2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)最新文献_第5页

Web application for power grid fault management 电网故障管理的Web应用

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824052

S. Hosein, Patrick Hosein, Walter Kattick, Varma Ratan

引用次数: 0

Spectral-spatial classification of high dimensional images using morphological filters and regression model 基于形态学滤波和回归模型的高维图像光谱空间分类

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824087

M. Imani, H. Ghassemian

引用次数: 4

A node/link level congestion detection approach in low power and limited broadcast range wireless ad hoc networks 低功耗和有限广播范围无线自组织网络中的节点/链路级拥塞检测方法

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824085

Omer Chughtai, N. Badruddin, A. Awang

{"title":"A node/link level congestion detection approach in low power and limited broadcast range wireless ad hoc networks","authors":"Omer Chughtai, N. Badruddin, A. Awang","doi":"10.1109/ICIAS.2016.7824085","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824085","url":null,"abstract":"With the advancements in the development of low power and limited broadcast range wireless ad hoc networks that support high data rate applications, the probability of information loss due to congestion is very high. One important factor is the timely detection of congestion that significantly improves the performance of the network. Currently most of the solutions either try to periodically/continuously examine the residual buffer space of the node or monitor the link utilisation. These types of solutions either consume high energy and processing or increase the link utilisation for the control packets that leads to the performance degradation of the network. To address this problem, a novel node/link level congestion detection approach (NLCA) has been proposed to timely detect congestion with the minimal processing overhead. The node-level congestion is detected by using the traditional mechanism of examining the buffer utilisation. However, the link-level congestion is detected by using a novel procedure that examines the wireless link utilisation with the counter maintained in CSMA/CA back-off stage. The instantaneous throughput based on the simulation analysis performed in ns-2.35 shows that NLCA can be used to timely detect congestion in the network.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950335","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

A novel congestion alleviation procedure in multi-hop wireless sensor networks 一种新的多跳无线传感器网络拥塞缓解方法

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824084

Omer Chughtai, N. Badruddin, A. Awang

引用次数: 0

Evaluation of rehearsal effects of multimedia content based on EEG using machine learning algorithms 基于脑电图的多媒体内容预演效果评价

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824134

Moona Mazher, A. Aziz, A. Malik

{"title":"Evaluation of rehearsal effects of multimedia content based on EEG using machine learning algorithms","authors":"Moona Mazher, A. Aziz, A. Malik","doi":"10.1109/ICIAS.2016.7824134","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824134","url":null,"abstract":"Rehearsal is a common phenomenon of practicing something to make it more resilient in long-term memory. This paper will present the rehearsal effects based on electroencephalography (EEG) recorded data for multimedia contents. Three frequency based features are used to discriminate the three learning states mentioned as L1, L2 and L3 using machine learning algorithms. From these three learning states, L1 is the first learning state whether L2 and L3 are the rehearsal states of L1. The set of spectral features that are used for analysis are based on the intensity weighted mean frequency (IWMF), its bandwidth (IWBW), and spectral power density (PSD). For the analysis, the three brain waves investigated are the alpha waves, theta waves and delta waves. The results of the study show that the alpha waves produce de-synchronization from rest to learning state as compared to other EEG recorded waves. This de-synchronization lead to mental effort imposed by working memory during a learning task. The Alpha wave shows more accuracy in L1 using SVM classifier that is 85% using PSD features, 86% for IWFM and 78.4% using IBWB feature. The results also mention that L3 produces less classifier accuracy value as compared to the L2 and L1 for each of three extracted features. This indicates that L3 requires less mental effort during learning. The findings proved the rehearsal as a good phenomenon of long-term memorized learning.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129810403","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

A case study for industrial centrifugal pump as a vibration source for macro-scale electromagnetic energy harvesting 以工业离心泵作为宏观电磁能量收集的振动源为例进行了研究

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824040

Syed Faizan ul Haq Gilani, R. Ibrahim, M. Khir

{"title":"A case study for industrial centrifugal pump as a vibration source for macro-scale electromagnetic energy harvesting","authors":"Syed Faizan ul Haq Gilani, R. Ibrahim, M. Khir","doi":"10.1109/ICIAS.2016.7824040","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824040","url":null,"abstract":"This research proposes the industrial centrifugal pump as a potential application for vibration energy harvesting. The energy harvested from the centrifugal pump will be utilized in the condition monitoring system of the pump itself. The complete test setup along with the vibration results from an industrial centrifugal pump are presented. The most optimum position on the pump is proposed based on the highest vibration level achieved among all six tested positions. Furthermore, a study is performed on the power requirement of currently available wireless vibration sensors in the market. Based on the study, an estimate of expected power requirement from the energy harvester is presented. Various electromagnetic type energy harvesters are reviewed and compared in terms of FoMv (volume figure of merit) in order to find out the most optimum design and techniques. Lastly, based on all the test results and studies performed, an electromagnetic energy harvester design is proposed for the application of the centrifugal pump keeping the physical dynamics in scope.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"72 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114135576","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

Design of optimum error nonlinearity for channel estimation in the presence of class-A impulsive noise 存在a类脉冲噪声时信道估计的最优误差非线性设计

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824137

M. Arif, I. Naseem, M. Moinuddin, U. M. Al-Saggaf

引用次数: 12

Implementation of a passive optical network using coherent source spatial multiplexed SAC OCDMA 使用相干源空间复用的SAC OCDMA实现无源光网络

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824082

A. Alhassan, N. Saad, S. Aljunid

引用次数: 1

Motorcycle image tracking and edge detections based on Simulink software 基于Simulink软件的摩托车图像跟踪与边缘检测

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824121

M. Nong, R. Osman, J. Yusof, R. Sidek

引用次数: 4

Discrete-time H∞ control of a class of underactuated electromechanical systems 一类欠驱动机电系统的离散H∞控制

2016 6th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2016-08-01 DOI: 10.1109/ICIAS.2016.7824111

Y. Hafeez, S. S. A. Ali

引用次数: 0