Browsing NTNU Open by Author "Li, Jingyue"
Now showing items 41-60 of 104
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Developing a circular strategies framework for manufacturing companies to support circular economy-oriented innovation
Blomsma, Fenna; Peroni, Marina; Kravchenko, Mariia; Pigosso, Daniela; Hildenbrand, Jutta; Kristinsdottir, Anna Rùna; Kristoffersen, Eivind; Shabazi, Sasha; Nielsen, Kjartan Due; Jönbrink, Anna-Karin; Li, Jingyue; Wiik, Carina; McAloone, Tim C (Journal article; Peer reviewed, 2019)This paper puts forward the Circular Strategies Scanner: a framework that introduces a taxonomy of circular strategies developed for use by manufacturing companies engaging in circular economy (CE) oriented innovation. ... -
The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance
Kristoffersen, Eivind; Mikalef, Patrick; Blomsma, Fenna; Li, Jingyue (Peer reviewed; Journal article, 2021)Today, most organizations are undergoing a digital transformation. At the same time, the gravity of environmental issues has put sustainability and the circular economy at the top of corporate agendas. To this end, information ... -
Efficiency and Effectiveness of Web Application Vulnerability Detection Approaches: A Review
Zhang, Bing; Li, Jingyue; ren, jiadong; Huang, Guoyan (Peer reviewed; Journal article, 2022)Most existing surveys and reviews on web application vulnerability detection (WAVD) approaches focus on comparing and summarizing the approaches’ technical details. Although some studies have analyzed the efficiency and ... -
Empirical Studies of Methods for Safety and Security Co-analysis of Autonomous Boat
Erik Nilsen, Torkildson; Li, Jingyue; Johnsen, Stig Ole; Glomsrud, Jon Arne (Chapter, 2018)Many autonomous systems are safety-critical, e.g., autonomous cars, boats, or aerial vehicles. Autonomous systems rely on software and communications. Security vulnerabilities of software and communication will give ... -
Empirical Studies of Safety and Security Co-analysis of Autonomous Systems
Torkildson, Erik Nilsen (Master thesis, 2018)There are autonomous drones, cars, boats and trains. But what they all have in common is the ability to have various levels of autonomous capabilities. The key mechanism in an autonomous system is situation classification ... -
Enterprise Architecture and Agility: A Systematic Mapping Study
Guo, Hong; Smite, Darja; Li, Jingyue; Gao, Shang (Chapter, 2021)This article presents a systematic mapping study of published scientific papers on Enterprise Architecture (EA) and agility. More specifically, we reviewed studies on applying agile practices to EA and applying EA to the ... -
Evaluating Artificial Neural Network Robustness for Safety-Critical Systems
Zhang, Jin (Doctoral theses at NTNU;2023:364, Doctoral thesis, 2023)With the power to perform more complex tasks than humans, artificial neural networks (ANNs) have been applied to execute tasks in safety-critical systems (SCSs), such as object detection, image recognition, and navigation. ... -
Exploring the Relationship Between Data Science and Circular Economy: an Enhanced CRISP-DM Process Model
Kristoffersen, Eivind; Omotola, Oluseun Aremu; Blomsma, Fenna; Mikalef, Patrick; Li, Jingyue (Journal article; Peer reviewed, 2019)To date, data science and analytics have received much attention from organizations seeking to explore how to use their massive volumes of data to create value and accelerate the adoption of Circular Economy (CE) concepts. ... -
Feature Reuse in Federated Learning: Toward a Federated Feature Store
Kolltveit, Ask Berstad (Master thesis, 2022)Organisasjoner som deployerer maskinlæringsmodeller (ML-modeller) i stor skala melder om en rekke fordeler ved å ha sentralt definerte og gjenbrukbare ML features når nye modeller skal bygges, slik som ved redusert ... -
Geolocation estimation of target vehicles using image processing and geometric computation
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Li, Jingyue (Journal article; Peer reviewed, 2022)Estimating vehicles’ locations is one of the key components in intelligent traffic management systems (ITMSs) for increasing traffic scene awareness. Traditionally, stationary sensors have been employed in this regard. The ... -
HDPS-BPSO Based Predictive Maintenance Scheduling for Backlash Error Compensation in a Machining Center
Li, Zhe; Wang, Yi; Wang, Kesheng; Li, Jingyue (LNEE;volume 484, Journal article; Peer reviewed, 2018)This paper presents a novel HDPS-BPSO maintenance scheduling strategy for backlash error compensation in a machining center through binary particle swarm optimization (BPSO) and data-driven regression methods. During the ... -
High-performance Asynchronous Byzantine Fault Tolerance Consensus Protocol
Knudsen, Henrik (Master thesis, 2021)For å imøtekomme nye og banebrytende blockchain-baserte systemer innen Supply Chain Management (SCM) og Internet of Things (IoT), så er det et behov for konsensus mekanismer som kan sikre høy transaksjonsgjennomstrømning ... -
High-Performance Asynchronous Byzantine Fault Tolerance Consensus Protocol
Knudsen, Henrik; Li, Jingyue; Notland, Jakob; Haro, Peter; Ræder, Truls Bakkejord (Chapter, 2021)In response to new and innovating blockchain-based systems with Internet of Things (IoT), there is a need for consensus mechanisms that can provide high transaction throughput and security, despite varying network quality. ... -
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems
Namazi, Elnaz; Li, Jingyue; Mester, Rudolf; Lu, Chaoru (Chapter, 2020)There is evidence that accessing online traffic data is a key factor to facilitate intelligent traffic management, especially at intersections. With the advent of autonomous vehicles (AVs), new options for collecting such ... -
Implementation Analysis of Open-Source Static Analysis Tools for Detecting Security Vulnerabilities
Beba, Sindre; Karlsen, Magnus Melseth (Master thesis, 2019)Brukere må kunne føle seg trygge på at verktøy for statisk kodeanalyse holder sitt løfte om dekningsgrad. Begrensninger, og ikke minst den faktiske ytelsen til disse verktøyene bør gjøres kjent slik at det med sikkerhet ... -
Improved Ontology-Based Semantic Search for Open Data
Dahl, Thorben Werner Sjøstrøm (Master thesis, 2019)Etterhvert som mengden publiserte datasett har økt, har det blitt viktigere og viktigere med verktøy som hjelper brukerne med å finne fram i havet av datasett. Typiske nøkkelord-baserte søk gjør ikke så mye nytte for seg, ... -
Improving and Evaluating Sparse Decision-Based Black-Box Attacks and Defenses
Jacobsen, Jonas Brager (Master thesis, 2023)Beslutningsbaserte black box-angrep er en økende trussel innen maskinlæring da de tillater angripere å endre prediksjonene til maskinlærings-modeller uten å ha tilgang til modellens indre funksjoner eller parametre. “Spredte” ... -
Improving Security and Safety Co-analysis of STPA
Torkildson, Erik Nilsen; Li, Jingyue; Johnsen, Stig Ole (Chapter, 2019)Many safety and security co-analysis methods have been proposed to assure the safety of critical systems, including autonomous systems. One example of safety and security co-analysis approach is Systems-Theoretic Process ... -
Improving Vehicle Localization with Two Low-Cost GPS Receivers
Namazi, Elnaz; Mester, Rudolf; Lu, Chaoru; Log, Markus Metallinos; Li, Jingyue (Chapter, 2021)A primary concern of Intelligent Traffic Management Systems (ITMSs) is to collect the required traffic data. Vehicle position is one of the most important data types to manage traffic effectively. In this regard, Global ... -
Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review
Namazi, Elnaz; Li, Jingyue; Lu, Chaoru (Journal article; Peer reviewed, 2019)Over the past several decades, the development of technologies and the production of autonomous vehicles have enhanced the need for intelligent intersection management systems. Subsequently, growing interest in studying ...