International Journal of Intelligent Computing and Cybernetics最新文献_第10页

Posture Recognition and Imitation using Haar Wavelet Transform and Neural Networks 基于Haar小波变换和神经网络的姿态识别与模仿

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2018-12-01 DOI: 10.6025/jic/2018/9/4/133-143

J. Khan, M. Mahmood

引用次数: 2

Mining Periodic Patterns from Non-binary Transactions 从非二进制事务中挖掘周期模式

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2018-12-01 DOI: 10.6025/jic/2018/9/4/144-156

Jhimli Adhikari

引用次数: 0

An Enhanced Comparative Assessment of Ensemble Learning for Credit Scoring 信用评分集成学习的强化比较评估

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2018-10-01 DOI: 10.6025/jic/2019/10/1/15-33

Youssef Tounsi, L. Hassouni, H. Anoun

{"title":"An Enhanced Comparative Assessment of Ensemble Learning for Credit Scoring","authors":"Youssef Tounsi, L. Hassouni, H. Anoun","doi":"10.6025/jic/2019/10/1/15-33","DOIUrl":"https://doi.org/10.6025/jic/2019/10/1/15-33","url":null,"abstract":"One of the most important aspects of financial risk is credit risk management. Effective credit rating models are crucial for the credit institution in assessing credit applications, they have been widely studied in the field of statistics and machine learning. Given that small improvements in credit rating systems can generate significant profits, any improvement is of high interest to banks and financial institutions. The ensemble methods are a set of algorithms whose individual decisions are combined to perform classification tasks. In this work, we propose an enhanced experimental comparative study of five ensemble methods associated with seven base classifiers using six public credit scoring datasets. Four popular evaluation metrics, including area under the curve (AUC), accuracy, false positive rate (FPR) and Time taken to build the model, are employed to measure the performance of models. The experimental results and statistical tests show that Pegasos model has a better overall performance than the other methods analyzed her for Boosting and Credal Decision Tree (CDT) model has a better overall performance than the other algorithms in the case of Bagging, Random Subspace, DECORATE and Rotation Forest.","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"2013 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87740259","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

Automatic Verification of Communicative Commitments using Reduction 使用约简法自动验证交际承诺

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2018-09-01 DOI: 10.6025/JIC/2018/9/3/114-128

Mofleh Al-Diabat, Faisal Al-Saqqar, Ashraf Al-Saggar

{"title":"Automatic Verification of Communicative Commitments using Reduction","authors":"Mofleh Al-Diabat, Faisal Al-Saqqar, Ashraf Al-Saggar","doi":"10.6025/JIC/2018/9/3/114-128","DOIUrl":"https://doi.org/10.6025/JIC/2018/9/3/114-128","url":null,"abstract":"In spite of the fact that modeling and verification of the Multi-Agent Systems (MASs) have been since long under study, there are several related challenges that should still be addressed. In effect, several frameworks have been established for modeling and verifying the MASs with regard to communicative commitments. A bulky volume of research has been conducted for defining semantics of these systems. Though, formal verification of these systems is still unresolved research problem. Within this context, this paper presents the CTL com that reforms the CTLC, i.e., the temporal logic of the commitments, so as to enable reasoning about the commitments and fulfillment. Moreover, the paper introduces a fully-automated method for verification of the logic by means of trimming down the problem of a model that checks the CTLcom to a problem of a model that checks the GCTL*, which is a generalized version of the CTL* with action formulae. By so doing, we take advantage of the CWB-NC automata-based model checker as a tool for verification. Lastly, this paper presents a case study drawn from the business field, that is, the NetBill protocol, illustrates its implementation, and discusses the associated experimental results in order to illustrate the efficiency and effectiveness of the suggested technique. Keywords: Multi-Agent Systems, Model Checking, Communicative commitment's, Reduction.","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"13 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90507972","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 Hybrid Feature Selection Algorithm Based on Information Gain and Sequential Forward Floating Search 一种基于信息增益和顺序前向浮动搜索的混合特征选择算法

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2018-09-01 DOI: 10.6025/JIC/2018/9/3/93-101

Jianli Ding, Li Fu

引用次数: 22

Interval Intuitionistic Trapezoidal Fuzzy Prioritized Aggregating Operators and their Application to Multiple Attribute Decision Making 区间直觉梯形模糊优先聚合算子及其在多属性决策中的应用

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2018-09-01 DOI: 10.6025/jic/2018/9/3/102-113

Xian-Ping Jiang

引用次数: 0

A Credential Data Privacy Preserving in web Environment using Secure Data Contribution Retrieval Algorithm 基于安全数据贡献检索算法的web环境下凭证数据隐私保护

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2017-06-30 DOI: 10.22266/IJIES2017.0630.41

K. Umapathy, Neelu Khare

{"title":"A Credential Data Privacy Preserving in web Environment using Secure Data Contribution Retrieval Algorithm","authors":"K. Umapathy, Neelu Khare","doi":"10.22266/IJIES2017.0630.41","DOIUrl":"https://doi.org/10.22266/IJIES2017.0630.41","url":null,"abstract":"Preservation of privacy is a significant aspect of data mining and as the secrecy of sensitive information must be maintained while sharing the data among different untrusted parties. There are many application is suffering from vulnerable, data leakage, data misuse, and sensitive data disclosure issues. To protect the privacy of sensitive data without losing the usability of data, various techniques have been used in privacy-preserving data mining (PPDM). Some of the approaches are available to maintain the tight privacy, but they fail to minimize the execution time and error rate. The main objective of the article is to contribute and retrieve the data with minimal classification error and execution time with enhanced privacy. To overcome the issues, the paper introduces the Secure Data Contribution Retrieval algorithm (SDCRA) to fulfill the current issues. Proposed algorithms define a privacy policy and arrange the security based on requirements. This design applies the privacy based on the compatibility of applications. This approach is capable of satisfying the accuracy constraints for multiple datasets. It also considers the efficient data extraction with a good ranking of attributes in tables. Here, proposed SDCRA is compared with existing approaches namely as Perturbation, singular value decomposition (SVD), Singular Value Decomposition data Perturbation (SVD+DP), K-anonymity with Decision Tree (KA+DT)[] for Cancer, HIV, Diabetes dataset. Based on experimental result proposed approach performs well regarding success rate, error rate and system execution time compare than existing methods. Proposed approach improves Success Rate 1.83% reduces the Error Rate 2.33% and minimizes the system execution time 2 seconds.","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"8 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85625296","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

Observer-based finite-time sliding mode control for reentry vehicle 基于观测器的再入飞行器有限时间滑模控制

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2015-11-09 DOI: 10.1108/IJICC-05-2015-0016

X. Liu, Xiaohuan Ren, Y. Sheng

引用次数: 0

Situation reasoning for an adjustable autonomy system 可调自主系统的情境推理

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2012-06-01 DOI: 10.1108/17563781211231552

Yin Li-li, Zhang Rubo, Gu Hengwen

引用次数: 10

Binarization of pre-filtered historical manuscripts images 预滤波历史手稿图像的二值化

IF 4.3

International Journal of Intelligent Computing and Cybernetics Pub Date : 2009-01-01 DOI: 10.1108/17563780910939282

Nikolaos Ntogas, D. Ventzas

{"title":"Binarization of pre-filtered historical manuscripts images","authors":"Nikolaos Ntogas, D. Ventzas","doi":"10.1108/17563780910939282","DOIUrl":"https://doi.org/10.1108/17563780910939282","url":null,"abstract":"Purpose – The purpose of this paper is to introduce an innovative procedure for digital historical documents image binarization based on image pre-processing and image condition classification. The estimated results for each class of images and each method have shown improved image quality for the six categories of document images described by their separate characteristics. Design/methodology/approach – The applied technique consists of five stages, i.e. text image acquisition, image preparation, denoising, image type classification in six categories according to image condition, image thresholding and final refinement, a very effective approach to binarize document images. The results achieved by the authors’ method require minimal pre-processing steps for best quality of the image and increased text readability. This methodology performs better compared to current state-of-the-art adaptive thresholding techniques. Findings – An innovative procedure for digital historical documents image binarization based on image pre-processing, image type classification in categories according to image condition and further enhancement. This methodology is robust and simple, with minimal pre-processing steps for best quality of the image, increased text readability and it performs better compared to available thresholding techniques. Research limitations/implications – The technique consists of limited but optimized pre-processing sequential steps, and attention should be given in document image preparation and denoising, and on image condition classification for thresholding and refinement, since bad results in a single stage corrupt the final document image quality and text readability. Originality/value – The paper contributes in digital image binarization of text images suggesting a procedure based on image preparation, image type classification and thresholding and image refinement with applicability on Byzantine historical documents.","PeriodicalId":45291,"journal":{"name":"International Journal of Intelligent Computing and Cybernetics","volume":"2 1","pages":"148-174"},"PeriodicalIF":4.3,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/17563780910939282","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62171651","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