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International Journal of Signal and Imaging Systems Engineering最新文献

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Enhancing trust in mobile ad-hoc network using trust and dynamic with energy efficient multipath routing protocol 利用信任和动态节能多路径路由协议增强移动自组网中的信任
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005429
V. Ramaraj, N. Jeyanthi
{"title":"Enhancing trust in mobile ad-hoc network using trust and dynamic with energy efficient multipath routing protocol","authors":"V. Ramaraj, N. Jeyanthi","doi":"10.1504/IJSISE.2017.10005429","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005429","url":null,"abstract":"Mobile ad-hoc network is one of the most effective self-configuring and infrastructure less based communication networks. During the communication process, trust between the networks is placed an important issue due to the intermediate attacks. Several types of research introduce the trust-based communication protocol for overcoming privacy issues but still, the efficiency of the trust is one of the major problems. So, this paper introduces the optimised trust and energy efficient multipath routing protocol based on the maintained energy of the node to overcome the issues. The intermediate attack in the network has been eliminated with the help of the trust and dynamic with energy efficient multipath routing protocol. The established trust has been used for a multipath routing protocol. Then, the efficiency of the system is analysed using the packet delivery ratio and security. The method ensures the trust in the network by applying the computation, aggregation, and propagation and prediction process.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"31"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42177697","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
Passive congregation-based particle swarm optimisation for designing quadrature mirror filter bank 基于被动聚集的粒子群优化设计正交镜滤波器组
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.10000772
Supriya Dhabal, P. Venkateswaran
{"title":"Passive congregation-based particle swarm optimisation for designing quadrature mirror filter bank","authors":"Supriya Dhabal, P. Venkateswaran","doi":"10.1504/IJSISE.2016.10000772","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000772","url":null,"abstract":"In this paper, we propose two different approaches based on Particle Swarm Optimisation (PSO) for the design of Near Perfect Reconstruction (NPR) Quadrature Mirror Filter (QMF) bank. The proposed method employs Constriction Factor-based PSO (CPSO) and PSO with Passive Congregation (PSOPC) approach for the design of prototype filter. Both the PSO methods are presented to optimise FIR filter coefficients that lead to NPR filter bank. Passband ripple, stopband energy, transition-band error and amplitude distortion of the overall bank are combined to obtain a closed form objective function. Two illustrative examples are given to demonstrate the feasibility of our proposed scheme and performances are compared with other existing methods. The experimental results show that PSOPC algorithm provides better performance parameters with great accuracy and convergence.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"357"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731565","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
Analysis of codon bias pattern for genome sequences through a three-phase network model 基于三相网络模型的基因组序列密码子偏向模式分析
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.10000773
A. Rizvi, C. Bhattacharya
{"title":"Analysis of codon bias pattern for genome sequences through a three-phase network model","authors":"A. Rizvi, C. Bhattacharya","doi":"10.1504/IJSISE.2016.10000773","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000773","url":null,"abstract":"Codon bias generates specific patterns of synonymous codons usage in genomes of all texta. Codon bias patterns of genomes are extracted here in spectral domain and named as Codon Bias Spectra (CBS). Such spectral models of codon bias are demonstrated through a three-phase network model of various genomes. GC, GC3 and AT3 bias patterns along with codon spectra are shown in the paper by modifying the parameters in this spectral model. Patterns of CBS are studied here for codon bias in prokaryotic genomes. Correlation and regression analysis of CBS show the influencing effects of GC, GC3 and AT3 bias. Analysis of the area under ROC curve (AUC) is performed for testing the statistical significance of the three-phase network model for identifying codon bias locations in genome.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"369"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731577","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 DWT signal denoising on various biomedical signals by neural network 用神经网络对各种生物医学信号进行DWT信号去噪分析
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.10000771
G. Kaushik, H. P. Sinha, L. Dewan
{"title":"Analysis of DWT signal denoising on various biomedical signals by neural network","authors":"G. Kaushik, H. P. Sinha, L. Dewan","doi":"10.1504/IJSISE.2016.10000771","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000771","url":null,"abstract":"A detailed analysis of Discrete Wavelet Transform (DWT) denoising and identification on various wavelet families and biomedical signals (ECG, EEG and EMG) is presented in this paper. The main intention of this work is to explore the wavelet function which is optimal for denoising the signals. Nevertheless, wavelet transforms offer better results for denoising biomedical signals, but identification is a crucial process. This paper proposes an artificial neural network in which the wavelet types are used to denoise the signals optimally by using a learning back propagation algorithm. Also the, performances of the various wavelet types are tabulated and compared with the existing techniques, in terms of the evaluation parameters signal to noise ratio, percent root mean square difference, mean-square error and compression ratio. The simulation results expose the efficiency of the proposed method for the denoising of biomedical signals.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"342"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731557","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: 3
Shape-based features for reliable action recognition using spectral regression discriminant analysis 基于形状特征的可靠动作识别使用光谱回归判别分析
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.10000774
G. Selvam, D. Gnanadurai
{"title":"Shape-based features for reliable action recognition using spectral regression discriminant analysis","authors":"G. Selvam, D. Gnanadurai","doi":"10.1504/IJSISE.2016.10000774","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000774","url":null,"abstract":"This paper deals with the classification task of human activities in videos with learning using different image sequences as input methods. Image sequences of purely binary silhouette (or shape), that is Raw Silhouette Representation (RSR), distance transform (DT) images of RSR, edge images of RSR, Silhouette History Image (SHI) and Silhouette Energy Image (SEI), image sequences of Wavelet Transform (WT) are used for training and testing using spectral regression discriminant analysis. Hausdorff distance was used for similarity measures to match the embedded action trajectories. Then action classification is achieved in a K-nearest neighbour framework. Using these different input methods we achieved 100% for all the cases except WT cases. From the results, it is evident that SHI and SEI are effective input method in terms of time and space consumption.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"379"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731593","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: 3
Finger knuckle print authentication using Canny edge detection method 使用Canny边缘检测方法的指关节指纹认证
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.080267
Jyoti Malik, R. Dahiya, Dhiraj Girdhar, G. Sainarayanan
{"title":"Finger knuckle print authentication using Canny edge detection method","authors":"Jyoti Malik, R. Dahiya, Dhiraj Girdhar, G. Sainarayanan","doi":"10.1504/IJSISE.2016.080267","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.080267","url":null,"abstract":"Finger Knuckle Print (FKP) is a recently introduced biometrics in the field of authentication. The texture and lines of FKP is unique and can be used for personal authentication. In this paper, Canny feature extraction method and sliding window matching method is applied on FKP. The proposed methods are applied on a database provided by the Hong Kong Polytechnic University (PolyU) FKP database consisting of 165 persons. The FKP biometrics can be used for low- or middle-level security purpose.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"1 1","pages":"333"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.080267","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731505","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
Adaptive wavelet packet basis selection for zerotree image coding 零树图像编码的自适应小波包基选择
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.10000775
R. Pandian, T. Vigneswaren
{"title":"Adaptive wavelet packet basis selection for zerotree image coding","authors":"R. Pandian, T. Vigneswaren","doi":"10.1504/IJSISE.2016.10000775","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000775","url":null,"abstract":"In this paper, we explore the possibility of wedding the adaptive wavelet packet transform with zerotree quantisation. We subject the input image to an adaptive wavelet packet decomposition, to get a full wavelet packet tree. We present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. Set Partitioning in Hierarchical Trees (SPIHT) and Zerotree Quantisation - Wavelet (ZQ-WV) coder are the other encoding methods. The limitations we have in these coders are that they have low performance in terms of Peak Signal-to-Noise Ratio (PSNR) and low visual quality at low bit rates.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"388"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731602","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
Brain tumour detection based on FFT, curve analysis, k-space and neural network classifier 基于FFT、曲线分析、k空间和神经网络分类器的脑肿瘤检测
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-11-12 DOI: 10.1504/IJSISE.2016.10000776
V. Sheela, S. Babu
{"title":"Brain tumour detection based on FFT, curve analysis, k-space and neural network classifier","authors":"V. Sheela, S. Babu","doi":"10.1504/IJSISE.2016.10000776","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000776","url":null,"abstract":"Magnetic Resonance Imaging (MRI) has become an efficient instrument for clinical diagnoses in recent years. In this paper, an efficient MRI image segmentation for tumour detection is proposed using FFT, curve analysis and k-space. Input MRI image is pre-processed and segmentation is carried out using EM. Subsequently, features are extracted by using FFT, curve analysis and k-space. Finally, neural network classifier is employed to diagnose brain tumour. The MRI image dataset used to evaluate the proposed image technique is taken from the publicly available sources. The evaluation metrics used to evaluate the proposed technique consists of sensitivity, specificity and accuracy. Overall, the proposed technique could achieve sensitivity, specificity and accuracy values of 0.80, 0.81 and 0.805 respectively. The comparative analysis is also made comparing with other existing techniques. From the results, it can be seen that our proposed technique performed well and obtained better evaluation metrics than the existing methods.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"393"},"PeriodicalIF":0.6,"publicationDate":"2016-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731609","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
An embedded e-voting machine with smart card 带智能卡的嵌入式电子投票机
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078258
Karima Dichou, V. Tourtchine, FayÁ§al Rahmoune
{"title":"An embedded e-voting machine with smart card","authors":"Karima Dichou, V. Tourtchine, FayÁ§al Rahmoune","doi":"10.1504/IJSISE.2016.078258","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078258","url":null,"abstract":"The conventional voting systems are being replaced by electronic voting machines to safeguard the security, reliability, and transparency. There are two types of E-voting systems. The first one is based on visiting a polling station; voters are still identified by using identification cards. Voters do not fill voting cards as in the paper form but push buttons on various electronic devices. The second type of E-voting system is based on remote technology. Usually, electors vote using computers at distant locations or at polling stations. Our contribution is to merge the two existing electronic voting systems to design a new one that takes into account the benefits from each one of them. That is to say, we design an embedded electronic voting machine that works with authentication based on a smart card and fingerprint with RSA encryption. Our system is both faster and more secure than the conventional ones.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"41 1","pages":"291"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731746","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
Auto-connected transformer with 40° phase shifting for harmonic elimination 自动连接变压器与40°相移谐波消除
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078260
Arafet Ben Ammar, F. B. Ammar
{"title":"Auto-connected transformer with 40° phase shifting for harmonic elimination","authors":"Arafet Ben Ammar, F. B. Ammar","doi":"10.1504/IJSISE.2016.078260","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078260","url":null,"abstract":"The conventional six-pulse and 12-pulse generate harmonics pollution in the network. In order to reduce the harmonics propagation has proposed the use of other structures that offer a greater flexibility to transit control of energy and a significant harmonics reduction. In this paper, the authors present the design, analysis and experimental set-up of a delta-connected autotransformer-based 18-pulse ac-dc converter with 40° phase shifting to decrease the harmonics pollution in the network side. The simulation results show that autotransformer configuration 18-pulse capable to suppress harmonics of the order less than 18th.n±1. This design gives a better THD current compared with the two configurations, six-pulse and 12-pulse. Moreover, a prototype of the proposed autotransformer-based 18-pulse ac-dc converter is developed and test results are presented to validate the developed design procedure and simulation models of this ac-dc converter.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"233"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078260","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731803","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
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