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Mathematical Models, GRASP Algorithms and Fitness Landscape Analysis for Aircraft Gate Assignment Problem

Mathematical Models, GRASP Algorithms and Fitness Landscape ...

引用

International Conference on Computational Intelligence and Security

作者： Yajie Pi Xueyan Song Jizhou Sun School of Computer Software Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China School of Computer Science and Technology Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China

ISBN: (纸本)9781479974351

The assignment of the airline planes to appropriate gates is complex combinatorial optimization. Most of the research works in previous literatures take the passengers' walking distance as the optimization objective. With the development of the air transportation, more and more transferring services are required. In this paper, a novel AGAP model is developed to meet this demand. A number of heuristic algorithms have been proposed to solve the AGAP. Those heuristics have the disadvantages of slow convergence and precocity, which affect the performance of the algorithms. The GRASP procedures have a series of good features: strong intuitive greedy appeals, prominent empirical track records, and trivial to be efficiently implemented on parallel processors. More important, GRASP can overcome the precocity. In this paper, a GRASP algorithm on AGAP is proposed to solve the AGAP problem. Experimental results demonstrate that our GRASP algorithm on AGAP evidently exceeds GA algorithms on the quality of solutions and time complexity. To explain why GRASP algorithm on AGAP has a better performance than GA, fitness landscape analysis is presented.

关键词： Computational intelligence Security

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Dynamic analysis of human behavior based on user log of ACM

Dynamic analysis of human behavior based on user log of ACM

引用

2014 International Conference on Applied Sciences, Engineering and technology, ICASET 2014

作者： Long, Zi Yuan Han, Xu Wang, Wen Jun Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin 300000 China The population management office of Tianjin Municipal Public Security Bureau Tianjin 300000 China

ISBN: (纸本)9783038351849

Human behavior is one kind of complicated phenomena. Comprehensive and profound understanding of their behavioral characteristics has been the direction of the tireless efforts of people. In recent years, studies have shown that: if the time series of human behavior is a Poisson process, its probability distribution is exponential distribution interval. However, currently a number of empirical analyses show that: some of the probability distribution of the interval of events triggered by human behavior are Power-law distribution and the process is an intermittency process. In this paper, based on a statistical analysis of about 1300000 user log of TJU-ACM from 2004 to 2013, we found that distribution of the interval of submit time of users follows a power law with an exponent characteristic, which is a difference from the analysis results of the previous wording. After investigation, we knew the reason for this result is that the answer to the question of ACM online is driven by a specific interaction of interest. It also further demonstrates that for the time series of some natural phenomena and human behavior, its time domain features are shown a strong episodic, and its distribution characteristics are driven by specific factors. © (2014) Trans Tech Publications, Switzerland.

关键词： Time series

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Empirical analysis on human dynamics of QQ group communication

Empirical analysis on human dynamics of QQ group communicati...

引用

2014 International Conference on Applied Sciences, Engineering and technology, ICASET 2014

作者： Tian, Rui Han, Xu Wang, Wen Jun Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin 300072 China The population management office of Tianjin Municipal Public Security Bureau Tianjin 300000 China

ISBN: (纸本)9783038351849

The understanding of the temporal patterns of individual human interactions is essential in explaining many characteristics of human behavior. The instant communication tool QQ is developing rapidly on the network in recent years. Based on the QQ group communication records provided by some volunteers, this paper investigates the statistics of the inter-event intervals between two consecutive messages. The result shows that they follow power-law distribution. And there are obvious positive correlation between the activity of QQ group and the power-law exponent of inter-event time distribution. In further study, we find that the distribution displays a strong bursty property yet weak memory effects, then we analysis the distribution of the number of events in a bursty period. © (2014) Trans Tech Publications, Switzerland.

关键词： Behavioral research

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Analysis of city traffic characteristics from GPS data

Analysis of city traffic characteristics from GPS data

引用

2014 International Conference on Applied Sciences, Engineering and technology, ICASET 2014

作者： Dong, Jiang Yuan Han, Xu Wang, Wen Jun Tianjin Key Laboratory of Cognitive Computing and Application School of Computer Science and Technology Tianjin University Tianjin 300000 China The population management office of Tianjin Municipal Public Security Bureau Tianjin 300000 China

ISBN: (纸本)9783038351849

With the city urbanization and increase in the number of motor vehicle, Study of the city traffic pattern from taxi GPS data has become the research hotspot. This paper analyzes two city taxi GPS data;calculate the peak of get-on/off amount, the time span distribution of time dimension. Radius of gyration of spatial dimension. Then analyze the traffic characteristics through these temporal characteristic parameters. © (2014) Trans Tech Publications, Switzerland.

关键词： Global positioning system

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Locality preserving hashing method for image retrieval 14

Locality preserving hashing method for image retrieval

引用

6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014

作者： Li, Qiang Han, Yahong Dang, Jianwu School of Computer Science and Technology Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University China School of Information Science Japan Advanced Institute of Science and Technology Ishikawa 923-1192 Japan

ISBN: (纸本)9781450328104

Binary hashing is widely used in efficient similarity computing for image/video search. In this work, we propose a Locality Preserving Hashing (LPH) method to improve the image retrieval performance, we first project high-dimensional feature space into low dimension using locality preserving method, in which the locality properties can be well maintained, then binaries the lowdimensional feature into binary index code using a heuristic projection strategy;in retrieval stage, we compute the Hamming distance of the cell indices by implementing XOR and bit-count operations, obtain the similarity result and finally get the target images. We evaluate the algorithm on four public image datasets and compare it with some popular methods, and the experimental results show the validity of our proposed method. Copyright 2014 ACM.

关键词： Hamming distance

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Analysis of urban traffic based on taxi GPS data

Analysis of urban traffic based on taxi GPS data

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5th FTRA International Conference on computer Science and its applications, CSA 2013

作者： Li, Meng Li, Ru-Tong Xia, Yong Qin, Zhi-Guang School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Key Laboratory of Calculation and Application Service of Shenzhen Popular High Performance Computers of Guangdong Province Shenzhen 518000 China

ISBN: (纸本)9783642416736

Recently, the problem of traffic jam in major cities is getting worse. By leveraging the taxi GPS data of Shenzhen, this paper analyzes the urban traffic status and proposes rational suggestions for urban traffic management. In particular, this paper firstly presents the get-on and get-off points on GIS map based on taxi GPS data. Secondly, by using K-Means algorithm to allocate urban traffic cells, the hot areas where passenger flow is huge are pointed out. Finally, based on the taxi speed, we locate the crowded area and find the crowded period, then analyze the reasons that cause the traffic jam and propose rational suggestions for urban traffic management. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Clustering algorithms

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An Extended UML Method for the Verification of Security Protocols

An Extended UML Method for the Verification of Security Prot...

引用

IEEE International Conference on Engineering of Complex computer Systems

作者： Gang Shen Xiaohong Li Ruitao Feng Guangquan Xu Jing Hu Zhiyong Feng School of Computer Science and Technology Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China

This paper presents a formal modeling method of security protocols based on the extended UML framework. In order to simplify the process and reduce the difficulty of security protocol modelling, extending mechanisms for the class diagram and sequence diagram of UML are presented, which provide an engineering specification for the security protocol formalizing. Therefore, for verifying the confidentiality and correspondence of security protocols by Prover if, a transformation from extended UML model to Prover if Spi calculus model is realized with matching rules and knowledge reasoning, and then the verifying results are analyzed through a regular expression. Finally, the handshake, NS public key and buyer-seller watermarking protocols are verified, the attack traces of unsatisfied security properties are exported, that show the validity and applicability of the approach provided by this paper.

关键词： Unified modeling language Protocols Cryptography Cognition Calculus Data models

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OOPN-SRAM: A Novel Method for Software Risk Assessment

OOPN-SRAM: A Novel Method for Software Risk Assessment

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IEEE International Conference on Engineering of Complex computer Systems

作者： Xiaofei Wu Xiaohong Li Ruitao Feng Guangquan Xu Jing Hu Zhiyong Feng School of Computer Science and Technology Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China

This paper proposes a Software Risk Assessment Method based on Object-Oriented Petri Net (OOPN-SRAM), in which risk assessment procedure is divided into four steps, expressed as four corresponding objects, including asset recognition, weakness analysis, consequence property confirmation and risk calculation. Each object is modeled with Petri net. Specialists recognize software assets by the 1-9 scales method of Analytic Hierarchy Process (AHP). The weaknesses in a system are found by the vulnerability scanner. The damage degree and the exploitation likelihood of a weakness are evaluated by such authorities as Common Weakness Enumeration (CWE). The consequence properties are confirmed by specialists according to the software requirements. Finally, in the risk calculation, risk degree and overall risk value are calculated by using exponential method and weighted average method respectively. Furthermore, we illustrate the application of our OOPN-SRAM method with realistic examples including web-banking and forum, and make a comparison with traditional methods. The results show that OOPN-SRAM not only increases the efficiency of the evaluation process, but also makes the evaluation result more objective and accurate.

关键词： Software Risk management Object oriented modeling Security Computational modeling Educational institutions Availability

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The design and implementation of a campus network automatic certification in a router

The design and implementation of a campus network automatic ...

引用

2014 2nd International Conference on Frontiers in computer Education(ICFCE 2014)

作者： Ting Zhao XiHan Li Lei Zhang Gang Zhang School of Computer Science and Technology Tianjin University Tianjin Key Laboratory of Cognitive Computing and Application

Against the tedious process of PPPoE campus network access authentication on the web page,the logic flow of the client used in the router to complete the automatic certification,and part of the kernel technology are given to develop the software available for routers using OpenWrt *** communication details are obtained and further simulated through Firebug tool,the graphical user configuration interface,based on the LuCi framework,and the bridging technology is used to solve the IPv6 connectivity issues in subnet *** account login and certification can be completed by the router,and the concise interface enables users to timely view their account status,modify their settings and monitor *** compiling and debugging,the software has successfully achieved these functions.

关键词： The design and implementation of a campus network automatic certification in a router

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Bayesian statistical inference-based estimation of distribution algorithm for the re-entrant job-shop scheduling problem with sequence-dependent setup times

Bayesian statistical inference-based estimation of distribut...

引用

10th International Conference on Intelligent Computing, ICIC 2014

作者： Chen, Shao-Feng Qian, Bin Liu, Bo Hu, Rong Zhang, Chang-Sheng Department of Automation Kunming University of Science and Technology Kunming 650500 China Key Laboratory of Computer Technologies Application of Yunnan Province Kunming 650500 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783319093383

In this paper, a bayesian statistical inference-based estimation of distribution algorithm (BEDA) is proposed for the re-entrant job-shop scheduling problem with sequence-dependent setup times (RJSSPST) to minimize the maximum completion time (i.e., makespan), which is a typical NP hard combinatorial problem with strong engineering background. Bayesian statistical inference (BSI) is utilized to extract sub-sequence information from high quality individuals of the current population and determine the parameters of BEDA's probabilistic model (BEDA-PM). In the proposed BEDA, BEDA-PM is used to generate new population and guide the search to find promising sequences or regions in the solution space. Simulation experiments and comparisons demonstrate the effectiveness of the proposed BEDA. © 2014 Springer International Publishing Switzerland.

关键词： Evolutionary algorithms

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