2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)最新文献_第6页

Multi-layer feed forward neural network application in adaptive beamforming of smart antenna system 多层前馈神经网络在智能天线系统自适应波束形成中的应用

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759925

A. Sallomi, Sulaiman Ahmed

引用次数: 11

Progressive image segmentation based on the wave region growing 基于波区增长的渐进图像分割

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759919

O. Almiahi, V. Kanapelka

引用次数: 3

Inverse kinematics solution for robotic manipulators based on fuzzy logic and PD control 基于模糊逻辑和PD控制的机械臂运动学逆解

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759929

A. H. Mary, T. Kara, A. H. Miry

引用次数: 10

Design and implementation of swimming robot based on labriform model 基于labriform模型的游泳机器人设计与实现

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759910

M. Rashid, A. Rashid

引用次数: 6

Improvement of energy consumption in cognitive radio by reducing the number of sensed samples 减少感测样本数以改善认知无线电的能量消耗

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759954

Hikmat N. Abdullah, H. Abed

{"title":"Improvement of energy consumption in cognitive radio by reducing the number of sensed samples","authors":"Hikmat N. Abdullah, H. Abed","doi":"10.1109/AIC-MITCSA.2016.7759954","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759954","url":null,"abstract":"High energy consumption is one of the main challenges faced in cognitive radio (CR) networks, which may limit their implementation especially in battery-powered devices. In these networks, significant part of the energy is consumed in the energy detector during spectrum sensing for possible vacancy for secondary user transmission. In this paper, we have investigated reducing the energy consumption of single cognitive user (CU) by reducing the number of sensed samples. Also we have explained the optimization criteria for improving energy consumption by controlling number of sensed samples, detection probability and threshold of energy detector. The performance of energy detection system is evaluated in AWGN and Rayleigh fading channels. The simulation results show that at Eb/No of 10 dB 50% and 46 % of the energy consumed in detection are saved when the number of sensed samples is reduced by 50% with acceptable loss in detection probability of 5% and 12% in AWGN and Rayleigh channel respectively. The results also shows the impact of changing the threshold of energy detector on energy consumed in spectrum sensing.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114438762","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: 11

A model for profit maximization in LBSNs LBSNs的利润最大化模型

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759933

Mahnoosh Fatahi, F. Mardukhi

{"title":"A model for profit maximization in LBSNs","authors":"Mahnoosh Fatahi, F. Mardukhi","doi":"10.1109/AIC-MITCSA.2016.7759933","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759933","url":null,"abstract":"Profit Maximization is the problem of finding an optimal strategy to maximize the expected total profit earned by the end of an influence diffusion process under a given propagation model. In the previous works the strategy of influencing the most profitable (influential) users in a social network in order to start the viral marketing campaign has been proposed. These initial users are called the Seed Set. In this work, we introduce a new problem namely Location-Based Profit Maximization (LBPM) and provide a model to solve it. LBPM is the problem of finding the most profitable Seed Set in a Location-Based Social Network (LBSN) in such a way that the expected profit for the owners of a specific venue would be maximized under a certain propagation model considering a limited budget. The proposed model encompasses two main steps. In the first step, we provide Profit Calculation Algorithm to estimate the profitability of each user for a particular venue, considering social aspect, spatial aspect, and users' opinion aspect. Then, in the second step we utilize Linear Threshold (LT) diffusion model under our proposed P-Greedy algorithm to find the final Seed Set.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124782729","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

Method of normalization of the contour line in thickness based on binary masks 基于二值掩模的轮廓线厚度归一化方法

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759921

A. Shauchuk, V. Tsviatkou

引用次数: 4

Survey of biometrie based key generation to enhance security of cryptosystems 基于生物特征生成密钥提高密码系统安全性的研究进展

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759942

Eng Sattar B. Sadkhan, Baheeja K. Al-Shukur, Ali K. Mattar

引用次数: 8

Investigating the possibility of using a single electrode brain-computer interface device for human machine interaction by means of cluster analysis 利用聚类分析的方法，探讨使用单电极脑机接口设备进行人机交互的可能性

2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) Pub Date : 2016-05-01 DOI: 10.1109/AIC-MITCSA.2016.7759936

Ali H. Ali, Raed S. H. AL-Musawi

{"title":"Investigating the possibility of using a single electrode brain-computer interface device for human machine interaction by means of cluster analysis","authors":"Ali H. Ali, Raed S. H. AL-Musawi","doi":"10.1109/AIC-MITCSA.2016.7759936","DOIUrl":"https://doi.org/10.1109/AIC-MITCSA.2016.7759936","url":null,"abstract":"The use of a consumer-grade Brain-Computer Interface (BCI) has seen significant interests among researchers and hobbyists like communities. It has been suggested as a viable mean to control robots, improve learning experience and even to classify thought patterns. This paper investigates the possibility of using the NeuroSky Mindwave headset, a very cheap and popular single electrode BCI, for such endeavors by means of unsupervised machine learning algorithms. Firstly, the raw Electroencephalography (EEG) signals from 10 different subjects were acquired while they performed various mental activities. The mental activities ranged from listening to relaxing music to doing mathematical calculations. Secondly, the EEG signals were filtered to obtain the Gamma, Beta, Alpha, Theta and Delta brainwaves. Finally, k-means, fuzzy c-means and Self-Organizing Maps (SOMs) clustering algorithms have been applied to group the brainwaves according to their similarities. The performance of the cluster algorithms was benchmarked using distance metric maps, cluster silhouettes, Calinski-Harabasz index and Davies-Bouldin index. K-means clustering algorithm has showed some power of separating different mental activities into groups. The minimum Mean Silhouette Value has been found to be 0.475 when the number of clusters is 3 and the highest CH-index registered has been 65.7. These results show an interesting possibility for using the MindWave headset in applications where the number of mental activities to be harvested may not be greater than 2 or 3 at most.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"39 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128775463","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