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Code design for run-length control in visible light communication Research Articles

Zong-yan Li, Hong-lu Yu, Bao-ling Shan, De-xuan Zou, Shi-yin Li,lizongyan@cumt.edu.cn,yuhonglu1993@126.com,baoling.shan@student.uts.edu.au

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1397-1411 doi: 10.1631/FITEE.1900526

Abstract: are developed by designing the to further enhance the coding gain by improving the and using the state-splittingmethod to realize small state numbers.

Keywords： Visible light communication     Run-length limited codes     Finite-state machine     Minimum Hamming distance    

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State-of-the-art applications of machine learning in the life cycle of solid waste management

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 4, doi: 10.1007/s11783-023-1644-x

Abstract:

● State-of-the-art applications of machine learning (ML) in solid waste

Keywords： Machine learning (ML)     Solid waste (SW)     Bibliometrics     SW management     Energy utilization     Life cycle    

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Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: of AI methods in lithium-ion battery health management and in particular analyses the application of machinelearning (ML), one of the many branches of AI, to lithium-ion battery state of health (SOH), focusing

Keywords： machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 288-302 doi: 10.1007/s11705-021-2055-9

Abstract: The environment consists of a steady-state flowsheet simulator that contains all physical knowledge.

Keywords： automated process synthesis     flowsheet synthesis     artificial intelligence     machine learning     reinforcement    

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A matrix-based static approach to analysis of finite state machines Research Article

He DENG, Yongyi YAN, Zengqiang CHEN,yyyan@mail.nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1239-1246 doi: 10.1631/FITEE.2100561

Abstract: Traditional matrix-based approaches in the field of construct state transition matrices, and then usethe powers of the state transition matrices to represent corresponding dynamic transition processes,In this study, we propose a static matrix-based approach that revisits a finite state machine from its

Keywords： Logical systems     Finite-valued systems     Semi-tensor product of matrices     Finite state machines     Matrix    

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Optimization design of an interior permanent-magnet synchronous machine for a hybrid hydraulic excavator

Qi-huai CHEN,Qing-feng WANG,Tao WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 957-968 doi: 10.1631/FITEE.1500056

Abstract: transmission system (HPTS) is a promising way to save energy in a hydraulic excavator and the electric machineA parameterized design approach, which combines the analytical model and the 2D finite element method(FEM), is applied to the electric machine to improve the design efficiency and accuracy.The analytical model is employed to optimize the electric machine efficiency and obtain the stator dimensionA prototype of the newly designed electric machine has been fabricated and tested on the experimental

Keywords： Analysis     Design     Hybrid hydraulic excavator (HHE)     Finite element method (FEM)     Interior permanent-magnet(PM) motor     PM synchronous machine (PMSM)    

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Design and modeling of a free-piston engine generator

Frontiers in Energy   Pages 811-821 doi: 10.1007/s11708-022-0848-2

Abstract: parts: a two-stroke engine, an integrated scavenging pump, and a linear permanent magnet synchronous machineA finite element model with a multi-objective genetic algorithm was adopted for its design.The finite element model results were fed back to the numerical model to update the LPMSM with increased

Keywords： free-piston engine generator     linear permanent magnet synchronous machine     system design     numerical model     finite element method    

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Thermal Characteristics of the Main Spindle With Cooling System on the XK717 CNC Milling Machine

Wang Jinsheng,Hu Rufu,Wu Xiuhai

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 84-88

Abstract:

The main spindle system is a key part on the machine tools.The quality of thermal behavior influences the machining accuracy of machine tools directly.In this paper, thermal characteristics of spindle system on the XK717 CNC milling machine are analyzedby combining finite element method with cooling model between spindle system and water tank.This research provides the theoretical fundamentals for optimization design of CNC milling machine.

Keywords： thermal characteristics     finite element     optimization design     CNC milling machine    

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A Self-adaptive Automatic Program Designand Application in Vending Machine

Yu Shiming,Ding Guozheng,Liu Lifeng

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 147-150

Abstract:  But, when the program fault emerges in the state-orient model, how to make the program return tothe state the fault point belong to or take further corresponding actions, the return-value or emergencyfault automatically, this article presents automatic program design with uniting combined coding and stateThe model is used for decreasing faults of state-switch("prevent" ) and increasing capabilityAt last, part of the results presented in this paper are applied to a vending machine project and the

Keywords： self-adaptive     state redundant design     automatic program design     fault-restore     vending machine    

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The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Review

Yue Hou, Qiuhan Li, Chen Zhang, Guoyang Lu, Zhoujing Ye, Yihan Chen, Linbing Wang, Dandan Cao

Engineering 2021, Volume 7, Issue 6,   Pages 845-856 doi: 10.1016/j.eng.2020.07.030

Abstract: analysis of such data, including various intrusive sensing techniques, image processing techniques, and machineThis review summarizes the state-of-the-art of these three technologies in pavement engineering in recent

Keywords： Pavement monitoring and analysis     The state-of-the-art review     Intrusive sensing     Image processing techniques     Machine learning methods    

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State space optimization of finite state machines from the viewpoint of control theory Research Article

Jumei Yue, Yongyi Yan, Zengqiang Chen, He Deng,yjm@mail.nankai.edu.cn,yyyan@mail.nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000608

Abstract: Motivated by the inconvenience or even inability to explain the mathematics of the state of (FSMs)Based on the state transition dynamic equations of FSMs proposed in recent years, several mathematicalFurther, two ways of reducing the state space of FSMs are found.

Keywords： 有限状态自动机；有限值系统；逻辑系统；逻辑网络；矩阵半张量积；空间优化    

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A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 6,   Pages 667-684 doi: 10.1007/s11709-022-0822-4

Abstract: The study proposes a framework combining machine learning (ML) models into a logical hierarchical systemThe study uses the hardening soil (HS) model to develop a 200-sample finite element analysis (FEA) database

Keywords： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

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Research on structural health monitoring (SHM) system based on RTK GPS system

Wang Renpeng,Yao Lianbi,Meng Xiaolin

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 63-70

Abstract: coordinate time series were treated as the multi-outputs of the dynamic system and used to build the stateresults of test that completed when the bridge was opened in 1990 and results that forecasted by fine finiteThe research illustrated that the state-space model and ARMA model were efficient tools for evaluation

Keywords： RTK GPS system     time series     state-space model     ARMA model     finite element model    

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The State of the Art of Data Science and Engineering in Structural Health Monitoring Article

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Engineering 2019, Volume 5, Issue 2,   Pages 234-242 doi: 10.1016/j.eng.2018.11.027

Abstract: This paper provides a brief review of the state of the art of data science and engineering in SHM asapproaches using computer vision techniques, and condition assessment approaches for bridges using machine

Keywords： Structural health monitoring     Monitoring data     Compressive sampling     Machine learning     Deep learning    

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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Title Author Date Type Operation

Code design for run-length control in visible light communication

Zong-yan Li, Hong-lu Yu, Bao-ling Shan, De-xuan Zou, Shi-yin Li,lizongyan@cumt.edu.cn,yuhonglu1993@126.com,baoling.shan@student.uts.edu.au

Journal Article

State-of-the-art applications of machine learning in the life cycle of solid waste management

Journal Article

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

Journal Article

A matrix-based static approach to analysis of finite state machines

He DENG, Yongyi YAN, Zengqiang CHEN,yyyan@mail.nankai.edu.cn

Journal Article

Optimization design of an interior permanent-magnet synchronous machine for a hybrid hydraulic excavator

Qi-huai CHEN,Qing-feng WANG,Tao WANG

Journal Article

Design and modeling of a free-piston engine generator

Journal Article

Thermal Characteristics of the Main Spindle With Cooling System on the XK717 CNC Milling Machine

Wang Jinsheng,Hu Rufu,Wu Xiuhai

Journal Article

A Self-adaptive Automatic Program Designand Application in Vending Machine

Yu Shiming,Ding Guozheng,Liu Lifeng

Journal Article

The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine

Yue Hou, Qiuhan Li, Chen Zhang, Guoyang Lu, Zhoujing Ye, Yihan Chen, Linbing Wang, Dandan Cao

Journal Article

State space optimization of finite state machines from the viewpoint of control theory

Jumei Yue, Yongyi Yan, Zengqiang Chen, He Deng,yjm@mail.nankai.edu.cn,yyyan@mail.nankai.edu.cn

Journal Article

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Journal Article

Research on structural health monitoring (SHM) system based on RTK GPS system

Wang Renpeng,Yao Lianbi,Meng Xiaolin

Journal Article

The State of the Art of Data Science and Engineering in Structural Health Monitoring

Yuequan Bao, Zhicheng Chen, Shiyin Wei, Yang Xu, Zhiyi Tang, Hui Li

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article