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  • 251.
    Granlund, Daniel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Johansson, Dan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Brännström, Robert
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A case study of application development for mobile and location-based services2013Ingår i: Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS2013), New York: ACM Digital Library, 2013, s. 658-662Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we present a case study of a location-dependent service, aimed for tourists. Two applications are developed, one based on native technologies, the other on HTML5 and related frameworks. We provide implementation details and compare the different solutions in terms of location support, compliance with required features, and cross-platform functionality. Our experiments show that web-based approaches may lead to significant benefits over using native technologies; both versions of the application displayed comparable location support and compliance with required features, while the web version superseded its native counterpart in cross-platform functionality.

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  • 252.
    Granlund, Daniel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Åhlund, Christer
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A scalability study of AAA support in heterogeneous networking environments with global roaming support2011Ingår i: TrustCom 2011: 2011 international joint conference of IEEE TrustCom-11, IEEE ICESS-11 / FCST-11 : 16-19 November 2011, Changsha, Hunan, P. R. China / [ed] Guojun Wang, Los Alamitos, Calif: IEEE Computer Society Press , 2011, s. 488-493Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we present a scalability study of AAA support in mobile heterogeneous access networks with respect to server and network load related to AAA processes using the RADIUS protocol. Technologies such as IEEE 802.11, CDMA 2000 and UMTS which all support the RADIUS protocol for AAA handling are discussed and analyzed. Typical performance data are gathered and complemented with a theoretical study in order to achieve an overview of what parameters will affect the performance and scalability of the network. Also, guidelines are developed for network design in order to achieve the desired performance for a given number of users. Results of this study include the conclusion that the main bottleneck of the AAA procedure is not necessarily the AAA server CPU power. Aside the cases with a high proportion of computationally intensive WiFi sign-ons with strong encryption, performance issues may be caused by AAA server network connection bandwidth, and RAM memory. In cases where a high number of users reside in the same user database, database performance becomes a significant issue. In order to achieve better performance, CPU load balancing over several servers may be performed.

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  • 253.
    Granlund, Daniel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Åhlund, Christer
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Holmlund, Patrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    EAP-Swift: An Efficient Authentication and Key Generation Mechanism for Resource Constrained WSNs2015Ingår i: International Journal of Distributed Sensor Networks, ISSN 1550-1329, E-ISSN 1550-1477, artikel-id 460914Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Technological advances within the area of wireless sensor technology allow WSNs to be used in a increasing number of measurement scenarios. As new application areas are emerging, such as infrastructure monitoring and smart cities, the need for sensor mobility handling requires efficient and secure authentication protocols. This paper presents EAP-Swift, a novel EAP based authentication protocol with a focus on lightweight processing and faster response. It supports end-to-end session encryption key generation and mutual authentication. By utilizing lightweight hashing algorithms, the challenge-response authentication mechanism uses only two round trips to the AAA server for the complete authentication procedure leading to the reduction of latency by 33% compared to the baseline protocols. Further, using extensive experimentation, we validate that the authentication time can be kept below 250 ms and the power consumption can be kept below 15 mJ. Furthermore, we show that a battery lifetime of more than four years can be achieved when running the system on a regular button cell battery. Finally, the protocol was verified in terms of security using the AVISPA tool.

  • 254.
    Grasic, Samo
    et al.
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Arbetsvetenskap.
    Lindgren, Anders
    SICS Swedish ICT, Sweden.
    Revisiting a remote village scenario and its DTN routing objective2014Ingår i: Computer Communications, ISSN 0140-3664, E-ISSN 1873-703X, Vol. 48, s. 133-140Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Use of opportunistic connectivity together with the Delay Tolerant Network (DTN) architecture provides an economically viable alternative to traditional ICT solutions for communication challenged areas. Here, the remote village scenario is commonly established as a motive in terrestrial DTN research. However, the majority of the DTN research does not discuss the remote village scenario as a concept at any length. Instead, urban scenarios are employed, both as benchmarks and as target scenarios. This can be a problem as it does not take into account the specific characteristics of a concrete real-world remote village scenario. In this paper we discuss how these characteristics affect and shape the deployment of network and the network itself. Furthermore, we show how these network conditions forced us to change the focus from the traditional DTN routing objective forwarding problem to the traffic queuing problem. Finally, we discuss how the characteristics seen in the case study of one remote village can be generalized for other remote village scenarios. All material and observations used in this paper are drawn from our five years experiences of DTN deployments in remote mountainous villages of Sweden.

  • 255.
    Gunasekera, Kutila
    et al.
    Monash University, Melbourne, VIC.
    Krishnaswamy, Shonali
    Monash University, Melbourne, VIC.
    Loke, Seng Wai
    La Trobe University.
    Zaslavsky, Arkady
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Runtime efficiency of adaptive mobile software agents in pervasive computing environments2009Ingår i: AUPC '09: ICPS 2009 & co-located workshops compilation proceedings, July 13-16, 2009, Imperial College, London, UK, New York: ACM Digital Library, 2009, s. 123-131Konferensbidrag (Refereegranskat)
    Abstract [en]

    Developing software that can support heterogeneous hardware platforms, adapt to dynamic highly variable environments and meet rapidly changing requirements is a challenge of pervasive computing. Dynamic adaptive software agents are a promising approach to develop software for such environments. We previously proposed an agent architecture which brings together features such as runtime adaptivity, agent mobility, platform-independence, context-awareness and lightweightness which are desirable in pervasive environments. In this paper, we propose and analyse a cost model of network load for our runtime adaptive mobile software agents. We compare our adaptive agents against standard non-adaptive mobile agents using this cost model. Subsequent experimental results demonstrate that our agents outperform non-adaptive mobile agents. We also propose and discuss further features which make our adaptive agent based software solution more suitable for pervasive computing environments.

  • 256.
    Gunasekera, Kutila
    et al.
    Monash University, Melbourne, VIC.
    Krishnaswamy, Shonali
    Monash University, Melbourne, VIC.
    Loke, Seng
    La Trobe University.
    Zaslavsky, Arkady
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Adaptation support for agent based pervasive systems2012Ingår i: Mobile and Ubiquitous Systems: Computing, Networking, and Services: 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers, Heidelberg: Encyclopedia of Global Archaeology/Springer Verlag, 2012, s. 90-101Konferensbidrag (Refereegranskat)
    Abstract [en]

    Pervasive computing systems execute in dynamic highly variable environments and need software that are context-aware and can adapt at runtime. Mobile agents are viewed as an enabling technology for building software for such environments due to their flexibility, migratory nature and scalability. This paper presents a novel approach which aims to further enhance this advantage by building compositionally adaptive mobile software agents that are also context-driven, component-based and have the ability to exchange their components with peer agents. We present the formal underpinnings of our approach and a decision making model which assists agent adaptation. We also describe our current implementation and experimental results to evaluate the benefits of the proposed approach.

  • 257.
    Gunasekera, Kutila
    et al.
    Faculty of Information Technology, Monash University.
    Loke, Seng Wai
    Department of Computer Science & Computer Engineering, La Trobe University.
    Zaslavsky, Arkady
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Krisnaswamy, Shonali
    Faculty of Information Technology, Monash University.
    Runtime adaptation of multiagent systems for ubiquitous environments2009Ingår i: IWI 2009: 2009 IEEE/WIC/ACM International Conference on Web Intelligence : proceedings, 15-18 September, 2009 : Università degli Studi di Milano Bicocca, Milano, Italy, Los Alamitos, Calif: IEEE Communications Society, 2009, Vol. 2, s. 486-490Konferensbidrag (Refereegranskat)
    Abstract [en]

    There is a growing need to develop adaptive mobile agent systems to meet the increasing complexity and dynamic environments of distributed applications. This paper proposes and argues that using compositional adaptation of individual and teamed software agents allows multiagent systems to radically change their behaviors and structure at runtime. We describe and analyze an application scenario which motivates a compositionally adaptive agent based approach. The challenges and different solutions are described. The paper then proposes the VERSAG approach which is used to combine the benefits of the various approaches in a novel manner. This paper also presents experimental evaluations which compare these adaptive mobile agents with standard non-adaptive mobile agents.

  • 258.
    Gunasekera, Kutila
    et al.
    Faculty of Information Technology, Monash University.
    Zaslavsky, Arkady
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Krishnaswamy, Shonali
    Faculty of Information Technology, Monash University.
    Loke, Seng Wai
    Department of Computer Science & Computer Engineering, La Trobe University.
    Service oriented context-aware software agents for greater efficiency2010Ingår i: Agent and multi-agent systems: technologies and applications: 4th KES international symposium, KES-AMSTA 2010, Gdynia, Poland, June 23-25, 2010 ; proceedings / [ed] Piotr Jedrzejowicz; Ngoc Thanh Nguyen; Robert J. Howlet; Lakhmi C. Jain, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2010, s. 62-71Konferensbidrag (Refereegranskat)
    Abstract [en]

    Convergence of web service technology with intelligent and mobile agent technology, enhanced with context awareness, can produce a new software paradigm that will enable more efficient and effective mobile services. Traditionally, an agent has been a passive service requestor with the service processing happening at the provider's site. We propose that in some situations it would be beneficial if the agent could acquire the ability to execute the functionality provided by the service and run it locally instead of simply using the service. To this end, we build an analytical model which compares time consumption of traditional service access with that of component use. Such a model would allow an agent to dynamically select the more efficient approach. We describe experiments which compare the two approaches and discuss the results and lessons learnt

  • 259.
    Gupta, Dipankar
    et al.
    Department of Computer Science and Engineering, Port City International University, Chattogram, Bangladesh.
    Hossain, Emam
    Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
    Hossain, Mohammad Shahadat
    Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hossain, Sazzad
    Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh.
    A Digital Personal Assistant using Bangla Voice Command Recognition and Face Detection2019Ingår i: 2019 IEEE International Conference on Robotics, Automation, Artificial- Intelligence and Internet-of-Things, IEEE, 2019, s. 116-121, artikel-id 47Konferensbidrag (Refereegranskat)
    Abstract [en]

    Though speech recognition has been a common interest of researchers over the last couple of decades, but very few works have been done on Bangla voice recognition. In this research, we developed a digital personal assistant for handicapped people which recognizes continuous Bangla voice commands. We employed the cross-correlation technique which compares the energy of Bangla voice commands with prerecorded reference signals. After recognizing a Bangla command, it executes a task specified by that command. Mouse cursor can also be controlled using the facial movement of a user. We validated our model in three different environments (noisy, moderate and noiseless) so that the model can act naturally. We also compared our proposed model with a combined model of MFCC & DTW, and another model which combines crosscorrelation with LPC. Results indicate that the proposed model achieves a huge accuracy and smaller response time comparing to the other two techniques.

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  • 260.
    Gupta, Dipankar
    et al.
    Department of Computer Science and Engineering, Port City International University, Chattogram, Bangladesh.
    Hossain, Emam
    Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
    Hossain, Mohammed Sazzad
    Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh.
    Hossain, Mohammad Shahadat
    Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    An Interactive Computer System with Gesture-Based Mouse and Keyboard2021Ingår i: Intelligent Computing and Optimization: Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020) / [ed] Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber, Springer Nature, 2021, s. 894-906Konferensbidrag (Refereegranskat)
    Abstract [en]

    Researchers around the world are now focused on to make our devices more interactive and trying to make the devices operational with minimal physical contact. In this research, we propose an interactive computer system which can operate without any physical keyboard and mouse. This system can be beneficial to everyone, especially to the paralyzed people who face difficulties to operate physical keyboard and mouse. We used computer vision so that user can type on virtual keyboard using a yellow-colored cap on his fingertip, and can also navigate to mouse controlling system. Once the user is in mouse controlling mode, user can perform all the mouse operations only by showing different number of fingers. We validated both module of our system by a 52 years old paralyzed person and achieved around 80% accuracy on average.

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  • 261.
    Gylling, Arne
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Lassinantti, Josefin
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Waara, Åsa
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Ståhlbröst, Anna
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Project: SITE - Smart IT för Energibesparing2015Övrigt (Övrig (populärvetenskap, debatt, mm))
    Abstract [sv]

    Från ansökan: "Projektet skall via användarmedverkan, med skolungdomar och lärare på Tunaskolan i Luleå, kombinerat med smart IT och design av nya innovativa sätt för visualisering utveckla nya metoder för att minska energiförbrukningen. Projektet bygger vidare på resultat och samarbeten med både nationella och internationella EU projekt inom området energibesparing med fokus på användarmedverkan.Vi vill tillsammans med skolungdomar, morgondagens beslutsfattare, och via deras "normala" kommunikationsvägar (Internet, Web 2.0, Facebook etc) sprida och engagera om energi och miljö. Genom att bygga demonstratorer vill vi lära oss hur och vad man bör fokusera på för att både spara energi men även bidra till en större medvetenhet för områdena. Vi vet att ungdomar idag mycket snabbare sprider "god" information och huvudfokus för projektet är att tillsammans med ungdomarna förstå vad och på vilket sätt energiutnyttjandet skall visualiseras för att "nå ut" och spridas.Vårt mål är att engagera skolan, elever, lärare och besökare, till att bidra med idéer för hur man kan spara energi och värna om miljön. Tillsammans med projektdeltagarna kommer nya Internet-baserade applikationer attutvecklas för visualisering av i realtid uppmätt energiutnyttjande. Tillvägagångssättet kommer vara baserat på att genom korta och snabba iterationer sätta nya versioner av de utvecklade applikationerna "i händerna" påungdomarna som varit med och designat själva hur applikationerna ska se ut för att presentera energiförbrukning på ett enkelt sätt.Vi avser också att via medverkande företag, baserat på resultat i projektet, utveckla nya affärer och vi kommer kontinuerligt under projektet att sprida information om framsteg via Internet, konferenser samt andra samarbetsprojekt.

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  • 262.
    Haghighi, Pari Delir
    et al.
    Centre for Organisational and Social Informatics, Monash University, Australia.
    Burstein, Frada
    Centre for Organisational and Social Informatics, Monash University, Australia.
    Zaslavsky, Arkady
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Arbon, Paul
    Flinders University, Australia.
    Krishnaswami, Shonali
    Centre for Organisational and Social Informatics, Monash University, Australia.
    The role of domain ontology for medical emergency management in mass gatherings2010Ingår i: Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade, Amsterdam: IOS Press, 2010, s. 520-531Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Mass gatherings are common events that typically attract large crowds of people. If such events are not properly planned, coordinated and managed with regard to health and safety issues, they can become hazardous and lead to injuries, illnesses and deaths. Conducting a safe and successful mass gathering event requires effective planning and management including the provision of timely medical care and response. To achieve these goals, there is a need for a unifying and formal model/framework of mass gatherings that can be applied across all the emergency agencies and events, and used in support of time-critical decision making for medical emergency management in this context. However, the absence of a common knowledge structure and conceptual model in Medical Emergency Management in Mass Gathering (MEMMG), acknowledged in the literature, limits our understanding of such events and impedes the effectiveness of decision support systems in these environments. In this paper, we propose domain ontology for MEMMG that represents main concepts of mass gatherings and their characteristics and relationships in a standard and formal manner. The proposed domain ontology is an instantiation and extension of DOEM (Domain Ontology for Emergency Management) that represents major generic concepts in the emergency management and can be used as information structure for the development of various emergency management decision support systems. We illustrate application of such an ontology to the classical Intelligence-Design-Choice-Implementation decision support model

  • 263.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Backlund-Norberg, Mia
    Luleå tekniska universitet, Institutionen för system- och rymdteknik.
    Kristiansson, Johan
    Ericsson Research AB.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Nugent, Chris
    University of Ulster.
    Creating dynamic groups using context-awareness2007Ingår i: Proceedings of the 6th International Conference on Mobile and Ubiquitous Multimedia: December 12 - 14, 2007, Oulu, Finland / [ed] Timo Ojala, Red Hook, NY: Curran Associates, Inc., 2007, s. 42-49Konferensbidrag (Refereegranskat)
    Abstract [en]

    This article presents the conceptual communication model of dynamic groups, that dynamically utilizes three traditional communication metaphors through the use of context-based information. Dynamic groups makes creation, management and usage of groups easy. It enables social network structures to be maintained in both virtual and face-to-face settings as well as in the combination thereof. This article defines the dynamic management of advanced contact lists which can include presence and status information, a/synchronous multimedia communication tools, and methods for structuring social networks. It also contains an initial evaluation and a proposed architecture for technical realisation.

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  • 264.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Backlund-Norberg, Mia
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Nugent, Chris
    Computer Science Research Institute, University of Ulster.
    Profile management for dynamic groups2009Ingår i: Intelligent Patient Management, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 2009, s. 297-313Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    There is a growing need in supporting social networking for groups who often become isolated, such as elders living at home. In a social network people with similar diseases and ailments can find each other and share information to improve their understanding of their illness. Group communication tools can help maintain a virtual social network and provide a base for information retrieval. Nevertheless, they often lack the strengths of the social networking tools and vice versa. Within this work we have developed a new concept called dynamic groups. Dynamic groups make creation, management, and usage of groups for communication and social networking easy. Nevetheless, for this to work the profile management system is required to handle more than just user information, it is required to provide users with control over their data and offer privacy and customisation capabilities. This article presents HomeCom, a model for profile management in dynamic groups. It also presents the solutions for making queries, as well as the solutions for privacy and customisation using multiple profiles and an integrated rule engine.

  • 265.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Casati, Fabio
    University of Trento.
    Hedman, Anders
    Kungliga tekniska högskolan, KTH.
    Plomp, Johan
    VTT Technical Research Centre of Finland, Espoo.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Mental Wellbeing for Active Healthy Ageing2014Rapport (Övrigt vetenskapligt)
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  • 266.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Kikhia, Basel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Bengtsson, Johan
    InterNIT.
    Sävenstedt, Stefan
    Luleå tekniska universitet, Institutionen för hälsovetenskap, Omvårdnad.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Reminiscence processes using life-log entities for persons with mild dementia2009Ingår i: Proceedings of the First International Workshop on Reminiscence Systems (RSW-2009): Cambridge, UK, 5 September, 2009, 2009, s. 16-21Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we present the reminiscence process in a prototype memory support tool for persons with mild dementia. The purpose is to promote autonomy for persons with mild dementia by supporting actualization and maintenance of episodic memories, and real-time access to a context-annotated life log.  The main research challenges are defined with a user scenario, Suitable reminiscence methods and memory entitities to reperesent life logs are described, and a preliminary architecture is presented. Finally an early design of a concrete ReviewClient is shown, to solicit feedback on the reminiscence methods, entitites chosen, architecture and the usability of the proposed interface.

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  • 267.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Nilsson, Marcus
    Luleå tekniska universitet.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Positioning with Bluetooth2003Ingår i: 10th International Conference on Telecommunications: ICT 2003 ; February 23 - March 1, 2003, Sofitel Coralia Maeva Beach Hotel, Tahiti, Papeete, French Polynesia, Piscataway, NJ: IEEE Communications Society, 2003, s. 954-958Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents an evaluation of Bluetooth positioning in a general positioning platform. Proceeding the evaluation a Bluetooth based positioning system was implemented in order to complement the theoretical evaluation with empirical tests. Three different ways of positioning with Bluetooth have been developed. With a registered positioning service a Bluetooth device has an active role in the positioning task as it sends a position on request. A Bluetooth device can also take a more passive role in a positioning task, where the unique address of the device is used by a connected device to look up respective position in a database. It is also possible to forward a position gained from the positioning platform using the peer to peer characteristics in Bluetooth. This paper does also contain a discussion on the theoretical time requirements for a positioning system based on Bluetooth. Empirical tests show that these requirements hold.

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  • 268.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Svensson, Sara
    Luleå tekniska universitet.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Enhanced Experience of Sport Events2004Övrigt (Övrigt vetenskapligt)
    Abstract [en]

    This paper describes a system where Internet-enabled sensor technology was integrated into a context information platform to give viewers of sport events an enriched media experience. The system was developed as a proof of concept and was evaluated during real-life use at the Vasaloppet cross-country ski event. Using Bluetooth wireless ad-hoc networking and GPRS technology, sensor data was transmitted from contestants to a context information platform, which in turn presented the sport event viewer with a personalized, context-aware view.

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  • 269.
    Hallberg, Josef
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Svensson, Sara
    Luleå tekniska universitet.
    Östmark, Åke
    Lindgren, Per
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Delsing, Jerker
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Enriched media-experience of sport events2004Ingår i: Proceedings: Sixth IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2004 : 2 - 3 December 2004, Windermere, Cumbria, United Kingdom, Los Alamitos, Calif: IEEE Communications Society, 2004, s. 2-9Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper describes a system where Internet-enabled sensor technology was integrated into a context-aware platform to give viewers of sport events an enriched media experience. The system was developed as a proof of concept and was evaluated during real-life use at the Vasaloppet cross-country ski event. Using Bluetooth wireless ad-hoc networking and GPRS technology, sensor data was transmitted from contestants to the context-aware platform Alipes, which in turn presented the sport event viewer with a personalized, context-aware view. In this paper we discuss the system architecture and integration of components. The system was evaluated both from technical and user perspectives, where the evaluation results confirm our approach to be technically feasible and that the system provide an enriched media-experience for the majority of viewers.

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  • 270.
    Handberg, Leif
    et al.
    Royal Institute of Technology (KTH), Stockholm, Sweden.
    Gullström, Charlie
    Royal Institute of Technology (KTH), Stockholm, Sweden.
    Kort, Joke
    TNO, Eemsgolaan 3, 9727 DW Groningen, The Netherlands.
    Nyström, Jimmy
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    SharedSpaces Mingle2016Ingår i: CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, New York: ACM Digital Library, 2016, s. 269-272Konferensbidrag (Refereegranskat)
    Abstract [en]

    SharedSpaces is a WebRTC design prototype that creates a virtual media space where people can mingle and interact. Although you are in different locations, you appear side by side in front of a chosen backdrop. This interactive installation addresses spatial and social connectedness, stressing the importance of integrating architectural and spatial features to support complex social dynamics in mediated interaction. The tool engages users in manipulating their real-time video- streams, creatively co-designing a shared mediated space that fits a contextual need. It supports social dynamics by allowing users to draw and paint together and to move and resize video streams. Further, it enhances grounding and social cues by merging video- streams and space, representing users as if they were in the same space. Standard and easily available equipment is used. Recent user studies show that a seamless integration of space, social dynamics and shared activity benefits the experience of presence, naturalness, immersion/engagement and social connectedness.

  • 271.
    Handberg, Leif
    et al.
    Royal Institute of Technology, Stockholm, Sweden.
    Gullström, Charlie
    Royal Institute of Technology, Stockholm, Sweden.
    Kort, Joke
    TNO, Eemsgolaan 3, 9727 DW Groningen, The Netherlands.
    Nyström, Jimmy
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Spatial and Social Connectedness in Web-based Work Collaboration2016Ingår i: CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, New York: ACM Digital Library, 2016, s. 45-48Konferensbidrag (Refereegranskat)
    Abstract [en]

    The work presented here seeks an integration of spatial and social features supporting shared activities, and engages users in multiple locations to manipulate realtime video-streams. Standard and easily available equipment is used together with the communication standard WebRTC. It adds a spatial quality of experience by representing the users anywhere on the screen, with easily changed diverse backdrops, inviting users to co-design a shared mediated space. User studies show that a seamless integration of space, social dynamics and shared activity benefits the experience of presence, naturalness, immersion/engagement and social connectedness. The results inform a discussion about spatial and social connectedness, stressing the importance of design to integrate architectural/spatial features and support complex social dynamics in mediated interaction.

  • 272.
    Handurukande, Sidath
    et al.
    Network Management Lab, LM Ericsson, Athlone, Ireland.
    Fedor, Szymon
    Network Management Lab, LM Ericsson, Athlone, Ireland.
    Wallin, Stefan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Zach, Martin
    Siemens AG Austria, Vienna, Austria.
    Magneto approach to QoS monitoring2011Ingår i: Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, Piscataway, NJ: IEEE Communications Society, 2011, s. 209-216Konferensbidrag (Refereegranskat)
    Abstract [en]

    Quality of Service (QoS) monitoring of end-user services is an integral and indispensable part of service management. However in large, heterogeneous and complex networks where there are many services, many types of end-user devices, and huge numbers of subscribers, it is not trivial to monitor QoS and estimate the status of Service Level Agreements (SLAs). Furthermore, the overwhelming majority of end-terminals do not provide precise information about QoS which aggravates the difficulty of keeping track of SLAs. In this paper, we describe a solution that combines a number of techniques in a novel and unique way to overcome the complexity and difficulty of QoS monitoring. Our solution uses a model driven approach to service modeling, data mining techniques on small sample sets of terminal QoS reports (from “smarter” end-user devices), and network level key performance indicators (N-KPIs) from probes to address this problem. Service modeling techniques empowered with a modeling engine and a purpose-built language hide the complexity of SLA status monitoring. The data mining technique uses its own engine and learnt data models to estimate QoS values based on N-KPIs, and feeds the estimated values to the modeling engine to calculate SLAs. We describe our solution, the prototype and experimental results in the paper.

  • 273.
    Handurukande, Sidath
    et al.
    Network Management Lab, LM Ericsson, Athlone, Ireland.
    Wallin, Stefan
    Data Ductus Nord AB, Skellefteå, Sweden.
    Jonsson, Andreas
    Data Ductus Nord AB, Skellefteå, Sweden.
    IPTV service modeling in Magneto networks2010Ingår i: 2010 IEEE/IFIP Network Operations and Management Symposium workshops: NOMS 2010 workshops ; 19 - 23 April 2010, Osaka, Japan, Piscataway, NJ: IEEE Communications Society, 2010, s. 51-54Konferensbidrag (Refereegranskat)
    Abstract [en]

    One of the main steps of service assurance is service monitoring using Key Performance Indicators (KPIs) and Service Level Agreements (SLAs). We show an approach for service modeling, first starting with an abstract service model that depends on the network. And then, we show how a corresponding model can be realized using a domain specific language. This solution is able to condense various sources of service model requirements into a condense formal and executable model including service decomposition and KPI aggregation. We have described this solution in the context of Magneto project and uses IPTV as a service in our description

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  • 274.
    Hao, Meng
    et al.
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
    Zhang, Weizhe
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China. Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China.
    Wang, Yiming
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
    Lu, Gangzhao
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
    Wang, Farui
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China.
    Vasilakos, Athanasios V.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. School of Electrical and Data Engineering, University Technology Sydney, Australia. e Department of Computer Science and Technology, Fuzhou University, Fuzhou 350116, China.
    Fine-grained Powercap Allocation for Power-constrained Systems based on Multi-objective Machine Learning2021Ingår i: IEEE Transactions on Parallel and Distributed Systems, ISSN 1045-9219, E-ISSN 1558-2183, Vol. 32, nr 7, s. 1789-1801Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Power capping is an important solution to keep the system within a fixed power constraint. However, for the power-constrained systems, powercap needs to be reasonably allocated according to the workloads of compute nodes to achieve trade-offs among performance, energy and powercap. Thus it is necessary to model performance and energy and to predict the optimal powercap allocation strategies. Existing power allocation approaches have insufficient granularity within nodes. Modeling approaches usually model performance and energy separately, ignoring the correlation between objectives, and do not expose the Pareto-optimal powercap configurations. Therefore, this paper proposes an approach to predict the Pareto-optimal powercap configurations on the power-constrained system for MPI and OpenMP parallel applications. It uses the elaboratly designed micro-benchmarks and a small number of existing benchmarks to build the training set, then applies a multi-objective machine learning algorithm which combines the stacked single-target with extreme gradient boosting to build multi-objective models. The models can be used to predict the optimal PKG and DRAM powercap settings, helping compute nodes perform fine-grained powercap allocation. Compared with the reference configuration, our models can achieve an average powercap reduction of up to 48%, average energy reduction of up to around 20%, with only 10%~30% maximum performance drop.

  • 275.
    Hasanov, Aziz
    et al.
    Ajou University.
    Laine, Teemu
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Chung, Tae-Sun
    Ajou University.
    A survey of adaptive context-aware learning environments2019Ingår i: Journal of Ambient Intelligence and Smart Environments, ISSN 1876-1364, E-ISSN 1876-1372, Vol. 11, nr 5, s. 403-428Artikel, forskningsöversikt (Refereegranskat)
    Abstract [en]

    Adaptive context-aware learning environments (ACALEs) can detect the learner’s context and adapt learning materi-als to match the context. The support for context-awareness and adaptation is essential in these systems so that they can makelearning contextually relevant. Previously, several related surveys have been conducted, but they are either outdated or they donot consider the important aspects of context-awareness, adaptation and pedagogy in the domain of ACALEs. To alleviate this,a comprehensive literature search on ACALEs was first performed. After filtering the results, 53 studies that were publishedbetween 2010 and 2018 were analyzed. The highlights of the results are: (i) mobile devices (PDAs, mobile phones, smartphones)are the most common client types, (ii) RFID/NFC are the most common sensors, (iii) ontology is the most common context mod-eling approach, (iv) context data typically originates from the learner profile or the learner’s location, (v) rule-based adaptationis the most used adaptation mechanism, and (vi) informative feedback is the most common feedback type. Additionally, we con-ducted a trend analysis on technology usage in ACALEs throughout the covered timespan, and proposed a taxonomy of contextcategories as well as several other taxonomies for describing various aspects of ACALEs. Finally, based on the survey results,directions for future research in the field were given. These results can be of interest to educational technology researchers andto developers of adaptive and context-aware applications.

  • 276.
    Havukainen, Martti
    et al.
    University of Eastern Finland, Joensuu, Finland.
    Laine, Teemu H.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Martikainen, Timo
    University of Eastern Finland, Joensuu, Finland.
    Sutinen, Erkki
    University of Turku, Turku, Finland.
    A Case Study on Co-designing Digital Games with Older Adults and Children: Game Elements, Assets, and Challenges2020Ingår i: The Computer Games Journal, E-ISSN 2052-773X, Vol. 9, nr 2, s. 163-188Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Digital games have traditionally been targeted at younger generations, although the proportion of older adult players is increasing. However, the design processes of digital games often do not consider the special needs of older adults. Co-design is a potential method to address this, but there is little research on co-designing games with older adults. In our study, we proposed a co-design process model that considers the intergenerational perspective. Using this model, eight older adults (two males and six females aged 47–80) and 22 sixth graders (11 males and 11 females aged 12–13) co-designed a digital game. The content of the game was based on old concepts used by the designers during their childhood. Similarly, game content involving new words and concepts were produced by the sixth graders. We collected data using semi-structured interviews and observations during the co-design process over a period of 24 months and then processed the data using grounded theory. The results indicated that the older adults identified seven game elements as essential to make games fun—appearance and aesthetics, competition, manageability of gameplay, social impact, familiarity, unpredictability, and intergenerational gameplay. Furthermore, we identified six assets that older adults have as game co-designers and five challenges that co-designing games with older adults may entail.

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  • 277.
    Hayajneh, Thaier
    et al.
    School of Engineering and Computing Sciences, New York Institute of Technology.
    Mohd, Bassam Jamil
    Computer Engineering Department, Hashemite University.
    Imran, Muhammad Al
    College of Computer and Information Sciences, Almuzahmiyah, King Saud University.
    Almashaqbeh, Ghada
    Computer Science Department, Columbia University, New York.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks2016Ingår i: Sensors, E-ISSN 1424-8220, Vol. 16, nr 4, artikel-id 424Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    There is broad consensus that remote health monitoring will benefit all stakeholders in the healthcare system and that it has the potential to save billions of dollars. Among the major concerns that are preventing the patients from widely adopting this technology are data privacy and security. Wireless Medical Sensor Networks (MSNs) are the building blocks for remote health monitoring systems. This paper helps to identify the most challenging security issues in the existing authentication protocols for remote patient monitoring and presents a lightweight public-key-based authentication protocol for MSNs. In MSNs, the nodes are classified into sensors that report measurements about the human body and actuators that receive commands from the medical staff and perform actions. Authenticating these commands is a critical security issue, as any alteration may lead to serious consequences. The proposed protocol is based on the Rabin authentication algorithm, which is modified in this paper to improve its signature signing process, making it suitable for delay-sensitive MSN applications. To prove the efficiency of the Rabin algorithm, we implemented the algorithm with different hardware settings using Tmote Sky motes and also programmed the algorithm on an FPGA to evaluate its design and performance. Furthermore, the proposed protocol is implemented and tested using the MIRACL (Multiprecision Integer and Rational Arithmetic C/C++) library. The results show that secure, direct, instant and authenticated commands can be delivered from the medical staff to the MSN nodes

  • 278.
    Hedemalm, Emil
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. School of Computing, Creative Technologies & Engineering, Leeds Beckett University, Leeds, United Kingdom.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kor, Ah-Lian
    School of Computing, Creative Technologies & Engineering, Leeds Beckett University, Leeds, United Kingdom.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Pattinson, Colin
    School of Computing, Creative Technologies & Engineering, Leeds Beckett University, Leeds, United Kingdom.
    Promoting Green Transportation via Persuasive Games2017Ingår i: Sustainable Ecological Engineering Design for Society (SEEDS): Conference Proceedings from the Third International Conference, LSIPublishing , 2017, s. 259-267Konferensbidrag (Refereegranskat)
    Abstract [en]

    It is now widely accepted that human behaviour accounts for a large portion of total global emissions, and thus influences climate change to a large extent (IPCC, 2014). Changing human behaviour when it comes to mode of transportation is one component which could make a difference in the long term. In order to achieve behavioural change, we investigate the use of a persuasive multiplayer game. Transportation mode recognition is used within the game to provide bonuses and penalties to users based on their daily choices regarding transportation. Preliminary results from testers of the game indicate that using games may be successful in causing positive change in user behaviour.

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  • 279.
    Hedman, Anders
    et al.
    Kungliga tekniska högskolan, KTH.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Cognitive Endurance for Brain Health: Challenges of Creating an Intelligent Warning System2015Ingår i: Künstliche Intelligenz, ISSN 0933-1875, E-ISSN 1610-1987, Vol. 29, nr 2, s. 123-129Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    During the past few years, the market for apps monitoring traditional health and wellbeing parameters such as heart rate, levels of physical activity and sleep patterns has rapidly expanded. In this paper, we articulate how we are currently engineering an early warning system designed to support long-term brain health, termed cognitive endurance, based on such monitoring. It can be thought of as a rudimentary expert system. It will monitor physical and social activity, stress and sleep patterns and signal when these parameters are such that a person’s cognitive endurance might be at risk. The aim of the system is to guide the user to adopt sustainable behavioral patterns from a cognitive endurance perspective. This paper articulates (1) what we mean by cognitive endurance, (2) how cognitive endurance may be enhanced, (3) our cognitive endurance monitoring platform, (4) our approach to calculating cognitive endurance risk, (5) specific challenges related to our approach and (6) what the long term benefits might be of successively monitoring cognitive endurance

  • 280.
    Hedman, Anders
    et al.
    Kungliga tekniska högskolan, KTH.
    Karvonen, Niklas
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Merilahti, Juho
    VTT Technical Research Centre of Finland, Espoo.
    Designing ICT for Health and Wellbeing2014Ingår i: Ambient Assisted Living and Daily Activities: 6th International Work-Conference, IWAAL 2014, Belfast, UK, December 2-5, 2014. Proceedings, Encyclopedia of Global Archaeology/Springer Verlag, 2014, s. 244-251Konferensbidrag (Refereegranskat)
    Abstract [en]

    We are developing a monitoring and coaching app for health and wellbeing based on (1) an allostatic model of adaption combined with (2) behavioural change theory and (3) user-oriented design. The (1) allostatic model comes from stress research and was introduced to explain how human health and wellbeing can be maintained. It suggests that human health and wellbeing is a complex multidimensional phenomenon that needs to be understood holistically. We have used this model to incorporate the dimensions of human health and wellbeing that are key for stress reduction: physical and social activity and sleep. The allostatic model can allow us to understand human health and wellbeing but it does not tell us how to support the behavioural changes needed in order to reach a healthy state of allostasis. For this we rely on (2) theory of behavioural change. This article describes how we have integrated (1-3) into the system design and reports from an initial workshop with users.

  • 281.
    Heintz, Fredrik
    et al.
    Linköping University.
    Mannila, Linda
    Linköping University.
    Nordén, Lars-Åke
    Uppsala University.
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Regnell, Björn
    Lund University.
    Introducing Programming and Digital Competence in Swedish K-9 Education2017Ingår i: Informatics in Schools: Focus on Learning Programming. ISSEP 2017 / [ed] Valentina Dagienė, Arto Hellas, Cham: Springer, 2017, s. 117-128Konferensbidrag (Refereegranskat)
    Abstract [en]

    The role of computer science and IT in Swedish schools has varied throughout the years. In fall 2014, the Swedish government gave the National Agency for Education (Skolverket) the task of preparing a proposal for K–9 education on how to better address the competences required in a digitalized society. In June 2016, Skolverket handed over a proposal introducing digital competence and programming as interdisciplinary traits, also providing explicit formulations in subjects such as mathematics (programming, algorithms and problem-solving), technology (controlling physical artifacts) and social sciences (fostering aware and critical citizens in a digital society). In March 2017, the government approved the new curriculum, which needs to be implemented by fall 2018 at the latest. We present the new K–9 curriculum and put it in a historical context. We also describe and analyze the process of developing the revised curriculum, and discuss some initiatives for how to implement the changes.

  • 282.
    Heintz, Fredrik
    et al.
    Linköping University, Linköping, Sweden.
    Mannila, Linda
    Linköping University, Linköping, Sweden.
    Nygårds, Karin
    Sjöstadsskolan, Stockholm, Sweden.
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Regnell, Björn
    Lund University, Lund, Sweden.
    Computing at School in Sweden: Experiences from Introducing Computer Science within Existing Subjects2015Ingår i: Informatics in Schools. Curricula, Competences, and Competitions: 8th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2015 Ljubljana, Slovenia, September 28 – October 1, 2015, Proceedings / [ed] Andrej Brodnik; Jan Vahrenhold, Encyclopedia of Global Archaeology/Springer Verlag, 2015, s. 118-130Konferensbidrag (Refereegranskat)
    Abstract [en]

    Computing is no longer considered a subject area only relevant for a narrow group of professionals, but rather as a vital part of general education that should be available to all children and youth. Since making changes to national curricula takes time, people are trying to find other ways of introducing children and youth to computing. In Sweden, several current initiatives by researchers and teachers aim at finding ways of working with computing within the current curriculum. In this paper we present case studies based on a selection of these initiatives from four major regions in Sweden and based on these case studies we present our ideas for how to move forward on introducing computational thinking on a larger scale in Swedish education.

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  • 283.
    Hermansson, Cajsa-Tora
    et al.
    Umeå university.
    Söderström, Mikael
    Umeå university.
    Johansson, Dan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Developing useful mobile applications in cross media platforms2014Konferensbidrag (Refereegranskat)
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  • 284.
    Hirche, Johannes
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Bomark, Peter
    Natural User Interface Europe AB.
    Bauer, Mikael
    Natural User Interface Europe AB.
    Solyga, Pawel
    Natural User Interface Europe AB.
    Adaptive interface for text input on large-scale interactive surfaces2008Ingår i: 2008 IEEE International Workshop on Horizontal Interactive Human-Computer System: Amsterdam, Netherlands, 1 - 3 October 2008, Piscataway, NJ: IEEE Communications Society, 2008, s. 163-166Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we present a novel approach to text input on large interactive surfaces using a combination of strategies to resolve the inherent difficulties with text input on such a device. Instead of using a conventional full size QWERTY based layout, the idea is to use a very limited set of buttons that, by using word prediction and hints, would only require minimal finger movement. The input mechanism is somewhat related to input methods employed when using keyboards with a limited size and amount of keys, commonly found in phones and other 10 digit keyboards. Given that the main motivation to this approach was not the limited size but rather to overcome the difficult task of locating keys with fingers on a flat and featureless surface, making touchtyping very difficult and requiring frequent visual monitoring of the finger position, we opted to enhance the interaction with easily made gestures, a layout that adapts to the hand anatomy of the user, and easy control over the text prediction.

  • 285.
    Holmgren, Mikael
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Johansson, Dan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    A web-based time machine with augmented reality2014Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this demo paper we present ”The Time Machine”, a web-based app prototype, running in a web browser. The prototype uses the WebRTC API getUserMedia to gain access to the device camera. With access to the device camera, it is possible to implement an augmented reality view where the user can point the device at a location and access multimedia information of the past, the present, and even the future. The purpose of this paper is to stretch the mindset on what the web browser in a mobile device can be used for.

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  • 286.
    Holst, Marita
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Project: Advanced Pilots Of Living Labs Operataing in Networks2012Övrigt (Övrig (populärvetenskap, debatt, mm))
    Abstract [en]

    The main issues addressed by APOLLON are the present lack of Living Lab harmonisation and collaboration, and the serious difficulties of SMEs in engaging in cross-border innovation. APOLLON will demonstrate the positive impacts of cross-border domain-specific Living Lab networks, by setting up an advanced pilot composed of 4 thematically focused European-wide Living Lab experiments. In the experiments, SMEs are enabled to take part in cross-border Living Lab experiments beyond their home markets, and are supported by large industrial companies, academic centres and other stakeholders. The APOLLON pilot aims at the sharing and harmonisation of Living Lab approaches and platforms between networks of exemplary European Living Labs, and the subsequent evaluation results and the set up of sustainable domain-specific networks on a European and global level. APOLLON addresses 4 major domains in which ICT products and services innovation may benefit most from cross-border Living Lab networking. These are: (1) Homecare and Independent Living, (2) Energy Efficiency, (3) eManufacturing and (4) eParticipation.

  • 287.
    Hong, Xin
    et al.
    Ulster University.
    Nugent, Chris
    Ulster University.
    Finley, Dewar
    Ulster University.
    Chen, Luke
    Ulster University.
    Davies, Richard
    Ulster University.
    Wang, Haiying
    Ulster University.
    Donnelly, Mark
    Ulster University.
    Zheng, Huiru
    Ulster University.
    Mulvenna, Maurice
    Ulster University.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    OpenHome: Approaches to Constructing Sharable Datasets within Smart Homes2009Ingår i: CHI '09: Extended Abstracts on Human Factors in Computing Systems, New York: ACM Digital Library, 2009Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper we present our initial efforts to develop approaches for structuring and building openly accessible, scalable, shared home behaviour datasets within smart home communities.

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  • 288.
    Hossain, Emam
    et al.
    Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
    Shariff, Mohd Arafath Uddin
    Department of Computer Science and Engineering, Port City International University, Chattogram, Bangladesh.
    Hossain, Mohammad Shahadat
    Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Novel Deep Learning Approach to Predict Air Quality Index2021Ingår i: Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020 / [ed] M. Shamim Kaiser, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray, Singapore: Springer, 2021, s. 367-381Konferensbidrag (Refereegranskat)
    Abstract [en]

    In accordance with the World Health Organization’s instruction, the air quality in Bangladesh is considered perilous. A productive and precise air quality index (AQI) is a must and one of the obligatory conditions for helping the society to be viable in lieu of the consequences of air contamination. If we know the index of air quality in advance, then it would be of a great help saving our health from air contamination. This study introduces an air quality index prediction model for two mostly polluted cities in Bangladesh: Dhaka and Chattogram. Gated recurrent unit (GRU), long short-term memory (LSTM) are the two robust variation of recurrent neural network (RNN). This model combines these two together. We have used GRU as first hidden layer and LSTM as the second hidden layer of the model, followed by two dense layers. After collecting and processing the data, the model was trained on 80% of the data and then validated against the remaining data. We have evaluated the performance of the model considering MSE, RMSE, and MAE to see how much error does the model produce. Results reflect that our model can follow the actual AQI trends for both cities. At last, we have juxtaposed the performance of our proposed hybrid model against a standalone GRU model and a standalone LSTM model. Results also show that combining these two models improves the overall model’s performance.

  • 289.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong, Bangladesh.
    Ahmed, Faisal
    University of Chittagong, Bangladesh.
    Tuj-Johora, Fatema
    University of Chittagong, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty2017Ingår i: Journal of medical systems, ISSN 0148-5598, E-ISSN 1573-689X, Vol. 41, nr 3, artikel-id 43Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs and symptoms of a patient. However, these signs and symptoms cannot be measured with 100\% certainty since they are associated with various types of uncertainties such as vagueness, imprecision, randomness, ignorance and incompleteness. Consequently, traditional primary diagnosis, based on these signs and symptoms, which is carried out by the physicians, cannot deliver reliable results. Therefore, this article presents the design, development and applications of a Belief Rule Based Expert System (BRBES) with the ability to handle various types of uncertainties to diagnose TB. The knowledge base of this system is constructed by taking experts' suggestions and by analyzing historical data of TB patients. The experiments, carried out, by taking the data of 100 patients demonstrate that the BRBES's generated results are more reliable than that of human expert as well as fuzzy rule based expert system. 

  • 290.
    Hossain, Mohammad Shahadat
    et al.
    Department of Computer Science and Engineering, University of Chittagong-4331, Bangladesh.
    Al Hasan, Abdullah
    Department of Computer Science and Engineering, University of Chittagong-4331, Bangladesh.
    Guha, Sunanda
    Department of Computer Science and Engineering, University of Chittagong-4331, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Belief Rule Based Expert System to Predict Earthquake under Uncertainty2018Ingår i: Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, ISSN 2093-5374, E-ISSN 2093-5382, Vol. 9, nr 2, s. 26-41Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The impact of earthquake is devastating, which has the capability to stop the socio-economic activities of a region within a short span of time. Therefore, an earlier prediction of earthquake could play an important role to save human lives as well as socio-economic activities. The signs of animal behavior along with environmental and chemical changes in nature could be considered as a way to predict the earthquake. These factors cannot be determined accurately because of the presence of different categories of uncertainties. Therefore, this article presents a belief rule based expert system (BRBES) which has the capability to predict earthquake under uncertainty. Historical data of various earthquakes of the world with specific reference to animal behavior as well as environmental and chemical changes have been considered in validating the BRBES. The reliability of our proposed BRBES’s output is measured in comparison with Fuzzy Logic Based Expert System (FLBES) and Artificial Neural Networks (ANN) based system, whereas our BRBES’s results are found more reliable than that of FLBES and ANN. Therefore, this BRBES can be considered to predict the occurrence of an earthquake in a region by taking account of the data, related to the animal, environmental and chemical changes.

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  • 291.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Naznin, Samina
    Department of Computer Science and Engineering, University of Chittagong.
    A Belief Rule Based Expert System to Diagnose Measles under Uncertainty2015Ingår i: Proceedings of the 2015 International Conference on Health Informatics and Medical Systems (HIMS'15) / [ed] Hamid R. Arabnia; Leonidas Deligiannidis; George Jandieri; Ashu M. G. Solo; Fernando G. Tinetti, CSREA Press, 2015, s. 17-23Konferensbidrag (Refereegranskat)
    Abstract [en]

    Measles is a highly infectious child disease that causes serious complications and death worldwide. Measles is generally diagnosed from its signs and symptoms by a physician, which cannot be measured with 100% certainty during the diagnosis process. Consequently, the traditional way of diagnosing measles from its signs and symptoms lacks the accuracy. Therefore, a belief rule-based inference methodology using evidential reasoning approach (RIMER), which is capable of handling various types of uncertainties has been used to develop an expert system to diagnose measles under uncertainty. The results, generated, from the system have been compared with the expert opinion as well as with a Fuzzy Logic based system. In both the cases, it has been found that the Belief Rule Based Expert (BRBES), presented in this paper, is more reliable and accurate.

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  • 292.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong, Bangladesh.
    Habib, Israt Binteh
    University of Chittagong.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Belief Rule based Expert System to Diagnose Dengue Fever under Uncertainty2017Ingår i: Proceedings of Computing Conference 2017 / [ed] Liming Chen, Nikola Serbedzija, Kami Makki, Nazih Khaddaj Mallat, Kohei Arai, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 179-186Konferensbidrag (Refereegranskat)
    Abstract [en]

    Dengue Fever is a debilitating mosquito-borne disease, causing sudden fever, leading to fatality in many cases. A Dengue patient is diagnosed by the physicians by looking at the various signs, symptoms and risk factors of this disease. However, these signs, symptoms and the risk factors cannot be measured with 100% certainty since various types of uncertainties such as imprecision, vagueness, ambiguity, and ignorance are associated with them. Hence, it is difficult for the physicians to diagnose the dengue patient accurately since they don’t consider the uncertainties as mentioned. Therefore, this paper presents the design, development and applications of an expert system by incorporating belief rule base as the knowledge representation schema as well as the evidential reasoning as the inference mechanism with the capability of handling various types of uncertainties to diagnose dengue fever. The results generated from the expert system are more reliable than from fuzzy rule based system or from human expert.

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  • 293.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong, Bangladesh.
    Rahaman, Saifur
    Department of Computer Science and Engineering, International Islamic University Chittagong.
    Kor, Ah-Lian
    School of Computing, Creative Technologies and Engineering, Leeds Beckett University.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Pattinson, Colin
    School of Computing, Creative Technologies and Engineering, Leeds Beckett University.
    A Belief Rule Based Expert System for Datacenter PUE Prediction under Uncertainty2017Ingår i: IEEE Transactions on Sustainable Computing, ISSN 2377-3782, Vol. 2, nr 2, s. 140-153Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A rapidly emerging trend in the IT landscape is the uptake of large-scale datacenters moving storage and data processing to providers located far away from the end-users or locally deployed servers. For these large-scale datacenters, power efficiency is a key metric, with the PUE (Power Usage Effectiveness) and DCiE (Data Centre infrastructure Efficiency) being important examples. This article proposes a belief rule based expert system to predict datacenter PUE under uncertainty. The system has been evaluated using real-world data from a data center in the UK. The results would help planning construction of new datacenters and the redesign of existing datacenters making them more power efficient leading to a more sustainable computing environment. In addition, an optimal learning model for the BRBES demonstrated which has been compared with ANN and Genetic Algorithm; and the results are promising.

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  • 294.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong, Bangladesh.
    Rahaman, Saifur
    International Islamic University Chittagong.
    Mustafa, Rashed
    University of Chittagong, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A belief rule-based expert system to assess suspicion of acute coronary syndrome (ACS) under uncertainty2018Ingår i: Soft Computing - A Fusion of Foundations, Methodologies and Applications, ISSN 1432-7643, E-ISSN 1433-7479, Vol. 22, nr 22, s. 7571-7586Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Acute coronary syndrome (ACS) is responsible for the obstruction of coronary arteries, resulting in the loss of lives. The onset of ACS can be determined by looking at the various signs and symptoms of a patient. However, the accuracy of ACS determination is often put into question since there exist different types of uncertainties with the signs and symptoms. Belief rule-based expert systems (BRBESs) are widely used to capture uncertain knowledge and to accomplish the task of reasoning under uncertainty by employing belief rule base and evidential reasoning. This article presents the process of developing a BRBES to determine ACS predictability. The BRBES has been validated against the data of 250 patients suffering from chest pain. It is noticed that the outputs created from the BRBES are more dependable than that of the opinion of cardiologists as well as other two expert system tools, namely artificial neural networks and support vector machine. Hence, it can be argued that the BRBES is capable of playing an important role in decision making as well as in avoiding costly laboratory investigations. A procedure to train the system, allowing its enhancement of performance, is also presented.

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  • 295.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong, Bangladesh.
    Sultana, Zinnia
    International Islamic University Chittagong, Bangladesh.
    Nahar, Lutfun
    International Islamic University Chittagong, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    An Intelligent System to Diagnose Chikungunya under Uncertainty2019Ingår i: Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, ISSN 2093-5374, E-ISSN 2093-5382, Vol. 10, nr 2, s. 37-54Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Chikungunya is a virus-related disease, bring about by the virus called CHIKV that spreads throughmosquito biting. This virus first found in Tanzania, while blood from patients was isolated. Thecommon signs and symptoms, associated with Chikungunya are considered as fever, joint swelling,joint pain, muscle pain and headache. The examination of these signs and symptoms by the physician constitutes the typical preliminary diagnosis of this disease. However, the physician is unable tomeasure them with accuracy. Therefore, the preliminary diagnosis in most of the cases could sufferfrom inaccuracy, which leads to wrong treatment. Hence, this paper introduces the design and implementation of a belief rule based expert system (BRBES) which is capable to represent uncertainknowledge as well as inference under uncertainty. Here, the knowledge is illustrated by employing belief rule base while deduction is carried out by evidential reasoning. The real patient data of250 have been considered to demonstrate the accuracy and the robustness of the expert system. Acomparison has been performed with the results of BRBES and Fuzzy Logic Based Expert System(FLBES) as well as with the expert judgment. Furthermore, the result of BRBES has been contrastedwith various data-driven machine learning approaches, including ANN (Artificial Neural networks)and SVM (Support Vector Machine). The reliability of BRBESs was found better than those of datadriven machine learning approaches. Therefore, the BRBES presented in this paper could enable thephysician to conduct the analysis of Chikungunya more accurately.

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  • 296.
    Hossain, Mohammad Shahadat
    et al.
    University of Chittagong, Bangladesh.
    Tuj-Johora, Fatema
    University of Chittagong, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Belief Rule Based Expert System to Assess Hypertension under Uncertainty2019Ingår i: Journal of Internet Services and Information Security (JISIS), ISSN 2182-2069, E-ISSN 2182-2077, Vol. 9, nr 4, s. 18-38, artikel-id 2Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Hypertension (HPT) plays an important role, especially for stroke and heart diseases. Therefore, theaccurate assessment of hypertension is becoming a challenge. However, the presence of uncertainties, associated with the signs and symptoms of HPT are becoming crucial to conduct the preciseassessment. This article presents a web-based expert system (web BRBES) by employing beliefrule based (BRB) methodology to assess HPT, allowing the generation of reliable results. In order tocheck the reliability of the system, a comparison has been performed among various approaches suchas decision tree, random forest, artificial neural networks, fuzzy rule based expert system and experts’opinion. Different performance metrics such as confusion matrix, accuracy, root mean square error,area under curve have been used to contrast the reliability of the approaches. The BRBES producesa more reliable result than from the other approaches. Moreover, the user friendliness of the webBRBES found high as obtained by using the PACT (People, Activities, Contexts, Technologies) approach over 200 people.

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  • 297.
    Hridoy, Md Rafiul Sabbir
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Islam, Raihan Ul
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hossain, Mohammad Shahadat
    Department of Computer Science and Engineering, University of Chittagong.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Web Based Belief Rule Based Expert System for Assessing Flood Risk2017Ingår i: iiWAS'17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services, New York: ACM Digital Library, 2017, s. 434-440Konferensbidrag (Refereegranskat)
    Abstract [en]

    Natural calamities such as flooding, volcanic eruption, tornado hampers our daily life and causes many sufferings. Flood is one of the most catastrophic among the natural calamities. Assessing flood risk helps us to take necessary steps and save human lives. Several heterogeneous factors are used to assess flood risk on the livelihood of an area. Moreover, several types of uncertainties can be associated with each factor. In this paper, we propose a web based flood risk assessment expert system by combining belief rule base with the capability of reading data and generating web-based output. This paper also introduces a generic RESTful API which can be used without writing the belief rule based expert system from scratch. This expert system will facilitate the monitoring of the various flood risk factors, contributing in increasing the flood risk on livelihood of an area. Eventually, the decision makers should be able to take measures to control those factors and to reduce the risk of flooding in an area. Data for the expert system has been collected from a case study area by conducting interviews.

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  • 298.
    Hu, Jiankun
    et al.
    University of New South Wales, Canberra.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Energy Big Data Analytics and Security: Challenges and Opportunities2016Ingår i: IEEE Transactions on Smart Grid, ISSN 1949-3053, E-ISSN 1949-3061, Vol. 7, nr 5, s. 2423-2436Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The limited available fossil fuels and the call for sustainable environment have brought about new technologies for the high efficiency in the use of fossil fuels and introduction of renewable energy. Smart grid is an emerging technology that can fulfill such demands by incorporating advanced information and communications technology (ICT). The pervasive deployment of the advanced ICT, especially the smart metering, will generate big energy data in terms of volume, velocity, and variety. The generated big data can bring huge benefits to the better energy planning, efficient energy generation and distribution. As such data involve end users’ privacy and secure operation of the critical infrastructure, there will be new security issues. This paper is to survey and discuss new findings and developments in the existing big energy data analytics and security. Several taxonomies have been proposed to express the intriguing relationships of various variables in the field.

  • 299.
    Hu, Liang
    et al.
    Department of Computer Science, Brunel University London, United Kingdom.
    Wang, Zidong
    Department of Computer Science, Brunel University London, United Kingdom.
    Liu, Xiaohui
    Department of Computer Science, Brunel University London, United Kingdom.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Alsaadi, Fuad Eid S.
    Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia.
    Recent advances on state estimation for power grids with unconventional measurements2017Ingår i: IET Control Theory & Applications, ISSN 1751-8644, E-ISSN 1751-8652, Vol. 11, nr 18, s. 3221-3232Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    State estimation problem for power systems has long been a fundamental issue that demands a variety of methodologies depending on the system settings. With the recent introduction of advanced devices of phasor measurement units (PMUs) and dedicated communication networks, the infrastructure of power grids has been greatly improved. Coupled with the infrastructure improvements are three emerging issues for the state estimation problems, namely, the coexistence of both traditional and PMU measurements, the incomplete information resulting from delayed, asynchronous and missing measurements due to communication constraints, and the cyber-attacks on the communication channels. In this study, the authors aim to survey some recent advances on the state estimation methods which tackle the above three issues in power grids. Traditional state estimation methods applied in power grids are first introduced. Latest results on state estimation with mixed measurements and incomplete measurements are then discussed in great detail. In addition, the techniques developed to ensure the cyber-security of the state estimation schemes for power grids are highlighted. Finally, some concluding remarks are given and some possible future research directions are pointed out. 

  • 300.
    Huang, Mingfeng
    et al.
    School of Information Science and Engineering, Central South University, Changsha 410083, China..
    Liu, Anfeng
    School of Information Science and Engineering, Central South University, Changsha 410083, China.
    Xiong, Neal N.
    Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, USA.
    Wang, Tian
    School of Computer Science, National Huaqiao University, Quanzhou 362000, China..
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    A Low-Latency Communication Scheme for Mobile Wireless Sensor Control Systems2019Ingår i: IEEE Transactions on Systems, Man & Cybernetics. Systems, ISSN 2168-2216, E-ISSN 2168-2232, Vol. 49, nr 2, s. 317-332Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Millions of dedicated sensors are deployed in smart cities to enhance quality of urban living. Communication technologies are critical for connecting these sensors and transmitting events to sink. In control systems of mobile wireless sensor networks (MWSNs), mobile nodes are constantly moving to detect events, while static nodes constitute the communication infrastructure for information transmission. Therefore, how to communicate with sink quickly and effectively is an important research issue for control systems of MWSNs. In this paper, a communication scheme named first relay node selection based on fast response and multihop relay transmission with variable duty cycle (FRAVD) is proposed. The scheme can effectively reduce the network delay by combining first relay node selection with node duty cycles setting. In FRAVD scheme, first, for the first relay node selection, we propose a strategy based on fast response, that is, select the first relay node from adjacent nodes in the communication range within the shortest response time, and guarantee that the remaining energy and the distance from sink of the node are better than the average. Then for multihop data transmission of static nodes, variable duty cycle is introduced novelty, which utilizes the residual energy to improve the duty cycle of nodes in far-sink area, because nodes adopt a sleep-wake asynchronous mode, increasing the duty cycle can significantly improve network performance in terms of delays and transmission reliability. Our comprehensive performance analysis has demonstrated that compared with the communication scheme with fixed duty cycle, the FRAVD scheme reduces the network delay by 24.17%, improves the probability of finding first relay node by 17.68%, while also ensuring the network lifetime is not less than the previous researches, and is a relatively efficient low-latency communication scheme.

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