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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: System reliability optimization problems have been widely discussed to maximize system reliability withThe rules for simple optimization problems are summarized to enhance system reliability by using rankingThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtainFurthermore, a general framework driven by IM is developed to solve optimization problems.Finally, some challenges in system reliability optimization that need to be solved in the future are

Keywords： importance measure     system performance     reliability optimization     optimization rules     optimization algorithms    

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: and scheduling, real world problems cannot be fully captured considering only a single objective for optimizationIn this paper, an optimization algorithm for solving MOIPPS problem is presented.The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize the

Keywords： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm     multi-objective optimization    

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Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract: This paper assesses the performance of nine dispatching rules in such shop from makespan, mean flow timeNine dispatching rules identified from literature are incorporated in the simulation model.

Keywords： scheduling     stochastic dynamic job shop     sequence-dependent setup times     dispatching rule     simulation    

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Space-time evolution rules study on acoustic emission location in rock under cyclic loading

Jiang XU, Shuchun LI, Yunqi TAO, Yongdong JIANG, Xiaojun TANG,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 422-427 doi: 10.1007/s11709-009-0056-8

Abstract: An acoustic emission (AE) location experiment was performed on sandstone using an advanced AE test system. The space-time evolution rule regarding damage was analyzed under cyclic loading as well as AE. The results show that AE on static loading process is consistent with the damage evolution rule of compression and the elastic-plastic deformation phase; at the beginning of cyclic loading with low duration time and energy, AE events came from a small crack. The location result showed that most events occurred in the core zone forming at the static loading process, and the location points changed slowly. AE energy changed little during the metaphase of cyclic process. There was a modest increase of location points in every cycle. The tendency of steady development could be predicted from the AE location events. At the end of each cyclic loading, the quantity of AE events and energy increased quite rapidly, reaching a maximum at the last cycle. AE events had high energy and duration time. Location events changed quite rapidly and assembled and linked continuously in the core zone. At the same time, they expanded to the top of specimen. A macroscopic crack finally formed. In the postfailure process, some AE events still existed due to fracturing of gliding friction. Owing to the inner stress balance of rock even after loading stopped, minor AE events still occurred.

Keywords： location result     AE location     consistent     friction     elastic-plastic deformation    

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Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 78-81

Abstract:

According to the fuzzy theory and practical experience, the authors propose a rules autoconditioning

Keywords： fuzzy controller     rules auto-tuning     adaptive    

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The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 505-517 doi: 10.1007/s11705-020-2013-y

Abstract: However, their designing rules are still lacking critical thinking from the viewpoint of the intrinsicThese two rules are demonstrated, and could be considered with priority both in the future researches

Keywords： MXene based sensor     prior     reducing gases     oxidizing gases    

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Words alignment based on association rules for cross-domain sentiment classification None

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 260-272 doi: 10.1631/FITEE.1601679

Abstract: In this paper, we propose a novel approach called words alignment based on association rules (WAAR) forrelationship between domain-specific words in different domains by learning the strong association rules

Keywords： Sentiment classification     Cross-domain     Association rules    

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New US Rules Promise to Unlock Hearing Aid Availability

Mitch Leslie

Engineering 2022, Volume 14, Issue 7,   Pages 7-9 doi: 10.1016/j.eng.2022.05.008

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Overall HIEs deconstruction method and its application

Li LIN, Chengqi XUE,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 466-471 doi: 10.1007/s11465-009-0076-z

Abstract: A mobile phone is taken as the research subject, the emotional design rules are inferred based on the

Keywords： product design     relationship model     human interface     design rules     emotion    

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Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 112-120 doi: 10.1007/s11684-017-0582-z

Abstract: Comprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acupuncture treatment in a clinical setting was explored. A total of 232 clinical records were collected using a Charting Language program. The relationship between symptom information and selected acupoints was trained using an artificial neural network (ANN). A total of 11 hidden nodes with the highest average precision score were selected through a tenfold cross-validation. Our ANN model could predict the selected acupoints based on symptom and disease information with an average precision score of 0.865 (precision, 0.911; recall, 0.811). This model is a useful tool for diagnostic classification or pattern recognition and for the prediction and modeling of acupuncture treatment based on clinical data obtained in a real-world setting. The relationship between symptoms and selected acupoints could be systematically characterized through knowledge discovery processes, such as pattern identification.

Keywords： acupuncture     indication     neural network     pattern identification     prediction    

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Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Engineering doi: 10.1016/j.eng.2023.04.016

Abstract: Using formal or digital methods, natural language traffic rules can be translated into machine languageThe issue of how to ensure that digital rules are accurate and consistent with the original intent ofthe traffic rules they represent is both significant and unresolved.Reasonable and reassuring digital traffic rules can be obtained by utilizing the proposed traffic ruleIn addition, we offer a number of simulation applications that employ digital traffic rules to assess

Keywords： Autonomous driving     Traffic rules     Digitization     Formalization     Verification    

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An Intelligent Expert System on Rough Sets

Zeng Huanglin

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 47-51

Abstract: compatible algorithm is proposed to simplify the knowledge expressions and to induce the system decision rules

Keywords： sets     intelligent expert system     indiscernibility relation     knowledge expression simplification     decision rules    

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The Study on the Detonation Transmission Rules and Application of the Super Low Energy Detonating Cord

Mei Qun,Shen Zhaowu,Zhou Tingqing

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 69-72

Abstract:

In this paper, the detonation transmission rules of the super low energy detonating cord was studied

Keywords： super low energy detonating cord     reverse priming     dynamite compression    

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Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 52-58

Abstract: fuzzy partition validity index, then the optimal number of dusters and, hence, the optimal number of rulesare obtained; The second step is to construct the initial fuzzy system based on the optimal number of rulesAt last, the fuzzy rules of productivity factor of China is extracted by the fuzzy system.

Keywords： similarity measures     fuzzy model     fuzzy rules     fuzzy sets    

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A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 42-46

Abstract: First, a set of rough rules are found from the given training data by using rough sets theory, then thestructure and model are designed according these rules, and then the model is trained by neural network

Keywords： rough sets     fuzzy logic     neural network     rules extracted    

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Title Author Date Type Operation

Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Journal Article

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Journal Article

Space-time evolution rules study on acoustic emission location in rock under cyclic loading

Jiang XU, Shuchun LI, Yunqi TAO, Yongdong JIANG, Xiaojun TANG,

Journal Article

Rules Auto-conditioning Fuzzy Controller

Cheng Jin,Zhang Chenghui,Xia Dongwei

Journal Article

The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Journal Article

Words alignment based on association rules for cross-domain sentiment classification

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

Journal Article

New US Rules Promise to Unlock Hearing Aid Availability

Mitch Leslie

Journal Article

Overall HIEs deconstruction method and its application

Li LIN, Chengqi XUE,

Journal Article

Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Journal Article

Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Journal Article

An Intelligent Expert System on Rough Sets

Zeng Huanglin

Journal Article

The Study on the Detonation Transmission Rules and Application of the Super Low Energy Detonating Cord

Mei Qun,Shen Zhaowu,Zhou Tingqing

Journal Article

Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article