Ilya Paramonov

Smart Spaces Enabled Mobile Healthcare Services in Internet of Things Environments

The article studies the smart spaces approach applied for development of mobile healthcare m-Health services deploying in Internet of Things IoT environments. The authors consider a reference architecture model of the service ecosystem with focus on intelligent utilization of multi-source data originated from the IoT environment. Based on the architecture the authors introduce two reference scenarios: assistance in providing the first aid and communication with the hospital information system. For the architectural model and the scenarios pilot implementations are developed on the open source Smart-M3 platform.

Improved algorithm for heart rate measurement using mobile phone camera

Nowadays a lot of different ways to measure persons heart rate are exist. One of such ways is using mobile phone. It is very easy for the person and do not require any special skills or buying special devices. All that is needed for heart rate measurement is mobile phone with on-board camera with flash equipped. In this paper we overview existing algorithms for heart rate measuring using mobile phone and propose improved algorithm, that is more efficient, than reviewed ones.

Mobile phone sensors in health applications

One of the most important device in our lives is a mobile phone. For now, it is a powerful computing platform equipped with various sensors. Embedded sensors can be used in multiple domains, such as environmental monitoring, social networks, safety and also healthcare. In this paper we survey the main use cases of mobile phone sensors in mobile healthcare. We classify the proposed mHealth sensing applications according to sensor types they use and discuss the main advantages provided by these applications.

Agent Substitution Mechanism for Dataflow Networks: Case Study and Implementation in Smart-M3

The paper continues the study of dataflow networks based on top of Smart-M3 platform. The goal is to provide support for implementation of reliable ubiquitous services based on the dataflow model. We propose agent substitution as a way to make services robust and describe behaviour and implementation aspects of the agent substitution mechanism in semantic information broker. The mechanism allows to safely transfer computational context from one agent to another preventing long service downtime when an agent unanticipatedly disconnects from the network. The potential benefit of using such a mechanism is discussed for the medical telemonitoring service.

Medicine tracker for Smart TV

In this paper we estimate relevance of Smart TV as a platform for mobile healthcare applications. Suitability estimation is based on considering the roles that Smart TV can play in mobile healthcare area and benefits it provides. On top of our analysis we propose a prototype of a mobile healthcare application. Then, we present the actual application that is being developed accordingly to these specifications. Finally, we make a conclusion about relevance of Smart TV as a platform for mHealth applications.

Thesaurus-Based Method of Increasing Text-via-Keyphrase Graph Connectivity During Keyphrase Extraction for e-Tourism Applications

The paper is devoted to solving the task of automatic extraction of keyphrases from a text corpus relating to a specific domain so that the texts linked by common keyphrases would form a well-connected graph. The authors developed a new method that uses a combination of a well-known keyphrase extraction algorithm (e.g., TextRank, Topical PageRank, KEA, Maui) with thesaurus-based procedure that improves the text-via-keyphrase graph connectivity and simultaneously raises the quality of the extracted keyphrases in terms of precision and recall. The effectiveness of the proposed method is demonstrated on the text corpus of the Open Karelia tourist information system.

Mechanism for context-aware substitution of Smart-M3 agents based on dataflow network model

Dataflow network is a concise well-understood and well-matching approach for building applications in Internet of Things (IoT) world, where a task of obtaining meaningful results in time strongly depends on efficiency of orchestration of dataflows. Processing units transform incoming signals into intermediate data suitable for further processing and analysis by using certain rules, which are further processed by the next levels of dataflow processing. As a result, the set of source signals get meaningful representation for the users or smart devices. This paper studies the reliability of dataflow networks in Smart-M3 platform - open-source platform for smart space application development. We developed a new method and implemented the corresponding mechanism for agent substitution, which allows smoothly transferring data processing from the compromised agent to a substitute. The transfer includes all details of the processing program and the computational context, so the user will not even notice the change. And when the original agent gets back to the normal working condition, the dataflow processing and new computational context is handed back to it. The developed mechanism allows to preserve the context in agent disconnection and physical device relocation situations, which are common for IoT environments.

Mechanism for robust dataflow operation on smart spaces

Smart Space applications could use different architectures during their operations. The dataflow network pattern allows to modularize the system and provide seamless support for replaceable components. One of information sources for ubiquitous environments are the sensors, whose readings are processed by a number of computational units. The sensors and processing nodes together form the dataflow network. In this paper we describe the implementation of asynchronous dataflow network on top of RDF store. Possible causes of dataflow disruption are discussed. The mechanism for maintaining network operation when data processing unit looses connection with RDF store is proposed. The corresponding modification of node operation is provided.

Automated approach for rhythm analysis of french literary texts

Rhythm analysis is widely used for texts in a poetic form to determine the individual style of the author, but rarely used in the analysis of prose due to technical problems and human factor influence. To overcome these issues we propose an automated approach that involves the development and use of specialized software for analyzing French literary prose at various stylistic levels: phonetic, lexical, and grammatical. The methods developed for rhythm analysis and implemented in the computer application cover a variety of the phonostylistic devices: calculation of the length of the rhythmic units, finding assonance, alliteration, rhyme, various repetitions, and others. Efficiency of the approach was proved experimentally by the analysis of rhythmization devices in the novels of four French writers. It was shown that the proposed automated approach allows the researcher to analyze the text 15 times faster than using the manual approach.

Context capturing in smart space applications

his paper describes a study of the role and methods for context capturing in smart spaces. The collected context information is captured for further use by pro-active services provided in user-centric service spaces. Another aspect addressed by the paper is representation of the collected context data in human-readable format. For that purpose we use collaborative mind map editor HiveMind. The developed solution for context management is illustrated by the case study. We apply the proposed method for capturing context information to the smart space application Smart Conference System and use HiveMind as user-friendly context monitoring tool.