2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)最新文献_第2页

Predicting the success of bank telemarketing using deep convolutional neural network 利用深度卷积神经网络预测银行电话营销的成功

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492828

Kee-Hoon Kim, Chang-Seok Lee, Sang-Muk Jo, Sung-Bae Cho

引用次数: 23

Power allocation of jamming attackers against PEV charging stations: A game theoretical approach 电动汽车充电站干扰攻击者的功率分配:一种博弈论方法

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492792

Zhesheng Zhang, Wei Yuan, Fanyu You

{"title":"Power allocation of jamming attackers against PEV charging stations: A game theoretical approach","authors":"Zhesheng Zhang, Wei Yuan, Fanyu You","doi":"10.1109/SOCPAR.2015.7492792","DOIUrl":"https://doi.org/10.1109/SOCPAR.2015.7492792","url":null,"abstract":"This paper considers a system consisting of multiple attackers, lots of charging stations and plug-in electric vehicles (PEVs). The attackers conduct channel jamming attacks and benefit from snatching customers (i.e., PEVs) from the victim charging stations. Suppose that the attackers are selfish and they attempt to maximize their own average net revenue per unit time. We aim to investigate the problem of how to appropriately choose its transmit power to conduct the jamming attack for every attacker. We formulate this problem as a noncooperative game, and show the existence of its solution, i.e., a Nash equilibrium (NE). Due to the existence of some coupling constraints, the game is a Generalized Nash equilibrium problem (GNEP), which is usually hard to solve. To overcome this challenge, here we introduce a variation inequality (VI) approach. More specifically, we treat the game as a VI problem, and prove the existence of its solution. We develop an iterative algorithm to compute the solution to the VI problem, which corresponds to an NE of our game. Numerical results demonstrate the effectiveness and the efficiency of our proposed algorithm.","PeriodicalId":409493,"journal":{"name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127747630","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

An integrated approach for multilingual scene text detection 一种集成的多语言场景文本检测方法

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492809

W. Liao, Yi Liang, Yi-Chieh Wu

{"title":"An integrated approach for multilingual scene text detection","authors":"W. Liao, Yi Liang, Yi-Chieh Wu","doi":"10.1109/SOCPAR.2015.7492809","DOIUrl":"https://doi.org/10.1109/SOCPAR.2015.7492809","url":null,"abstract":"Text messages in an image usually contain useful information related to the scene, such as location, name, direction or warning. As such, robust and efficient scene text detection has gained increasing attention in the area of computer vision recently. However, most existing scene text detection methods are devised to process Latin-based languages. For the few researches that reported the investigation of Chinese text, the detection rate was inferior to the result for English. In this research, we propose a multilingual scene text detection algorithm for both Chinese and English. The method comprises of four stages: 1. Preprocessing by bilateral filter to make the text region more stable. 2. Extracting candidate text edge and region using Canny edge detector and Maximally Stable Extremal Region (MSER) respectively. Then combine these two features to achieve more robust results. 3. Linking candidate characters: considering both horizontal and vertical direction, character candidates are clustered into text candidates using geometrical constraints. 4. Classifying candidate texts using support vector machine (SVM), to separate text and non-text areas. Experimental results show that the proposed method detects both Chinese and English texts, and achieve satisfactory performance compared to those approaches designed only for English detection.","PeriodicalId":409493,"journal":{"name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134226101","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

Agent-based two-dimensional barcode decoding robust against non-uniform geometric distortion 基于智能体的二维条码解码具有抗非均匀几何畸变的鲁棒性

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492804

Kazuya Nakamura, Hiroshi Kawasaki, S. Ono

引用次数: 5

An effective AIS-based model for frequency assignment in mobile communication 一种有效的基于ais的移动通信频率分配模型

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492816

S. I. Suliman, G. Kendall, I. Musirin

引用次数: 2

Improving the performance of projection-based cancelable fingerprint template method 改进基于投影的可取消指纹模板方法的性能

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492788

T. Ahmad, Doni S. Pambudi, T. Usagawa

引用次数: 5

Parallel genetic algorithm with social interaction for solving constrained global optimization problems 求解约束全局优化问题的社会交互并行遗传算法

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492772

Rodrigo Lisbôa Pereira, Edson Koiti Kudo Yasojima, R. M. Oliveira, M. A. F. Mollinetti, O. N. Teixeira, R. C. L. Oliveira

引用次数: 4

Grey wolf optimization for one-against-one multi-class support vector machines 一对一多类支持向量机的灰狼优化

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492781

Esraa Elhariri, Nashwa El-Bendary, A. Hassanien, A. Abraham

{"title":"Grey wolf optimization for one-against-one multi-class support vector machines","authors":"Esraa Elhariri, Nashwa El-Bendary, A. Hassanien, A. Abraham","doi":"10.1109/SOCPAR.2015.7492781","DOIUrl":"https://doi.org/10.1109/SOCPAR.2015.7492781","url":null,"abstract":"Grey Wolf Optimization (GWO) algorithm is a new meta-heuristic method, which is inspired by grey wolves, to mimic the hierarchy of leadership and grey wolves hunting mechanism in nature. This paper presents a hybrid model that employs grey wolf optimizer (GWO) along with support vector machines (SVMs) classification algorithm to improve the classification accuracy via selecting the optimal settings of SVMs parameters. The proposed approach consists of three phases; namely pre-processing, feature extraction, and GWO-SVMs classification phases. The proposed classification approach was implemented by applying resizing, remove background, and extracting color components for each image. Then, feature vector generation has been implemented via applying PCA feature extraction. Finally, GWO-SVMs model is developed for selecting the optimal SVMs parameters. The proposed approach has been implemented via applying One-againstOne multi-class SVMs system using 3-fold cross-validation. The datasets used for experiments were constructed based on real sample images of bell pepper at different stages, which were collected from farms in Minya city, Upper Egypt. Datasets of total 175 images were used for both training and testing datasets. Experimental results indicated that the proposed GWO-SVMs approach achieved better classification accuracy compared to the typical SVMs classification algorithm.","PeriodicalId":409493,"journal":{"name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130692553","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: 27

The effect of using super-resolution to improve feature extraction and registration of low resolution images in sensor networks 利用超分辨率技术改善传感器网络中低分辨率图像的特征提取和配准效果

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492770

Wai Chong Chia, L. Yeong, S. I. Ch'ng, Yoke Lun Kam

引用次数: 2

A co-learning system for humans and machines 人类和机器的共同学习系统

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) Pub Date : 2015-11-01 DOI: 10.1109/SOCPAR.2015.7492774

Takaya Ogiso, K. Yamauchi, Norio Ishii, Yuri Suzuki

引用次数: 1