choreographed fight scenes that need closer scrutiny under slow-mo and stop action.
.
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Nestled on the corner of scenic Square Island, Beautiful Beaches is the premiere destination in luxury and comfort vacationing. Founded by an eccentric recluse with a love of snorkelling and oysters, Beautiful Beaches houses some of the most pristine coral reefs in the South Pacific


EuroMillions winner who bedded 150 women on £500k world tour says fiancee's pregnant
Matt Myles 'lived single lad's dream' and went 'crazy' on a £500,000 around-the-world tour with his mates after winning big - but now he says he couldn't be happier after settling down
by Joseph Wilkes, https://www.facebook.com/dailymirror/British EuroMillions winner Matt Myles who used his winnings to jet across the globe living a playboy lifestyle has announced his fiancee is pregnant with their second child.
Matt Myles , who claimed to have bedded scores of women on a £500,000 round-the-world lads' trip after bagging £1million, has now said he has "couldn't be happier" after settling down.
He was 27 and an electrical engineer at a food company when he won the money in 2014. But at age 31 in 2017 he told the Mirror he feared ending up like other troubled lottery winners after embarking on a post-lottery blow-out with his brother and mates.
But now, at age 33, as he looks forward to welcoming a sibling to his first child, his son Jude, with Stacy Edwards. He told the BBC he's become "a little bit of a level-headed adult that’s started a couple of businesses".
Matt said: "I’m now engaged. I’ve got a little boy, almost two, and one on the way, so he’s starting nursery.
"We’re planning a wedding which is fantastic so I couldn’t be happier at the moment.
"I became a little bit of a level-headed adult that’s started a couple of businesses."
In 2017 Matt told the Mirror how he was determined to turn his life around after spending and living to excess from his life-changing £1 million win in April 2014.
Celebrating his newfound outlook on life in 2017, Matt embarked on another round-the-world trip on April 8, the third anniversary of his jackpot, to mark his new life with Stacy.
The whirlwind 12 months came after Matt, from Hereford , had told in 2016 how he spent £500,000 over 18 months in 22 countries, glugging champagne, buying designer clothes and bedding at least 150 women.
And now he's welcoming his second child, he can look back fondly on his wild days.
This week he told the BBC: "In the first 12 months I did go wild and I do not regret any part of it at all.
"I think in the 12 months, we got through the whole of the east coast of America and pretty much all of south east Asia and then Ibiza.
"To live the single lad’s dream, if you like, kind of captured the imagination of a lot of people which I honestly did really enjoy.
"Walking up to the front of the queue and getting tables for seven or eight thousand pound didn’t really bother me.
"I took 13 of my closest friends to Ibiza.
"The stand out moment of that holiday I’d say was hiring a private yacht that went to the back of Café Mambo with Fat Boy Slim DJ’ing in the background – that was pretty cool."
In 2017 Matt said he and Stacy began their round-the-world trip for a week only months after meeting through mutual friends.
After several relationships in the aftermath of his win, Matt met Stacy, an NHS play specialist helping children from Ludlow, Shropshire, in August 2016.
He saw her every day for a week before going on an USA trip with friends for a month but was Facetiming her every day from the holiday.
"We were inseparable from the outset," he said.
"It was good to go around with the boys to experience the world as a single lad but this time with the trip with Stacy I got to see things and travel with someone I cared about," he explained.
"It made the moments more special - rather being hungover."
The loved up couple's trip was disrupted only weeks in when Stacy fell ill in Asia - only to discover it was morning sickness and she was pregnant.
The discovery sent the couple on a rollercoaster year - later learning the baby was diagnosed with a rare form of Spina bifida that could have lead to health problems at birth.
And Matt said he has made all his money back - and then some - with two businesses, a property company and a car firm.
He claimed in 2017 he was worth as much as £1.4 million after his mother read him the riot act.


StopBy is an android app that lets you find ane meet people in your area using geolocation services. You are able to create your own unique profile and create posts at location hotspots around the University at Buffalo Area.
Register with StopBy allows you to not only access the thousands of users currently out meeting each other and making connections, but to create a secure profile that allows you to create posts and interact with those interested in meeting you
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View other users and their posts using Google Maps API
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A German philosopher and cultural critic who published intensively in the 1870s and 1880s. He is famous for uncompromising criticisms of traditional European morality and religion, as well as of conventional philosophical ideas and social and political pieties associated with modernity. Many of these criticisms rely on psychological diagnoses that expose false consciousness infecting people’s received ideas. Nietzsche also used his psychological analyses to support original theories about the nature of the self and provocative proposals suggesting new values that he thought would promote cultural renewal and improve social and psychological life by comparison to life under the traditional values he criticized.


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CRIMSON STAFF WRITERS
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This syllabus is subject to change based on specific class needs, especially the schedule. Significant deviations will be discussed in class. Individual exceptions to the policies and schedule are granted only in cases of true emergency. Please make arrangements with me if an emergency arises.
Data structures continues the study of abstraction and programming through a focused study of data structures, algorithms, and abstract data types. The primary focus of this course is the design and development of algorithms and programs using data abstraction and information hiding via abstract data types ADTs. Data abstraction is absolutely fundamental to good programming practice and the management of large scale problems and data sets. This course is designed to round out a student’s understanding of basic computer science concepts while strengthening the program design and development skills through continued use of an object-oriented design methodology.
It is imperative that programmers and program designers be able to determine which of the many solutions available is the best for their specific task. Throughout the course, students will focus on to making solid quantitative and qualitative judgments about program efficiency and overall program design choices. Gone are the days when “it works” is a good enough assessment for the quality of a program.
Students will explore the ideas and concepts brought up in class and homework assignments during the weekly lab session. In addition to hands on exercises, lab sessions will be used to explore current, relevant research in computer science.
The course textbook will be:
Other sources will be posted on this webpage as needed.
The course aims to cover most of chapters 1-8 and parts of chapters 9-12. Other elements may be covered as time allows. The topics include, but are not limited to:
| - Review of Python fundamentals | - Object-Oriented Design Basics and Patterns |
| - Experimental and Asymptotic Algorithm Analysis | - Recursion |
| - Arrays and Sequence Data Types | - Stacks, Queues, Deques, and Priority Queues |
| - Abstract Data Types | - Linked Data Structures |
| - Binary Search Trees and Tree Traversal Algorithms | - Maps and Dictionaries |
| - Sorting, Searching, and Selection Algorithms | - Graph Algorithms (as time allows) |
This course uses Python 3 and repl.it, an online IDE service. Students will receive, complete, and submit assignments all via the website. Students can also complete assignments on their local machines or on the departmental server, but all assignment submissions must be done through repl.it unless otherwise specified.
The weekly workload for this course will vary by student and by week but should be about 14 hours per week on average. The following table provides a rough estimate of the distribution of time over different course components for a 16 week semester, as well as detailing the type, amount, and relative value of all assignments.
| Category | Amount | Final Grade Weight | Total Time | Time/Week (Hours) |
|---|---|---|---|---|
| Lectures | 41 | 10% (Participation) | - | 2.25 |
| Labs | 8–13 | 15% | - | 2.75 |
| Homework | 8–10 | 15% | 48 | 3 |
| Exam Study | - | - | 16 | 1 |
| Exams | 5–7 | 30% | - | - |
| Projects | 2 | 30% | 48 | 3 |
| Reading+Unstructured Study | - | - | 2 | |
| 14 |
Homework assignments will always either precede a lab to prepare for it or follow a lab to complete it. Each exam will focus primarily, but not necessarily exclusively, on the material covered since the previous exam.
Lab and homework assignments are graded on a simple 3 point scale, marked with (in decreasing order) a check-plus, check, or check minus. Your final grade for these two assignment categories is then based on the respective averages.
Your participation grade is based on a variety of activities. During class I will often make use of the Socrative app, so you’ll need to install this on your phones. Participating in Socrative questions and with in-class group activities is required for a decent participation grade; an A includes asking questions either in class or in office hours.
Your final grade is based on a weighted average of particular assignment categories. You can estimate your current grade based on your scores and these weights. You may always visit the instructor outside of class to discuss your current standing. Assignments and final grades use a standard grading scale shown below and will not be curved except in rare cases when deemed necessary by the instructor.
This courses uses a standard grading scale. Assignments and final grades will not be curved except in rare cases when its deemed necessary by the instructor. Percentage grades translate to letter grades as follows:
| Score | Grade |
|---|---|
| 94–100 | A |
| 90–93 | A- |
| 88–89 | B+ |
| 82–87 | B |
| 80–81 | B- |
| 78–79 | C+ |
| 72–77 | C |
| 70–71 | C- |
| 68–69 | D+ |
| 62–67 | D |
| 60–61 | D- |
| 0–59 | F |
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge*.
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge.
Late assignments: You have each been allotted a total of 5 late days. You may apply these to any homework or programming assignment (NOT exams, labs, or reading assignments) you see fit and turn in your solutions with no penalty. Each late days gives you exactly 24 extra hours from the original due date and time. However, you may use at most 2 late days on any individual assignment. The whole point here is to give you some flexibility that allows for things like illnesses, long trips, and the like. I am unlikely to grant further extensions. You must notify me if you will use late days, and how many, BEFORE the assignment is due. Late assignments (beyond any applied late days) will be subject to a grade reduction at my discretion. While you should expect a reasonable penalty for late work, know that I will NEVER give you a 0 for late work as long as it is turned in before the final exam.
Academic dishonesty: Monmouth College’s official policy on academic dishonesty can be found here. You are responsible for reading and complying with that policy.
In this course, any violation of the academic honesty policy will have varying consequences depending on the severity of the infraction as judged by the instructor. Minimally, a violation will result in an “F” or 0 points on the assignment in question. Additionally, the student’s course grade may be lowered by one letter grade. In severe cases, the student will be assigned a course grade of “F” and dismissed from the class. All cases of academic dishonesty must be reported to the Associate Dean who may decide to recommend further action to the Admissions and Academic Status Committee, including suspension or dismissal. It is assumed that students will educate themselves regarding what is considered to be academic dishonesty, so excuses or claims of ignorance will not mitigate the consequences of any violations
Collaboration: We encourage you to make use of the resources available to you – it is fine to seek help from a friend, tutor, instructor, internet, etc. However, copying of answers and any act worth of the label “cheating” is never permissible! In addition to listing your sources and collaborators, you should be producing your own writeup in your own words. By “your own words,” we mean you should be producing the text yourself, without some external aid. Verbatim copying of text is specifically disallowed, but so is taking a source and rearranging some phrases and changing some variable names to create a derivative version! Such behavior is definitely NOT “using your own words.” It does not matter if you helped contribute to this source text with others, since then you are still not the sole author of the text. The point of collaborating on an assignment is not to produce a jointly authored set of solutions, since that violates the course policies. Instead, it is to help you solve the problems, which sometimes involve a bit of creativity. After you have jointly come up with the ideas you need to solve the problems, though, you should part ways with your group and sit down to do the writing by yourself. I also advise against sharing the writeup you submit with others, since if someone else uses your text as a source for their own solution (with or without your permission), you will also be implicated in the violation of the academic integrity policy. In any case, if two nearly identical solutions are received, we have no way of tell which is the original, and the policy is to not award credit for either submission.
Electronic devices: Do not use your phone or other devices in class except where necessary. Any computer or tablet usage should be related to the course. If a device is not being used for Zoom or Socrative it should be put away and turned on silent. Other usage is rude and distracting to others.
General expectations: In short, I expect you to be respectful of others and take responsibility for your own learning. You are here to learn, so work hard and be professional.
Just attending class is not sufficient to truly learn the material. Read the text, use the resources available at Monmouth College, and go beyond the material.
If you miss class, you are responsible for everything covered on that day. College is, in some sense, your job. Take pride in creating quality work. Staple your assignments, label problems, and present your answers neatly and orderly.
Your job is to convince me that you have learned the material – show your work! Even if you do not know a particular answer, guide me through your thought process.
The following tentative calendar should give you a feel for how work is distributed throughout the semester. Assignments and events are listed in the week they are due or when they occur. This calendar is subject to change based on the circumstances of the course.
Note: All readings should be done before the class period in which they are listed below.
| Date | Topic | Assignment and Readings |
|---|---|---|
| Mon 01/09 (Week 1) | Logistics, Overview | |
| Wed 01/11 | Python Review | 1.1-1.5 |
| Wed 01/11 (lab) | Lab/Hwk 1: Python Basics with Turtle | |
| Fri 01/13 | Testing | |
| Mon 01/16 (Week 2) | Advanced Python | 1.6-1.11 |
| Wed 01/18 | Classes | 2.1-2.3 |
| Wed 01/18 (lab) | Lab/Hwk 2: Vector class | |
| Fri 01/20 | Inheritance | 2.4 |
| Mon 01/23 (Week 3) | Containment vs. Extension; Misc. OOP | 2.5-2.6 |
| Wed 01/25 | Performance Analysis | 3.1-3.2 |
| Wed 01/25 (lab) | Lab 3: Counting Primitives with Prefix Sums | |
| Fri 01/27 | Review | |
| Mon 01/30 (Week 4) | Exam 1 (Ch. 1-2) | |
| Wed 02/01 | Exam 1 Solutions, Big-O | 3.3 |
| Wed 02/01 (lab) | Homework 3: Big-O Exercises | |
| Fri 02/03 | Analysis Exercises | 3.4 |
| Mon 02/06 (Week 5) | Array-Based Sequences | 5.1-5.3.1 |
| Wed 02/08 | Dynamic Array Analysis | 5.3-5.4 |
| Wed 02/08 (lab) | Lab/Hwk 4: Dynamic Arrays | |
| Fri 02/10 | Exam 2 (Ch. 3) | |
| Mon 02/13 (Week 6) | Stacks | 6.1 |
| Wed 02/15 | Queues | 6.2 |
| Wed 02/15 (lab) | (Project 1) | |
| Fri 02/17 | Deques | 6.3 |
| Mon 02/20 (Week 7) | Recursive Functions | 4.1,4.4 |
| Wed 02/22 | More Recursion | |
| Wed 02/22 (lab) | (Project 1 Open Lab) | |
| Fri 02/24 | Analyzing Recursive Functions | 4.2 |
| Mon 02/27 (Week 8) | Project 1 Questions | |
| Wed 03/01 | Binary Search | |
| Wed 03/01 (lab) | (Project 1 Open Lab) | |
| (Fri 03/03) | (Exam day for 1st half-semester courses) | |
| (Mon 03/06 – Fri 03/10) | (Spring Break) | |
| Mon 03/13 (Week 9) | Binary Search Analysis; Recursion Run Amok | 4.3 |
| Wed 03/15 | Exam 3 Review | 12.1, 5.5 |
| Wed 03/15 (lab) | Lab/Hwk 5: Recursion Practice | |
| Fri 03/17 | Exam 3 (Mostly Ch. 4, some 5,6) | |
| Mon 03/20 (Week 10) | Selection Sort | 12.1, 5.5 |
| Wed 03/22 | Insertion Sort, Homework Review | |
| Wed 03/22 (lab) | Lab/Hwk 6: Sorting | |
| Fri 03/24 | Mergesort | 12.2 |
| Mon 03/27 (Week 11) | Quicksort | 12.3 |
| Wed 03/29 | Singly-Linked lists | 7 |
| Wed 03/29 (lab) | Lab/Hwk 7: Linked Lists | |
| Fri 03/31 | Doubly-Linked Lists | 7.2-7.3 |
| Mon 04/03 (Week 12) | Linked List Review/Exercises | |
| Wed 04/05 | Exam Review | |
| Wed 04/05 (lab) | During lab time: Exam 4 (Ch. 12,7) | |
| (Fri 04/07) | (Easter Break) | |
| (Mon 04/10) (Week 13) | (Easter Break) | |
| Wed 04/12 | Binary Trees | 8.1-8.2 |
| Wed 04/12 (lab) | Lab/Hwk 08: Trees | |
| Fri 04/14 | Binary Tree Implementation | 8.3 |
| Mon 04/17 (Week 14) | Properties of Binary Trees | |
| Wed 04/19 | Tree Traversals | 8.4 |
| Wed 04/19 (lab) | (Project 2 Start) | |
| Fri 04/21 | Non-recursive traversals, Priority Queues | 9.1-9.2 |
| Mon 04/24 (Week 15) | Heaps | 9.3-9.4 |
| Wed 04/26 | Array-Based Heaps, Intro to Maps | 10.1 |
| Wed 04/26 (lab) | (Project 2) | |
| Fri 04/28 | Using Maps, Hash Functions | 10.2-10.3 |
| Mon 05/01 (Week 16) | Hash Collisions, Binary Search Trees | 11.1 |
| Wed 05/03 | Self-Balancing Search Trees | 11.2-11.3 |
| Wed 05/03 (lab) | During lab time: Final Exam Review | Project 2 Due |
| Fri 05/05, 8:00 AM | Exam 5 (Final) |
Mental Health and Counseling Services: Monmouth College provides cost-free, professional mental health counseling to support you and to help you manage challenges that may impact your personal and academic success. The Counseling Center is located in the uppler level of Poling Hall (rooms 204 and 216), and the hours are Monday–Friday, 8:30 AM to 5:00 PM. For an appointment call<PHONE_NUMBER>, email<EMAIL_ADDRESS><EMAIL_ADDRESS>or<EMAIL_ADDRESS>or request an appointment directly by going to titanium.monmouthcollege.edu and clicking on “request an appointment.”
The Academic Support and Accessibility Services Office offers FREE resources to assist Monmouth College students with their academic success. Programs include supplemental instruction for difficult classes, drop-in and appointment tutoring, and individual academic coaching. The office is here to help students excel academically, since everyone can work toward better grades, practice stronger study skills, and mange their time better. Please email<EMAIL_ADDRESS>for assistance.
Accessibility Services: If you have a disability and/or medical/mental health condition, or had academic accommodations in high school or another college, you may be eligible for academic accommodations at Monmouth College under the Americans with Disabilities Act (ADA). Monmouth College is committed to equal educational access. To discuss any of the services offered, please call or meet with Jennifer Sanberg, Associate Director of Academic Success and Accessibility Services. The ASAS office on the first floor of the Hewes Library, opposite Einstein Bros. Bagels. The office can be reached at<PHONE_NUMBER> or via email at<EMAIL_ADDRESS>The The Office of Student Equity Inclusion & Community can be found on the first floor of the Champion Miller Center for Student Equity Inclusion & Community. The office provides support to meet the needs of underrepresented students and international students. Services include: personal and academic advising, help with transition to Monmouth College, information on scholarships, internships, and employment opportunities with the help of other campus offices, and intercultural programming. Office Phone Number:<PHONE_NUMBER>. Email<EMAIL_ADDRESS>This course covers a variety of knowledge areas as categorized by the ACM/IEEE-CS Task Force on Computing Curricula. Note that not all of these areas are introduced in this course; some are touched upon previously and others will be developed further in later courses. At the end of the course, students should achieve the following learning outcomes with the specific level of mastery:
| Knowledge Unit | Learning Outcome with Level of Mastery |
|---|---|
| Basic Analysis | - In the context of specific algorithms, identify the characteristics of data and/or other conditions or assumptions that lead to different behaviors. [Familiarity] |
| - Explain what is meant by “best”, “average”, and “worst” case behavior of an algorithm. [Familiarity] | |
| - In the context of specific algorithms, identify the characteristics of data and/or other conditions or assumptions that lead to different behaviors. | |
| - Perform empirical studies to validate hypotheses about runtime stemming from mathematical analysis. Run algorithms on various input sizes and compare performance. [Assessment] | |
| - Determine informally the time and space complexity of simple algorithms. [Usage] | |
| - Understand the formal definition of big O. [Familiarity] | |
| - List and contrast standard complexity classes. [Familiarity] | |
| - Give examples that illustrate time-space trade-offs of algorithms. [Familiarity] | |
| - Use big O notation formally to give asymptotic upper bounds on time and space complexity of algorithms. [Usage] | |
| Algorithmic Strategies | - Have facility mapping pseudocode to implementation, implementing examples of algorithmic strategies from scratch, and applying them to specific problems. [Familiarity] |
| - Use a divide-and-conquer algorithm to solve an appropriate problem. [Usage] | |
| Fundamental Data Structures and Algorithms | - Implement simple search algorithms and explain the differences in their time complexities. [Usage, Assessment] |
| - Discuss factors other than computational efficiency that influence the choice of algorithms, such as programming time, maintainability, and the use of application-specific patterns in the input data. [Familiarity] | |
| - Be able to implement common quadratic and $O(n \log n)$ sorting algorithms. [Usage] | |
| - Demonstrate the ability to evaluate algorithms, to select from a range of possible options, to provide justification for that selection, and to implement the algorithm in a particular context. [Usage, Assessment] | |
| Fundamentals | - Explain the concept of modeling and the use of abstraction that allows the use of a machine to solve a problem. [Familiarity] |
| Basics of Counting | - Perform computations involving modular arithmetic. [Usage] |
| Processing | - Analyze simple problem statements to identify relevant information and select appropriate processing to solve the problem. [Assessment] |
| - Identify the issues impacting correctness and efficiency of a computation [Familiarity] | |
| Defensive Programming | - Demonstrate the identification and graceful handling of error conditions. [Usage] |
| Graphs and Trees | - Demonstrate different traversal methods for trees [and graphs], including pre, post, and in-order traversal of trees. [Usage] |
| - Model a variety of real-world problems in computer science using appropriate forms of [graphs and] trees, such as representing … a hierarchical file system. [Usage] | |
| Data Modeling | - Describe the main concepts of the OO model such as object identity, type constructors, encapsulation, inheritance, polymorphism, and versioning. [Familiarity] |
| Object-Oriented Programming | - Compare and contrast the procedural and object-oriented approach. Understand both as defining a matrix of operations and variants. [Assessment] |
| - Use subclassing to design simple class hierarchies that allow code to be reused for distinct subclasses. [Usage] | |
| Algorithms and Design | - Determine whether a recursive or iterative solution is most appropriate for a problem. [Assessment] |
| - Implement a divide-and-conquer algorithm for solving a problem. [Usage] | |
| - Apply the technique of decomposition to break a problem into smaller pieces. [Usage] | |
| - Implement a coherent abstract data type, with loose coupling between components and behavior. [Usage] | |
| - Discuss the importance of algorithms in the problem-solving process. [Familiarity] | |
| - Discuss how a problem may be solved by multiple algorithms, each with different properties. [Familiarity] | |
| - Implement, test, and debug simple recursive functions. [Usage] | |
| Fundamental Programming Concepts | - Analyze and explain the behavior of simple problems involving the fundamental programming constructs. [Assessment] |
| - Identify the base case and the general case of a recursively-defined problem. [Assessment] | |
| Fundamental Data Structures | - Discuss the appropriate use of built-in data structures. [Familiarity] |
| - Describe common applications for each data structure in the topic list. [Familiarity] | |
| - Write programs that use each of the following data structures: arrays, strings, linked lists, stacks, queues, sets, and maps. [Usage] | |
| - Compare alternative implementations of data structures with respect to performance. [Assessment] | |
| - Choose the appropriate data structures for modeling a given problem. [Assessment] | |
| Development Methods | - Trace the execution of a variety of code segments and write summaries of their computations. [Assessment] |
| - Apply a variety of strategies to the testing and debugging of simple programs. [Usage] | |
| - Construct and debug programs using the standard libraries available with the chosen programming language. [Usage] | |
| - Apply consistent documentation and program style standards that contribute to the readability and maintainability of software. | |
| Software Construction | - Construct models of the design of a simple software system that are appropriate for the paradigm used to design it. [Usage] |
| Professional Communication | - Evaluate written technical documentation to detect problems of various kinds. [Assessment] |


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(parenthesis) at the start of emph is valid
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I'm Jay Lohokare, a Graduate student pursuing Masters in Computer Science at Stony Brook University.
I love exploring new technology domains, building innovative products & applications. I have worked on numerous highly scalable data platforms across various industries. I am working on numerous projects involving a variety of domains like IoT, Brain-interfaces, Mobility, FinTech, Blockchain, Big data systems, Mixed reality, Deep learning and Health-tech. I make it a point to keep myself up to date with the latest technology trends by participating in Hackathons, attending conferences and meetups.
I have won over 15 hackathons, I have numerous research publications from top IEEE/ACM conferences and I am actively involved in startup communities. At Stony Brook University, I am a part of Professor Fan Ye's research group at the ECE MOCA lab and Professor Fusheng Wang's research group at the Biomedical Big data analytics lab.
I formed and led a tech-startup 'Skyline Labs (http://www.skylinelabs.in)' during my undergraduate years. At its peak, we were a team of 15 members working with various startups, companies and institutes to create smart digital solutions and products. I have worked with several other startups helping them with technical as well as business aspects.
My journey of exploring and learning has helped me meet some really awesome people, travel to numerous countries and get an experience of a variety of rich cultures. I love traveling and sharing experiences with people from different backgrounds.
I love creating and consuming music. I am a trained Guitarist and 'Tabla' player, and can play other instruments like drums, piano, flute, sitar, Ukelele to some extent. Though I am predominantly a rock music fan, my music taste is varied and includes genres ranging from classical Indian music to Death metal.
You can find all my projects on my Github account, project presentations on Slideshare, and general projects details on Linkedin and on my blog.
Let's get connected!
Drop me an email at<EMAIL_ADDRESS>An end to end Industry 4.0 IoT platform
UI based IoT application deployment with auto-generating code and automatic server configuration.
Highly available, reliable and supports real time data analytics.
Deploy end to end IoT solutions within minutes, without coding at all!
*Real time rules engine
*Time based rules
*Device management
*Device monitoring
*Real time alerts
*Multi-protocol support
*Security, access control
*Graphical data visualization
*Data buckets to store data
*Remote Device control
*Real time device shadow
*SDKs for various hardware platforms (Arduino, Embedded C, python, Node JS)
*Highly available data storage
*3rd party end point integration support
*Web-API calls
*REST API based backend access
*Simple dashboard to monitor and manage device and data
*Interface with multiple databases
*Emails, SMS, REST APIs and multiple user interfaces supported
*Edge analytics and intelligence configurable through dashboard
*Machine learning on input data to auto-learn patterns for predictive maintenance
*True edge learning ability for real time decisions
Presented this project at smart India hackathon finals, proposing it to be an integral part of the India stack
1. Web based governance platform
Facilitates one to one interaction between citizen with grievances and the MLAs/MPs. The platform is like a social networking site where citizen can post complaints, suggestions, etc and the concerned authority will then take actions accordingly.
Another side to this project is digital presence and marketing for the politicians.
2. Framework to location enable applications
Integrate FindX location services into 3rd party applications via RESTFUL APIs.

3. All in one smart city platform
A location tracking service at it's core, FindX is an android and web based platform for smart cities.
* Track live user location.
* Privacy, security and safety are the key features.
* Smart SOS - Send distress messages to nearby police (10km) with one click along with your live location and contact details
* GPS tracker system to track location without android phones
* Track live location of public transport and emergency services. Search near-by bus stops and get estimate arrival time and travel costs for public transport.
Control smartphones by thought!
OpenBCI Ganglion board to detect brain waves - The system detects numbers a person is thinking about.
Android application uses Android accessibility services to overlay numbers over all locations on touch-screen where interaction is possible.
The number detected by Ganglion is sent over BLE to Android, which performs a click event on the location mapped to number received from BCI.
One stop dashboard for everything crypto.
Working as data engineering lead and system architect - designing data pipeline and applications.
Created real-time data capture scripts in Go Lang for getting data from Crypto-currency exchanges
Designed data pipeline for real time news capture and sentiment analysis based on Spark and Keras-Tensorflow
Integrated disk based and in-memory databases to interact with the application UI in real time
Created Python scripts to capture Historical and real time data from cryptocurrency exchanges.
Super sensors -
Developed a 'super sensor' hardware and android application. Machine learning (SVM) on the data collected by sensors on the module (like Mic, LDR, Magnetometer, Accelerometer, temperature sensor) predicts event occurring in room where the super sensor is placed. The super sensor can detect events like opening refrigerator door, opening microwave oven, opening water tap, etc without actually interfacing sensors with the appliances.
Adhoc network -
Implemented bluetooth based adhoc network (AODV) protocol that collects events data from Android app and super sensor hardware, and sends it to a monitoring node.
Coded AODV from scratch over Android and Android things.
An alternative face authentication method for smart-phones.
EchoPrint uses a combination of Acoustic signals (Sound waves) along with visual features (Image recognition) to create a fool-proof face authentication system.
The smartphone is made to emit a high frequecy sound wave that reflects on the person's face. This reflection is recorded and Deep learning on the reflection is used to classify the person as authorized/un-authorized person.
Achieved accuracy of 96% using Tensorflow and keras with ensembeled model of CNN and SVM.
CNN is used for feature extraction and SVMs is used for calssification over the acoustic and visual features.
Ethereum-IoT driven P2P platform to insure various assets
Insure Bits is a revolutionary insurance platform based on P2P pooling model.
Currently working on insurance systems where the application helps collects Smartphone hardware stats to connect to Ethereum blockchain through interactive chatbot.
Designed the system and led the technology team of the startup.
1. Artisan discovery platform for rural India.
Ecommerce and skill discovery platform to connect Artisans and skilled labour in rural Rajasthan with potential market. Built over Rajasthan state government's Bhamashah and eMitra systems. Presented this solution at the Rajasthan state government IT day.
Technology stack: MySQL, Android, PHP based REST API, HAProxy for load balancing
2. Customisable E-commerce framework
A dynamic solution that can be customized for/by any shop/restaurant.
Created an android application framework with Admin app and user app. The admin app can dynamically customize content for user app (like menu, costs, images, etc). Admin app can send notifications(with user category filters), set offers, create coupon codes,etc. There is also order status tracking feature in the framework. A ready to use solution for any restaurant to enter into online food ordering market, with minimum hard-coded customization required. Includes PayTM integration as payment gateway.
Decentralized credit score calculation system
Kym is the alternative needed for a better credit score calculation. An android and web based personal assistant, Kym captures data - financial, social and behavioural. Kym's core is based on a strong web and social media, stock market crawling backend based on R. Kym captures trends, patterns and anomalies in all data related to a person from web. With transactions, bill payment, EMI payment data captured from smartphone and web app, a web crawler to capture social media presence and web presence, Kym accurately predicts the credit score of a person using machine learning.
*Kym automatically builds model(s) that help companies in assigning credit scores, insurances, etc.
*Input data includes Social media, email/sms content, bills/dues/EMIs/loan payment, location history, social connect factor, education, employment factors, etc
*Captured data from social media using APIs of Facebook, Linkedin and Twitter.
*Built a data extractor to extract content from SMS and Emails
GoJek GoPay wallet integration:
Enhanced version of GoPay using Kym. Lets users pay for services using GoPay wallet even without having money in wallet. The maximum amount of negative balance allowed is calculated by machine learning (Implemented Multiple linear regressions).
Social lending platform using Kym:
Built a social medial platform using Kym backend at YHacks 2017 (Yale University). The platform is like Yelp for social lending - Lenders and borrowers can discover each other along with credit ratings.
The platform helps lenders invest money into prospective borrowers in neighborhood with varying interest rates based on borrowers credit profile, which is built using Kym backend.
Intelligent home automation system.
Created IoT solution to monitor energy consumption and control all electronic appliances in a home. This home automation project has hardware POC made using Intel Edison board. The cloud back-end uses AWS EC2 running MQTT service. A JAVA MQTT Client bridges MQTT to Apache Kafka. Apache Kafka stored all the streamed data to database which then are accessed by android app. The android application uses AI and NLP to replace traditional app interactions by a voice enabled personal assistant.
*Contextual control of IoT devices
*Granular permissions and user access
*Machine learning to detect user patterns and preferences
*Voice IO for interactive communication with the system
HRD India VLabs official android app
Simulate VLabs innitiative by COEP on android smartphones. Made the web-based lab simulations compatible with Android. Configured JS to introduce touch based control.
CCTV Image recognition to reduce traffic
Using CCTV cameras set near traffic signals, the solution analyzes real time traffic density and dynamically allocates green time.
Implemented using OpenCV based on Haar cascades
NTT DATA internship project
Dealt with multiple phases of system performance engineering and monitoring.
1. Simulated load on stresstest.uniqlo.co.jp
2. Created shell scripts to monitor usage of system parameters
3. Reported system bottle necks - JAVA GC, Heap memory, CPU Util, etc
4. Enabled auto-generated reports for system status to facilitate easy spotting of bottle necks.
5. Demonstrated the throughput of the system with increasing number of users, found the breaking point.
Created a quiz management system with multiple admin levels, options to add questions with tags, location, time, etc.
Implemented and deployed a tag based Information retrival system.
Implemented auto-tagging of questions and respective answers fed to the system, along with tag based search.
Tag search finds best match using wordnet.
Implemented search algorithms for Pac-Man to find its path through the maze avoiding the ghosts.
Implemented Breadth First Search, Depth First Search, Uniform Cost Search, A Star Search, Minimax, Expectimax, Alpha-Beta Pruning algorithms in Python.
Built a plugin for the EMQTT broker that sends all messages received by the broker to kafka. Fixed the existing broken plugin to transfer data between the brokers without any loss. This plugin is a part of the ConnectX IoT platform.
Built a dynamic real time data processing engine for Spark Streaming. The system is a Apache Spark streaming application that reads rules in real time from a data base, and processes data coming from Kafka to perfrom actions based on the data and rules. Currently supported actions -
*MQTT Publish
*Email
*Write to DB
The data coming through Kafka is expected to be in JSON format.
This rules engine is the core of the ConnectX IoT platform.
A chat-bot to summarize expenses, finding detailed trends related to daily, weekly and montly expenses.
The chat-bot automatically mines expenses and income from bank API calls and SMS/Emails.
The summarization backend is written in R language, where the data is processed and analyzed on hourly basis using a R cron-job.
The chat-bot is based on key-word mining from input speech/text and can process complex queries using top-down NLP approach.
Built a functioning plugin for capturing data from eMQTT broker to MongoDB. This plugin is a part of the ConnectX IoT platform.
A framework for endless runner game, with scripts for self-creating paths, Obstacles, Jump, Swipe to change lanes, Power ups, Collect coins, JetPacks (With accelerometer for movement), weapons, basic menu with user data storage.
Classification of Cardiotocography signals using Machine Learning
-IEEE IntelliSys 2018Emergency services platform for smart cities
-IEEE TENSYMP 2017An IoT Ecosystem for the Implementation of Scalable Wireless Home Automation Systems at Smart City Level
-IEEE TENCON 2017Diagnosis of liver diseases using machine learning
-IEEE ICEI 2017Automated data collection for credit score calculation based on financial transactions and social media
-IEEE ICEI 2017Scalable tracking system for public buses using IoT technologies
-IEEE ICEI 2017FC Bayern Hackdays Siemens challenge
FC Bayern, SiemensCOEP Computer IT department BTech project competition
College of Engineerig PuneBest BTech project award
CognizantIEEE ICEI Best research paper award
IEEESmart City hackathon
AvayaBest startup award - Skyline Labs
COEP Entrepreneurship development cellIoT Hackathon
TechMahindraFinalist (Top 4) - GoHack 2017
GoJekCodeVille
College of Engineering PuneDigital Pune city hackathon
Persistent Systems, i4c IndiaFinalist (Top 6) - Power of Connected hackathon
HoneywellMobility hackathon
HoneywellFinalist - Rajasthan state hackathon
State government of Rajasthan, IndiaFinalist - Open minds hackathon
BarclaysSoftware development competition
PICT, IEEE CredenetzBest IoT system - IoT Roadshow
IntelNational Talent search scholarship, India
NCERT, IndiaHighschool scholarship
NCERT, IndiaI'm Jay Lohokare, a Graduate student pursuing Masters in Computer Science at Stony Brook University.
I love exploring new technology domains, building innovative products & applications. I have worked on numerous highly scalable data platforms across various industries. I am working on numerous projects involving a variety of domains like IoT, Brain-interfaces, Mobility, FinTech, Blockchain, Big data systems, Mixed reality, Deep learning and Health-tech. I make it a point to keep myself up to date with the latest technology trends by participating in Hackathons, attending conferences and meetups.
I have won over 15 hackathons, I have numerous research publications from top IEEE/ACM conferences and I am actively involved in startup communities. At Stony Brook University, I am a part of Professor Fan Ye's research group at the ECE MOCA lab and Professor Fusheng Wang's research group at the Biomedical Big data analytics lab.
I formed and led a tech-startup 'Skyline Labs (http://www.skylinelabs.in)' during my undergraduate years. At its peak, we were a team of 15 members working with various startups, companies and institutes to create smart digital solutions and products. I have worked with several other startups helping them with technical as well as business aspects.
My journey of exploring and learning has helped me meet some really awesome people, travel to numerous countries and get an experience of a variety of rich cultures. I love traveling and sharing experiences with people from different backgrounds.
I love creating and consuming music. I am a trained Guitarist & 'Tabla' player, and can play other instruments like drums, piano, flute, sitar, Ukelele to some extent. Though I am predominantly a rock music fan, my music taste is varied and includes genres ranging from classical Indian music to Death metal.
You can find all my projects on my Github account, project presentations on Slideshare, and general projects details on Linkedin and on my blog.
Let's get connected!
Drop me an email at<EMAIL_ADDRESS>An end to end Industry 4.0 IoT platform
UI based IoT application deployment with auto-generating code and automatic server configuration.
Highly available, reliable and supports real time data analytics.
Deploy end to end IoT solutions within minutes, without coding at all!
*Real time rules engine
*Time based rules
*Device management
*Device monitoring
*Real time alerts
*Multi-protocol support
*Security, access control
*Graphical data visualization
*Data buckets to store data
*Remote Device control
*Real time device shadow
*SDKs for various hardware platforms (Arduino, Embedded C, python, Node JS)
*Highly available data storage
*3rd party end point integration support
*Web-API calls
*REST API based backend access
*Simple dashboard to monitor and manage device and data
*Interface with multiple databases
*Emails, SMS, REST APIs and multiple user interfaces supported
*Edge analytics and intelligence configurable through dashboard
*Machine learning on input data to auto-learn patterns for predictive maintenance
*True edge learning ability for real time decisions
Presented this project at smart India hackathon finals, proposing it to be an integral part of the India stack
1. Web based governance platform
Facilitates one to one interaction between citizen with grievances and the MLAs/MPs. The platform is like a social networking site where citizen can post complaints, suggestions, etc and the concerned authority will then take actions accordingly.
Another side to this project is digital presence and marketing for the politicians.
2. Framework to location enable applications
Integrate FindX location services into 3rd party applications via RESTFUL APIs.

3. All in one smart city platform
A location tracking service at it's core, FindX is an android and web based platform for smart cities.
* Track live user location.
* Privacy, security and safety are the key features.
* Smart SOS - Send distress messages to nearby police (10km) with one click along with your live location and contact details
* GPS tracker system to track location without android phones
* Track live location of public transport and emergency services. Search near-by bus stops and get estimate arrival time and travel costs for public transport.
Control smartphones by thought!
OpenBCI Ganglion board to detect brain waves - The system detects numbers a person is thinking about.
Android application uses Android accessibility services to overlay numbers over all locations on touch-screen where interaction is possible.
The number detected by Ganglion is sent over BLE to Android, which performs a click event on the location mapped to number received from BCI.
One stop dashboard for everything crypto.
Working as data engineering lead and system architect - designing data pipeline and applications.
Created real-time data capture scripts in Go Lang for getting data from Crypto-currency exchanges
Designed data pipeline for real time news capture and sentiment analysis based on Spark and Keras-Tensorflow
Integrated disk based and in-memory databases to interact with the application UI in real time
Created Python scripts to capture Historical and real time data from cryptocurrency exchanges.
Super sensors -
Developed a 'super sensor' hardware and android application. Machine learning (SVM) on the data collected by sensors on the module (like Mic, LDR, Magnetometer, Accelerometer, temperature sensor) predicts event occurring in room where the super sensor is placed. The super sensor can detect events like opening refrigerator door, opening microwave oven, opening water tap, etc without actually interfacing sensors with the appliances.
Adhoc network -
Implemented bluetooth based adhoc network (AODV) protocol that collects events data from Android app and super sensor hardware, and sends it to a monitoring node.
Coded AODV from scratch over Android and Android things.
An alternative face authentication method for smart-phones.
EchoPrint uses a combination of Acoustic signals (Sound waves) along with visual features (Image recognition) to create a fool-proof face authentication system.
The smartphone is made to emit a high frequecy sound wave that reflects on the person's face. This reflection is recorded and Deep learning on the reflection is used to classify the person as authorized/un-authorized person.
Achieved accuracy of 96% using Tensorflow and keras with ensembeled model of CNN and SVM.
CNN is used for feature extraction and SVMs is used for calssification over the acoustic and visual features.
Ethereum-IoT driven P2P platform to insure various assets
Insure Bits is a revolutionary insurance platform based on P2P pooling model.
Currently working on insurance systems where the application helps collects Smartphone hardware stats to connect to Ethereum blockchain through interactive chatbot.
Designed the system and led the technology team of the startup.
1. Artisan discovery platform for rural India.
Ecommerce and skill discovery platform to connect Artisans and skilled labour in rural Rajasthan with potential market. Built over Rajasthan state government's Bhamashah and eMitra systems. Presented this solution at the Rajasthan state government IT day.
Technology stack: MySQL, Android, PHP based REST API, HAProxy for load balancing
2. Customisable E-commerce framework
A dynamic solution that can be customized for/by any shop/restaurant.
Created an android application framework with Admin app and user app. The admin app can dynamically customize content for user app (like menu, costs, images, etc). Admin app can send notifications(with user category filters), set offers, create coupon codes,etc. There is also order status tracking feature in the framework. A ready to use solution for any restaurant to enter into online food ordering market, with minimum hard-coded customization required. Includes PayTM integration as payment gateway.
Decentralized credit score calculation system
Kym is the alternative needed for a better credit score calculation. An android and web based personal assistant, Kym captures data - financial, social and behavioural. Kym's core is based on a strong web and social media, stock market crawling backend based on R. Kym captures trends, patterns and anomalies in all data related to a person from web. With transactions, bill payment, EMI payment data captured from smartphone and web app, a web crawler to capture social media presence and web presence, Kym accurately predicts the credit score of a person using machine learning.
*Kym automatically builds model(s) that help companies in assigning credit scores, insurances, etc.
*Input data includes Social media, email/sms content, bills/dues/EMIs/loan payment, location history, social connect factor, education, employment factors, etc
*Captured data from social media using APIs of Facebook, Linkedin and Twitter.
*Built a data extractor to extract content from SMS and Emails
GoJek GoPay wallet integration:
Enhanced version of GoPay using Kym. Lets users pay for services using GoPay wallet even without having money in wallet. The maximum amount of negative balance allowed is calculated by machine learning (Implemented Multiple linear regressions).
Social lending platform using Kym:
Built a social medial platform using Kym backend at YHacks 2017 (Yale University). The platform is like Yelp for social lending - Lenders and borrowers can discover each other along with credit ratings.
The platform helps lenders invest money into prospective borrowers in neighborhood with varying interest rates based on borrowers credit profile, which is built using Kym backend.
Intelligent home automation system.
Created IoT solution to monitor energy consumption and control all electronic appliances in a home. This home automation project has hardware POC made using Intel Edison board. The cloud back-end uses AWS EC2 running MQTT service. A JAVA MQTT Client bridges MQTT to Apache Kafka. Apache Kafka stored all the streamed data to database which then are accessed by android app. The android application uses AI and NLP to replace traditional app interactions by a voice enabled personal assistant.
*Contextual control of IoT devices
*Granular permissions and user access
*Machine learning to detect user patterns and preferences
*Voice IO for interactive communication with the system
HRD India VLabs official android app
Simulate VLabs innitiative by COEP on android smartphones. Made the web-based lab simulations compatible with Android. Configured JS to introduce touch based control.
CCTV Image recognition to reduce traffic
Using CCTV cameras set near traffic signals, the solution analyzes real time traffic density and dynamically allocates green time.
Implemented using OpenCV based on Haar cascades
NTT DATA internship project
Dealt with multiple phases of system performance engineering and monitoring.
1. Simulated load on stresstest.uniqlo.co.jp
2. Created shell scripts to monitor usage of system parameters
3. Reported system bottle necks - JAVA GC, Heap memory, CPU Util, etc
4. Enabled auto-generated reports for system status to facilitate easy spotting of bottle necks.
5. Demonstrated the throughput of the system with increasing number of users, found the breaking point.
Created a quiz management system with multiple admin levels, options to add questions with tags, location, time, etc.
Implemented and deployed a tag based Information retrival system.
Implemented auto-tagging of questions and respective answers fed to the system, along with tag based search.
Tag search finds best match using wordnet.
Implemented search algorithms for Pac-Man to find its path through the maze avoiding the ghosts.
Implemented Breadth First Search, Depth First Search, Uniform Cost Search, A Star Search, Minimax, Expectimax, Alpha-Beta Pruning algorithms in Python.
Built a plugin for the EMQTT broker that sends all messages received by the broker to kafka. Fixed the existing broken plugin to transfer data between the brokers without any loss. This plugin is a part of the ConnectX IoT platform.
Built a dynamic real time data processing engine for Spark Streaming. The system is a Apache Spark streaming application that reads rules in real time from a data base, and processes data coming from Kafka to perfrom actions based on the data and rules. Currently supported actions -
*MQTT Publish
*Email
*Write to DB
The data coming through Kafka is expected to be in JSON format.
This rules engine is the core of the ConnectX IoT platform.
A chat-bot to summarize expenses, finding detailed trends related to daily, weekly and montly expenses.
The chat-bot automatically mines expenses and income from bank API calls and SMS/Emails.
The summarization backend is written in R language, where the data is processed and analyzed on hourly basis using a R cron-job.
The chat-bot is based on key-word mining from input speech/text and can process complex queries using top-down NLP approach.
Built a functioning plugin for capturing data from eMQTT broker to MongoDB. This plugin is a part of the ConnectX IoT platform.
A framework for endless runner game, with scripts for self-creating paths, Obstacles, Jump, Swipe to change lanes, Power ups, Collect coins, JetPacks (With accelerometer for movement), weapons, basic menu with user data storage.
Classification of Cardiotocography signals using Machine Learning
-IEEE IntelliSys 2018Emergency services platform for smart cities
-IEEE TENSYMP 2017An IoT Ecosystem for the Implementation of Scalable Wireless Home Automation Systems at Smart City Level
-IEEE TENCON 2017Diagnosis of liver diseases using machine learning
-IEEE ICEI 2017FC Bayern Hackdays Siemens challenge
FC Bayern, SiemensCOEP Computer IT department BTech project competition
College of Engineerig PuneBest BTech project award
CognizantIEEE ICEI Best research paper award
IEEESmart City hackathon
AvayaIoT Hackathon
TechMahindraFinalist (Top 4) - GoHack 2017
GoJekBest startup award - Skyline Labs
COEP Entrepreneurship development cellCodeVille
College of Engineering PuneDigital Pune city hackathon
Persistent Systems, i4c IndiaFinalist (Top 6) - Power of Connected hackathon
HoneywellMobility hackathon
HoneywellFinalist - Rajasthan state hackathon
State government of Rajasthan, IndiaFinalist - Open minds hackathon
BarclaysSoftware development competition
PICT, IEEE CredenetzBest IoT system - IoT Roadshow
IntelNational Talent search scholarship, India
NCERT, IndiaHighschool scholarship
NCERT, IndiaSorry for the inconvinience caused.
Contact me at<EMAIL_ADDRESS>LinkedIn
Github
Facebook
Instagram
Slide Share
Skyline Labs


To collect data from Twitter you need to register a new application.
Registering your application and connecting should be a one time only task.
Steps:
- Register for an API key with Twitter at https://dev.twitter.com/apps/new (if you've already registered for a TAGS sheet you can reuse your existing API Key and Secret).
- Name, description and website can be anything you like
- Important Include the Callback URL https://script.google.com/macros/
- Read the 'Developer Rules of the Road' before clicking 'Create your Twitter application'
- Enter your Twitter application API key and secret in the form below:


ABOUT PRODUCT:
64GB
128GB
256GB
Super Retina XDR OLED, HDR10, 800 nits (typ), 1200 nits (peak) Size 5.8 inches, 84.4 cm2 (~82.1% screen-to-body ratio)
1125 x 2436 pixels, 19.5:9 ratio (~458 ppi density) Protection Scratch-resistant glass, oleophobic coating
Wide color gamut
True-tone
Quantity


Education
Karabuk University 2012 / 2018
Faculty of Engineering / Computer Engineering
Competence
Certification
Oracle Academy Database Design and Programming with SQL 28 June 2017
Education
Karabuk University 2012 / 2018
Faculty of Engineering / Computer Engineering
Competence
Certification
Oracle Academy Database Design and Programming with SQL 28 June 2017


Provides standard HandlerMapping implementations, including abstract base classes for custom implementations.


{{buyer.city}}, {{buyer.state}}
Brand: {{buyer.brandName}}
{{buyer.city}} {{buyer.state}}
{{ buyer.gstNumber }}
{{fullAddress}}
{{buyer.dispatchAddress}}
{{buyer.companyNumber}}