Wednesday, July 13, 2016
Friday, July 01, 2016
Wednesday, June 01, 2016
Personalised Medicine 2016
We continue to share links for monitoring the interesting events in Twitter. Now it is Personalised Medicine, Brussels, 2016
Twitter Live Feed: PerMed 2016
Monday, May 30, 2016
Wednesday, May 25, 2016
Geo IoT 2016
We continue to share links for monitoring the interesting events in Twitter. Now it is Geo IoT World, Brussels, 2016
Twitter Live Feed: GeoIot 2016
12 methods
Friday, May 13, 2016
Wednesday, May 11, 2016
On Mobile Cloud for Smart City Applications
This paper is devoted to mobile cloud services in Smart City projects. As per
mobile cloud computing paradigm, the data processing and storage are moved from
the mobile device to a cloud. In the same time, Smart City services typically
contain a set of applications with data sharing options. Most of the services
in Smart Cities are actually mashups combined data from several sources. This
means that access to all available data is vital to the services. And the
mobile cloud is vital because the mobile terminals are one of the main sources
for data gathering. In our work, we discuss criteria for selecting mobile cloud
services.
Friday, April 22, 2016
On Physical Web Browser
In this paper, we present the Physical Web Browser project for web applications depending on the environment. At this moment, many of users all over the world visit websites using their mobile devices only. Any mobile device (e.g., smartphone) has sensors to capture the environmental information. This information (context) could be analyzed and used within the web applications. There are, at least, two models for using this information. Firstly, we can use context information for data gathering requests in a web application. In this case, the output depends on the context. It is the classical model for context-aware data retrieval. In the second model, we can use context-aware data for improving user experience (for changing and tuning user interfaces). In other words, we present a way for the adaptation of web applications depending on the environment.
The paper is here
Tuesday, April 05, 2016
On data sharing in education
In this paper, we present one model for data sharing in educational classes. Typically, Learning Management Systems present data stores for keeping educational materials as well as the conversations between teachers and students. In our model, we propose a peer to peer data exchange via smartphones. With the high penetration of smartphones across students, the ability to support one-to-one communication with teachers could be a good add-on for the traditional learning support systems. This ability could be especially useful for on-demand organized classes, where the standard support is very costly.
Wednesday, March 30, 2016
Sunday, March 20, 2016
Friday, March 18, 2016
On hyper-local web
In this paper, we discuss one approach for development and deployment of web sites (web pages) devoted to the description of objects (events) with a precisely delineated geographic scope. This article describes the usage of context-aware programming models for web development. In our paper, we propose mechanisms to create mobile web applications which content links to some predefined geographic area. The accuracy of such a binding allows us to distinguish individual areas within the same indoor space. Target areas for such development are applications for Smart Cities and retail
Tuesday, March 15, 2016
Browsing in the Physical Web
In this paper, we present the Physical Web Browser project for web applications depending on the environment. At this moment, many of users all over the world visit websites using their mobile devices only. Any mobile device (e.g., smartphone) has sensors to capture the environmental information. This information (context) could be analyzed and used within the web applications. There are, at least, two models for using this information. Firstly, we can use context information for data gathering requests in a web application. In this case, the output depends on the context. It is the classical model for context-aware data retrieval. In the second model, we can use context-aware data for improving user experience (for changing and tuning user interfaces). In other words, we present a way for the adaptation of web applications depending on the environment.
Monday, March 14, 2016
Wednesday, February 24, 2016
Lock-free programming patterns
Lock-free programming is a well-known technique for multithreaded programming. Lock-free programming is a way to share changing data among several threads without paying the cost of acquiring and releasing locks. On practice, parallel programming models must include scalable concurrent algorithms and patterns. Lock-free programming patterns play an important role in scalability. This paper is devoted to lockfree data structures and algorithms. Our task was to choose the data structures for the concurrent garbage collector. We aim to provide a survey of lock-free patterns and approaches, estimate the potential performance gain for lock-free solutions. By our opinion, the most challenging problem for concurrent programming is the coordination and data flow organizing, rather than relatively low-level data structures. So, as the most promising from the practical point of view lock-free programming pattern, we choose the framework based on the Software Transactional Memory.
From WSEAS page
Monday, February 08, 2016
More about LSTM
Teaching machines to process text
A Beginner’s Guide to Recurrent Networks and LSTMs
See also the previous post about Long Short-Term Memory-Networks for Machine Reading
Sunday, February 07, 2016
Wednesday, February 03, 2016
The Physical Web
The Physical Web is a generic term describes interconnection of physical
objects and web. The Physical Web lets present physical objects in a web. There
are different ways to do that and we will discuss them in our paper. Usually,
the web presentation for a physical object could be implemented with the help
of mobile devices. The basic idea behind the Physical Web is to navigate and
control physical objects in the world surrounding mobile devices with the help
of web technologies. Of course, there are different ways to identify and
enumerate physical objects. In this paper, we describe the existing models as
well as related challenges. In our analysis, we will target objects enumeration
and navigation as well as data retrieving and programming for the Physical Web.
Monday, February 01, 2016
Wednesday, January 27, 2016
Machine Learning: From Theory to Algorithms
Saturday, January 23, 2016
SMART 2016
May 22 - 26, 2016 - Valencia, Spain
Submission deadline: Jan, 31 2016
Monday, January 18, 2016
Saturday, January 16, 2016
DSL for IoT
This paper discusses the challenges of the Internet of Things programming. Sensing and data gathering from the various sources are often the key elements of applications for Smart Cities. So, the effective programming models for them are very important. In this article, we discuss system software models and solutions, rather than network related aspects. In our paper, we present the web-based domain-specific language for Internet of Things applications. Our goal is to present the modern models for data processing in Internet of Things and Smart Cities applications. In our view, the use of this kind of tools should seriously reduce the time to develop new applications.
Friday, January 15, 2016
Chat bots in Twitter
Internet messengers and social networks have become an integral part of modern digital life. We have in mind not only the interaction between individual users but also a variety of applications that exist in these applications. Typically, applications for social networks use the universal login system and rely on data from social networks. Also, such applications are likely to get more traction when they are inside of the big social network like Facebook. At the same time, less attention is paid to communication capabilities of social networks. In this paper, we target Twitter as a messaging system at the first hand. We describe the way information systems can use Twitter as a transport layer for own services. Our work introduces a programmable service called 411 for Twitter, which supports user-defined and application-specific commands through tweets
Wednesday, January 06, 2016
Chat bots in Facebook
Tuesday, December 29, 2015
The physical web in smart cities
In this paper, we discuss the physical web projects based on network proximity for Smart Cities. In general, the Physical Web is an approach for connecting any physical object to the web. With this approach, we can navigate and control physical objects in the world surrounding mobile devices. Alternatively, we can execute services on mobile devices, depending on the surrounding physical objects. Technically, there are different ways to enumerate physical objects. In this paper, we will target the models based on the wireless proximity.
Sunday, December 13, 2015
Wednesday, December 09, 2015
Info-bots in Twitter
Internet messengers and social networks have become an integral part of modern digital life. We have in mind
not only the interaction between individual users but also a variety of applications that exist in these applications. Typically, applications for social networks use the universal login system and rely on data from social networks. Also, such applications are likely to get more traction when they are inside of the big social
network like Facebook. At the same time, less attention is paid to communication capabilities of social networks. In this paper, we target Twitter as a messaging system at the first hand. We describe the way information systems can use Twitter as a transport layer for own services. Our work introduces a programmable service called 411 for Twitter, which supports user-defined and application-specific commands through tweets.
Wednesday, November 25, 2015
Markov Chains
See here more publications about Markov Chains
Monday, November 23, 2015
Sunday, November 22, 2015
Friday, November 20, 2015
Mining Groups of Mobile Users
Friday, November 13, 2015
Monday, November 09, 2015
Twitter as a transport
Monday, November 02, 2015
EmTech 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is EmTech symposium, MIT, Cambridge 2015
Twitter Live Feed: Emtech 2015
Thursday, October 29, 2015
Data mining first aid
Wednesday, October 21, 2015
Monday, October 19, 2015
The Physical Web in Smart Cities
In this paper, we discuss the physical web projects based on network proximity for Smart Cities. In general, the Physical Web is an approach for connecting any physical object to the web. With this approach, we can navigate and control physical objects in the world surrounding mobile devices. Alternatively, we can execute services on mobile devices, depending on the surrounding physical objects. Technically, there are different ways to enumerate physical objects. In this paper, we will target the models based on the wireless proximity.
Monday, October 12, 2015
DSL for IoT
Sunday, September 27, 2015
Network Proximity for Content Discovery
The paper describes our approach for using wireless sensors on mobile phones for delivering new data to mobile subscribers. We propose a new practical approach for social context-aware data retrieval based on mobile phones as a sensor concept. This approach uses Wi-Fi and Bluetooth modules located on mobile phones as sensors for getting proximity information that can open (discover) access to any user-generated content or content published in the social networks. A special mobile service (context-aware browser client for Android) can present that information to mobile subscribers. The potential use-cases for the proposed approach include all projects associated with hyper-local news data. For example, news services in Smart City projects, proximity marketing, indoor data delivery, etc.
Saturday, September 26, 2015
Meta-Data in SDN API
This paper discusses the system aspects of the development of applied programming interfaces in Software-Defined Networking (SDN). SDN is a prospect software enablement for Wireless Sensor Networks (WSN). So, application layer SDN API will be the main application API for WSN. Almost all existing SDN interfaces use so-called Representational State Transfer (REST) services as a basic model. This model is simple and straightforward for developers, but often does not support the information (metadata) necessary for programming automation. In this article, we cover the issues of representation of metadata in the SDN API.
Friday, September 25, 2015
On events recognition in optical sensing systems
The novel approach for recognition of particular classes of non-conventional events in signals from phase-sensitive optical time-domain reflectometry is proposed. The proposed algorithmic solution is based on the adaptive filtering for de-nosing of signals and Gaussian Mixture Model with the feature space formed by the cepstral coefficients for their clustering. We use experimentally measured signals from phase-sensitive optical time-domain reflectometry based sensing systems for evidence of the suggested algorithm. Our results show that two classes of events can be detected and distinguished between two classes with the probability being close to 0.9. Proposed algorithmic solution can be used in real-time distributed fiber optic sensing systems for control of protected areas.
Thursday, September 24, 2015
Twitter as a transport in information systems
Internet messengers and social networks have become an integral part of modern digital life. We have in mind not only the interaction between individual users but also a variety of applications that exist in these applications. Typically, applications for social networks use the universal login system and rely on data from social networks. Also, such applications are likely to get more traction when they are inside of the big social network like Facebook. At the same time, less attention is paid to communication capabilities of social networks. In this paper, we target Twitter as a messaging system at the first hand. We describe the way information systems can use Twitter as a transport layer for own services. Our work introduces a programmable service called 411 for Twitter, which supports user-defined and application-specific commands through tweets.
Sunday, September 20, 2015
To Deep or not to Deep
Our own answer - No. Very often, simpler algorithms like logistic regression will work fine. Deep Learning success depends on the data volume. It should be huge and it is not always true.
Tuesday, September 15, 2015
On Data Program Interfaces
Monday, September 14, 2015
LSTM Networks
Friday, August 28, 2015
Thursday, August 20, 2015
On JavaScript memory management
Introduction to Markov chain
Tuesday, August 11, 2015
Tuesday, August 04, 2015
INJOIT vol. 3, no. 8
International Journal of Open Information Technologies Vol 3, No 8 (2015)
Applied mathematics
Intensification of search domain contraction in non-uniform covering method (1-7)
Modern programming issues
The case tool for software structure and metrics visualization in 3D space (8-16)
Telecommunication technologies and computer networks
On Model of Information System Based on push-notifications (17-29)
Control of transport routes via mobile phones (30-39)
On telecom services and the DISN evolution (40-47)
Big data and their applications
On Big Data Stream Processing (48-51)
Friday, July 31, 2015
Sunday, July 26, 2015
Introduction to Monte-Carlo
Friday, July 17, 2015
On Mobile Wireless Tags
The subject of the article refers to services of mobile networks related to a context. We are examining the questions of the development of mobile services employing wireless tags. In addition to this, a new model of usage (application) of Core Bluetooth devices is offered. In our model Bluetooth devices act as tags and are used for reference (binding) and the subsequent context-dependent determination of data available to mobile users. Mobile phones, as well as already existing devices with Bluetooth support, can be used as such dynamic tags. In this case a single mobile application is sufficient for coverage of all stages of the life cycle of contextual services. The application provides a presentation of a tag (tags) and the binding of informational content to these tags, as well as the viewing of data bound to other tags. The possible application fields are applications for retail and service organizations and context-dependent services for Smart Cities. DOI
Monday, July 06, 2015
INJOIT - call for paper
The journal is published by the OIT Lab (Open Information Technologies Lab, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University).
Indexing: Google Scholar, DOAJ, Ulrich's Periodicals Directory, ResearchBib, Elibrary.ru (RINC)
See also our archive
Friday, July 03, 2015
Memory leaks in JavaScript
As soon as more and more the modern applications are deployed on the web, JavaScript has become a mainstream programming environment. JavaScript applications nowadays are big programming systems. We can mention here web portals, online games, graphics, media management, and even data science. Of course, the memory management is a very important problem, especially, for the dynamic programming languages. In this paper, we provide a survey of memory leaks patterns in JavaScript.
Thursday, June 25, 2015
GeoInt 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is GeoInt symposium, Washington, DC 2015
Twitter Live Feed: GeoInt Congress 2015
Tuesday, June 09, 2015
Network Proximity in Web Applications
In this paper, we discuss one approach for development and deployment of web sites (web pages) devoted to the description of objects (events) with a precisely delineated geographic scope. This article describes the usage of context-aware programming models for web development. In our paper, we propose mechanisms to create mobile web applications which content links to some predefined geographic area. The accuracy of such a binding allows us to distinguish individual areas within the same indoor space. Target areas for such development are applications for Smart Cities and retail.
Wednesday, June 03, 2015
LBS Event
We continue to share links for monitoring the interesting events in Twitter. Now it is LBS Event, London 2015
Twitter Live Feed: LBS Event 2015
Saturday, May 30, 2015
Data Science Books
We would like one more: Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. Many of the errors are prevalent in vast swaths of the published literature, casting doubt on the findings of thousands of papers. Statistics Done Wrong assumes no prior knowledge of statistics, so you can read it before your first statistics course or after thirty years of scientific practice.
See here more free Data Science books
Tuesday, May 26, 2015
Friday, May 08, 2015
Wednesday, May 06, 2015
Geo-location for Telecom Operators
This paper presents location based service for telecom providers. Most of the location-based services in the mobile networks are introduced and deployed by Internet companies. It leaves for telecom just the role of the data channel. Telecom providers should use their competitive advantages and offer own solutions. In this paper, we discuss the sharing location information via geo-messages. Geo messages let mobile users share location information as signatures to the standard messages (e.g., email, SMS). Rather than let some service constantly monitor (poll) the user location (as the most standalone services do) or share location info within any social circle (social network check-in, etc.) The Geo Messages approach lets users share location data on the peer to peer basis. Users can share own location info with any existing messaging systems. And messaging (e.g., SMS) is the traditional service for telecom.
Friday, April 24, 2015
Bluetooth Data Points
You can read the paper here.
Sunday, April 19, 2015
Thursday, April 16, 2015
Tuesday, April 14, 2015
Tuesday, April 07, 2015
Statistics about Big Data
Btw, if you need just one rule about data analysis, then it is very simple: "plot your data".
Tuesday, March 31, 2015
On Mobile Mesh Networks
Saturday, March 28, 2015
Tuesday, March 24, 2015
Metadata in SDN API
This paper discusses the system aspects of development of applied programming interfaces in Software-Defined Networking (SDN). Almost all existing SDN interfaces use so-called Representational State Transfer (REST) services as a basic model. This model is simple and straightforward for developers, but often does not support the information (metadata) necessary for programming automation. In this article, we cover the issues of representation of metadata in the SDN API.
Monday, March 23, 2015
Friday, March 20, 2015
Monday, March 09, 2015
Thursday, March 05, 2015
On Indoor Positioning
This paper presents the survey of the modern indoor positioning technologies and systems. We discuss Wi-Fi and Bluetooth based positioning systems, light-based and magnetic field systems. It is our first attempt to classify indoor positioning techniques. We try to highlight the advantages and disadvantages of various indoor positioning technologies and systems, compare their accuracy, applicability, working principles and performance parameters.
Monday, March 02, 2015
4YFN
We continue to share links for monitoring the interesting events in Twitter. Now it is 4 Years From Now, Barselona 2015
Twitter Live Feed: 4YFN 2015
Wednesday, February 25, 2015
Activity Monitoring
In this short paper we consider the problem of monitoring physical activity in the smart house. The authors suggested a simple device that allows medical staff and relatives to monitor the activity for older adults living alone. This sensor monitors the switching-on of electrical devices. The fact of switching is seen as confirmation of physical activity. It is confirmed by SMS notifications to observers.
Tuesday, February 24, 2015
Bluetooth in cars
Thursday, February 19, 2015
On Mobile Bluetooth Tags
This paper presents a new approach for hyper-local data sharing and delivery on the base of discoverable Bluetooth nodes. Our approach allows customers to associate user-defined data with network nodes and use a special mobile application (context-aware browser) for presenting this information to mobile users in proximity. Alternatively, mobile services can request and share local data in M2M applications rely on network proximity. Bluetooth nodes in cars are among the best candidates for the role of the bearing nodes.
StrataHadoop 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is Strata + Hadoop World, San Jose 2015
Twitter Live Feed: StrataHadoop 2015
Thursday, February 12, 2015
INJOIT CFP
The journal is published by the OIT Lab (Open Information Technologies Lab, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University).
Indexing: Google Scholar, DOAJ, Ulrich's Periodicals Directory, ResearchBib, Elibrary.ru (RINC)
See also our archive
Startup Europe Summit 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is Startup Europe Summit, Berlin 2015
Twitter Live Feed: Startup Europe Summit 2015
Friday, February 06, 2015
Loca 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is Loca Conference, Munich 2015
Twitter Live Feed: Loca 2015
Thursday, February 05, 2015
Sunday, February 01, 2015
Forecasting: principles and practice
Thursday, January 29, 2015
ConnecteDriver 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is ConnecteDriver, Brussels 2015
Twitter Live Feed: ConnecteDriver 2015
Tuesday, January 27, 2015
On Geo Signatures
This paper summarizes definitions and uses cases for the sharing location information via geo messages. Geo messages let users of location based systems share location information as signatures to the standard messages (e.g., email, SMS).
Monday, January 26, 2015
Saturday, January 24, 2015
Friday, January 23, 2015
Learn Data Science
Monday, January 19, 2015
DLD 2015
We continue to share links for monitoring the interesting events in Twitter. Now it is DLD Conference, Munich 2015
Twitter Live Feed: Munich 2015
Friday, January 16, 2015
Cars as Tags
This paper presents a new approach for hyperlocal data sharing and delivery on the base of discoverable Bluetooth nodes. Our approach allows customers to associate user-defined data with network nodes and use a special mobile application (context-aware browser) for presenting this information to mobile users in proximity. Alternatively, mobile services can request and share local data in M2M applications rely on network proximity. Bluetooth nodes in cars are among the best candidates for the role of the bearing nodes.
P.S. You can see also our presentation
Thursday, January 15, 2015
Friday, January 09, 2015
Machine Learning ebooks
1. The LION Way: Machine Learning plus Intelligent Optimization
Author/s: Roberto Battiti, Mauro Brunato
Publisher: Lionsolver, Inc., 2013
Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex problems. This book is about increasing the automation level and connecting data directly to decisions and actions.
2. A Course in Machine Learning
Author/s: Hal Daumé III
Publisher: ciml.info, 2012
This is a set of introductory materials that covers most major aspects of modern machine learning (supervised and unsupervised learning, large margin methods, probabilistic modeling, etc.). It's focus is on broad applications with a rigorous backbone.
3. A First Encounter with Machine Learning
Author/s: Max Welling
Publisher: University of California Irvine, 2011
The book you see before you is meant for those starting out in the field of machine learning, who need a simple, intuitive explanation of some of the most useful algorithms that our field has to offer. A prelude to the more advanced text books.
4. Bayesian Reasoning and Machine Learning
Author/s: David Barber
Publisher: Cambridge University Press, 2011
The book is designed for final-year undergraduate students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basics to advanced techniques within the framework of graphical models.
5. Introduction to Machine Learning
Author/s: Amnon Shashua
Publisher: arXiv, 2009
Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Author/s: T. Hastie, R. Tibshirani, J. Friedman - Springer, 2009
This book brings together many of the important new ideas in learning, and explains them in a statistical framework. The authors emphasize the methods and their conceptual underpinnings rather than their theoretical properties.
7. Reinforcement Learning
Author/s: C. Weber, M. Elshaw, N. M. Mayer
Publisher: InTech, 2008
This book describes and extends the scope of reinforcement learning. It also shows that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional controllers.
8. Machine Learning
Author/s: Abdelhamid Mellouk, Abdennacer Chebira
Publisher: InTech, 2009
Neural machine learning approaches, Hamiltonian neural networks, similarity discriminant analysis, machine learning methods for spoken dialogue simulation and optimization, linear subspace learning for facial expression analysis, and more.
9. Reinforcement Learning: An Introduction
Author/s: Richard S. Sutton, Andrew G. Barto
Publisher: The MIT Press, 1998
The book provides a clear and simple account of the key ideas and algorithms of reinforcement learning. It covers the history and the most recent developments and applications. The only necessary mathematical background are concepts of probability.
10. Gaussian Processes for Machine Learning
Author/s: Carl E. Rasmussen, Christopher K. I. Williams
Publisher: The MIT Press, 2005
Gaussian processes provide a principled, practical, probabilistic approach to learning in kernel machines. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics.
11. Machine Learning, Neural and Statistical Classification
Author/s: D. Michie, D. J. Spiegelhalter
Publisher: Ellis Horwood, 1994
The book provides a review of different approaches to classification, compares their performance on challenging data-sets, and draws conclusions on their applicability to realistic industrial problems. A wide variety of approaches has been taken.
12. Introduction To Machine Learning
Author/s: Nils J Nilsson, 1997
This book concentrates on the important ideas in machine learning, to give the reader sufficient preparation to make the extensive literature on machine learning accessible. The author surveys the important topics in machine learning circa 1996.
13. Inductive Logic Programming: Techniques and Applications
Author/s: Nada Lavrac, Saso Dzeroski
Publisher: Prentice Hall, 1994
This book is an introduction to inductive logic programming. It covers empirical inductive logic programming with applications in knowledge acquisition, inductive program synthesis, inductive data engineering, and knowledge discovery in databases.
14. Practical Artificial Intelligence Programming in Java
Author/s: Mark Watson
Publisher: Lulu.com, 2008
The book uses the author's libraries and the best of open source software to introduce AI (Artificial Intelligence) technologies like neural networks, genetic algorithms, expert systems, machine learning, and NLP (natural language processing).
15. Information Theory, Inference, and Learning Algorithms
Author/s: David J. C. MacKay
Publisher: Cambridge University Press, 2003
A textbook on information theory, Bayesian inference and learning algorithms, useful for undergraduates and postgraduates students, and as a reference for researchers. Essential reading for students of electrical engineering and computer science.
INJOIT - call for papers
The journal is published by the OIT Lab (Open Information Technologies Lab, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University).
Indexing: Google Scholar, DOAJ, Ulrich's Periodicals Directory, ResearchBib, Elibrary.ru (RINC)
See also our archive