2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP)最新文献_第2页

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2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/icicsp.2018.8549810

引用次数: 0

Vehicle Type Classification Based on Acoustic Signals Using Denoised MFCC 基于降噪MFCC的声信号车型分类

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549811

Lwin Nyein Thu, Aung Win, Htet Ne Oo

引用次数: 1

Robust Adaptive Filtering under Least q-Gaussian Kernel Mean p-Power Error Criterion 最小q-高斯核平均p-幂误差准则下的鲁棒自适应滤波

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549833

Xifeng Li, Libiao Peng, Dongjie Bi, Yongle Xie

{"title":"Robust Adaptive Filtering under Least q-Gaussian Kernel Mean p-Power Error Criterion","authors":"Xifeng Li, Libiao Peng, Dongjie Bi, Yongle Xie","doi":"10.1109/ICICSP.2018.8549833","DOIUrl":"https://doi.org/10.1109/ICICSP.2018.8549833","url":null,"abstract":"Owing to their superior approximation capability, kernel adaptive filters (KAFs) have been widely applied to the nonlinear systems modeling. Traditional KAFs are generally developed under the mean square error (MSE) criterion. However, the MSE criterion merely performs well under the Gaussian assumption. For non-Gaussian situations, an information theoretic measure called correntropy has been proposed and applied in robust adaptive filtering, which uses the Gaussian kernel as the default kernel. Of course, Gaussian kernel is not always the optimal choice. To enhance the approximation capability of KAFs, The q-Gaussian kernel is derived from the q-Gaussian distribution which arises from the maximization of the Tsallis entropy under appropriate constraints. With a proper shape parameter $q$, the q-Gaussian kernel can get better performance than the Gaussian kernel. In this paper, the least q-Gaussian kernel mean q-power error (LQKMP) criterion is proposed with the help of correntropy and the q-Gaussian kernel. Furthermore, a recursive KAF algorithm, named as recursive least q-Gaussian kernel mean p- power (RQKMP), is derived under the LQKMP criterion for robust learning in noisy environment. This new proposed algorithm reveals superior performance against large outliers. Simulations about time series prediction are utilized to demonstrate the effectiveness of the proposed algorithm.","PeriodicalId":260723,"journal":{"name":"2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126288932","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

Ayeyarwady River Regions Detection and Extraction System from Google Earth Imagery 基于Google Earth图像的伊洛瓦底江区域检测与提取系统

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549806

Ei Moh Moh Aung, T. Tint

{"title":"Ayeyarwady River Regions Detection and Extraction System from Google Earth Imagery","authors":"Ei Moh Moh Aung, T. Tint","doi":"10.1109/ICICSP.2018.8549806","DOIUrl":"https://doi.org/10.1109/ICICSP.2018.8549806","url":null,"abstract":"Nowadays environmental changes have frequently occurred all over the world. Among these changes, river changes are also important to be monitored. The accurate river region detection is the primary important step in river change detection. There is a lot of analysis in river regions detection and extraction based on Landsat and Synthetic Aperture Radar (SAR) images, but there are a few approaches for Google Earth RGB images which do not contain multispectral bands. Thus, this paper is proposed to detect and extract the river regions including both river and sandbank using Google earth RGB images. In this paper, the river regions and sandbank regions are firstly segmented using heuristic rules based on Sobel and thresholding methods. And then, HSV histogram features, color autocorrelogram features, color moments features, Gabor wavelet features and wavelet transform features are extracted from the segmented regions. The multi-class Support Vector Machine (SVM) is applied to categorize the river regions, sandbank regions, and others based on the derived features. According to the testing result, the proposed system obtained 94% overall accuracy for river regions detection.","PeriodicalId":260723,"journal":{"name":"2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130834281","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: 7

Adaptive resource management for co-located MIMO radar in multi-target tracking 多目标同步定位MIMO雷达自适应资源管理

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549714

Yang Su, T. Cheng

{"title":"Adaptive resource management for co-located MIMO radar in multi-target tracking","authors":"Yang Su, T. Cheng","doi":"10.1109/ICICSP.2018.8549714","DOIUrl":"https://doi.org/10.1109/ICICSP.2018.8549714","url":null,"abstract":"Compared with conventional phased array radar, co-located MIMO radar can effectively control transmitting beam width by means of sub-array division, providing greater flexibility in system resource management. To realize the effective resource management for the co-located MIMO radar in multi-target tracking, the resource management optimization model is proposed, where four working parameters can be controlled, including sub-array number, sampling period, transmitting waveform energy and working mode. The objective function integrates the average time and energy resource consumption of the system, and constraints are used to ensure that targets can be effectively detected. When solving the optimization problem, consider fully the influence of sub-array number on the other working parameters, the originally four-dimensional optimization problem is decomposed into several three-dimensional optimization problems, and finally the adaptive resource management algorithm for the co-located MIMO radar is obtained. The simulation results demonstrate that the proposed algorithm can control the working parameters of the co-located MIMO radar effectively. Furthermore, with the proposed adaptive resource management algorithm the average resource consumption of the co-located MIMO radar can be reduced effectively.","PeriodicalId":260723,"journal":{"name":"2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132599505","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

Secure Data Transmission Using Steganography and Twisted Exchange Algorithm 使用隐写和扭曲交换算法的安全数据传输

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549798

Hnin Lai Nyo, A. Hlaing, T. Maw

{"title":"Secure Data Transmission Using Steganography and Twisted Exchange Algorithm","authors":"Hnin Lai Nyo, A. Hlaing, T. Maw","doi":"10.1109/ICICSP.2018.8549798","DOIUrl":"https://doi.org/10.1109/ICICSP.2018.8549798","url":null,"abstract":"Privacy has always a growing impact on the modern applications and the growth in term of technology. The demand for the highest privacy must be guaranteed in the field of technical, commercial and legal regulations whenever sensitive information is stored, processed, or communicated in any form. Thus new technologies are also created new ways to gather private information. In this system, to transmit data securely and to improve robustness, imperceptibility and payload capacity, combination of steganography and cryptography techniques are used. The referable values of secret image is embedded in the video file with the use of Arnold scrambling technique, discrete wavelet transformation and least significant bit. The secret key generated referable values of image is embedded behind the audio file. Before embedding of secret key, it is encrypted by a new proposed encryption algorithm, Twisted Exchange algorithm. Therefore, in this paper, for the security strength of proposed algorithm, it is analyzed whether its generated key stream is random, unpredictable and consistent or not by using National Institute of Standards and Technology (NIST) statistical test tool and compare the results with other standard pseudorandom number generators.","PeriodicalId":260723,"journal":{"name":"2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP)","volume":"116 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132812050","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

UAV Detection Using Continuous Wave Radar 利用连续波雷达探测无人机

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549736

C. Liang, Ning Cao, Xiang Lu, Youjie Ye

引用次数: 14

NFV Orchestration and Rapid Migration Based on Elastic Virtual Network and Container Technology 基于弹性虚拟网络和容器技术的NFV编排与快速迁移

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549793

Jian Zou, Wei Li, Jingyu Wang, Q. Qi, Haifeng Sun

引用次数: 4

Novel Computational-Index as a Representative Feature for Non-Intrusive Load Monitoring 新型计算指标作为非侵入式负荷监测的代表特征

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/ICICSP.2018.8549773

Kushan Choksi, S. K. Jain

引用次数: 2

2018 IEEE International Conference on Information Communication and Signal Processing (ICSP 2018) 2018 IEEE信息通信与信号处理国际会议(ICSP 2018)

2018 IEEE International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2018-09-01 DOI: 10.1109/icicsp.2018.8549800

引用次数: 0