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The soft sensor of the molten steel temperature using the modified maximum entropy based pruned bootstrap feature subsets ensemble method

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Chemical Engineering Science 2018年 189卷 401-412页

作者： Xiao-Jun Wang Xiao-Yan Wang Qiang Zhang Zhi-Zhong Mao Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian 116622 China School of Business Administration Dongbei University of Finance and Economics Dalian 116025 China Institute of Automatization College of Information Science and Engineering Northeastern University Shenyang 110004 China

The molten steel temperature in ladle furnace is a significant variable, but it is hard to be measured by real-time detection, which has some bad effects on productions. Soft sensors are alternative and effective techniques to solve this issue. In this paper, the soft sensor of the molten steel temperature established by the Modified Maximum Entropy based Pruned Bootstrap Feature Subsets Ensemble (MMEP-BFSE) method is proposed. Although the Bootstrap Feature Subsets Ensemble (BFSE) temperature model is prominent in the precision and the forecasting speed on the large-scale and noisy data, its main drawback is too many sub-models required to combine, which is not always feasible for applications. To alleviate this drawback, the Modified Maximum Entropy based Pruning (MMEP) approach is presented, in which a subset of sub-models that better approximates the complete ensemble is find based on the maximum Rényi entropy and the trade-off parameter between the precision and the diversity of sub-models. Then, the soft sensor of the temperature based on the MMEP-BFSE is established on the practical data. Experiments show that the proposed soft sensor outperforms the others in the precision, and meets the precision requirements. Sub-models of the BFSE temperature model are substantially pruned with improved generalization by the MMEP approach.

关键词： Chemical process Quality variables Soft sensor Data-driven model Machine learning Ensemble pruning

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Pedestrian Detection Using Regional Proposal Network with Feature Fusion

Pedestrian Detection Using Regional Proposal Network with Fe...

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Workshops on Image Processing Theory, Tools and Applications, IPTA

作者： Xiaogang Lv Xiaotao Zhang Yinghua Jiang Jianxin Zhang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian P. R. China Information and Engineering College Dalian University Dalian P. R. China

ISBN: (纸本)9781538664292;9781538664285

Pedestrian detection, which has broad application prospects in video security, robotics and self-driving vehicles etc., is one of the most important research fields in computer vision. Recently, deep learning methods, e.g., Region Proposal Network (RPN), have achieved major performance improvements in pedestrian detection. In order to further utilize the deep pedestrian features of RPN, this paper proposes a novel regional proposal network model based on feature fusion (RPN_FeaFus) for pedestrian detection. RPN_FeaFus adopts an asymmetric dual-path deep model, constructed by VGGNet and ZFNet, to extract pedestrian features in different levels, which are further combined through PCA dimension reduction and feature stacking to provide more discriminant representation. Then, the low-dimensional fusion features are adopted to detect the region proposals and train the classifier. Experimental results on three widely used pedestrian detection databases, i.e, Caltech database, Daimler database and TUD database, illuminate that RPN_FeaFus gains obvious performance improvements over its baseline RPN_BF, which is also competitive with the state-of-the-art methods.

关键词： Feature extraction Databases Proposals Task analysis Training Principal component analysis Detectors

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design and Implementation of Ideological and Political Education Evaluation System

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Journal of Physics: Conference Series 2019年第4期1176卷

作者： Zhenyuan Lv Changjun Zhou Chunye Zhou Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian 116622 China School of Politics and Law Shangrao Normal University ShangraoChina 334001 China

With the development of informatization, in order to improve office efficiency and manage students more effectively, universities have produced many management systems, such as library management systems and educational management systems. These systems mostly manage student information and other information in an integrated manner. The refinement of each module, due to the large number of colleges and universities, graduates and enrolls a large number of students every year, and the archiving of students' ideological and political courses and students' ideological and political evaluation is quite complicated. Some college management systems may only provide ideological and political courses. Course information and student test scores did not specifically manage the student's ideological and political education assessment and assess the student's psychological activities based on the student's daily performance, nor did they provide detailed course scheduling information for specific ideological and political related courses. Therefore, colleges and universities should also implement detailed information management for students' ideological and political education methods, which can improve management efficiency and reduce unnecessary human resources. The management system is developed by the Java[1-3]development language through Myeclipise as a development tool. The mysql database is used as the background to realize the information management of the ideological and political education of college students. It can promote the detailed management of all aspects of students' information management. Service school as well as students. And the machine learning algorithm is added. Through the previous students' data, the classification model is trained by Logistic regression algorithm to evaluate the students' ideological and political good condition.

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LSTM based classification model and its application for doctor-patient relationship evaluation 19

LSTM based classification model and its application for doct...

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19th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2017

作者： Kuang, Hongrui Che, Chao Zhang, Qiang Wei, Xiaopeng Key Lab of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9781509067046

The emergence of medical social media has made it possible for more and more patients to share their views and experiences on the medical care platform. These subjective texts contains patients' evaluation information for doctors and can be analyzed to provide rich decision-making information for patients and hospitals. Therefore, we propose a LSTM (Long Short Term Memory) based text sentiment classification method to evaluate the relationship between doctors and patients through the comment data from medical social media. The classification model of doctor-patient relationship can also be performed to evaluate the hospital by calculating the praise rate to help people choose hospitals. We perform two experiments on the patients' evaluation data from the website of Haodaifu. The experiment of doctor-patient relationship classification confirms the effectiveness of the classification model. In the experiment of hospital evaluation, we calculate the praise rate of 11 hospitals in Jinan of Shandong province based on the doctor-patient relationship classification results. The consistency between the results obtained by our method and the data of Mingyihui shows that our evaluation method for hospitals is reasonable and effective. © 2017 IEEE.

关键词： Hospitals

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Logic operation model of the complementer based on two-domain DNA strand displacement 1

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12th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2017

作者： Xie, Wendan Zhou, Changjun Lv, Hui Zhang, Qiang Key Laboratory of Advanced Design Intelligent Computing Ministry of Education Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (数字)9789811071799

ISBN: (纸本)9789811071782

DNA strand replacement technology has the advantages of simple operation which makes it becomes a common method of DNA computing. A four bit binary number Complementer based on two-domain DNA strand displacement is proposed in this paper. It implements the function of converting binary code into complement code. Simulation experiment based on Visual DSD software is carried out. The simulation results show the correctness and feasibility of the logic model of the Complementer, and it makes useful exploration for further expanding the application of molecular logic circuit. © Springer Nature Singapore Pte Ltd 2017.

关键词： Timing circuits

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Palmprint recognition based on CNN and local coding features 6

Palmprint recognition based on CNN and local coding features

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6th International Conference on Computer Science and Network Technology, ICCSNT 2017

作者： Yang, Aoqi Zhang, Jianxin Sun, Qiule Zhang, Qiang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China Faculty of Electronic Information and Electric Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781538604922

The convolutional neural network(CNN) has received an excellent performance in the recent tasks of image retrieval and image classification. Besides, some local coding methods have been focused on because of their outstanding local description. In this paper, we present a novel method for palmprint recognition, which combines CNN and local coding techniques. We conduct feature extraction on palmprint images using the pre-trained networks and obtain the local convolutional features. Then three different local coding methods are adopted to code the features from CNN, including Bag of Visual Word(BoVW), Locality-constrained Linear Coding(LLC) and Vector of Locally Aggregated Descriptors (VLAD). The features extracted from CNN have better representation. Meanwhile, the local coding makes local features more important. Hence the combination of them can get the anticipated better results. The proposed method is extensively evaluated on the PolyU palmprint database and PolyU multispectral palmprint database, illuminating the remarkable performance on palmprint recognition. © 2017 IEEE.

关键词： Palmprint recognition

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The association for the advancement of artificial intelligence 2020 workshop program

The association for the advancement of artificial intelligen...

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作者： Bang, Grace Barash, Guy Bea, Ryan Cali, Jacques Castillo-Effen, Mauricio Chen, Xin Cynthia Chhaya, Niyati Dhoopar, Rohan Dumancic, Sebastijan Espinoza, Huáscar Farchi, Eitan Fioretto, Ferdinando Fuentetaja, Raquel Galley, Michel Geib, Christopher Hernández-Orallo, José Huang, Xiaowei Keren, Sarah Kim, Seokhwan Jaidka, Kokil Liu, Xiaomo Lu, Tyler Ma, Zhiqiang Mallah, Richard McDermid, John Michalowski, Martin Mirsky, Reuth Héigeartaigh, Seán Ó. Ramachandran, Deepak Segovia-Aguas, Javier Shaban-Nejad, Arash Shehory, Onn Shwartz, Vered Srivastava, Siddharth Talamadupula, Kartik Tang, Jian Zhang, Dell Zhang, Jian S&P Global. Western Digital University of Southampton United Kingdom Blue Prism Group PLC Lockheed Martin's Advanced Technology Laboratories ArlingtonVA United States University of Hong Kong Hong Kong Adobe Research Google Research Katholieke Universiteit Leuven Belgium Commissariat à ĺÉnergie Atomique France IBM Research Department of Electrical Engineering and Computer Science Syracuse University United States Universidad Carlos III de Madrid Spain Microsoft Research AI SIFT LLC Universitat Politècnica de València Spain Leverhulme Centre for the Future of Intelligence United Kingdom Department of Computer Science University of Liverpool United Kingdom National University of Singapore Singapore Harvard School of Engineering and Applied Sciences in the of Fields of Multiagent Environment Design and Goal Recognition Design Amazon Alexa AI Future of Life Institute United States University of York Assuring Autonomy International Program United Kingdom University of Minnesota School of Nursing MinneapolisMN United States University of Texas at Austin AustinTX United States Institut de Robòtica i Informàtica Industrial Spanish Council for Scientific Research Technical University of Catalonia Spain Oak Ridge National Laboratory Center for Biomedical Informatics Department of Pediatrics University of Tennessee Health Science Center United States Bar Ilan University Israel University of Washington SeattleWA United States Autonomous Agents and Intelligent Robots lab of the School of Computing Informatics Decision Systems Arizona State University United States DiDi AI Labs School of Industrial and System Engineering Georgia Institute of Technology United States University of London United Kingdom Microsoft Azure

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program included twenty-three workshops covering a wide range of topics in artificial intelligence. This report contains the required reports, which were submitted by most, but not all, of the workshop chairs. Copyright © 2020, Association for the Advancement of Artificial Intelligence. All rights reserved.

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Sliding mode control for Hes1-dimer biochemical reaction system

Sliding mode control for Hes1-dimer biochemical reaction sys...

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International Conference on Systems and Informatics (ICSAI)

作者： Taobei Su Hui Lv Changjun Zhou Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Dalian China

This paper presents the sliding mode control (SMC) of the Hes1-dimer biochemical reaction system, which regulates the concentration of reactants and products at a desired value. A sliding surface function and a controller with variable structure are proposed. By introducing some specified matrices, a linear matrix inequality (LMI) condition for the stability of the Hes1-dimer biochemical reaction system is derived, that is, the stability of the sliding mode dynamics is guaranteed. Moreover, a SMC law is designed, and forced the trajectories of the Hes1-dimer biochemical reaction system onto the designed sliding surface and remain slid thereon. The devised control strategy can ensure the rapid convergence of state response and the insensitivity to external disturbances. Finally, a simulation is given to demonstrate the validity of the proposed scheme.

关键词： Stability analysis Biological system modeling Mathematical model Proteins Sliding mode control Linear matrix inequalities Trajectory

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An Image Encryption Algorithm Based on Chaos System and DNA Strand Displacement Model

An Image Encryption Algorithm Based on Chaos System and DNA ...

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2017 2nd International Conference on Artificial Intelligence: Techniques and Applications (AITA 2017)

作者： Ze-jun ZHANG Bo-xiang XIAO Xue-dong ZHENG Chang-jun ZHOU Key Laboratory of Advanced Design and Intelligent Computing(Dalian University) Ministry of Education

In this paper,we proposed a novel algorithm for image *** the scheme,three chaotic sequences are generated by Lorenz chaos *** chaotic sequences are used to permutation and diffusion the digital ***,the algorithm introduce the DNA strand displacement reaction model to extract the secret key and then encrypt the image with a combination of XOR *** simulation results and security analysis show that our algorithm can successfully encrypts and decrypts the input image and gets a better encryption ***,the method also has a good ability of resisting attacks.

关键词： Image encryption Chaos system DNA strand displacement XOR operation

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Allosteric DNAzyme-based DNA logic circuit: operations and dynamic analysis

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Nucleic acids research 2019年第3期47卷 1097-1109页

作者： Xuedong Zheng Jing Yang Changjun Zhou Cheng Zhang Qiang Zhang Xiaopeng Wei College of Computer Science Shenyang Aerospace University Shenyang 110136 China. School of Control and Computer Engineering North China Electric Power University Beijing 102206 China. College of Mathematics and Computer sciences Zhejiang Normal University Jinhua 321004 China. School of Electronics Engineering and Computer Science Peking University Key laboratory of High Confidence Software Technologies Ministry of Education Beijing 100871 China. Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China. School of Computer Scicence and Technology Dalian University of Technology Dalian 116024 China.

Recently, due to the dual roles of DNA and enzyme, DNAzyme has been widely used in the field of DNA circuit, which has a wide range of applications in bio-engineered system, information processing and biocomputing. In fact, the activity of DNAzymes was regulated by subunits assembly, pH control and metal ions triggers. However, those regulations required to change the sequences of whole DNAzyme, as separating parts and inserting extra DNA sequence. Inspired by the allosteric regulation of proteins in nature, a new allosteric strategy is proposed to regulate the activity of DNAzyme without DNA sequences changes. In this strategy, DNA strand displacement was used to regulate the DNAzyme structure, through which the activity of DNAzyme was well controlled. The strategy was applied to E6-type DNAzymes, and the operations of DNA logic circuit (YES, OR, AND, cascading and feedback) were established and simulated with the dynamic analyses. The allosteric regulation has potential to construct more complicated molecular systems, which can be applied to bio-sensing and detection.

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