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2017 13th International Conference on Computational Intelligence and Security (CIS)最新文献

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Adaptive Fireworks Algorithm Based on Simulated Annealing 基于模拟退火的自适应烟花算法
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00087
Wenwen Ye, Jiechang Wen
{"title":"Adaptive Fireworks Algorithm Based on Simulated Annealing","authors":"Wenwen Ye, Jiechang Wen","doi":"10.1109/CIS.2017.00087","DOIUrl":"https://doi.org/10.1109/CIS.2017.00087","url":null,"abstract":"This paper proposes an adaptive fireworks algorithm based on simulated annealing to solve global optimization problems. It normalizes the individuals before the explosion operation and then restores them after the explosion operation. The subpopulations are produced simultaneously by the explosion operation and the mutation operation, and then a new way to produce the explosion amplitude by introducing the simulated annealing is used to adjust the explosion amplitude adaptively along with the evolution. Experimental results on eight benchmark functions with different shift values show that the proposed algorithm has higher accuracy and faster convergence rate than the other five compared algorithms.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Analysis and Improvement of True Random Number Generator Based on Autonomous Boolean Network 基于自治布尔网络的真随机数生成器的分析与改进
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00060
Lihua Dong, Hui Yang, Yong Zeng
{"title":"Analysis and Improvement of True Random Number Generator Based on Autonomous Boolean Network","authors":"Lihua Dong, Hui Yang, Yong Zeng","doi":"10.1109/CIS.2017.00060","DOIUrl":"https://doi.org/10.1109/CIS.2017.00060","url":null,"abstract":"This paper presents a Boolean stochastic model to analysis the necessary oscillation condition for chaotic oscillator in true random number generator based on Boolean network. A true random number generator (TRNG) based on an autonomous Boolean network with small number of nodes is present. Via adding a time delay self-feedback circuit to increase the circuit delay, the autonomous Boolean network with small number of nodes can be served as a chaotic oscillator of TRNG. Few logic elements are needed in this circuit. The throughput of the TRNG is 100Mbit/s and the randomness is tested using NIST statistical tests.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Segmental Offset-Mapping Parallel Coordinates for Multidimensional Integer Dataset 多维整数数据集的分段偏移映射并行坐标
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00097
Hui Li, Qin He, Hong Bao, Nan Ma, Guilin Pang
{"title":"Segmental Offset-Mapping Parallel Coordinates for Multidimensional Integer Dataset","authors":"Hui Li, Qin He, Hong Bao, Nan Ma, Guilin Pang","doi":"10.1109/CIS.2017.00097","DOIUrl":"https://doi.org/10.1109/CIS.2017.00097","url":null,"abstract":"To visualize and analysis the multidimensional integer dataset, we present a visualization method named segmental offset-mapping parallel coordinates. The method first counted and calculated the proportion of each integer value in each dimension. The stacked coordinate axis was adopted to express the distribution of data in each dimension. The offset-mapping technology was introduced to obtain corresponding points in axes. The position of corresponding points could be different even the same integer value in different record using offset-mapping. The corresponding points was scattered over segment in the stacked coordinate axis using the offset-mapping technology. The offset-mapping technology can improve the capability of expressing the correlativity between the adjacent dimensions effectively for the multidimensional integer dataset. Road scene data in the unmanned driving field was selected as the experimental dataset in this paper. The experimental results prove the method presented in the paper can achieve obvious expression to the correlativity between the adjacent dimension data. The method can effectively improve the matching and analysis efficiency of road scene data in the unmanned driving field.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122777664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Agent-Based Simulation of Evacuation Considering Extreme Weather in Tourist Areas 基于agent的旅游景区极端天气疏散仿真
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00100
Lei Li, Lindi Xiao, Meng Zhang, Jingyi Kong, Hui Sun
{"title":"Agent-Based Simulation of Evacuation Considering Extreme Weather in Tourist Areas","authors":"Lei Li, Lindi Xiao, Meng Zhang, Jingyi Kong, Hui Sun","doi":"10.1109/CIS.2017.00100","DOIUrl":"https://doi.org/10.1109/CIS.2017.00100","url":null,"abstract":"Pedestrians and vehicles are the main objects of evacuation. However, current evacuation models largely overlook the interaction between these two agents. This paper develops an agent-based model, which takes the interaction of pedestrians and vehicles into account, to discuss the influence of capacity and quantity of transportation infrastructures on evacuation efficiency when haze or heat wave happens in tourist areas. We discuss the evacuation efficiency by adjusting the number of entered pedestrians and vehicles, and the width of roads in tourist areas. In addition, this research obtains the optimal adaption strategy by discussing the cost/benefit of the adjustment in practical environment.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"38 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123017792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Research on the Improvement of Dual Optimization on BP Neural Network BP神经网络对偶优化改进研究
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00114
Ruliang Wang, Yang Xuan
{"title":"A Research on the Improvement of Dual Optimization on BP Neural Network","authors":"Ruliang Wang, Yang Xuan","doi":"10.1109/CIS.2017.00114","DOIUrl":"https://doi.org/10.1109/CIS.2017.00114","url":null,"abstract":"At present, the most widely used BP network model in traffic, agriculture and related data mining is still an important neural network algorithm model, but its performance has not been satisfactory. The convergence and prediction accuracy of the BP neural network is general and easy to fall into the local optimal solution, and these shortcomings still need to be improved continuously. Therefore, in view of the above mentioned problems, an improved BP network algorithm is proposed by combining the dynamic self-learning effect factor and the improved network activation function. Experimental results show that the proposed improved BP network scheme can greatly improve the convergence efficiency and accuracy of BP neural networks.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115504925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Passivity of Inertial Neural Networks with Delays on Time Scales 时间尺度上时滞惯性神经网络的无源性
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00048
Qiang Xiao, Lingyu Wang, Tingwen Huang
{"title":"Passivity of Inertial Neural Networks with Delays on Time Scales","authors":"Qiang Xiao, Lingyu Wang, Tingwen Huang","doi":"10.1109/CIS.2017.00048","DOIUrl":"https://doi.org/10.1109/CIS.2017.00048","url":null,"abstract":"This paper deals with the passivity problem of inertial neural networks (INNs) with discrete delays on time scales. By one linear variable transformation, one passivity criterion is obtained based on the calculus of time scale and LMI techniques Furthermore, two particular criteria for the corresponding continuous and discrete time INNs are derived. Some numerical examples are given to show the validity of the obtained results. The time scale scheme offers results that hold for continuous-time systems, discrete-time systems, and the systems that involve on time intervals.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using Memetic Algorithm For Matching Process Models 基于模因算法的过程模型匹配
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00011
Xingsi Xue, Aihong Ren
{"title":"Using Memetic Algorithm For Matching Process Models","authors":"Xingsi Xue, Aihong Ren","doi":"10.1109/CIS.2017.00011","DOIUrl":"https://doi.org/10.1109/CIS.2017.00011","url":null,"abstract":"To support the analysis, redesign, and implementation projects in enterprises, it's necessary to identify the correspondences between different business process models. However, according to the process model matching contests, the effectiveness of state-of-the-art process model matchers is low, i.e., their alignment only contain a few existing and many irrelevant correspondences. To improve the quality of process model alignment, in this work, we propose a novel activity similarity measure to calculate the similarity between different activities, construct an optimal model for process model matching problem and design a Memetic Algorithm (MA) based process model matcher to determine the high quality process model alignments. The experimental result shows that our approach's performance significantly outperforms other EA based matchers and state-of-the-art process model matchers.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115971421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Method of Integrated Pipeline Intelligent Conversion of BIM Design Model into Fine BIM Construction Model 集成管道智能化BIM设计模型到精细BIM施工模型的转换方法
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00093
Shaoxiong Ma, Qingpan Zhao, Xinhong Hei, Cunli Chen
{"title":"The Method of Integrated Pipeline Intelligent Conversion of BIM Design Model into Fine BIM Construction Model","authors":"Shaoxiong Ma, Qingpan Zhao, Xinhong Hei, Cunli Chen","doi":"10.1109/CIS.2017.00093","DOIUrl":"https://doi.org/10.1109/CIS.2017.00093","url":null,"abstract":"The complexity of construction engineering and the difficulty of construction technology in our country had increased, relying on the traditional two-dimensional drawings had been unable to meet the construction process of quality management needs. In addition, because of the separation of design and construction process, the occurring of construction changes the cross construction of participating units, there is a lot of information transmission and coordination issues, which resulting in inefficient construction management. Application of BIM technology to the three-dimensional model as the carrier, the implementation of the whole life cycle of construction, which achieve a viable solution to design and construction process for multi-coordination, conflict detection, progress optimization, security management, but the integrated pipeline BIM design model can not meet the construction accuracy requirements, and the amount of information is low. Therefore, a method of intelligent conversion of BIM design model into fine BIM construction model is proposed in this paper, and standardizing BIM information to realize the application of BIM technology in the whole life cycle of construction project and effective construction guidance.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128620470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Convolutional Neural Network with Dynamic Correlation Pooling 具有动态关联池的卷积神经网络
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00115
Junfeng Chen, Zhoudong Hua, Jingyu Wang, Shi Cheng
{"title":"A Convolutional Neural Network with Dynamic Correlation Pooling","authors":"Junfeng Chen, Zhoudong Hua, Jingyu Wang, Shi Cheng","doi":"10.1109/CIS.2017.00115","DOIUrl":"https://doi.org/10.1109/CIS.2017.00115","url":null,"abstract":"A dynamic correlation pooling method is proposed based on Mahalanobis distance to improve the accuracy of image recognition. The proposed correlation technique employs the correlation information between adjacent pixels of the image and is applied to Lenet-5 convolution neural network model, the performance of which is tested on data sets of MMIST, USPS and CIFAR-10, respectively. The empirical studies show that the proposed pooling method can improve the convergence rate and recognition accuracy in comparison with the max pooling, average pooling, stochastic pooling and mixed pooling.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116981476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Improving Hybrid Gravitational Search Algorithm for Adaptive Adjustment of Parameters 参数自适应调整的改进混合引力搜索算法
2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00013
Yongchao Han, Ming Li, Jie Liu
{"title":"Improving Hybrid Gravitational Search Algorithm for Adaptive Adjustment of Parameters","authors":"Yongchao Han, Ming Li, Jie Liu","doi":"10.1109/CIS.2017.00013","DOIUrl":"https://doi.org/10.1109/CIS.2017.00013","url":null,"abstract":"In this paper, a new Improved Hybrid Gravitational Search Algorithm (IHGSA) is proposed. First, the influence of the learning factor on global exploration and the local exploitation of the algorithm is analyzed, and the parameter adjustment mechanism which can balance the two search capabilities is designed reasonably. Secondly, the PSO is embedded into the Gravitational Search Algorithm (GSA), and an Improved Hybrid Gravitational Search Algorithm (IHGSA) is proposed. Finally, 21 benchmark test functions are programmed and calculated in comparison with the results of the Gravity Search Algorithm (GSA). The numerical results show that the new algorithm balanced the global exploration and local exploitation. The IHGSA are also better than the Gravity Search Algorithm (GSA) in convergence rate and convergence accuracy.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114195439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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