2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)最新文献_第10页

Unsupervised Speech Separation Using Statistical, Auditory and Signal Processing Approaches 使用统计、听觉和信号处理方法的无监督语音分离

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538699

H. R, R. K. Swamy

引用次数: 2

Building Optimal Topologies for Real-Time Wireless Sensor Networks 构建实时无线传感器网络的最优拓扑

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538721

R. Prabha, M. Ramesh, Venkat Rangan

{"title":"Building Optimal Topologies for Real-Time Wireless Sensor Networks","authors":"R. Prabha, M. Ramesh, Venkat Rangan","doi":"10.1109/WISPNET.2018.8538721","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538721","url":null,"abstract":"Wireless Sensor Networks acclaimed a wide popularity because of their low cost and their easiness to be deployed in remote areas where human intervention is very minimal. However, these deployments have constrained by the resources such as power, memory, processing power etc. In order to enhance the reliability and life-time of these networks, it is necessary to develop algorithms that minimize the resource usage. In sensor networks, the topology places a key role in optimizing the resources. If we design a proper topology, a large area can be covered with relatively less number of nodes compared to the normal flat/clustering techniques. This research work deals with creating optimum network topologies that minimizes delay and makes efficient use of available buffer size, lesser intermediate nodes and so on. This paper discusses a set of schemes that design suitable networks under the constraints such as varying data rate, varying packet size and so on. This work discusses schemes that find the optimal number of intermediate nodes for a given set of lower level nodes with varying data rates. This work also discusses a set of algorithms that chooses maximum number of lower level nodes for a given set of intermediate nodes with limited buffer.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"71 4","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91514620","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

An Analytical Study of Mental Rotation Activity Based on Feature Descriptor Patterns 基于特征描述子模式的心理旋转活动分析研究

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538540

Sayantani Ghosh, Lidia Ghosh, A. Konar

{"title":"An Analytical Study of Mental Rotation Activity Based on Feature Descriptor Patterns","authors":"Sayantani Ghosh, Lidia Ghosh, A. Konar","doi":"10.1109/WISPNET.2018.8538540","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538540","url":null,"abstract":"The chief objective of this paper is to investigate the differences in Feature Descriptor patterns during mental rotation of five different objects for both healthy as well as brain diseased subjects. Thus, electroencephalographic (EEG) activity was measured during mental rotation of objects by various angles with respect to its present orientation. Source localization using eLORETA inferred an enhanced activation of pre-frontal and frontal lobe regions during mental rotation activity. Experimental analysis also confirmed maximal activation of lower alpha frequency band while performing this cognitive task. Differential Evolutionary (DE) algorithm has been implemented to select the optimal features which are represented using the Feature Descriptor diagrams. These diagrams infer that the feature patterns are distinct and vary from object to object. Moreover, these patterns orient by $45^{mathrm {o}}$ for $90^{mathrm {o}}$ mental rotation and by $75^{mathrm {o}}$ for $180^{mathrm {o}}$ mental rotation of the presented objects. However, there exists an inconsistency in the Feature descriptor diagrams for patients suffering from pre-frontal lobe amnesia and Alzheimer's disease. It is also found that these diagrams remain unaffected during mental rotation which infers their incapability to perform such a cognitive task. Hence, this work can be effectively utilized to detect people suffering from memory related disorder.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"2000 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86232210","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: 0

Optimized Path for Traversal of Mobile Sink in Heterogeneous Wireless Sensor Networks 异构无线传感器网络中移动汇聚遍历路径的优化

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538597

Saunhita Sapre, S. Mini

引用次数: 1

A Review on the Concept of Polar Codes 关于极性码概念的综述

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538538

A. Mohan, Rajkumar P. Sreedharan

引用次数: 4

Privacy Preserving Collaborative Filtering Approach for Recommendation System 基于隐私保护的推荐系统协同过滤方法

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538650

S. Manju, M. Thenmozhi

{"title":"Privacy Preserving Collaborative Filtering Approach for Recommendation System","authors":"S. Manju, M. Thenmozhi","doi":"10.1109/WISPNET.2018.8538650","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538650","url":null,"abstract":"Recommender Systems use collaborative filtering in order to make recommendations based on similar interest between users or items. In this process, Privacy of users is at severe risk because recommender servers may share user’s private data with third parties to make personalized advertisements and in some cases user privacy may be exposed to the public or attacked by malicious users. The existing works are based on encryption-based and randomization-based techniques, but they compromise accuracy for privacy and privacy for accuracy. In this project, Privacy Preserving Collaborative Filtering approach has been proposed which solves the limitations in the existing works. This work adopts fuzzy logic to deal with uncertainty among user’s interest ratings. The fuzzified data is then perturbated by applying random rotation perturbation technique, thus the user’s interest is not directly available for the recommendation server or the third-party. Using the perturbated data, item clusters are formed by utilizing ant-based clustering algorithm. These clusters help the recommendation server to apply item-collaborative filtering for the recommendation process. In order to refine the cluster center provided by ant-based clustering process K-Means clustering algorithm is applied. The pheromone values obtained during the ant-based clustering is further utilized by the recommender server in order to provide accurate recommendation to the active user.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"215 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74838665","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

Ambulatory Measurement and Estimation of Joint Angle Kinematics in Sagittal Plane Using Body Worn Sensors for Gait Analysis 基于体戴传感器的矢状面关节角度运动学动态测量与估计

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538548

Gunjanbhai Patel, R. Ojha, S. Sujatha

{"title":"Ambulatory Measurement and Estimation of Joint Angle Kinematics in Sagittal Plane Using Body Worn Sensors for Gait Analysis","authors":"Gunjanbhai Patel, R. Ojha, S. Sujatha","doi":"10.1109/WISPNET.2018.8538548","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538548","url":null,"abstract":"Gait analysis is an important clinical tool in the management of locomotion disability arising from orthopedic and neurological conditions and is an active area of research particularly in rehabilitation and sports medicine. The procedure demands dedicated space, thus limiting its usage to indoor environments. In this paper, we present a novel wearable wireless inertial sensor (i-Sens)-based design for estimation of joint angle in the sagittal plane. The i-Sens hardware comprises of triaxial accelerometer, gyroscope sensors, microcontroller and Bluetooth module. It is portable and can be readily used in indoor and outdoor settings. A novel simplified complementary filter algorithm was incorporated in the design for sensor data fusion. Four normal volunteers were chosen to test the sensor; they wore the sensor at knee level on one side, and assessed its performance while walking in both outdoor and indoor environments. The data was transmitted wirelessly through Bluetooth to the data acquisition system. The gait parameters of the subjects were compared with normative reference data. At the initial contact phase of the gait cycle, mean and standard deviation of knee angle was 3.6° ± 3.5°, while the maximum swing phase knee flexion angle was 67.8° ± 4.5°, which is within the normative data range, suggesting accuracy of the joint angle estimation. Hence, i-Sens can be useful for movement analysis of the lower limb. Further clinical trials are required to validate the sensor at different joints (ankle, knee and hip) under various pathological and environmental conditions.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"19 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75641686","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

Impact of Antenna Configuration in Three-Dimensional Modulation Using Beam Hopping 天线结构对三维跳波束调制的影响

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538664

Erfan Majeed, Z. Youssef, M. Mueck, Ingolf Karls, C. Drewes, G. Bruck, P. Jung

引用次数: 0

Fusion Methods for Hyperspectral Image and LIDAR Data at Pixel-Level 像素级高光谱图像与激光雷达数据的融合方法

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538460

C. D. Abraham, J. Aravinth

引用次数: 0

Performance Analysis of Advanced Diversity Receivers in the Presence of Multiple Interferers 多干扰条件下先进分集接收机性能分析

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI: 10.1109/WISPNET.2018.8538739

G. Aruna, M. Barman

{"title":"Performance Analysis of Advanced Diversity Receivers in the Presence of Multiple Interferers","authors":"G. Aruna, M. Barman","doi":"10.1109/WISPNET.2018.8538739","DOIUrl":"https://doi.org/10.1109/WISPNET.2018.8538739","url":null,"abstract":"In this paper, the performance analysis of two different diversity models in presence of multiple interferers and co-channel interference is presented. Arbitrary number of received signals are examined and processed using these diversity techniques. The performance analysis is presented for a Partitioned Selection Diversity Combiner (PSDC) which is an Advanced Diversity Combiner (ADC) consisting of $L$ Selection Combiners (SC) followed by a Maximal Ratio Combiner (MRC). The results are also presented for another ADC consisting of a Generalized Selection Combiner (GSC) followed by an MRC. Both the models are analyzed in the presence of co-channel interference (CCI) over Nakagami-m fading channels. The signal to interference plus noise ratio (SINR) is derived. Using the obtained expressions of SINR, the Average bit error rate (ABER) expression for differential phase shift keying (DPSK) and non-coherent frequency shift keying (NCFSK) modulation techniques are derived. The ABER results are plotted and comparison is made between the two diversity models. Numerical and simulation results are done.","PeriodicalId":6858,"journal":{"name":"2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"72 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87743056","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