2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)最新文献_第4页

An analysis of BER comparison of various digital modulation schemes used for adaptive modulation 自适应调制中各种数字调制方案的误码率比较分析

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807820

M. Rajesh, B. Shrisha, N. Rao, H. Kumaraswamy

{"title":"An analysis of BER comparison of various digital modulation schemes used for adaptive modulation","authors":"M. Rajesh, B. Shrisha, N. Rao, H. Kumaraswamy","doi":"10.1109/RTEICT.2016.7807820","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807820","url":null,"abstract":"In this paper, a comparative analysis of BER performance of various higher order digital modulation techniques for channel utilization is proposed and the analysis are carried out with SNR as the reference parameter. This performance analysis yields to adaptive modulation technique which can be used to attain high spectral efficiency by modulating the signal at higher order modulation schemes based on channel state information (CSI) from the receiver. Signal over AWGN channel is assumed for the analysis. To achieve lower BER values for a specific SNR, techniques to alter signal characteristics like pulse shaping filters, matching filters and convolution encoding are applied and analysis are carried out. An observation from the above analysis produces lower BER. For 256-QAM at SNR of 20, BER of 4.76×10-3 and grey coded BER of 3.83×10-4 is obtained. Highest possible modulation technique is selected with lower BER obtained. Thus, spectral efficiency which is the prime objective of the proposed paper is achieved. The above results are computed and simulated using MATLAB.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"7 1","pages":"241-245"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79358899","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: 17

FPGA implementation of combined compression & denoising scheme for remote sensing images 遥感图像压缩降噪组合方案的FPGA实现

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807850

P. Sendamarai, M. N. Giriprasad

引用次数: 4

A swarm intelligence technique to enhance network lifetime in WSN 一种提高无线传感器网络生存期的群体智能技术

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7808093

K. A. Sharada, Siddaraju

{"title":"A swarm intelligence technique to enhance network lifetime in WSN","authors":"K. A. Sharada, Siddaraju","doi":"10.1109/RTEICT.2016.7808093","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808093","url":null,"abstract":"A Wireless Sensor Network (WSN) is a field of interest for researchers due to its monitoring capability and giving the information which helps in predicting the future scenarios like in health care system, monitoring or tracking etc. Sensor nodes are very small and powerful devices which are continuously sense the data and send it to the base station (Sink) which generates the results based on the details received from sensor nodes. Sensor nodes are battery constrained, they use a lot of energy for transmitting the data and die very quickly. To save the energy of sensor node and make WSN more reliable here authors proposed a clustering mechanism. In clustering mechanism large network divided into small clusters. Each cluster has its own cluster head, cluster members communicate with cluster head and cluster head collects all the data from cluster members and send it to the base station. For cluster formation a noble concept is given called adaptive swarm optimization, here authors worked on best previous position and best global position of nodes. Nodes can changes their position as per their best global position from the previous position and based on this lifetime of overall network can be increased. Nodes death rate is decreased as compared with the existing method.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"135 1","pages":"1554-1557"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79584130","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

Performance enhancement of OFDM system by reducing PAPR using DFT spreading technique 利用DFT扩频技术降低PAPR提高OFDM系统性能

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807955

Utpal Das, Silpa Das, Satyam Kumar, Y. Kumar, Seema Singh, D. Nayak

引用次数: 1

Design and implementation of Izhikevich spiking neuron model on FPGA Izhikevich脉冲神经元模型在FPGA上的设计与实现

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807968

S. Murali, J. Kumar, Jayanth Kumar, R. Bhakthavatchalu

{"title":"Design and implementation of Izhikevich spiking neuron model on FPGA","authors":"S. Murali, J. Kumar, Jayanth Kumar, R. Bhakthavatchalu","doi":"10.1109/RTEICT.2016.7807968","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807968","url":null,"abstract":"The elementary processing units in brain are neurons which are connected to each other in many shapes and sizes. A typical neuron can be divided into functionally three distinct parts called Dendrites, Soma and Axon. Dendrites play the role of input device that collect signals from other neurons and transmits them to soma. Soma performs a Non-linear operation, i.e. if input exceeds a certain threshold, an output signal is generated. This output signal is taken over by an output device, the Axon, which delivers the signal to other neurons. This is the basic function of a biological neuron. A biological neuron model which is also known as Spiking Neuron Model is a mathematical description of properties of neuron that is to be designed accurately to describe and predict the biological processes. So there comes the concept of modelling and analysis of neurons. Modelling and analysis of neurons was performed by different researchers on First, Second and Third generation of neurons. The Third generation of neurons are also called as spiking neurons. The focus of this work is to present different types of spiking neurons developed by Izhikevich which mathematically supports the properties and resembles the biological neuron. These mathematical model simulations are done in MATLAB. These spiking neurons are modelled using digital logic circuits in Verilog Hardware Description Language (HDL) and simulated in ModelSIM RTL simulator. The design is then implemented in Xilinx FPGA and checked for the functionality.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"1 1","pages":"946-951"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78212240","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: 3

Detection and prevention of ARP poisoning in dynamic IP configuration 动态IP配置中ARP中毒的检测和预防

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7808030

D. Raviya Rupal, Dhaval Satasiya, H. Kumar, Archit Agrawal

引用次数: 15

Novel design of fast and compact SHA-1 algorithm for security applications 为安全应用设计了快速、紧凑的SHA-1算法

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807963

Ritu Kaur Makkad, A. Sahu

引用次数: 10

Classification of benign and malignant bone lesions on CT imagesusing support vector machine: A comparison of kernel functions 基于支持向量机的CT图像良恶性骨病变分类:核函数的比较

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807941

Rishav Kumar, M. Suhas

引用次数: 7

Design and development of an IOT based wearable device for the safety and security of women and girl children 设计和开发基于物联网的可穿戴设备，以保障妇女和女童的安全

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7808003

A. Jatti, M. Kannan, R M Alisha, P. Vijayalakshmi, Shrestha Sinha

{"title":"Design and development of an IOT based wearable device for the safety and security of women and girl children","authors":"A. Jatti, M. Kannan, R M Alisha, P. Vijayalakshmi, Shrestha Sinha","doi":"10.1109/RTEICT.2016.7808003","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808003","url":null,"abstract":"The aim of this work is to develop a wearable device for the safety and protection of women and girls. This objective is achieved by the analysis of physiological signals in conjunction with body position. The physiological signals that are analyzed are galvanic skin resistance and body temperature. Body position is determined by acquiring raw accelerometer data from a triple axis accelerometer. Acquisition of raw data is then followed by activity recognition which is a process of employing a specialized machine learning algorithm. Real-time monitoring of data is achieved by wirelessly sending sensor data to an open source Cloud Platform. Analysis of the data is done on MATLAB simultaneously. This device is programmed to continuously monitor the subject's parameters and take action when any dangerous situation presents itself. It does so by detecting the change in the monitored signals, following which appropriate action is taken by means of sending notifications/alerts to designated individuals.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"2021 1","pages":"1108-1112"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91317667","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: 46

Passive copy-move forgery detection using SIFT, HOG and SURF features 被动复制移动伪造检测使用SIFT, HOG和SURF的特点

2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) Pub Date : 2016-05-20 DOI: 10.1109/RTEICT.2016.7807915

S. Prasad, B. Ramkumar

引用次数: 16