2016 22nd International Conference on Automation and Computing (ICAC)最新文献_第5页

The framework for efficient passphrase-based multifactor authentication in cloud computing 云计算中基于密码短语的高效多因素身份验证框架

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604891

Faisal Rehman, Sanagoo Akram, M. A. Shah

引用次数: 5

Understanding software reengineering requirements for cloud-oriented service architecture 了解面向云的服务架构的软件再造需求

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604893

S. Zheng, Xin Zuo, Hualong Yu, Hongji Yang, Jifeng Shen

引用次数: 0

The application of BPNN based on improved PSO in main steam temperature control of supercritical unit 基于改进粒子群算法的bp神经网络在超临界机组主汽温控制中的应用

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604916

Yuzhen Sun, Jiang Gao, H. Zhang, D. Peng, Liqin

引用次数: 3

Critical analysis of the eigenfilter method for the design of FIR filters and wideband beamformers 特征滤波器法在FIR滤波器和宽带波束形成器设计中的关键分析

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604970

Ahsan Raza, W. Liu

引用次数: 2

A Majority Voting Goal Based technique for Requirement Prioritization 基于多数投票目标的需求优先级划分技术

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604958

R. M. Liaqat, Mudassar Adeel Ahmed, F. Azam, Bilal Mehboob

引用次数: 8

Off-line signature verification based on a new symbolic representation and dynamic time warping 基于新的符号表示和动态时间规整的离线签名验证

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604903

Xinxin Yao, Hua-Liang Wei

{"title":"Off-line signature verification based on a new symbolic representation and dynamic time warping","authors":"Xinxin Yao, Hua-Liang Wei","doi":"10.1109/IConAC.2016.7604903","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604903","url":null,"abstract":"Handwritten signature verification is a classical technology. Which uses features extracted from signatures. The purpose of signature verification is to identify whether a testing signature image is the same as a template. In this study, a new off-line signature verification method based on symbolic representation and dynamic time warping is proposed. In the proposed symbolic representation, the distances between symbols are defined according to the average value of each segment rather than the distance calculated based on Gaussian distribution, which is used in traditional symbolic representations. The proposed dynamic time warping (DTW) method is used to detect the optimal path and an optimal verification result can then be obtained by comparing the fitting errors of all matching paths. To demonstrate the performance the proposed approach, the following experiment is carried out: firstly, a signature image was created by a person and this is used as the template. Secondly, a total of 100 signature images written by the same person were collected, and the false rejected rate (FRR) and false acceptance rate (FAR) are calculated using the proposed method. Thirdly, a total of 100 signature images written by 100 different people were collected, based on which the false acceptance rate is calculated. The experimental results show that the performance of the proposed method is very promising, and the FRR and FAR values for the two group tests are 3% and 2% respectively.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125642293","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: 7

Simulation based evaluation of DDH-MAC protocol for Cognitive Radio Networks 认知无线网络中基于仿真的DDH-MAC协议评估

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604972

Muhammad Salman, Muhammad Asif Aziz, M. A. Shah

引用次数: 2

A computational intelligence based dislocation recognition during molecular dynamics simulation 分子动力学模拟中基于计算智能的位错识别

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604923

Jianfeng Huang, D. Mcglinchey, Yuanxin Luo, Yi Chen

引用次数: 1

Survey on security threats of smartphones in Internet of Things 物联网中智能手机的安全威胁调查

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604979

M. Khan, M. A. Shah

引用次数: 17

Application of Evidential Reasoning rules to identification of asthma control steps in children 证据推理规则在儿童哮喘控制步骤识别中的应用

2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604960

Huaying Zhu, Jianbo Yang, Dongling Xu, Cong Xu

{"title":"Application of Evidential Reasoning rules to identification of asthma control steps in children","authors":"Huaying Zhu, Jianbo Yang, Dongling Xu, Cong Xu","doi":"10.1109/IConAC.2016.7604960","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604960","url":null,"abstract":"The UK is one of these countries in Europe, which have the highest death rate from asthma, and the rules to identify asthma control steps are vague in the current official guideline of asthma management. In this research, diagnosis rules on asthma control steps are developed to supplement the current guideline and to assist patients to monitor and manage their asthma on daily basis. The main challenge of developing the rules is missing values. Although the data examined have prodigious volumes of records for patients, no one have all and different patients have different information recorded. The large proportion of missing values lead to comparatively limited powers of some techniques like Decision Tree Analysis, Logistic Regression, ANN, Bayes' Rule and SVM. This research explores the Evidential Reasoning (ER) rule to develop prognostic rules for asthma control steps. ER is prior-free probabilistic inference and has not been applied to disease diagnosing and monitoring. The results are represented as probability distributions on asthma control steps given any combination of evidence, even if some combinations are not recorded in the current database. In practice, it could help clinicians to identify asthma control steps of patients, prescribe corresponding treatments, and monitor the effectiveness of the treatment and the progress of patients in asthma control management.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122690485","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: 4