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5th IEEE International Conference on Cognitive Informatics, ICCI 2006

作者： Sun, Chengmin Liu, Dayou Fu, Chunxiao Shuyang, Sun College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

In Containing Order Rough Set Methodology (CORS), ordered attribute 'criterion' is introduced. Criterion is related semantically with decision attributes, which results in producing more rational and significant rules utilizing dominance relations. In this paper, some terminologies and properties on rules or rules set, such as robust, minimal, complete are discussed, the state of art in algorithms on rules generation are analyzed, and algorithms GRs and IGRs are proposed. We compare these two algorithms by experiments in time complexity, rules count and accuracy. We find that GRs can generate all minimal rules, but time complexity is high and IGRs' efficiency is better, but quality of rules are inferior to that of GRs. We also discuss the completeness of rules set and present a viewpoint that there are three hierarchies for completeness. In accuracy calculation, three formulas for accuracy calculation and two approaches for experimental test are given. © 2006 IEEE.

关键词： Rough set theory

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Underwater Target Detection Based on Reinforcement Learning and Ant Colony Optimization

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Journal of Ocean University of China 2022年第2期21卷 323-330页

作者： WANG Xinhua ZHU Yungang LI Dayu ZHANG Guang School of Computer Science Northeast Electric Power UniversityJilin 132012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and TechnologyJilin UniversityChangchun 130012China State Key Laboratory of Applied Optics Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China

Underwater optical imaging produces images with high resolution and abundant information and hence has outstanding advantages in short-distance underwater target ***,low-light and high-noise scenarios pose great challenges in un-derwater image and video *** improve the accuracy and anti-noise performance of underwater target image edge detection,an underwater target edge detection method based on ant colony optimization and reinforcement learning is proposed in this ***,the reinforcement learning concept is integrated into artificial ants’movements,and a variable radius sensing strategy is pro-posed to calculate the transition probability of each *** methods aim to avoid undetection and misdetection of some pixels in image ***,a double-population ant colony strategy is proposed,where the search process takes into account global search and local search *** results show that the algorithm can effectively extract the contour information of underwater targets and keep the image texture well and also has ideal anti-interference performance.

关键词： ant colony optimization reinforcement learning underwater target edge detection

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Research on Opinion Spam Detection by Time Series Anomaly Detection 5th

Research on Opinion Spam Detection by Time Series Anomaly De...

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Wang, Ye Zuo, Wanli Wang, Ying College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun130012 China

ISBN: (纸本)9783030242732

With the continuous development of e-commerce, buying online product has become a more desirable shopping option for modern people, but the product reviews which people need to consult when they buy goods are easily become the root cause of misleading consumption. Black profit chains of online sales make a lot of spam opinion makers flood the network who guide consumer’s choice by writing deceptive and misleading spam opinions. In order to eliminate the impact of this black interest chain and safeguard the interests of the mass consumers, we propose a new model by using the time series anomaly detection, reducing the time complexity of spam opinion detection found by time series analysis, while improve the performance of spam detection. Based on time series anomaly detection, we analyze the content of reviews and the characteristics of reviewers and take experiments on real dataset that demonstrate advantages and effectiveness of the proposed approach. © 2019, Springer Nature Switzerland AG.

关键词： Anomaly detection

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A layered graph representation for complex regions

A layered graph representation for complex regions

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12th International Conference on Principles of knowledge Representation and Reasoning, KR 2010

作者： Li, Sanjiang Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Broadway Sydney NSW 2007 Australia Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)9781577354512

This paper proposes a layered graph model for representing the internal structure of complex plane regions, where each node represents the closure of a connected component of the interior or exterior of a complex region. The model provides a complete representation in the sense that the (global) nineintersections between the interiors, the boundaries, and the exteriors of two complex regions can be determined by the (local) RCC8 relations between associated simple regions. Copyright © 2010, Association for the Advancement of Artificial Intelligence.

关键词： Graph theory

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Object localization based on global structure constraint model and optimal algorithm

Object localization based on global structure constraint mod...

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3rd International Conference on Innovative Computing Information and Control, ICICIC'08

作者： Liu, Miao Guo, Dongwei Ma, Jie Liu, Xiaohua Li, Dan Zhou, Chunguang College of Computer Science and Technology Jilin University 130012 Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education 130012 Changchun China

ISBN: (纸本)9780769531618

We present a novel object localization approach based on the Global Structure Constraint model (GSC) and Optimal Algorithm. In GSC, Objects are described as constellations of points satisfied with their specific global structure constraints. The spatial relations among all the patches having stable color information and their representative color information around patches are encoded. Then, the searching algorithm, i.e. genetic algorithm, is used to locate target objects in images by finding out the exactly matched position. In the experiment, we tested the approach on a collection of human face images and the results demonstrated the approach is simple, effective and efficient. © 2008 IEEE.

关键词： Genetic algorithms

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Rule-based modeling and simulation of gene expression process 10

Rule-based modeling and simulation of gene expression proces...

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2020 10th International Workshop on Computer Science and engineering, WCSE 2020

作者： Zhao, Tianqi Luo, Cuntong Yang, Yi Feng, Liwei Lu, Xinhua College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China

ISBN: (纸本)9789811447877

A process of gene expression which is designed and modeled by machine language, and by using to process complex data. At the molecular biological level, classifying and sorting the related substances involved in the transcription and translation processes, and using a rule-based modeling method to simulate the gene expression process. By entering the initial data of the designed gene into the program, the computer can give the result of the gene expression process. The experimental data shows that this gene expression result is correct. In this paper, we summarize the rules of the transcription and translation of the gene expression process and the basic part of the central dogma, and then formalize it, and then establish a model to realize the biological information processing in uncomplicated situations, and then realize the gene expression process on the computer. © WCSE 2020.

关键词： Transcription

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An adaptive and fast valley emphasis multilevel otsu thresholding algorithm

An adaptive and fast valley emphasis multilevel otsu thresho...

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2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013

作者： Long, Jianwu Shen, Xuanjing Chen, Haipeng Zhang, He College of Computer Science and Technology Jilin University Changchun Jilin China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun Jilin China

ISBN: (纸本)1601322534

The multilevel thresholding problem is a challenge task due to the fact that the computation is usually very time-consuming for obtaining the optimal multilevel thresholds. Though the state-of-the-art multilevel thresholding algorithms applied various meta-heuristic techniques or acceleration strategies, they still directly searched the optimal thresholds in the whole histogram only for the fixed thresholds number given by the user. Considering that the optimal thresholds usually locate at the valleys of the histogram, we propose an adaptive and fast valley emphasis multilevel Otsu thresholding algorithm (AFVEO). We constrain the searching space in locations of all valleys of the histogram, and it can greatly reduce the iterations required for computing the between-class variance due to the fact that the number of valleys is much fewer than the size of the histogram. And most important we can obtain the optimal multilevel thresholds for different thresholds number without fixed one given by the user. The experimental results indicate that the proposed method is more efficient than traditional Otsu method, recursive Otsu method, valley emphasis Otsu method and neighborhood valley emphasis Otsu method. © 2013 CSREA Press. All rights reserved.

关键词： Image segmentation

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A new model for topological relations between convex regions

A new model for topological relations between convex regions

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2011 8th International Conference on Fuzzy Systems and knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural computation, ICNC'11

作者： Ouyang, Jihong Ma, Ke Ma, Ling College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)9781612841816

Topological relations between spatial objects have played important roles in spatial representing and reasoning. Various models for expressing topological relations have been put forward. The Region Connection Calculus (RCC) and 9-Intersection Method (9IM) are most well-known topological formalisms, but neither of them can characterize the characteristic of topological relations between convex regions. In this paper, we introduce a new model for representing topological relations between two convex plane regions, which characterized with the topological properties of details of region A and B. Applying our model to triangles, we obtain a complete classification of topological relations which called RCC32. By calculating the cost of transforming one relation into another, the closest topological relation graph of RCC32 is given. © 2011 IEEE.

关键词： computational geometry

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SNB-PPB: Social-network-based-privacy-preserving Broadcast for Vehicular Communications 4

SNB-PPB: Social-network-based-privacy-preserving Broadcast f...

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4th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2018

作者： Liu, Yanheng Zhu, Haifeng Wang, Jian College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China

ISBN: (纸本)9789897582936

Internet key Exchange (IKE) can be used in vehicular communications in vehicular ad hoc networks (VANETs), but it requires a stable communication procedure, which is usually difficult to achieve because of the highly dynamic context of a VANET. In this paper, we propose a new method named social-network-based-privacy-preserving broadcast (SNB-PPB) for secure vehicular communications, which can omit the key exchange procedure. It transfers the information of online social networks to offline vehicular communications, dividing messages into different privacy levels and vehicles into different trust levels based on trust relations on social networks. The sender uses attributes on social networks and the message’s privacy level to encrypt messages;only those receivers who satisfy the corresponding trust level can decrypt the broadcast *** the best of our knowledge, this is the first time that social networks have been applied in VANETs to achieve secure vehicular communications and privacy preservation. Our simulation results show that our method enables the sender to decide the amount and percentage of vehicles that can decrypt the received broadcast. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Vehicular ad hoc networks

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An Improved Pigeon-Inspired Optimization for Multi-focus Noisy Image Fusion

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Journal of Bionic engineering 2021年第6期18卷 1452-1462页

作者： Yingda Lyu Yunqi Zhang Haipeng Chen Public Computer Education and Research Center Jilin UniversityChangchun130012China College of Software Jilin UniversityChangchun 130012China College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China

Image fusion technology is the basis of computer vision task,but information is easily affected by noise during *** this paper,an Improved Pigeon-Inspired Optimization(IPIO)is proposed,and used for multi-focus noisy image fusion by combining with the boundary handling of the convolutional sparse *** two-scale image decomposition,the input image is decomposed into base layer and detail *** the base layer,IPIO algorithm is used to obtain the optimized weights for fusion,whose value range is gained by fusing the edge ***,the global information entropy is used as the fitness index of the IPIO,which has high efficiency especially for discrete optimization *** the detail layer,the fusion of its coefficients is completed by performing boundary processing when solving the convolution sparse representation in the frequency *** sum of the above base and detail layers is as the final fused *** results show that the proposed algorithm has a better fusion effect compared with the recent algorithms.

关键词： Improved pigeon-inspired optimization Convolutional sparse representation Noisy image fusion Bionic algorithm

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