2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)最新文献

筛选
英文 中文
A Design for Two-Dimensional Non-Causal Deslauriers-Dubuc Discrete Wavelet Transformation for Real-Time Video Processing on FPGA 基于FPGA的二维非因果Deslauriers-Dubuc离散小波变换的实时视频处理设计
M. Hussain, Thi Phuong Loan Hoang, Christian Langen
{"title":"A Design for Two-Dimensional Non-Causal Deslauriers-Dubuc Discrete Wavelet Transformation for Real-Time Video Processing on FPGA","authors":"M. Hussain, Thi Phuong Loan Hoang, Christian Langen","doi":"10.1109/SPIN.2018.8474195","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474195","url":null,"abstract":"In this paper, an efficient implementation for two-dimensional non-causal Deslauriers-Dubuc discrete wavelet transformation using the lifting scheme for real-time video processing is proposed. Firstly, a two-dimensional discrete Deslauriers-Dubuc wavelet transformation for decomposition with outputs as the approximation, horizontal details, vertical details and diagonal details of the input frames and inverse discrete wavelet transformation for reconstruction of the decomposed video stream is implemented on the Simulink HDL coder platform. The method with FIFO and counter logic provides serial data to the wavelet transform module, which reduces the delay time as compared to the prior approach of the delay line [1]. The implementation addresses the solution for problems related to serial processing by non-causal wavelet filters and delay in the output frame display. Later, the Simulink model is tested on the Terasic Intel/Altera DE2i-150 board and applied to processing of real-time video supplied by a Terasic 5 MPixel digital camera at the rate of 15 frames per second.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114692300","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
Tunable Q - wavelet transform based features for automated screening of knee-joint vibroarthrographic signals 基于可调Q -小波变换的特征自动筛选膝关节关节振动信号
Jayrajsinh Zala, M. Sharma, R. Bhalerao
{"title":"Tunable Q - wavelet transform based features for automated screening of knee-joint vibroarthrographic signals","authors":"Jayrajsinh Zala, M. Sharma, R. Bhalerao","doi":"10.1109/SPIN.2018.8474117","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474117","url":null,"abstract":"Pathological conditions in the knee joint can be caused by vibrations emitted in knee joint while bending or extending the leg. To detect this vibrations or to know the inner condition of the joint like softening, coarseness, breakage or it’s state of lubrication of articular cartilage surface, vibroarthrographic (VAG) signal is useful. The VAG signal is used because of fluctuating and nonlinear property which is helpful to extract the condition of knee joint. In present work on VAG signals by using the TQWT decomposition. VAG signals are partitioned into sub-band signals of distinct frequencies. There are different features of VAG Signals, fluctuating in nature like Kraskov Entropy (KE) and Signal Fractal Dimension (SFD). The performance of feature selection (FS) techniques can be validated through using the Least square support Vector machine (LS-SVM). By using LS-SVM classifier we have achieved an accuracy of 86.91%, sensitivity of 88.33%, specificity of 86.66% based on the input of 89 VAG signals.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128737340","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: 10
A Framework for Codon Based Analysis to detect abnormalities responsible for Esophagus Cancer using Soft Computing Tool 基于密码子的食管癌异常分析框架
Hemashree Bordoloi, Daisy Roy, S. Nirmala
{"title":"A Framework for Codon Based Analysis to detect abnormalities responsible for Esophagus Cancer using Soft Computing Tool","authors":"Hemashree Bordoloi, Daisy Roy, S. Nirmala","doi":"10.1109/SPIN.2018.8474218","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474218","url":null,"abstract":"Deoxyribo Nucleic Acid (DNA) sequencing is a rapidly expanding biomedical research technology used for molecular diagnostics. It is basically a process of determining the precise order of nucleotide bases. The three unit nucleotide combinations within a DNA form codons which are related to amino acids and subsequently to proteins. One of the primary principles of disease detection is based on irregularities in the codon grouping. The focus of this work is to determine abnormalities in the codon sequence using soft computing tools and thereby provide a reliable computational mechanism for disease detection which have distinct genetic linkage.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132378835","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
Analysis of Different Converters for Reduced Total Harmonic Distortion and Improved Power Factor 不同变换器对降低总谐波失真和提高功率因数的分析
Piyush Sharma, DHEERAJ KUMAR DHAKED, Sachin Saini, L. K. Tripathi, Ashish Shrivastva
{"title":"Analysis of Different Converters for Reduced Total Harmonic Distortion and Improved Power Factor","authors":"Piyush Sharma, DHEERAJ KUMAR DHAKED, Sachin Saini, L. K. Tripathi, Ashish Shrivastva","doi":"10.1109/SPIN.2018.8474197","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474197","url":null,"abstract":"Power electronics is a vast area in electrical engineering for research which includes different switching devices to control and switching of electrical machines and drives for their output, speed and torques etc. It has many applications in our everyday life such as motor drives, and power supplies for computer. The ‘current’ drawn by these devices is distorted so there is a necessity to use power factor correction converter. In this paper a comparative evaluation of different topologies of AC–DC converter is completed for Total Harmonic Distortion and enriched power factor. The model is simulated in MATLAB and their results are shown.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"462 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116232305","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
Fuzzy Modeling between Cerebral Blood Flow and Physiological Parameters of the Human Brain 脑血流与人脑生理参数的模糊建模
Kavita Goyal, M. Uddin, V. Jindal
{"title":"Fuzzy Modeling between Cerebral Blood Flow and Physiological Parameters of the Human Brain","authors":"Kavita Goyal, M. Uddin, V. Jindal","doi":"10.1109/SPIN.2018.8474070","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474070","url":null,"abstract":"The major concepts developed in the 19th and 20th centuries about the effectors of cerebral blood flow (CBF) are considered in this research paper. These effectors (arterial physiological parameters) are: arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2) and mean arterial blood pressure (MABP). This research is focused to evaluate the most dominant factor which is accountable for the changes in the cerebral blood flow out of these three arterial physiological parameters by using the fuzzy logic modeling. The fuzzy membership functions and their linguistic classes with their optimal range of these physiological parameters are defined with the help of literature. The evaluation of dominant factor of CBF will contribute significantly in clinical use for both health and disease.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827042","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
Wavelet based Noise Reduction Techniques for Real Time Speech Enhancement 基于小波的实时语音增强降噪技术
Bhat Raghavendra Ravi, S. Deepu, M. Ramesh Kini, D. S. Sumam
{"title":"Wavelet based Noise Reduction Techniques for Real Time Speech Enhancement","authors":"Bhat Raghavendra Ravi, S. Deepu, M. Ramesh Kini, D. S. Sumam","doi":"10.1109/SPIN.2018.8474210","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474210","url":null,"abstract":"Fixed noise suppression techniques are generally used for speech enhancement in different low power real time systems. In this paper, we propose a modified adaptive system for classification of speech signals and noise reduction based on multi-band techniques. It involves initial identification of incoming speech segments as clean speech, speech in noise or pure noise. For the noisy speech segments, background noise classification is carried out using different wavelet-based feature sets. Noise Reduction system consists of removal of adaptive stationary noise and non-stationary noise based on classified noise type. Simulation results show that the proposed system provides optimal noise reduction and better speech quality with reduced computational complexity in adverse noisy environments.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123872274","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
Joint Source Channel Coding with Bandwidth Compression 带宽压缩联合源信道编码
Surajit Deka, K. K. Sarma
{"title":"Joint Source Channel Coding with Bandwidth Compression","authors":"Surajit Deka, K. K. Sarma","doi":"10.1109/SPIN.2018.8474163","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474163","url":null,"abstract":"In this paper, we have considered the broadcasting of a memoryless bivariate Gaussian source over a Gaussian broadcast channel with respect to bandwidth compression. We have analysed the performance of a hybrid digital-analog (HDA) coding system in combination with joint source channel coding (JSCC) to measure the distortion regions. The transmission advantages due to the combination of both the analog and digital techniques, a class of HDA schemes that yields better performance in distortion is discussed. The performance of source and channel coding for the possible better outcome of the system is measured by employing Wyner-Ziv and Costa coding. In our model, we have considered the upper layer to be a combination of a hybrid layer in the sense of both the analog and digital processing is done. This is executed in presence of quantization error and performance of the system is measured with two conditions: 1) HDA scheme with quantization scaling factor α = 0, i.e. the input of the channel have only the analog information which is considered as the scaled quantization error βS 2) The analog information from the first layer S is suppressed by setting error scaling factor β = 0 and 3) Inclusion of recursive mode with JSCC in each of the three layers for the possible better outcome is considered here.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125007858","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 Novice Encryption Technique using Substitution Clock and Time in It (SCT) 一种基于替代时钟和时间的新手加密技术
Kshitij Kala, Akhilesh Dwivedi, Janmejay Pant, Senam Pandey, Vertika Kandpal, R. P. Pant
{"title":"A Novice Encryption Technique using Substitution Clock and Time in It (SCT)","authors":"Kshitij Kala, Akhilesh Dwivedi, Janmejay Pant, Senam Pandey, Vertika Kandpal, R. P. Pant","doi":"10.1109/SPIN.2018.8474176","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474176","url":null,"abstract":"In this paper, we have developed an algorithm that proposes advance and novice security mechanism that can defend any kind of attacks and is advantageous over the other existing algorithms that are currently being used in security areas like email and web-based security applications. This algorithm is based on the concept of time in analog clock. The most powerful feature of this algorithm is 10506 (permutation of substitution clock). We implemented this algorithm in python. And after verification and validation we found out that it is impossible to crack by any kind of tool in existence. We are looking forward to use this algorithm in various applications.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558333","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
Error probability analysis of FSO Communication System using Differential Chaos Shift Keying 差分混沌移位键控FSO通信系统误差概率分析
Ghanishtha Narang, Mona Aggarwal, H. Kaushal, Swaran Ahuja
{"title":"Error probability analysis of FSO Communication System using Differential Chaos Shift Keying","authors":"Ghanishtha Narang, Mona Aggarwal, H. Kaushal, Swaran Ahuja","doi":"10.1109/SPIN.2018.8474235","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474235","url":null,"abstract":"Free Space Optical (FSO) communication system is known for its high capacity, very large bandwidth, high directivity, non-licensed spectrum and many more advantages. The main issues in any communication system are security and privacy. Although FSO communication is more secure than Radio Frequency (RF) communication system, however, FSO communication still suffer from security threats due to tapping or beam spillage issues. The use of chaotic signals in communication leads to a revolution in the history of secure transmission of information. Therefore, in this manuscript, we aim to improve the security of FSO communication system taking Gamma-Gamma turbulence model using Differential Chaos Shift Keying (DCSK). The performance of the proposed chaotic FSO system is studied taking into consideration different turbulence conditions and analytical expression of probability of error has been derived.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716024","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
Semantic Background Estimation in Video Sequences 视频序列中的语义背景估计
A. Savakis, Aadeesh Milind Shringarpure
{"title":"Semantic Background Estimation in Video Sequences","authors":"A. Savakis, Aadeesh Milind Shringarpure","doi":"10.1109/SPIN.2018.8474279","DOIUrl":"https://doi.org/10.1109/SPIN.2018.8474279","url":null,"abstract":"We present a method that estimates the scene background in videos by utilizing semantic segmentation to extract foreground objects, such as people or cars, and stitching background regions to reconstruct the background. Inspired by recent developments in deep learning, we utilize semantic segmentation based on Conditional Random Field as Recurrent Neural Networks (CRF as RNN) to detect the regions of important objects in each frame and generate a foreground-background map. We use these segmentation maps to extract the background regions from each frame and then stitch them over consecutive frames to obtain the full background for the video sequence. Our foreground/background estimation approach has potential applications in change detection, video surveillance, video compression and video privacy. We illustrate the effectiveness of our method on example videos from the Change Detection (CDNET) dataset.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129787809","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: 5
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信