2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)最新文献_第6页

Data trust model for event detection in wireless sensor networks using data correlation techniques 基于数据关联技术的无线传感器网络事件检测数据信任模型

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085701

Karthik N, V. S. Ananthanarayana

{"title":"Data trust model for event detection in wireless sensor networks using data correlation techniques","authors":"Karthik N, V. S. Ananthanarayana","doi":"10.1109/ICSCN.2017.8085701","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085701","url":null,"abstract":"A wireless sensor network (WSN) is a conglomeration of scattered self organized sensor nodes to agreeably monitor the physical and surrounding conditions. These sensor nodes are equipped with limited resources such as memory, processing capability, battery power and transceiver for monitoring, processing and communicating the observed phenomena to make critical decisions with respect to collected data. Evaluating the trustworthiness of data is a primary preprocessing process of event detection in WSN. The trustworthy data which is free from data fault, inaccuracy and inconsistency is used to identify the interesting events and critical decision making in WSN. In this paper, we present our current work on data trust model that focuses on data fault detection, data reconstruction, data quality estimation for reliable event detection in WSN. The aim of this paper is to propose a novel data trust model for harsh environment of WSN to identify the events and strange environmental data behavior. This proposed framework combines different data processing methods through data correlation techniques to mitigate the data security risks of pervasive environments.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"407 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":"127983345","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: 20

A survey paper on modern technologies in fixed-width multiplier 固定宽度乘法器的现代技术综述

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085648

J JENCY RUBIA, G. Kumar

引用次数: 6

Design of pentagon shaped microstrip patch antennawith metamaterialfor multiband application 多波段五边形超材料微带贴片天线的设计

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085658

L. Chandiea, K. Anusudha

引用次数: 1

Vowel classification from imagined speech using sub-band EEG frequencies and deep belief networks 基于子频带EEG频率和深度信念网络的想象语音元音分类

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085710

R. Anandha Sree, A. Kavitha

{"title":"Vowel classification from imagined speech using sub-band EEG frequencies and deep belief networks","authors":"R. Anandha Sree, A. Kavitha","doi":"10.1109/ICSCN.2017.8085710","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085710","url":null,"abstract":"This work has focused on the possibilities of classifying vowels ‘a’, ‘e’, ‘i’, ‘o’, ‘u’ from EEG signals, that has been derived while imagining the vowels, with minimum input features. The EEG signals have been acquired from 5 subjects while imagining and uttering the vowels during a well defined experimental protocol, have been processed and segmented using established signal processing routines. The signals have been segmented under various sub-band frequencies and subjected to Db4 Discrete Wavelet Transform. The various conventional and derived energy based features have been acquired from the sub-band frequency signals, trained and tested using Deep Belief Networks for classifying the imagined vowels. The experiments have been repeated on various electrode combinations. Results obtained from all sub-band frequency based features have shown a good classification accuracy. Further, classification protocol employing features that have been derived from each sub-band frequency has shown that the theta and gamma band frequency features have been more effective with a vowel classification accuracy ranging between 75–100%.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"76 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":"132268727","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: 9

Performance analysis and characterization of 2D photonic crystals — An analytical approach 二维光子晶体的性能分析和表征-一种分析方法

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085738

Minnu Anthrayose, T. Sridarshini, S. Gandhi

引用次数: 1

Online extreme learning machine for handling concept drift and class imbalance problem 在线极限学习机用于处理概念漂移和班级失衡问题

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085690

Dr. B. Vinayagasundaram, R. J. Aarthi, N. Abirami

引用次数: 1

Performance evaluation of beamforming techniques for speech enhancement 语音增强波束形成技术的性能评价

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085647

P. Rakesh, S. Priyanka, T. Kumar

引用次数: 7

Recognising and retrieving the meaning of Thirukkural from speech utterances 从语音话语中识别和检索Thirukkural的意思

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085704

B. Bharathi, G. Sridevi, G. J. Varshitha

{"title":"Recognising and retrieving the meaning of Thirukkural from speech utterances","authors":"B. Bharathi, G. Sridevi, G. J. Varshitha","doi":"10.1109/ICSCN.2017.8085704","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085704","url":null,"abstract":"Tamil is one of the oldest languages of the world with a rich collection of literature. The state of Tamil Nadu in India and Sri Lanka have vast populations of indigenous Tamil speakers. The Thirukkural is a classical Tamil Sangam Literature, penned by the famous Tamil poet, Thiruvalluvar. Kural is a very short Tamil Poetic form consisting of two lines. Thirukkural contains many important messages, speaking about the moral and ethical values to be followed by everyone. Up to now, speech Recognition has not been applied to this literature. This paper proposes a system which will recognize and retrieve the meaning of Thirukkural from speech utterances. This is achieved by extracting the MFCC feature vectors from the input speech (kural) and building the acoustic models by using Gaussian Mixture Model(GMM). This speaker independent system aims to convert the input speech Thirukkural into text and display the meaning in Tamil along with the chapter number, name and kural number. The system will also synthesize the meaning of the Thirukkural(text to speech). This will be useful to students and visually challenged people to learn Thirukkural in an interactive way. This will be a great help in encouraging more people to take an interest in and learn the Thirukkural. Experiments were conducted by collecting the corpus from 25 people (2000 kural samples) for one chapter of Thirukkural named “Seynandri Aridhal”. The performance of the system was evaluated by building models for different mixture components and retrieving the meaning. It was found to give 100 % accurate results for 128 mixture component models.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"13 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":"117221347","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

Design of compact dual F-slots UWB monopole antenna for wireless devices 用于无线设备的紧凑型双f槽超宽带单极天线设计

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085733

S. Thilagavathi, D. Venkatesh

引用次数: 1

Enhancement of spectral and energy efficiency in massive MIMO systems with linear schemes 线性方案下大规模MIMO系统频谱和能量效率的提高

2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) Pub Date : 2017-03-01 DOI: 10.1109/ICSCN.2017.8085644

Prasad Rayi, M. Prasad

{"title":"Enhancement of spectral and energy efficiency in massive MIMO systems with linear schemes","authors":"Prasad Rayi, M. Prasad","doi":"10.1109/ICSCN.2017.8085644","DOIUrl":"https://doi.org/10.1109/ICSCN.2017.8085644","url":null,"abstract":"Massive-Multi Input and Multi Output (MIMO) antenna system is considered as the key technology to improve both spectral efficiency (SE) and energy efficiency (EE) for 5G systems. Where pilot contamination and inter-cell interference have been considered as basic limiting factors to achieve high data rate. These parameters will saturate the SE and truncate to a constant value. In this work, we explore the effective evaluation of SE and EE of the M-MIMO antenna system with optimal users. In this work, we basically considered linear processing algorithms such as zero-forcing (ZF), maximum ratio combing (MRC) and minimum mean square error (MMSE) for the analysis SE for the both single and multi-cell scenario in M-MIMO systems. In this paper, we provide a platform to improve the SE and EE with a variation of base station (BS) antennas M and pilot reuse factor λ. We also derived the explicit and exact expressions for the analysis of SE and EE with perfect and imperfect channel state information (CSI). Which are very tight and tractable approximations in the prospective of realistic system scenario. We mainly focused on the asymptotic limit of SE and also obtain optimal user terminals K. It has been noticed that the SE performance greatly depends on the receiving combined scheme. We compared the simulation results for SE based the parameters such as varying antennas at the BS M, optimal UTs K and finally pilot reuse factors λ=4 and λ=7. Here, the simulation results of the BS antennas per-user (M/K) and optimal users K, highly depend on the receive technique and the BS antennas M. We also demonstrated the simulation results with the variation of per-user SE versus the BS antennas. The simulation results were performed by using Matlab 2015b.","PeriodicalId":383458,"journal":{"name":"2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN)","volume":"198 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":"121156520","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