2017 International Conference on Information Communication and Embedded Systems (ICICES)最新文献_第4页

Comparison of LIFI and WIFI and study of smart meter-survey LIFI与WIFI的比较及智能电表测量的研究

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070715

N. Kumar, Akella Srikanth, Arunangshu Singha, B. Sam

引用次数: 6

The etymology of big data on government processes 政府流程大数据的词源

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070712

M. A. Chakravarthi, O. Srinivas

引用次数: 1

De duplication scalable secure file sharing on untrusted storage in big data 大数据中不可信存储上的重复可扩展安全文件共享

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070763

S. Keerthana, C. Monisha, S. Priyanka, S. Veena

引用次数: 0

Template matching for detection & recognition of frontal view of human face through Matlab 基于Matlab的人脸正面视图检测与识别模板匹配

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070792

Namrata Singh, A. K. Daniel, Pooja Chaturvedi

{"title":"Template matching for detection & recognition of frontal view of human face through Matlab","authors":"Namrata Singh, A. K. Daniel, Pooja Chaturvedi","doi":"10.1109/ICICES.2017.8070792","DOIUrl":"https://doi.org/10.1109/ICICES.2017.8070792","url":null,"abstract":"Human face is an important object in an image database due to its unique features (eyes, mouth, nose etc.) in every human being. The detection & recognition of a face in an image using template matching is one of the profound research interest in the field of image processing. Various approaches have been proposed in the literature to extract the visual facial features based on texture, color, shape, sketch & pose variance etc. for face detection in color images. This paper describes an approach of face detection technique that includes major characteristics such as lightening compensation based on luminance (Y) & chrominance (Cr), Color segmentation, skin-tone statistics & eye-mouth region computation. A template matching algorithm using cross correlation method for locating & recognizing a face has been applied on various face candidates to match the template with right face candidate. Thus, the presented work is divided into three steps: Face detection, Computation of template matching & Face recognition. The performance of given approach has been evaluated on the basis of run time & accuracy. The simulation result shows that the defined model is efficient in terms of accuracy which is 81% and the false alarms are reduced.","PeriodicalId":134931,"journal":{"name":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117165701","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

Sensor based application for malware detection in android OS(Operating System) devices 基于传感器的android OS(操作系统)设备恶意软件检测应用

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070722

B. Rajalakshmi, N. Anusha

引用次数: 2

Energy efficient task synchronisation in reservation-based real-time systems 基于预约的实时系统中的节能任务同步

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070746

R. Raj, S. Jaiswal, P. Chaudhari

引用次数: 0

E-health care data sharing into the cloud based on deduplication and file hierarchical encryption 基于重复数据删除和文件分层加密的电子医疗保健数据共享到云端

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070739

R. Sharon, R. Manoj

{"title":"E-health care data sharing into the cloud based on deduplication and file hierarchical encryption","authors":"R. Sharon, R. Manoj","doi":"10.1109/ICICES.2017.8070739","DOIUrl":"https://doi.org/10.1109/ICICES.2017.8070739","url":null,"abstract":"E-Healthcare system plays a major role in the society. It monitors the health condition and helps in giving appropriate medical treatments. This system aims at gathering and storing patient's details and sharing health related information. It also has high legitimate concerns about patient's privacy and information security. This system minimizes the infrastructural barriers for the developing nations. It also extends healthcare systems to the remote and isolated areas which has limited access to medical technologies, remote health services are provided through telecommunications. Quality of the service and security are added advantage to the system. They collect the real time personal information (PHI) and health problems from patients and transmit them to the healthcare provider for the authorized physicians to decide on the corresponding treatment. They send the PHI in terms of text and image to the cloud, and also the other personal queries related to their medical history. In cloud computing, collected PHI should match the physicians experience to judge the state of the patient and unfortunately, delegating both storage and computation to the untrusted entity would bring a series of security. This is where deduplication comes into play. It is a technique for eliminating duplicate copies of data, and has been widely used in cloud storage to reduce storage space and upload bandwidth. Attribute-based encryption (ABE) has been a preferred encryption technology to solve the challenging problem of security during data sharing in cloud computing. For every file a separate key will be provided, which is to be decrypted for using the file further.","PeriodicalId":134931,"journal":{"name":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114250646","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

An integrated method for feature selection using fuzzy information measure 基于模糊信息测度的综合特征选择方法

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070711

B. Azhagusundari

引用次数: 1

Trustworthy access control for wireless body area networks 无线体域网络的可信访问控制

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070744

M. Sukanya, Kanchi V. Sindhu, G. Gowri, S. Nandhini

引用次数: 5

A novel approach for finding optimal search results from web database using hybrid clustering algorithm 一种利用混合聚类算法从web数据库中寻找最优搜索结果的方法

2017 International Conference on Information Communication and Embedded Systems (ICICES) Pub Date : 2017-02-01 DOI: 10.1109/ICICES.2017.8070713

V. Sabitha, S. Srivatsa

{"title":"A novel approach for finding optimal search results from web database using hybrid clustering algorithm","authors":"V. Sabitha, S. Srivatsa","doi":"10.1109/ICICES.2017.8070713","DOIUrl":"https://doi.org/10.1109/ICICES.2017.8070713","url":null,"abstract":"The Internet provides an excellent extent of useful information that is sometimes arranged for its users, that makes it difficult to extract relevant information from various sources. So that, this paper proposes a hybrid Artificial Bee Colony and Improved K-means bunch algorithmic program provides all types data of data repository and has been terribly successful in dispersive information to users. For the encoded information units to be machine method intelligent, that is crucial for several applications like deep internet information assortment and net comparison searching, they have to be extracted out and allot substantive labels. This paper deals with the automated annotation of Search result records from the multiple internet databases. Search result presents associate automatic annotation approach that initial aligns the info units on a result page into completely different teams specified the info within the same cluster have a similar linguistics. Then for every cluster annotate it from completely different aspects and mixture the various annotations to predict a final annotation label for it. Finally wrapper is mechanically generated by the automated tag matching weight technique.","PeriodicalId":134931,"journal":{"name":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123309983","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