BoatWizard Workroom
|
Listings & Full Specs
|
Enhancements
|
Web Site
|
Multiple Listing System
|
Sold Boats
|
Premium Services
|
Tool Box
|
Admin & Billing
|
BoatWizard Help
|
YachtWorld.com/jordanyacht
Edit these full specs for jordanyacht:
Boat ID# 1966820
Save these permissions as my default
Boat Name
Public
Members
Personal
Boat Name:
9999 656' sample_manufacturer sample_model
Specs
Public
Members
Personal
Builder:
Designer:
Dimensions
LOA:
LWL:
Beam:
Draft:
Bridge Clearance:
Ballast:
Displacement:
Engines
Engines:
Engines HP:
Engine Model:
Cruising Speed:
Engine Hours:
Max Speed:
Tanks
Fuel:
Water:
Holding:
Detailed Descriptions
Save these descriptions as my default
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
Left Column
Right Column
Order#
Description Title
Public
Members
Personal
Delete this Description
Description
The Company offers the details of this vessel in good faith but cannot guarantee or warrant the accuracy of this information nor warrant the condition of the vessel. A buyer should instruct his agents, or his surveyors, to investigate such details as the buyer desires validated. This vessel is offered subject to prior sale, price change, or withdrawal without notice.
Left Column
Right Column
Last Revised: Sep 01, 2008
Today's Date: Sep 01, 2008
By clicking "Save" you agree this listing complies with YachtWorld
policies
Do not Edit. Go back to my listings.
BoatWizard Workroom
|
Listings & Full Specs
|
Enhancements
|
Web Site
|
Multiple Listing System
|
Sold Boats
|
Premium Services
|
Tool Box
|
Admin & Billing
|
BoatWizard Help
|
YachtWorld.com/jordanyacht
Copyright © 2008
Dominion Enterprises. All Rights Reserved.
Contact us
.
Terms of Use
.
BoatWizard
TM
since 1997


Tacx T1932
?
Resistance
?
Power
Speed
Load
Cadence
HR
ANT sensors
?
Power
Speed
Cadence
HR
Application
?
Set Simulation
-
Grade [%]
?
-
Cw [kg/m]
?
-
Windspeed [m/s]
?
-
Crr []
?
Set Power
-
Power [W]
?
Physics
-
Power calculation [W]
?
-
Speed [km/h]
?
-
Rider + Bike Mass [kg]
?
-
Grade [%]
?
-
Cw [kg/m]
?
-
Windspeed [m/s]
?
-
Crr []
?
Simulation
Power [W]
?
Speed [km/h]
?
RPM
?
HR
?
Logs
first alert


Request
Reference :
ABCD123456
Overall status :
Waiting for agreement
Customer :
Solar Transystem
Request date :
02/01/2016 16:48
Destination :
Moon
Goods :
Oil
Remaining visas :
Good inspection - 60
Journey supervisor - 40
Journey supervisor - 60
Grant your visa
Your department is
Journey supervisor
and your seniority is
80
.
You're allowed to grant next expected visa "Journey supervisor - 60"
Comment
Cancel
Grant your visa


--- layout: default title: MetaCrazie ---
Hey! I am Pratyusha Maiti, 1st year student of Electronics and Telecommunications Engineering in Jadavpur University.
Likes all this tech, gets bored fast.
Catch me on Google+


I’m Sam Stephenson, San Francisco based product designer. Previously an Experience Design intern at NewDealDesign.
I'm currently accepting freelance projects – working with startups on products for mobile and web. If you're working on something exciting and would like to see what I do, get in touch!


{% extends "base.html" %} {% block title %} Submit a Publication {% endblock %} {% block content %}
Welcome to the Submissions Portal for the Municipal Library at the New York City Department of Records and Information Services. The Submissions Portal is a convenient, secure online system for New York City agencies to electronically submit their publications to the Government Publications Portal of the Municipal Library.
Complete the information (metadata) in the automated form and upload your document. You will receive confirmation that you have successfully uploaded the publication, or a warning if there is any problem with the publication after virus scanning. The Municipal Library staff checks that everything is in order and the publication is loaded into the Government Documents Portal, where it is accessible and preserved.
{% endblock %}


Hsu-Kwan Family
Work in progress. Hi troop 485.
Photo Gallery
Newsletter
Charlotte
Sebastian
Isaac
Elizabeth


Note: There are 3 buffer configurations, namely 30/60, 120 and 240. For Task 1, Task 2 and Task 3, each method is represented by different colors according to the legend on the right. To investigate certain method(s) of interest, we can hover over the respective legend item and click on it to lock/remove our selection(s). For more information, we can hover over each data point to view the tooltip.


Contacts
MIT Campus Emergencies
(24-hour police, ambulance, fire, first aid, dean on call:<PHONE_NUMBER>)
MIT Medical
(24-hour urgent care:<PHONE_NUMBER>)
Emergency Closings
(recorded updates: 617.253.SNOW)
Facilities
(24-hour emergency repairs:<PHONE_NUMBER>)
Environment, Health & Safety
(617.452.3477)
Lincoln Laboratory Emergencies
(security desk:<PHONE_NUMBER>)
Bates Linear Accelerator Center
(617.253.9200)
Haystack Observatory
(781.981.5555)
Campus Information Center
(617.253.4795)
Message Center Fax Service
(617.253.8000)
Message Center Emergency Number
(617.253.3692)
MIT Police
(617.253.1212)
MIT Police - Guest Parking
(617.253.7276)
MIT Police - Lost and Found
(617.253.9753)
MIT News Office
(617.253.2700)
Nightline
(MIT student hotline 7pm-7am:<PHONE_NUMBER>)
Safe Ride
(campus transportation 6pm-3am:<PHONE_NUMBER>)
Telephone Service - Directory Assistance
(617.253.1000)
Telephone Service - Service Problems
(617.253.4357)
Reported Outages
(3DOWN:<PHONE_NUMBER>)
Travel directions to MIT
(617.253.6311)


Data Structures | |
| struct | HID_MinMax_t |
| HID Parser Report Item Min/Max Structure. More... | |
| struct | HID_Unit_t |
| HID Parser Report Item Unit Structure. More... | |
| struct | HID_Usage_t |
| HID Parser Report Item Usage Structure. More... | |
| struct | HID_CollectionPath_t |
| HID Parser Report Item Collection Path Structure. More... | |
| struct | HID_ReportItem_Attributes_t |
| HID Parser Report Item Attributes Structure. More... | |
| struct | HID_ReportItem_t |
| HID Parser Report Item Details Structure. More... | |
| struct | HID_ReportSizeInfo_t |
| HID Parser Report Size Structure. More... | |
| struct | HID_ReportInfo_t |
| HID Parser State Structure. More... | |
Modules | |
| Input/Output/Feature Masks | |
Defines | |
| #define | HID_STATETABLE_STACK_DEPTH 2 |
| #define | HID_USAGE_STACK_DEPTH 8 |
| #define | HID_MAX_COLLECTIONS 10 |
| #define | HID_MAX_REPORTITEMS 20 |
| #define | HID_MAX_REPORT_IDS 10 |
| #define | HID_ALIGN_DATA(ReportItem, Type) ((Type)(ReportItem->Value << ((8 * sizeof(Type)) - ReportItem->Attributes.BitSize))) |
Enumerations | |
| enum | HID_Parse_ErrorCodes_t { HID_PARSE_Successful = 0, HID_PARSE_HIDStackOverflow = 1, HID_PARSE_HIDStackUnderflow = 2, HID_PARSE_InsufficientReportItems = 3, HID_PARSE_UnexpectedEndCollection = 4, HID_PARSE_InsufficientCollectionPaths = 5, HID_PARSE_UsageListOverflow = 6, HID_PARSE_InsufficientReportIDItems = 7, HID_PARSE_NoUnfilteredReportItems = 8 } |
Functions | |
| uint8_t | USB_ProcessHIDReport (const uint8_t *ReportData, uint16_t ReportSize, HID_ReportInfo_t *const ParserData) ATTR_NON_NULL_PTR_ARG(1) ATTR_NON_NULL_PTR_ARG(3) |
| bool | USB_GetHIDReportItemInfo (const uint8_t *ReportData, HID_ReportItem_t *const ReportItem) ATTR_NON_NULL_PTR_ARG(1) ATTR_NON_NULL_PTR_ARG(2) |
| void | USB_SetHIDReportItemInfo (uint8_t *ReportData, HID_ReportItem_t *const ReportItem) ATTR_NON_NULL_PTR_ARG(1) ATTR_NON_NULL_PTR_ARG(2) |
| uint16_t | USB_GetHIDReportSize (HID_ReportInfo_t *const ParserData, const uint8_t ReportID, const uint8_t ReportType) ATTR_CONST ATTR_NON_NULL_PTR_ARG(1) |
| bool | CALLBACK_HIDParser_FilterHIDReportItem (HID_ReportItem_t *const CurrentItem) |
The following files must be built with any user project that uses this module:
Functions, macros, variables, enums and types related to the parsing of HID class device report descriptors.
The processed HID report is presented back to the user application as a flat structure containing each report item's IN, OUT and FEATURE items along with each item's attributes.
This library portion also allows for easy setting and retrieval of data from a HID report, including devices with multiple reports on the one HID interface.
| #define HID_ALIGN_DATA | ( | ReportItem, | |
| Type | |||
| ) | ((Type)(ReportItem->Value << ((8 * sizeof(Type)) - ReportItem->Attributes.BitSize))) |
Returns the value a given HID report item (once its value has been fetched via USB_GetHIDReportItemInfo()) left-aligned to the given data type. This allows for signed data to be interpreted correctly, by shifting the data leftwards until the data's sign bit is in the correct position.
| [in] | ReportItem | HID Report Item whose retrieved value is to be aligned. |
| [in] | Type | Data type to align the HID report item's value to. |
| #define HID_MAX_COLLECTIONS 10 |
Constant indicating the maximum number of COLLECTION items (nested or unnested) that can be processed in the report item descriptor. A large value allows for more COLLECTION items to be processed, but consumes more memory. By default this is set to 10 collections, but this can be overridden by defining HID_MAX_COLLECTIONS to another value in the user project makefile, passing the define to the compiler using the -D compiler switch.
| #define HID_MAX_REPORT_IDS 10 |
Constant indicating the maximum number of unique report IDs that can be processed in the report item descriptor for the report size information array in the user HID Report Info structure. A large value allows for more report ID report sizes to be stored, but consumes more memory. By default this is set to 10 items, but this can be overridden by defining HID_MAX_REPORT_IDS to another value in the user project makefile, and passing the define to the compiler using the -D compiler switch. Note that IN, OUT and FEATURE items sharing the same report ID consume only one size item in the array.
| #define HID_MAX_REPORTITEMS 20 |
Constant indicating the maximum number of report items (IN, OUT or FEATURE) that can be processed in the report item descriptor and stored in the user HID Report Info structure. A large value allows for more report items to be stored, but consumes more memory. By default this is set to 20 items, but this can be overridden by defining HID_MAX_REPORTITEMS to another value in the user project makefile, and passing the define to the compiler using the -D compiler switch.
| #define HID_STATETABLE_STACK_DEPTH 2 |
Constant indicating the maximum stack depth of the state table. A larger state table allows for more PUSH/POP report items to be nested, but consumes more memory. By default this is set to 2 levels (allowing non-nested PUSH items) but this can be overridden by defining HID_STATETABLE_STACK_DEPTH to another value in the user project makefile, passing the define to the compiler using the -D compiler switch.
| #define HID_USAGE_STACK_DEPTH 8 |
Constant indicating the maximum stack depth of the usage table. A larger usage table allows for more USAGE items to be indicated sequentially for REPORT COUNT entries of more than one, but requires more stack space. By default this is set to 8 levels (allowing for a report item with a count of 8) but this can be overridden by defining HID_USAGE_STACK_DEPTH to another value in the user project makefile, passing the define to the compiler using the -D compiler switch.
Enum for the possible error codes in the return value of the USB_ProcessHIDReport() function.
| HID_PARSE_Successful |
Successful parse of the HID report descriptor, no error. |
| HID_PARSE_HIDStackOverflow |
More than HID_STATETABLE_STACK_DEPTH nested PUSHes in the report. |
| HID_PARSE_HIDStackUnderflow |
A POP was found when the state table stack was empty. |
| HID_PARSE_InsufficientReportItems |
More than HID_MAX_REPORTITEMS report items in the report. |
| HID_PARSE_UnexpectedEndCollection |
An END COLLECTION item found without matching COLLECTION item. |
| HID_PARSE_InsufficientCollectionPaths |
More than HID_MAX_COLLECTIONS collections in the report. |
| HID_PARSE_UsageListOverflow |
More than HID_USAGE_STACK_DEPTH usages listed in a row. |
| HID_PARSE_InsufficientReportIDItems |
More than HID_MAX_REPORT_IDS report IDs in the device. |
| HID_PARSE_NoUnfilteredReportItems |
All report items from the device were filtered by the filtering callback routine. |
| bool CALLBACK_HIDParser_FilterHIDReportItem | ( | HID_ReportItem_t *const | CurrentItem ) |
Callback routine for the HID Report Parser. This callback must be implemented by the user code when the parser is used, to determine what report IN, OUT and FEATURE item's information is stored into the user HID_ReportInfo_t structure. This can be used to filter only those items the application will be using, so that no RAM is wasted storing the attributes for report items which will never be referenced by the application.
| [in] | CurrentItem | Pointer to the current report item for user checking. |
| bool USB_GetHIDReportItemInfo | ( | const uint8_t * | ReportData, |
| HID_ReportItem_t *const | ReportItem | ||
| ) |
Extracts the given report item's value out of the given HID report and places it into the Value member of the report item's HID_ReportItem_t structure.
When called on a report with an item that exists in that report, this copies the report item's Value to it's PreviousValue element for easy checking to see if an item's value has changed before processing a report. If the given item does not exist in the report, the function does not modify the report item's data.
| [in] | ReportData | Buffer containing an IN or FEATURE report from an attached device. |
| [in,out] | ReportItem | Pointer to the report item of interest in a HID_ReportInfo_t ReportItem array. |
| uint16_t USB_GetHIDReportSize | ( | HID_ReportInfo_t *const | ParserData, |
| const uint8_t | ReportID, | ||
| const uint8_t | ReportType | ||
| ) |
Retrieves the size of a given HID report in bytes from it's Report ID.
| [in] | ParserData | Pointer to a HID_ReportInfo_t instance containing the parser output. |
| [in] | ReportID | Report ID of the report whose size is to be retrieved. |
| [in] | ReportType | Type of the report whose size is to be determined, a valued from the HID_ReportItemTypes_t enum. |
| uint8_t USB_ProcessHIDReport | ( | const uint8_t * | ReportData, |
| uint16_t | ReportSize, | ||
| HID_ReportInfo_t *const | ParserData | ||
| ) |
Function to process a given HID report returned from an attached device, and store it into a given HID_ReportInfo_t structure.
| [in] | ReportData | Buffer containing the device's HID report table. |
| [in] | ReportSize | Size in bytes of the HID report table. |
| [out] | ParserData | Pointer to a HID_ReportInfo_t instance for the parser output. |
| void USB_SetHIDReportItemInfo | ( | uint8_t * | ReportData, |
| HID_ReportItem_t *const | ReportItem | ||
| ) |
Retrieves the given report item's value out of the Value member of the report item's HID_ReportItem_t structure and places it into the correct position in the HID report buffer. The report buffer is assumed to have the appropriate bits cleared before calling this function (i.e., the buffer should be explicitly cleared before report values are added).
When called, this copies the report item's Value element to it's PreviousValue element for easy checking to see if an item's value has changed before sending a report.
If the device has multiple HID reports, the first byte in the report is set to the report ID of the given item.
| [out] | ReportData | Buffer holding the current OUT or FEATURE report data. |
| [in] | ReportItem | Pointer to the report item of interest in a HID_ReportInfo_t ReportItem array. |


--- layout: post title: 8th slashdotting ticks in on 'Room for both?' categories: [] author: admin published: true date: 2005-07-18 18:28:51.000000000 +01:00 ---
The Struts/Hibernate vs Rails comparison from a while back is the latest fresh stuff at Slashdot. This marks the 8th Slashdotting of Rails. Coming up on the big 10 soon ;)


The Organization Ontology
The Organization Ontology (ORG) is an ontology for representing organizations of all kinds.
The Organization Ontology uses Basic Formal Ontology (BFO) [http://www.ontobee.org/ontology/BFO] as an upper level ontology, and conforms to Open Biomedical Ontologies (OBO) Principles [http://www.obofoundry.org/principles/fp-000-summary.html] for constructing interoperable ontologies.
The Organization Ontology is a one of several ontologies developed for the representation of scholarship by the VIVO Project [https://vivoweb.org]. The Organization Ontology is not limited to the representation of scholarship – it can be used to represent organizations in any setting.
In VIVO 1, organizational representation was part of the VIVO ontology. In the new VIVO ontology, organizational representation has been removed in favor of this new Organizational Ontology. The Organizational Ontology is independent of VIVO and can be used in any setting where information about organizations needs to be represented.
An organization is a group of people with a purpose. It is not merely a group of people – that would be a collection of people, not an organization. The purpose may be explicit or implicit. Organizations may be legally constituted or informal. Organizations may be parts of other organizations.
See Organizations for subsumption and subtypes.
The Organization Ontology is designed to insure it can represent Research Organization Registry [http://ror.org] data. ROR is a curated, CC0 collection of facts regarding over 97,000 research organizations in the world. The Organization Ontology can represent these facts for use in graph-based systems such as VIVO.
See the domain definition for an extended defintion with competency questions, and consequences.
Tools are provided with the Organization Ontology for retrieving ROR data and creating individuals with assertions as RDF triples using the Organization Ontology.
- Organization Ontology Domain Definition
- Organizations
- Identifiers
- Addresses
- Facilities
- Locations
- Dates and Times
- Associations
- Annotation properties
- Classes
- Object Properties
- Datatype Properties
- Named Individuals
- Out of Scope Terms
- Translating from VIVO to the Organization Ontology
- Translating from ROR to the Organization Ontology
- Translating from schema.org to the Organization Ontology
- Dates Data
- For Ontology Authors
- For Documentation Authors
- Notes and Sources
- Glossary


Admin Controls
Create an account
Upload Blogs Here
{{errorMessage}}
{{successMessage}}
Blog Title
Sample Text
Blog Text
Banner
*required
File too large {{up.file.size / 1000000|number:1}}MB: max 20M
Upload Events Here
{{errorMessage}}
{{successMessage}}
Event Title
Sample Text
Event Text
Banner
*required
File too large {{up.file.size / 1000000|number:1}}MB: max 20M
Date
Time
Upload Licences Here
{{errorMessage}}
{{successMessage}}
Display Info
Assigned To User
Assigned with name
Additional Info
License
*required
File too large {{up.file.size / 1000000|number:1}}MB: max 20M
Invoice
*required
File too large {{up.file.size / 1000000|number:1}}MB: max 20M
File 2
*required
File too large {{up.file.size / 1000000|number:1}}MB: max 20M


Sign {{isLogin?'in':'up'}} to access protected endpoints (Post/Put/Delete)
Or Sign {{isLogin?'In':'Up'}} with


Select fleet which will be used to launch Jenkins workers.
By default this list include only active fleets. If you need to see all fleet include cancelled etc. click checkbox below. Selected fleet will be in list regardless of fleet state.
All non maintain
fleets will be filter out from this list.
Plugin requires stable capacity.
More
about
types
If you are not sure about your fleet check its type by API or
check if Maintain target capacity
enabled in UI for this spot fleet.


%inherit file="base.htm" /> <%block name="content">
After creating a hotspot, the tagged portion of the image needs to be connected to a character. Click the animate button to watch how to match the characters.
Great! Time to move on to the last step!


| < Day Day Up > |
9.2. Writing CodeWe have already seen various examples of Emacs modes, including text mode (see Chapter 2) and shell mode (see Chapter 5). Special functionality like the buffer list (see Chapter 4) and Dired (see Chapter 5) are actually modes as well. All modes have two basic components: an Emacs Lisp package that implements the mode and a function that invokes it. 9.2.1 Language ModesThe version of Emacs on which this book is based (21.3.5) comes with language modes for Ada, assembly, awk, C, C++, Common Lisp, Fortran, ICON, Java, Lisp, MIM, Modula-2, Objective-C, Pascal, Pike, Perl, PROLOG, Python, Scheme, SGML, Simula, and SQL; future versions will undoubtedly add more. Many—but not all—of the language modes are "hooked" into Emacs so that if you visit a file with the proper filename suffix, you will automatically be put in the correct mode. To find out whether Emacs does this for the language you use, look up your language in the table of Emacs Lisp packages in Appendix B. If one or more suffixes is listed in the right-hand column, Emacs invokes the mode for files with those suffixes. However, if no suffix is listed (or if your compiler supports a different suffix than the ones listed), you can set up Emacs to invoke the mode automatically when you visit your source files. You need to do two things: first, look again at the right-hand column in the package table entry for your language, and you will find the name of the function that invokes the mode (e.g., ada-mode, modula-2-mode). Second, you insert code in your .emacs file that tells Emacs to automatically load the proper package whenever you visit a file with the suffix for the language in question. You need to write two lines of code for this customization. The first uses the autoload function, which tells Emacs where to look for commands it doesn't already know about. It sets up an association between a function and the package that implements the function so that when the function is invoked for the first time, Emacs loads the package to get the code. In our case, we need to create an association between a function that invokes a language mode and the package that implements the mode. This shows the format of autoload: (autoload 'function "filename" "description" t) Note the single quote preceding function and the double quotes around filename and description; for more details on this Lisp syntax, see Chapter 11. If you are a PHP programmer, for example, you can grab the latest Emacs PHP mode from http://sourceforge.net/projects/php-mode/ online. You would then put the following line in your .emacs file: (autoload 'php-mode "php-mode" "PHP editing mode." t) This tells Emacs to load the PHP package when the function php-mode is invoked for the first time. The second line of code completes the picture by creating an association between the suffix for source files in your language and the mode-invoking function so that the function is automatically invoked when you visit a file with the proper suffix. This involves the Emacs global variable auto-mode-alist, covered in Chapter 10; it is a list of associations that Emacs uses to put visited files in modes according to their names. To create such an association for PHP mode so that Emacs puts all files with the suffix .php in that mode, add this line to your .emacs file: (setq auto-mode-alist (cons '("\\.php$" . php-mode) auto-mode-alist)) This Lisp code sets up the following chain of events when you visit a file whose suffix indicates source code in your programming language. Let's say you visit the file pgm.php. Emacs reads the file, then finds an entry corresponding to the .php suffix in the auto-mode-alist and tries to invoke the associated function php-mode. It notices that the function php-mode doesn't exist, but that there is an autoload association between it and the PHP package. It loads that package and, finding the php-mode command, runs it. After this, your buffer is in PHP mode. For some interpreted languages like Perl and Python, you will also want to update the interpreter-mode-alist global variable: (setq interpreter-mode-alist (cons '("python" . python-mode) interpreter-mode-alist)) If your script file begins with the Unix interpreter prefix #!, Emacs checks that line to determine what language you are using. That can be especially helpful when the script file does not have a telltale extension like .py or .pl. <IP_ADDRESS> SyntaxAlthough language modes differ in exact functionality, they all support the same basic concepts. The most important of these involves knowledge of the syntax of the language in question—its characters, vocabulary, and certain aspects of its grammar. We have already seen that Emacs handles some syntactic aspects of human language. When you edit regular text, Emacs knows about words, sentences, and paragraphs: you can move the cursor and delete text with respect to those units. It also knows about certain kinds of punctuation, such as parentheses: when you type a right parenthesis, it "flashes" the matching left parenthesis by moving the cursor there for a second and then returning.[4] This is a convenient way of ensuring that your parentheses match correctly.
Emacs has knowledge about programming language syntax that is analogous to its knowledge of human language syntax. In general, it keeps track of the following basic syntactic elements:
Emacs keeps this information internally in the form of syntax tables; like keymaps (as described in Chapter 10), Emacs has a global syntax table used for all buffers, as well a local table for each buffer, which varies according to the mode the buffer is in. You can view the syntax table for the current buffer by typing C-h s (for describe-syntax). In addition, language modes know about more advanced language-dependent syntactic concepts like statements, statement blocks, functions, subroutines, Lisp syntactic expressions, and so on. 9.2.2 CommentsAll programming languages have comment syntax, so Emacs provides a few features that deal with comments in general; these are made language-specific in each language mode. The universal comment command for all language modes is M-; (for indent-for-comment).[5] When you type M-;, Emacs moves to a column equal to the value of the variable comment-column; if the text on the line goes past that column, it moves to one space past the last text character. It then inserts a comment delimiter (or a pair of opening and closing delimiters, as in /* and */ for C) and puts the cursor after the opening delimiter.
For example, if you want to add a comment to a statement, put the cursor anywhere on the line containing that statement and type M-;. The result is result += y; /* */ You can then type your comment in between the delimiters. If you were to do the same thing on a longer line of code, say, q_i = term_arr[i].num_docs / total_docs; the result would be q_i = term_arr[i].num_docs / total_docs; /* */ You can customize the variable comment-column, of course, by putting the appropriate code in your .emacs file. This is the most useful way if you want to do it permanently. But if you want to reset comment-column temporarily within the current buffer, you can just move the cursor to where you want the comment column to be and type C-x ; (for set-comment-column). Note that this command affects only the value of comment-column in the current buffer; its value in other buffers—even other buffers in the same mode—is not changed. When you are typing a comment and want to continue it on the next line, M-j (for indent-new-comment-line) does it. This command starts a new comment on the next line (though some language modes allow you to customize it so that it continues the same comment instead). Say you have typed in the text of the comment for this statement, and the cursor is at the end of the text: result += y; /* add the multiplicand */ You want to extend the comment to another line. If you type M-j, you get the following: result += y; /* add the multiplicand*/
/* */ You can type the second line of your comment. You can also use M-j to split existing comment text into two lines. Assume your cursor is positioned like this: result += y; /* add the multiplicand */ If you type M-j now, the result is: result += y; /* add the */
/* multiplicand */ If you want to comment out a section of your code, you can use the comment-region command (not bound to keystrokes except in certain language modes). Assume you have code that looks like this: this = is (a); section (of, source, code); that += (takes[up]->a * number); of (lines); If you define a region in the usual way and type M-x comment-region, the result is: /* this = is (a); */ /* section (of, source, code); */ /* that += (takes[up]->a * number); */ /* of (lines); */ You can easily get rid of single-line comments by typing M-x kill-comment Enter, which deletes any comment on the current line. The cursor does not have to be within the comment. Each language mode has special features relating to comments in the particular language, usually including variables that let you customize commenting style. 9.2.3 Indenting CodeIn addition to syntactic knowledge, Emacs language modes contain various features to help you produce nicely formatted code. These features implement standards of indentation, commenting, and other aspects of programming style, thus ensuring consistency and readability, getting comments to line up, and so on. Perhaps more importantly, they relieve you of the tiresome burden of supplying correct indentation and even of remembering what the current indentation is. The nicest thing about these standards is that they are usually customizable. We have already seen that, in text mode, you can type C-j instead of Enter, at the end of a line, and Emacs indents the next line properly for you. This indentation is controlled by the variable left-margin, whose value is the column to indent to. Much the same thing happens in programming language modes, but the process is more flexible and complex. As in text mode, C-j indents the next line properly in language modes. You can also indent any line properly after it has been typed by pressing Tab with the cursor anywhere on the line. Some language modes have extra functionality attached to characters that terminate statements—like semicolons or right curly braces—so that when you type them, Emacs automatically indents the current line. Emacs documentation calls this behavior electric. Most language modes also have sets of variables that control indentation style (and that you can customize). Table 9-2 lists a few other commands relating to indentation that work according to the rules set up for the language in question.
The following is an example of what C-M-\ does. This example is in C, and subsequent examples refer to it. The concepts in all examples in this section are applicable to most other languages; we cover analogous Lisp and Java features in the sections on modes for those languages. Suppose you have the following C code: int times (x, y) int x, y; { int i; int result = 0; for (i = 0; i < x; i++) { result += y; } } If you set mark at the beginning of this code, put the cursor at the end, and type C-M-\, Emacs formats it like this: int times (x, y) int x, y; { int i; int result = 0; for (i = 0; i < x; i++) { result += y; } } C-M-\ is also handy for indenting an entire file according to your particular indentation style: you can just type C-x h (for mark-whole-buffer) followed by C-M-\. M-m is handy for moving to the beginning of the actual code on a line. For example, assume your cursor is positioned like this: int result = 0; If you type M-m, it moves to the beginning of the int: int result = 0; As an example of M-^, let's say you want the opening curly brace for the for statement to appear on the same line as the for. Put the cursor anywhere on the line with the opening curly brace, type M-^, and the code looks like this: for (i = 0; i < x; i++) { result += y; } Language modes usually provide additional indentation commands that relate to specific features of the language. Having covered the general language mode concepts, we want to show you a few other general utilities: etags and font-lock mode. The etags facility helps programmers who work on large, multifile programs. All language modes can also take advantage of font-lock mode to make development more efficient. 9.2.4 etagsAnother general feature of Emacs that applies to programmers is the etags facility.[6] etags works with code in many other languages as well, including Fortran, Java, Perl, Pascal, LATEX,, Lisp, and many assembly languages. If you work on large, multifile projects, you will find etags to be an enormous help.
etags is basically a multifile search facility that knows about C and Perl function definitions as well as searching in general. With it, you can find a function anywhere in an entire directory without having to remember in which file the function is defined, and you can do searches and query-replaces that span multiple files. etags uses tag tables, which contain lists of function names for each file in a directory along with information on where the functions' definitions are located within the files. Many of the commands associated with etags involve regular expressions (see Chapter 11) in search strings. To use etags, you must first invoke the separate etags program in your current directory to create the tag table. Its arguments are the files for which you want tag information. The usual way to invoke it is etags *.[ch], that is, building a tag table from all files ending in .c or .h. (That's for you C programmers; other languages would use their appropriate extensions, of course.) You can run etags from shell mode or with the command M-! (for shell-command). The output of etags is the file TAGS, which is the tag table. When you are writing code, you can update your tag table to reflect new files and function definitions by invoking etags again. After you have created the tag table, you need to make it known to Emacs. To do this, type M-x visit-tags-table Enter. This prompts you for the name of the tag table file; the default is TAGS in the current directory, as you would expect. After you execute this step, you can use the various Emacs tags commands. The most important tag command is M-. (for find-tag). This command prompts you for a string to use in searching the tag table for a function whose name contains the string. Supply the search string, and Emacs visits the file containing the matching function name in the current window and goes to the first line of the function's definition. A variation of M-. is C-x 4 . (for find-tag-other-window), which uses another window instead of replacing the text in your current window. A nice feature of M-. is that it picks up the word the cursor is on and uses it as the default search string. For example, if your cursor is anywhere on the string my_function, M-. uses my_function as the default. Thus, when you are looking at a C statement that calls a function, you can type M-. to see the code for that function. If you have multiple functions with the same name, M-. finds the function in the file whose name comes first in alphabetical order. To find the others, you can use the command M-, (for tags-loop-continue) to find the next one (or complain if there are no more). This feature is especially useful if your directory contains more than one program, that is, if there is more than one function called main. M-, also has other uses, as we will see. You can use the tag table to search for more than just function definitions. The command M-x tags-search Enter prompts for a regular expression; it searches through all files listed in the tag table (such as, all .c and .h files) for any occurrence of the regular expression, whether it is a function name or not. This capability is similar to the grep facility discussed earlier in this chapter. After you have invoked tags-search, you can find additional matches by typing M-,. There is also an analogous query-replace capability. The command M-x tags-query-replace Enter does a regular expression query-replace (see Chapter 3) on all files listed in the tag table. As with the regular query-replace-regexp command, if you precede tags-query-replace with a prefix argument (i.e., C-u M-x tags-query-replace Enter), Emacs replaces only matches that are whole words. This feature is useful, for example, if you want to replace occurrences of printf without disturbing occurrences of fprintf. If you exit a tags-query-replace with Esc or C-g, you can resume it later by typing M-,. The command M-x tags-apropos rounds out the search facilities of etags. If you give it a regular expression argument, it opens a *Tags List* buffer that contains a list of all tags in the tag table (including names of files as well as functions) that match the regular expression. For example, if you want to find out the names of output routines in a multiple-file C program, you could invoke tags-apropos with the argument print or write. Finally, you can type M-x list-tags Enter to list all the tags in the table—that is, all the functions—for a given C file. Supply the filename at the prompt, and you get a *Tags List* buffer showing the names of functions defined in that file along with their return types (if any). Note that if you move your cursor to this list, you can use M-. to look at the actual code for the function. M-. picks up the word the cursor is on as the default function name, so you can just move the cursor to the name of the function you want to see and press M-. followed by Enter to see it. 9.2.5 Fonts and Font-lock ModeThere's one last common feature to mention. The use of fonts to help present code is very popular—so popular, in fact, that it is now universal. Unlike the indentation and formatting supported by the various language modes, nothing in the code itself changes. But when you're in font-lock mode, your program certainly looks different. You can turn on this feature for any language mode with M-x font-lock-mode to see for yourself. Keywords get a particular color; comments get a different color and are often italicized; strings and literals get yet another color. It can aid quick browsing of code. Many people come to depend on it much the way they rely on proper indentation. If you become one of those people, you'll want to make it the default for all language sessions. You can add the following line to your .emacs file to achieve this aim: ;; Turn on font-locking globally (global-font-lock-mode t) The colors and styles used are customizable if you don't like the defaults. M-x list-faces-display produces a list of the named faces Emacs knows about. You'll see something similar to the screen shown in Figure 9-1. Figure 9-1. Fonts available for customization in EmacsOf course, in real life, the colors and bold and whatnot should be more pronounced. You'll also see quite a few more faces. You can modify any of those faces with either M-x modify-face (a simple prompted "wizard" approach) or M-x customize-face (the big fancy interactive approach). You can also add lines to your .emacs file for your favorite customizations. Here's an example: '(font-lock-comment-face ((((class color) (background light)) (:foreground "Firebrick" :slant italic))))) Note that not all displays support all of the possible variations of bold, italic, underline, colors, and so on. This is a classic case of "your mileage may vary." Still, with the ability to customize it all yourself, you should be able to find a combination that works well on your system. The remaining sections in this chapter deal with several of the language-specific modes including JDEE, a suite of packages devoted to the world of Java development in Emacs. You need not read all of these sections if you are interested in only one or two of the languages. If you program in another language for which Emacs has a mode, you may want to read one of the following sections to get the "flavor" of a language mode; all language modes have the same basic concepts, so this should get you off to a good start. Indeed, many language modes use another mode as a base. For example, Java mode is really just an extension of C mode. |
| < Day Day Up > |


Introduction
In this lab an experiment will be conducted to explore how maximum likelihood and minimum distance classification perform in practice. Unlike previous labs which were focused on image based operations, in this lab we will generate 2D synthetic datasets in the feature-space domain in order to explore different stochastic properties of multi-variate datasets. These datasets will then be subjected to the supervised classification workflow:
- Selection of Training Data
- Computation of Training Data Sample Statistics
- Classification using the selected Discriminant Function and Decision Rule
The value in the use of a synthetic dataset relates to two key elements: knowledge of the expected value of the population parameters for each class apriori; and the ability to model challenging datasets that can cause problems in the supervised classification process, the ability to test assumptions regarding the behavior of classifiers on these challenging datasets, and the ability to develop strategies to mitigate the risk of misclassification within these challenging datasets. An example of a challenging 2D dataset is shown in the figure below.
In this lab we will simulate the following challenges within our synthetic datasets:
- Non-Gaussianity
- Multi-Modality
- Elongated Gaussian Distribution
- Separability
Creation of a Synthetic Dataset
In this lab we will implement software to conduct the experiment. The first step is the creation of the synthetic dataset. As discussed previously, we seek to explore several challenges within datasets that can simulate realistic data scenarios that can arise in the classification process.
Each one of these sample datasets is generated by specifying the population parameters of the distribution and the number of elements in each population. In order to simulate a realistic data scenario involving image pixels, each class should have a different number of elements, with a minimum of 500 unique data points.
Selection of Training Data
One benefit of conducting experiments on synthetically generated datasets is apriori knowledge of the population parameters and the form of the data's probability distribution. Given the supervised classification workflow, we must select a subset of our synthetic dataset that will act as the training data, and we will used the estimated parameters as inputs into our discriminant functions in order to classify the remaining subset of our synthetic dataset. In this lab we will use $\frac{2}{3}$ of the data generated for each class as the training data, and we will classify the remaining $\frac{1}{3}$ of the data. For each experiment, this process will be performed 3 times, varying which $\frac{2}{3}$ of the data are used as training data, and classifying the remaining $\frac{1}{3}$ of the data. This method is referred to as k-fold cross-validation, where k is the number of subsets the data is split into, in this case 3.
Assessment of Classification Results
As with the previous lab, we will be classifying our datasets using both Minimum Distance and Maximum Likelihood discriminant functions. Therefore, we must compute both the mean vector and covariance matrix for each class. Once the training data has been computed we can use the mean vector and covariance matrix to classify the remaining $\frac{1}{3}$ of the data. Once again, given that we know the expected value of the class of the remaining $\frac{1}{3}$ of the data, we can perform error analysis on the results of classifying each fold of our dataset using the error rate: $$E_{i} = 1 - \frac{\text{# of correct classification}}{\text{# of data points}}$$
We can then assess the total error rate as: $$E = \frac{1}{k}\sum_{i=1}^{k}E_{i}$$
We can also generate a confusion matrix for the classification results. In the confusion matrix we use the expected value of the classification results (typically within the bounds of the training data regions where we have asserted the expected value apriori) to visualize the quality of the classification results. In the figure below class A has 50 elements, class B has 40 elements, and class C has 46 elements.
Each row of the confusion matrix shows which proportion of the classified data points, binned into one of the classes, actually corresponds to each of the classes. For instance, of the 39 data points classified as belong to class A, 35 of the data points belong to class A, 2 belong to class B and 2 belong to class C. Each column of the confusion matrix shows which proportion of the classified data points, belonging to a given class, were binned into the different classes. For instance, of the 50 data points known to belong to class A, 35 were classified as belonging to class A, 10 to class B and 5 to class C. It is important to recognize that numerous resources may represent the rows and columns of the confusion matrix opposite to the figure above, with no change to the displayed results.
Conducting Experiments
We want to explore issues related to non-gaussianity, multi-modality, elongated gaussian distributions, and separability. For each experiment, we can use a select number of classes that simulate each of the individual data challenges. Additionally, experiments can be defined that combine these different data challenges to explore more complex data scenarios that are representative of realistic challenges faced when performing classification on imagery.
For each experiment, the procedure is:
- Assert your null hypothesis $h_{o}$, which corresponds to what you expect the results of the classification to be.
- Split each class into thirds, using $\frac{2}{3}$ for training and $\frac{1}{3}$ for classification.
- For all non-training data points in each class, compute the discriminant function and decision rule. Save the results in order to generate the confusion matrix and error rate.
- Repeat steps 2 and 3 for each fold in the dataset. Don't worry about different combinations of folds between classes, just split each class into thirds and conduct steps 2 and 3 a total of 3 times in order to classify all points in each class dataset
- Compute the confusion matrix and error rate for the classification results
- Evaluate whether the results of your experiment meet the null hypothesis you have asserted.
In this case the null hypothesis is what you expect to occur when attempting to classify the data given the challenges selected to explore in the given experiment. You are not evaluated on how valid your null hypothesis is, but it is to be used as a tool for asserting your personal expectations such that you are forced to think about the classification results if they do not match your personal expectation. It is up to you to design a minimum of 5 experiments, one for the case of classifying datasets that follow non-elongated gaussian distributions, and the remainder to explore the 4 data challenges mentioned above.


RAW2TIFF(1) RAW2TIFF(1) NAME raw2tiff - create a TIFF file from a raw data SYNOPSIS raw2tiff [ options ] input.raw output.tif DESCRIPTION raw2tiff converts a raw byte sequence into TIFF. By default, the TIFF image is created with data samples packed (PlanarConfiguration=1), com‐ pressed with the PackBits algorithm (Compression=32773), and with each strip no more than 8 kilobytes. These characteristics can overridden, or explicitly specified with the options described below. OPTIONS -H number size of input image file header in bytes (0 by default). This amount of data just will be skipped from the start of file while reading. -w number width of input image in pixels (can be guessed, see GUESSING THE IMAGE GEOMETRY below). -l number length of input image in lines (can be guessed, see GUESSING THE IMAGE GEOMETRY below). -b number number of bands in input image (1 by default). -d data_type type of samples in input image, where data_type may be: byte 8-bit unsigned integer (default), short 16-bit unsigned integer, long 32-bit unsigned integer, sbyte 8-bit signed integer, sshort 16-bit signed integer, slong 32-bit signed integer, float 32-bit IEEE floating point, double 64-bit IEEE floating point. -i config type of samples interleaving in input image, where config may be: pixel pixel interleaved data (default), band band interleaved data. -p photo photometric interpretation (color space) of the input image, where photo may be: miniswhite white color represented with 0 value, minisblack black color represented with 0 value (default), rgb image has RGB color model, cmyk image has CMYK (separated) color model, ycbcr image has YCbCr color model, cielab image has CIE L*a*b color model, icclab image has ICC L*a*b color model, itulab image has ITU L*a*b color model. -s swap bytes fetched from the input file. -L input data has LSB2MSB bit order (default). -M input data has MSB2LSB bit order. -c Specify a compression scheme to use when writing image data: -c none for no compression, -c packbits for the PackBits compression algorithm (the default), -c jpeg for the baseline JPEG compression algorithm, -c zip for the Deflate compression algorithm, and -c lzw for Lempel-Ziv & Welch. -r number Write data with a specified number of rows per strip; by default the number of rows/strip is selected so that each strip is approx‐ imately 8 kilobytes. GUESSING THE IMAGE GEOMETRY raw2tiff can guess image width and height in case one or both of these parameters are not specified. If you omit one of those parameters, the complementary one will be calculated based on the file size (taking into account header size, number of bands and data type). If you omit both parameters, the statistical approach will be used. Utility will compute correlation coefficient between two lines at the image center using sev‐ eral appropriate line sizes and the highest absolute value of the coeffi‐ cient will indicate the right line size. That is why you should be cau‐ tious with the very large images, because guessing process may take a while (depending on your system performance). Of course, the utility can't guess the header size, number of bands and data type, so it should be specified manually. If you don't know anything about your image, just try with the several combinations of those options. There is no magic, it is just a mathematical statistics, so it can be wrong in some cases. But for most ordinary images guessing method will work fine. SEE ALSO pal2rgb(1), tiffinfo(1), tiffcp(1), tiffmedian(1), libtiff(3) Libtiff library home page: http://www.remotesensing.org/libtiff/ libtiff November 2, 2005 RAW2TIFF(1)


Personality Viz
A visualization tool to analyze people's personality
Big Five Over Time
LIWC Weighted Category Scores
LIWC Dict Cloud
Tweet Snippets
User Detail
Twitter Info
Big Five
[Over All Time]
Tweets
Compare Individuals


Instance Constructors
-
new
ScalateServletRequestWrapper
(request: HttpServletRequest)
Value Members
-
def
!=
(arg0: AnyRef): Boolean
-
def
!=
(arg0: Any): Boolean
-
def
##
(): Int
-
def
==
(arg0: AnyRef): Boolean
-
def
==
(arg0: Any): Boolean
-
def
asInstanceOf
[T0]
: T0
-
def
clone
(): AnyRef
-
def
eq
(arg0: AnyRef): Boolean
-
def
equals
(arg0: Any): Boolean
-
def
finalize
(): Unit
-
def
getAttribute
(arg0: String): AnyRef
-
def
getAttributeNames
(): java.util.Enumeration[_]
-
def
getAuthType
(): String
-
def
getCharacterEncoding
(): String
-
def
getClass
(): java.lang.Class[_]
-
def
getContentLength
(): Int
-
def
getContentType
(): String
-
def
getContextPath
(): String
-
def
getCookies
(): Array[Cookie]
-
def
getDateHeader
(arg0: String): Long
-
def
getHeader
(arg0: String): String
-
def
getHeaderNames
(): java.util.Enumeration[_]
-
def
getHeaders
(arg0: String): java.util.Enumeration[_]
-
def
getInputStream
(): ServletInputStream
-
def
getIntHeader
(arg0: String): Int
-
def
getLocalAddr
(): String
-
def
getLocalName
(): String
-
def
getLocalPort
(): Int
-
def
getLocale
(): Locale
-
def
getLocales
(): java.util.Enumeration[_]
-
def
getMethod
(): String
-
def
getParameter
(arg0: String): String
-
def
getParameterMap
(): java.util.Map[_, _]
-
def
getParameterNames
(): java.util.Enumeration[_]
-
def
getParameterValues
(arg0: String): Array[String]
-
def
getPathInfo
(): String
-
def
getPathTranslated
(): String
-
def
getProtocol
(): String
-
def
getQueryString
(): String
-
def
getReader
(): BufferedReader
-
def
getRealPath
(arg0: String): String
-
def
getRemoteAddr
(): String
-
def
getRemoteHost
(): String
-
def
getRemotePort
(): Int
-
def
getRemoteUser
(): String
-
def
getRequest
(): ServletRequest
-
def
getRequestDispatcher
(path: String): RequestDispatcher
-
def
getRequestURI
(): String
-
def
getRequestURL
(): StringBuffer
-
def
getRequestedSessionId
(): String
-
def
getScheme
(): String
-
def
getServerName
(): String
-
def
getServerPort
(): Int
-
def
getServletPath
(): String
-
def
getSession
(): HttpSession
-
def
getSession
(arg0: Boolean): HttpSession
-
def
getUserPrincipal
(): Principal
-
def
hashCode
(): Int
-
def
isInstanceOf
[T0]
: Boolean
-
def
isRequestedSessionIdFromCookie
(): Boolean
-
def
isRequestedSessionIdFromURL
(): Boolean
-
def
isRequestedSessionIdFromUrl
(): Boolean
-
def
isRequestedSessionIdValid
(): Boolean
-
def
isSecure
(): Boolean
-
def
isUserInRole
(arg0: String): Boolean
-
def
ne
(arg0: AnyRef): Boolean
-
def
notify
(): Unit
-
def
notifyAll
(): Unit
-
def
removeAttribute
(arg0: String): Unit
-
def
setAttribute
(arg0: String, arg1: Any): Unit
-
def
setCharacterEncoding
(arg0: String): Unit
-
def
setRequest
(arg0: ServletRequest): Unit
-
def
synchronized
[T0]
(arg0: ⇒ T0): T0
-
def
toString
(): String
-
def
wait
(): Unit
-
def
wait
(arg0: Long, arg1: Int): Unit
-
def
wait
(arg0: Long): Unit
Inherited from HttpServletRequestWrapper
Inherited from HttpServletRequest
Inherited from ServletRequestWrapper
Inherited from ServletRequest
Inherited from AnyRef
Inherited from Any


GM Topic Trend
Big Data Analytics and Understanding Customer Sentiment
Number of reviews: {{c}}
{% for cars in a %}
{{ cars }}
{% endfor %}
Show me the reviews
Show me the graph
Back to Select Cars
Back to Main Menu


Is mining profitable?
Necessary files:
Link 1: Verush Hashrates
Link 2: Veruscoin profitability Calculator
Answer:
Mining VRSC with Verushash is at this time one of the most profitable coins to mine with your CPU. If you want to know how profitable it is, you need to know a few important details about your own conditions. 1) What hardware will I use to mine with? a) CPU - If that is a fairly modern CPU with AES and AVX instructions built in. This will be true if your processor is produced in 2013 or later. For processors between 2008 and 2012 you need to check the specifications. Older processors can still mine, but they will not perform well. b) GPU - It is possible to mine with fairly modern Nvidia GPU's, but since Verushash uses specific functions from the mentioned AES and AVX instruction sets, they will perform better than old CPUs, but worse than modern CPUs. c) FPGA - Many of these semi-specialized machines can be reprogrammed to mine VRSC. They don't have the same power per processor as a CPU, but they often have multiple processors running parrallel. The stronger ones can outperform a CPU easily, but need a lot of power to do so. 2) What is my energy price? 3) Do I use existing hardware or do I buy? If you know the answer to the hardware, you can look op a comparable one in the Spreadsheat from Link 1, to give you an idea of the performance. If you know your energy price also, you can use Link2 to get an estimate of how much your hardware can earn you at this moment. If you have to get new hardware just to mine, think about it for a moment: would you have bought new hardware anyway? If so, you can use this information to get an idea what kind of hardware you want to buy.


Prototype Speed Radar Gun: Second Year Electronics Project
In order to measure the speed of a moving object, the frequency change was measured and fast fourier
transforms were used to
convert this to speed which was displayed on an LCD screen.
This was a group project with 3
coursemates. I was personally responsible
for the logic gate circuit design and implementation. As part of that, I designed, simulated, built and
tested a 7 segment decoder.


Network settings web interface - by Ngo Phuong Le
{{notification}}
Networks
Refresh
Reboot
{{ nw.ssid }}
Security: {{nw.encryption}} Strength: {{nw.signal}}db
Connected


Deadline: {{review.reviewDeadline | date:'short'}}
Review Form Unfinished, Please fill it before deadline.
{{metric.description}}
Feedback:
FeedBack:


My name is Kai, and I amcurrently working in the Banking industry as a Quantitative Finance Analyst.
I do almost all the sports, basketball, skiing, snorkeling, surfing, golf, hiking and etc.
I love wines, and I passed WSET Level II for wine tasting and currently working towards getting a Dipolma.
I will post intersting stuff here.
{% for category in all_category %}


Kong came from a traditional Asian family that valued introverted social habits. He was shy and timid, and this trait was a big stumbling block for him in his teenage years, as he lacked the confidence to approach not only girls, but people in general. It wasn’t until he stumbled on an online forum where guys shared dating advice — incidentally, this is how he met Jesse. Throughout the years he learned you can be introverted and yet still be very successful when picking up girls. Once Kong let go of his self-consciousness, he discovered how to have fun and be himself.
Jesse started out as an overweight, cake eating, anti-social computer gamer. In the hopes of getting a girlfriend, he motivated himself to eat healthier and exercise to lose his fat. This turned into a broader mission, as he started to improve his social skills by taking public speaking classes and pushing himself to talk to girls.  This is the philosophy he holds and teaches others today.
Jason started talking to girls after his relationship of two years ended. He was so accustomed to girls asking him out that he had a difficult time pursuing and attracting girls he wanted to talk to. However, once he met and befriended Jesse and Kong, he soon realized that he had the choice to pick up any girl he bumped into. Jason was a quick learner, and has proven that all your limiting beliefs, from excuses to a fear of change, can be overcome.


Carol Dweck
For me this was great, According to psychologist Carol Dweck, known for her research on an individual’s implicit theory of intelligence, “In a fixed mindset students believe their basic abilities, their intelligence, their talents, are just fixed traits. They have a certain amount and that’s that, and then their goal becomes to look smart all the time and never look dumb.”
Mātau
Here are a few tips for making your classroom friendly to malleable brains:
Practice, practice, practice. Repeating an activity, retrieving a memory, and reviewing material in a variety of ways helps build thicker, stronger, more hard-wired connections in the brain.
Put information in context. Recognising that learning is, essentially, the formation of new or stronger neural connections, it makes sense to prioritise activities that help students tap into already-existing pathways (for instance, by integrating academic subjects or creating class projects relevant to their lives). In other words, nix the rote memorization. "Whenever new material is presented in such a way that students see relationships" between concepts, writes Willis, "they generate greater brain cell activity and achieve more successful long-term memory storage and retrieval."
Learning Plan and Strategies


Currently taking up my Master's in Electrical Engineering speciailizing in Communication and Computer Networks
with a research track on Machine Learning and Wireless Communications
Engineer, Cook, Martial Artist.
Work Email<EMAIL_ADDRESS>Cellphone: +63-09273767471
Deep Reinforcement Learning for Satellite Attitude Control · Design, fabrication and testing RF Embedded Hardware · Troubleshooting and management of ARSS ground receiving station. · RF hardware maintenance and testing. · Conducted Training programs and showcase presentations
· Test and evaluation using communication equipment such as SDRs, HF Power Amplifiers and Duplexers using Vector Network Analyzers and Power Meters. · Handle initialization and system integration for 6000 units of SIM. · Designed and implemented a data compilation and interpretation system for 8 base stations reports using python and bash script
Created a Website sample and oversaw the implantation of an HRIS for a government contract. · Setup of sound and lights system for large scale areas of a hotel-resort · Multiple CCTV/Security system contracts implemented. · Team manager/Staff coordinator during HR trainings events. · Spearheaded initial projects on government procurement for electronic laboratory supplies
Focusing on Wireless Communication, Computer Networks and Digital Signal Processing
Weight-based model simulation of Diwata 2 satellite under unity, for accurate force reactions of mass form and reaction wheel locations/mass
Python OpenCV based pedestrian tracker with movement prediction. In case of loss of signal or error in detection, the cpu still has a relative idea where the pedestrian is. Can support multiple targets and overlays


This function takes in a tibble or dataframe object, two numeric columns, and produces either a scatter or line plot to visualize the relationship between the two numerical features. Users can optionally change default arguments for plot-type, color, title, size of text, color-scheme, and toggle log transformation for the x and y axis.
numerical_eda( data, xval, yval, color, title = NULL, plot_type = "scatter", font_size = 10, color_scheme = "Tableau 10", x_transform = FALSE, y_transform = FALSE )
| data | A tibble or data frame object. |
|---|---|
| xval | A numeric variable used to represent the x-axis. |
| yval | A numeric variable used to represent the y-axis. |
| color | A character variable used to group the data points in different colors. |
| title | An optional character variable used to set the title and axis. |
| plot_type | An optional character variable used to represent the graphical relationship between xval and yval, options are "scatter" or "line" plot. |
| font_size | An optional integer variable used to set the font size. |
| color_scheme | An optional character variable used to set the color scheme |
| x_transform | An optional logical, whether a log transformation occurs on the x-axis. |
| y_transform | An optional logical, whether a log transformation occurs on the y-axis. |
numerical_plot A ggplot2 object. The numerical plot.
df <- iris numerical_plot <- numerical_eda( data = df, xval = Petal.Length, yval = Petal.Width, color = Species, title = "Petal.Length vs Petal.Width", font_size = 12 )


I have been making films since a young age! I first started with a cheap webcam making 3 second stop motions but now am creating short films for school and for fun using Adobe After Effects and Premiere Pro, a Parrot Bebop Drone, a GoPro Hero+ LCD and a Lumix DC Vario.
Below are some of my previous projects!
Forward
Forward is a short film that Lachlan Demasi and I made in 2016 for the 15 Words Film Festival. The 15 Words Film Festival runs every year with the limitation of 15 spoken words or less in the film.
Take 3 For The Sea
Take 3 For The Sea is an organisation that is encouraging people around the world to pick up 3 pieces of rubbish when you're at the beach or whenever you can! To help spread the word, my school's sustainability team held a film competition which involved filming yourself picking up 3 pieces of rubbish for the chance to win a GoPro camera. I won the competition with the film below!
Year 7 Camp With a GoPro
For my 2016 school camp, I brought a GoPro camera to film our activities!


With Apple adopting HEVC/H.265 in iOS 11, and camera manufacturers using HEVC to record 4K footage, as well as more and more video streaming websites heavily supporting HEVC, a change is on the horizon. Is there any possibility to play HEVC (H.265) video files on Samsung Galaxy A7? If you are trying to play HEVC files on Samsung Galaxy A7 but experiencing incompatibility issues, you may wish to read this guide. It explains a workaround to make HEVC/H.265 files playable on Samsung Galaxy A7.
The Samsung Galaxy A7 (2016) runs Android 5.1 and is powered by a 3300mAh non removable battery. It measures 151.50 x 74.10 x 7.30 (height x width x thickness) and weigh 172.00 grams.
Samsung Galaxy A7 refused playing an HEVC MKV movie
"Hi all, I’m a happy user of Samsung Galaxy A7. It plays almost everything I throw at it. Unfortunately, last night when I tried to play an MKV (HEVC compressed), it refused to work. I couldn’t figure out how. Is there any way to get this to work? Please advice a solution. Thanks."
If for any reason you are having troubles playing HEVC H.265 video on Samsung Galaxy A7, you are suggested to convert them to a different codec first, such as the widely supported H.264. Check a quick guide on how to convert HEVC H.265 to H.264 MP4 for Samsung Galaxy A7.
Part 1:
How to convert hevc videos for Samsung Galaxy A7 on Windows?
Part 2:
How to convert hevc videos for Samsung Galaxy A7 on Mac?
[pt_view id="2e16a40sux"]
Part 1. How to convert hevc videos for Samsung Galaxy A7 on Windows?
To convert hevc videos for Samsung Galaxy A7 playback on Windows, do as below:
Step 1: Import video files
Click “Add File” to load video files that you want to convert into this program.
Step 2: Select output format for Samsung Galaxy A7
Click "Profile" to select
"Samsung" > "Samsung Galaxy S7 edge(*.mp4)" as output format. This format profile will ensure a good performance while playing with Galaxy A7.
Tips:
If necessary, you can click "Settings" button to modify video and audio parameters like encoder, resolution, frame rate, bitrate, aspect ratio, sample rate, and audio channels. You can also “Enable 3D Settings” to add 3D effect to your source media.
Step 3: Click “Convert” to start hevc video to Samsung Galaxy A7 conversion on Windows.
As soon as the conversion is complete, click “Open Folder” to get the generated
MP4 files that are suitable for playing on your Samsung Galaxy A7. No audio lost issues will occur any more.
Part 2. How to convert hevc videos for Samsung Galaxy A7 on Mac?
To convert hevc videos for Samsung Galaxy A7 playback on Mac, do as below:
Step 1: Import video files
Click “Add File” to load video files that you want to convert into this program.
Step 2: Select output format for Samsung Galaxy A7
Click "Profile" to select
"Samsung" > "Samsung Galaxy S7 edge(*.mp4)" as output format. This format profile will ensure a good performance while playing with Galaxy A7.
Tips:
If necessary, you can click "Settings" button to modify video and audio parameters like encoder, resolution, frame rate, bitrate, aspect ratio, sample rate, and audio channels. You can also “Enable 3D Settings” to add 3D effect to your source media.
Step 3: Click “Convert” to start hevc video to Samsung Galaxy A7 conversion on Mac.
As soon as the conversion is complete, click “Open Folder” to get the generated
MP4 files that are suitable for playing on your Samsung Galaxy A7. No audio lost issues will occur again.
Also read:
Can’t view HEVC H.265 content on Samsung Galaxy Note 8


Placeholder image size set. When replacement happends, there is no jump in the page. The placeholder image has a transparent background to let the background image spinner show.
Placeholder image size set. When replacement happends, there is no jump in the page.
Placeholder image size set. Retina image available. When replacement happends, there is no jump in the page.
Placeholder image size set. When replacement happends, there is no jump in the page.
No size set. The image takes the size of the place holder. Not recommended, as when the final image is loaded, there will be a reflow of the content.
No src in img tag. This is invalid HTML. Should not be used.
An empty src (src=''
) means "url of the current page" and has
inconsistent behaviour between browsers.
Using an animated spinner to as placeholder.
Using an animated spinner with a set size.


MAJOR LEAGUE: BACK TO THE MINORS
Release Date: April 17, 1998 Starring: Scott Bakula, Corbin Bernsen, Thom Barry, Ted McGinley Jensen Daggett, Eric Bruskotter, Walt Goggins, Dennis Haysbert, Takaaki Ishibashi, Bob Uecker Directed by: John Warren Distributed by: Warner Brothers MPAA Rating: PG-13 (brief language) URL: http://www.execpc.com/~kinnopio/reviews/1998/major.htm
People who think Hollywood should stay away from sequels are most definitely going to use MAJOR LEAGUE: BACK TO THE MINORS as ammunition for their case. There are very few movies that can survive the sophomore jinx, let alone become franchises that sprawl out to three or four or even five movies. ROCKY, BATMAN, ALIEN, and LETHAL WEAPON are all enjoyable movies that have now spawned at least three less-than- enjoyable follow-ups, and in the case of ROCKY, we did have to sit through Stallone's stinker of a fifth episode (although the point might be made that it capped the series off). Hopefully, though, MAJOR LEAGUE 3's dismal appearance will warrant a cut-off for the series, as an outing like this does not deserve to be repeated.
There is little to like about the bad humor and dismal cast that cultivates MAJOR LEAGUE 3. Only three members of the original cast haven't nixed the franchise by this episode, and the title character is fresh meat. Scott Bakula (from a more enjoyable sports comedy, Necessary Roughness) plays Gus Cantrell, a minor league baseball player who, on the verge of retirement, takes the option from Roger Dorn (Corbin Bernsen) to manage a triple-A team in the Minnesota Twins' organization called the Buzz. Predictably, at the movie's outset, the group is a bumbling gaggle of klutzes that fight amongst themselves and boggle routine plays. And predictably, with Gus' help, they become a top-notch farm team. The climax of the movie comes with a bet between Gus and Leonard Huff (Ted McGinley), the manager of the Twins, that pits the Buzz against the Twins.
Bob Uecker as Harry Doyle, the vulgar announcer, and Dennis Haysbert as the intimdating Cuban batsman Pedro Cerrano, are the other two cast members (along with Bernsen) to make it back. Also returning from the second movie is Takaaki Ishibashi, although those three characters have lost their novelty and don't lend much to the movie's story. Even Uecker, usually funny, has lost a lot of his idiosyncrasies for the sake of a PG-13 rating: his drunken abandon is replaced with dry humor that loses appeal quickly. Bakula is decent as Buzz manager Cantrell, although his attempt at middle-aged wisdom doesn't lend itself to the audience the way Tom Berringer's did for the first movie. Bernsen, too, as Dorn, has lost his appeal, and Jensen Daggett (from FRIDAY THE 13TH PART VIII - now that's sequel overkill), who plays Gus' fiancee Maggie, is good-looking onscreen but either underused in the script or just pointless.
Sports comedies are drastically in decline, and that may correlate to the declining stability of professional sports. Laughable gems like MAJOR LEAGUE don't deserve to be ruined by poor sequels, and even though Warner Brothers may not have realized it prior to their distribution of the third episode, they may after it brings in poor box office receipts. Although CITY OF ANGELS was a diamond in the rough for the film company, they haven't had a box-office smash in seven months. MAJOR LEAGUE: BACK TO THE MINORS is definitely missable, for just about every person and for just about any other movie.
FINAL AWARD FOR "MAJOR LEAGUE 3": 0.5 stars - a very poor movie.
-- Craig Roush<EMAIL_ADDRESS>-- Kinnopio's Movie Reviews http://www.execpc.com/~kinnopio
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


QuickWiki
Home
Hello and welcome to your new QuickWiki!
How does it feel?
Feel free to create new pages and stuff.


samsung adapter settings
Settings
Model:
H and J
Other
IP
Config
JSONConfig
Info
on save adapter restarts with new config immediately


{% load i18n %}
{% trans "Only around 19 percent of the amount paid to doctors and health care professionals for fees and conference and travel expenses was published on an individual basis in 2016. The remaining amount was only published as an aggregate sum. For organizations, 62 percent of the total amount was attributed to individual organizations." context "AT" %}
{% trans "Detailed payments to doctors related to studies and non-interventional studies are not published by the pharma companies." context "AT" %}


Raangi Teaser: Trisha Krishnan Intrigues Us With Her Complete Badass Avatar
Trisha is also speculated to be a part of Telugu megastar, Chiranjeevi's next
by Koimoi.com TeamGorgeous Kollywood actress Trisha Krishnan will soon be seen on big screens after a gap of over a year. The actress is all set to blow the audience’s mind with action thriller Raangi. The makers yesterday unveiled the first teaser of the film.
The makers yesterday took on their twitter handle to share the teaser: Here’s the Official Teaser of #RAANGI starring @trishtrashers
Talking about the teaser, the 46-second long teaser has no dialogue, as action in the video speaks for itself. One gets to see Trisha in a badass avatar, kicking baddies and performing daredevilry stunts with guns to rescue a teenage girl.
Talking about Raangi, the action thriller is been helmed by filmmaker M.Saravanan, and it is produced by Allirajah Subaskaran under Lyca Productions.
The story for Raangi is been written by Darbar filmmaker A R Murugadoss.
Music for the action thriller is been composed by C.Sathya.
The film is slated to release in 2020.
Talking about Trisha, the versatile actress was last seen on the big screen in Tamil romantic drama venture 96 opposite Kollywood star Vijay Sethupathi in lead.
The film which released in late 2018 was helmed by C.Prem Kumar.
Trisha is also in news from past number days following speculations revolving her being part of Telugu megastar, Chiranjeevi’s next which has been tentatively titled Chiru152.


| readRStudioPreference {rstudioapi} | R Documentation |
Reads an internal RStudio IDE preference for the current user.
readRStudioPreference(name, default)
name |
The name of the preference. |
default |
The default value of the preference, returned if the preference is not found. |
RStudio IDE internal preferences include the values displayed in RStudio's Global Options dialog as well as a number of additional settings.
The readRStudioPreference
function was added in version 1.3.387
of RStudio.
readPreference
, which can be used to read arbitrary
user (non-RStudio) preferences set with writePreference
.
link{writeRStudioPreference}
, which can be used to write internal
RStudio IDE preferences.
## Not run: # Get indentation settings spaces <- rstudioapi::readRStudioPreference("num_spaces_for_tab", FALSE) message("Using ", spaces, " per tab.") ## End(Not run)


Project 3
UI Design Process, Person, Place, Thing
A project dedicated to creating a website for an underrepresented person, place, or thing. With artist permission, I created a timeline based on the career of Jonathan Roxmouth. Due to deadlines, the timeline does not feature any concerts or album releases, only musicals or plays he has been casted in since starting his professional career in 2006. It was an interesting experience that came with some difficulties. Some of the information was harder to find, his official website lacks the productions of his entire career and seems to only showcase some highlights. Years are also not included in this, so I had to find articles about the shows for some. I also experimented with new things to code, such as a modal, an SVG, and a scroll to the top button. Overall, I am very happy with the results and send much thanks for Mr. Roxmouth for the help and encouragement.


|
Scrabble
A simplified version of the popular tabletop game Scrabble, coded in C++ .
|
| CBoard | |
| CCollector | Class responsible for recycling the memory released in List |
| CdataSocketServer | |
| CDictionary | Class Dictionary responsible of accessing dictionary.txt and searching for words in this text file |
| CExpert | Class word Expert, is a player that can validate and add |
| CGame | Abstraction of a Scrabble game |
| CGameDeck | Represents the deck of the game with the full amount of LetterTiles |
| CLetterTile | This class represents each letter tile used in Scrabble |
| CList | Implementation of a simple linked list formed by Node objects |
| CNode | Structure that stores a LetterTile type attribute and a pointer to the next node |
| CPlayerMessage | Message class, responsible for sending the word selected by the player to the server. This class serialized JSON and Parse to Player Massage |
| CQueue | |
| CServer | |
| Cserver_Socket | Socket class. It is responsible for managing the communication on the server side |
| CServerMessage |


You can use the 68k build of clib2 with the existing Amiga 68k ports of the GNU 'C' compiler. In order to do so, you need to modify the specs file which controls how the compiler(s) and the linker interact, and where the linker will look for the program startup code and library files. Also, you will need to copy the header files, startup code and library files to the locations where the 'C' compiler and linker expects them.
Please read the following description before you follow the instructions. The changes suggested may have unexpected side-effects!
I have provided a working specs file with this documentation file. To switch over an existing Amiga 68k port of GCC to use clib2, you would proceed as follows:
(NOTE: Check the directory called GCC:lib/gcc-lib/amigaos first; the "2.95.3" quoted above refers to the version, revision and patch number of the GCC installed and your version number may differ!)
(NOTE: Check the directory called GCC:lib/gcc-lib/amigaos first; the "2.95.3" quoted above refers to the version, revision and patch number of the GCC installed and your version number may differ!)
Once you have completed these steps you should be able to build programs using the 68k build of clib2 and you currently installed GCC. Note that these changes may have the effect of rendering your C++ compiler unusable, so make sure that you've made backup copies of all files and directories first!


Borrow a selection of books, magazines, video games, ebooks, audiobooks, comics, and manga chosen specifically with teens in mind.
Check out controllers and games to use in-house with our Playstation 4 and Smart TV. Or go analog and try out our collection of board and card games.
Borrow Chromebooks and laptops. Or create music, graphics, and video on two powerful desktops loaded with Ableton Live and Adobe Creative Cloud.
Try Ableton Push. Use a MIDI keyboard. Make beats with a Pocket Operator. Invent with littleBits. Drive a Sphero. Design a game with Bloxels.
Need a recommendation? Want to learn something new? Have a problem you need help solving? We can connect you to the support and resources you need.
Get help with schoolwork from librarians daily or get connected with Brandeis student volunteer tutors for one-on-one tutoring.
We can guide you through the search, application, and interview process. Ask to use us as a reference. Take a personality test to explore careers suited to you.
Earn work experience by volunteering. Help with projects. Organize an event. Start and lead a club. Promote the library. Write reviews for our Instagram.
Study and practice for PSAT, ACT, SAT, or AP tests; find colleges and scholarships; and explore careers through Peterson's Testing and Education Center.
Want to get your driver's license? Find out how; download the manual; and take a variety of practice tests with our online driver's education resources.
Learn English, Spanish, Haitian Creole, Mandarin, and many more through fun, interactive lessons on a desktop, phone, or tablet with Mango Languages.
Find legal help, check Consumer Resources product reviews, explore your ancestry, download music, and more for free through our online resources.
Teen Specialist
Luke is from Denver, Colorado and studied liberal arts in Santa Fe, New Mexico.  He's a lifelong rap fan, loves the arts, and roots regularly for his hometown Denver Nuggets.
Teen Assistant
Casey is from Medford, Massachusetts and studied journalism at Boston University. She loves photography, drawing, and Harry Potter (she's a Ravenclaw!). One of her life goals is to run all of the Abbott World Marathon Majors. One down, one on deck, four to go!