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

Event recording in Smart Room

Activity tracking in smart space applications allows extending the applications with new features, such as automated generation of activity reports. In this paper we present a generic system - Event Recorder - that potentially can be used with any smart space application. We consider a particular case for Event Recorder: tracking events and producing summary reports of the activity held in Smart Room. The contribution of this study includes use case scenario and ontological representation model of Event Recorder, integration scheme of Event Recorder into the Smart Room system, and evaluation of appropriate visual formats for summary reports

Virtual shared workspace for smart spaces and M3-based case study

Lack of practical development platforms and specific methods of application programming delays extensive real-life deployment of smart spaces. Virtual shared workspace is a reasonable scenario for evaluation of the smart spaces paradigm maturity. In this paper we consider SmartRoom system, which is Smart-M3 based open source implementation of virtual shared workspaces. Such collaboration activity as conference or meeting is performed in a room equipped with computing and presentational devices as well as accessing Internet services. Personal mobile devices are primary tools for users. Although the Smart-M3 platform is still a research prototype we show that its existing capability is sufficient for developing certain services for practical use. Functionality of SmartRoom services is not finely tuned and not strictly limited by activity domain. Advanced service construction with context awareness, personalization, and augmentation is possible. We illustrate these properties by introducing e-Tourism services for use in SmartRoom collaborative activity

Design of semantic information broker for localized computing environments in the internet of things

Emerging communication technologies of the Internet of Things (IoT) make all the devices of a spatial-limited physical computing environment locally interconnected as well as connected to the Internet. Software agents running on devices make the latter “smart objects” that are visible in our daily lives as real participating entities. Based on the M3 architecture for smart spaces, we consider the problem of creating a smart space deploying a Semantic Information Broker (SIB) in a localized IoT-environment. SIB supports agent interaction in the smart space via sharing and self-generating information and its semantics. This paper proposes a renewed SIB design with increased extensibility, dependability, and portability. The research done is a step towards an efficient open interoperability platform for the smart space application development

Proactive Personalized Mobile Multi-Blogging Service on Smart-M3

This paper discusses the project targeted in development of proactive, personalized and composite services for the blogosphere. By applying the smart spaces paradigm we have developed an approach for composition of blog spaces. We contribute formal technique for construction of proactive and personalized service for bloggers as well as for its integration with external applications. The proposed technique is implemented in SmartScribo application on top of the Smart-M3 platform. The developed prototype solution has confirmed that the approach results in services with the next quality level

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

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

Population genetic structure in a rapidly expanding mesocarnivore

Species range expansions and (re)colonization of landscapes variously dominated by humans occur on a global scale. Understanding such range enlargements and subsequent changes in the composition of ecological communities is important for conservation management, and the golden jackal (Canis aureus) can be considered a model species for regional and continental range expansion. Although this mesopredator has been known from the Adriatic Coast of southeastern Europe for over 500 years, the species is a recent arrival further north, including in Slovenia where jackals were first confirmed in the 1950s. Research from eastern Italy found jackals with ancestry from the Dalmatian region on the Adriatic Coast and the Pannonian region further east. We predicted similar ancestry for Slovenian jackals, and examined samples from Croatia, including Dalmatia and interior regions, Serbia, Hungary, and Slovenia with 25 microsatellite markers to determine population genetic structure. We detected two distinct genetic clusters, representing the Dalmatian and Balkan-Pannonian (Pannonian) jackal populations (F$_{ST}$ = 0.157, 95% CI: 0.112–0.209). Contrary to expectations, only few individuals in Slovenia exhibited signs of Dalmatian ancestry, and none appeared to be direct immigrants. Some results suggested a third cluster centered in northern Hungary. These divergent profiles might indicate immigration from outside the study area, and samples from regions further east are required for additional resolution. Based on our results, we hypothesize that Dalmatia has not been a substantial source for recent range expansion of the species, which has likely occurred from the east. Further investigation can help resolve the ancestry and current distribution of the Dalmatian and Pannonian populations, and the ecological relationships resulting from progressively overlapping distributions of canid species. Finally, genomic research could illuminate whether genetic variants from eastern areas might have facilitated jackal expansion into regions characterized by a colder climate, the presence of snow, and extensive forest coverhabitats seemingly avoided by the jackals occupying the Adriatic Coast and surrounding areas in southeastern Europe