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  • 151.
    Chowdhury, Rumman Rashid
    et al.
    Department of Computer Science and Engineering, University of Chittagong, Chittagong, Bangladesh.
    Hossain, Mohammad Shahadat
    Department of Computer Science and Engineering, University of Chittagong, Chittagong, Bangladesh.
    Hossain, Sazzad
    Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Analyzing Sentiment of Movie Reviews in Bangla by Applying Machine Learning Techniques2019Ingår i: Proceedings of the International Conference on Bangla Speech and Language Processing, IEEE, 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    This paper proposes a process of sentiment analysis of movie reviews written in Bangla language. This process can automate the analysis of audience’s reaction towards a specific movie or TV show. With more and more people expressing their opinions openly in the social networking sites, analyzing the sentiment of comments made about a specific movie can indicate how well the movie is being accepted by the general public. The dataset used in this experiment was collected and labeled manually from publicly available comments and posts from social media websites. Using Support Vector Machine algorithm, this model achieves 88.90% accuracy on the test set and by using Long Short Term Memory network [1] the model manages to achieve 82.42% accuracy. Furthermore, a comparison with some other machine learning approaches is presented in this paper.

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  • 152.
    Chowdhury, Rumman Rashid
    et al.
    Department of Computer Science and Engineering, University of Chittagong, Chittagong, Bangladesh.
    Hossain, Mohammad Shahadat
    Department of Computer Science and Engineering, University of Chittagong, Chittagong, Bangladesh.
    Islam, Raihan Ul
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    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.
    Bangla Handwritten Character Recognition using Convolutional Neural Network with Data Augmentation2019Ingår i: Joint 2019 8th International Conference on Informatics, Electronics and Vision (ICIEV) & 3rd International Conference on Imaging, Vision & Pattern Recognition (IVPR) with International Conference on Activity and Behavior Computing (ABC), IEEE, 2019, s. 318-323Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper proposes a process of Handwritten Character Recognition to recognize and convert images of individual Bangla handwritten characters into electronically editable format, which will create opportunities for further research and can also have various practical applications. The dataset used in this experiment is the BanglaLekha-Isolated dataset [1]. Using Convolutional Neural Network, this model achieves 91.81% accuracy on the alphabets (50 character classes) on the base dataset, and after expanding the number of images to 200,000 using data augmentation, the accuracy achieved on the test set is 95.25%. The model was hosted on a web server for the ease of testing and interaction with the model. Furthermore, a comparison with other machine learning approaches is presented.

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  • 153.
    Chronéer, Diana
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Johansson, Jeaneth
    Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, Innovation och Design.
    Nilsson, Michael
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Runardotter, Mari
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Digital platform ecosystems: From information transactions to collaboration impact2017Konferensbidrag (Refereegranskat)
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  • 154.
    Chude-Okonkwo, U.A.K.
    et al.
    University of Pretoria, South Africa.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Malekian, Reza
    University of Pretoria, South Africa.
    Maharaj, Bodhaswar T.J.
    University of Pretoria, South Africa.
    Simulation analysis of inter-symbol interference in diffusion-based molecular communication with non-absorbing receiver2017Ingår i: Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017, New York: ACM Digital Library, 2017, artikel-id 13Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents the analysis of inter-symbol interference (ISI) in a typical diffusion-based molecular communication system for a non-absorbing molecular receiver with no consideration to any artificially applied ISI mitigation technique. We employ stochastic simulation approach to analyze the influence of varied number of transmitted molecules, and molecules' degradation rates.

  • 155.
    Chude-Okonkwo, Uche A. K.
    et al.
    University of Pretoria.
    Maharaj, B. T.
    University of Pretoria.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Malekian, Reza
    University of Pretoria.
    Exploring the Impact of Ligand Residence Time on Molecular Communication System Performance2019Ingår i: 2019 IEEE Global Communications Conference (GLOBECOM), IEEE, 2019Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Information reception in artificially synthesized molecular communication (MC) systems ideally follows the mechanisms employed by natural nanosystems to communicate. One of such reception mechanism is the so called ligand-receptor binding. Contemporary research in MC has considerably discussed this mechanism; however, the impact of a crucial parameter associated with the ligand-receptor binding action has not been given appropriate attention in the MC literature. This parameter is termed the residence time, and has played very crucial role in defining for instance, the efficacy of drugs in therapeutic processes; hence, it is critical in the performance of MC. In this paper, we employ biophysical approach to model and discuss the influence of the ligand residence time on the performance of MC systems. The performance metrics considered here are the receiver sensitivity and the intersymbol interference. Numerical results that expose the impact of the residence time on these metrics, and the interrelationships between these metrics in MC system, are discussed.

  • 156.
    Chude-Okonkwo, Uche A. K.
    et al.
    Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa. Institute of Intelligent Systems, University of Johannesburg, Gauteng 2006, South Africa.
    Maharaj, B. T.
    Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
    Vasilakos, Athanasios V.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Malekian, Reza
    Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
    Information-Theoretic Model and Analysis of Molecular Signaling in Targeted Drug Delivery2020Ingår i: IEEE Transactions on Nanobioscience, ISSN 1536-1241, E-ISSN 1558-2639, Vol. 19, nr 2, s. 270-284Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Targeted drug delivery (TDD) modality promises a smart localization of appropriate dose of therapeutic drugs to the targeted part of the body at reduced system toxicity. To achieve the desired goals of TDD, accurate analysis of the system is important. Recent advances in molecular communication (MC) present prospects to analyzing the TDD process using engineering concepts and tools. Specifically, the MC platform supports the abstraction of TDD process as a communication engineering problem in which the injection and transportation of drug particles in the human body and the delivery to a specific tissue or organ can be analyzed using communication engineering tools. In this paper we stand on the MC platform to present the information-theoretic model and analysis of the TDD systems. We present a modular structure of the TDD system and the probabilistic models of the MC-abstracted modules in an intuitive manner. Simulated results of information-theoretic measures such as the mutual information are employed to analyze the performance of the TDD system. Results indicate that uncertainties in drug injection/release systems, nanoparticles propagation channel and nanoreceiver systems influence the mutual information of the system, which is relative to the system’s bioequivalence measure.

  • 157.
    Chude-Okonkwo, Uche A.K.
    et al.
    Department of Electrical, Electronic & Computer Engineering, University of Pretoria.
    Malekian, Reza
    Department of Electrical, Electronic & Computer Engineering, University of Pretoria.
    Maharaj, B.T.
    Department of Electrical, Electronic & Computer Engineering, University of Pretoria.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Molecular Communication and Nanonetwork for Targeted Drug Delivery: a survey2017Ingår i: IEEE Communications Surveys and Tutorials, E-ISSN 1553-877X, Vol. 19, nr 4, s. 3046-3096Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Molecular communication (MC) and molecular network (MN) are communication paradigms that use biochemical signalling to achieve information exchange among naturally and artificially synthesized nanosystems. Among the envisaged application areas of MC and MN is the field of nanomedicine where the subject of targeted drug delivery (TDD) is at the forefront. Typically, when someone gets sick, therapeutic drugs are administered to the person for healing purpose. Since no therapeutic drug can be effective until it is delivered to the target site in the body, different modalities to improve the delivery of drugs to the targeted sites are being explored in contemporary research. The most promising of these modalities is TDD. TDD modality promises a smart localization of appropriate dose of therapeutic drugs to the targeted part of the body at reduced system toxicity. Research in TDD has been going on for many years in the field of medical science; however, the translation of expectations and promises to clinical reality has not been satisfactorily achieved because of several challenges. The exploration of TDD ideas under the MC and MN paradigms is considered as an option to addressing these challenges and to facilitate the translation of TDD from the bench to the patients’ bedsides. Over the past decade, there have been some research efforts made in exploring the ideas of TDD on the MC and MN platforms. While the number of research output in terms of scientific articles is few at the moment, the desire in the scientific community to participate in realizing the goal of TDD is quite high as is evidence from the rise in research output over the last few years. To increase awareness and provide the multidisciplinary research community with the necessary background information on TDD, this paper presents a visionary survey of this subject within the domain of MC and MN. We start by introducing in an elaborate manner, the motivation behind the application of MC and MN paradigms to the study and implementation of TDD. Specifically, an explanation on how MC-based TDD concepts differ from traditional TDD being explored under the field of medical science is provided. We also summarize the taxonomy of the different perspectives through which MC-based TDD research can be viewed. System models and design challenges/requirements for developing MC-based TDD are discussed. Various metrics that can be used to evaluate the performance of MC-based TDD systems are highlighted. We also provide a discussion on the envisaged path from contemporary research activities to clinical implementation of the MC-based TDD. Finally, we discuss issues such as informatics and software tools, as well as issues that border on the requirement for standards and regulatory policies in MC-based TDD research and practice.

  • 158.
    Cleland, Ian
    et al.
    Ulster University.
    Donnelly, Mark
    Ulster University.
    Nugent, Chris
    Ulster University.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Espinilla, Macarena
    University of Jaen.
    García-Constantino, Matías
    Ulster University.
    Collection of a Diverse, Naturalistic and Annotated Dataset for Wearable Activity Recognition2018Ingår i: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE, 2018, s. 555-560Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper discusses the opportunities and challenges associated with the collection of a large scale, diverse dataset for Activity Recognition. The dataset was collected by 141 undergraduate students, in a controlled environment. Students collected triaxial accelerometer data from a wearable accelerometer whilst each carrying out 3 of the 18 investigated activities, categorized into 6 scenarios of daily living. This data was subsequently labelled, anonymized and uploaded to a shared repository. This paper presents an analysis of data quality, through outlier detection and assesses the suitability of the dataset for the creation and validation of Activity Recognition models. This is achieved through the application of a range of common data driven machine learning approaches. Finally, the paper describes challenges identified during the data collection process and discusses how these could be addressed. Issues surrounding data quality, in particular, identifying and addressing poor calibration of the data were identified. Results highlight the potential of harnessing these diverse data for Activity Recognition. Based on a comparison of six classification approaches, a Random Forest provided the best classification (F-measure: 0.88). In future data collection cycles, participants will be encouraged to collect a set of “common” activities, to support generation of a larger homogeneous dataset. Future work will seek to refine the methodology further and to evaluate model on new unseen data.

  • 159.
    Cleland, Ian
    et al.
    School of Computing and Mathematics, University of Ulster, Jordanstown, Co. Antrim, Northern Ireland BT37 0QB, UK.
    Kikhia, Basel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Nugent, Chris
    School of Computing and Mathematics, University of Ulster, Jordanstown, Co. Antrim, Northern Ireland BT37 0QB, UK.
    Boytsov, Andrey
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    McClean, Sally
    Computing and Information Engineering, University of Ulster, Coleraine, Co. Londonderry, Northern Ireland BT52 1SA, UK.
    Finlay, Dewar
    School of Computing and Mathematics, University of Ulster, Jordanstown, Co. Antrim, Northern Ireland BT37 0QB, UK.
    Optimal Placement of Accelerometers for the Detection of Everyday Activities2013Ingår i: Sensors, E-ISSN 1424-8220, Vol. 13, nr 7, s. 9183-9200Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article describes an investigation to determine the optimal placement of accelerometers for the purpose of detecting a range of everyday activities. The paper investigates the effect of combining data from accelerometers placed at various bodily locations on the accuracy of activity detection. Eight healthy males participated within the study. Data were collected from six wireless tri-axial accelerometers placed at the chest, wrist, lower back, hip, thigh and foot. Activities included walking, running on a motorized treadmill, sitting, lying, standing and walking up and down stairs. The Support Vector Machine provided the most accurate detection of activities of all the machine learning algorithms investigated. Although data from all locations provided similar levels of accuracy, the hip was the best single location to record data for activity detection using a Support Vector Machine, providing small but significantly better accuracy than the other investigated locations. Increasing the number of sensing locations from one to two or more statistically increased the accuracy of classification. There was no significant difference in accuracy when using two or more sensors. It was noted, however, that the difference in activity detection using single or multiple accelerometers may be more pronounced when trying to detect finer grain activities. Future work shall therefore investigate the effects of accelerometer placement on a larger range of these activities.

  • 160.
    Comas-González, Zhoe
    et al.
    Department of Computer Science and Electronics, Universidad de la Costa, 080 002, Barranquilla, Colombia; Department of Computer Science and Electronics, Universidad de Granada, Granada, España.
    Mardini, Johan
    Department of Computer Science and Electronics, Universidad de la Costa, 080 002, Barranquilla, Colombia.
    Butt, Shariq Aziz
    Department of Computer science, University of South Asia, Lahore, Cantt, Pakistan.
    Sanchez-Comas, Andres
    Department of Productivity and Innovation, Universidad de la Costa, 080 002, Barranquilla, Colombia.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Joliet, Aurelian
    Department of Informatics, National Institute of Applied Sciences of Lyon, 69621, Villeurbanne, France.
    Delahoz-Franco, Emiro
    Department of Computer Science and Electronics, Universidad de la Costa, 080 002, Barranquilla, Colombia.
    Molina-Estren, Diego
    Department of Computer Science and Electronics, Universidad de la Costa, 080 002, Barranquilla, Colombia.
    Piñeres-Espitia, Gabriel
    Department of Computer Science and Electronics, Universidad de la Costa, 080 002, Barranquilla, Colombia.
    Naz, Sumera
    Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan.
    Ospino-Balcázar, Daniela
    Department of Computer Science and Electronics, Universidad de la Costa, 080 002, Barranquilla, Colombia.
    Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments2024Ingår i: Automatic control and computer sciences, ISSN 0146-4116, E-ISSN 1558-108X, Vol. 58, nr 1, s. 33-42Artikel i tidskrift (Refereegranskat)
  • 161.
    Comas-González, Zhoe
    et al.
    Universidad de la Costa, Barranquilla, Colombia.
    Sánchez-Comas, Andrés
    Universidad de la Costa, Barranquilla, Colombia.
    De-La-Hoz-Franco, Emiro
    Universidad de la Costa, Barranquilla, Colombia.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Sánchez, Joaquín F.
    Universidad Manuela Beltrán, Bogotá, Colombia.
    Collazos-Morales, Carlos
    Universidad Manuela Beltrán, Bogotá, Colombia.
    Technology Contribution to Improve Autistic Children Life Quality2020Ingår i: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, Vol. 12462 LNAI, s. 176-185Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    To review published literature on the use of technology and how it has improved autistic children life style. A systematic review of the English literature was performed using the PRISMA guideline. Papers indexed in WOS and Scopus databases were included, adjusted to a timeline between 2016 and 2020 and focused on mobile technology, interventions, improvement of social behavior and communication and autism, aimed to describe the most used mechanism to improve autistic life style. Thirty two (32) papers were included in the review. We obtained 14 papers on the Scopus database and 18 on the WOS database. The majority of studies evidenced the use of virtual reality, mobile devices, video modelling and robots as the most common applications for autism therapies. Technology has caused an improvement in autistic children life quality. The development of mobile applications, virtual reality applications and robots have showed a positive impact reflected in the performance of daily activities and a better understanding of how they feel, how to behave, how to express themselves and interact with others. Technology gives the opportunity to monitor children status; and offers adaptability, safety, and accuracy of the information. © 2020, Springer Nature Switzerland AG.

  • 162.
    Cruciani, Federico
    et al.
    School of Computing, Ulster University, Jordanstown, Northern Ireland, UK.
    Cleland, Ian
    School of Computing, Ulster University, Jordanstown, Northern Ireland, UK.
    Nugent, Chris
    School of Computing, Ulster University, Jordanstown, Northern Ireland, UK.
    McCullagh, Paul
    School of Computing, Ulster University, Jordanstown, Northern Ireland, UK.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Personalized Online Training for Physical Activity monitoring using weak labels2018Ingår i: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE, 2018, s. 567-572Konferensbidrag (Refereegranskat)
    Abstract [en]

    The use of smartphones for activity recognition is becoming common practice. Most approaches use a single pretrained classifier to recognize activities for all users. Research studies, however, have highlighted how a personalized trained classifier could provide better accuracy. Data labeling for ground truth generation, however, is a time-consuming process. The challenge is further exacerbated when opting for a personalized approach that requires user specific datasets to be labeled, making conventional supervised approaches unfeasible. In this work, we present early results on the investigation into a weakly supervised approach for online personalized activity recognition. This paper describes: (i) a heuristic to generate weak labels used for personalized training, (ii) a comparison of accuracy obtained using a weakly supervised classifier against a conventional ground truth trained classifier. Preliminary results show an overall accuracy of 87% of a fully supervised approach against a 74% with the proposed weakly supervised approach.

  • 163.
    Cruciani, Federico
    et al.
    School of Computing, Ulster University, Newtownabbey UK.
    Nugent, Chris D.
    School of Computing, Ulster University, Newtownabbey UK.
    Medina Quero, Javier
    University of Jaen, Jaen Spain.
    Cleland, Ian
    School of Computing, Ulster University, Newtownabbey UK.
    McCullagh, Paul
    School of Computing, Ulster University, Newtownabbey UK.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Personalizing Activity Recognition with a Clustering based Semi-Population Approach2020Ingår i: IEEE Access, E-ISSN 2169-3536, Vol. 8, s. 207794-207804Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Smartphone-based approaches for Human Activity Recognition have become prevalent in recent years. Despite the amount of research undertaken in the field, issues such as cross-subject variability are still posing an obstacle to the deployment of solutions in large scale, free-living settings. Personalized methods (i.e. aiming to adapt a generic classifier to a specific target user) attempt to solve this problem. The lack of labeled data for training purposes, however, represents a major barrier. This is especially the case when taking into consideration that personalization generally requires labeled data to be user-specific. This paper presents a novel personalization method combining a semi-population based approach with user adaptation. Personalization is achieved through the following. Firstly, the proposed method identifies a subset of users from the available population as best candidates for initializing the classifier to the target user. Subsequently, a semi-population Neural Network classifier is trained using data from this subset of users. The classifier’s network weights are then updated using a small amount of labeled data from the target user subsequently implementing personalization. This approach was validated on a large publicly available dataset collected in a free-living scenario. The personalized approach using the proposed method has shown to improve the overall F-score to 74.4% compared to 70.9% when using a generic non-personalized approach. Results obtained, with statistical significance being confirmed on a set of 57 users, indicate that model initialization using the semi-population approach can reduce the amount of labeled data required for personalization. As such, the proposed method for model initialization could facilitate the real-world deployment of systems implementing personalization by reducing the amount of data needed for personalization.

  • 164.
    Cruciani, Frederico
    et al.
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    Cleland, Ian
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    Nugent, Chris
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    McCullagh, Paul
    Computer Science Research Institute, Ulster University, Newtownabbey BT370QB, UK.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Automatic annotation for human activity recognition in free living using a smartphone2018Ingår i: Sensors, E-ISSN 1424-8220, Vol. 18, nr 7, artikel-id 2203Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, especially in the case of online and personalized approaches requiring user specific datasets to be labeled. The availability of such datasets has the potential to help address common problems of smartphone-based HAR, such as inter-person variability. In this work, we present (i) an automatic labeling method facilitating the collection of labeled datasets in free-living conditions using the smartphone, and (ii) we investigate the robustness of common supervised classification approaches under instances of noisy data. We evaluated the results with a dataset consisting of 38 days of manually labeled data collected in free living. The comparison between the manually and the automatically labeled ground truth demonstrated that it was possible to obtain labels automatically with an 80–85% average precision rate. Results obtained also show how a supervised approach trained using automatically generated labels achieved an 84% f-score (using Neural Networks and Random Forests); however, results also demonstrated how the presence of label noise could lower the f-score up to 64–74% depending on the classification approach (Nearest Centroid and Multi-Class Support Vector Machine).

  • 165.
    Dadhich, Siddharth
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Bodin, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Andersson, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik.
    Key challenges in automation of earth-moving machines2016Ingår i: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 68, s. 212-222Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A wheel loader is an earth-moving machine used in construction sites, gravel pits and mining to move blasted rock, soil and gravel. In the presence of a nearby dump truck, the wheel loader is said to be operating in a short loading cycle. This paper concerns the moving of material (soil, gravel and fragmented rock) by a wheel loader in a short loading cycle with more emphasis on the loading step. Due to the complexity of bucket-environment interactions, even three decades of research efforts towards automation of the bucket loading operation have not yet resulted in any fully autonomous system. This paper highlights the key challenges in automation and tele-remote operation of earth-moving machines and provides a survey of different areas of research within the scope of the earth-moving operation. The survey of publications presented in this paper is conducted with an aim to highlight the previous and ongoing research work in this field with an effort to strike a balance between recent and older publications. Another goal of the survey is to identify the research areas in which knowledge essential to automate the earth moving process is lagging behind. The paper concludes by identifying the knowledge gaps to give direction to future research in this field.

  • 166.
    Dadhich, Siddharth
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Bodin, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Andersson, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    From Tele-remote Operation to Semi-automated Wheel-loader2018Ingår i: International Journal of Electrical and Electronic Engineering and Telecommunications, ISSN 2319-2518, Vol. 7, nr 4, s. 178-182Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper presents experimental results with tele-remote operation of a wheel-loader and proposes a method to semi-automate the process. The different components of the tele-remote setup are described in the paper. We focus on the short loading cycle, which is commonly used at quarry and construction sites for moving gravel from piles onto trucks. We present results from short-loading-cycle experiments with three operators, comparing productivity between tele-remote operation and manual operation. A productivity loss of 42% with tele-remote operation motivates the case for more automation. We propose a method to automate the bucket-filling process, which is one of the key operations performed by a wheel-loader.

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  • 167.
    Dadhich, Siddharth
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Bodin, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Andersson, Ulf
    Luleå tekniska universitet.
    Machine Learning approach to Automatic Bucket Loading2016Ingår i: 24th Mediterranean Conference on Control and Automation (MED): June 21-24, Athens, Greece, 2016, Piscataway, NJ: IEEE Communications Society, 2016, s. 1260-1265, artikel-id 7535925Konferensbidrag (Refereegranskat)
    Abstract [en]

    The automation of bucket loading for repetitive tasks of earth-moving operations is desired in several applications at mining sites, quarries and construction sites where larger amounts of gravel and fragmented rock are to be moved. In load and carry cycles the average bucket weight is the dominating performance parameter, while fuel efficiency and loading time also come into play with short loading cycles. This paper presents the analysis of data recorded during loading of different types of gravel piles with a Volvo L110G wheel loader. Regression models of lift and tilt actions are fitted to the behavior of an expert driver for a gravel pile. We present linear regression models for lift and tilt action that explain most of the variance in the recorded data and outline a learning approach for solving the automatic bucket loading problem. A general solution should provide good performance in terms of average bucket weight, cycle time of loading and fuel efficiency for different types of material and pile geometries. We propose that a reinforcement learning approach can be used to further refine models fitted to the behavior of expert drivers, and we briefly discuss the scooping problem in terms of a Markov decision process and possible value functions and policy iteration schemes.

  • 168.
    Dadhich, Siddharth
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Bodin, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Predicting bucket-filling control actions of a wheel-loader operator using a neural network ensemble2018Ingår i: 2018 International Joint Conference on Neural Networks (IJCNN), Piscataway, NJ: IEEE, 2018, artikel-id 8489388Konferensbidrag (Refereegranskat)
    Abstract [en]

    Automatic bucket filling is an open problem since three decades. In this paper, we address this problem with supervised machine learning using data collected from manual operation. The range-normalized actuations of lift joystick, tilt joystick and throttle pedal are predicted using information from sensors on the machine and the prediction errors are quantified. We apply linear regression, k-nearest neighbors, neural networks, regression trees and ensemble methods and find that an ensemble of neural networks results in the most accurate predictions. The prediction root-mean-square-error (RMSE) of the lift action exceeds that of the tilt and throttle actions, and we obtain an RMSE below 0.2 for complete bucket fillings after training with as little as 135 bucket filling examples

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  • 169.
    Dadhich, Siddharth
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Sandin, Fredrik
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Bodin, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Andersson, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Martinsson, Torbjörn
    Volvo CE, Bolindervägen 5, 63185 Eskilstuna, Sweden.
    Field test of neural-network based automatic bucket-filling algorithm for wheel-loaders2019Ingår i: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 97, s. 1-12Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Automation of earth-moving industries (construction, mining and quarry) require automatic bucket-filling algorithms for efficient operation of front-end loaders. Autonomous bucket-filling is an open problem since three decades due to difficulties in developing useful earth models (soil, gravel and rock) for automatic control. Operators make use of vision, sound and vestibular feedback to perform the bucket-filling operation with high productivity and fuel efficiency. In this paper, field experiments with a small time-delayed neural network (TDNN) implemented in the bucket control-loop of a Volvo L180H front-end loader filling medium coarse gravel are presented. The total delay time parameter of the TDNN is found to be an important hyperparameter due to the variable delay present in the hydraulics of the wheel-loader. The TDNN network successfully performs the bucket-filling operation after an initial period (100 examples) of imitation learning from an expert operator. The demonstrated solution show only 26% longer bucket-filling time, an improvement over manual tele-operation performance.

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  • 170.
    Dai, Hong-Ning
    et al.
    Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau.
    Wong, Raymond Chi-Wing
    Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Kowloon, Hong Kong.
    Wang, Hao
    Norwegian University of Science and Technology, Norway.
    Zheng, Zibin
    School of Data and Computer Science, Sun Yat-sen University, Xiaoguwei Island, Guangzhou, China.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Big Data Analytics for Large-scale Wireless Networks: Challenges and Opportunities2019Ingår i: ACM Computing Surveys, ISSN 0360-0300, E-ISSN 1557-7341, Vol. 52, nr 5, artikel-id 99Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large-scale wireless networks. Big data of large-scale wireless networks has the key features of wide variety, high volume, real-time velocity, and huge value leading to the unique research challenges that are different from existing computing systems. In this article, we present a survey of the state-of-art big data analytics (BDA) approaches for large-scale wireless networks. In particular, we categorize the life cycle of BDA into four consecutive stages: Data Acquisition, Data Preprocessing, Data Storage, and Data Analytics. We then present a detailed survey of the technical solutions to the challenges in BDA for large-scale wireless networks according to each stage in the life cycle of BDA. Moreover, we discuss the open research issues and outline the future directions in this promising area.

  • 171.
    Danjuma, Kwetishe Joro
    et al.
    Modibbo Adama University of Technology, Yola.
    Oyelere, Solomon Sunday
    University of Eastern Finland.
    Oyelere, Elisha Sunday
    Obafemi Awolowo University.
    Laine, Teemu H.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Mobile application for Ebola virus disease diagnosis (EbolaDiag)2018Ingår i: Mobile Technologies and Socio-Economic Development in Emerging Nations / [ed] Fredrick Mtenzi; George S Oreku; Dennis M Lupiana; Jim James Yonazi, Hershey, Pennsylvania: IGI Global, 2018, s. 64-80Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    This chapter describes how the Ebola virus is considered extremely infectious with a series of physical and psychological traumas on the victims. Common clinical signs associated with the disease include a sudden fever, severe headaches, muscle pain, fatigue, diarrhea, vomiting, and unexplained hemorrhages. In Africa, with strained medical facilities and remote localities, prompt identification and diagnosis of the symptoms of Ebola in a suspected patient are important to the control of the epidemic and in curtailing further spread. This chapter presents the development of an Android mobile application called EbolaDiag (Ebola Diagnosis), which is capable of supporting the diagnosis, screening, and healthcare experts working on the frontline in contact tracing and monitoring of the spread of Ebola. Furthermore, EbolaDiag is suitable for aiding the strained medical facilities in endemic areas. In addressing this gap, the application provided a model for implementing such solutions in pandemic environments. Such a solution becomes more relevant and useful to combat Ebola and several other diseases in similar environments.

  • 172.
    DaSilva, Luiz A.
    et al.
    Virginia Polytechnic Institute and State University, USA.
    Midkiff, Scott F.
    Virginia Polytechnic Institute and State University, USA.
    Park, Jahng S.
    Virginia Polytechnic Institute and State University, USA.
    Hadjichristofi, George C.
    Virginia Polytechnic Institute and State University, USA.
    Davis, Nathaniel J.
    Virginia Polytechnic Institute and State University, USA.
    Phanse, Kaustubh S.
    Luleå tekniska universitet.
    Lin, Tao
    McMaster University, Canada.
    Network mobility and protocol interoperability in ad hoc networks2004Ingår i: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 42, nr 11, s. 88-96Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The integration of various network-level functions, including routing, management, and security, is critical to the efficient operation of a mobile ad hoc network. In this article we focus on network mobility (rather than node mobility), implying the movement of entire subnetworks with respect to one another, while individual users initially associated with one such subnetwork may also move to other domains. One example is a battlefield network that includes ships, aircraft, and ground troops. In this "network of networks", subnets (e.g. shipboard networks) may be interconnected via a terrestrial mobile wireless network (e.g., between moving ships). We discuss the design and implementation of a new ad hoc routing protocol, a suite of solutions for policy-based network management, and approaches for key management and deployment of IPsec in a MANET. These solutions, in turn, are integrated with real-time middleware, a secure radio link, and a topology monitoring tool. We briefly describe each component of the solution, and focus on the challenges and approaches to integrating these components into a cohesive system to support network mobility. We evaluate the effectiveness of the system through experiments conducted in a wireless ad hoc testbed.

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  • 173.
    de Greef, Tjerk J.
    et al.
    Delft University of Technology, Faculty of EEMCS, Interactive Intelligence Group, The Netherlands.
    Gullström, Charlie
    KTH Royal Institute of Technology, Department of Architecture, Sweden.
    Handberg, Leif
    KTH Royal Institute of Technology, Department of Media Technology and Interaction Design, Sweden.
    Nefs, Harold T.
    Delft University of Technology, Faculty of EEMCS, Interactive Intelligence Group, The Netherlands.
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Shared mediated workspaces2012Konferensbidrag (Refereegranskat)
    Abstract [sv]

    Delade medierade utrymmen ger gångbara alternativ för möten och interaktion. Utvecklingen av medierade arbetsytor för samarbete och delade förhandlingsutrymmen kommer att ha en avgörande inverkan på alla områden. Tidigare designledd forskning har identifierat rumsliga designkoncept som t.ex. medierad blick, och rumslig montage, som om inte beaktas, kan sägas att införa friktion och därmed inverka negativt på erfarenheten av medierad närvaro. Detta papper diskuterar en uppsättning konceptverktyg för närvarodesign och en prototyp som håller på att utvecklas av en tvärvetenskaplig akademisk arbetsgrupp: Det medierade skissbordet. Prototypen kombinerar analoga och digitala interaktionsverktyg och teknik inklusive HTML5 och WebRTC. Här presenterar vi våra initiala observationer av användning av prototypen och diskuterar möjliga sätt att övervinna designfriktion i prototypen. Vi tillkännager att medierad närvaro inte kan säkerställas genom konstruktion eller teknik ensam,  men genom att bevaka olika designtekniker kan närvarodesigners försöka minska friktionen som annars hämmar medierad närvaro, ömsesidigt förtroende, kunskapsdelning och lagarbete effektivitet.

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  • 174.
    Degermark, Mikael
    et al.
    Luleå tekniska universitet.
    Hannu, Hans
    Ericsson Erisoft AB.
    Jonsson, Lars-Erik
    Ericsson Erisoft AB.
    Svanbro, Krister
    Ericsson Erisoft AB.
    Evaluation of CRTP performance over cellular radio links2000Ingår i: IEEE personal communications, ISSN 1070-9916, E-ISSN 1558-0652, Vol. 7, nr 4, s. 20-25Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    To make mobile IP telephony over cellular radio systems an economically viable alternative to circuit-switched voice, it is an absolute requirement that the 40-octet IP/UDP/RTP headers on IP telephony packets be reduced in size to conserve bandwidth and radio spectrum. We evaluate the performance of the default header compression scheme for IP/UDP/RTP, CRTP (RFC-2508), over links built on cellular radio access technology. We find that CRTP does not perform adequately over such links, and suggest that a more robust header compression scheme must be developed to make IP telephony over cellular economically viable.

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  • 175.
    Degermark, Mikael
    et al.
    Luleå tekniska universitet.
    Köhler, Torsten
    Luleå tekniska universitet. Swedish Institute of Computer Science, Kista, Sweden.
    Pink, Stephen
    Luleå tekniska universitet. Swedish Institute of Computer Science, Kista, Sweden.
    Schelén, Olov
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Advance reservations for predictive service1995Ingår i: Network and Operating Systems Support for Digital Audio and Video: Proceedings of the 5th International Workshop on Network and Operating System Support for Digital Audio and Video / [ed] Thomas D C Little; Riccardo Gusella, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 1995, s. 1-15Konferensbidrag (Refereegranskat)
    Abstract [en]

    We extend a measurement-based admission control algorithm suggested for predictive service to provide advance reservations for guaranteed and predictive service while keeping the attractive features of predictive service. The admission decision for advance reservations is based on information about flows that overlap in time. For flows that have not yet started, the requested values are used, and for those that have already started measurements are used. This allows us to estimate the network load accurately for the near future. To provide advance reservations we ask users to include durations in their requests. We provide simulation results to show that predictive service with advance reservations provides utilization levels significantly higher than those for guaranteed service.

  • 176.
    Degermark, Mikael
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Pink, Stephen
    Swedish Institute of Computer Science, Kista, Sweden.
    Soft state header compression for wireless networks1996Rapport (Refereegranskat)
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  • 177.
    Demirbaga, Umit
    et al.
    Newcastle University. Bartin University.
    Noor, Ayman
    Newcastle University. Taibah University.
    Wen, Zhenyu
    Newcastle University.
    James, Philip
    Newcastle University.
    Mitra, Karan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Ranjan, Rajiv
    Newcastle University.
    SmartMonit: Real-time Big Data Monitoring System2019Ingår i: 2019 IEEE 38th International Symposium on Reliable Distributed Systems: SRDS 2019, IEEE, 2019, s. 357-359Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Modern big data processing systems are becoming very complex in terms of large-scale, high-concurrency and multiple talents. Thus, many failures and performance reductions only happen at run-time and are very difficult to capture. Moreover, some issues may only be triggered when some components are executed. To analyze the root cause of these types of issues, we have to capture the dependencies of each component in real-time. In this paper, we propose SmartMonit, a real-time big data monitoring system, which collects infrastructure information such as the process status of each task. At the same time, we develop a real-time stream processing framework to analyze the coordination among the tasks and the infrastructures. This coordination information is essential for troubleshooting the reasons for failures and performance reduction, especially the ones propagated from other causes.

  • 178.
    Deng, Ruilong
    et al.
    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
    Xiao, Gaoxi
    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
    Lu, Rongxing
    Faculty of Computer Science, University of New Brunswick, Canada.
    Liang, Hao
    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey2017Ingår i: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 13, nr 2, s. 411-423, artikel-id 7579185Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The accurately estimated state is of great importance for maintaining a stable running condition of power systems. To maintain the accuracy of the estimated state, bad data detection (BDD) is utilized by power systems to get rid of erroneous measurements due to meter failures or outside attacks. However, false data injection (FDI) attacks, as recently revealed, can circumvent BDD and insert any bias into the value of the estimated state. Continuous works on constructing and/or protecting power systems from such attacks have been done in recent years. This survey comprehensively overviews three major aspects: constructing FDI attacks; impacts of FDI attacks on electricity market; and defending against FDI attacks. Specifically, we first explore the problem of constructing FDI attacks, and further show their associated impacts on electricity market operations, from the adversary's point of view. Then, from the perspective of the system operator, we present countermeasures against FDI attacks. We also outline the future research directions and potential challenges based on the above overview, in the context of FDI attacks, impacts, and defense.

  • 179.
    Diewald, Stefan
    et al.
    Technische Unviersität München.
    Leinmüller, Tim
    DENSO Automotive Deutschland GmbH, Info-Safety Engineering Department.
    Atanassow, Boris
    DENSO Automotive Deutschland GmbH, Info-Safety Engineering Department.
    Breyer, Lutz-Peter
    DENSO Automotive Deutschland GmbH, Info-Safety Engineering Department.
    Kranz, Matthias
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Mobile device integration and interaction with V2X communication2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    In a V2X environment, message processing and data visualization are key technologies influencing both real and perceived performance and usability of a system. V2X safety applications require frequent exchange of position information by means of so called Cooperative Awareness Messages (CAMs) or Basic Safety Messages (BSMs). These messages are generated, encoded and sent by all vehicles and corresponding actions have to be executed on receiving vehicles. The in-vehicle V2X system can be divided into several components. Our approach is based on a “two-component” system, consisting of a vehicle-integrated V2X communication unit (onboard unit, OBU) and a personal portable device (PPD), such as a smart phone or tablet PC. Subject of this work is the investigation how to distribute the workload and functionality between the two components. Our goal is to find a flexible solution that maximizes the overall performance and reliability of the system. We investigate and compare several message processing approaches and try to combine the strengths of both components. As a result, we present our final setup that can handle an up to 40 timeshigher message rate compared to other investigated solutions.

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  • 180.
    Diewald, Stefan
    et al.
    Technische Unviersität München.
    Möller, Andeas
    Technische Unviersität München.
    Roalter, Luis
    Technische Unviersität München.
    Kranz, Matthias
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    DriveAssist: a V2X-based driver assistance system for Android2012Ingår i: Mensch & Computer 2012: Workshopband : 12. fachübergreifende Konferenz für interaktive und kooperative Medien ; interaktiv informiert - allgegenwärtig und allumfassend!? / [ed] Harald Reiterer ; Oliver Deussen, München: Oldenburg Wissenschaftsverlag , 2012, s. 373-380Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we introduce the Android-based driver assistance system DriveAssist. The application allows the visualization of traffic information that originates from Vehicle-to-X (V2X) communication services as well as from central traffic services (CTSs) on the user’s smartphone. Besides giving the driver an overview of the traffic around her/him on a map view, DriveAssist can also run in the background and trigger warning messages for certain traffic incidents. The system design allows for augmenting any vehicle with a sophisticated audio-visual information system for V2X data and information, and thereby complements the vehicle’s on-board driver assistance systems at competitive costs.

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  • 181.
    Diewald, Stefan
    et al.
    Technische Unviersität München.
    Möller, Andreas
    Technische Unviersität München.
    Roalter, Luis
    Technische Unviersität München.
    Kranz, Matthias
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Gamification-supported exploration of natural user interfaces2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we describe a novel concept for motivating users to explore applications using natural user interfaces in the automotive domain. Based on prior findings, it can be very hard for users to detect opportunities of action in such systems.Additionally, traditional “did you know?” hints seem to be ignored by many users today. As a countermeasure, we describe an approach that shall motivate users to explore natural user interfaces by using game elements. By awarding the user with badges and experience level-ups, we hope to create a stronger motivation that is at least maintained until the user is used to the system.

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  • 182.
    Diewald, Stefan
    et al.
    Technische Unviersität München.
    Möller, Andreas
    Technische Unviersität München.
    Roalter, Luis
    Technische Unviersität München.
    Kranz, Matthias
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    MobiliNet: A Social Network for Optimized Mobility2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we present our vision of MobiliNet. MobiliNet is a user-oriented approach for optimising mobility chains with the goal of providing innovative mobility across dierent types of mobility providers { from personal short range battery powered mobility aids over dierent types of public transports (e.g. buses, short distance train networks) to personal mobility means (e.g. car sharing). Our vision for MobiliNet is based on a social networklike system that is not limited to human participants. By including vehicles, corporations, parking spaces and other objects and spaces, the system could make traveling more comfortable and less stressful, and nally more ecient for the travellers. MobiliNet allows high-level trip planning, but also pays attention to other important details of the supported means of transportation. Especially for user groups with special needs, MobiliNet actively supports self-determined mobility. Thus enables again an active participation of this user group in in social life. Besides supporting travellers, the system could also create new business opportunities for transport associations and car sharing corporations.

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  • 183.
    Ding, Guoru
    et al.
    National Mobile Communications Research Laboratory, Southeast University, Nanjing, China.
    Wu, Fan
    Shanghai Key Laboratory of Scalable Computing and Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
    Wu, Qihui
    Department of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
    Tang, Shaojie
    Department of Information Systems, University of Texas at Dallas, Richardson, TX, USA.
    Song, Fei
    College of Communications Engineering, PLA University of Science and Technology, Nanjing, China.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Tsiftsis, Theodoros A.
    School of Engineering, Nazarbayev University, Astana, Kazakhstan.
    Robust Online Spectrum Prediction With Incomplete and Corrupted Historical Observations2017Ingår i: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 66, nr 9, s. 8022-8036Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A range of emerging applications, from adaptive spectrum sensing to proactive spectrum mobility, depend on the ability to foresee spectrum state evolution. Despite a number of studies appearing about spectrum prediction, fundamental issues still remain unresolved: 1) The existing studies do not explicitly account for anomalies, which may incur serious performance degradation; 2) they focus on the design of batch spectrum prediction algorithms, which limit the scalability to analyze massive spectrum data in real time; 3) they assume the historical data are complete, which may not hold in reality. To address these issues, we develop a Robust Online Spectrum Prediction (ROSP) framework, with incomplete and corrupted observations, in this paper. We first present data analytics of real-world spectrum measurements to reveal the correlation structures of spectrum evolution and to analyze the impact of anomalies on the rank distribution of spectrum matrices. Then, from a spectral–temporal 2-D perspective, we formulate the ROSP as a joint optimization problem of matrix completion and recovery by effectively integrating the time series forecasting techniques and develop an alternating direction optimization method to efficiently solve it. We apply ROSP to a wide range of real-world spectrum matrices of popular wireless services. Experiment results show that ROSP outperforms state-of-the-art spectrum prediction schemes.

  • 184.
    Ding, Ming
    et al.
    Data 61, Australia.
    Lopez-Perez, David
    Bell Labs Alcatel-Lucent, Dublin, Ireland.
    Xue, Ruiqi
    Shanghai Jiao Tong University, Shanghai 200240, China.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Chen, Wen
    Shanghai Key Laboratory of Navigation and Location Based Services, Shanghai Jiao Tong University, Shanghai 200240, China; School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China.
    On Dynamic Time Division Duplex Transmissions for Small Cell Networks2016Ingår i: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 65, nr 11, s. 8933-8951Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Motivated by the promising benefits of dynamic Time Division Duplex (TDD), in this paper, we use a unified framework to investigate both the technical issues of applying dynamic TDD in homogeneous small cell networks (HomSCNs), and the feasibility of introducing dynamic TDD into heterogeneous networks (HetNets). First, HomSCNs are analyzed, and a small cell BS scheduler that dynamically and independently schedules DL and UL subframes is presented, such that load balancing between the DL and the UL traffic can be achieved. Moreover, the effectiveness of various inter-link interference mitigation (ILIM) schemes as well as their combinations, is systematically investigated and compared. Besides, the interesting possibility of partial interference cancellation (IC) is also explored. Second, based on the proposed schemes, the joint operation of dynamic TDD together with cell range expansion (CRE) and almost blank subframe (ABS) in HetNets is studied. In this regard, scheduling polices in small cells and an algorithm to derive the appropriate macrocell traffic off-load and ABS duty cycle under dynamic TDD operation are proposed. Moreover, the full IC and the partial IC schemes are investigated for dynamic TDD in HetNets. The user equipment (UE) packet throughput performance of the proposed/discussed schemes is benchmarked using system-level simulations.

  • 185.
    Dinh, Thanh
    et al.
    School of Electronic Engineering, Soongsil University.
    Kim, Younghan
    School of Electronic Engineering, Soongsil University.
    Gu, Tao
    School of Computer Science, RMIT University, Melbourne.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    L-MAC: A Wake-up Time Self-learning MAC Protocol for Wireless Sensor Networks2016Ingår i: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 105, s. 33-46Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper analyzes the trade-off issue between energy efficiency and packet delivery latency among existing duty-cycling MAC protocols in wireless sensor networks for low data-rate periodic-reporting applications. We then propose a novel and practical wake-up time self-Learning MAC (L-MAC) protocol in which the key idea is to reuse beacon messages of receiver-initiated MAC protocols to enable nodes to coordinate their wakeup time with their parent nodes without incurring extra communication overhead. Based on the self-learning mechanism we propose, L-MAC builds an on-demand staggered scheduler to allow any node to forward packets continuously to the sink node. We present an analytical model, and conduct extensive simulations and experiments on Telosb sensors to show that L-MAC achieves significant higher energy efficiency compared to state-of-the-art asynchronous MAC protocols and a similar result of latency compared to synchronous MAC protocols. In particular, under QoS requirements with an upper bound value for one-hop packet delivery latency within 1 s and a lower bound value for packet delivery ratio within 95%, results show that the duty cycle of L-MAC is improved by more than 3.8 times and the end-to-end packet delivery latency of L-MAC is reduced by more than 7 times compared to those of AS-MAC and other state-of-the-art MAC protocols, respectively, in case of the packet generation interval of 1 minute. L-MAC hence achieves high performance in both energy efficiency and packet delivery latency.

  • 186.
    Dinh, Thanh
    et al.
    School of Electronic Engineering, Soongsil University, Seoul 06978, South Korea.
    Kim, Younghan
    School of Electronic Engineering, Soongsil University, Seoul 06978, South Korea.
    Gu, Tau
    School of Computer Science, Royal Melbourne Institute of Technology University, Melbourne.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    An Adaptive Low-Power Listening Protocol for Wireless Sensor Networks in Noisy Environments2018Ingår i: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234, Vol. 2, nr 3, s. 2162-2173Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper investigates the energy consumption minimizationproblem for wireless sensor networks running low-powerlistening (LPL) protocols in noisy environments. We observe thatthe energy consumption by false wakeups (i.e., wakeup without receivingany packet) of a node in noisy environments can be a dominantfactor in many cases while the false wakeup rate is spatiallyand temporarily dynamic. Based on this observation, without carefullyconsidering the impact of false wakeups, the energy efficientperformance of LPL nodes in noisy environments may significantlydeviate from the optimal performance. To address this problem,we propose a theoretical framework incorporating LPL temporalparameters with the false wakeup rate and the data rate. We thenformulate an energy consumption minimization problem of LPLin noisy environments and address the problem by a simplifiedand practical approach. Based on the theoretical framework, wedesign an efficient adaptive protocol for LPL (APL) in noisy environments.Through extensive experimental studies with Telosbnodes in real environments, we show that APL achieves 20%–40%energy efficient improvement compared to existing LPL protocolsunder various network conditions.

  • 187.
    Dirin, Amir
    et al.
    Business Information Technology, Haaga-Helia University of Applied Sciences, Hels.
    Laine, Teemu H.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    User Experience in Mobile Augmented Reality: Emotions, Challenges, Opportunities and Best Practices2018Ingår i: Computers, E-ISSN 2073-431X, Vol. 7, nr 2, artikel-id 33Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Mobile Augmented Reality (MAR) is gaining a strong momentum to become a major interactive technology that can be applied across domains and purposes. The rapid proliferation of MAR applications in global mobile application markets has been fueled by a range of freely-available MAR software development kits and content development tools, some of which enable the creation of MAR applications even without programming skills. Despite the recent advances of MAR technology and tools, there are still many challenges associated with MAR from the User Experience (UX) design perspective. In this study, we first define UX as the emotions that the user encounters while using a service, a product or an application and then explore the recent research on the topic. We present two case studies, a commercial MAR experience and our own Virtual Campus Tour MAR application, and evaluate them from the UX perspective, with a focus on emotions. Next, we synthesize the findings from previous research and the results of the case study evaluations to form sets of challenges, opportunities and best practices related to UX design of MAR applications. Based on the identified best practices, we finally present an updated version of the Virtual Campus Tour. The results can be used for improving UX design of future MAR applications, thus making them emotionally engaging.

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  • 188.
    Dirin, Amir
    et al.
    Haaga-Helia University of Applied Sciences, Helsinki, Finland.
    Laine, Teemu H.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Alamäki, Ari
    Haaga-Helia University of Applied Sciences, Helsinki, Finland.
    Managing Emotional Requirements in a Context-Aware Mobile Application for Tourists2018Ingår i: International Journal of Interactive Mobile Technologies (iJIM), E-ISSN 1865-7923, Vol. 12, nr 2, s. 177-196Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The objective of this study was to unveil the importance of emotions and feelings in developing mobile-based tourism applications. We gathered and analyzed emotional requirements to develop a mobile context-aware application for tourists. Emotional requirements are non-functional requirements affecting users’ emotional experiences around using applications, which are important for sustainable application usage. Many tourism applications exist, but were designed without considering emotional requirements or related UX factors and emotions. We developed a proof-of-concept prototype service-based context-aware tourism application (SCATA), and users participated in the design and evaluation processes. Emotional requirements are key to sustainable usage, especially regarding security. This paper details the application design and evaluation processes, emotional requirements analysis in each design phase, and the emotional effects of content accessibility in the application’s offline mode in unknown environments. The results show that trust, security, adjustability, and reliability are important factors to users, especially in unknown environments.

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  • 189.
    Dirin, Amir
    et al.
    Business Information Technology, Haaga-Helia University of Applied Sciences, Helsinki, Finland.
    Laine, Teemu H.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Nieminen, Marko
    Department of Computer Science, Aalto University, Helsinki, Finland .
    Facets of Mobile Lifelong Learning Services2020Ingår i: Proceedings of the 12th International Conference on Computer Supported Education / [ed] H. Chad Lane, Susan Zvacek, James Uhomoibhi, SciTePress, 2020, Vol. 1, s. 543-551Konferensbidrag (Refereegranskat)
    Abstract [en]

    In the era of digital services and digital connectivity, a massive amount of knowledge has become available and accessible all the time and for all ages. This mandates significant structural changes in the ways in which knowledge are shared and contents are presented. The ways in which knowledge is shared and learners become engaged with that knowledge are crucial in lifelong learning. In lifelong learning the knowledge and the content must be delivered to learners at the right time, without distractions and noise. The traditional educational offering in classrooms is not anymore feasible and supportive as learning happens in a disengaged manner in lifelong learning. In new lifelong learning services, user experience (UX) plays a key role in delivering content appropriately and supporting transition of learning between different contexts with adaptive learning media. The objective of this study is to illustrate and elaborate on the roles of feelings and emotions in engaging students i n lifelong learning applications. We have applied systematic literature review (SLR) to identify emotional factors associated with lifelong mobile learning (m-learning) environments. Based on the findings, we propose an application concept as a case study to demonstrate how emotional factors can manifest themselves in lifelong learning applications. Finally, based on the findings of the literature review and the case study evaluation, we propose a model illustrating the facets in lifelong learning applications.

  • 190.
    Dong, Pingping
    et al.
    College of Information Science and Engineering, Hunan Normal University, Changsha, China. Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Gao, Kai
    College of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China. Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha, China.
    Xie, Jingyun
    College of Information Science and Engineering, Hunan Normal University, Changsha, China. Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Tang, Wensheng
    College of Information Science and Engineering, Hunan Normal University, Changsha, China. Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Xiong, Naixue
    College of Intelligence and Computing, Tianjin University, Tianjin, China.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Receiver-Side TCP Countermeasure in Cellular Networks2019Ingår i: Sensors, E-ISSN 1424-8220, Vol. 19, nr 12, artikel-id 2791Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Cellular-based networks keep large buffers at base stations to smooth out the bursty data traffic, which has a negative impact on the user’s Quality of Experience (QoE). With the boom of smart vehicles and phones, this has drawn growing attention. For this paper, we first conducted experiments to reveal the large delays, thus long flow completion time (FCT), caused by the large buffer in the cellular networks. Then, a receiver-side transmission control protocol (TCP) countermeasure named Delay-based Flow Control algorithm with Service Differentiation (DFCSD) was proposed to target interactive applications requiring high throughput and low delay in cellular networks by limiting the standing queue size and decreasing the amount of packets that are dropped in the eNodeB in Long Term Evolution (LTE). DFCSD stems from delay-based congestion control algorithms but works at the receiver side to avoid the performance degradation of the delay-based algorithms when competing with loss-based mechanisms. In addition, it is derived based on the TCP fluid model to maximize the network utility. Furthermore, DFCSD also takes service differentiation into consideration based on the size of competing flows to shorten their completion time, thus improving user QoE. Simulation results confirmed that DFCSD is compatible with existing TCP algorithms, significantly reduces the latency of TCP flows, and increases network throughput.

  • 191.
    Dong, Pingping
    et al.
    Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Xie, Jingyun
    Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Tang, Wensheng
    Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Xiong, Naixue
    College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China.
    Zhong, Hua
    Hunnan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Performance Evaluation of Multipath TCP Scheduling Algorithms2019Ingår i: IEEE Access, E-ISSN 2169-3536, Vol. 7, s. 29818-29825Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    One of the goals of 5G is to provide enhanced mobile broadband and enable low latency in some use cases. To achieve this aim, the Internet Engineering Task Force (IETF) has proposed the Multipath TCP (MPTCP) by utilizing the feature of dual connectivity in 5G, where a 5G device can be served by two different base stations. However, the path heterogeneity between the 5G device to the server may cause packet out-of-order problem. The researchers proposed a number of scheduling algorithms to tackle this issue. This paper introduces the existing algorithms, and with the aim to make a thorough comparison between the existing scheduling algorithms and provide guidelines for designing new scheduling algorithms in 5G, we have conducted an extensive set of emulation studies based on the real Linux experimental platform. The evaluation covers a wide range of network scenarios to investigate the impact of different network metrics, namely, RTT, buffer size and file size on the performance of existing widely-deployed scheduling algorithms.

  • 192.
    Drajic, Dejan
    et al.
    DunavNET, Serbia.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Zhang, Kai
    Martel Innovate, Switzerland.
    Stembert, Nathalie
    Stembert Design, Netherlands.
    Malmberg, Katariina
    European Network of Living Labs, Belgium.
    Brékine, Anna
    Mandat International, Switzerland.
    Vanobberghen, Wim
    imec – SMIT – vrije Universiteit Brussel, Belgium.
    Habibipour, Abdolrasoul
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Digitala tjänster och system.
    Waeben, Jan
    imec – SMIT – vrije Universiteit Brussel, Belgium.
    User Engagement for Large Scale Pilots in the Internet of Things2019Ingår i: TELSIKS 2019: Proceedings of Papers / [ed] Prof. Dr. Bratislav D. Milovanović; Prof. Dr. Nebojša S. Dončov; Prof. Dr. Zoran Ž. Stanković; Dr. Tijana Ž. Dimitrijević; Dr. Biljana Stošić, 2019, s. 46-53Konferensbidrag (Refereegranskat)
    Abstract [en]

    With an expected 50 billion connected devices by 2020, the Internet of Things (IoT) will reshape our environment with great economic opportunities. However, the IoT market evolution will depend directly on the end-user adoption, so it is necessary to support the Large Scale Pilots (LSPs) in order to actively engage end-users in the large scale pilot design, deployment and assessment. In this paper we are presenting end-user engagement methods, including co-creative workshops, crowdsourcing, Living Labs, and developed online tools and resources for end-user engagement, crowdsourcing and personal data protection.

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  • 193.
    Drugge, Mikael
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Interaction aspects of wearable computing for human communication2006Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    This thesis presents the use of wearable computers for aiding human communication over a distance, focusing on interaction aspects that need to be resolved in order to realize this goal. As wearable computers by definition are highly mobile, always on, and always accessible, the ability to communicate becomes independent of place, time and situation. This also imposes new requirements on the user interface of the wearable computer, calling for natural and unobtrusive interaction with the user.One of the key challenges in wearable computing today is to streamline the user’s interaction, so that it is tailored for the situation at hand. A user interface that takes too much effort to use, interrupts or requires more than a minimum of attention, will inevitably hamper the user’s ability to perform tasks in real life. At the same time, human communication involves both effort, interruptions and paying attention, so the key is to find a balance where wearable computers can aid human communication without being intrusive. To design user interfaces supporting this, we need to know what roles different aspects of interaction have in the field of wearable computing. In this thesis, the use of wearable computing for aiding human communication is explored around three aspects of interaction.The first aspect deals with how information can be conveyed by the wearable computer user, allowing a user to retrieve advice and guidance from experts, and remote persons to share experiences over a distance. The thesis presents findings of using wearable computing for sharing knowledge and experience, both for informal exchange among work colleagues, as well as enabling more efficient communication among health-care personnel. The second aspect is based on findings from these trials and concerns how the wearable computer interacts with the user. As the user performs tasks in the real world, it is important to determine how different methods of notifying the user affects her attention and performance, in order to design interfaces that are efficient yet pleasant to use. The thesis presents user studies examining the impact of different methods of interruption, and provides guidelines for how to make notifications less intrusive. The third and final aspect considers how the user’s physical interaction with the wearable computer can be improved. The thesis presents rapid prototyping of systems employing user centric design. Furthermore, a framework for ubiquitousmultimedia communication is presented, enabling wearable computers to be dynamically configurable and utilize resources in the environment to supplement the user’s equipment.All in all, the thesis presents how wearable communications systems can be developed and deployed, how their human-computer interaction should be designed for unobtrusive operation, and how they can come to practical use in real world situations.

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  • 194.
    Drugge, Mikael
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Wearable computer interaction issues in mediated human to human communication2004Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    This thesis explores the use of wearable computers as mediators for human to human communication. The user of a wearable computer can deliver live video, audio and commentary from a remote location, allowing local participants to experience it and interact with people on the other side. In this way, knowledge and information can be shared over a distance, passing through the owner of the wearable computer who acts as a mediator. One of the main problems of today is that the virtual world offered by wearable computers can become too immersive, thereby distancing its user from interactions in the real world. At the same time, the very same immersion serves to let the user sense the remote participants as being there, accompanying and communicating through the virtual world. The key here is to get the proper balance between the real and the virtual worlds; remote participants should be able to experience a distant location through the user, while the user should similarly experience their company in the virtual world.

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  • 195. Drugge, Mikael
    et al.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Wearable systems in nursing home care: prototyping experience2006Ingår i: IEEE pervasive computing, ISSN 1536-1268, E-ISSN 1558-2590, Vol. 5, nr 1, s. 86-91Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The development of a wearable prototype systems after studies conducted in a nursing home care is discussed. The specific problems encountered by medical workers at nursing homes includes communication, information dissemination, access to patient charts and organizational issues. The failure of which may cause stress, discomfort, and dissatisfaction among caretakers and patients as well as possible detrimental health consequences for patients. A Wizard of Oz experiments was used to retrieve information, process interrupting phone calls, to simplify communication with others, and to minimize the interaction needed with the wearable computer.

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  • 196. Drugge, Mikael
    et al.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Parnes, Peter
    Relieving the medical workers' daily work through wearable and pervasive computing2005Ingår i: ICE2005: the 11th International Conference on Concurrent Enterprising : integrated engineering of products, services and organisations, Munich, Germany 20-22 June 2005, Nottingham: Centre for concurrent enterprising, University of Nottongham , 2005Konferensbidrag (Refereegranskat)
    Abstract [en]

    We intend to relieve the daily work at care-centers, allowing medical workers to focus on the patients and their needs. This goal can be achieved by employing technology that automate and simplify tasks previously requiring tedious interventions, giving more time for the important human to human interaction. For any technology to become accepted by the medical workers, we must ensure that it is highly natural and unobtrusive, without interfering with their caregiving. By studying the medical workers’ daily work, we can draw conclusions on what problems they encounter, allowing us to develop prototypes which can be deployed and used at the care-centers. In doing this, we can proceed to study the acceptance and usability of our proposed solution, and see whether and how it solves the problem. In this position paper, we present our current and future research in wearable and pervasive health-care.

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  • 197. Drugge, Mikael
    et al.
    Nilsson, Marcus
    Luleå tekniska universitet.
    Kristiansson, Johan
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Experiences from mobile e-meetings with the borderland wearable computer2003Rapport (Övrigt vetenskapligt)
    Abstract [en]

    People are presented with an increasing number of opportunities to communicate regardless of location as wireless network connectivity becomes more prevalent. Questions that arise are in what form this communication is and what challenges it poses? Can the experience of group communication be enhanced so that a feeling of actual presence can be conveyed? Can we enable participants to experience the world from another person's perspective? We believe so, in this paper we discuss our experiences of group communication when using a wearable computer that is always connected to the network.

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  • 198. Drugge, Mikael
    et al.
    Nilsson, Marcus
    Luleå tekniska universitet.
    Kristiansson, Johan
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Experiences of conveying knowledge in borderland2003Rapport (Övrigt vetenskapligt)
    Abstract [en]

    One of humankind's most basic needs is that of being able to communicate with other people. As wireless network connectivity becomes more prevalent, factors such as physical location and situation diminish in significance for deciding when and how such communication can take place. What happens when a user is given this freedom to utilize the network regardless of time and place? Questions that arise are how different media can enrich communication and what challenges it poses. Can we enable other users to experience the world from another person's perspective? Can we expand it beyond pure communication and allow other more novel uses to emerge? Can we use this as a way of conveying knowledge in real-time to those in need of it? We believe so, in this paper we discuss our experiences of mobile communication when using a wearable computer that is always connected to the best network available.

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  • 199. Drugge, Mikael
    et al.
    Nilsson, Marcus
    Luleå tekniska universitet.
    Liljedahl, Urban
    Parviainen, Roland
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Methods for interrupting a wearable computer user2004Ingår i: Proceedings: Eighth IEEE International Symposium on Wearable Computers, ISWC 2004 : 31 October - 3 November 2004, Arlington, Virginia, Los Alamitos, Calif: IEEE Communications Society, 2004, s. 150-157Konferensbidrag (Refereegranskat)
    Abstract [en]

    A wearable computer equipped with a head-mounted display allows its user to receive notifications and advice that is readily visible in her field of view. While needless interruption of the user should be avoided, there are times when the information is of such importance that it must demand the user’s attention. As the user is mobile and likely interacts with the real world when these situations occur, it is important to know in what way the user can be notified without increasing her cognitive workload more than necessary. To investigate ways of presenting information without increasing the cognitive workload of the recipient, an experiment was performed testing different approaches. The experiment described in this paper is based on an existing study of interruption of people in human-computer interaction, but our focus is instead on finding out how this applies to wearable computer users engaged in real world tasks.

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  • 200. Drugge, Mikael
    et al.
    Nilsson, Marcus
    Luleå tekniska universitet.
    Parviainen, Roland
    Parnes, Peter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Experiences of using wearable computers for ambient telepresence and remote interaction2004Ingår i: Proceedings of the ACM SIGMM 2004 workshop on effective telepresence ETP 2004: Toward seamless remote interaction and experience, IEEE Communications Society, 2004, s. 2-11Konferensbidrag (Refereegranskat)
    Abstract [en]

    We present our experiences of using wearable computers for providing an ambient form of telepresence to members of an e-meeting. Using a continuously running e-meeting session as a testbed for formal and informal studies and observations, this form of telepresence can be investigated from the perspective of remote and local participants alike. Based on actual experiences in real-life scenarios, we point out the key issues that prohibit the remote interaction from being entirely seamless, and follow up with suggestions on how those problems can be resolved or alleviated. Furthermore, we evaluate our system with respect to overall usability and the different means for an end-user to experience the remote world

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