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Combinational Evaluation Method Based on Projection Pursuit Algorithm

Wang Shuo, Yang Shanlin, Hu Xiaoxuan

Strategic Study of CAE 2008, Volume 10, Issue 8,   Pages 60-64

Abstract: Aim at this problem, a method uses projection pursuit algorithm to establish combinational evaluationThe real coded accelerating genetic algorithm is used to dispose those non-linear problems.The example shows the combinational evaluation method based on projection pursuit algorithm is scientific

Keywords： combinational evaluation     projection pursuit algorithm     real code daccelerating enetic algorithm     identification    

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Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix None

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 503-512 doi: 10.1631/FITEE.1601588

Abstract: Sparsity adaptive matching pursuit (SAMP) is a greedy reconstruction algorithm for compressive sensing

Keywords： Block compressive sensing     Sparsity adaptive matching pursuit     Greedy algorithm     Wilkinson matrix    

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Distribution system state estimation: an overview of recent developments Review Article

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 4-17 doi: 10.1631/FITEE.1800590

Abstract:

In the envisioned smart grid, high penetration of uncertain renewables, unpredictable participation of (industrial) customers, and purposeful manipulation of smart meter readings, all highlight the need for accurate, fast, and robust power system state estimation (PSSE). Nonetheless, most real-time data available in the current and upcoming transmission/distribution systems are nonlinear in power system states (i.e., nodal voltage phasors). Scalable approaches to dealing with PSSE tasks undergo a paradigm shift toward addressing the unique modeling and computational challenges associated with those nonlinear measurements. In this study, we provide a contemporary overview of PSSE and describe the current state of the art in the nonlinear weighted least-squares and least-absolutevalue PSSE. To benchmark the performance of unbiased estimators, the Cramér-Rao lower bound is developed. Accounting for cyber attacks, new corruption models are introduced, and robust PSSE approaches are outlined as well. Finally, distribution system state estimation is discussed along with its current challenges. Simulation tests corroborate the effectiveness of the developed algorithms as well as the practical merits of the theory.

Keywords： State estimation     Cramér-Rao bound     Feasible point pursuit     Semidefinite relaxation     Proximal linear algorithm    

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monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: method, which is based on modified structure analysis and globality and locality preserving (MSAGL) projectionBy using locality preserving projection to analyze the embedding geometrical manifold and extractingFurthermore, the tradeoff parameter of MSAGL is tuned adaptively in order to find the projection direction

Keywords： non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection    

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Coordinate system applied to magnetic suspension project between Shanghai and Hangzhou

SHI Yimin, WANG Lihua, LUO Yan

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 288-292 doi: 10.1007/s11709-008-0041-7

Abstract: precision of lengths and angles obtained from simple formulas are very high and there are not any map projection

Keywords： requirement     projection     calculation     Shanghai     precision    

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A survey of the pursuit–evasion problem in swarm intelligence Review

Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO,junzhi.yu@ia.ac.cn,yujunzhi@pku.edu.cn,caolu_space2015@163.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1093-1116 doi: 10.1631/FITEE.2200590

Abstract: We summarize predator pursuit behavior and prey behavior as predator–prey behavior.

Keywords： Swarm behavior     Pursuit–     evasion     Artificial systems     Biological model     Collective motion    

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Research and Development of Highly Immersive Multi-projection Virtual Environment Systems

Jia Qingxuan,Xong Jingzhou,Sun Hanxu,Gao Xin,Yao Fusheng

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 33-38

Abstract:

This paper presents a framework for a highly immersive multi-projection virtual environment systemlow cost projectors and low capability network equipment, a five-channel 220 degree view field multi-projection

Keywords： multi-projection     render synchronization     stereo display     geometric calibration     color calibration    

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A non-Lambertian photometric stereo under perspective projection Research Articles

Min Li, Chang-yu Diao, Duan-qing Xu, Wei Xing, Dong-ming Lu,liminlim@126.com,dcy@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900156

Abstract: Under the assumption, non-Lambertian is a highly non-linear problem. In this study, we present an optimized framework for reconstructing the surface normal and depth with non-Lambertian reflection models under . By decomposing the images into diffuse and specular components, we compute the surface normal and reflectance simultaneously. We also propose a variational formulation that is robust and useful for surface reconstruction. The experiments show that our method accurately reconstructs both the surface shape and reflectance of colorful objects with non-Lambertian surfaces.

Keywords： Photometric stereo     Three-dimensional reconstruction     Perspective projection     Image decomposition    

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Impact of household transitions on domestic energy consumption and its applicability to urban energy planning

Benachir MEDJDOUB, Moulay Larbi CHALAL

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 171-183 doi: 10.15302/J-FEM-2017029

Abstract: The household sector consumes roughly 30% of Earth’s energy resources and emits approximately 17% of its carbon dioxide. As such, developing appropriate policies to reduce the CO emissions, which are associated with the world’s rapidly growing urban population, is a high priority. This, in turn, will enable the creation of cities that respect the natural environment and the well-being of future generations. However, most of the existing expertise focuses on enhancing the thermal quality of buildings through building physics while few studies address the social and behavioral aspects. In fact, focusing on these aspects should be more prominent, as they cause between 4% and 30% of variation in domestic energy consumption. Premised on that, the aim of this study was to investigate the effect in the context of the UK of household transitions on household energy consumption patterns. To achieve this, we applied statistical procedures (e.g., logistic regression) to official panel survey data comprising more than 5500 households in the UK tracked annually over the course of 18 years. This helped in predicting future transition patterns for different household types for the next 10 to 15 years. Furthermore, it enabled us to study the relationship between the predicted patterns and the household energy usage for both gas and electricity. The findings indicate that the life cycle transitions of a household significantly influence its domestic energy usage. However, this effect is mostly positive in direction and weak in magnitude. Finally, we present our developed urban energy model “EvoEnergy” to demonstrate the importance of incorporating such a concept in energy forecasting for effective sustainable energy decision-making.

Keywords： urban energy planning     household transitions     smart cities     energy forecasting     household projection     serious    

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithm

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithm

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 94-98

Abstract: The particle swarm optimization algorithm combining with the idea of the genetic algorithm is recommendedEspecially the hybrid particle swarm optimization algorithm derived from across strategy A and mutationstrategy C is a simple yet effective algorithm and it has been applied successfully to investment problemIt can easily be modified for any combinatorial problem for which there has been no good specialized algorithm

Keywords： particle swarm algorithm     knapsack problem     genetic algorithm     mutation    

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Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithmDifferent weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improved algorithmThe control algorithm meets all requirements of the control system of the special-purpose three-axis

Keywords： grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

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Title Author Date Type Operation

Combinational Evaluation Method Based on Projection Pursuit Algorithm

Wang Shuo, Yang Shanlin, Hu Xiaoxuan

Journal Article

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Journal Article

Distribution system state estimation: an overview of recent developments

Gang WANG, Georgios B. GIANNAKIS, Jie CHEN, Jian SUN

Journal Article

monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Journal Article

Coordinate system applied to magnetic suspension project between Shanghai and Hangzhou

SHI Yimin, WANG Lihua, LUO Yan

Journal Article

A survey of the pursuit–evasion problem in swarm intelligence

Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO,junzhi.yu@ia.ac.cn,yujunzhi@pku.edu.cn,caolu_space2015@163.com

Journal Article

Research and Development of Highly Immersive Multi-projection Virtual Environment Systems

Jia Qingxuan,Xong Jingzhou,Sun Hanxu,Gao Xin,Yao Fusheng

Journal Article

A non-Lambertian photometric stereo under perspective projection

Min Li, Chang-yu Diao, Duan-qing Xu, Wei Xing, Dong-ming Lu,liminlim@126.com,dcy@zju.edu.cn

Journal Article

Impact of household transitions on domestic energy consumption and its applicability to urban energy planning

Benachir MEDJDOUB, Moulay Larbi CHALAL

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Journal Article

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Journal Article