Browsing Institutt for IKT og realfag by Title

Now showing items 367-386 of 594

    • A new estimation method for COVID-19 time-varying reproduction number using active cases 

      Hasan, Agus Ismail; Susanto, Hadi; Tjahjono, Venansius; Kusdiantara, Rudy; Putri, Endah; Nuraini, Nuning; Hadisoemarto, Panji (Peer reviewed; Journal article, 2022)
      We propose a new method to estimate the time-varying effective (or instantaneous) reproduction number of the novel coronavirus disease (COVID-19). The method is based on a discrete-time stochastic augmented compartmental ...

    • A New Nonlinear Controller for the Maximum Power Point Tracking of Photovoltaic Systems in Micro Grid Applications Based on Modified Anti-Disturbance Compensation 

      Azar, Ahmad Taher; Abed, Azher M.; Abdulmajeed, Farah Ayad; Hameed, Ibrahim A.; Kamal, Nashwa Ahmad; Jawad, Anwar Jaafar Mohamad; Abbas, Ali Hashim; Rashed, Zainab Abdulateef; Hashim, Zahraa Sabah; Sahib, Mouayad A.; Ibraheem, Ibraheem Kasim; Thabit, Rasha (Peer reviewed; Journal article, 2022)
      In the photovoltaic system, the performance, efficiency, and generated power of the PV system are affected by changes in the environment, disturbances, and parameter variations, and this leads to a deviation from the ...

    • A New Nonlinear Dynamic Speed Controller for a Differential Drive Mobile Robot 

      Hameed, Ibrahim A.; Abbud, Luay Hashem; Abdulsaheb, Jaafar Ahmed; Azar, Ahmad Taher; Mezher, Mohanad; Jawad, Anwar Ja’afar Mohamad; Abdul-Adheem, Wameedh Riyadh; Ibraheem, Ibraheem Kasim; Kamal, Nashwa Ahmad (Peer reviewed; Journal article, 2023)
      A disturbance/uncertainty estimation and disturbance rejection technique are proposed in this work and verified on a ground two-wheel differential drive mobile robot (DDMR) in the presence of a mismatched disturbance. The ...

    • Next Generation Training Environment 

      Skare, Torstein Ditlev; Moltu, Robert Alan (Bachelor thesis, 2024)
      Formålet med dette prosjektet er å forbedre læringsmiljøet for Kongsberg Maritime (KM) systemer. Vi foreslår å oppnå dette målet gjennom integrering av et SCADA-lignende grensesnitt og en visualisering for å se 3D-modeller ...

    • Non-technical Loss Detection in Power Grid Using Information Retrieval approaches: A Comparative Study 

      Esmael, Agnaldo; Silva, Hugo; Ji, Tuo; Torres, Ricardo Da Silva (Peer reviewed; Journal article, 2021)
      Non-technical loss (NTL) detection is a persistent challenge for Distribution System Operators. Data-driven solutions have been widely used nowadays to analyze customers’ energy consumption and to identify suspicious fraud ...

    • Nonlinear Model Predictive Growth Control of a Class of Plant-Inspired Soft Growing Robots 

      El-Hussieny, Haitham; Hameed, Ibrahim A.; Ryu, Jee-Hwan (Peer reviewed; Journal article, 2020)
      Recently, researchers have shown an increased interest in considering plants as a model of inspiration for designing new robot locomotions. Growing robots, that imitate the biological growth presented by plants, have proved ...

    • A novel binary Kepler optimization algorithm for 0–1 knapsack problems: Methods and applications 

      Abdel-Basset, Mohamed; Mohamed, Reda; Hezam, Ibrahim M.; Sallam, Karam M.; Alshamrani, Ahmad M.; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2023)

    • A Novel Ensemble Representation Framework for Sentiment Classification 

      Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao (Chapter, 2020)
      Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ...

    • A Novel Method for Anomaly Detection and Signal Calibration in Water Quality Monitoring of an Urban Water Supply System 

      Liu, Jincheng; Wu, Di; Mohammed, Hadi; Seidu, Razak (Journal article; Peer reviewed, 2024)
      Water quality monitoring plays a crucial role in urban water supply systems for the production of safe drinking water. However, the traditional approach to water monitoring in Norway relies on a periodic (weekly/biweekly/monthly) ...

    • A novel method for performance measurement of public educational institutions using machine learning models 

      Alam, Talha Mahboob; Mushtaq, Mubbashar; Shaukat, Kamran; Hameed, Ibrahim A.; Sarwar, Muhammad Umer; Luo, Suhuai (Peer reviewed; Journal article, 2021)
      Lack of education is a major concern in underdeveloped countries because it leads to poor human and economic development. The level of education in public institutions varies across all regions around the globe. Current ...

    • A novel person re-identification network to address low-resolution problem in smart city context 

      Yaqoob, Irfan; Hassan, Muhammad Umair; Niu, Dongmei; Zhao, Xiuyang; Hameed, Ibrahim A.; Hassan, Saeed-Ul (Peer reviewed; Journal article, 2023)
      We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution ...

    • A numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models 

      Hasan, Agus Ismail (Peer reviewed; Journal article, 2021)
      We present a numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models. The idea is to augment the reproduction number as an extended state variable in ...

    • Obfuscation in digital fingerprinting 

      Schaathun, Hans Georg; Kuribayashi, Minoru (Journal article; Peer reviewed, 2017)
      Digital fingerprinting has been much studied in the literature for more than 20 years, motivated by applications in copyright protection. A popular and practical approach is to use spread spectrum watermarking to embed ...

    • Objektdeteksjon i punktskyer 

      Myklebust, Åsmund; Sæther, Edvard Ekrem; Nesseth, Nikolai Astad (Bachelor thesis, 2024)
      Denne rapporten bygger på utfordringen med å registrere 3D-modeller i punktskyer fra et 3D-kamera, med fokus på hvordan man nøyaktig kan identifisere og plassere disse modellene. Prosjektet går ut på å utvikle et testrammeverk ...

    • Objektdeteksjon med YOLOv8 og LiDAR for maritim sikkerhet 

      Dyrkolbotn, Joachim; Hestnes, Henning (Bachelor thesis, 2024)
      Denne avhandlingen handler om å integrere et Ouster Lidarsystem på en Otter USV. Ved å kombinere Otterens smidighet med Lidarens avanserte sensorteknologi, gir man Otteren muligheten til å detektere objekter. Vårt fokus ...

    • Observations and Reflections on Teaching Electrical and Computer Engineering Courses 

      Osen, Ottar; Bye, Robin Trulssen (Chapter, 2018)
      In this article, we make a number of observations and reflections based on our experience from many years of teaching courses in electrical and computer engineering bachelor programmes. We present important aspects of ...

    • OceanRoads: Fishing area separation and relation discovery through VMS trace analysis 

      Hong, Feng; Zhen, Rong; Zong, Yuan; Feng, Yuan; Huang, Haiguang; Wang, Hao; Guo, Zhongwen (Chapter, 2017)
      Vessel Monitoring Systems (VMS) provide trajectory data of fishing vessels to discover the spatial-temporal pattern of fishing activities. Although previous researches exhibit the fishing resource distribution in space and ...

    • Om å kartleggja mørk materie med maskinlæring 

      Schaathun, Hans Georg; Normann, Ben David; Solevåg-Hoti, Kenny (Peer reviewed; Journal article, 2023)

    • On Cyber-Attacks Against Wind Farms 

      Ambarita, Evi Elisa; Kuncara, Ivan; Widyotriatmo, Augie; Karlsen, Anniken Susanne Thoresen; Scibilia, Francesco; Hasan, Agus Ismail (Chapter, 2023)
      The issue of cyber-attacks against wind farm sensor systems is the focus of this research. A novel method for detecting and estimating the magnitude of such attacks using a discrete-time adaptive observer is presented. The ...

    • On Demand Waste Collection for Smart Cities: A Case Study 

      Alaliyat, Saleh Abdel-Afou; Mishra, Deepti; Schaarschmidt, Ute Alexandra; Hu, Zhicheng; Haghshenas, Amirashkan; Giarre, Laura (Chapter, 2022)
      The neat and clean surrounding is the main driving force for any city to be called a smart city. In order to address current societal and business challenges, the objective is to provide a solution to enable collection-on-demand ...