Blar i SINTEF Open på forfatter "Goknil, Arda"
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AutoConf: Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization
Shar, Lwin Khin; Goknil, Arda; Husom, Erik Johannes; Sen, Sagar; Tun, Yan Naing; Kim, Kisub (Chapter, 2023)Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their ... -
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing
Isaja, Mauro; Nguyen, Phu Hong; Goknil, Arda; Sen, Sagar; Husom, Erik Johannes; Tverdal, Simeon; Anand, Abhilash Ramanathapuram; Jiang, Yunman; Pedersen, Karl John; Myrseth, Per; Stang, Jørgen; Niavis, Harris; Pfeifhofer, Simon; Lamplmair, Patrick (Peer reviewed; Journal article, 2023)There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily ... -
ETAP: Energy-Aware Timing Analysis of Intermittent Programs
Erata, Ferhat; Yildiz, Eren; Goknil, Arda; Yildirim, Kasim Sinan; Piskac, Ruzica; Szefer, Jakub; Sezgin, Gökçin (Peer reviewed; Journal article, 2022)Energy harvesting battery-free embedded devices rely only on ambient energy harvesting that enables stand-alone and sustainable IoT applications. These devices execute programs when the harvested ambient energy in their ... -
Metamorphic Testing for Web System Security
Chaleshtari, Nazanin Bayati; Pastore, Fabrizio; Goknil, Arda; Briand, Lionel C. (Peer reviewed; Journal article, 2023)Security testing aims at verifying that the software meets its security properties. In modern Web systems, however, this often entails the verification of the outputs generated when exercising the system with a very large ... -
Software-based, Intelligent Energy Optimization Methods for Green IoT
Goknil, Arda; Song, Hui; Dautov, Rustem; Yildirim, K. Sinan (SINTEF Rapport;2021:01423, Research report, 2021)Internet of Things (IoT) has the potential to support a more sustainable world by digitalizing various daily-life tasks and industrial processes. On the other hand, the global energy consumption of IoT devices is already ... -
A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
Goknil, Arda; Nguyen, Phu Hong; Sen, Sagar; Politaki, Dimitra; Niavis, Harris; Pedersen, Karl John; Suyuthi, Abdillah; Anand, Abhilash Ramanathapuram; Ziegenbein, Amina (Peer reviewed; Journal article, 2023)The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the backbones of Industry 4.0, where data quality is crucial for decision support. Data quality in these systems can deteriorate due to sensor failures or ... -
Taming Data Quality in AI-Enabled Industrial Internet of Things
Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Nguyen, Phu Hong; Mancisidor, Iker (Peer reviewed; Journal article, 2022)We address the problem of taming data quality in artificial intelligence (AI)-enabled Industrial Internet of Things systems by devising machine learning pipelines as part of a decentralized edge-to-cloud architecture. We ... -
Toward Sustainable IoT Applications: Unique Challenges for Programming the Batteryless Edge
Goknil, Arda; Yildirim, Kasim Sinan (Peer reviewed; Journal article, 2022)The advent of ultra-low-power computer systems has enabled intermittently powered, battery-free devices to operate using harvested ambient energy. We present a roadmap from today’s continuously powered Internet of Things ... -
UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing
Husom, Erik Johannes; Tverdal, Simeon; Goknil, Arda; Sen, Sagar (Chapter, 2022)Manufacturing has enabled the mechanized mass production of the same (or similar) products by replacing craftsmen with assembly lines of machines. The quality of each product in an assembly line greatly hinges on continual ... -
Uncertainty-aware Virtual Sensors for Cyber-Physical Systems
Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Nguyen, Phu Hong (Peer reviewed; Journal article, 2023)We present a data pipeline to train and deploy uncertainty-aware virtual sensors in cyber-physical systems. Our virtual sensor predicts the expected values of a physical sensor and a standard deviation indicating the degree ... -
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline
Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Politaki, Dimitra; Tverdal, Simeon; Nguyen, Phu Hong; Jourdan, Nicolas (Peer reviewed; Journal article, 2023)Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed using sensors installed within and around machine tools. These sensors measure ...