Enhancing the smartroom system with e-tourism services

The SmartRoom system is a service-oriented application for assisting such collaboration activity as conference or meeting in a room equipped with computing and presentational devices and Internet access. The development is open source and based on the Smart-M3 platform. In this paper, we consider advanced scenarios for SmartRoom to enhance the latter with e- Tourism services. We introduce a smart space based architecture for this enhancement. We provide an ontology for representing and sharing the tourism-related information for service construction. Based on the architecture and ontology, several case study services are designed. In particular, we implement a service for collaborative construction of a social program for conference participants. The implemented service is integrated into the SmartRoom system and demonstrates the feasibility of the proposed design

Study of active subscription control parameters in large-scale smart spaces

The development of smart spaces for Internet of Things (IoT) environments meets the scalability challenge since many participants are involved into the distributed computation. In particular, many sensors continuously provide data, many reasoners analyze the sensed data to construct services, and many mobile clients regularly join and leave the smart space to consume the services. The network interaction is information- driven, using a semantic information broker, which implements a passive strategy for subscription. The strategy leads to performance bottleneck. We continue our study of the active control strategy, when a part of subscription processing is delegated to the subscribers. The client multiplicatively decreases its check interval, if subscription notifications are lost, and additively increases the interval, otherwise. We study the role of strategy parameters: the client can select their values preliminary and keep fixed, or the client can change them dynamically depending on the recent situation. With the aim we provide mathematical model which represents important performance metrics as a function of strategy parameters. Analytical result are validated by experimental evaluation. Additionally, our simulation experiments evaluate the scalability in dependence on the number of participants

Smart museum of everyday life history in Petrozavodsk State University: Software design and implementation of the semantic layer

Since 2016 a smart museum of everyday life history has been developed within the History Museum of Petrozavodsk State University. This R&D project aims at solutions to the two important problems for creating a digital service-oriented environment for museum visitors and personnel: 1) offering personal recommendations on the museum collection with the use of semantic ranking methods and in context of the user and exhibition, 2) collaborative addition of information sources and their semantic annotation within the museum collection. Such solutions form the semantic layer of smart museum environment. This paper introduces our a) system design models for agent- based programming of museum information services, b) ranking models for semantic data mining in historical and cultural heritage domain. Our software implementation demonstrates the feasibility of the proposed models in respect to the user mobility, service personalization, and collaborative work opportunity

Demo: Smart Services for the History Museum of Petrozavodsk State University

Smart museum of everyday life history within the History Museum of Petrozavodsk State University is a smart space-based system implemented using the Smart-M3 platform. This demo presents the smart services for the History Museum of Petrozavodsk State University: Visit service, Exhibition service, and Enrichment service. These smart services realize the semantic layer in the smart museum environment as a multiagent service-oriented information system deployed on the top of museum information systems. Museum personnel and visitors can directly access the multi-agent system and consume services using Personnel client and Visitor client

Performance Scalability Study of the Smart-M3 CuteSIB Implementation

According to the M3 architecture (multidevice, multivendor, multidomain), a smart space is created by deploying a Semantic Information Broker (SIB) in a given Internet of Things (IoT) environment. The deployed SIB enables information sharing for all digital devices participating in the IoT environment. In this study, we consider CuteSIB—a new SIB implementation for the Smart-M3 platform, where the class of SIB host devices covers such Qt-based equipment as common computers (e.g., laptops and personal computers), embedded computers (e.g., single-board computers and wireless routers), and personal mobile computers (e.g., smartphones and tablets). Our study focuses on performance evaluation of the CuteSIB operation with a multitude of devices that simultaneously participate in data sharing, information processing, and service delivery. Our simulation experiments applies a scalability model for a smart space application with the three functional groups of participating devices: sensors, reasoners, and mobile clients. In the experiments, the number of devices is varied in each group as well as the parameters of interaction behavior with SIB. The evaluation shows the scalability level that CuteSIB can achieve being deployed on a host device of moderate capacity in an IoT environment

Performance evaluation of smart-M3 applications: A SmartRoom case study

Smart spaces support development of advanced service-oriented applications that introduce intelligence into Internet of Things environments. Current development meets the performance challenge, since the intelligence is achieved by the cost of performance. In this paper, we experimentally study a representative application for smart spaces - the SmartRoom system. It assists humans in such collaborative work activity as conferences, meetings, and seminars. Using the existing software Smart-M3-based implementation, we evaluate the performance of the three important components of service construction and delivery within a localized IoT environment of the room: (1) construction of the core SmartRoom services, (2) access of personal mobile devices to the system for delivering services, and (3) use of services composed with external Internet services. Our experiments confirm the Smart-M3 applicability. Even in the settings of a restricted-capacity IoT environment, the performance is suitable for practical purpose. The evaluated system components are common, and our experimental conclusions provide performance bounds convenient for a wide class of Smart-M3 applications

A smart space-based design of semantic layer for advancing museum information services

Nowadays many museums are being transformed to some “smart” variants: a cultural space in a digitally-equipped environment is formed where cultural heritage knowledge can be easily and collaboratively usable and creatable by interested visitors as well as by professionals. By using such innovative technologies as Internet of Things (IoT) and Smart Spaces it is possible to shorten the distance between museum exhibits and collected historical information on one side and consumers and providers of this information on the other side. In this paper, we study the smart museum concept for development of software that realizes connection between the involved actors and shared cultural heritage knowledge. Our research and development are focused on designing a semantic layer in the form of a software infrastructure. This infrastructure is a middleware on top of which such advanced museum information services can be constructed as personal visit planning, virtual exhibition preparation, and collaborative enrichment the museum collection. We introduce a suit of smart space-based solutions to create this type of software infrastructures. The generic solutions are theoretically analyzed based on the case study of the History Museum of Petrozavodsk State University (PetrSU)