Blar i NTNU Open på forfatter "Li, Jingyue"

Viser treff 61-80 av 104

    • Interoperability between heterogeneous Blockchains for Supply Chains 

      Echtermeyer, Hallvard (Master thesis, 2022)
      Det er et behov for interoperabilitet i det nåværende blokkjeder miljøet for a skape et mindre fragmentert blokkjeder økosystem. I de siste årene har det vært et økt fokus på interoperabilitet mellom homogene blokkjeder. ...

    • Knowledge Discovery and Anomaly Identification for Low Correlation Industry Data 

      Li, Zhe; Li, Jingyue (Peer reviewed; Journal article, 2020)
      With the development of information technology, industry data is increasingly generated during the manufacturing process. Companies often want to utilize the data they collected for more than the initial purposes. In this ...

    • Lean Startup-Driven Software Engineering Education 

      Çiço, Orges (Doctoral theses at NTNU;2023:155, Doctoral thesis, 2023)
      In the past decades, software has become continuously ubiquitous driving modern economies’ innovation, growth and sustainability. According to recent studies, almost all of the prominent industry sectors are today influenced ...

    • Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification 

      Midtlid, Kim André Brunstad; Åsheim, Johannes (Master thesis, 2022)
      De siste årene har forskning vist at dype nevrale nettverk som brukes i bildeklassifiseringssystemer er sårbare mot fiendtlige angrep. I denne oppgaven utformer vi et umålrettet søkeeffektivt beslutningsbasert svart-boks ...

    • Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification 

      Midtlid, Kim André Brunstad; Åsheim, Johannes (Master thesis, 2022)
      De siste årene har forskning vist at dype nevrale nettverk som brukes i bildeklassifiseringssystemer er sårbare mot fiendtlige angrep. I denne oppgaven utformer vi et umålrettet søkeeffektivt beslutningsbasert svart-boks ...

    • Magnitude Adversarial Spectrum Search-based Black-box Attack against Image Classification 

      Midtlid, Kim André; Åsheim, Johannes; Li, Jingyue (Chapter, 2022)
      Recent development has revealed that deep neural networks used in image classification systems are vulnerable to adversarial attacks. Thus, it is critical to understand the possible adversarial attacks to develop effective ...

    • A Method for Enterprise Architecture Model Slicing 

      Guo, Hong; Li, Jingyue; Gao, Shang; Smite, Darja (Peer reviewed; Journal article, 2022)
      Enterprise Architecture (EA) has been applied widely in industry as it brings substantial benefits to ease communication and improve business-IT alignment. However, due to its high complexity and cost, EA still plays a ...

    • Minimizing the Effect of Client Timing Out in Federated Learning Using Federated Dynamic Timeout Window 

      Smestad, Carl (Master thesis, 2023)
      En av de største nedsidene med vanlig maskinlæring (ML) er at det blir utført sentralt. Dette impliserer at klienter må sende personlig og muligens privat data til en sentral server hvor en modell blir generert. En metode ...

    • Neural Network Robustness Against Semantic Adversarial Attacks 

      Syversen, Lars Kåre (Master thesis, 2021)
      I de siste årene har dyp læring hatt en eksplosiv vekst i popularitet, både i akademiske og industrielle applikasjoner. Introduksjonen av konvolusjonære nevrale nettverk har tatt bildegjenkjenningsoppgaver til et nytt nivå ...

    • Operationalizing Machine Learning Models - A Systematic Literature Review 

      Kolltveit, Ask Berstad; Li, Jingyue (Chapter, 2022)
      Deploying machine learning (ML) models to production with the same level of rigor and automation as traditional software systems has shown itself to be a non-trivial task, requiring extra care and infrastructure to deal ...

    • Oppdagelse av Feil i Sensordata for for Ikke-Veiledet Lange Tidsserier 

      Dahling, Cornelius Grieg (Master thesis, 2019)
      Å vedlikeholde stort maskineri, er noen av de største kostnadene som fører med til drift av store maskiner. Med den stadig økende populæriteten til Maskinlæring, har vi de siste årene sett stadig nye metoder for å finne ...

    • Prioritisation of security in agile software development projects 

      Tøndel, Inger Anne (Doctoral theses at NTNU;2022:285, Doctoral thesis, 2022)
      Agile software development is driven by business value, and strives towards visible progressthrough features. Consequently, the somewhat invisible and overarching aspect of softwaresecurity is at the risk of being neglected.A ...

    • Prototyping a digital support tool for an agile implementation of STPA 

      Ludvigsen, Niklas (Master thesis, 2018)
      Systems Theoretic Process Analysis (STPA) is a powerful new hazard analysis method for safety engineering. This method aims to support a world where systems are more complex as a result of software. But this method might ...

    • Revisit security in the era of DevOps: An evidence-based inquiry into DevSecOps industry 

      Zhou, Xin; Mao, Runfeng; Zhang, He; Dai, Qiming; Huang, Huang; Shen, Haifeng; Li, Jingyue; Rong, Guoping (Peer reviewed; Journal article, 2023)
      By adopting agile and lean practices, DevOps aims to achieve rapid value delivery by speeding up development and deployment cycles, which however lead to more security concerns that cannot be fully addressed by an isolated ...

    • Safety and Security Analysis for Autonomous Vehicles 

      Zhang, Jin; Taylor, J. Robert; Kozine, Igor; Li, Jingyue (Research report, 2021)
      Our group has been working for a few years on the topic of safety of autonomous vehicles, including theoretical developments, actual risk analyses, hazard analysis methods effectiveness and quality studies, and neural ...

    • Secure Smart Contract Code Synthesis with Transformer Models 

      Storhaug, André (Master thesis, 2022)
      Å lage smart kontrakter (SK) er vanskelig. Å lage dem sikre er enda vanskeligere. Automatisk kodegenerering regnes av mange som den "hellige gral" innen datavitenskap. Nylige fremskritt innen transformer modeller har vist ...

    • Security and Privacy Challenges in Blockchain Interoperability - A Multivocal Literature Review 

      Haugum, Terje; Hoff, Bjørnar; Li, Jingyue; Alsadi, Mohammed L. K. (Chapter, 2022)
      Transferring data and value across different blockchains is one of the biggest obstacles to further expansion. Blockchain interoperability allows different networks to communicate and transfer data between them and are ...

    • Semoogle - An Ontology Based Search Engine 

      Aghajani, Nooshin (Master thesis, 2012)
      In this thesis, we present a prototype for search engine to show how such a semantic search application based on ontology techniques contributes to save time for user, and improve the quality of relevant search results ...

    • Single-pass and Transferrable GAN-Based Black-box Attacks on Object Detectors 

      Meyer, Torstein (Master thesis, 2021)
      Objektgjenkjenning er et felt innen datasyn der en objektgjenkjenningsmodell beregner posisjon og type av objekter i bilder. Nylig forskning har vist at dype neurale nettverk er svært godt egnet til dette formålet. Det har ...

    • The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies 

      Kristoffersen, Eivind; Blomsma, Fenna; Mikalef, Patrick; Li, Jingyue (Peer reviewed; Journal article, 2020)
      Digital technologies (DTs), such as the Internet of Things (IoT), big data, and data analytics, are considered essential enablers of the circular economy (CE). However, as both CE and DTs are emerging fields, there exists ...