2017 International Conference on Communication, Computing and Digital Systems (C-CODE)最新文献_第5页

Developing high value IoT solutions using AI enhanced ISO 16355 for QFD integrating market drivers into the design of IoT offerings 利用AI增强的ISO 16355 QFD开发高价值物联网解决方案，将市场驱动因素整合到物联网产品的设计中

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918967

Kim Stansfield, F. Azmat

引用次数: 5

Performance evaluation of matrix multiplication in Virtual Machine 虚拟机中矩阵乘法的性能评价

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918929

Asif Muhammad, Muhammad Arshad Islam

引用次数: 1

Statistical analysis of a MIMO channel MIMO信道的统计分析

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918905

Fatima Nasim

引用次数: 0

HEPO: The hepatitis ontology for abductive medical diagnostic systems HEPO:外延医学诊断系统的肝炎本体

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918941

Asma Khan, Azeema Sadia, Sohaib Ahmed, H. Tabassum, M. Khan

引用次数: 1

Outliers classification for mining evolutionary community using Support Vector Machine and Logistic Regression on Azure ML 在Azure ML上使用支持向量机和逻辑回归挖掘进化社区的离群值分类

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918931

Shahi Dost, Sajid Anwer, Faryal Saud, Maham Shabbir

{"title":"Outliers classification for mining evolutionary community using Support Vector Machine and Logistic Regression on Azure ML","authors":"Shahi Dost, Sajid Anwer, Faryal Saud, Maham Shabbir","doi":"10.1109/C-CODE.2017.7918931","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918931","url":null,"abstract":"Evolutionary Community Outliers (ECO) is a type of outlier group in which the average evolutionary behavior of certain objects is different from the same community by some measures. The detection, classification and removal of ECO are a very important and challenging task of data cleaning and preprocessing. ECO is different from the old outlier detection technique, which detect objects that have fairly diverse nature as compared with the community objects. Different outlier detection and removal studies have been presented in the last few years, but there are some limitations due to the individual process at a time. The proposed research approach uses Support Vector Machine (SVM) and Logistic Regression (LR) at the same time to accurately classify, detect and remove the outliers form the Evolutionary community dataset, which is a new technique for outlier detection and removal. We have used Azure Machine Learning (ML) which is the state of the art data processing tool to test our proposed technique on the Forest Fire data of Southern Algarve Portugal to show the result, which gives us very good results on the given data. The accuracy of these outliers' detection and removal is 73–93 percent varying due to the data acquisition process. Proposed technique shows remarkable results in detecting diverse ECO on both real time and temporal datasets.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132177715","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: 2

Vertebra localization and centroid detection from cervical radiographs 颈椎x线片椎体定位和质心检测

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918944

Anum Mehmood, M. Akram, A. Tariq

引用次数: 3

Internet-of-things based smart tracking 基于物联网的智能跟踪

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918899

Ayesha Habib, Hafsa Anam, Warda Anwaar, Hareem Afaq, Y. Amin, H. Tenhunen

引用次数: 4

Factors influencing the Cloud Computing adoption in Higher Education Institutions of Punjab, Pakistan 影响巴基斯坦旁遮普省高等教育机构采用云计算的因素

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918925

M. Tariq, S. Tayyaba, H. Rasheed, M. Ashraf

{"title":"Factors influencing the Cloud Computing adoption in Higher Education Institutions of Punjab, Pakistan","authors":"M. Tariq, S. Tayyaba, H. Rasheed, M. Ashraf","doi":"10.1109/C-CODE.2017.7918925","DOIUrl":"https://doi.org/10.1109/C-CODE.2017.7918925","url":null,"abstract":"Cloud Computing is one of the most important trend and newest area in the field of information technology in which resources (e.g. CPU and storage) can be leased and released by customers through the Internet in an on-demand basis. The adoption of Cloud Computing in Education and developing countries is real an opportunity. Although Cloud computing has gained popularity in Pakistan especially in education and industry, but its impact in Pakistan is still unexplored especially in Higher Education Department. Already published work investigated in respect of factors influencing on adoption of cloud computing but very few investigated said analysis in developing countries. The Higher Education Institutions (HEIs) of Punjab, Pakistan are still not focused to discover cloud adoption factors. In this study, we prepared cloud adoption model for Higher Education Institutions (HEIs) of Punjab, a survey was carried out from 900 students all over Punjab. The survey was designed based upon literature and after discussion and opinions of academicians. In this paper, 34 hypothesis were developed that affect the cloud computing adoption in HEIs and tested by using powerful statistical analysis tools i.e. SPSS and SmartPLS. Statistical findings shows that 84.44% of students voted in the favor of cloud computing adoption in their colleges, while 99% supported Reduce Cost as most important factor in cloud adoption.","PeriodicalId":344222,"journal":{"name":"2017 International Conference on Communication, Computing and Digital Systems (C-CODE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125767416","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: 25

Name spotting over low signal-to-noise ratio (SNR) using Blind Source Separation and Connectionist Temporal Classification 在低信噪比(SNR)下使用盲源分离和连接时间分类的名字识别

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918950

Syed Suleman Abbas Zaidi, Marium Mehboob Ali, Fakhra Aftab, Yusra Shahid, M. Khurram

引用次数: 1

Multimedia sensor networks: Recent trends, research challenges and future directions 多媒体传感器网络:最新趋势、研究挑战和未来方向

2017 International Conference on Communication, Computing and Digital Systems (C-CODE) Pub Date : 2017-03-01 DOI: 10.1109/C-CODE.2017.7918921

Muhammad Noman Hayat, Haroon Khan, Z. Iqbal, Zia Ur Rahman, M. Tahir

引用次数: 7