Anton I. Saveliev

Conceptual Model of Cyberphysical Environment Based on Collaborative Work of Distributed Means and Mobile Robots

In this paper, we propose a conceptual model of a cyberphysical environment based on a new approach to distribution of sensor, network, computing, information-control and service tasks between mobile robots, embedded devices, mobile client devices, stationary service equipment, and cloud computing and information resources. The task of structural-parametric synthesis of the corresponding cyberphysical system is formalized. Methods of integer-valued programming are used for the task solution.

Integration of Corporate Electronic Services into a Smart Space Using Temporal Logic of Actions

This paper discusses integration of corporate information infrastructure components to develop an enterprise smart space that uses available resources to achieve the common goals of users. The paper proposes formalization for the smart space functioning scenarios on the basis of the temporal logic of actions, describes a multilevel model of corporate service integration and discusses the architecture of the Multimodal Information and Navigation Cloud System (MINOS).

Context-Aware Mobile Applications for Communication in Intelligent Environment

Peculiarities of communication between users and devices in intelligent environment are described in the paper. The main problems are the heterogeneity of hardware and software at integration of mobile devices as well as the variability of natural signals at the development of multimodal user interfaces. The modern context-aware applications take into account preferences and abilities of user and adapt ones to conditions of physical environments, computing and network resources. The means of Android-based mobile devices, which could be used to acquire attributes of context, are analyzed.

Using a High-Speed Video Camera for Robust Audio-Visual Speech Recognition in Acoustically Noisy Conditions

The purpose of this study is to develop a robust audio-visual speech recognition system and to investigate the influence of a high-speed video data on the recognition accuracy of continuous Russian speech under different noisy conditions. Developed experimental setup and collected multimodal database allow us to explore the impact brought by the high-speed video recordings with various frames per second (fps) starting from standard 25 fps up to high-speed 200 fps. At the moment there is no research objectively reflecting the dependence of the speech recognition accuracy from the video frame rate. Also there are no relevant audio-visual databases for model training. In this paper, we try to fill in this gap for continuous Russian speech. Our evaluation experiments show the increase of absolute recognition accuracy up to 3% and prove that the use of the high-speed camera JAI Pulnix with 200 fps allows achieving better recognition results under different acoustically noisy conditions.

Algorithms for Low Bit-Rate Coding with Adaptation to Statistical Characteristics of Speech Signal

The article establishes the general trends of speech coding algorithms based on linear prediction. The task of adaptation of speech codec to the statistical characteristics of the coding parameters is set and accomplished. The main procedures of their forming are examined. The results of experimental studies of the developed adaptive low bit-rate coding algorithms are presented. The benefits of the quality of remade speech in comparison with algorithms on FS1015, FS1017 and FS1016 standards and Full-rate GSM are displayed.

Scenarios of Multimodal Information Navigation Services for Users in Cyberphysical Environment

Cyberphysical systems (CPS) provide a broad range of possibilities in many fields of human activity such as multimodal human-computer interaction (HCI). The paper discusses the architecture of developing multimodal information navigation system of SPIIRAS, considering an approach of building a corporate information subsystem for tracking events, scheduling and displaying information on a distributed set of stationary monitors. The subsystem architecture was described in detail. The suggested algorithm for generating schedules showed high performance. The subsystem uses standard network technologies, is not tied to any software or hardware platforms, matches extensibility and portability criteria and may be used as a component of the cyberphysical environment in various organizations. Scenarios of user handling depending on user status are presented.

Architecture of Data Exchange with Minimal Client-Server Interaction at Multipoint Video Conferencing

The problems of serverless connections between clients and audiovisual data transmission in peer-to-peer videoconferencing web application are discussed. The serverless connections based on the WebRTC protocol allow applications to transfer any data between clients directly. The partial or complete loss of service data for the WebRTC protocol, which hampers the client connection, occurs during interaction of several clients through the server of the videoconferencing application. The proposed architecture of data transmission and storage on client and server provides buffering and following processing of the signal data with the exception of their loss and support of interaction between client groups.

Convex Shape Generation by Robotic Swarm

Forming a predetermined spatial shape is one of the most important problems of modern swarm robotics. The work presented here focuses on the motion planning for the swarm of identical robots in the task of spatial reconfiguration. The main requirement is that the reconfiguration must be collision free, that is, at each moment the pairwise distances between robots should not be smaller than some fixed minimal admissible distance. A collision-free navigation algorithm that generates a prescribed convex surface is presented. It includes trajectory computation combined with delay assignment. The computer simulation results demonstrate that the proposed algorithm works efficiently even for big swarms.

Providing Availability of the Smart Space Services by Means of Incoming Data Control Methods

This paper deals with estimating and providing availability of corporate smart space services on the example of the interactive corporate television service. For this purpose, the authors explore the known methods of traffic flow filtering, propose a technique to estimate the service availability, build the mass queuing model of the service and carry out the experiments with filtering methods. The experiments show that the effect values have peaks that depend on the conditions of operating and the filtering method parameters. So, the problem of determining the filtering method parameters can be represented as an optimization problem in a multidimensional space. The changing conditions of operating may be taken into account using adaptive approaches. Further research direction include: classifying and analyzing different ways (models, scenarios, modalities) of interaction between users and service, exploring the possibility of applying non-temporal parameters to analyze request flows, building the general threat taxonomy for the corporate smart space services including threats to confidentiality, integrity and availability, considering the possibility of implementing the complex service protection taking into account threat sources, threats, risk events and effects.

Multimodal Subscriber Interfaces for Infocommunication Systems

The quality enhancement of infocommunication systems based on integration of semantically different information transmitted over different communication channels is discussed. The increase of the informational efficiency of the multimodal communication systems is provided by using multimodal subscriber interfaces, compared to traditional telecommunications. The proposed approach is new in the subject area and requires a variety of research studies to develop innovative elements of the theory of multimodal information transmission. A notion of information value is introduced in order to estimate and chose functional structures and parameters that possess the most favorable informational characteristics during development of multimodal communication systems.