They delegate of a keyboard popup allowing customization at runtime of the keyboard.
The keyboard session completed with some input.
This will be sent upon ENTRY_SUBMITTED or ENTRY_VOICE. If the event is ENTRY_VOICE, the user requested to start a voice session in order to submit input to this keyboard. This MUST be handled by you. Start an Audio Pass Thru session if supported.
- (void)userDidSubmitInput:(nonnull NSString *)inputText
withEvent:(nonnull SDLKeyboardEvent)source;
func userDidSubmitInput(_ inputText: String, withEvent source: SDLKeyboardEvent)
The submitted input text on the keyboard
ENTRY_SUBMITTED if the user pressed the submit button on the keyboard, ENTRY_VOICE if the user requested that a voice session begin
The keyboard session aborted.
This will be sent if the keyboard event ENTRY_CANCELLED or ENTRY_ABORTED is sent
- (void)keyboardDidAbortWithReason:(nonnull SDLKeyboardEvent)event;
func keyboardDidAbort(withReason event: SDLKeyboardEvent)
ENTRY_CANCELLED if the user cancelled the keyboard input, or ENTRY_ABORTED if the system aborted the input due to a higher priority event
Implement this in order to provide a custom keyboard configuration to just this keyboard. To apply default settings to all keyboards, see SDLScreenManager.keyboardConfiguration
- (nonnull SDLKeyboardProperties *)customKeyboardConfiguration;
optional func customKeyboardConfiguration() -> SDLKeyboardProperties
The custom keyboard configuration to use.
Implement this if you wish to updated the KeyboardProperties.autoCompleteList as the user updates their input. This is called upon a KEYPRESS event.
This allows you to present a list of options that the user can use to fill in the search / text box with suggestions you provide.
- (void)updateAutocompleteWithInput:(nonnull NSString *)currentInputText
autoCompleteResultsHandler:
(nonnull SDLKeyboardAutoCompleteResultsHandler)resultsHandler;
optional func updateAutocomplete(withInput currentInputText: String, autoCompleteResultsHandler resultsHandler: @escaping SDLKeyboardAutoCompleteResultsHandler)
The user’s full current input text
A completion handler to update the autoCompleteList
Implement this if you wish to update the limitedCharacterSet as the user updates their input. This is called upon a KEYPRESS event.
- (void)updateCharacterSetWithInput:(nonnull NSString *)currentInputText
completionHandler:
(nonnull SDLKeyboardCharacterSetCompletionHandler)
completionHandler;
optional func updateCharacterSet(withInput currentInputText: String) async -> [String]?
The user’s full current input text
A completion handler to update the limitedCharacterSet
Implement this to be notified of all events occurring on the keyboard
- (void)keyboardDidSendEvent:(nonnull SDLKeyboardEvent)event
text:(nonnull NSString *)currentInputText;
optional func keyboardDidSendEvent(_ event: SDLKeyboardEvent, text currentInputText: String)
The event that occurred
The user’s full current input text
Implement this to be notified of input key mask update (whether or not the user has changed the input to be hidden, like passwords)
- (void)keyboardDidUpdateInputMask:(BOOL)isEnabled;
optional func keyboardDidUpdateInputMask(_ isEnabled: Bool)
- YES if the mask is enabled, NO if the mask is disabled @added in SmartDeviceLink 7.1.0


{% extends "base.html" %} {% block title %}Donation{% endblock %} {% block content %}
We welcome donations to support making this a great convention, but please bear in mind our Tradition 7:
Every A.A. group ought to be fully self-supporting, declining outside contributions.
We can ONLY accept donations from alcoholics. Many thanks


Contiv/VPP Kubernetes Network Plugin¶
Overview¶
Kubernetes is a container orchestration system that efficiently manages Docker containers. The Docker containers and container platforms provide many advantages over traditional virtualization. Container isolation is done on the kernel level, which eliminates the need for a guest virtual operating system, and therefore makes containers much more efficient, faster, and lightweight. The containers in Contiv/VPP are referred to as PODs.
Contiv/VPP is a Kubernetes network plugin that uses FD.io VPP
to provide network connectivity between PODs in a k8s cluster (k8s is an abbreviated reference for kubernetes).
It deploys itself as a set of system PODs in the kube-system
namespace,
some of them (contiv-ksr
, contiv-etcd
) on the master node, and some
of them (contiv-cni
, contiv-vswitch
, contiv-stn
) on each node in the cluster.
Contiv/VPP is fully integrated with k8s via its components, and it automatically reprograms itself upon each change in the cluster via k8s API.
The main component of the VPP solution, which
runs within the contiv-vswitch
POD on each node in the cluster. The VPP solution also provides
POD-to-POD connectivity across the nodes in the cluster, as well as host-to-POD
and outside-to-POD connectivity. This solution also leverages
VPP’s fast data processing that runs completely in userspace, and uses
DPDK for fast access to the network IO layer.
Kubernetes services and policies are also a part of the VPP configuration, which means they are fully supported on VPP, without the need of forwarding packets into the Linux network stack (Kube Proxy), which makes them very effective and scalable.
Architecture¶
Contiv/VPP consists of several components, each of them packed and shipped as a Docker container. Two of them deploy on Kubernetes master node only:
The rest of them deploy on all nodes within the k8s cluster (including the master node):
The following section briefly describes the individual Contiv components, which are displayed as orange boxes on the picture below:
Contiv KSR¶
Contiv KSR (Kubernetes State Reflector) is an agent that subscribes to k8s control plane, watches k8s resources and propagates all relevant cluster-related information into the Contiv ETCD data store. Other Contiv components do not access the k8s API directly, they subscribe to Contiv ETCD instead. For more information on KSR, read the KSR Readme.
Contiv ETCD¶
Contiv/VPP uses its own instance of the ETCD database for storage of k8s cluster-related data reflected by KSR, which are then accessed by Contiv vSwitch Agents running on individual nodes. Apart from the data reflected by KSR, ETCD also stores persisted VPP configuration of individual vswitches (mainly used to restore the operation after restarts), as well as some more internal metadata.
Contiv vSwitch¶
vSwitch is the main networking component that provides the connectivity to PODs. It deploys on each node in the cluster, and consists of two main components packed into a single Docker container: VPP and Contiv VPP Agent.
VPP is the data plane software that provides the connectivity between PODs, host Linux network stack, and data-plane NIC interface controlled by VPP:
PODs are connected to VPP using TAP interfaces wired between VPP, and each POD network namespace.
host network stack is connected to VPP using another TAP interface connected to the main (default) network namespace.
data-plane NIC is controlled directly by VPP using DPDK. Note, this means that this interface is not visible to the host Linux network stack, and the node either needs another management interface for k8s control plane communication, or [STN (Steal The NIC)](SINGLE_NIC_SETUP.html) deployment must be applied.
Contiv VPP Agent is the control plane part of the vSwitch container. It is responsible for configuring the VPP according to the information gained from ETCD, and requests from Contiv STN. It is based on the Ligato VPP Agent code with extensions that are related to k8s.
For communication with VPP, it uses VPP binary API messages sent via shared memory using GoVPP. For connection with Contiv STN, the agent acts as a GRPC server serving CNI requests forwarded from the Contiv CNI.
Contiv CNI¶
Contiv CNI (Container Network Interface) is a simple binary that implements the Container Network Interface API and is being executed by Kubelet upon POD creation and deletion. The CNI binary just packs the request into a GRPC request and forwards it to the Contiv VPP Agent running on the same node, which then processes it (wires/unwires the container) and replies with a response, which is then forwarded back to Kubelet.
Contiv STN Daemon¶
This section discusses how the Contiv [STN (Steal The NIC)](SINGLE_NIC_SETUP.html) daemon operation works. As already mentioned, the default setup of Contiv/VPP requires two network interfaces per node: one controlled by VPP for data facing PODs, and one controlled by the host network stack for k8s control plane communication. In case that your k8s nodes do not provide two network interfaces, Contiv/VPP can work in the single NIC setup, when the interface will be “stolen” from the host network stack just before starting the VPP and configured with the same IP address on VPP, as well as on the host-VPP interconnect TAP interface, as it had in the host before it. For more information on STN setup, read the [Single NIC Setup README](./SINGLE_NIC_SETUP.html)


{% extends "shop/base.html" %} {% block title %}Manage keys and files{% endblock %} {% block body %}
You can upload files up to 50MB in size for your buyers to download.
{% if product.digitalfile_set.all %}You can use this to distribute a different key to each person
{% if product.digitalkeyset_set %}There are no key sets!
{% endif %} Create keyset


Here is some info about the list. There is probably going to be more text here than just one sentence, so we might as well write some more text. If you have ever seen a shorter description than this, then maybe we should try using that one as well. Otherwise, this should do it.


22.1 This exercise explores the quality of the $n$-gram model of language. Find or create a monolingual corpus of 100,000 words or more. Segment it into words, and compute the frequency of each word. How many distinct words are there? Also count frequencies of bigrams (two consecutive words) and trigrams (three consecutive words). Now use those frequencies to generate language: from the unigram, bigram, and trigram models, in turn, generate a 100-word text by making random choices according to the frequency counts. Compare the three generated texts with actual language. Finally, calculate the perplexity of each model.
22.2 Write a program to do segmentation of words without spaces. Given a string, such as the URL “thelongestlistofthelongeststuffatthelongestdomainnameatlonglast.com,” return a list of component words: [“the,” “longest,” “list,” $\ldots$]. This task is useful for parsing URLs, for spelling correction when words runtogether, and for languages such as Chinese that do not have spaces between words. It can be solved with a unigram or bigram word model and a dynamic programming algorithm similar to the Viterbi algorithm.
22.3 Zipf’s law of word distribution states the following: Take a large corpus of text, count the frequency of every word in the corpus, and then rank these frequencies in decreasing order. Let $f_{I}$ be the $I$th largest frequency in this list; that is, $f_{1}$ is the frequency of the most common word (usually “the”), $f_{2}$ is the frequency of the second most common word, and so on. Zipf’s law states that $f_{I}$ is approximately equal to $\alpha / I$ for some constant $\alpha$. The law tends to be highly accurate except for very small and very large values of $I$.
22.4 Choose a corpus of at least 20,000 words of online text, and verify Zipf’s law experimentally. Define an error measure and find the value of $\alpha$ where Zipf’s law best matches your experimental data. Create a log–log graph plotting $f_{I}$ vs. $I$ and $\alpha/I$ vs. $I$. (On a log–log graph, the function $\alpha/I$ is a straight line.) In carrying out the experiment, be sure to eliminate any formatting tokens (e.g., HTML tags) and normalize upper and lower case.
22.5 (Adapted from @Jurafsky+Martin:2000.) In this exercise you will develop a classifier for authorship: given a text, the classifier predicts which of two candidate authors wrote the text. Obtain samples of text from two different authors. Separate them into training and test sets. Now train a language model on the training set. You can choose what features to use; $n$-grams of words or letters are the easiest, but you can add additional features that you think may help. Then compute the probability of the text under each language model and chose the most probable model. Assess the accuracy of this technique. How does accuracy change as you alter the set of features? This subfield of linguistics is called stylometry; its successes include the identification of the author of the disputed Federalist Papers @Mosteller+Wallace:1964 and some disputed works of Shakespeare @Hope:1994. @Khmelev+Tweedie:2001 produce good results with a simple letter bigram model.
22.6 This exercise concerns the classification of spam email. Create a corpus of spam email and one of non-spam mail. Examine each corpus and decide what features appear to be useful for classification: unigram words? bigrams? message length, sender, time of arrival? Then train a classification algorithm (decision tree, naive Bayes, SVM, logistic regression, or some other algorithm of your choosing) on a training set and report its accuracy on a test set.
22.7 Create a test set of ten queries, and pose them to three major Web search engines. Evaluate each one for precision at 1, 3, and 10 documents. Can you explain the differences between engines?
22.8 Try to ascertain which of the search engines from the previous exercise are using case folding, stemming, synonyms, and spelling correction.
22.9 Estimate how much storage space is necessary for the index to a 100 billion-page corpus of Web pages. Show the assumptions you made.
22.10 Write a regular expression or a short program to extract company names. Test it on a corpus of business news articles. Report your recall and precision.
22.11 Consider the problem of trying to evaluate the quality of an IR system that returns a ranked list of answers (like most Web search engines). The appropriate measure of quality depends on the presumed model of what the searcher is trying to achieve, and what strategy she employs. For each of the following models, propose a corresponding numeric measure.
The searcher will look at the first twenty answers returned, with the objective of getting as much relevant information as possible.
The searcher needs only one relevant document, and will go down the list until she finds the first one.
The searcher has a fairly narrow query and is able to examine all the answers retrieved. She wants to be sure that she has seen everything in the document collection that is relevant to her query. (E.g., a lawyer wants to be sure that she has found all relevant precedents, and is willing to spend considerable resources on that.)
The searcher needs just one document relevant to the query, and can afford to pay a research assistant for an hour’s work looking through the results. The assistant can look through 100 retrieved documents in an hour. The assistant will charge the searcher for the full hour regardless of whether he finds it immediately or at the end of the hour.
The searcher will look through all the answers. Examining a document has cost A ; finding a relevant document has value B ; failing to find a relevant document has cost C for each relevant document not found.
The searcher wants to collect as many relevant documents as possible, but needs steady encouragement. She looks through the documents in order. If the documents she has looked at so far are mostly good, she will continue; otherwise, she will stop.


Component: tos.lib.net.6lowpan.IPC
configuration IPC
Provides
interface
IP
interface
SplitControl
as
IPControl
interface
UDPClient
[uint8_t]
Wiring


Error retrieving ACS data.
People and Household Data: U.S. Census Bureau, American Community Survey, 2011-2015.
Nonprofit Data: IRS Form 990/990EZ, IRS Business Master File, and Additional Data. Data Compiled by Drexel University.
Nonprofit Data: IRS Form 990/990EZ, IRS Business Master File, and Additional Data. Data Compiled by Drexel University.


Effects Added:
10xx - Set WAVE:
This effect will change the current wave defined in the WAVE Channel Instrument Editor Window.
11xx - Set Noise Polynomial Counter Mode:
This effect will set the current Polynomial counter for the Noise Channel, 0 will set it to 15 steps, and 1 will set it to 7.
12xx - Set Duty Cycle:
This effect will set the duty cycle value of the current Square Channel, you can set a value from 0 to 3. 0=12.5%, 1=25%, 2=50% and 3=75%.
13xy - Set Sweep Time and Shift:
Value x will set the Sweep time, and value y will set the Sweep Shift. Both have a valid range from 0 to 7. A zero value will disable the sweep.
14xx - Set Sweep Direction:
A zero value will make the sweep to go upwards, a non zero value, downwards.


Well managed chronological data that helps you to sort and search easily
Data can be send and handled easily with all crud operation in a single dashboard
There is always an multiple priviledge to manage your accounts and records.


iOS Push Notifications
Zero To Engagement
Created by Adam Duke
Agenda
What is a push notification?
How do they work?
Communicating with APNS
Prerequisites for communicating
Code Walkthrough
Pitfalls
Feedback
Upcoming Changes/Features
Third-party Providers
What is a push notification?
Most of the time they look something like...
Hopefully someone laughs...
How do they work?
Apple maintains a persistent connection to each device
Something happens that you want to tell a user about
Package up some data in Apple's proprietary protocol
Send the data to Apple
Apple forwards the information to your user's device
TL;DR
Hopefully someone laughs...
Proprietary protocol?
Uses a plain TCP socket secured by SSL
A single notification looks like...
Ewww
Ain't nobody got time for that
Most platforms have a library for this
Prerequisites to send a notification
Certificates to secure your socket
A device token
Who do you want to send a notification to?
We'll talk about how to get this in a minute.
A JSON hash of the data you'd like to send
The 'alert' key will be the text shown
The 'badge' key will set the badge on the icon
The 'sound' key identifies the sound to play
There are more complicated options...
What do they look like?
Certificates
This is just a public/private key pair
What do they look like?
Device Token
399aac70e191943153a5c9c291fd75fda369c3c6d5c7c3eb77a8c2ae601bd6c4
What do they look like?
Notification Payload
{
"aps" : {
"alert" : "You've got mail!",
"badge" : 9,
"sound" : "special_ed_mail.aiff"
}
}
{
"aps" : {
"alert" : "Adam D. sent you a message!",
"badge" : 9,
"sound" : "bingbong.aiff"
},
"info" : {
"type" : "chat",
"user_id" : "123456"
}
}
How do I get a device token?
Write some code!
- (void)applicationDidBecomeActive:(UIApplication *)application
{
/* Every time the app becomes active,
attempt to register */
[application registerForRemoteNotificationTypes:
(UIRemoteNotificationTypeBadge |
UIRemoteNotificationTypeSound |
UIRemoteNotificationTypeAlert)];
}
How do I get a device token?
Remember this is Objective-C, so...
Write a little more code!
- (void)application:(UIApplication *)application
didRegisterForRemoteNotificationsWithDeviceToken:(NSData *)deviceToken
{
/* Turn the data into a string.
Someone will tell me I can do this with a regex */
NSString *token = [deviceToken description];
token = [token stringByReplacingOccurrencesOfString:@"<"
withString:@""];
token = [token stringByReplacingOccurrencesOfString:@">"
withString:@""];
token = [token stringByReplacingOccurrencesOfString:@" "
withString:@""];
/* TODO: Save the string along with a
user id to the server so we can
know which devices belong to whom. */
}
Pitfalls
Apple expects you to maintain a persistent connection to the APN service
Rapid connect/disconnect behavior may be seen as a DOS attack and get you black listed
The communication over the connection is asynchronous
If there is a problem with a notification Apple will reply, and close the connection
Any notifications sent between the error and the reply must be sent again
Connections that are idle for too long are closed with no warning
Feedback Service
User deletes your app
You attempt to notify them
Apple realizes the app is no longer on their device
Apple marks that device as inactive
Query the feedback service
You mark the device inactive
Don't send notifications to inactive devices
If the device registers for notifications again, mark the device as active
Resume sending notifications
New Push Notification Features
Silent Notifications
Send a notification with data and no user facing content
Use background fetch to update local copies of data
Schedule a local notification to alert the user of new content
User launches the app and doesn't have to wait for data to download
New Push Notification Features
Notifications for Websites (Safari 7+)
Run some javascript on your site
Safari makes a POST request to your server
You return a zip file called a PushPackage
Push package contains icons and some metadata about the site
Safari uses the icons and metadata to ask the user for permission
User allows notifications
Safari makes another POST request to your server with a device token
Use that device token in the same way as device tokens for other devices
Third-party Providers
ZeroPush.com - A developer focused push notification provider
Full disclosure, my friend and I write/maintain this
UrbanAirship.com - A marketing focused push notification provider
Parse.com - Cloud database and push notification provider
Owned by Facebook, possibly subject to NSA Prism data collection
Push.IO


--- layout: page title: Search tagline: 全站搜索 permalink: /search/ header: Posts By Tag group: navigation ---


A PROGRESSIVE 'WEEB' APPLICATION
Soundboards
Soundboard 1
Soundboard 2
Theme
Dark
Light
Hello Kitty!
Compact View
Song
Your browser does not support JavaScript!


*What is your long term goal and/or career pathway?
After succesfully concluding the Bootcamp and becoming a Junior Full Stack Developer I want to start working for a company straight away so I can keep improving my technical and interpersonal skills. Long term goal is to become a Software application developer and work for a big tech company.
*A description of your own strenghts and limitations in relation to learning:
If a reflect enough about something and decide that's what I want to do I'm good at following the necessary steps to do so and achieve it. Good examples are the idea of coming to NZ and also doing this Bootcamp. The problem though is that I get drisctrated easily when reading and also catch myself trying to understand too much of sometthing and end loosing the main focus. I also need to improve my time management skills.
* What skills (non-technical - human skills) would you like to see developed in yourself while at Dev Academy?
I need to improve my communication skills so I can enhance my networking skills.
*A commitment to how you will manage your workload in this programme. This should include:
a)An explanation of how you will manage yourself to work productively and safely with other learners, facilitators and industry/community representatives:
Being determined to become a web developer will give me the discipline needed to work hard everyday. And Improving time management by tracking my time will allow me to work in a productive and consistent way not only for me but also with others.
b)What you will do when things are building up and starting to get to you:
To keep my mind fresh I have the necessity of practicing a sport, either a walk/run, swim or going to the gym so I'll keep that as part of my plan on a weekly basis. Once I see I'm struggling with something I will take a break to refresh my mind before getting back to the "problem". And in case I don't figure it out, I'll ask for help in the group channel or to facilitator.
*A commitment as to how and where you will seek help in a timely way:
I want to succeed and for that I will need to follow the deadlines, so if I'm stuck I will ask my colleagues and/or my facilitator for help either in the group channels or privatly.
*A description of what you expect from the facilitation team:
Give me feedbacks, positive or negative, as I move through the course, and help me with any issues, technical or non-technical, I may face.
*Any scheduling information such as block-out times when you are committed to other things. For example, you might have whānau commitments like school drop-offs. It’s important to plan these in.
I'm pretty much 100% focused on doing the Bootcamp but as I mentioned previously, to keep my mind going I need to do somekind of exercise so I've going for a walk/run and doing workout exercises at home on a daily basis, either before or after I "start"or "finish" the day and I plan to keep on doing that all the day through the course. I understand that during the 9-week Bootcamp things can get a bit "crazy" but I'm still determined to stay fresh minded. Other than that, just helping with the basic house duties (shopping, cooking, cleaning) whenever needed.
SPRINT 5 - Learning Plan Review/Update
*What is your long term goal and/or career pathway?
That is actually a good question, relooking at my learning plan and thinking about the future I'm not sure exactly what my goal is but what I know now is that I want to develop a great career in the tech industry maybe owning my own business and relating Tehcnology with (either) Tourism and (or) Sports.
* What do you think your biggest strengths and limitations will be in Bootcamp?
My willingness to learn and all the support I'm getting from my wife and parents are my biggest stregnths. My limitations might be overthinking on everything.
* What do you think your biggest non-technical challenge at Bootcamp will be?
Creativity for my portoflio.
* What non-technical skills - human skills - would you like to see developed in yourself while at Dev Academy?
Better time management and leadership skills.
What are your expectations from the Bootcamp team?
To guide me through the process showing the best way to understand each topic and how to put them together.
*What are your expectations of yourself on Bootcamp
I want to truly feel confident about my knowledge and make it to the end with a good portoflio so I can jump straight into the job market so I can learn more and so on..


Balance_check
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Expected balance: -818.63 found(at monitor): -766.15
user user168750 allocation 200804206d3630895f685284 at<PHONE_NUMBER>339 TX ID 11e64ad1f2b020e
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Expected balance: -7755.74 found(at monitor): -7860.69
user user163000 allocation<PHONE_NUMBER>20f414ad69a71e at<PHONE_NUMBER>488 TX ID 11e6a00b441070e
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Expected balance: -440.79 found(at monitor): -419.8
user user199250 allocation<PHONE_NUMBER>d271c1fd763710 at<PHONE_NUMBER>180 TX ID 11edcd1867c0c0e
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Expected balance: -703.16 found(at monitor): -682.17
user user48000 allocation 200805303b823ebacf21642f at<PHONE_NUMBER>732 TX ID 11f05c795db060e
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Expected balance: 4.95 found(at monitor): 104.95
user user222000 allocation 11f05a1dd9e0a0e at<PHONE_NUMBER>174 TX ID 11f061eabcf020e
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Expected balance: 0.0 found(at monitor): 9.99
user user58000 allocation 11ef3e67171000e at<PHONE_NUMBER>307 TX ID 11f17d30bac040e
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Expected balance: -83.96 found(at monitor): -41.98
user user57500 allocation 11f0f57d658030e at<PHONE_NUMBER>121 TX ID 11f223ce4db0e0e
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Expected balance: -1128.1 found(at monitor): -1108.16
user user105750 allocation 11e78f415730c0e at<PHONE_NUMBER>080 TX ID 11f225422090d0e
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Expected balance: -522.5 found(at monitor): -418.0
user user87250 allocation 11f2b61071e0a0e at<PHONE_NUMBER>429 TX ID 11f35383995040e
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Expected balance: 112.33 found(at monitor): 117.21
user user39500 allocation 20080814c31e660645566a78 at<PHONE_NUMBER>082 TX ID 11f36d760c0050e
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user user189000 allocation 20080704ef14799de3336502 at<PHONE_NUMBER>098 TX ID 11f40e2c08b020e
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Expected balance: 1.34 found(at monitor): 8.83
user user145250 allocation 11f71399326020e at<PHONE_NUMBER>973 TX ID 11f8ef492c2090e
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Expected balance: 30.01 found(at monitor): 40.0
user user32750 allocation 11e99554b89000e at<PHONE_NUMBER>083 TX ID 11f94db35b6020e
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Expected balance: 111.41 found(at monitor): 205.31
user user84000 allocation 11e5a67411c0c0e at<PHONE_NUMBER>449 TX ID 11fb3e5d2db0b0e
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Expected balance: 0.0 found(at monitor): 2.12
user user84000 allocation 11eb7969e2c0c0e at<PHONE_NUMBER>389 TX ID 11fb3e5d2db0b0e
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Expected balance: 337.67 found(at monitor): 669.8
user user191000 allocation 11ee664da07040e at<PHONE_NUMBER>940 TX ID 11fcc6d11bb0e0e
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Expected balance: 103.24 found(at monitor): 150.21
user user39500 allocation<PHONE_NUMBER>4e455a7ffc52b9 at<PHONE_NUMBER>270 TX ID 11fcecb5e3f040e
[-]
Expected balance: -472.22 found(at monitor): -125.94
user user243000 allocation 11fdc5ae03c0f0e at<PHONE_NUMBER>476 TX ID 11feb0ac9a5080e
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Expected balance: 137.25 found(at monitor): 145.31
user user84000 allocation 200811025dcd52ea9eb88fa6 at<PHONE_NUMBER>083 TX ID 11fff18ae6d090e
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Expected balance: 98.06 found(at monitor): 108.05
user user95250 allocation<PHONE_NUMBER>a49b2711d30b3f at<PHONE_NUMBER>024 TX ID<PHONE_NUMBER>60d0e
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Expected balance: -7109.4 found(at monitor): -7088.41
user user36000 allocation 20080201d2504176d6ab4e8b at<PHONE_NUMBER>006 TX ID 1201de393da040e
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Expected balance: 186.84 found(at monitor): 265.54
user user191000 allocation 11f16308cd10d0e at<PHONE_NUMBER>118 TX ID 12021e58aa70f0e
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Expected balance: 32.51 found(at monitor): 135.44
user user66000 allocation 11f5c24cf77070e at<PHONE_NUMBER>537 TX ID 12028bc08ed050e
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Expected balance: -787.11 found(at monitor): -944.53
user user224250 allocation 200811025f24aa86f6565428 at<PHONE_NUMBER>475 TX ID 1203742dc31010e
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Expected balance: 100.0 found(at monitor): 700.0
user user238000 allocation 11e605f27b2050e at<PHONE_NUMBER>454 TX ID 120384818a70f0e


--- ---
The Indian Institute of Science is a premier Institute of higher learning and research in the country. It has more than 40 departments/centres/units and nearly 450 faculty members pursuing research in many areas of science and engineering.
The Department of Mathematics has established itself as an
excellent centre for research in both pure and applied mathematics. It has a small
but active research faculty, and seeks mathematicians who will add to the research
profile of the department. In addition to the regular (i.e. post-M.Sc./M.Tech.) Ph.D.
programme, the Department has an Integrated Ph.D. programme that admits students with
plans for research in mathematics right after their Bachelors degree.
The Department of Mathematics welcomes applications in all fields of mathematics from researchers who are exceptionally motivated, and have an established record of independent, high-quality research, for Assistant Professorships in the Department of Mathematics.
Prospective candidates must have a Ph.D. (in relevant area) and must have completed three years of post-doctoral research at the time of appointment (relaxable in exceptional cases) and, preferably, be below 35 years of age.
The salary will be in the pay grade Rs. 30,000+8,000 per month (basic salary for this designation plus grade pay) plus allowances --- with raises each year. The total monthly pay includes:
Thus, the total emoluments, at present, for this pay grade stand at Rs. 78,280 per month. Additionally, a newly-appointed Assistant Professor can either opt for virtually rent-free on-campus housing, or claim a House Rent Allowance of Rs. 11,400 (i.e. 30% of Rs. 38,000).
At the end of three years' service, an Assistant Professor's pay is raised to the pay grade Rs. 37,400+9000 per month. At the current rates of exchange, 1 US dollar = Rs. 61.50 approximately; also 1 PPP-US dollar = Rs. 23.65 (approximately) which is the effective value of the US dollar against the rupee adjusted for Purchasing Power Parity (source: World Development Indicators: 2013, World Bank).
Interested candidates may apply by sending a curriculum vitae, list of publications along with reprints of important publications, a description of proposed research, names and addresses (with e-mail and fax number) of at least three referees, and any other relevant details to:
The Chairman
Department of Mathematics
Indian Institute of Science
Bangalore -- 560 012
INDIA
e-mail: chairman[at]math.iisc.ernet.in
General information about IISc is available on the website: http://www.iisc.ernet.in
Information about the Department of Mathematics is
available on our website: http://www.math.iisc.ernet.in
In case you have decided to apply to the Department of Mathematics at the Indian Institute of Science, here are a few points that might be useful to bear in mind.
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Hero MotoCorp reports 18% drop in October sales to 5,99,248 units
The company had sold 7,34,668 units in the same month last year, it said in a statement.
by Press Trust of IndiaTwo-wheeler market leader Hero MotoCorp on Friday reported 18.43 per cent decline in total sales at 5,99,248 units in October.
The company had sold 7,34,668 units in the same month last year, it said in a statement.
"The despatch numbers for the month of October reflect our conscious efforts at further correcting dealer inventories," Hero MotoCorp Head of Sales, After-Sales & Parts Sanjay Bhan said.


Introduction
This site gathers together all the data analysis behind the actual paper. Data analysis is broken down in three parts and each part is presented in .html format for human eyes and in text source including the R-code required for reproducing the analysis. As both the micro data and macro data are available as open data, anyone can rerun these analysis.
Data Analysis
Cleaning the data & variable summaries
Descriptive analysis
Misc analysis
Modelling the data
Article draft
Article draft in .pdf
Presentation slides
Take a look also at our project rOpenGov - R Ecosystem for Open Government Data and Computational Social Science
Analytical code is licensed under open FreeBSD-licence.


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