On a New Approach to Neighbor Discovery as Data Sharing Tool

In this paper, we propose and discuss a new approach to data sharing among mobile subscribers. Our idea is to use the neighbor discovery phase in wireless networks. It simulates a peer-to-peer network that will work without any telecommunication infrastructure. A single mobile phone (smartphone) will be sufficient both for creating a node of such telecommunication network and for publishing (distributing) information. What is important here, the usage of the standard neighbor discovery mechanism does not assume the preloading some mobile applications. Our idea is to share user-defined information during the basic neighbor discovery phase. In this case, the parties involved in the process should be able to read the shared data directly from the process of discovering for neighboring nodes. Our proposal is the further development of ideas related to context-aware systems based on network proximity principles. - from our new paper

OD matrices in transport tasks

The paper considers the analysis of data in so-called origin-destination matrices. Also in relation to them often use the term matrix of correspondence. As practical examples, we are using data from Moscow metro and Moscow suburb railways. The correspondence matrix shows the number of trips between two points (stations) for a selected time interval. Theoretically, such data being calculated for the given time intervals describe all the characteristics of the passenger load. But practically, it depends on the existing models for traffic. Currently, such data used, mostly, just to calculate simple statistics. But such a simplified approach completely ignores the temporal characteristics of the traffic. In this paper, we discuss data mining models and approaches for origin-destination matrices analysis. Also, we describe the results of applying such approaches to analyzing data from the Moscow region.

from our new paper: On Processing of Correspondence Matrices in Transport Systems

On Physical Web for Social Networks

The article discusses the use of Physical Web approaches for the expansion of social networks. This implies the presentation of data from social networks in a real (physical) context, as well as the inverse task of using information about a real physical context in querying and analyzing data from social networks. First of all, mobile phones of social network users are considered as real objects that will be used both in data dissemination and in gathering information about the context. In this case, the purpose of consideration is to build a “natural” extension, when the implementation does not require the creation of a special type of social network entries. The general scheme or model of implementation is based on the minimization (or even complete absence) of requesting additional rights to access the social network, the absence of marks in the social network, and the use of basic functionality and standard protocols for mobile devices.

From our new paper: Namiot D., Sneps-Sneppe M. (2019) On Physical Web for Social Networks. In: Vishnevskiy V., Samouylov K., Kozyrev D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Communications in Computer and Information Science, vol 1141. Springer, Cham

On mobility patterns in Smart City

The article is devoted to the analysis of transport data in the Moscow region, which was used in the design of new urban rail lines. Mobility (smart mobility) is one of the main characteristics of a smart city. Understanding how residents in a city actually move is necessary for the reliable provision of transport services, the construction of new transport lines, etc. Understanding patterns of displacement allows you to identify anomalies in urban displacements, which are evidence of some changes in the urban environment. The basis for the analysis is the data of mobile operators and information on the use of travel documents. - from our new paper

On Enterprise Information Systems and Cyber Threats

The main goal of the paper is to look for new university courses regard Russian digital economy program, which is oriented to the end-to-end digital technologies, including: Big Data; neuro-technologies and artificial intelligence; quantum technologies; industrial internet; robotics and sensory; wireless communication; technologies of the virtual and complemented realities. According to the newer Pentagon activities, the key attention in the field of Information Systems has turned to Cloud Strategy and Artificial intelligence. This Pentagon's new strategy was developed after the serious critics of the current state, namely, the shortcomings with Joint Information Environment and its key cyber-security equipment - Joint Regional Security Stacks. Two-side difficulties for DoD modernization are discussed: from one side, the vendors' pressure introduce the latest achievements, namely, Software Defined Network and Network Function Virtualization, and from another, it is difficult to abandon the old technology, as time-division multiplexing, asynchronous transfer mode equipment, signaling protocol SS7 and Advanced Intelligent Network - our presentation from ICUMT 2019

The curse of software

For shifting from circuit switching to packet switching in telecommunications, the main obstacle is excessive software. Our presentation "The curse of software: Pentagon telecommunications case"

Channel Switching Protocols Hinder the Transition to IP World

In this paper, we target the strategy for telecommunications architectures during the transition to the IP-only models. The paper discusses the shifting from circuit switching to packet switching in telecommunications. Particularly, we analyze the coexistence of circuit switching and packet switching technologies in American military communications where each warfare object should have own IP address. The paper discusses the role of multifunction Soft Switches (MFSS). This Soft Switch plays the role of a media gateway between TDM channels and IP channels. As a case, we are passing through the transformation from SS7 signaling to internet protocol, ISDN-based government Defense Red Switch Network and, finally, the extremely ambitious cybersecurity issues and the cyber vulnerabilities of weapons found by Government Accountability Office. We conclude the growing cyber threats will provide a long-term channel-packet coexistence.

from our new paper

On proximity information systems

The paper discusses the replacement of well-known conception of geo-information systems with a new model based on proximity. Geo-information systems have attracted great attention and have received great development in recent times. The reasons for this are fairly obvious. On the one hand, services are required by users, primarily at their location, and on the other hand, location determination has become easy, especially in connection with the proliferation of smartphones. But at the same time, the actual geographic coordinates are not needed by the majority of such services. Coordinates are used only for searching and organizing data. While the actual assignment of most services is a search for data (services) bound by these coordinates to a spe cific area. In other words, in most cases, service is meant data near the current location. Hence the idea to build services directly on the assessment of proximity, completely bypassing the work with coordinates. It also makes possible completely new services, especially in the technical field (for example, in transport, agriculture, etc.).

from our new paper

On Content Models for Proximity Services

First time introduced in Release 12 of the 3GPP specifications, Proximity Services (ProSe in the above-mentioned specification) is a Device-to-Device (D2D) technology that allows two devices to detect each other and to communicate directly without traversing the Base Station or core network. In other words, it is a technology that is oriented (ultimately) on the direct connection of two devices. In this article, we are promoting the idea that proximity services are more than just support for a direct connection (in fact, search for candidates for a direct connection). The paper discusses content models (that is, information dissemination models) based on proximity data. In this case, a direct connection is simply one of the possible options for disseminating information.

Our new paper from FRUCT conference

Bikes in Smart Cities

Our new paper: On Bikes in Smart Cities

In this paper, we discuss data models and data mining for bicycles in Smart Cities. Mobilityissues (or Smart Mobility) are one of the main components of Smart Cities. Bicycles, as a transportcomponent in the cities, are on the rise all over the world. At least, it is true for all areas where the cli-mate even minimally allows it. The reasons are quite obvious. This is democratic and accessible thistype of transport, it is cheap and environmental friendliness. Of course, the promotion of a healthylifestyle also plays its role. The development of this type of transport (like any other) has many differentaspects. In this paper, we dwell on the issues of tracking the movement of cyclists and planning bike-sharing systems. All this information will serve as a set of metrics for any design in Smart Cities.

Read it here

Time series on railways

The article analyzes the patterns of use of railway stations in the Moscow region. The basis for the analysis is the data of smart cards on the entrances and exits of passengers. The technical tool is time series similarity analysis. As a result, the work identifies the main patterns of user behavior on the use of railway stations (railway transport). The results of the work were used in the design of new lines of urban railways. Obviously, the use patterns reflect the current state of the transport system and the urban environment. Accordingly, the recorded changes in usage patterns can serve as indicators and metrics for changes in the urban environment. Our paper in Arxiv

History of R

The story of a statistical programming language that became a subcultural phenomenon

Open PhD positions

Announcement: 15 PhD positions fully funded for 3 years within A-WEAR Joint Doctorate Network

Target audience: fresh MSc graduates in various engineering fields (who have completed their first master no earlier than Fall 2015 or who will soon complete their MSc) and who are passionate about pursuing a PhD in a research field of high relevance to today’s society (wearable computing & IoT).

Job description: fully funded 36 months PhD positions towards double/joint PhD programs in 5 top European technical universities in Finland, Italy, Spain, Czech republic, and Romania
Gross salary (approx. in EUR/month): 3600 (FI), 2800 (ES), 2000 (RO), 2400 (CZ), 2900 (IT)
Application deadline: 28th of February 2019

Starting time of the PhD: Fall 2019

Selection criteria: Study records Bsc + Msc (20%); Work & research experience (15%); Motivation (20%); Clarity, relevance, innovativeness, and technical soundness of the ’Dissertation Essay’ (25%); Letters of recommendation (10%); Positive attitude, previous mobility experience, good communication skills (10%); English proficiency: fail/pass criterion.

We strive to improve the gender balance in our research groups and encourage female candidates to apply. At the end of the evaluation process, the recruitment committee will decide which candidates to select for each project, taking into account the candidates’ preferences and potential. In case of equal qualifications between a male and a female candidate for the final position, the balance at network level may affect the decision.

More information and link to the application page: www.a-wear.eu/recruitment or https://euraxess.ec.europa.eu/jobs/364125

Machine learning in software development

The subject of the article is the “coding style” concept and the main approaches to detecting the individual style of a programmer. The entire process of creating a software product from this point of view and the main features of programming style are analyzed. It emphasizes the relevance and commercial significance of the problem in terms of product support, plagiarism, work of a large developer’s community in a single repository, an evolution of developer skills. Computational stylometry issues, a possibility of using programming paradigms as an additional factor of style identification are considered. It offers the idea of creating a software tool that allows to identify the style of the author who wrote a particular program fragment and allows less experienced developers to follow the rules accepted in the major part of the repository and determined by coding style of "experts", which leads the code to a uniform format that is easier to maintain and make adjustments. Globally, this stage of analyzing the original (and then the modified code) allows improving the existing algorithms for automatic synthesis of programs.

Our new paper: Using Machine Learning Methods to Establish Program Authorship

Data Mining on the Use of Railway Stations

Our new paper: Data Mining on the Use of Railway Stations

This article deals with the processing of data on the entrances and exits of passengers for railway stations in Moscow and the suburbs. Smart transport cards are used worldwide in transport applications as a payment tool. So, for railways (cities) its usage creates the big and constantly updated collections of transactions data from cards validation equipment. The deployment model for railways in Moscow region allows us to know exactly the starting and ending points of the each route. This detailed information allows us to obtain generalized information on the modes (models) of the actual use of the railway transport. The detected travel patterns could be mapped to the model of the social and economic behavior of residents of the capital region. And vice versa, we can use known artifacts of the behavior of the inhabitants of the region as the search patterns for transport data.The conclusion that mobility is one of the main characteristics and one of the key components of a smart city is a well-known fact.

Data Science Books

10 Free Must-Read Books for Machine Learning and Data Science

On Proximity-Based Information Delivery

In this paper, we propose and discuss one approach to a data sharing among mobile subscribers. Our idea is to use the identification of wireless networks to simulate some analogue for a peer-to-peer network that will work in the absence of telecommunications infrastructure. A single mobile phone (smartphone) will be sufficient both for creating a node of such telecommunications network and for publishing (disseminating) information. Our proposal is the further development of ideas related to context-aware systems based on network proximity principles. The proposed model allows mobile users to create information hubs directly at the location of the mobile phone of the publisher, which will distribute information for mobile subscribers in the immediate vicinity of it. Our new paper.

On transport models

On Passenger Flow Estimation for new Urban Railways

In this paper, we discuss the questions, associated with the forecast for passenger traffic for urban railways. The aim of the study is to select and verify the model for predicting passenger traffic of new urban railways. The article is based on the practical tasks implemented during the project phase for new urban railways in Moscow, Russia. We are considering data sources for building the forecast, as well as practical models that can be used to obtain numerical estimates. Among the discussed data sources, we target migration data that can be collected with the help of telecommunications operators, and information on the use of public transport, obtained from the validation of transport cards. Also, in this paper, we investigate the metrics for traffic along the new city rail line, which can be determined on the basis of the projected passenger traffic. The result of the work was the constructed model of the transport behavior of passengers, taking into account the availability of new urban railways and a set of metrics for assessing the functioning of this transport tool.

Use cases for time series database

Axibase Time Series Database: Usage Examples and Research Articles

See more about time series databases

On machine learning speculations

In this paper, we focus on the following four patterns that appear to us to be trending in ML scholarship:

Failure to distinguish between explanation and speculation.
Failure to identify the sources of empirical gains, e.g. emphasizing unnecessary modifications to neural architectures when gains actually stem from hyper-parameter tuning.
Mathiness: the use of mathematics that obfuscates or impresses rather than clarifies, e.g. by confusing technical and non-technical concepts.
Misuse of language, e.g. by choosing terms of art with colloquial connotations or by overloading established technical terms.

from here

More Data Science Books

10 More Free Must-Read Books for Machine Learning and Data Science

5G and Digital Economy

Our presentations from 22st Conference of Open Innovations Association FRUCT:

On 5G projects for urban railways and Russian Digital Economy program

On Digital Economy Issues Looking From the Information Systems Viewpoint

Papers from conrefence: here и here

AI book

Artificial Intelligence: A Modern Approach

Data Science Books

Yet another good collection of free data science books

Procurement assessment

The Art of Service's Procurement Standard Requirements Excel Dashboard and accompanying eBook is for managers, advisors, consultants, specialists, professionals and anyone interested in Procurement assessment. You can see it here

AIST-SUP 2017

Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27 - 29, 2017

SAS on ML

Which machine learning algorithm should I use?

P.S. see more posts about machine learning

IoT education

Our new paper:

Namiot D., Sneps-Sneppe M., Daradkeh Y. On internet of things education // Open Innovations Association (FRUCT), 2017 20th Conference of. — Piscataway, NJ, United States: Piscataway, NJ, United States, 2017.

In this paper, we discuss educational courses for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things models introduce many new business prospects and, of course, they should be presented in the university curriculum. The purpose of the discussed educational program is to examine issues related to information and communication technologies used in Internet of Things projects and related areas based on them, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information technology, standing for such areas as Machine to Machine communications, Internet of Things, and Smart Cities

ICTIR 2017

We continue to share links for monitoring the interesting events in Twitter. Now it is The 3rd ACM International Conference on the Theory of Information Retrieval, Amsterdam 2017

Twitter Live Feed: ICTIR 2017

/via Bluetooth Data Points

Mobility on demand

An interesting paper: Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems

On Search Services for Internet of Things

The Internet of Things (IoT) data services are designed to be available to other services and users by demand. In other words, in practice, the services should be available at any time and at any location. But the big question here is how the other parties become aware of existing services. Sure, for some use cases we could have a static map of available services. But of course, it does not cover all the possible IoT deployment scenarios. So, the search (discovery) should be one of the keys for Internet of Things. And we can see here the whole analogue with the Internet itself. But for Internet of things, we will face a lot of challenges for search services. For example, we will see a lot of resources (billions of devices), heterogeneity, dynamic nature of services, streaming data, etc. In this paper, we discuss existing approaches for implementing IoT search, as well as approaches for setting standards in this area. See our new paper here.

On Mobile Cloud Computing

Our new paper: On context-aware proxy in Mobile Cloud computing for emergency services

In this paper, we discuss a new model for context-aware computing in 5G networks in the context of emergency services. Our intention is to present a new model for mobile services (mobile web applications) that effectively harnesses the power of 5G networks. The true power of 5G networks is to enable applications that were previously not possible. In our model, we create a mirror (duplicate copy) for mobile sensing data and allow server-side processing effectively use context information during the processing. As a result, we propose a cloud-based context-aware proxy targeting proximity related applications and services.

On Internet of Things education

Our new paper On Internet of Things and Big Data in University Courses

In this paper, we discuss Internet of Things educational programs for universities. Our final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, we discuss Big Data issues for IoT course and explain the importance of data engineering.

RTUWO 2017

Conference on Advances in Wireless and Optical Communications 2017 http://rtuwo.org

Riga, Latvia
2-3 November 2017

Call for papers

Proceedings of the Conference will be published in IEEE Xplore Digital Library and indexed by SCOPUS.

The need for a new communication systems to cope with the demand of new services demanding higher performance, larger throughput, wider bandwidth and lower bit-error-rates, requires the development of new methodologies and techniques. Scientific conference RTUWO'17 is focused on the new techniques extending limits of currently used communication systems. The conference seeks submissions from academia, industry, and government institutions presenting novel research on wireless and optical communication systems. Conference calls for papers describing practical implementation activities, results and issues. Papers describing novel paradigms, original directions, or non-traditional perspectives are also encouraged. Topics of interest include, but are not limited to, the following:

1. Wireless communications

1.A. Technologies:

Software-defined radio and cognitive radio
Signal processing for wireless communications
Energy efficiency and power management
Smart and mobile antennas and propagation
Practical implementation issues and performance evaluation
Spectrum management and regulatory issues
Electromagnetic energy harvesting
Global and local positioning systems in wireless networks

1.B. Networking:

Intelligent transportation system and vehicular communications
Wireless sensor networks
Machine-to-machine communications
MAC layer and routing protocols
Ad-hoc and cell-based networking
Multiple access and scheduling
Cooperative and distributed communications
Radio resource allocation, bit allocation, power allocation
Performance analysis, QoS and network management
Cross-layer optimization
Advanced wireless network technologies, architectures
Cellular-Wi-Fi Integration and interworking
Traffic analysis of wireless networks

1.C. Wireless PHY:

Advanced MIMO techniques
Ultra-wideband communications
Multicarrier communications
Channel characterization
Channel coding
Acoustic communication systems
Physical layer security

2. Optical communications

Optical Signal Processing
Advances in Optical Networking
Photonic Communications Systems and Networks
High-speed Optical Communications systems and devices
All-Optical Communication Systems
Passive optical networks
Active optical networks
Energy-Efficient and Spectral-Efficient Optical Communication Systems
Microwave Photonics
Optical MIMO
Radio over Fiber (RoF) and Wireless over Fiber (WoF) systems
Optical Fibers and Fiber Devices for Optical Communications
Optical Amplifiers
Modeling and Optimization of Optical Communication Networks
Optical sensors technologies
Optical network management
Software-defined networks
Visible light communication

Important dates

Paper submission due: August 1, 2017
Notification to authors: September 10, 2017
Camera ready due: October 8, 2017

Registration fee

Participation in the conference and publication of the accepted paper in IEEE Xplore Digital Library is free of charge. The financial sponsor of the conference is Riga Technical University. Venue

Conference will be held at the Faculty of Electronics and Telecommunications of Riga Technical University, Riga, Latvia. Riga is a wonderful ancient Hanseatic city on the coast of Baltic sea. Conference event on the vital combination of wireless and optical communications offers an excellent opportunity to network with specialists and forge new friendships and cooperation with colleagues in Europe, Asia and worldwide.

History

RTUWO is held annually from 2015. Each year in the conference more than 50 high quality papers are presented.

Contact

Please direct all correspondence to Dr. Arturs Aboltins, Riga Technical University,
Azenes 12, Riga, Latvia, LV-1048
Email: rtuwo@rtu.lv
Tel: +371 26 557 340.
As more information becomes available, it will be published at the RTUWO'17 Conference web page rtuwo.org.

ANN & Applications

A good reading - Overview of Artificial Neural Networks and its Applications

On Mobile Crowdsensing

Our new paper: On Data Persistence Models for Mobile Crowdsensing Applications

In this paper, we discuss various models and solutions for saving data in crowdsensing applications. A mobile crowdsensing is a relatively new sensing paradigm based on the power of the crowd with the sensing capabilities of mobile devices, such as smartphones, wearable devices, cars with mobile equipment, etc. This conception (paradigm) becomes quite popular due to huge penetration of mobile devices equipped with multiple sensors. The conception enables to collect local information from individuals (they could be human persons or things) surrounding environment with the help of sensing features of the mobile devices. In our paper, we provide a review of the data persistence solutions (back-end systems, data stores, etc.) for mobile crowdsensing applications. The main goal of our research is to propose a software architecture for mobile crowdsensing in Smart City services. The deployment for such kind of applications in Russia has got some limitations due to legal restrictions also discussed in our paper.

On Data Science blogs

What are some of your favorite data science blogs?

On Computer Science education

Our new papers, devoted to computer science education:

Namiot D., Sneps-Sneppe M., Daradkeh Y. On internet of things education // Proceedings of the FRUCT’20. — Saint-Petersburg Electrotechnical University “LETI” and Technopark of ITMO University, Saint-Petersburg, Russia. FRUCT Oy, Finland ISSN 2305-7254, ISBN 978-952-68653-0-0, 2017. — P. 309–315.

Namiot D., Sneps-Sneppe M., Daradkeh Y. On internet of things education // Proceedings of the FRUCT’20. — Saint-Petersburg Electrotechnical University “LETI” and Technopark of ITMO University, Saint-Petersburg, Russia. FRUCT Oy, Finland ISSN 2305-7254, ISBN 978-952-68653-0-0, 2017. — P. 309–315.

On Internet of Things education

On Internet of Things education from Coldbeans Software

Foundation of Data Science

A must read book Foundations of Data Science by Avrim Blum, John Hopcroft and Ravindran Kannan. 2016

DAMDID 2017

«Data Analytics and Management in Data Intensive Domains» conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content.

Call for papers

Mobile World Congress

We continue to share links for monitoring the interesting events in Twitter. Now it is MWC 2017, Barselona, 2017

Twitter Live Feed: MWC 2017

/via Bluetooth Data Points

Statistics in pictures

A visual introduction to probability and statistics

On Interenet of Things Programming models

In this paper, we present the review of existing and proposed programming models for Internet of Things (IoT) applications. The requests by the economy and the development of computer technologies (e.g., cloud-based models) have led to an increase in large-scale projects in the IoT area. The large-scale IoT systems should be able to integrate diverse types of IoT devices and support big data analytics. And, of course, they should be developed and updated at a reasonable cost and within a reasonable time. Due to the complexity, scale, and diversity of IoT systems, programming for IoT applications is a great challenge. And this challenge requires programming models and development systems at all stages of development and for all aspects of IoT development. The first target for this review is a set of existing and future educational programs in information and communication technologies at universities, which, obviously, must somehow respond to the demands of the development of IoT systems.

See our new paper here

100 Data Science books

A good collection 100+ Free Data Science Books for 2017

On Bluetooth proximity

In this article, we consider a service model based on network proximity and using Bluetooth. In this connection, we consider services based on the Core Bluetooth as well as services based on Bluetooth Low Energy. In particular, we present our vision on the applicability of Bluetooth Low Energy for positioning applications. This paper also provides specific models for Bluetooth network proximity based services and applications. The content of this paper generalizes our previous research articles in the field of network proximity and Physical Web and presents the experience gained during the implementation of a number of practical projects that use services based on network proximity.

from our new paper: On Bluetooth proximity models

Mobile Cloud for Smart Cities

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.

Our new paper in International Journal of Online Engineering

The basics of Neural Networks

A Visual and Interactive Guide to the Basics of Neural Networks

On Internet of Things programming models

On Internet of Things programming models from Coldbeans Software

On Smart City Platform

Our paper about plaforms for Smart Cities

Smart City Expo

We continue to share links for monitoring the interesting events in Twitter. Now it is Smart City Expo World Congress, Barselona 2016

Twitter Live Feed: Smart City Expo 2016

/via Bluetooth Data Points

On Data Science Interview

A Curated List of Data Science Interview Questions

On Standards for Application Level Interfaces in SDN

In this paper, authors discuss application level interfaces for Software Defined Networks. While the Application Programming Interfaces for the interaction with the hardware are widely described in Software Defined Networks, the software interfaces for applications received far less attention. However, it is obvious that interfaces to software applications are very important. Actually, application level interfaces should be one of the main elements in Software Defined Networks. It is a core feature. In this article, we want to discuss the issues of standardization of software interfaces for applications in Software Defined Networks area. Nowadays, there are several examples of unified Application Program Interfaces in the telecommunications area. Is it possible to reuse this experience for Software Defined Networks or Software Defined Networks standards are radically different? This is the main question discussed in this paper.

Yousef Ibrahim Daradkeh, Mujahed Aldhaifallah, Dmitry Namiot and Manfred Sneps-Sneppe, “On Standards for Application Level Interfaces in SDN” International Journal of Advanced Computer Science and Applications(IJACSA), 7(10), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071006

Stay aware in Data Science

A good coolection for the regular reading in Data Science: How I stay aware of the latest in data science

AI lectures

MIT Open CourseWare - 23 lectures on Artificial Intelligence

/via Search for online courses

Foundations of Data Science

One of the best books - Mathematics behind Data Science

Python Data Mining

Data Mining in Python: A Guide

Hypercat16

We continue to share links for monitoring the interesting events in Twitter. Now it is Hypercat16 Summit, London 2016

Twitter Live Feed: Hypercat 2016

/via Bluetooth Data Points

Free Exploratory Data Analysis Tools

The title says all: Free Exploratory Data Analysis Tools For People who don’t code so well.

On Causality

A good read: A Technical Primer On Causality

Free ebooks

Data Ebook Archive - an archive of all O'Reilly data ebooks is available below for free download. Dive deep into the latest in data science and big data, compiled by O'Reilly editors, authors, and Strata speakers.

On telecom services

Communication specialists around the world are facing the same problem: shifting from circuit switching to packet switching. Network paradigm shift means the transition from Signal System Seven (SS7) signaling to Internet Protocol (IP). SS7 is a set of protocol standards that controls signaling for the public switched telephone network, allowing mobile carriers around the world to pass information across their networks. The transition to IP assumes that the IP protocol will be the only means of communication between the transport layer and applications. Telecom services evaluation due to the transition from Time-division multiplexing network to IP are considered.

from our latest paper On telecom services evaluation

Gradien boosting

A great visualization for Gradient Boosting

BLE guard

It is a side effect from our experiments with Bluetooth Low Energy tags. See our program BLE guard for Android. You can download it here: http://servletsuite.com/BLECop.apk

The idea of the app is in the continuous scanning (determining of accessibility) for tags and issuing alerts when some changes in the environment are detected. For example, a tag is gone. Or a new tag appears. During the first scan cycle, the app remembers the 'visible’ tags. If during the next consecutive scan any tag is missed, then the application activates the sound alarm and vibration. The typical use cases are:

• You place the tag in your suitcase. If suitcase is “leaving” you – the phone will notify
• Your tag is a bracelet (the collar of the animal). If the bearer of the bracelet moves away from the phone – the phone will notify

And so on.

Also, you can specify the phone number that will receive SMS notification with tag’s loss information. This can be used, for example, for such models: the phone is in the car and the scanner will remember the tags around on the parking slot. If your car gets taken away (evacuated), the phone sends an SMS to a specified number.

By default phone number is blank and application uses only beep and vibration.

10 ML

10 algorithms for Machine Learning

Conditional probability

A nice visualization for conditional probability

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

/via Bluetooth Data Points

Statistics textbook

An excellent resource - free statistics textbook

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

/via Bluetooth Data Points

12 methods

A good idea - collect some minimal required background for data science: 12 Statistical and Machine Learning Methods that Every Data Scientist Should Know

On Physical Web models

On Physical Web models from Coldbeans Software

On Mobile Cloud for Smart City Applications

Manfred Sneps-Sneppe, Dmitry Namiot "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.

On Physical Web Browser

On Physical Web Browser from Dmitry Namiot

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

On data sharing in education

Yousef Ibrahim Daradkeh, Mujahed ALdhaifallah, Dmitry Namiot "On Data Sharing in Educational Processes", International Journal of Emerging Technologies in Learning, vol. 11, no. 4, 2016, pp. 28-31

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.

Nonparametric Statistics

Nonparametric Statistics course.

/via Search for courses

Data Science Books

Useful resources for the data science beginner or expert.

See more books on Coldtags Suite

On hyper-local web

Namiot, D., and M. Sneps-Sneppe. "On Hyper-local Web Pages." Distributed Computer and Communication Networks. Springer International Publishing, 2015. 11-18.

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

Browsing in the Physical Web

Dmitry Namiot, Manfred Sneps-Sneppe "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.

Probabilistic and Statistical Modeling in Computer Science

A free book: Probabilistic and Statistical Modeling in Computer Science

P.S. See more books in Coldtags suite

Lock-free programming patterns

Namiot Dmitry. On lock-free programming patterns. WSEAS Transactions on Computers, 15:117–124, 2016.

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

More about LSTM

A new set of papers aboit LSTM networks:

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

Data Science interview

On hiring Data Science staff

The Physical Web

Our new paper in arxiv: Manfred Sneps-Sneppe, Dmitry Namiot "On Physical Web models"

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.

NIPS 2015: Deep Learning

NIPS’2015 Tutorial by Geoff Hinton, Yoshua Bengio & Yann LeCun: video & slides

Machine Learning: From Theory to Algorithms

A free book for downloading: Understanding Machine Learning: From Theory to Algorithms

SMART 2016

The Fifth International Conference on Smart Cities, Systems, Devices and Technologies - SMART 2016
May 22 - 26, 2016 - Valencia, Spain

Submission deadline: Jan, 31 2016

ML presentation

A good presentation by the basics of machine leraning

DSL for IoT

Sneps-Sneppe M., Namiot D. On web-based domain-specific language for internet of things // Proceedings of the 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). — United States: United States, 2015. — P. 287–292.

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.

Chat bots in Twitter

Namiot D. Twitter as a transport layer platform // Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT), 2015. — Piscataway, NJ, United States: Piscataway, NJ, United States, 2015. — P. 46–51.

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

Chat bots in Facebook

Facebook provides API for chat bots in Messenger. I am still wondering, why Twitter does not follow to this obvious trend? We did this for Twitter several years ago

The physical web in smart cities

Namiot D., Sneps-Sneppe M. The physical web in smart cities // Advances in Wireless and Optical Communications (RTUWO), 2015. — Piscataway, NJ, United States: Piscataway, NJ, United States, 2015. — P. 46–49.

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.

DAMDID/RCDL 2015

DAMDID/RCDL 2015 - Data Analytics and Management in Data Intensive Domains

Info-bots in Twitter

Our paper in AINL-FRUCT: Twitter as a transport layer platform

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.

Markov Chains

A great explanation: Understanding Markov Chains

See here more publications about Markov Chains

Robotic War

A new paper by Manfred Sneps-Sneppe - Telecommunications and sensors in robotic war

Find online courses

Meta-search for online courses. 130+ sites.

Mining Groups of Mobile Users

A new paper: Mining Groups of Mobile Users in Int. J. of Wireless and Mobile Computing, 2015 Vol.9, No.3, pp.211 - 217

A Tour of Machine Learning Algorithms

A very good explanation: "In this post we take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of what methods are available"

Twitter as a transport

Our presentation for AINL-FRUCT conference. You can read the papre here: Namiot D. Twitter as a Transport Layer Platform //arXiv preprint arXiv:1509.06874. – 2015.

Twitter as a Transport Layer Platform from Coldbeans Software

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

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