2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)最新文献

Autonomous robot controller using bitwise gibbs sampling 采用位吉布斯采样的自主机器人控制器

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-22 DOI: 10.1109/ICCI-CC.2016.7862096

Rémi Canillas, R. Laurent, M. Faix, D. Vaufreydaz, E. Mazer

引用次数: 5

Persuasive communication from a military force to local civilians: A PsyOps system based on the Elaboration Likelihood Model 从军队到当地平民的说服性沟通:基于精化可能性模型的心理战系统

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862029

Jean-Yves Bergier, Colette Faucher

引用次数: 2

Fractal based adaptive boosting algorithm for cognitive detection of computer malware 基于分形的计算机恶意软件认知检测自适应增强算法

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862074

Muhammad Salman Khan, S. Siddiqui, R. McLeod, K. Ferens, W. Kinsner

{"title":"Fractal based adaptive boosting algorithm for cognitive detection of computer malware","authors":"Muhammad Salman Khan, S. Siddiqui, R. McLeod, K. Ferens, W. Kinsner","doi":"10.1109/ICCI-CC.2016.7862074","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862074","url":null,"abstract":"Host Based Intrusion Detection Systems (HIDS) are gaining traction in discovering malicious software inside a host operating system. In this paper, the authors have developed a new cognitive host based anomaly detection system based on supervised AdaBoost machine learning algorithm. Particularly, information fractal dimension based approach is incorporated in the original AdaBoost machine learning algorithm to assign higher weight to the classifier that estimates wrong hypothesis. An agent based host sensor is developed that continuously gathers and extracts network profile of all the host processes and the modules spawned by each process of a Microsoft Windows 7 operating system. The main contributions of this paper are that a malware testing sandbox is developed using Microsoft native APIs and an information fractal (cognitive) based AdaBoost algorithm is designed and developed. Our results on empirical data set shows that the malware detection performance of the proposed algorithm outperforms original AdaBoost algorithm in detecting positives including the reduction of false negatives.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124818780","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: 11

Image-to-image face recognition using Dual Linear Regression based Classification and Electoral College voting 基于双线性回归分类和选举人团投票的图像对图像人脸识别

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862022

Y. Wang, Liang Chen

引用次数: 1

Knowledge-oriented society: The problem of surviving the permanently uncertain future and the Requirement of Permanence 知识社会:在永远不确定的未来中生存的问题和对永恒的要求

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862047

H. Ching

{"title":"Knowledge-oriented society: The problem of surviving the permanently uncertain future and the Requirement of Permanence","authors":"H. Ching","doi":"10.1109/ICCI-CC.2016.7862047","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862047","url":null,"abstract":"Mankind has inherited the earth. But, up to now there is little hint on the meaning and the purpose of this inheritance. Science, thus far, has explained only a tiny fraction. The real issue is identified as the problem of surviving the permanently uncertain future. Technically, the problem can be called the Requirement of Permanence. All the knowledge discoveries of the past, the present, and the future and all the wisdom of the universe accumulated from the infinite past seem to be aimed at satisfying this Requirement of Permanence. And, by the best account, merely looking at the living system on earth, the problem seems to have been solved, as far as the universe in concerned. However, science, dealing with certainty, has missed the essence of the problem, which is solving the permanently uncertain future. The solution is expanded and further explained by Post-Science Social Science based on the solution of value, Post-Science Life or Computer Science based on the solution of complete automation, and Post-Creational Fuzzy Logic for describing the fuzzy reality resulting from the sacrifice of precision in the expansion of the range of tolerance of error of a creation for surviving all the possibilities of the uncertain future. The same solution for solving the problem of the uncertain future is used for solving the problems of financial crises and complexity crises, which will plague our society in the Age of Abundance. Post-science promotes the concept of a future cooperative society of abundance guided by knowledge. A knowledge-oriented, not power or money-oriented, society is needed to solve the problem of surviving the uncertain future permanently. Only knowledge will give mankind the right to inherit the earth and to connect to the wisdom of the universe.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122634320","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

Light-adaptive face registration based on drivers' video 基于驾驶员视频的光适应人脸配准

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862062

Zuojin Li, Jun Peng, Liukui Chen, S. S. Tirumala

引用次数: 1

Bio-inspired cognitive model for sustained attention 持续注意力的生物启发认知模型

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862092

Luis Martin, Gustavo Torres, Gabriela E. López-Tolsa

引用次数: 5

Construction of linguistic variables based on rule induction and concept hierarchy 基于规则归纳法和概念层次的语言变量构建

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862086

S. Tsumoto, S. Hirano

引用次数: 0

Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques 基于局部能量的形状直方图特征提取和认知机器学习技术的肺癌检测

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862060

S. Wajid, A. Hussain, Kaizhu Huang, W. Boulila

{"title":"Lung cancer detection using Local Energy-based Shape Histogram (LESH) feature extraction and cognitive machine learning techniques","authors":"S. Wajid, A. Hussain, Kaizhu Huang, W. Boulila","doi":"10.1109/ICCI-CC.2016.7862060","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2016.7862060","url":null,"abstract":"The novel application of Local Energy-based Shape Histogram (LESH) feature extraction technique was recently proposed for breast cancer diagnosis using mammogram images [22]. This paper extends our original work to apply the LESH technique to detect lung cancer. The JSRT Digital Image Database of chest radiographs is selected for research experimentation. Prior to LESH feature extraction, we enhanced the radiograph images using a contrast limited adaptive histogram equalization (CLAHE) approach. Selected state-of-the-art cognitive machine learning classifiers, namely extreme learning machine (ELM), support vector machine (SVM) and echo state network (ESN) are then applied using the LESH extracted features for efficient diagnosis of correct medical state (existence of benign or malignant cancer) in the x-ray images. Comparative simulation results, evaluated using the classification accuracy performance measure, are further bench-marked against state-of-the-art wavelet based features, and authenticate the distinct capability of our proposed framework for enhancing the diagnosis outcome.","PeriodicalId":135701,"journal":{"name":"2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131448460","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: 12

A user authentication protocol combined with trust model and ECC for wireless sensor networks 一种结合信任模型和ECC的无线传感器网络用户认证协议

2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) Pub Date : 2016-08-01 DOI: 10.1109/ICCI-CC.2016.7862076

Tao Liu, Gan Huang, Zheng Xu

引用次数: 2