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Publications (10 of 16) Show all publications
Ebrahimi, M., Kelati, A., Nkonoki, E., Kondoro, A., Rwegasira, D., Ben Dhaou, I., . . . Tenhunen, H. (2019). Creation of CERID: Challenge, Education, Research, Innovation, and Deployment in the context of smart MicroGrid. In: Paul Cunningham ; Miriam Cunningham (Ed.), IST-Africa 2019 Conference Proceedings: . Paper presented at IST-Africa Week Conference (IST-Africa), Nairobi, KENYA, MAY 08-10, 2019.
Open this publication in new window or tab >>Creation of CERID: Challenge, Education, Research, Innovation, and Deployment in the context of smart MicroGrid
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2019 (English)In: IST-Africa 2019 Conference Proceedings / [ed] Paul Cunningham ; Miriam Cunningham, 2019Conference paper, Published 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.

Keywords
knowledge and Innovation Community, challenge-driven educations, smart microgrid, innovation and business models.
National Category
Pedagogical Work Pedagogy Learning Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-255686 (URN)10.23919/ISTAFRICA.2019.8764845 (DOI)000490550800030 ()2-s2.0-85069931006 (Scopus ID)978-1-905824-63-2 (ISBN)
Conference
IST-Africa Week Conference (IST-Africa), Nairobi, KENYA, MAY 08-10, 2019
Note

QC 20190819 QC 20191114

Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-11-14Bibliographically approved
Kelati, A., Ben Dhaou, I., Kondoro, A., Rwegasira, D. & Tenhunen, H. (2019). IoT based Appliances Identification Techniques with Fog Computing for e-Health. In: Paul Cunningham, Miriam Cunningham (Ed.), IST-Africa 2019 Conference Proceedings: . Paper presented at IST-Africa Week Conference (IST-Africa), Nairobi, KENYA, MAY 08-10, 2019. IEEE
Open this publication in new window or tab >>IoT based Appliances Identification Techniques with Fog Computing for e-Health
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2019 (English)In: IST-Africa 2019 Conference Proceedings / [ed] Paul Cunningham, Miriam Cunningham, IEEE , 2019Conference paper, Published 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.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
e-health., home management system, Internet of Things (IoT), fogcomputing, non-intrusive load monitoring and identification (NILM), smart-meter
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-263396 (URN)10.23919/ISTAFRICA.2019.8764818 (DOI)000490550800003 ()2-s2.0-85069928430 (Scopus ID)978-1-905824-62-5 (ISBN)
Conference
IST-Africa Week Conference (IST-Africa), Nairobi, KENYA, MAY 08-10, 2019
Note

QC 20191113

Available from: 2019-11-13 Created: 2019-11-13 Last updated: 2019-11-13Bibliographically approved
Kelati, A., DHAOU, I. B., Kondoro, A., Rwegasira, D. & Tenhunen, H. (2019). IoT based Appliances Identification Techniques with FogComputing for e-Health. In: 2019 IST-Africa Week Conference (IST-Africa: . Paper presented at 2019 IST-Africa Week Conference (IST-Africa. Narobi, Kenya: IEEE
Open this publication in new window or tab >>IoT based Appliances Identification Techniques with FogComputing for e-Health
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2019 (English)In: 2019 IST-Africa Week Conference (IST-Africa, Narobi, Kenya: IEEE, 2019Conference paper, Published 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.

Place, publisher, year, edition, pages
Narobi, Kenya: IEEE, 2019
Keywords
e-health., home management system, Internet of Things (IoT), fog-computing, non-intrusive load monitoring and identification (NILM), smart-meter
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-241293 (URN)10.23919/ISTAFRICA.2019.8764818 (DOI)2-s2.0-85069928430 (Scopus ID)
Conference
2019 IST-Africa Week Conference (IST-Africa
Note

QC 20190902

Available from: 2019-07-27 Created: 2019-07-27 Last updated: 2019-09-23Bibliographically approved
Kelati, A., Plosila, J. & Tenhunen, H. (2019). Smart Meter Load Profiling for e-Health Monitoring System. In: 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE): . Paper presented at 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE)ON, Canada, 2019, pp. 97-102.. Oshawa, ON, Canada: IEEE
Open this publication in new window or tab >>Smart Meter Load Profiling for e-Health Monitoring System
2019 (English)In: 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada: IEEE, 2019, , p. 6Conference paper, Published paper (Refereed) [Artistic work]
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.

Place, publisher, year, edition, pages
Oshawa, ON, Canada: IEEE, 2019. p. 6
Series
IEEE Catalog Number: CFP19SEJ-ART, ISSN 2575-2693
Keywords
smart meter; clustering method; ehealth monitoring
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-262651 (URN)10.1109/SEGE.2019.8859936 (DOI)978-1-7281-2440-7 (ISBN)
Conference
2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE)ON, Canada, 2019, pp. 97-102.
Available from: 2019-10-16 Created: 2019-10-16 Last updated: 2019-10-23
Rwegasira, D., Ben Dhaou, I., Kondoro, A., Kelati, A., Mvungi, N. & Tenhunen, H. (2018). A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems. In: Balandin, S (Ed.), PROCEEDINGS OF THE 2018 22ND CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT): . Paper presented at 22nd Conference of Open-Innovations-Association (FRUCT), MAY 15-18, 2018, Jyvaskyla, FINLAND (pp. 232-237). IEEE
Open this publication in new window or tab >>A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems
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2018 (English)In: PROCEEDINGS OF THE 2018 22ND CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT) / [ed] Balandin, S, IEEE , 2018, p. 232-237Conference paper, Published 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.

Place, publisher, year, edition, pages
IEEE, 2018
Series
Proceedings Conference of Open Innovations Association FRUCT, ISSN 2305-7254
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-259481 (URN)10.23919/FRUCT.2018.8468283 (DOI)000482751300032 ()2-s2.0-85055489289 (Scopus ID)978-952-68653-4-8 (ISBN)
Conference
22nd Conference of Open-Innovations-Association (FRUCT), MAY 15-18, 2018, Jyvaskyla, FINLAND
Note

QC 20190917

Available from: 2019-09-17 Created: 2019-09-17 Last updated: 2019-09-17Bibliographically approved
Kondoro, A., Ben Dhaou, I., Rwegasira, D., Kelati, A., Tenhunen, H. & Mvungi, N. (2018). A Simulation Model for the Analysis of Security Attacks in Advanced Metering Infrastructure. In: 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018: . Paper presented at 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018, 26 June 2018 through 29 June 2018 (pp. 533-538). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>A Simulation Model for the Analysis of Security Attacks in Advanced Metering Infrastructure
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2018 (English)In: 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 533-538Conference paper, Published 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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Keywords
AMI, Security, Simulation, Smart Grid, Crime, Electric power transmission networks, Outages, Information and Communication Technologies, Power applications, Security attacks, Security implications, Simulation model, Advanced metering infrastructures
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-247075 (URN)10.1109/PowerAfrica.2018.8521089 (DOI)2-s2.0-85057855001 (Scopus ID)9781538641637 (ISBN)
Conference
2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018, 26 June 2018 through 29 June 2018
Note

QC 20190625

Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-06-25Bibliographically approved
Kelati, A. (2018). BioSignal Monitoring tool Using Wearable IoT. In: Proceedings of the 22nd IEEE FRUCT conference,: . Paper presented at Proceedings of the 22nd IEEE FRUCT conference (pp. 4-8). Jyvaskyla
Open this publication in new window or tab >>BioSignal Monitoring tool Using Wearable IoT
2018 (English)In: Proceedings of the 22nd IEEE FRUCT conference,, Jyvaskyla, 2018, p. 4-8Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
Jyvaskyla: , 2018
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-233848 (URN)
Conference
Proceedings of the 22nd IEEE FRUCT conference
Note

QCR 20181130

Available from: 2018-10-30 Created: 2018-10-30 Last updated: 2018-11-30Bibliographically approved
Kelati, A., Ben Dhaou, I., Taajamaa, V., Rwegasira, D., Kondoro, A., Tenhunen, H. & Mvungi, N. (2018). CHALLENGES FOR TEACHING AND LEARNING ACTIVITIES (TLA) AT ENGINEERING EDUCATION. In: Chova, LG Martinez, AL Torres, IC (Ed.), 12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED): . Paper presented at 12th International Technology, Education and Development Conference (INTED), MAR 05-07, 2018, Valencia, SPAIN (pp. 9093-9098). IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT
Open this publication in new window or tab >>CHALLENGES FOR TEACHING AND LEARNING ACTIVITIES (TLA) AT ENGINEERING EDUCATION
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2018 (English)In: 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, Published 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).

Place, publisher, year, edition, pages
IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT, 2018
Series
INTED Proceedings, ISSN 2340-1079
Keywords
Teaching and Learning Activities, Engineering Education, Digital platform Innovation, technology, research projects
National Category
Learning
Identifiers
urn:nbn:se:kth:diva-239518 (URN)000448704004017 ()978-84-697-9480-7 (ISBN)
Conference
12th International Technology, Education and Development Conference (INTED), MAR 05-07, 2018, Valencia, SPAIN
Available from: 2018-11-27 Created: 2018-11-27 Last updated: 2018-11-27Bibliographically approved
Ben Dhaou, I., Kondoro, A., Kelati, A., Rwegasira, D., Naiman, S., Mvungi, N. H. & Tenhunen, H. (2018). Communication and security technologies for smart grid. In: Fog Computing: Breakthroughs in Research and Practice: (pp. 305-331). IGI Global
Open this publication in new window or tab >>Communication and security technologies for smart grid
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2018 (English)In: 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.

Place, publisher, year, edition, pages
IGI Global, 2018
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-247216 (URN)10.4018/978-1-5225-5649-7.ch016 (DOI)2-s2.0-85059635457 (Scopus ID)9781522556503 (ISBN)1522556494 (ISBN)9781522556497 (ISBN)
Note

QC 20190415

Available from: 2019-04-15 Created: 2019-04-15 Last updated: 2019-04-15Bibliographically approved
Kelati, A. & Tenhunen, H. (2018). Wearable in a Cloud. In: 2018 IEEE/ACM INTERNATIONAL CONFERECE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE). Paper presented at 3rd IEEE/ACM International Conference on Connected Health - Applications, Systems and Engineering Technologies (CHASE), Washington, DC, SEP 26-28, 2018 (pp. 7-8). IEEE
Open this publication in new window or tab >>Wearable in a Cloud
2018 (English)In: 2018 IEEE/ACM INTERNATIONAL CONFERECE ON CONNECTED HEALTH: APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE), IEEE , 2018, p. 7-8Conference paper, Published 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.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Wearable Device, Internet of Things, Cloud, Biosignal
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-252429 (URN)000466953000004 ()2-s2.0-85063294296 (Scopus ID)
Conference
3rd IEEE/ACM International Conference on Connected Health - Applications, Systems and Engineering Technologies (CHASE), Washington, DC, SEP 26-28, 2018
Note

QC 20190613

Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-11-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-2357-1108

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