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DNA sequence set design by improved genetic algorithm

Journal of Computational and Theoretical Nanoscience 2014年第3期11卷 739-743页

作者： Zhang, Qiang Zhao, Yuxia Wang, Bin Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

It has been proved that information encoding and processing in DNA is an important problem for biomolecular computing, including the encoding design problem. In recent years, there has been growing interest in the applications of DNA encoding theory in genetics and bioengineering, especially in the construction of synthetic DNA strands. In the paper, we use the improved genetic algorithm to design DNA sequences with combinational constraints including h-distance (H), hamming distance (HD) and GC-content. Furthermore, we improve the theoretical lower bounds of DNA encoding satisfying the above combinational constraints by using improved genetic algorithm, comparing our experimental results with the previous work. From the results, we can see that we succeed in obtaining more DNA sequences and give practical values satisfying h-distance, hamming distance (HD) and GC-content, and shorten the range of DNA encoding bounds. As far as we know, these results we obtain are the first time, and provide the direction for the future work such as the research of theoretical bounds of DNA encoding and algorithms Copyright © 2014 American Scientific Publishers.

关键词： Genetic algorithms

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DNA coding and chaos-based image encryption algorithm

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Journal of Computational and Theoretical Nanoscience 2013年第2期10卷 341-346页

作者： Zhang, Qiang Liu, Lili Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

In this paper, an image encryption algorithm based on combination of DNA coding with chaotic map is proposed. The proposed algorithm uses chaotic sequence generated by Logistic system to scramble the image pixels which is encoded through the DNA encoding;then makes use of DNA addition operation for the rows of DNA sequence matrix and implements image encryption at last. The algorithm is simple and can resist a variety of attacks. Copyright © 2013 American Scientific Publishers.

关键词： DNA

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EMOTIONAL SPEECH RECOGNITION BASED ON SVM WITH GMM SUPERVECTOR

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Journal of Electronics(China) 2012年第3期29卷 339-344页

作者： Chen Yanxiang Xie Jian (Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer Science&InformationHefei University of TechnologyHefei 230000China

Emotion recognition from speech is an important field of research in human computer interaction. In this letter the framework of Support Vector Machines (SVM) with Gaussian Mixture Model (GMM) supervector is introduced for emotional speech recognition. Because of the importance of variance in reflecting the distribution of speech, the normalized mean vectors potential to exploit the information from the variance are adopted to form the GMM supervector. Comparative experiments from five aspects are conducted to study their corresponding effect to system performance. The experiment results, which indicate that the influence of number of mixtures is strong as well as influence of duration is weak, provide basis for the train set selection of Universal Background Model (UBM).

关键词： Emotional speech recognition Support Vector Machines (SVM) Gaussian Mixture Model (GMM) supervector Universal Background Model (USB)

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A Novel Spatial-Temporal Convolutional Neural Network for Remote Photoplethysmography 12

A Novel Spatial-Temporal Convolutional Neural Network for Re...

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12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019

作者： Hu, Min Guo, Dong Wang, Xiaohua Ge, Peng Chu, Qian School of Computer and Information of Hefei University of Technology Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei China

ISBN: (纸本)9781728148526

Remote photoplethysmography (rPPG) using a simple consumer-level webcam has great potential for healthcare, human-computer interaction, affective computing, and many other fields. However, traditional methods based on the skin reflection model and signal processing achieved limited success. Thus, this paper presents a novel end-to-end spatial-temporal convolutional neural network for the rPPG recovering task: To preserve the details, the pooling layer is moved to the branch network, and the attention mechanism is used to enhance the backbone network performance. Moreover, the ConvLSTM was used to learn the relationship between frames. The manual features extraction and signal post-processing steps can be omitted through our end-to-end neural network. The experimental results conducted on PURE and COHFACE datasets show that the proposed method significantly improved the quality of the recovered rPPG signal. © 2019 IEEE.

关键词： Photoplethysmography

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design and realization of 3D NOC multicast router base on multicast rotational routing arithmetic 5

Design and realization of 3D NOC multicast router base on mu...

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5th International Conference on computing Communication and Networking Technologies, ICCCNT 2014

作者： Wang, Wei Li, Runfeng Fang, Fang Chen, Tian Ren, Fuji Liu, Jun Wu, Xi Hefei University of Technology Hefei230009 China Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine 230009 China

ISBN: (纸本)9781479926961

Traditional 3D NoC router may encounter the situations of congestion and hot spot. And it also doesn't have the function of multicast. In this paper, we present a new routing arithmetic called Multicast Rotational Routing Arithmetic (MRRA). It can handle several destination addresses at the same time, recombine packets, sent the same data to the different destination nodes, and avoid the congestion. The proposed algorithm is implemented by the new multicast 3D NoC router which is also proposed in this paper. The 3D NoC router is designed in Verilog HDL, simulated by Modelsim, synthesized and prototyped by Synplify and FPGA respectively. The experiment results show that the multicast router of MRRA can achieve a very good performance in terms of throughput and delay. The increased area utilization also can be tolerated. © 2014 IEEE.

关键词： Network-on-chip

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Improved Simulated Annealing Genetic Algorithm based Low power mapping for 3D NoC 2

Improved Simulated Annealing Genetic Algorithm based Low pow...

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2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)

作者： Hanna He Fang Fang Wei Wang Hefei University of Technology School of Computer Science and Information Engineering Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine

Mapping of IP(Intellectual Property) cores onto NoC(Network-on-Chip) architectures is a key step in NoCbased designs. Energy is the key parameter to measure the designs. Therefore, we propose an Improved Simulated Annealing Genetic Alogrithm, abbreviated as ISAGA. The algorithm combines the parallelism of Genetic Algorithm(GA) and the local search ability of Simulated Annealing(SA). We improve the initial population selection of GA to get the lower power consumption mapping scheme. The experimental results show that compared with the GA, ISAGA has good convergence and can search the optimal solution quickly, which can effectively reduce the power consumption of the system. In the case of 124 IP cores, the average power consumption of the ISAGA is reduced by 32.0% compared with the GA.

关键词： NTD Improved Simulated Annealing Genetic Algorithm based Low power mapping for 3D NoC

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Obstacle Avoidance Path Planning of Space Manipulator Based on Improved Artificial Potential Field Method

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Journal of The Institution of Engineers (India): Series C 2014年第1期95卷 31-39页

作者： S. Liu Q. Zhang D. Zhou Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian People’s Republic of China

This paper proposes an approach about obstacle collision-free motion planning of space manipulator by utilizing a Configuration-Oriented Artificial Potential Field method in 3-D space environment. Firstly, the artificial potential field method, which is usually used in 2-D space, is extended to 3-D space. Secondly, improving the artificial potential field method enables to carry out obstacle avoidance planning for the configuration of entire space manipulator (including the end-effector and links). Finally, the approach is combined with the inverse kinematics calculation which is based on the Generalized Jacobian Matrix for planning a collision-free motion of space manipulator. At the end of the article, by simulating the method mentioned above, the validity of the proposed method is verified.

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Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder

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Big Data Mining and Analytics 2024年第3期7卷 781-793页

作者： Ruimin Ma Ruitao Xie Yanlin Wang Jintao Meng Yanjie Wei Yunpeng Cai Wenhui Xi Yi Pan Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China Shenzhen Key Laboratory of Intelligent Bioinformatics and with Center for High Performance ComputingShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Autism Spectrum Disorder(ASD)is a highly disabling mental disease that brings significant impairments of social interaction ability to the patients,making early screening and intervention of ASD *** the development of the machine learning and neuroimaging technology,extensive research has been conducted on machine classification of ASD based on structural Magnetic Resonance Imaging(s-MRI).However,most studies involve with datasets where participants'age are above 5 and lack *** this paper,we propose a machine learning method for ASD classification in children with age range from 0.92 to 4.83 years,based on s-MRI features extracted using Contrastive Variational AutoEncoder(CVAE).78 s-MRIs,collected from Shenzhen Children's Hospital,are used for training CVAE,which consists of both ASD-specific feature channel and common-shared feature *** ASD participants represented by ASD-specific features can be easily discriminated from Typical Control(TC)participants represented by the common-shared *** case of degraded predictive accuracy when data size is extremely small,a transfer learning strategy is proposed here as a potential ***,we conduct neuroanatomical interpretation based on the correlation between s-MRI features extracted from CVAE and surface area of different cortical regions,which discloses potential biomarkers that could help target treatments of ASD in the future.

关键词： Autism Spectrum Disorder(ASD)classification Contrastive Variational AutoEncoder(CVAE) transfer learning neuroanatomical interpretation

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Microstructure evolution characteristic and deformation mechanism in 5052 aluminum alloys under continuous complex loadings

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Materials Characterization 2025年 225卷

作者： Chen, Shanshan Cai, Da Jiang, Hao Li, Guangyao Cui, Junjia State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha 410082 China Shenzhen Huashun Intelligent Equipment Co. Ltd. Shenzhen 518119 China Shenzhen Automotive Research Institute Beijing Institute of Technology Shenzhen 518119 China

Continuous and complex loading can alter the microscopic evolution characteristics of materials to affect their mechanical changes and formability. This study aims to analyze the mechanical behavior and microstructure characteristics of material AA5052 under continuous strain path changes. The DIC (Digital Image Correlation) and EBSD (Electron Backscatter Diffraction) were used to study the evolution laws of mechanical and microscopic structures under different non-proportional loadings. The mechanical characteristics of the two materials under continuous and complex loading were analyzed and compared. The fracture morphology was analyzed using SEM to explain the forming limit differences. The experimental results indicated that the grain boundaries at small angles of the material increased under continuous complex loading conditions, leading to stress concentration. At the same time, there was a significant trend of cube texture evolution and enhancement. Under equi-biaxial loading, material AA5052-O exhibited texture 〈001〉//RD, while material AA5052-H24 exhibited dual fiber texture characteristics. Both materials showed enhanced texture intensity of the Cube after undergoing continuous strain path changes. The fracture mode of AA5052-O material is a typical ductile fracture, which is caused by the continuous growth of ductile dimples and the influence of second-phase particles during plastic strain. The AA5052-H24 exhibits cleavage fracture in a layered manner resulting in a more unstable fracture mechanism. © 2025 Elsevier Inc.

关键词： Continuous loading Fracture mechanism Microstructure characteristic Non-proportional loading Texture evolution

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A multi-agent coordinated planning approach for deadline required emergency response tasks

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IET Control Theory and Applications 2015年第3期9卷 447-455页

作者： Zhou, Chao Wang, Hongwei Zhuo, Hankz Hankui Key Laboratory of Image Processing and Intelligent Control of Education Ministry Institute of Systems Engineering Huazhong University of Science and Technology Wuhan430074 China School of Advanced Computing SunYat-sen University Guangzhou510006 China

This study investigates the emergency decision-making problem in a multi-agent system. Departments are modeled as agents to perform coordinated planning to obtain a global action plan with a short execution time constrained by a prescribed deadline. A novel multi-agent planning approach is proposed to coordinate for the solution among agents in the system. The approach consists of two stages. For the first stage, a coordinated planning and scheduling method is designed to generate a candidate global action plan. In this plan, durative actions are assigned to proper time intervals with the consideration of temporal relationships among agents. For the second stage, a coordination mechanism based on local heuristics is proposed to reduce the global time cost of the candidate plan to satisfy the deadline. An experimental study of emergency evacuation problem is conducted to demonstrate the effectiveness and efficiency of the proposed approach. © 2015 The Institution of Engineering and Technology.

关键词： Multi agent systems

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