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  • 1. Ben Dhaou, I.
    et al.
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Dar es Salaam, Tanzania.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. University of Turku, Finland.
    Rwegasira, Diana
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland.
    Naiman, S.
    Mvungi, N. H.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Communication and security technologies for smart grid2018In: Fog Computing: Breakthroughs in Research and Practice, IGI Global , 2018, p. 305-331Chapter in book (Other academic)
    Abstract [en]

    The smart grid is a new paradigm that aims to modernize the legacy power grid. It is based on the integration of ICT technologies, embedded system, sensors, renewable energy and advanced algorithms for management and optimization. The smart grid is a system of systems in which communication technology plays a vital role. Safe operations of the smart grid need a careful design of the communication protocols, cryptographic schemes, and computing technology. In this article, the authors describe current communication technologies, recently proposed algorithms, protocols, and architectures for securing smart grid communication network. They analyzed in a unifying approach the three principles pillars of smart-gird: Sensors, communication technologies, and security. Finally, the authors elaborate open issues in the smart-grid communication network.

  • 2.
    Ebrahimi, Masoumeh
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems.
    Nkonoki, Emma
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Rwegasira, Diana
    KTH.
    Ben Dhaou, Imed
    Taajamaa, Ville
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Creation of CERID: Challenge, Education, Research, Innovation, and Deployment: in the context of smart MicroGrid2019Conference paper (Refereed)
    Abstract [en]

    The iGrid project deals with the design and implementation of a solar-powered smart microgrid to supply electric power to small rural communities. In this paper, we discuss the roadmap of the iGrid project, which forms by merging the roadmaps of KIC (knowledge and Innovation Community) and CDE (Challenge-Driven Education). We introduce and explain a five-gear chain as Challenge, Education, Research, Innovation, and Deployment, called CERID, to reach the main goals of this project. We investigate the full chain in the iGrid project, which is established between KTH Royal Institute of Technology (Sweden) and University of Dar es Salam (Tanzania). We introduce the key stakeholders and explain how CERID goals can be accomplished in higher educations and through scientific research. Challenges are discussed, some innovative ideas are introduced and deployment solutions are recommended.

  • 3.
    Ibwe, Kwame
    et al.
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kalinga, Ellen
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kelati, Amleset
    KTH.
    Tenhunen, Hannu
    KTH.
    Ben Dhaou, Imed
    Qassim Univ, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    The Role of Challenge Driven Learning in Activating Industry-Academia Cooperation in Low Income Countries2017In: 10th International Conference 0f Education, Research and Innovation (ICERI2017) / [ed] Chova, LG Martinez, AL Torres, IC, International Academy of Technology, Education and Development (IATED) , 2017, p. 8158-8166Conference paper (Refereed)
    Abstract [en]

    The industry-academia cooperation to solve the real-life problems facing the societies of which the industry and academia are serving is a common phenomenon in developed economies and even to some of the middle-income countries. The challenges with such cooperation come from the level of trust that the industries have in the capacity of academia to solve their technical and scientific challenges. These challenges are vividly observable in low-income countries where large multinational companies having franchisees in these countries do not prefer local experts from academic institutions but rather engage such services from developed countries. The same applies to local companies and industries, public institutions and government agencies. The challenge does not come from the incompleteness of the academia to solve such challenges, but from the long perceived stigma that academia solutions are merely theoretical and cannot be realized in practice. This may have been perpetrated by the way academia have been conducting their research and development projects. Conventionality, academia identified a challenge for industry and started working on perceived solution to the change from start to finish just to find a nice work prototype mismatch the actual operational environment and conditions. The importance of the cooperation with the industries was only a concept which was never realized. It is important that the cooperation is emphasized early to avoid the current situation of not recognizing the potentials, and/or using the local academia multidisciplinary capacity. The challenge is how to make academia to effectively engage with local industries for the mutual benefits of both parties in low-income countries. Hence, challenge driven learning (CDL) is perceived as a possible way forward. To that effect, postgraduate course for MSc and PhD programme was introduced specifically to use challenge driven education approach. It is a project based course focused on building capacity in group/team work and multidisciplinary engagement to reflect demands for addressing a real life challenge. The challenge to the students which was systematically chosen inefficient and ineffective methods/systems used to clear faults which occur in different parts of the electrical power system network, either reported or observed by the utility company staff. The students, therefore, worked to develop solutions to facilitate efficient fault clearance jointly with utility company staff involved design, innovation, workshops with stakeholders, site visits and feedback from stakeholders. The regular involvement of the key stakeholder user, the utility company, was perceived as a means to promote and strengthen industry-academia cooperation in low-income countries. The Question is how can academia win trust from industries in low-income countries that they can solve their real-life problems? This paper adopts the perspective of challenge driven learning (CDL) methodology using a project based course in a postgraduate program as a tool. The validation data for this paper are based on inputs from the PhD and Masters CDL attending the course and the utility company staff. Based on the literature review, student's iterative designs based on student's presentations to client and to other stakeholders in workshops, complimentary site visits to study the actual situation on the ground and environment the students refined their designs and implementation strategies.

  • 4.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. university of Turku.
    BioSignal Monitoring tool Using Wearable IoT2018In: Proceedings of the 22nd IEEE FRUCT conference,, Jyvaskyla, 2018, p. 4-8Conference paper (Refereed)
  • 5.
    Kelati, Amleset
    KTH, School of Information and Communication Technology (ICT).
    Theory and Implementation of CMOS Class-D Digital Audio Amplifier for Portable Application2004Independent thesis Advanced level (degree of Master (Two Years)), 180 HE creditsStudent thesis
  • 6.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Turku, Finland..
    Ben Dhaou, Imed
    Qassim Univ, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Taajamaa, Ville
    Univ Turku, Turku, Finland..
    Rwegasira, Diana
    Royal Inst Technol, Stockholm, Sweden.;Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kondoro, Aron
    Royal Inst Technol, Stockholm, Sweden.;Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Turku, Finland..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    CHALLENGES FOR TEACHING AND LEARNING ACTIVITIES (TLA) AT ENGINEERING EDUCATION2018In: 12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED) / [ed] Chova, LG Martinez, AL Torres, IC, IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT , 2018, p. 9093-9098Conference paper (Refereed)
    Abstract [en]

    In the knowledge-based society, the legacy education system does not provide the needed skills for creative engineers especially enhancing student innovation and entrepreneurship capacity. Triple-helix model is a concept that aims to bond universities, industry and government in a bid to create innovations. In Europe, integrating research, education, and innovation together in a comprehensive manner has been the major driving force for local and European university development, as example in the form of European Institute Innovation Technology (EIT). At KTH, there are activities that alien the Teaching and Learning Activities (TLA) with different task group with the aim of creating a mutual innovation capacity to contribute solutions for major social challenges. Some of these task groups are Cross-Cultural Faculty Development for Challenge Driven Education, Global learning and digital platform and open innovation platform for learning. The progress and the success are measured by the number of joint student teams and their skills, knowledge development with the follow-up workshop, and the ongoing research and results of the socio-oriented projects. To enhance TLA and the teaching and learning practices, we have developed new curriculums (MSc. and PhD) for our partners to spark innovation and entrepreneurship where the students interact with Open Lab activities. The assessments show that the enrolled students have gained creative skills in dealing with engineering problem and consolidate their knowledge to improve the future TLA and the Intended Learning Outcome (ILO).

  • 7.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland .
    DHAOU, Imed BEN
    Unaizah College of Engineering, Qassim University, Saudi Arabia; University of Monastir, Tunisia .
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Dar es Salaam, Tanzania .
    Rwegasira, Diana
    KTH. University of Dar es Salaam, Tanzania .
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland .
    IoT based Appliances Identification Techniques with FogComputing for e-Health2019In: 2019 IST-Africa Week Conference (IST-Africa, Narobi, Kenya: IEEE, 2019Conference paper (Refereed)
    Abstract [en]

    To improve the living standard of urban communities and to render the healthcare services sustainable and efficient, e-health system is experiencing a paradigm shift. Patients with cognitive discrepancies can be monitored and observed through the analyses of power consumption of home appliances. This paper surveys recent trends in home-based e-health services using metered energy consumption data. It also analyses and summarizes the constant impedance, constant current and constant power (ZIP) approaches for load modelling. The analysis briefly recaptures both non-intrusive and intrusive techniques. The work reports an architecture using IoT technologies for the design of a smart-meter, and fog-computing paradigm for raw processing of energy dataset. Finally, the paper describes the implementation platform based on GirdLAB-D simulation to construct accurate models of household appliances and test the machine-learning algorithm for the detection of abnormal behaviour.

  • 8.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. University of Turku, Finland.
    Nigussie, Ethiopia
    University of Turku, Finland.
    Plosila, Juha
    University of Turku, Finland.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. University of Turku, Finland.
    Biosignal Feature Extraction Techniques for IoT Healthcare Platform2016In: IEEE Conference on Design and Architectures for Signal and Image Processing (DASIP2016), Rennes, France, 2016Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    In IoT healthcare platform, a variety of biosignals are acquired from its sensors and appropriate feature extraction techniques are crucial in order to make use of the acquired biosignal data and help the healthcare scientist or bio-engineer to reach at optimal decisions. This work reviews the existing biosignal feature extraction and classification methods for different healthcare applications. Due the enormous amount of different biosignals and since most healthcare applications uses electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), Electrogastrogram (EGG), we focus the review on feature extractions and classification method for these biosignals. The review also includes a summary of Blood Oxygen Saturation determined by Pulse Oximetry (SpO2), Electrooculography and eye movement (EOG), and Respiration (RSP) signals. Its discussion and analysis focuses on advantages, performance and drawbacks of the techniques.

  • 9.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. University of Turku (UTU), Turku, Finland.
    Plosila, Juha
    University of Turku (UTU), Turku, Finland.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. University of Turku (UTU), Turku, Finland.
    Smart Meter Load Profiling for e-Health Monitoring System2019In: 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada: IEEE, 2019, , p. 6Conference paper (Refereed)
    Abstract [en]

    A structural health-monitoring system needed to come out from the problem associated due to the rapidly growing population of elderly and the health care demand. The paper discussed the consumer's electricity usage data, from the smart meter, how to support the healthcare sector by load profiling the normal or abnormal energy consumption. For this work, the measured dataset is taken from 12 households and collected by the smart meter with an interval of an hour for one month. The dataset is grouped according to the features pattern, reduced by matrix-based analysis and classified with K-Means algorithm data mining clustering method. We showed how the clustering result of the Sum Square Error (SSE) has connection trend to indicate normal or abnormal behavior of electricity usage and leads to determine the assumption of the consumer's health status.

  • 10.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Wearable in a Cloud2018In: 2018 IEEE/ACM INTERNATIONAL CONFERECE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE), IEEE , 2018, p. 7-8Conference paper (Refereed)
    Abstract [en]

    I Nowadays, health care at home becomes more and more important, there are also some product which can measure the ECG, EMG with wearable device. However, these devices are not so accurate for diagnosis because of the low sample rate and less channel on body. In this project, we design a wearable system with 8-channels AFE and use Wi-Fi module to transfer the data to cloud so that we can measure the ECG or EMG more accurate at home, almost at the same sample rate and channels at the hospital. And then the cloud is built for received the data and a real-time display can help doctor monitor the patients' condition remotely. template is essential with some standard steps.

  • 11.
    Kelati, Amleset
    et al.
    KTH, School of Information and Communication Technology (ICT), Electronics and Embedded Systems. UTU.
    Tenhunen, Hannu
    KTH, School of Information and Communication Technology (ICT), Electronics and Embedded Systems.
    Johansson, Fredrik
    KTH, School of Information and Communication Technology (ICT).
    Deep Breath - Wearable IoT sensor node to Monitor and Detect cough2016In: Thirteenth International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, 2016Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    Coughing is the number one symptom individuals report when experiencing an illness. It is the most common symptom for respiratory disorders, including chronic lung disease, pneumonia, tuberculosis and influenza. Cough can appear sporadically with common illnesses

    (e.g. cold), but when it becomes chronic it can severely impair life quality. This symptom is the most common reason for people to seek medical advice.

    Continuous monitoring of objective cough frequency and severity can greatly assist physicians to give an early diagnosis of patient’s illness and the assessment of treatment efficiency. It requires a combination of measures characterizing cough frequency, intensity and its impact on quality of life.

    In the proposed project we will investigate a sensor fusion approach, where the sound detection algorithms are combined with additional sensor parameters from a wearable health device. Parameters such as accelerometer and bio impedance data is combined with audio input to give a reliable cough detection. The algorithms will be

    implemented on a low power sensor node for real-time operation. The respiratory sounds and signal processing focused on detection of frequency and phases of respiratory cycle are the main features. The research include cough sound detection designed for operation on sensor node with low power management.

  • 12.
    Kondoro, Aron
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Ben Dhaou, I.
    Rwegasira, Diana
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Mvungi, N.
    A Simulation Model for the Analysis of Security Attacks in Advanced Metering Infrastructure2018In: 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 533-538Conference paper (Refereed)
    Abstract [en]

    The integration of Information and Communication Technologies in the power grid has given rise to new applications such as Advanced Metering Infrastructure. However, these technologies have also exposed the grid to new forms of security attacks. It is challenging to analyse and find solutions for these attacks due to the complexity of the grid system. There is a need of simple mechanisms to model and study the security implications of new power applications. This paper introduces a simulation model to evaluate the impact of security attacks on the Advanced Metering Infrastructure of a microgrid. The model is evaluated by demonstrating three security attack scenarios which lead to theft of power theft, privacy loss, and power outage.

  • 13.
    Rwegasira, Diana
    et al.
    KTH. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Ben Dhaou, Imed
    Qassim Univ, Coll Engn, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Anagnostou, Anastasia
    Brunel Univ, Uxbridge, Middx, England..
    Kondoro, Aron
    KTH. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Shililiandumi, Naiman
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kelati, Amleset
    KTH. Univ Turku, Turku, Finland..
    Taylor, Simon J. E.
    Brunel Univ, Uxbridge, Middx, England..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH. Univ Turku, Turku, Finland..
    A Framework for Load Shedding and Demand Response in DC Microgrid using Multi Agent System2017In: Proceedings of The 2017 21st Conference of Open Innovations Association (FRUCT), IEEE Computer Society, 2017, p. 284-289Conference paper (Refereed)
    Abstract [en]

    This paper presents a framework of load shedding experiment for a DC Microgrid using Multi-Agent System (MAS). The microgrid uses solar panels as source of energy to serve a community without access to electricity. The generated framework includes modelling of solar panels, battery storage and loads for effective control and better operation. The loads are classified as critical and non-critical loads. The agents are designed in a decentralized manner which include solar agent, storage agent and load agent. The load shedding experiment of the framework is mapped with the manual operation done at Kisiju village, Pwani, Tanzania. The results of the experiment focus on using accurate solar and PV panels which provide: (i) the multi agent system that runs in the DC microgrid, (ii) the controlling and monitoring of power to be used for critical and non-critical loads and (ii) the management power in the production process through selling extra power from an individual load to the storage.

  • 14.
    Rwegasira, Diana
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Ben Dhaou, Imed
    Qassim Univ, Coll Engn, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Turku, Finland..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Turku, Finland..
    A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems2018In: PROCEEDINGS OF THE 2018 22ND CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT) / [ed] Balandin, S, IEEE , 2018, p. 232-237Conference paper (Refereed)
    Abstract [en]

    Smart-grid is a complex system that incorporates distributed control, communication, optimization, and management functions in addition to the legacy functions such as generation, storage, and control. The design and test of new smart-grid algorithms require an efficient simulator. Agent based simulation platforms are the most popular tools that work well in the control and monitoring functionalities of the power electric network such as the microgrid. Most existing simulation tools necessitate either simulated or static data. In this paper, we propose a hardware-in-loop simulator for dc-microgrid. The simulator reads the power generated by the PV panels and the battery SoC using Raspberry PI. A physical agent that MRS on Raspberry PI sends the real-time data to a dc-microgrid simulator that runs on a PC. As a proof of concept, we implemented a load-shedding algorithm using the proposed system.

  • 15.
    Rwegasira, Diana
    et al.
    KTH. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Ben Dhaou, Imed
    Qassim Univ, Coll Engn, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Kondoro, Aron
    KTH. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Shililiandumi, Naiman
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kelati, Amleset
    KTH. Stockholm, Sweden.;Univ Turku, Turku, Finland..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH. Stockholm, Sweden.;Univ Turku, Turku, Finland..
    A Multi-Agent System for Solar Driven DC Microgrid2017In: 2017 INTERNATIONAL CONFERENCE ON CONTROL, ELECTRONICS, RENEWABLE ENERGY AND COMMUNICATIONS (ICCREC), IEEE , 2017, p. 252-257Conference paper (Refereed)
    Abstract [en]

    This paper proposes a Multi-Agent System (MAS) modeling and control architecture for a solar driven DC microgrid. The microgrid consists of solar system as a source of power, energy storage system, critical and non-critical houses (loads) with their own solar and storage as well. For the proposed MAS an individual house can have the ability to sell extra power to the main solar source. The main solar source can generate power and provide to the community when needed. The MAS also controls and monitors an automatic load shedding technique to disconnect non critical loads when there is a deficiency of power supply to the system. The validity of the objectives are demonstrated by agent based system which runs under REPAST simulation tool which used successfully three loads: hospital and two houses during simulation.

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