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  • 1.
    Bin, Xiao
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Self-evolvable Knowledge-enhanced IoT Data Mobility for Smart EnvironmentsArtikel i tidskrift (Refereegranskat)
  • 2.
    Bin, Xiao
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahim, Rahmani
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Yuhong, Li
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Edge-based Interoperable Service-driven Information Distribution for Intelligent Pervasive ServicesIngår i: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589Artikel i tidskrift (Refereegranskat)
  • 3.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Xiao, Bin
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Vehicular Network Enabling Large-Scale and Real-Time Immersive Participation2014Ingår i: Internet of Vehicles – Technologies and Services: Proceedings, Springer, 2014, s. 66-75Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a system and mechanisms enabling real-time awareness and interaction among vehicles connected via heterogeneous mobile networks. Information obtained by vehicles is considered as the centre in our system. Vehicles are organized dynamically in overlaid clusters. In each cluster, vehicle-related information is pushed in time. As a network node, each vehicle has the function of content abstraction and distribution. Through processing and abstracting the sensed data, various vehicle-related information are organized and denoted in hierarchical names at each node. The data are transmitted and forwarded using protocols accordant with the characteristics of the content. In this way, large-scale and real-time information exchanges among vehicles are realized. Part of our system has been implemented and tested. An open source platform providing standard sensor and actuator API can be provided.

  • 4.
    Xiao, Bin
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Data-Centric Network of Things: A Method for Exploiting the Massive Amount of Heterogeneous Data of Internet of Things in Support of Services2017Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    Internet of things (IoT) generates massive amount of heterogeneous data, which should be efficiently utilized to support services in different domains. Specifically, data need to be supplied to services by understanding the needs of services and by understanding the environment changes, so that necessary data can be provided efficiently but without overfeeding. However, it is still very difficult for IoT to fulfill such data supply with only the existing supports of communication, network, and infrastructure; while the most essential issues are still unaddressed, namely the heterogeneity issue, the recourse coordination issue, and the environments’ dynamicity issue. Thus, this necessitates to specifically study on those issues and to propose a method to utilize the massive amount of heterogeneous data to support services in different domains.

    This dissertation presents a novel method, called the data-centric network of things (DNT), which handles heterogeneity, coordinates resources, and understands the changing IoT entity relations in dynamic environments to supply data in support of services. As results, various services based on IoT (e.g., smart cities, smart transport, smart healthcare, smart homes, etc.) are supported by receiving enough necessary data without overfeeding.

    The contributions of the DNT to IoT and big data research are: firstly the DNT enables IoT to perceive data, resources, and the relations among IoT entities in dynamic environments. This perceptibility enhances IoT to handle the heterogeneity in different levels. Secondly, the DNT coordinates IoT edge resources to process and disseminate data based on the perceived results. This releases the big data pressure caused by centralized analytics to certain degrees. Thirdly, the DNT manages entity relations for data supply by handling the environment dynamicity. Finally, the DNT supply necessary data to satisfy different service needs, by avoiding either data-hungry or data-overfed status.

  • 5.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    An Ontology-based Problem-logic Driven Approach towards the Activity Awareness for Elderly Care2015Ingår i: International Journal of Multimedia and Ubiquitous Engineering, ISSN 1975-0080, Vol. 10, nr 4, s. 31-42Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The same activity under different user situations in the elderly care system may lead to different intelligent system response, since user needs vary with the changing situations. Activity awareness (AA) emphasizes that systems intelligently respond to user needs by aware the user-performed activities which is denoted and comprehended according to various user situations. But most current AA technics use similar patterns retrieved from the growing historical data, neglecting the situation change, called dataset driven. Thus, an aptly approach is needed in support of AA systems to handle various activity denotations in different user situations. Responding to the problem, this paper proposes an Ontology-based Problem-logic driven approach (OPL) to enhance the AA system by denoting user activities with the problem logic according to user-oriented denoted problem domains, where the AA system can seamlessly integrate with inferring for intelligent system response. Specifically, denoted problem domain and logic are proposed to support the OPL concepts, while activity graph is formed to support the intelligent system response based on the annotated problem logic. With the OPL, systems can directly target at the changing situations with rule-based inferring. A case study is performed upon the scenario retrieved from a European elderly care project, where a proof-of-concept prototype is established to confirm the validity of the OPL approach.

  • 6.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Constructing Context-centric Data Objects to Enhance Logical Associations for IoT Entities2015Ingår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 52, s. 1095-1100Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Entities in Internet of Things (IoT) need intelligent associations to allow a flexible and dynamic system reaction towards varying user situations. Purely data-oriented association methods (e.g., data-mining, machine-learning, etc.) are limited in deduction from existing associations. Also such data-oriented methods are limited in accuracy for working with small-scale datasets (e.g., working with patterns retrieved from historical data), outputting associations based on statistics rather than logic. Moreover, existing semantic technologies (ontological-oriented or rule-oriented) are facing with either flexibility or dynamicity challenges to discover and maintain the associations. This paper proposes an alternative technique of semantically constructing context-centric data objects based on service logics for logical associations, which enables an event net based on association nets adapting for the changing situations (called context-centric). A proof-of-concept implementation is carried out based on a vehicle planning scenario to validate the data construction technique. Comparing to previous work, this technique possesses advantages of flexibility and dynamicity for entity associations based on service logics.

  • 7.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Generic Distributed Sensing in Support of Context Awareness in Ambient Assisted Living2014Ingår i: Multimedia and Ubiquitous Engineering / [ed] Park, J. J.; Chen, S. C.; Gil, J. M.; Yen, N. Y., Springer Berlin/Heidelberg, 2014, s. 99-107Konferensbidrag (Refereegranskat)
    Abstract [en]

    Researches in ambient assisted living have so far faced three important challenges: (1) Lack of a comprehensive approach to capture user needs that are generic; i.e., not limited to specific events, but as generic related to the user. (2) Lack of a highly flexible and scalable platform for the distributed sharing and processing of context between nodes in IoT networks. (3) Increased amount of communication and devices with sensors participating in the acquisition, processing and sharing of context further challenges both computation capability and storage capacity of the system. In this paper, we address these limitations and present novel support, applied in a system for remote assistance of elderly. The support comprehensively retrieves user needs from generic context, via a scalable overlay providing increment of processing capability and storage. Further, the support self-organizes entities into generic context from distributed sensing, using the Dependent Context Pattern (DCP) based on the Context Virtualizing Platform (CVP).

  • 8.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Logical interactions for heterogeneous IoT entities via virtual world mirrors in support of Ambient Assisted Living2016Ingår i: Journal of Ambient Intelligence and Smart Environments, ISSN 1876-1364, E-ISSN 1876-1372, Vol. 8, nr 5, s. 565-580Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In Ambient Assisted Living (AAL), as an important applied area of Internet of Things (IoT) technology, logical entity interaction establishes an intelligent virtual world in which heterogeneous entities are emulated by object-oriented mirrors through tightly cooperating sensors and actuators from different spaces in the real world; this enables the system to generate intelligent services to support human behaviour. However, until now, few researchers have focused on enabling interactions between heterogeneous IoT entities for AAL services. Further, in relevant studies regarding semantic entity interactions, researchers have mainly focused on enabling semantic interactions between sensors (rather than integral entities) for the purpose of coordinating and managing data resources, where tight collaborations between sensors and actuators are not emphasised. Hence, the system capability of initialising intelligent service to enhance human experience has not been properly emphasised, to date. This paper discusses enabling logical object-oriented IoT entity interactions to enrich AAL services for humans through the creation of mirrors in the virtual world emulating the attributes and behaviours of heterogeneous entities via cooperating sensors and actuators in the real world. This paper introduces the Entity Device Collocating (EDC) Platform to globally locate and retrieve sensors and actuators respectively adhering to the attributes and behaviours of integral mirrors in the virtual world; this is intended to enable the interoperability between virtual and real worlds. Interactions are created upon entity mirrors mapping entities from the physical world to the virtual world, during which interactions continue to evolve based on the service logics. The proposed technique is applied to a typical AAL case of smart pill-ingestion, where a demo is implemented for verification. Comparing with relevant research, the proposed technique contributes by introducing a flexible and scalable IoT entity interaction method targeting AAL to address human needs.

  • 9.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A deep relation learning method for IoT interoperability enhancement within semantic formalization framework2017Ingår i: Proceedings of the Second International Conference on Internet of things and Cloud Computing, Association for Computing Machinery (ACM), 2017, artikel-id 149Konferensbidrag (Refereegranskat)
    Abstract [en]

    Internet of Things (IoT) is facing with the interoperability issue due to the massive amount of heterogeneous entities (both physical and virtual entities) constantly generating heterogeneous data objects; semantic formalization has been widely recognized as a basis for the IoT interoperability, by which IoT can acquire the ability to comprehend data and further recognize the logic relations among heterogeneous IoT entities and heterogeneous data objects, thus to establish mutual understanding between each other to support with interoperability. Even semantic-driven track has emphasizes a lot on the logic relations in connection to the service rules and policies for interoperability, it is important that the quantity-driven relations should be also explored with adhering to the framework of semantic formalization. This paper explores a Deep Recursive Auto-encoders formed data relation learner in line with the semantic framework, which supports the data interoperability enhancement in a quantity-driven way based on the logic-driven framework. The learner starts with representing the virtual IoT entities via feature extraction; based on that, learner is trained in a manner of considering the surrounding relations of the targeted entity. As a baseline, a contrast learner with "regular" structure has been proposed which cannot functionally support semantic framework, even though the semantic formalization is indispensable; regardless the limitations in lab environment, the conducted experiments show that the proposed learner performs a bit better than the contrast learner under the same conditions. So that, the proposed method can synergistically enhances the interoperability within a semantic formalization framework.

  • 10.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Gillblad, Daniel
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Intelligent Data-Intensive IoT: A Survey2016Ingår i: 2016 2nd IEEE International Conference on Computer and Communications (ICCC): Proceedings, IEEE Computer Society, 2016, s. 2362-2368Konferensbidrag (Refereegranskat)
    Abstract [en]

    The IoT paradigm proposes to connect entities intelligently with massive heterogeneous nature, which forms an ocean of devices and data whose complexity and volume are incremental with time. Different from the general big data or IoT, the data-intensive feature of IoT introduces several specific challenges, such as circumstance dynamicity and uncertainties. Hence,intelligence techniques are needed in solving the problems brought by the data intensity. Until recent, there are many different views to handle IoT data and different intelligence enablers for IoT, with different contributions and different targets. However, there are still some issues have not been considered. This paper will provide a fresh survey study on the data-intensive IoT issue. Besides that, we conclude some shadow issues that have not been emphasized, which are interesting for the future. We propose also an extended big data model for intelligent data-intensive IoT to tackle the challenges.

  • 11.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Edge-based interoperable service-driven information distribution for intelligent pervasive services2017Ingår i: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 40, s. 359-381Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Internet of Things (IoT)-based Intelligent Pervasive Service (IPS) systems face increasing pressure from the massive amounts of heterogeneous data generated; the heterogeneity hinders interoperability between data resources and IPSs, making data sharing inefficient and making it difficult to satisfy the needs and fulfill requirements of the IPSs. In response, this article proposes a method of interoperable service-driven information distribution on the edge side to enhance the service-level interoperability with feature-level interoperability by self-adapting data sharing according to the service needs, which will also help to release incremental data pressure and provide better data privacy by conducting service-driven and relevance-based data sharing.

  • 12.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zeeshan Asghar, Muhammad
    university of Oulu, faculty of science , department of information processing science .
    Jämsä, Tapani
    university of Oulu , faculty of science , department of information processing science.
    Pulli, Petri
    university of Oulu, faculty of science , department of information processing science.
    “Canderoid”: A mobile system to remotely monitor travelling status of the elderly with dementia2013Ingår i: International Joint Conference on Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013, IEEE Press , 2013, s. 648-654Konferensbidrag (Refereegranskat)
    Abstract [en]

    The number of elderly people increases quickly in many countries, under the global population aging situation. It is an upsetting fact that many elderly people are suffering from the dementia, which seriously obstructs their independent living and travel. It is a pervasive problem that the demented elderly individuals are easy to get lost or go into danger during alone travel in daily life. Therefore we propose a novel mobile system named “Canderoid” to monitor independent outdoor travel of the elderly individuals remotely, with aid from the caretaker. The system is composed mainly of an android terminal (Wanderoid), an MQTT broker, and a platform on caretaker side. In the system, an android terminal named “Wanderoid” is implemented on a smartphone to capture the travelling status, using built-in smartphone sensors (i.e. camera with an adhesive fish-eye lens, compass and GPS). The terminal device is a normal smartphone, with a fish-eye lens attached on the camera. The sensor data are transferred to the platform of caretaker after capturing. The data transmission work relies on a message pushing architecture, which deals with mobile IP address changing and enables remote manipulation of the smartphone terminal, by introducing the MQTT broker. Then the caretaker platform can interpret sensor data and real-timely present the travelling status using snapshot taken by the fish-eye camera, street view and map. A reliability test, energy dissipation test and usability test are carried out on the prototype to verify that the system is effective, easy-to-use, reliable and energy-saving, from the viewpoints of both technology and human factors.

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