2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)最新文献_第4页

FPGA Implementation of Space-Based AIS 天基AIS的FPGA实现

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-22 DOI: 10.1109/WISPNET.2018.8538703

M. Adarsh, K. Adithya, Akshay Nimbal

{"title":"FPGA Implementation of Space-Based AIS","authors":"M. Adarsh, K. Adithya, Akshay Nimbal","doi":"10.1109/WISPNET.2018.8538703","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538703","url":null,"abstract":"The Automatic Identification System (AIS) is an automated tracking system used for exchanging static and dynamic vessel information between the AIS terminals. Data transmitted by the AIS station is received by other vessel or base station. But due to the range limitations in the ground-based network, we go for Space-based Universal ship-borne Automatic Identification System (S-AIS) wherein the AIS-Data is received by satellite for the global coverage. In this paper, we present the performance analysis of the space-based AIS system considering the Field of View (FoV) of the satellite spanning a large number of Self-Organizing Time Division Multiple Access (SOTDMA) clusters and implementation of AIS Modem using SOTDMA scheme with Gaussian Minimum Shift Keying (GMSK) modulation. The introduction of reconfigurable devices and high level hardware description languages have made the design of AIS modem to be implemented efficiently on Virtex5-xc5vlx110t FPGA. The system is optimized in terms of hardware utilization. The SOTDMA architecture is designed at the Behavioral level of abstraction with constraints as defined by International Telecommunication Union (ITU) and is implemented using Verilog Hardware Description Language (HDL) on the FPGA, GMSK modulator and demodulator is designed in Xilinx System Generator. The SOTDMA architecture implemented is tested by considering multiple users to verify the unique slot allocation within a SOTDMA cluster. The FPGA implementation results are presented.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81821050","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: 4

Enhanced Multi-Controller Placements in SDN SDN中增强的多控制器位置

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538519

G. Ramya, R. Manoharan

引用次数: 5

Standalone Heartbeat Extraction in SCG Signal Using Variational Mode Decomposition 基于变分模态分解的SCG信号独立心跳提取

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538723

Tilendra Choudhary, L. Sharma, M. Bhuyan

引用次数: 8

On Fall Detection Using Smartphone Sensors 关于使用智能手机传感器进行跌倒检测

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538688

S. Biswas, Tanima Bhattacharya, Ramesh Saha

引用次数: 5

Triple-band Compact Monopole Antenna Using Defected Ground Plane 利用缺陷地平面的三波段紧凑型单极天线

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538624

Saurabh Kumar, P. Suraj, Ritesh Kr. Badhai

引用次数: 0

A Comparative Analysis of Supervised Learning Techniques for Pixel Classification in Remote Sensing Images 遥感图像像素分类中监督学习技术的比较分析

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538518

R. Sivagami, R. Krishankumar, K. S. Ravichandran

引用次数: 2

A Broadband Circularly Polarized Microstrip Patch Antenna for X-Band Applications 用于x波段应用的宽带圆极化微带贴片天线

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538492

S. Bharathi, S. Natarajamani

引用次数: 2

Estimating Pollution Contents in an Urban Area using Airborne Hyperspectral Thermal Data 利用机载高光谱热数据估算城市污染含量

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538681

J. George, J. Aravinth

{"title":"Estimating Pollution Contents in an Urban Area using Airborne Hyperspectral Thermal Data","authors":"J. George, J. Aravinth","doi":"10.1109/WISPNET.2018.8538681","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538681","url":null,"abstract":"The best remedy of pollution is its detection and control. The major pollutants in an urban area are asbestos and aerosol. This work introduces a technique to detect the pollutants in an area using hyperspectral data. Due to its enriched spectral information very minute contents are identified. The hyperspectral image is captured with the Telops' Hyper- Cam which contains thermal infrared bands which is used to create temperature map of that land surface thereby the different objects are classified according to different temperature ranges. The visible bands are also used to classify the image and the percentage of area under each class is calculated. To assess the accuracy of each classifier, confusion matrix is computed and identified that Support Vector Machine (SVM) classifier is the best other than Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) having accuracy of 94.89%. The amount of aerosol present in a locality is calculated with respect to a factor called $PM_{10}$ which gives the concentration of particles of dimension less than $10 mu mathrm {m}.$ Using the relation between $PM_{10}$ and atmospheric reflectance the value of $PM_{10}$ is obtained between $34 mu mathrm {g}/mathrm {m}^{3}mathrm {a}mathrm {n}mathrm {d}66mu mathrm {g}/mathrm {m}^{3}.$ It's level is above $15 mu mathrm {g}/mathrm {m}^{3}$which is the safe value according to Canadian jurisdiction so there is chance of hazardous health effects on human beings.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"28 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73455565","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

Configuration of Aerial Mesh Networks with Internet of Things 基于物联网的空中网状网络配置

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538651

Manali Gupta, Vikash, S. Varma

引用次数: 2

Analytical Study on Data Transmission in WBAN With User Mobility Support 支持用户移动性的WBAN数据传输分析研究

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538573

Ramesh Saha, S. Biswas

引用次数: 4