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Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 118-126 doi: 10.1007/s11465-013-0253-y

Abstract:

To enhance the performance of high speed transfer system of LED chip sorting equipment, its control parameters need to be well matching with the mechanical system. In practical issues, it is difficult and time-consuming work to get these parameters matched because their selection is strongly depended on individuals. In current work, an integrated optimization method was carried out to solve this problem, in which the multiple control parameters optimization, modeling and simulation were included, i.e., a multi-domain model of transfer system performed on Dymola platform. Based on this model, the searching area of the key control parameters was narrowed by performing integrated optimization. After that a group of parameters were selected from this narrowed area to perform the equipment’s controls. The result showed this method possesses a simple and reliable nature. The optimal solutions also indicated that the optimized control parameters can well satisfy the requirements of transfer system. On the other hand, it greatly reduced the engineering adjustment time by using this method.

Keywords： LED chip sorter     multi-domain modeling and simulation     parameter optimization     modelica language    

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Six-Writings multimodal processing with pictophonetic coding to enhance Chinese language models Research Article

Li WEIGANG;Mayara Chew MARINHO;Denise Leyi LI;Vitor Vasconcelos DE OLIVEIRA;

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 1,   Pages 84-105 doi: 10.1631/FITEE.2300384

Abstract: While large language models (LLMs) have made significant strides in natural language processing (NLP), they continue to face challenges in adequately addressing the intricacies of the Chinese language in

Keywords： Chinese language model     Chinese natural language processing (CNLP)     Generative language model     Multimodal    

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Pre-Trained Language Models and Their Applications Review

Haifeng Wang, Jiwei Li, Hua Wu, Eduard Hovy, Yu Sun

Engineering 2023, Volume 25, Issue 6,   Pages 51-65 doi: 10.1016/j.eng.2022.04.024

Abstract:

Pre-trained language models have achieved striking success in natural language processing (NLP), leading

Keywords： Pre-trained models     Natural language processing    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract:

New framework of knowledge representation of fuzzy language field and fuzzy language value structure

Keywords： language field     language value structure     generalized cell automation     generalized inductive logic causal    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as information

Keywords： NER     NLP     Chinese language     construction document    

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Application of Artificial Intelligence Large Language Model for Smart Environmental Judicial Adjudication

Chen Xiaohong , Chen Jiaolong , Hu Dongbin , Liang Wei

Strategic Study of CAE 2024, Volume 26, Issue 1,   Pages 190-201 doi: 10.15302/J-SSCAE-2024.07.004

Abstract: The artificial intelligence large language model (AI-LLM), developed based on generative artificial

Keywords： environmental justice     smart adjudication system     artificial intelligence large language model     generative    

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A framework for an integrated unified modeling language

Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 143-159 doi: 10.1631/FITEE.1500094

Abstract:

The unified modeling language (UML) is one of the most commonly used modeling languages in the softwareintegrating the UML extensions and then use the framework to propose an integrated unified modeling language-graphical

Keywords： Unified modeling language (UML)     Integration     Modeling     System analysis and design    

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Software development in the age of intelligence: embracing large language models with the right approach Perspective

Xin PENG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1513-1519 doi: 10.1631/FITEE.2300537

Abstract: The emergence of large language models (LLMs), represented by ChatGPT, has had a profound impact on various

Keywords： 大语言模型；ChatGPT；软件工程；软件开发    

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Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration and noise reduction

Guilian YI, Yunkang SUI, Jiazheng DU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 229-234 doi: 10.1007/s11465-011-0128-z

Abstract:

To reduce vibration and noise, a damping layer and constraint layer are usually pasted on the inner surface of a gearbox thin shell, and their thicknesses are the main parameters in the vibration and noise reduction design. The normal acceleration of the point on the gearbox surface is the main index that can reflect the vibration and noise of that point, and the normal accelerations of different points can reflect the degree of the vibration and noise of the whole structure. The K-S function is adopted to process many points’ normal accelerations as the comprehensive index of the vibration characteristics of the whole structure, and the vibration acceleration level is adopted to measure the degree of the vibration and noise. Secondary development of the Abaqus preprocess and postprocess on the basis of the Python scripting programming automatically modifies the model parameters, submits the job, and restarts the analysis totally, which avoids the tedious work of returning to the Abaqus/CAE for modifying and resubmitting and improves the speed of the preprocess and postprocess and the computational efficiency.

Keywords： Abaqus secondary development     Python language     vibration and noise reduction     K-S function     vibration acceleration    

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Mechanized semantics and refinement of UML-Statecharts Article

Feng SHENG, Liang DOU, Zong-yuan YANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1773-1783 doi: 10.1631/FITEE.1601196

Abstract: The Unified Modeling Language (UML) is an industry standard for modeling analysis and design.

Keywords： Unified Modeling Language (UML)-Statecharts     Coq     Refinement     Structured operational semantics    

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Study of RDL-based data report in bridge structural health monitoring system

Zhang Xiaobin,Chen Weiguo

Strategic Study of CAE 2010, Volume 12, Issue 7,   Pages 110-112

Abstract:

Aiming at the low flexibility of data analysis and high rate of data errors of traditional data reporting program, this article transformed the problems into multiple templates report, proposed a RDL-based data reporting program. Engineering application results show that the program has the advantage of high flexibility, high degree of integration and high operability, therefore, the program can effectively analyze the data of bridge structural health monitoring system.

Keywords： structural health monitoring system     RDL     report definition language     data report    

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Large language model and domain-specific model collaboration for smart education Perspective

Yawei LUO, Yi YANG,yaweiluo@zju.edu.cn,yangyics@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 3,   Pages 333-341 doi: 10.1631/FITEE.2300747

Abstract: In this paper, we introduce the large language model and domain-specific model collaboration (LDMC) framework

Keywords： 智慧教育；大型语言模型；领域特定模型；多模型协作；多重知识表达    

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Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots

Peng Jiang,Christian Sonne,Wangliang Li,Fengqi You,Siming You,

Engineering doi: 10.1016/j.eng.2024.04.002

Abstract: Intelligent chatbots powered by large language models (LLMs) have recently been sweeping the world, with

Keywords： Large language models     Intelligent chatbots     Carbon emissions     Energy and environmental footprints     Life-cycle    

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Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3,   Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract:

Natural language processing (NLP) is a subfield of artificial intelligence (AI) that focuses on enabling

Keywords： Natural language processing     Deep learning     Modeling     learning     and Reasoning    

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Privacy Computing: Concept, Computing Framework, and Future Development Trends Article

Fenghua Li, Hui Li, Ben Niu, Jinjun Chen

Engineering 2019, Volume 5, Issue 6,   Pages 1179-1192 doi: 10.1016/j.eng.2019.09.002

Abstract: computing, algorithm design criteria, evaluation of the privacy-preserving effect, and a privacy computing language

Keywords： information description     Privacy metric     Evaluation of the privacy-preserving effect     Privacy computing language    

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Title Author Date Type Operation

Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter

Jie OUYANG, Bin LI, Shihua GONG

Journal Article

Six-Writings multimodal processing with pictophonetic coding to enhance Chinese language models

Li WEIGANG;Mayara Chew MARINHO;Denise Leyi LI;Vitor Vasconcelos DE OLIVEIRA;

Journal Article

Pre-Trained Language Models and Their Applications

Haifeng Wang, Jiwei Li, Hua Wu, Eduard Hovy, Yu Sun

Journal Article

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

Application of Artificial Intelligence Large Language Model for Smart Environmental Judicial Adjudication

Chen Xiaohong , Chen Jiaolong , Hu Dongbin , Liang Wei

Journal Article

A framework for an integrated unified modeling language

Mohammad ALSHAYEB,Nasser KHASHAN,Sajjad MAHMOOD

Journal Article

Software development in the age of intelligence: embracing large language models with the right approach

Xin PENG

Journal Article

Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration and noise reduction

Guilian YI, Yunkang SUI, Jiazheng DU

Journal Article

Mechanized semantics and refinement of UML-Statecharts

Feng SHENG, Liang DOU, Zong-yuan YANG

Journal Article

Study of RDL-based data report in bridge structural health monitoring system

Zhang Xiaobin,Chen Weiguo

Journal Article

Large language model and domain-specific model collaboration for smart education

Yawei LUO, Yi YANG,yaweiluo@zju.edu.cn,yangyics@zju.edu.cn

Journal Article

Preventing the Immense Increase in the Life-Cycle Energy and Carbon Footprints of LLM-Powered Intelligent Chatbots

Peng Jiang,Christian Sonne,Wangliang Li,Fengqi You,Siming You,

Journal Article

Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Journal Article

Privacy Computing: Concept, Computing Framework, and Future Development Trends

Fenghua Li, Hui Li, Ben Niu, Jinjun Chen

Journal Article