2015 International Conference on Green Computing and Internet of Things (ICGCIoT)最新文献_第9页

A novel cluster head selection scheme using fuzzy logic in wireless sensor networks 一种基于模糊逻辑的无线传感器网络簇头选择方法

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380458

Ajai Mishra, Rakesh Kumar, Jitendra Singh

{"title":"A novel cluster head selection scheme using fuzzy logic in wireless sensor networks","authors":"Ajai Mishra, Rakesh Kumar, Jitendra Singh","doi":"10.1109/ICGCIOT.2015.7380458","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380458","url":null,"abstract":"Today WSNs having different important role in different fields. Generally WSNs consist of thousands of small, cost effective, constrains on memory and processing capabilities to sense data periodically from predefined region. Wireless sensor network deployed in war like area or area in which after deployment of wireless sensor network any change is not possible. So, energy consumption is one of the major issue in wireless sensor networks. Whole network lifetime depend on how efficiently energy consume in sensor network. Sensor nodes organization is based some characteristics in a number of sensor node chunks called cluster. And clustering is used to reduce data communication cost in wireless sensor networks. A node called cluster head is responsible for collecting sensed data from cluster node transmitting to the BS. An effective cluster head selection scheme may reduce the energy consumption and prolong the network life time. In this paper, we introduce a novel CH selection scheme using fuzzy logic concepts. It is non probabilistic cluster head selection scheme. In this fuzzy logic based clustering scheme, parameters used to select cluster head are residual energy, base station distance, concentration, local distance.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130372976","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

Fruit disease detection using color, texture analysis and ANN 利用颜色、纹理分析和人工神经网络进行水果病害检测

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380603

A. Awate, Damini Deshmankar, Gayatri Amrutkar, Utkarsha Bagul, Samadhan Sonavane

{"title":"Fruit disease detection using color, texture analysis and ANN","authors":"A. Awate, Damini Deshmankar, Gayatri Amrutkar, Utkarsha Bagul, Samadhan Sonavane","doi":"10.1109/ICGCIOT.2015.7380603","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380603","url":null,"abstract":"Now-a-days as there is prohibitive demand for agricultural industry, effective growth and improved yield of fruit is necessary and important. For this purpose farmers need manual monitoring of fruits from harvest till its progress period. But manual monitoring will not give satisfactory result all the times and they always need satisfactory advice from expert. So it requires proposing an efficient smart farming technique which will help for better yield and growth with less human efforts. We introduce a technique which will diagnose and classify external disease within fruits. Traditional system uses thousands of words which lead to boundary of language. Whereas system that we have come up with, uses image processing techniques for implementation as image is easy way for conveying. In the proposed work, OpenCV library is applied for implementation. K-means clustering method is applied for image segmentation, the images are catalogue and mapped to their respective disease categories on basis of four feature vectors color, morphology, texture and structure of hole on the fruit. The system uses two image databases, one for implementation of query images and the other for training of already stored disease images. Artificial Neural Network (ANN) concept is used for pattern matching and classification of diseases.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320646","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: 61

Design and implementation of an Ad Hoc Network among Android smart devices Android智能设备间Ad Hoc网络的设计与实现

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380671

Tanweer Alam, M. Aljohani

引用次数: 48

A novel cryptographic and steganographic approach for secure cloud data migration 一种用于安全云数据迁移的新型加密和隐写方法

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380486

Ankit Dhamija, V. Dhaka

{"title":"A novel cryptographic and steganographic approach for secure cloud data migration","authors":"Ankit Dhamija, V. Dhaka","doi":"10.1109/ICGCIOT.2015.7380486","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380486","url":null,"abstract":"The flexibility to store unlimited data without any worry about storage limitations available at our disposal and the freedom to use it as and when required from anywhere in the world makes cloud computing the most preferred technology & platform to store and transfer data. Organizations and individual users are now very much comfortable to let their all-important data and software reside on the cloud servers and make themselves free from all the concerns of storage and security. However, every flexibility or benefits comes at a price and cloud computing too is not an exception. The threat of user's privacy, data confidentiality & integrity and data safety are always looming around. Among all of these, the secure transfer of data from organization's premises to the cloud servers is of utmost importance. So many encryption techniques and algorithms have been proposed by researchers in recent times to move data securely from their end to the servers. In this research paper, we propose a design for cloud architecture which ensures secure data transmission from the client's organization to the servers of the Cloud Service provider (CSP). We have used a combined approach of cryptography and steganography because it will provide a two way security to the data being transmitted on the network. First, the data gets converted into a coded format through the use of encryption algorithm and then this coded format data is again converted into a rough image through the use of steganography. Moreover, steganography also hides the existence of the message, thereby ensuring that the chances of data being tampered are minimal.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129128369","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

Comparative analysis of contrast enhancement techniques on different images 不同图像对比度增强技术的对比分析

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380422

D. Raj, Pushpa Mamoria

引用次数: 5

Role of Steganography in Big Data 隐写术在大数据中的作用

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380709

Pooja, Surendra Yadav, Brahmdutt Bohra, Lakhita

引用次数: 1

A review paper on data preprocessing: A critical phase in web usage mining process 数据预处理:web使用挖掘过程中的关键阶段

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380517

S. Dwivedi, Bhupesh Rawat

引用次数: 28

A novel approach to enhance security in WEP 一种增强WEP安全性的新方法

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380532

A. Garg

引用次数: 1

Facial components extraction and expression recognition in static images 静态图像中人脸成分提取与表情识别

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380558

Mameeta Pukhrambam, A. Das, Ashim Saha

引用次数: 2

Static code analysis and detection of multiple malicious Java applets using SVM 静态代码分析和检测多个恶意Java小程序使用SVM

2015 International Conference on Green Computing and Internet of Things (ICGCIoT) Pub Date : 2015-10-08 DOI: 10.1109/ICGCIOT.2015.7380711

Sapana Y. Salunkhe, T. Pattewar

引用次数: 3