2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)最新文献_第2页

Energy Efficient Cubical layered Path Planning Algorithm (EECPPA) for acoustic UWSNs 声学UWSNs的高效三次分层路径规划算法(EECPPA

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121900

A. Muhammad, Fan Wang, Zefeng Lv, Muhammad Asad, Samra Zafar, E. Munir, Xiaopeng Hu

{"title":"Energy Efficient Cubical layered Path Planning Algorithm (EECPPA) for acoustic UWSNs","authors":"A. Muhammad, Fan Wang, Zefeng Lv, Muhammad Asad, Samra Zafar, E. Munir, Xiaopeng Hu","doi":"10.1109/PACRIM.2017.8121900","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121900","url":null,"abstract":"In this paper, we purpose Energy Efficient logical Cubical layered Path Planning Algorithm (EECPPA) and Multiple Sink EECPPA (MSEECPPA) for acoustic 3D Under Water Sensor Networks (UWSNs). EECPPA and MSEECPPA algorithms are completely distributed and highly adoptive in their execution in logical divided 3D networks into multiple cubes. Proposed models are flexible during location variations of sensors and have excellent ability to reconfigure the size of the logical cubes within 3D cubical UWSNs. These multiple logical cubes play vital role in selection of multiple group leading nodes, called Cluster Heads (CHs). The iterative executional operation of EECPPA and MSEECPPAA is divided into three phases called; Network Dimensional Phase (NDP), Network Settling Phase (NSP) and Network Transmission Phase (NTP). In first phase, multiple cubical layers are constructed, in second leading nodes are selected near the reference point of logical cube's boundaries and in NTP actual communications of the nodes take place. MSEECPPA algorithm selects the suitable relaying nodes called multiple sinks to utilize the multi-hoping mechanism to increase the lifetime of longer distance nodes from the Base Station (BS). Extensive simulation experiments provide the encouraging findings that proposed models outperform the DBR routing protocol in successful packet delivery, less propagational delay and better network lifetime.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122165406","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: 5

Measurements of construction materials penetration losses at frequencies from 26.5 GHz to 40 GHz 26.5 GHz至40 GHz频率下建筑材料穿透损耗的测量

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121917

C. Vargas, L. Mello, R. C. Rodriguez

引用次数: 10

Enhancement of time compression overlap-add using multirate downsample upsample shift add algorithm 利用多速率下采样上采样移位加算法增强时间压缩重叠加

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121904

Ahmed Youssef, P. Driessen, F. Gebali, B. Moa, Stephen T. Harrison

引用次数: 2

Dumb pipes for smart systems: How tomorrow's applications can salvage yesterday's plumbing 智能系统的哑管道:明天的应用如何挽救昨天的管道

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121899

Tianming Wei, Y. Coady, Josh MacDonald, K. Booth, Jon Salter, C. Girling

引用次数: 1

An efficient FPGA-based memory architecture for compute-intensive applications on embedded devices 一种高效的基于fpga的内存架构，适用于嵌入式设备上的计算密集型应用

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121901

S. N. Shahrouzi, D. Perera

{"title":"An efficient FPGA-based memory architecture for compute-intensive applications on embedded devices","authors":"S. N. Shahrouzi, D. Perera","doi":"10.1109/PACRIM.2017.8121901","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121901","url":null,"abstract":"FPGAs are increasingly being utilized to accelerate real-time compute and data intensive applications on embedded platforms. FPGAs achieve high speed-performance by exploiting a variety of parallelisms in computations. However, on-chip memories of current FPGAs are typically dual-port, which hinders multiple simultaneous read/write (R/W) operations required for parallel processing. Although several multi-ported memories are proposed in the literature to address this issue, there is a tradeoff associated with the existing architectures; that is, increasing the number of ports, reduces the total available memory on chip for the block RAMs to store essential data for real-time processing. This tradeoff is not desirable, especially for real-time compute/data intensive applications on embedded platforms, due to the significant amount of time spent on accessing the external memory. In this research work, we introduce a novel and efficient multi-ported memory architecture to bridge the gap between this tradeoff. Experiments are performed to evaluate the feasibility and efficiency of our multi-ported memory architecture. Our unique memory architecture is generic and parameterized. Our memory can be configured to provide a sufficient number of ports for simultaneous R/W operations, while utilizing the total available on-chip memory to store the essential data.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121492555","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

Handwritten digits recognition using PCA of histogram of oriented gradient 手写体数字识别用PCA的直方图梯度定向

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121906

Wu-Sheng Lu

引用次数: 11

Disordered speech quality estimation using linear prediction 基于线性预测的无序语音质量估计

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121897

Y. S. E. Ali, V. Parsa, P. Doyle, S. Berkane

引用次数: 0

PySciDON: A python scientific framework for development of ocean network applications PySciDON:用于开发海洋网络应用程序的python科学框架

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121926

Nathan Vandenberg, Maycira P. F. Costa, Y. Coady, T. Agbaje

{"title":"PySciDON: A python scientific framework for development of ocean network applications","authors":"Nathan Vandenberg, Maycira P. F. Costa, Y. Coady, T. Agbaje","doi":"10.1109/PACRIM.2017.8121926","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121926","url":null,"abstract":"Remote sensing reflectance is measured by ocean colour satellites, and is used as a proxy for estimation of ocean productivity. However, satellite reflectance data needs to be validated so accurate productivity data is retrieved. To accomplish this, large amounts of in situ above-water reflectance data are collected by the SAS Solar Tracker developed by Satlantic, and installed in moving ships. This provides a large amount of data that needs to be calibrated, flagged for erroneous measurements, and further processed for proper validation of satellite measure reflectance. In this paper we compare our own system, PySciDON, with state-of-the-art commercial software. PySciDON filters data based on longitude, meteorological, and erroneous viewing angle flags, and further calculates reflectance based on input wind speeds, and simulation of different ocean colour satellite bands. As a case study, we tested PySciDON output with data acquired in 2016 on the west coast of Canada with FOCOS (Ferry Ocean Colour Observation Systems) and compared with Prosoft, a proprietary software by Satlantic. The analysis shows that in the early processing stages, PySciDON produces similar data as Prosoft. However, later processing stages show small differences, which could be associated with the interpolation model or some issues we have uncovered with Prosoft.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116428578","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

MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks MAHEE：无线传感器网络的多跳超前异构感知节能路径规划算法

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121915

Naeem Ayoub, Muhammad Asad, M. Aslam, Zhen-guo Gao, E. Munir, R. Tobji

{"title":"MAHEE: Multi-hop advance heterogeneity-aware energy efficient path planning algorithm for wireless sensor networks","authors":"Naeem Ayoub, Muhammad Asad, M. Aslam, Zhen-guo Gao, E. Munir, R. Tobji","doi":"10.1109/PACRIM.2017.8121915","DOIUrl":"https://doi.org/10.1109/PACRIM.2017.8121915","url":null,"abstract":"Designing and practical implementation of energy efficient routing protocol is always a major concern for researchers in Wireless Sensor Networks (WSNs). In the past decade various energy efficient clustering routing protocols are designed to overcome this issue. Clustered base path planning technique is widely used in both homogeneous and heterogeneous WSNs. Existing techniques are based on direct communication which consume more energy and create hot-spot near Base Station (BS). Inter-communication between nodes can play a better role in order to minimize the hot-spot issue. In this regard we propose Multi-Hop Advance Heterogeneity-aware Energy Efficient (MAHEE) clustering path planning algorithm for WSNs. In the proposed algorithm, advance Cluster Head (CH) selection algorithm is used in which nodes have higher energy will be chosen as CH. Moreover inter-cluster multi-hop routing with the help of advance CH selection can enhance the network stability and lifetime. Simulation results verify our proposed multi-hop technique give better performance over existing state of the art routing protocols.","PeriodicalId":308087,"journal":{"name":"2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127860962","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

TDOA-FDOA source geolocation using moving horizon estimation with satellite location errors 考虑卫星定位误差的移动地平估计TDOA-FDOA源定位

2017 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) Pub Date : 2017-08-01 DOI: 10.1109/PACRIM.2017.8121932

Changxu Shan, Le Yang, Liu Yang, Xi Li, Wei Li

引用次数: 2