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Multi-objective Optimization Conceptual design of Product Structure Based on Variable Length Gene Expression

Chinese Journal of Mechanical Engineering 2011年第1期24卷 42-49页

作者： WEI Xiaopeng ZHAO Tingting JU Zhenhe ZHANG Shi LI Xiaoxiao School of Management Dalian University of Technology Dalian 116023 China Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education Dalian University Dalian 116622 China New Energy Center Shenyang Institute of Engineering Shenyang 110136 China Liaoning Solar Energy R＆D Co. Ltd. Shenyang 110136 China Institute of Systems Engineering Northeastern University Shenyang 110004 China

It is a complicated problem for the bottom-to-top adaptive conceptual design of complicated products between structure and function. Reliable theories demand to be found in order to determine whether the structure accords with the requirement of design. For the requirement generally is dynamic variety as time passes, new requirements will come, and some initial requirements can no longer be used. The number of product requirements, the gene length expressing requirements, the structure of the product, and the correlation matrix are varied with individuation of customer requirements of the product. By researching on the calculation mechanisms of dynamic variety, the approaches of gene expression and variable length gene expression are proposed. According to the diversity of structure selection in conceptual design and mutual relations between structure and function as well as structure and structure, the correlation matrixes between structure and function as well as structure and structure are defined. By the approach of making the sum of the elements of correlation matrix maximum, the mathematical models of multi-object optimization for structure design are provided based on variable requirements. An improved genetic algorithm called segment genetic algorithm is proposed based on optimization preservation simple genetic algorithm. The models of multi-object optimization are calculated by the segment genetic algorithm and hybrid genetic algorithm. An example for the conceptual design of a washing machine is given to show that the proposed method is able to realize the optimization structure design fitting for variable requirements. In addition, the proposed approach can provide good Pareto optimization solutions, and the individuation customer requirements for structures of products are able to be resolved effectively.

关键词： gene expression multi-object optimization conceptual design genetic algorithm

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Solving probability reasoning based on DNA strand displacement and probability modules

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Computational biology and chemistry 2017年 71卷 274-279页

作者： Qiang Zhang Xiaobiao Wang Xiaojun Wang Changjun Zhou Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian 116622 China School of Computer Science and Technology Dalian University of Technology Dalian 116024 China. Electronic address: zhangq@***. Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian 116622 China.

In computation biology, DNA strand displacement technology is used to simulate the computation process and has shown strong computing ability. Most researchers use it to solve logic problems, but it is only rarely used in probabilistic reasoning. To process probabilistic reasoning, a conditional probability derivation model and total probability model based on DNA strand displacement were established in this paper. The models were assessed through the game "read your mind." It has been shown to enable the application of probabilistic reasoning in genetic diagnosis.

关键词： Conditional probability DNA strand displacement Probability reasoning Total probability

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Term Translation Extraction from Historical Classics Using Modern Chinese Explanation

Term Translation Extraction from Historical Classics Using M...

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第十七届全国计算语言学学术会议暨第六届基于自然标注大数据的自然语言处理国际学术研讨会(CCL 2018)

作者： Xiaoting Wu Hanyu Zhao Chao Che Dalian University Key Laboratory of Advanced Design and Intelligent ComputingMinistry of EducationDalian116622China

ISBN: (纸本)9783030017156

Extracting term translation pairs is of great help for Chinese histori-cal classics translation since term translation is the most time-consuming and challenging part in the translation of historical ***,it is tough to recognize the terms directly from ancient Chinese due to the flexible syntactic of ancient Chinese and the word segmentation errors of ancient Chinese will lead to more errors in term translation *** most of the terms in ancient Chinese are still reserved in modern Chinese and the terms in modern Chinese are more easily to be identified,we propose a term translation extract-ing method using multi-features based on character-based model to extract his-torical term translation pairs from modern Chinese-English corpora instead of ancient Chinese-English ***,we first employ character-based BiLSTM-CRF model to identify historical terms in modern Chinese without word segmentation,which avoids word segmentation error spreading to the term *** we extract English terms according to initial capitaliza-tion *** last,we align the English and Chinese terms based on co-occurrence frequency and transliteration *** experiment on Shiji demonstrates that the performance of the proposed method is far superior to the traditional method,which confirms the effectiveness of using modern Chinese as a substitute.

关键词： BiLSTM-CRF Co-occurrence frequency Transliteration features Term translation extraction

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Digital image watermarking robust to geometric attacks based on wavelet domain

Digital image watermarking robust to geometric attacks based...

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International Conference on Bio-Inspired computing: Theories and Applications, BICTA

作者： Na Ma Qiang Zhang Ying Li Key Laboratory of Advanced Design and Intelligent Computing Ministry Education Province Dalian University Dalian China

This paper presents a new wavelet domain watermarking method, the carrier image using wavelet decomposition. After the Walsh transform low frequency wavelet coefficients, calculated by block adaptive embedding strength, modify the wavelet coefficients of each block, and then do singular value decomposition (SVD), repeat on embedded watermark in the singular value. Fractional part of the anti-transformed image is saved, correction of the watermarked image can be accurately extracted watermark. The experimental results demonstrate that the proposed algorithm can effectively resist cutting, scaling, translation and other geometric attacks, attacks in general are also robust.

关键词： Discrete wavelet transforms Robustness Chaos Transform coding

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An image encryption algorithm based on DNA sequence addition operation

An image encryption algorithm based on DNA sequence addition...

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International Conference on Bio-Inspired computing: Theories and Applications, BICTA

作者： Qiang Zhang Ling Guo Xianglian Xue Xiaopeng Wei Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dahan University of Technology Dahan China

A new image encryption algorithm based on DNA sequence addition operation is presented. First, a DNA sequence matrix is obtained by encoding the original image. Second, divide the DNA sequence matrix into some equal blocks and use DNA sequence addition operation to add these blocks. Thirdly, carry out DNA sequence complement operation for the result of added matrix by using two Logistic maps. At last, decoding the DNA sequence matrix from the third step, we will get the encrypted image. The simulation experimental results and security analysis show that our algorithm not only can get good encryption effect, but also can resist exhaustive attack, statistical attack and differential attack.

关键词： Cryptography DNA Sequences Image coding Logistics Decoding Analytical models Security Algorithm design and analysis Resists

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Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding

Aspect-Level Sentiment Classification of Chinese Patient Com...

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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Shan, Yongxue Zhong, Zhaoqian Che, Chao Jin, Bo Wei, Xiaopeng Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian China Dalian University of Technology School of Innovation and Entrepreneurship Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (纸本)9781665401265

With the development of information technology, online health care service platforms have collected a large amount of patient comment information. Through fine-grained sentiment classification of this information, we can provide references for patients to seek medical treatment and help doctors understand their work. Therefore, we proposed a model that integrated pre-trained emotional information and semantic information at the word and character level for aspect-level sentiment classification. Specifically, we employed adversarial learning for training sentiment word embeddings and the two-layer bidirectional long short-term memory network to extract the sentiment embedding of the entire sentence in a specific aspect. We also combined the pre-trained sentiment feature vector with the structured semantic information by linear weighting and the multi-head self-attention mechanism, enabling the model to pay more attention to the information most relevant to a given aspect category. We performed experiments on the Chinese patient comments data set constructed by our research team and the proposed model outperformed the state-of-the-art methods, which proved the effectiveness of the proposed model for aspect-level sentiment classification of Chinese patient comments. © 2021 IEEE.

关键词： Embeddings

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Facial animation based on feature points

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第3期11卷 1697-1706页

作者： Li, Beibei Zhang, Qiang Zhou, Dongsheng Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Liaoning Dalian China

This paper presents a hybrid method for synthesizing natural animation of facial expression with data from motion capture. The captured expression was transferred from the space of source performance to that of a 3D target face using an accurate mapping process in order to realize the reuse of motion data. The transferred animation was then applied to synthesize the expression of the target model through a framework of two-stage deformation. A local deformation technique preliminarily considered a set of neighbor feature points for every vertex and their impact on the vertex. Furthermore, the global deformation was exploited to ensure the smoothness of the whole facial mesh. The experimental results show our hybrid mesh deformation strategy was effective, which could animate different target face without complicated manual efforts required by most of facial animation approaches. © 2013 Universitas Ahmad Dahlan.

关键词： Animation

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Constructing DNA Barcode Sets Based on Particle Swarm Optimization

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IEEE/ACM transactions on computational biology and bioinformatics 2018年第3期15卷 999-1002页

作者： Bin Wang Xuedong Zheng Shihua Zhou Changjun Zhou Xiaopeng Wei Qiang Zhang Ziqi Wei the Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China Department of Computing Science University of Alberta Edmonton AB Canada

Following the completion of the human genome project, a large amount of high-throughput bio-data was generated. To analyze these data, massively parallel sequencing, namely next-generation sequencing, was rapidly developed. DNA barcodes are used to identify the ownership between sequences and samples when they are attached at the beginning or end of sequencing reads. Constructing DNA barcode sets provides the candidate DNA barcodes for this application. To increase the accuracy of DNA barcode sets, a particle swarm optimization (PSO) algorithm has been modified and used to construct the DNA barcode sets in this paper. Compared with the extant results, some lower bounds of DNA barcode sets are improved. The results show that the proposed algorithm is effective in constructing DNA barcode sets.

关键词： Bioinformatics DNA Particle Swarm Optimisation Particle Swarm Optimization Next Generation Sequencing DNA Barcode Sets DNA Sequential Analysis Algorithm design And Analysis Next Generation Networking Particle Swarm Optimization Hamming Distance Filtering Algorithms DNA Barcodes Edit Distance Particle Swarm Optimization PSO Lower Bound

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Key technologies for adaptive change design of armored vehicle in response to complex environment

Key technologies for adaptive change design of armored vehic...

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2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Miao, Wei Dong Li, Fei Zeng, Wei Zheng, Xiao Jun China North Vehicle Research Institute Beijing 100072 China School of Mechanical Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

ISBN: (纸本)9783038350996

Quickly recovering and securing the advanced vehicle performance by changing structures, upgrading equipment become a key point to win the modern war. The armored vehicle is a complicated coupling system and the structure components are closely connected. Thus the change design is a complicated coupling system design problem. We provide the-state-of-art of the change design in response to environmental changes, and discuss the key technologies of armored vehicle adaptive change design responding to complex environment (AVACDCE). We also discuss design strategies and principles, change design decision and environmental adaptability evaluation, structural conflict elimination, performance optimization and layout optimization design in the limited space, and interface and assembly. In additional, we provide the design flow of the AVACDCE. Our studies can provide support for the armored vehicle adaptive change design responding to the complicated environment. © (2014) Trans Tech Publications, Switzerland.

关键词： Military vehicles

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An ant colony algorithm with memory grouping list for multi-depot vehicle routing problem

An ant colony algorithm with memory grouping list for multi-...

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2014 International Conference on Materials Science and Computational Engineering, ICMSCE 2014

作者： Zeng, Wei He, Yong Le Zheng, Xiao Jun China North Vehicle Research Institute Beijing 100072 China School of Mechanical Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

ISBN: (纸本)9783038350996

Multi-depot vehicle routing problem (MDVRP for short) is complex and a typical NP-Hard problem in manufactories, especially in assembly plant. We herein present an ant colony algorithm with memory grouping list (ACMGL for short) to solve this problem. To handle affiliation between clients and depots, we present certain point grouping (CP Grouping) and uncertain point grouping (UP Grouping) and obtain variable grouping purposes, make a grouping memory list for each depot store the optimal value and path of uncertain grouping after UP grouping, and thus improve the efficiency of the operation. Experimental results verified our algorithm in the computational efficiency. © (2014) Trans Tech Publications, Switzerland.

关键词： Computational efficiency

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