Analysis of User Activity in Wireless Local Area Network of Petrozavodsk State University

Wireless networks are widely used for Internet access in public places, trading centers and educational institutions. The study of users' activity in these places can help solve problems of marketing, security, location, and monitoring of public transport. The article describes an experiment to measure the activity of users in wireless networks of Petrozavodsk State University because some educational and administrative processes are slowed because of a strict speed limit for all users. The authors developed a method to determine users' activity without the access to the service equipment and personal data, as well as a software complex to implement this method. Then they collected and analyzed data on the hours of the highest and lowliest activity, class schedule effect, and the dynamics of users' returns to the network. The information obtained was used to determine the allowed constraints of the Internet access speed for network users. A number of equations take into account the typical behavior of wireless network users, their activity and the capacity of external network channels. Computed rates for speed limits significantly exceed the established indicators in the network of Petrozavodsk University during hours of average and minimum network load. The results obtained can be used in corporate networks to dynamically calculate the permissible speed limit and to improve the quality of user service

Development of smart room services on top of Smart-M3

SmartRoom is a system supporting collaboration activities localized in a room: a set of digital services is available for organizers and participants. The Smart-M3 platform is used to set up a networked knowledge sharing environment on top of which the SmartRoom service set is deployed. In this paper we introduce the methodology and design of the SmartRoom system. We consider realization of digital environment in a room, service set structure and corresponding Smart-M3 based computing infrastructure, ontological models and their use for service construction and delivery

Smartphone-Oriented Development of Video Data Based Services

The massive introduction of video capturing devices in Internet of Things (IoT) environments leads to development of various video data based services. In this paper, we consider the need and background on the video data based services in IoT environments. Based on the smart spaces approach, we introduce the architecture and distributed configurations to construct such services using primarily local devices and to deliver such services using smartphones. We discuss possible data models that can be used on such mediatory components as a local video server and a semantic information broker

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

The M3 architecture for smart spaces: Overview of semantic information broker implementations

A smart space enhances a networked computing environment by enabling information sharing for a multitude of local digital devices and global resources from the Internet. We consider the M3 architecture (multi-device, multi-vendor, multi-domain) for creating smart spaces, which integrates technologies from two innovative concepts: the Semantic Web and the Internet of Things. Our research focus is on analyses of the capabilities of Smart-M3 platform, which provides software implementations for such a central element of an M3 smart space as Semantic Information Broker (SIB). The paper presents a state-of-the-art and contributes our systematized vision on the SIB design and implementation. The analyzed open source SIB implementations include the original Smart-M3 piglet-based SIB, its optimized descendant RedSIB, OSGi SIB for Java devices, pySIB for Python devices, and CuteSIB for Qt devices. We also analyze the design of proprietary or incomplete SIB implementations: RIBS for embedded devices and ADK SIB built upon the OSGi framework with integration in the Eclipse Integrated Development Environment. The theoretical study is augmented with experimental evaluation of available SIB implementations

IoT-Based Applications in Healthcare Devices

The last decade has witnessed extensive research in the field of healthcare services and their technological upgradation. To be more specific, the Internet of Things (IoT) has shown potential application in connecting various medical devices, sensors, and healthcare professionals to provide quality medical services in a remote location. This has improved patient safety, reduced healthcare costs, enhanced the accessibility of healthcare services, and increased operational efficiency in the healthcare industry. The current study gives an up-to-date summary of the potential healthcare applications of IoT- (HIoT-) based technologies. Herein, the advancement of the application of the HIoT has been reported from the perspective of enabling technologies, healthcare services, and applications in solving various healthcare issues. Moreover, potential challenges and issues in the HIoT system are also discussed. In sum, the current study provides a comprehensive source of information regarding the different fields of application of HIoT intending to help future researchers, who have the interest to work and make advancements in the field to gain insight into the topic

Designing a Mobile Recommender System for Treatment Adherence Improvement among Hypertensives

Impelling the ambulatory hypertensive patients to stick to the prescribed treatment throughout a long term is a challenging problem. To address the problem, the personal monitoring system can be used providing the possibility both to gather various health state parameters and life style-related data and to intervene in case the patient does not stick to the appointed instructions. The subsystem related to health state monitoring have been presented in our previous work. In this paper, we introduce the recommender system intended to patient's behavior correction

Towards a personal at-home lab for motion video tracking in patients with Parkinson's disease

Many digital healthcare services now employ the opportunities of mobile and smart Internet technologies. The Internet is used to deliver such services as medical consultations, diagnosis, and prescriptions. The services are constructed and delivered in the ubiquitous style - anywhere, anytime, and using surrounding devices of our everyday life. In this paper, we discuss the opportunities of motion video tracking in at-home settings for a patient. Parkinson's disease (PD) serves as a case study. First, we define the problem of motion video tracking in PD patients. Then, we consider Internet-enabled methods for motion video tracking, which are essentially restricted with professional settings of a medical environment. Finally, we propose to create a personal at-home lab based on such cheap home-based cameras as any smartphone has. Our early experiment shows that such cameras provide reliable capture quality for the practical use in PD patient motion video tracking