2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)最新文献_第3页

Interest point detection based on Laplacian energy of local image network 基于拉普拉斯能量的局部图像网络兴趣点检测

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299719

P. Pournami, V. Govindan

{"title":"Interest point detection based on Laplacian energy of local image network","authors":"P. Pournami, V. Govindan","doi":"10.1109/WISPNET.2017.8299719","DOIUrl":"https://doi.org/10.1109/WISPNET.2017.8299719","url":null,"abstract":"A point of interest is the characteristic of an image which can be robustly detected due to its well-defined position. The points of interest should be easily computable and are invariant to transformations in the image domain. This paper presents a novel interest point detector based on a graph centrality measure defined over the Laplacian energy of the local image network. The proposed method considers the local circular neighborhood of each pixel and associates this with an undirected graph or network. Euclidean distance is employed to connect pixels to form graph edges. The Laplacian energy of the graph will drop when a vertex is removed from it. This relative reduction indicates the significance of that vertex in the network. Graph vertices having higher values of Laplacian centrality are identified as central most nodes. This measure of pixel significance indicates the presence of interest points. The effectiveness and robustness of the proposed approach in detecting local points of high entropy values are demonstrated by the experiments conducted on standard datasets. The visual assessment of the identified interest points correlates with the coverage value calculated. Moreover, the proposed method shows stable results in the presence of geometric transformations such as rotation, viewpoint changes, and zooms. These results provide substantial evidence of the proposed interest point detector's utility in image processing applications such as image registration, object recognition, and image matching, etc.","PeriodicalId":224631,"journal":{"name":"2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133359478","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 robust algorithm for morphological, spatial image-filtering and character feature extraction and mapping employed for vehicle number plate recognition 提出了一种基于形态学、空间图像滤波和特征提取与映射的稳健车牌识别算法

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299884

Rajshekhar Mukherjee, Amit Pundir, D. Mahato, Gaurav Bhandari, G. Saxena

{"title":"A robust algorithm for morphological, spatial image-filtering and character feature extraction and mapping employed for vehicle number plate recognition","authors":"Rajshekhar Mukherjee, Amit Pundir, D. Mahato, Gaurav Bhandari, G. Saxena","doi":"10.1109/WISPNET.2017.8299884","DOIUrl":"https://doi.org/10.1109/WISPNET.2017.8299884","url":null,"abstract":"This paper illustrates the implementation of a character feature extraction, classifier and an effective mapping algorithm applied on images of vehicle license plates, using nonlinear feature extraction and spatial mapping. A novel algorithm for low-level visual feature extraction has been presented, highlighting non-linear morphological operations with structuring, filtering, erosion and dilation techniques. Filtering and enhancement of raw image for key feature extraction and recognition by edges by sobel, canny and Fuzzy logic, convolution, median filtering and scaling image for boosting visual spatial features has been performed. Template matching using thresholding by effective feature mapping and semantic feature matching methods with pre-fed datasets has been accomplished as an application to image computing. The results obtained are tabulated and an accuracy of 79.30% using the above mentioned algorithm is reported. The images henceforth have been exposed to standard channel noises and thereafter compared for loss of information and overall structure. Comparison methodologies used are MSE and PSNR values and Structured Similarity Index (SSIM). The accuracy of results thus obtained are reported, suggesting the robustness and effectiveness of the algorithm. Image acquisition is accomplished by a remotely controlled android platform based device integrated with the MATLAB platform in real-time. The acquired number-plate data is transferred into a text file for creating a vehicle index log, critical for security systems.","PeriodicalId":224631,"journal":{"name":"2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123878606","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: 9

WiMAX for data aggregation in smart grid communication network—A review 智能电网通信网络中WiMAX数据聚合技术综述

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299727

Rajashree Daryapurkar, R. Karandikar

引用次数: 12

Smart bin: An intelligent waste alert and prediction system using machine learning approach 智能垃圾箱:一种使用机器学习方法的智能废物警报和预测系统

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299865

C. Baby, Harvir Singh, Archit Srivastava, Ritwik Dhawan, P. Mahalakshmi

引用次数: 30

Capacity analysis for Rayleigh/gamma-gamma mixed RF/FSO relayed transmission 瑞利/ γ - γ混合RF/FSO中继传输的容量分析

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8300077

Banibrata Bag, A. Das, A. Chandra

引用次数: 5

Improved geometric filter algorithm for device free localization 改进的几何滤波算法用于设备自由定位

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299895

S. J. Sreeraj, R. Ramanathan

{"title":"Improved geometric filter algorithm for device free localization","authors":"S. J. Sreeraj, R. Ramanathan","doi":"10.1109/WISPNET.2017.8299895","DOIUrl":"https://doi.org/10.1109/WISPNET.2017.8299895","url":null,"abstract":"Device Free Localization (DFL) is one of the emerging applications of Wireless Sensor Networks, which can find people or objects in a monitored area — even through walls. ‘Device Free’ — which states that the method can localize a person or target, without the target using any Passive or active devices such as RFID tags or GPS devices. ‘Tracking through walls’ — which make the method unique than other device free monitoring methods like the ones employing Image/Video processing or with Infrared or Light rays. This method uses Radio signals to scan an area to localize the target. The Geometric Filter (GF) algorithm discussed in this paper is one of the approaches which uses Received Signal Strength (RSS) in the links as a metric and gives better tracking performance using only simple computations based on geometric objects. This method performs better than others with lower tracking errors and with huge improvement in average execution time. This paper analyses the Geometric Filter algorithm with performance evaluation in different number of nodes and with measurement noise. An improvement is also suggested.","PeriodicalId":224631,"journal":{"name":"2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123917289","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: 8

Power allocation for uplink non-orthogonal multiple access in 5G 5G上行链路非正交多址的功率分配

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299710

R. Rezagah, Tatsuya Yoshioka, Nobuo Suzuki

引用次数: 1

Bit error probability analysis of MIMO multicarrier spread spectrum for different channels and modulations 不同信道和调制方式下MIMO多载波扩频误码概率分析

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299709

Sanjay Deshmukh, U. Bhosle

{"title":"Bit error probability analysis of MIMO multicarrier spread spectrum for different channels and modulations","authors":"Sanjay Deshmukh, U. Bhosle","doi":"10.1109/WISPNET.2017.8299709","DOIUrl":"https://doi.org/10.1109/WISPNET.2017.8299709","url":null,"abstract":"Multiple access techniques are used in next generation wireless communication systems to allow many users to share the available spectrum efficiently. In this paper we investigate performance of a Multi Carrier Spread Spectrum system (MC-SS). The Principle of MC-SS system is to spread a data sequence by a given spreading sequence in frequency domain and allow it to modulate N subcarriers instead of one carrier. The idea is to combine such scheme with Orthogonal Frequency Division Multiplexing (OFDM) for efficient use of spectrum. Since OFDM makes use of overlapping subcarriers in frequency domain. The system consists of combination of Multiple Inputs and Multiple Outputs (MIMO) communication with Orthogonal Frequency Division multiplexing modulation scheme to provide significant increase in a system data rate, bandwidth efficiency and Quality of service (QOS). One of the important advantages of receiver structure is spatial diversity obtained by Maximum Ratio Combiner (MRC). In order to recover original information, Maximum Ratio Combiner do the phase corrected weighted addition of signals transmitted through each branch. The BER analysis is conducted for the system under different channel conditions and with different number of subcarriers. It is observed that for higher values of subcarriers and diversity, system performance in terms of BER is improved. The result shows that BER is proportional to the size M of the mapping technique used in the system.","PeriodicalId":224631,"journal":{"name":"2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127230115","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

Smart music player integrating facial emotion recognition and music mood recommendation 集成面部表情识别和音乐情绪推荐的智能音乐播放器

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8299738

Shlok Gilda, Husain Zafar, Chintan Soni, Kshitija Waghurdekar

{"title":"Smart music player integrating facial emotion recognition and music mood recommendation","authors":"Shlok Gilda, Husain Zafar, Chintan Soni, Kshitija Waghurdekar","doi":"10.1109/WISPNET.2017.8299738","DOIUrl":"https://doi.org/10.1109/WISPNET.2017.8299738","url":null,"abstract":"Songs, as a medium of expression, have always been a popular choice to depict and understand human emotions. Reliable emotion based classification systems can go a long way in helping us parse their meaning. However, research in the field of emotion-based music classification has not yielded optimal results. In this paper, we present an affective cross-platform music player, EMP, which recommends music based on the real-time mood of the user. EMP provides smart mood based music recommendation by incorporating the capabilities of emotion context reasoning within our adaptive music recommendation system. Our music player contains three modules: Emotion Module, Music Classification Module and Recommendation Module. The Emotion Module takes an image of the user's face as an input and makes use of deep learning algorithms to identify their mood with an accuracy of 90.23%. The Music Classification Module makes use of audio features to achieve a remarkable result of 97.69% while classifying songs into 4 different mood classes. The Recommendation Module suggests songs to the user by mapping their emotions to the mood type of the song, taking into consideration the preferences of the user.","PeriodicalId":224631,"journal":{"name":"2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133213631","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: 60

Performance comparison of massive MIMO and conventional MIMO using channel parameters 基于信道参数的大规模MIMO与传统MIMO性能比较

2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2017-03-22 DOI: 10.1109/WISPNET.2017.8300073

M. Pappa, C. Ramesh, Madhushri N. Kumar

{"title":"Performance comparison of massive MIMO and conventional MIMO using channel parameters","authors":"M. Pappa, C. Ramesh, Madhushri N. Kumar","doi":"10.1109/WISPNET.2017.8300073","DOIUrl":"https://doi.org/10.1109/WISPNET.2017.8300073","url":null,"abstract":"Multiple-input multiple-output (MIMO) technology is becoming mature in wireless communication systems. It has led to third and fourth generation wireless systems, which has been providing good range, reliability and higher data rates. For the increased demand of much higher data rates, coverage, spectral efficiency, capacity and reduced latency, the evolution of the next generation i.e., the fifth generation technology is necessary. Massive MIMO technology is one of the most promising solution for the above-mentioned challenge. In massive MIMO, the base station is incorporated with hundreds to thousands of antenna array wherein the degrees of freedom can be exploited and the energy can be efficiently used due to the fact that the extra antennas at the base station helps focus the energy into the smaller regions of space. To reap the benefits provided by the extra antennas, the channel information is necessary which makes it possible to have a reliable communication. Therefore, to acquire the channel knowledge, channel state information is required at the base station and estimating the channel parameters plays an important role. In this paper, we concentrate on estimating the channel parameters for conventional MIMO and massive MIMO based on training-based and blind channel estimation techniques wherein the performance of both is compared.","PeriodicalId":224631,"journal":{"name":"2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132890723","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: 20