Search Results - "Donghwan Shin"

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  1. 1

    Optimization of an ion transport membrane reactor system for syngas production by Shin, Donghwan, Kang, Sanggyu

    Published in Energy reports (01-11-2022)
    “…Ion transport membrane (ITM) reactor has been regarded as a promising novel technology for syngas production. To commercialize this technology, overall system…”
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    Journal Article
  2. 2

    Development of a Selective Medium for Surveillance of Fusarium Head Blight Disease by Jeon, Hosung, Yang, Jung Wook, Shin, Donghwan, Min, Donggyu, Kim, Byung Joo, Min, Kyunghun, Son, Hokyoung

    Published in The plant pathology journal (01-04-2024)
    “…Fusarium head blight (FHB), predominantly caused by Fusarium graminearum and F. asiaticum, is a significant fungal disease impacting small-grain cereals. The…”
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    Journal Article
  3. 3

    Development of a Selective Medium for Surveillance of Fusarium Head Blight Disease by Hosung Jeon, Jung Wook Yang, Donghwan Shin, Donggyu Min, Byung Joo Kim, Kyunghun Min, Hokyoung Son

    Published in The plant pathology journal (2024)
    “…Fusarium head blight (FHB), predominantly caused by Fusarium graminearum and F. asiaticum, is a significant fungal disease impacting small-grain cereals. The…”
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    Journal Article
  4. 4

    Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study by Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel C.

    “…There is a growing body of research on developing testing techniques for Deep Neural Networks (DNNs). We distinguish two general modes of testing for DNNs:…”
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    Conference Proceeding
  5. 5

    Quality Based Software Project Staffing and Scheduling with Cost Bound by Seo, Dongwon, Shin, Donghwan, Bae, Doo-Hwan

    “…Software project planning is becoming more complicated and important as the size of software project grows. Many approaches have been proposed to help project…”
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    Conference Proceeding Journal Article
  6. 6

    Numerical analysis of an ion transport membrane system for oxy–fuel combustion by Shin, Donghwan, Kang, Sanggyu

    Published in Applied energy (15-11-2018)
    “…•Thermodynamic analysis of the ITM system.•Development of a two dimensional numerical ITM model.•Parametric analysis for the ITM.•Performance comparison of the…”
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    Journal Article
  7. 7

    A spatially resolved physical model of an ion transport membrane reactor for system development by Shin, Donghwan, Kang, Sanggyu

    Published in Journal of membrane science (15-09-2019)
    “…The ion transport membrane (ITM) reactor has been developed as a potential novel syngas production technology that includes both air separation and fuel…”
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    Journal Article
  8. 8

    Design and performance analysis of a cascade solid oxide fuel cell system for high electrical efficiency by Shin, Donghwan, Kim, Taebeen, Kang, Sanggyu

    Published in Applied thermal engineering (01-08-2021)
    “…•Optimized design of the cascade solid oxide fuel cell system has been proposed.•Performance of cascade system has been compared other two types of…”
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    Journal Article
  9. 9

    Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search by Sharifi, Sepehr, Shin, Donghwan, Briand, Lionel C., Aschbacher, Nathan

    Published in IEEE transactions on software engineering (06-11-2023)
    “…In Machine Learning (ML)-enabled autonomous systems (MLASs), it is essential to identify the hazard boundary of ML Components (MLCs) in the MLAS under…”
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    Journal Article
  10. 10

    PRINS: scalable model inference for component-based system logs by Shin, Donghwan, Bianculli, Domenico, Briand, Lionel

    “…Behavioral software models play a key role in many software engineering tasks; unfortunately, these models either are not available during software development…”
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    Journal Article
  11. 11

    A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion by Shin, Donghwan, Yoo, Shin, Bae, Doo-Hwan

    Published in IEEE transactions on software engineering (01-10-2018)
    “…Diversity has been widely studied in software testing as a guidance towards effective sampling of test inputs in the vast space of possible program behaviors…”
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    Journal Article
  12. 12

    Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization by Haq, Fitash Ul, Shin, Donghwan, Briand, Lionel

    “…With the recent advances of Deep Neural Networks (DNNs) in real-world applications, such as Automated Driving Systems (ADS) for self-driving cars, ensuring the…”
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    Conference Proceeding
  13. 13

    Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults by Papadakis, Mike, Shin, Donghwan, Yoo, Shin, Bae, Doo-Hwan

    “…Empirical validation of software testing studies is increasingly relying on mutants. This practice is motivated by the strong correlation between mutant scores…”
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    Conference Proceeding
  14. 14

    Can Offline Testing of Deep Neural Networks Replace Their Online Testing?: A Case Study of Automated Driving Systems by Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel

    “…We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets…”
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    Journal Article
  15. 15

    Proposal of value-added service based on real-time automatic content recognition by Donghwan Shin, Jonguk Choi

    “…ACR (Automatic Contents Recognition) technology is a technology for automatically recognizing contents, and mainly recognizes contents using audio signal…”
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    Conference Proceeding
  16. 16

    Identifying the Hazard Boundary of ML-Enabled Autonomous Systems Using Cooperative Coevolutionary Search by Sharifi, Sepehr, Shin, Donghwan, Briand, Lionel C., Aschbacher, Nathan

    Published in IEEE transactions on software engineering (01-12-2023)
    “…In Machine Learning (ML)-enabled autonomous systems (MLASs), it is essential to identify the hazard boundary of ML Components (MLCs) in the MLAS under…”
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    Journal Article
  17. 17

    A Theoretical Framework for Understanding Mutation-Based Testing Methods by Donghwan Shin, Doo-Hwan Bae

    “…In the field of mutation analysis, mutation is the systematic generation of mutated programs (i.e., mutants) from an original program. The concept of mutation…”
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    Conference Proceeding
  18. 18
  19. 19

    Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction by Hadadi, Fatemeh, Dawes, Joshua H., Shin, Donghwan, Bianculli, Domenico, Briand, Lionel

    “…With the increasing complexity and scope of software systems, their dependability is crucial. The analysis of log data recorded during system execution can…”
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    Journal Article
  20. 20

    Can Offline Testing of Deep Neural Networks Replace Their Online Testing? by Haq, Fitash Ul, Shin, Donghwan, Nejati, Shiva, Briand, Lionel

    “…We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets…”
    Get full text
    Journal Article