2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)最新文献_第5页

A Multivariable Coordinated Equalization Scheme Based on the Energy Bus Equalization Network for Lithium Ion Battery Packs 基于能量总线均衡网络的锂离子电池组多变量协调均衡方案

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632618

Yu-liang Li, Feng Yang, P. Tang, Da-song Wang

引用次数: 0

Outsourced Attribute-Based Signcryption in the Cloud Computing 云计算中基于属性的外包签名加密

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632616

W. Hundera Negalign, H. Xiong, A. Assefa Addis, Y. Gemechu Ashenafi, Dagmawit. M Geresu

{"title":"Outsourced Attribute-Based Signcryption in the Cloud Computing","authors":"W. Hundera Negalign, H. Xiong, A. Assefa Addis, Y. Gemechu Ashenafi, Dagmawit. M Geresu","doi":"10.1109/ICCWAMTIP.2018.8632616","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632616","url":null,"abstract":"An Attribute-Based Signcryption is a natural extension of attribute-based encryption and attribute-based signature where we have the message confidentiality and authenticity together. However, due to the high expressiveness of ABE policies the computational complexities of ABE key issuing and decryption are getting prohibitively high and the heavy computational cost is required during the signing in existing work of ABS which grows linearly with the size of the predicate formula. This presents a significant challenge for resource-limited users (such as mobile devices)to perform such heavy computation independently. In order to solve the above challenge, we propose a new outsourced attribute based signcryption scheme which supports both outsourced key issuing and decryption in ABE and reduce the signing computational overhead at user side in ABS and also it is used to outsource the partial verification to reduce computational overload to the receiver side. We formally prove the security of the newly proposed scheme in the random oracle model.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839343","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: 5

The Correlations Among World Development Indicators 世界发展指标之间的相关性

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632595

Dan Yang, Jiajun Xian

引用次数: 3

Power Distribution Simulation of Composite Power Supply Based on Fuzzy Control 基于模糊控制的复合电源功率分布仿真

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632615

Zi-Qiang Xu, Haokun Guo, M. Wu, Yunhui Yang, Z. Yuan

引用次数: 0

An Improved Framework Called Du++ Applied to Brain Tumor Segmentation 改进的du++框架在脑肿瘤分割中的应用

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632559

Fujuan Chen, Yi Ding, Zhixing Wu, Dongyuan Wu, Jinmei Wen

引用次数: 7

Comparative Analysis of the Classification Performance of Machine Learning Classifiers and Deep Neural Network Classifier for Prediction of Parkinson Disease 机器学习分类器与深度神经网络分类器在帕金森病预测中的分类性能比较分析

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632613

Amin Ul Haq, Jianping Li, Muhammad Hammad Memon, Jalaluddin Khan, Salah Ud Din, IJAZ AHAD, Ruinan Sun, Zhilong Lai

{"title":"Comparative Analysis of the Classification Performance of Machine Learning Classifiers and Deep Neural Network Classifier for Prediction of Parkinson Disease","authors":"Amin Ul Haq, Jianping Li, Muhammad Hammad Memon, Jalaluddin Khan, Salah Ud Din, IJAZ AHAD, Ruinan Sun, Zhilong Lai","doi":"10.1109/ICCWAMTIP.2018.8632613","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632613","url":null,"abstract":"The accurate diagnosis of Parkinson disease specifically in its initial stages is extremely complex and time consuming. Thus the accurate and efficient diagnosis of Parkinson disease has been a significant challenge for medical experts and researchers. In order to tackle the accurate diagnosis of Parkinson disease issue we proposed machine learning and deep neural networks based non-invasive prediction system for accurately and on time diagnosis of Parkinson disease. In the development of the system machine learning predictive models such as support vector machine, logistic regression and deep neural network were used for people with Parkinson disease and healthy people classification. The data set was splits into 70% for training purpose and 30% for testing. Furthermore, performance evaluation metrics such as classification accuracy, sensitivity, specificity and Matthews's correlation coefficient were utilized for model performance evaluation. The Parkinson disease dataset of 23 attributes and 195 instances available on UCI machine learning repository was used for testing of the proposed system. Through our experimental results analysis shows that the proposed system classified the Parkinson disease and healthy people effectively. We also investigated that deep neural performance of classification was excellent as compared to traditional machines learning classifiers. These finding suggest that the proposed diagnosis system could be used to accurately predict Parkinson disease.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123934620","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: 42

Modeling of Blockchain Based Systems Using Queuing Theory Simulation 基于区块链的系统建模使用排队理论模拟

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632560

R. A. Memon, Jianping Li, Junaid Ahmed, Asif Khan, M. Nazir, M. Mangrio

引用次数: 18

A Novel Automatic Modulation Classification for M-Qam Signals Using Adaptive Fuzzy Clustering Model 基于自适应模糊聚类模型的M-Qam信号自动调制分类

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632582

Guoyu Zhang, Xiao Yan, Shinan Wang, Qian Wang

引用次数: 2

A Novel Framework Called HDU for Segmentation of Brain Tumor 一种新的HDU框架用于脑肿瘤的分割

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632590

Zhixing Wu, Fujuan Chen, Dongyuan Wu

引用次数: 5

Comparision of Four Machine Learning Techniques for the Prediction of Prostate Cancer Survivability 四种机器学习技术预测前列腺癌生存能力的比较

2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2018-12-01 DOI: 10.1109/ICCWAMTIP.2018.8632577

Huaiyu Wen, Sufang Li, Wei Li, Jianping Li, Chang Yin

引用次数: 10