2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)最新文献_第5页

A new classification algorithm for the bank customer credit rating 一种新的银行客户信用评级分类算法

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI: 10.1109/ICACI.2017.7974499

Haoxin Wang, Jingdong Zhong, Defu Zhang, Xinyao Zou

引用次数: 3

Vision-based illegal human ladder climbing action recognition in substation 基于视觉的变电站违章人梯动作识别

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI: 10.1109/ICACI.2017.7974507

Tianzheng Wang, Qingang An, Jie Li, Yujia Zhang, Junyu Han, Shuai Wang, Shiying Sun, Xiaoguang Zhao

{"title":"Vision-based illegal human ladder climbing action recognition in substation","authors":"Tianzheng Wang, Qingang An, Jie Li, Yujia Zhang, Junyu Han, Shuai Wang, Shiying Sun, Xiaoguang Zhao","doi":"10.1109/ICACI.2017.7974507","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974507","url":null,"abstract":"Nowadays, unattended monitoring system has been widely used in substation for its efficiency and efficacy, and it sometimes may cause safety problems for utility workers. In order to ensure workers' safety, in this paper, we focus on the problem of illegal human ladder climbing action recognition in substation using vision-based algorithm. Specifically, we first detect “forbidden” and “allowing” types of signboards on the ladder to localize the ladder and then define the unsafe area. We use HSV-based algorithm and do hough circle detection to recognize “forbidden” signboard. To recognize “allowing” signboard, we propose HOG-based feature extraction algorithm with SVM classifier, and then use color analysis for further detection. After that, we detect and localize human action applying Visual Background Extractor(ViBE) algorithm. Finally, we can recognize illegal human ladder climbing action based on the relative position between human and signboards. The experiments demonstrate the relative high accuracy of our proposed algorithm.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127499555","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

A novel multiattribute decision making method based on interval-valued intuitionistic fuzzy values and particle swarm optimization techniques 基于区间直觉模糊值和粒子群优化技术的多属性决策方法

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI: 10.1109/ICACI.2017.7974483

Shyi-Ming Chen, Zhi-Cheng Huang

引用次数: 3

On invertibility and group inverse of combinations of two orthogonal projectors about a complex square matrix 关于复方阵的两个正交投影组合的可逆性和群逆

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI: 10.1109/ICACI.2017.7974479

Yinlan Chen

引用次数: 0

A self-adaptive scheme for double color-image encryption 一种双彩色图像加密的自适应方案

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI: 10.1109/ICACI.2017.7974496

Fang Han, X. Liao, Huiwei Wang, Bo Yang, Yushu Zhang

{"title":"A self-adaptive scheme for double color-image encryption","authors":"Fang Han, X. Liao, Huiwei Wang, Bo Yang, Yushu Zhang","doi":"10.1109/ICACI.2017.7974496","DOIUrl":"https://doi.org/10.1109/ICACI.2017.7974496","url":null,"abstract":"Most of existing optical color image encryption schemes have born security risks due to the adoption of linear transform, and data redundancy for the generation of complex image. To settle these problems effectively, a self-adaptive scheme for double color-image encryption is proposed in this paper. In this scheme, each RGB color component of two secret color images is first compressed and encrypted by 2D compressive sensing (CS) in which measurement matrices are generated by compound chaotic systems. Then, the two measured images are regarded as the real part and imaginary part, constituting a complex image to reduce data redundancy caused by following optical encryption. In the end, the complex image is reencrypted by self-adaptive random phase encoding and discrete fractional random transform (DFrRT) to obtain the final encrypted data. In the process of DFrRT and random phase encoding, the correlations between R, G, B components are adequately utilized. The production of key streams not only depends on the initial value but also on plain-text, and the three color components affect each other to enhance the ability against the known plaintext attack. The projection neural network algorithm is adopted to obtain the decryption images. Simulation results also verify the validity and security of the proposed method.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126718081","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 fuzzy logic system to analyze a student's lifestyle 一个模糊逻辑系统来分析学生的生活方式

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2016-10-13 DOI: 10.1109/ICACI.2017.7974514

Sourish Ghosh, Aaditya Sanjay Boob, N. Nikhil, Nayan Raju Vysyaraju, Ankit Kumar

引用次数: 5