2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)最新文献_第5页

Analyst intuition inspired high velocity big data analysis using PCA ranked fuzzy k-means clustering with multi-layer perceptron (MLP) to obviate cyber security risk 基于分析师直觉的高速大数据分析，采用基于多层感知器(MLP)的PCA排序模糊k-均值聚类来规避网络安全风险

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393038

T. Teoh, Yue Zhang, Y. Nguwi, Y. Elovici, W. Ng

{"title":"Analyst intuition inspired high velocity big data analysis using PCA ranked fuzzy k-means clustering with multi-layer perceptron (MLP) to obviate cyber security risk","authors":"T. Teoh, Yue Zhang, Y. Nguwi, Y. Elovici, W. Ng","doi":"10.1109/FSKD.2017.8393038","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393038","url":null,"abstract":"The growing prevalence of cyber threats in the world are affecting every network user. Numerous security monitoring systems are being employed to protect computer networks and resources from falling victim to cyber-attacks. There is a pressing need to have an efficient security monitoring system to monitor the large network datasets generated in this process. A large network datasets representing Malware attacks have been used in this work to establish an expert system. The characteristics of attacker's IP addresses can be extracted from our integrated datasets to generate statistical data. The cyber security expert provides to the weight of each attribute and forms a scoring system by annotating the log history. We adopted a special semi supervise method to classify cyber security log into attack, unsure and no attack by first breaking the data into 3 cluster using Fuzzy K mean (FKM), then manually label a small data (Analyst Intuition) and finally train the neural network classifier multilayer perceptron (MLP) base on the manually labelled data. By doing so, our results is very encouraging as compare to finding anomaly in a cyber security log, which generally results in creating huge amount of false detection. The method of including Artificial Intelligence (AI) and Analyst Intuition (AI) is also known as AI2. The classification results are encouraging in segregating the types of attacks.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131137514","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: 6

Attribute reduction based on object concepts 基于对象概念的属性约简

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393040

Can Wang, Xi Yu, Lijuan Wang, Danni Liu, Chunming Xu

引用次数: 1

Forecasting of the electric vehicles' charging amount of electricity based on curves clustering 基于曲线聚类的电动汽车充电量预测

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393153

Qijin Huang, Yan Chen, Zhou Sun, Jing Cao, Jiakui Zhao, Hong Ouyang, Pingfei Zhu, Dong Wang, Yuxi Liu

引用次数: 7

Named entity recognition for Chinese microblog with convolutional neural network 基于卷积神经网络的中文微博命名实体识别

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393390

L. Zhang, Huan Zhao

引用次数: 2

Multi-class wine grades predictions with hierarchical support vector machines 用分层支持向量机进行多等级葡萄酒等级预测

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8392918

Bernard Chen, Clifford A. Tawiah, James Palmer, Recep Erol

引用次数: 1

Study on MS-BHFSP with multi-objective 多目标MS-BHFSP研究

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393286

Ze Tao, Q. Zhou

引用次数: 2

Study on the adaptive scale of agricultural development and utilization in Mu Us Sandy Land based on NSGA-II 基于NSGA-II的毛乌素沙地农业开发利用适应性规模研究

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393288

Siyuan Liu, Ni Wang, Jiancang Xie, R. Jiang, Liu Yang

{"title":"Study on the adaptive scale of agricultural development and utilization in Mu Us Sandy Land based on NSGA-II","authors":"Siyuan Liu, Ni Wang, Jiancang Xie, R. Jiang, Liu Yang","doi":"10.1109/FSKD.2017.8393288","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393288","url":null,"abstract":"The balance of water and soil resources directly influences the ecological environment and the potential of social and economic development in water shortage areas. Especially in the Mu Us Sandy Land, where was suffering extreme lack of water, when all kinds of agricultural development and utilization mode had caused obvious pressure on local water resources, if the mode and the existing agricultural planting structure were still continuing, disorderly expanding the developing scale, will undoubtedly made more serious ecological problems. In this study, taking Yulin District in the southern margin of Mu Us Sandy Land as the research object, the multi-objective optimization model of adaptive scale of development and utilization of the sandy land agriculture was established with the constraints of limited water resources and goals of economic, social, ecological benefits. Based on the NSGA-II algorithm, typical schemes including unitary planting structure, binary planting structure and three-component planting structure were proposed. After summing up and analyzing, seven different schemes including diversified agricultural planting pattern were recommended, also the planting areas of diverse crops were given. The final optimized schemes could provide references for the development, harnessing and utilization of sandy land, and improve the local ecological environment, expanding the effective cultivated land area of Yuyang District and promoting the coordinated development of regional water and soil resources.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442047","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

Feed-forward network for cancer detection 癌症检测的前馈网络

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393356

Shengyu Pei, Lang Tong, Xia Li, Jin Jiang, Jingyu Huang

引用次数: 4

A computational evaluation system of Chinese calligraphy via extended possibility-probability distribution method 基于扩展可能性-概率分布法的中国书法计算评价系统

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393393

Dajun Zhou, Jiamin Ge, Ruiqi Wu, F. Chao, Longzhi Yang, Changle Zhou

{"title":"A computational evaluation system of Chinese calligraphy via extended possibility-probability distribution method","authors":"Dajun Zhou, Jiamin Ge, Ruiqi Wu, F. Chao, Longzhi Yang, Changle Zhou","doi":"10.1109/FSKD.2017.8393393","DOIUrl":"https://doi.org/10.1109/FSKD.2017.8393393","url":null,"abstract":"Robotic calligraphy has became a popular research topic in robotics. Therefore, a computational calligraphy evaluation system is required to access the quality of robotic writing results. This paper applies three types of feature criteria, derived from Chinese calligraphy theories, to extract features of Chinese characters from Chinese Calligraphy textbooks. Then, the Possibility-Probability Distribution method deals with these extracted features, so as to obtain the feature distribution of quality handwriting characters. The Possibility-Probability Distribution method uses the extracted features to automatically build an interior-outer-set computational model based on information diffusion theory. When the computational model is established, each Chinese character, written by a robot, is also extracted to three features; then, the computational model estimates each character's evaluation value. The experimental results demonstrate that the proposed method successfully produces an interior-outer-set computational model from Chinese calligraphy books. In particular, the model is able to generate an evaluation result for each character written by a robot system. To check the validation of the computational model, these characters are also evaluated by human experts. The comparison shows that the evaluation results of human experts are very similar to that of the computational model.","PeriodicalId":236093,"journal":{"name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115990012","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

Robust lip feature detection in facial images 人脸图像的鲁棒唇特征检测

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) Pub Date : 2017-07-29 DOI: 10.1109/FSKD.2017.8393389

Binh T. H. Nguyen, Tran Vu Hieu, Bui Ngoc Dung

引用次数: 1