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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.Results indicate that shortest setup time (SIMSET) rule provides the best performance for mean flow timeThe job with similar setup and modified earliest due date (JMEDD) rule provides the best performance

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

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, which can serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis. The existing entity and relation extraction methods that depend on pretrained models have shown promising performance on open datasets. However, the performance of these methods degrades when they face domain-specific datasets. Entity extraction models treat characters as basic semantic units while ignoring known character dependency in specific domains. Relation extraction is based on the hypothesis that the relations hidden in sentences are unified, thereby neglecting that relations may be diverse in different entity tuples. To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries to enhance characters’ dependence. Second, domain rules were built to eliminate noise in entity relations and promote potential entity relation extraction. Finally, experiments were designed to verify the effectiveness of our proposed methods. Experimental results on two domains, including laser industry and unmanned ship, showed the superiority of our methods. The F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmanned ship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively. In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry entity pair and unmanned ship entity pair datasets, respectively.

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 258-270 doi: 10.1007/s11684-016-0458-7

Abstract:

The N-end rule pathway is a unique branch of the ubiquitin-proteasome system in which the determinationThe molecular basis of the N-end rule pathway has been elucidated and its physiological functions haveThis review summarized the physiological functions of the N-end rule pathway, introduced the related

Keywords： N-end rule pathway     Ate1     cardiovascular development     neurogenesis     spermatogenesis     neurodegenerative disorders    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract: To improve the robustness of the scheduling scheme, we propose a novel slack-based robust scheduling rule

Keywords： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling rule    

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variableAt last, some future directions on association rule generation are viewed.

Keywords： data mining     association rule     algorithms     survey    

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Study on the NOx release rule along the boiler during pulverized coal combustion

JIN Jing, ZHANG Zhongxiao, LI Ruiyang

Frontiers in Energy 2007, Volume 1, Issue 1,   Pages 91-95 doi: 10.1007/s11708-007-0009-7

Abstract: Numerical simulation and experimental study on NO release along the boiler during pulverized coal combustion have been conducted. With the increase of temperature the NO emission increased and the peak value of NO release moved forward. But when the temperature increased to a certain degree, NO emission began to reduce. NO emission increased with the increase of nitrogen content of coal. The peak value of NO release moved backwards with the increase of coal rank. NO emission increased obviously with the increase of stoichiometric ratio. There existed a critical average diameter of the pulverized coal (). If "d, NO emission reduced with the decrease of pulverized coal size. If >, NO emission reduced with the increase of the pulverized coal size. The results showed that the simulation results are in agreement with the experimental results for concentration distribution of NO along the axis of the furnace.
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The study of slip line field and upper bound method based on the non-associated flow rule

Zheng Yingren,Deng Chujian,Wang Jinglin

Strategic Study of CAE 2010, Volume 12, Issue 8,   Pages 56-69

Abstract: text-align: justify;">The slip line field theory and the upper bound method based on the associated flow ruleplastic theory don't accord with the experiment for geotechnical material ,so the non-associated flow ruleproblems existing in the slip line field theory and the upper bound method based on the associated flow ruleThe slip line field theory and the upper bound method based on the non-associated flow rule were deducedinconsistencies in the slip line field theory and the upper bound method based on the associated flow rule

Keywords： slip line field     upper bound method     associated flow rule     non-associated flow rule     generalized plastic    

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An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 241-253 doi: 10.1007/s11465-018-0518-6

Abstract: This paper proposes an improved artificial bee colony (IABC) algorithm with the MaxTF heuristic rule.In the heuristic initialization process, the MaxTF rule defines a new task’s priority weight.The experimental results demonstrate that the proposed MaxTF rule performs better than other heuristic

Keywords： two-sided assembly line balancing problem     artificial bee colony algorithm     heuristic rules     time boundary    

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Based on ancient chinese engineering management “Dujiangyan Triangle Rule”and its application

Lu Guiqing

Strategic Study of CAE 2013, Volume 15, Issue 11,   Pages 24-30

Abstract: Dujiangyan water conservancy, it creatively puts forward and establishes the "Dujiangyan Triangle Rulestate-owned construction enterprises,this paper discourses the connotation of "Dujiangyan Triangle Rule

Keywords： construction engineering management     labor productivity     Dujiangyan Triangle Rule     human resource management    

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Optimization of multi-objective integrated process planning and scheduling problem using a priority based optimization 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: 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    

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Extracting terms from clinical records of traditional Chinese medicine

Cungen Cao,Meng Sun,Shi Wang

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 347-351 doi: 10.1007/s11684-014-0361-z

Abstract:

Health records of traditional Chinese medicine contain valuable clinical information which can be used for improvement of disease treatment and for medical research. In this paper, we present a practical iterative extraction method for extracting terms from the records. The method is based on a set of extraction rules, the Mesh, and the likelihood ratio technique, and achieved a precision rate of 88.18% and a recall rate of 94.21%.

Keywords： term extraction     rule-based     likelihood ratio    

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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: Harmony search (HS) is a form of stochastic meta-heuristic inspired by the improvisation process of musicians. In this study, a modified HS with a hybrid cuckoo search (CS) operator, HS-CS, is proposed to enhance global search ability while avoiding falling into local optima. First, the randomness of the HS pitch disturbance adjusting method is analyzed to generate an adaptive inertia weight according to the quality of solutions in the harmony memory and to reconstruct the fine-tuning bandwidth optimization. This is to improve the efficiency and accuracy of HS algorithm optimization. Second, the CS operator is introduced to expand the scope of the solution space and improve the density of the population, which can quickly jump out of the local optimum in the randomly generated harmony and update stage. Finally, a dynamic parameter adjustment mechanism is set to improve the efficiency of optimization. Three theorems are proved to reveal HS-CS as a meta-heuristic algorithm. In addition, 12 benchmark functions are selected for the optimization solution to verify the performance of HS-CS. The analysis shows that HS-CS is significantly better than other algorithms in optimizing high-dimensional problems with strong robustness, high convergence speed, and high convergence accuracy. For further verification, HS-CS is used to optimize the back propagation neural network (BPNN) to extract weighted fuzzy production rules. Simulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted fuzzy production rules. Therefore, the proposed HS-CS is proved to be effective.

Keywords： algorithm     Cuckoo search algorithm     Global convergence     Function optimization     Weighted fuzzy production rule    

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Several basic problems in plastic theory of geomaterials

Yuanxue LIU, Jiawu ZHOU, Zhongyou LI, Chen CHEN, Yingren ZHENG

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 81-84 doi: 10.1007/s11709-009-0016-3

Abstract: surface model based on the classical theory of plasticity is unsuitable for geomaterials whether the rulenumber is the same as the freedoms of plastic strain increment; the yield surface is not convex; and the rule

Keywords： constitutive relation     geomaterials     classial plastic theory     Drucker Postulate     yield surface     flow rule    

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Current Status and Future Development of Integrated Transportation Technology in China

He Hongwen , Sun Fengchun , Li Menglin

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 202-211 doi: 10.15302/J-SSCAE-2023.06.012

Abstract:

In-depth exploration of the goals and common challenges in the development of integrated transportation technology is crucial for promoting the continuous progress of integrated transportation in China. This study reviews the current state of transportation engineering and technology in China from five dimensions: road, rail, water, aviation, and urban-integrated transportations. The future trends of integrated transportation engineering and technology in China are summarized, characterized by networking of transportation systems, shared mobility, intelligent traffic control, coordinated transportation operation, and threedimensional transportation layout. The study suggests that comprehensive transportation engineering and technology breakthroughs can be achieved through the construction of an integrated transportation system, establishment of a digital infrastructure platform for transportation, development of comprehensive transportation command and control centers, and implementation of related services. The following strategic measures are recommended: constructing a new integrated transportation system, fostering new models of transportation and mobility, establishing an integrated transportation network, building multi-modal transportation hubs, and implementing major projects in intelligent and connected three-dimensional transportation. These initiatives will effectively drive the high-quality development of integrated transportation in China.

Keywords： integrated transportation     engineering technology     intelligent connected     smart dispatching     three-dimensional    

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A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 32-36

Abstract:

In this paper, a combined decision-making model is presented for dealing with uncertain and imprecise problems, based on the difference between fuzzy sets and rough sets theories. The model is firstly to classify the uncertain examples given using fuzzy clustering analysis, to make a decision table specified,and then to simplify the decision table by means of the rough sets theory. It gives all possible minimal decision algorithms associated with the decision table. These decision algorithms have found application in larger field.

Keywords： fuzzy clustering     rough sets     decision table     decision rule    

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Title Author Date Type Operation

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

Pankaj SHARMA,Ajai JAIN

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Journal Article

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Journal Article

Study on the NOx release rule along the boiler during pulverized coal combustion

JIN Jing, ZHANG Zhongxiao, LI Ruiyang

Journal Article

The study of slip line field and upper bound method based on the non-associated flow rule

Zheng Yingren,Deng Chujian,Wang Jinglin

Journal Article

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Journal Article

Based on ancient chinese engineering management “Dujiangyan Triangle Rule”and its application

Lu Guiqing

Journal Article

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

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

Extracting terms from clinical records of traditional Chinese medicine

Cungen Cao,Meng Sun,Shi Wang

Journal Article

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

Several basic problems in plastic theory of geomaterials

Yuanxue LIU, Jiawu ZHOU, Zhongyou LI, Chen CHEN, Yingren ZHENG

Journal Article

Current Status and Future Development of Integrated Transportation Technology in China

He Hongwen , Sun Fengchun , Li Menglin

Journal Article

A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Journal Article