2019 2nd International Conference on Signal Processing and Communication (ICSPC)最新文献_第5页

Influence of assorted back barriers on AlGaN/GaN HEMT for 5G K-band applications 不同背垒对5G k波段应用中AlGaN/GaN HEMT的影响

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976482

A. Fletcher, D. Nirmal, L. Arivazhagan, J. Ajayan

引用次数: 0

Performance Measurement Using Different Shortest Path Techniques in Wireless Sensor Network 基于不同最短路径技术的无线传感器网络性能测量

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976618

Nikhil Sharma, I. Kaushik, Nanhay Singh, Ravi Kumar

引用次数: 3

Design and Analysis of a Frequency Reconfigurable Antenna for Ultra wide band and Cognitive Radio Applications 一种用于超宽带和认知无线电的频率可重构天线的设计与分析

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976633

R. M. C. Cleetus, G. Bala

引用次数: 3

Investigations on PSO based task assignment algorithms for heterogeneous wireless sensor network 基于粒子群算法的异构无线传感器网络任务分配算法研究

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976850

Titus Issac, S. Silas, E. Rajsingh

{"title":"Investigations on PSO based task assignment algorithms for heterogeneous wireless sensor network","authors":"Titus Issac, S. Silas, E. Rajsingh","doi":"10.1109/ICSPC46172.2019.8976850","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976850","url":null,"abstract":"Modern heterogeneous wireless sensor nodes can be used to develop a wide plethora of sophisticated Wireless Sensor Network (WSN) applications. In a WSN, the nodes collaborate with each other to achieve the desired objectives by employing a task assignment algorithm. The majority of the existing WSN task assignment algorithms were designed for a homogeneous environment. However, the current trend of using heterogeneous nodes in WSN application warrants an elaborate investigations on the various factors influencing task assignment in heterogeneous environment. Extensive analysis on decisive factors such as node properties, WSN architecture, WSN application types were exhaustively carried out. Subsequently, a multi-objective based task assignment algorithm using Particle Swarm Optimization (PSO) was proposed. Various case studies on PSO by varying the fitness function and criteria weights were modelled and experimented through simulation to study the feasibility of achieving the desired objectives. The performance metrics such as energy consumption, response time and successful task assignment ratio were analyzed under different cases. Our investigations reveal that multi-objective based PSO outperforms its legacy counterpart in achieving the desired objectives with higher successful task assignment ratio in the heterogeneous environment.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114545343","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: 2

Detection and Classification of Diseases of Banana Plant Using Local Binary Pattern and Support Vector Machine 基于局部二值模式和支持向量机的香蕉病害检测与分类

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976582

Akshaya Aruraj, Ashish Alex, M. Subathra, N. Sairamya, S. George, S. Ewards

{"title":"Detection and Classification of Diseases of Banana Plant Using Local Binary Pattern and Support Vector Machine","authors":"Akshaya Aruraj, Ashish Alex, M. Subathra, N. Sairamya, S. George, S. Ewards","doi":"10.1109/ICSPC46172.2019.8976582","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976582","url":null,"abstract":"Banana plantation is a commercial agricultural practice of huge significance especially in Asian and African countries. Banana production is affected by natural calamities and plant diseases. But plant diseases present a constant threat to the farmers affecting the quantity and quality of the banana cultivation. From the last decade, the image processing techniques and machine learning algorithms have been broadly used for identification and classification of infections in plants. In this work, texture pattern techniques for identification and classification of diseases in banana plants is introduced. The proposed methodology consists of two primary phases; (a) extraction of texture features from using local binary pattern (LBP); (b) classification of banana plant diseases and healthy banana plant. The texture features using LBP are extracted from an enhanced input image. The extracted features are fed to Support Vector Machine (SVM) and K-nearest neighbor (KNN) for final banana plant disease classification. The proposed technique is tested on the Plant Village dataset for the classification of two different experimental cases (i) Healthy-Black Sigatoka and (ii) Healthy-Cordana leaf spot. The proposed methodology attained an accuracy of 89.1 % and 90.9% for two experimental cases using SVM classifier.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121696029","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: 14

Human facial expression recognition using deep learning technique 基于深度学习技术的人类面部表情识别

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976876

S. Harshitha, N. Sangeetha, Asenath P Shirly, C. D. Abraham

引用次数: 3

Twin Robot Cooperation in Multi-Robot Environment: An Applied Q-learning 多机器人环境下双机器人协作:一种应用q学习方法

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976817

Bandita Sahu, P. K. Das, M. R. Kabat

引用次数: 2

A Delay Sensitive Cluster Based Routing Protocol for Wireless Sensor Networks 一种基于时延敏感簇的无线传感器网络路由协议

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976525

Bhaskar Bhuyan, H. Sarma, N. Sarma

引用次数: 1

A Novel modernistic techniques in women security system using ESP32 and Arduino Uno 一种基于ESP32和Arduino Uno的新型现代女性安全系统技术

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976745

Prem Prakash Murmu, Harshit Paul, J. Roopa, Alexander Joe Timothy

引用次数: 5

Performance Comparison of Neural Network Backpropagation Algorithms in Detecting P300 Signals from Mind-Speller Data 神经网络反向传播算法在心智拼写数据P300信号检测中的性能比较

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976735

J. Philip, S. George

引用次数: 1