2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)最新文献_第2页

Baseline drift correction and heart rate estimation using Histogram technique 基于直方图技术的基线漂移校正和心率估计

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071876

A. Dutta, Biswajit Kar

引用次数: 0

Area efficient dataflow hardware design of SAO filter for HEVC HEVC中SAO滤波器的面积高效数据流硬件设计

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071857

Kaustubh Shukla, B. Swamy, P. Rangababu

引用次数: 3

Building a low cost solution using wireless sensor network for agriculture application 建立一个低成本的解决方案，利用无线传感器网络的农业应用

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071865

A. Mondal, I. S. Misra, S. Bose

{"title":"Building a low cost solution using wireless sensor network for agriculture application","authors":"A. Mondal, I. S. Misra, S. Bose","doi":"10.1109/IESPC.2017.8071865","DOIUrl":"https://doi.org/10.1109/IESPC.2017.8071865","url":null,"abstract":"In many countries around the globe improper management of water resources for agriculture is one of the main issues for failure to crop yield. Hence there is a demand of water management system for agriculture which will maximize the crop yield. In this paper a novel approach is made to design and fabricate a closed-loop control system for soil-moisture monitoring and controlling. It is achieved through deployment of proposed Wireless Sensor Network (WSN) model in agriculture field. Since the end users are farmers, the cost of the product holds great importance. In market there are many WSN motes available but they are not application specific. The costs of these motes are much higher and beyond the reach of farmers. Due to this reason we have designed new sensor nodes with the help of Arduino Platform and Raspberry Pi module to minimize the cost of entire product. Selection of hardware component, firmware development, integration and field implementation, testing and optimization are the processes that have been followed to develop the product. The benefit of such design is to control all desired parameters for WSN according to own application requirement that sometimes is not achievable from the marketed product.","PeriodicalId":383252,"journal":{"name":"2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126046863","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: 13

Modelling and simulation of low cost RF energy harvesting system 低成本射频能量收集系统的建模与仿真

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071863

Tapashi Thakuria, H. Singh, T. Bezboruah

引用次数: 2

Fractal image compression with optimized domain pool size 分形图像压缩与优化域池大小

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071894

Vijayshri Chaurasia, Rakesh Kumar Gumasta, Yashwant Kurmi

引用次数: 4

Design and testbed implementation of an energy efficient clustering protocol for WSN 无线传感器网络节能聚类协议的设计与试验台实现

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071864

Sreya Ghosh, I. S. Misra

{"title":"Design and testbed implementation of an energy efficient clustering protocol for WSN","authors":"Sreya Ghosh, I. S. Misra","doi":"10.1109/IESPC.2017.8071864","DOIUrl":"https://doi.org/10.1109/IESPC.2017.8071864","url":null,"abstract":"The relevancy of wireless sensor networks (WSNs) has developed enormously in the last decade. Sensors nodes are energy constraints devices. For the sustainability of sensor networks energy optimization is the prime challenge for researchers which can be achieved by efficient design of clustering routing protocols. LEACH is one of the most renowned hierarchical routing protocols which prepare the fields for many other routing protocols for WSN. An enhanced version of LEACH is the EEEAC protocol which is an adaptive clustering based on residual energy of each node and generated uniform cluster heads over the network. Unlike EEEAC which considers unique identification of subarea code, for locating the nodes position in this paper we use the threshold level of mean link quality of sensor node for sub-area division. This process reduces the cost complexity and size of sensor nodes and non-functioning of GPS within indoor environment for area division. The significant contribution of this work lies in the real test bed implementation of both LEACH and our proposed model under SENSEnuts. Network stability and battery consumption are evaluated practically which shows that the modified EEEAC (mEEEAC) is the more energy efficient enhancing network lifetime.","PeriodicalId":383252,"journal":{"name":"2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564830","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

Discriminative feature selection for breast abnormality detection and accurate classification of thermograms 乳腺异常检测的判别特征选择及热图的准确分类

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071861

Usha Rani Gogoi, M. Bhowmik, A. Ghosh, D. Bhattacharjee, Gautam Majumdar

引用次数: 24

Design of Ancilla Invariant and Quantum Cost efficient reversible arithmetic components 辅助不变和量子成本高效可逆算法元件的设计

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071858

H. Jayashree, V. K. Agrawal

引用次数: 0

Sensitivity of carbon nanotube based junctionless ion sensitive field effect transistor (CNTJLISFET) for HfO2 and ZrO2 gate dielectrics: Experimental and theoretical investigation 基于碳纳米管的无结离子敏感场效应晶体管(CNTJLISFET)对HfO2和ZrO2栅极介质的灵敏度:实验和理论研究

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071880

Hiranya Ranjan Thakur, Gaurav Keshwani, J. Dutta

引用次数: 3

Automatic land-cover classification using semi-supervised multilayer perceptron for analyzing remotely sensed images 基于半监督多层感知器的遥感影像土地覆盖自动分类

2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) Pub Date : 2017-04-01 DOI: 10.1109/IESPC.2017.8071860

Shounak Chakraborty, Sunit Kumar Adhikary, M. Roy

{"title":"Automatic land-cover classification using semi-supervised multilayer perceptron for analyzing remotely sensed images","authors":"Shounak Chakraborty, Sunit Kumar Adhikary, M. Roy","doi":"10.1109/IESPC.2017.8071860","DOIUrl":"https://doi.org/10.1109/IESPC.2017.8071860","url":null,"abstract":"In this article, a land-cover classification technique is proposed using semi-supervised Multilayer Perceptron (MLP) where only a few labeled samples are available to train the classifier. Here, the MLP initially trained using a few labeled samples is used to predict the class labels of the unlabeled samples to obtain soft class labels. The soft class labels of each unlabelled samples are boosted with respect to that of their k nearest neighbors. This is done to exploit the spatial relationship among the patterns. Finally re-training for MLP is carried out iteratively by using the available labeled samples along with the selected samples from the most confidently predicted ones. The retraining continues until the prediction values are significantly stable across iterations. Here a differential weighted mean of k neighborhood is used for boosting of soft class label and a semi-automatic threshold selection algorithm is investigated to identify the most confidently predicted samples. To assess the effectiveness of the proposed methodology, experiments on land-cover classification are conducted on patterns from Landsat8 satellite images for two different geographical regions. The obtained results outperform the corresponding supervised strategy under the scenario of labeled data scarcity.","PeriodicalId":383252,"journal":{"name":"2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124784372","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: 1