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Image Restoration Using Hybrid Features Improvement on Morphological Component Analysis

Journal of Electronic Science and technology 2019年第4期17卷 371-381页

作者： Der-Chang Tseng Ru-Yin Wei Ching-Ta Lu Ling-Ling Wang the Department of Electronic Engineering National Taipei University of TechnologyTaipei 10608 Quanta Computer Inc. Taipei 11167 the Department of Information Communication Asia UniversityTaichung 41354

Images are generally corrupted by impulse noise during acquisition and *** deteriorates the quality of *** remove corruption noise,we propose a hybrid approach to restoring a random noisecorrupted image,including a block matching 3D(BM3D)method,an adaptive non-local mean(ANLM)scheme,and the K-singular value decomposition(K-SVD)*** the proposed method,we employ the morphological component analysis(MCA)to decompose an image into the texture,structure,and edge ***,the BM3D method,ANLM scheme,and K-SVD algorithm are utilized to eliminate noise in the texture,structure,and edge parts of the image,*** results show that the proposed approach can effectively remove interference random noise in different parts;meanwhile,the deteriorated image is able to be reconstructed well.

关键词： Adaptive non-local mean(ANLM) block matching 3D(BM3D) image restoration morphological component analysis(MCA) singular value decomposition(SVD).

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Genetic algorithm for QoS-aware dynamic web services composition

Genetic algorithm for QoS-aware dynamic web services composi...

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International Conference on Machine Learning and Cybernetics

作者： Fanjiang, Yong-Yi Syu, Yang Wu, Chun-Hung Kuo, Jong-Yih Ma, Shang-Pin Department of Computer Science and Information Engineering Fu Jen Catholic University China Department of Computer Science and Information Engineering National Taipei University of Technology Taiwan Department of Computer Science and Information Engineering National Taiwan Ocean University Taiwan

ISBN: (纸本)9781424465262

Nowadays, the Service-Oriented Architecture (SOA) as well as orchestration technology becomes trend of software development. The benefit of SOA is that we will save cost and time extremely due to the services utilized are already exist and reuse those services as well as integrate them. Currently, the main issues of SOA are how to define workflow as well as how to select the suitable services to perform this workflow with QoS. Many approaches separate workflow defined and services with QoS selected, therefore, will sacrifice the user's feasibility. In this paper, we provide an approach to deal with the dynamic service composition issue based on the genetic algorithm and cases-based reasoning. This approach can support the flexible service workflow according to the user's requirements and compose the workable services to complete this workflow. © 2010 IEEE.

关键词： Quality of service

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Hybrid Machine Learning Model for Face Recognition Using SVM

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computers, Materials & Continua 2022年第8期72卷 2697-2712页

作者： Anil Kumar Yadav R.K.Pateriya Nirmal Kumar Gupta Punit Gupta Dinesh Kumar Saini Mohammad Alahmadi IES College of Technology Bhopal462044India Maulana Azad National Institute of Technology Bhopal462003India Department of Information Technology Manipal University JaipurJaipur303007India Department of Computer and Communication Engineering Manipal University JaipurJaipur303007India Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23218Saudi Arabia

Face recognition systems have enhanced human-computer interactions in the last ten ***,the literature reveals that current techniques used for identifying or verifying faces are not immune to *** Component Analysis-Support Vector Machine(PCA-SVM)and Principal Component Analysis-Artificial Neural Network(PCA-ANN)are among the relatively recent and powerful face analysis *** to PCA-ANN,PCA-SVM has demonstrated generalization capabilities in many tasks,including the ability to recognize objects with small or large data *** from requiring a minimal number of parameters in face detection,PCA-SVM minimizes generalization errors and avoids overfitting problems better than ***-SVM,however,is ineffective and inefficient in detecting human faces in cases in which there is poor lighting,long hair,or items covering the subject’s *** study proposes a novel PCASVM-based model to overcome the recognition problem of PCA-ANN and enhance face *** experimental results indicate that the proposed model provides a better face recognition outcome than PCA-SVM.

关键词： Face recognition system(FRS) face identification SVM discrete cosine transform(DCT) artificial neural network(ANN) machine learning

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Efficient sampling methods for characterizing POIs on maps based on road networks

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Frontiers of computer Science 2018年第3期12卷 582-592页

作者： Ziting ZHOU Pengpeng ZHAO Victor S. SHENG Jiajie XU Zhixu LI Jian WU Zhiming CUI School of Computer Science and Technology Soochow University Suzhou 215006 China Department of Computer Science University of Central Arkansas Conway AR 72035 USA Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044 China

With the rapid development of location-based services, a particularly important aspect of start-up marketing research is to explore and characterize points of interest （PoIs） such as restaurants and hotels on maps. However, due to the lack of direct access to PoI databases, it is necessary to rely on existing APIs to query Pols within a region and calculate PoI statistics. Unfortunately, public APIs generally im- pose a limit on the maximum number of queries. Therefore, we propose effective and efficient sampling methods based on road networks to sample PoIs on maps and provide unbiased estimators for calculating PoI statistics. In general, the more intense the roads, the denser the distribution of PoIs is within a region. Experimental results show that compared with state-of-the-art methods, our sampling methods improve the efficiency of aggregate statistical estimations.

关键词： sampling aggregate statistical estimation roadnetworks

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An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications

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Tsinghua Science and technology 2014年第2期19卷 133-143页

作者： Yuxin Wan Junwei Cao Shuqing Zhang Guoyu Tu Chao Lu Xingtao Xu Keqin Li the Department of Automation Research Institute of Information TechnologyTsinghua National Laboratory for Information Science and TechnologyTsinghua University the Department of Electrical Engineering Tsinghua University State Grid Jiangsu Electric Power Company Department of Computer Science State University of New York New Paltz

The concept of Cyber-Physical Systems （CPSs）, which combine computation, networking, and physical processes, is considered to be beneficial to smart grid applications. This study presents an integrated simulation environment to provide a unified platform for the investigation of smart grid applications involving power grid monitoring, communication, and control. In contrast to the existing approaches, this environment allows the network simulator to operate independently, importing its results to the power system simulation. This resolves conflicts between discrete event simulation and continuous simulation. In addition, several data compensation methods are proposed and investigated under different network delay conditions. A case study of wide-area monitoring and control is provided, and the efficiency of the proposed simulation framework has been evaluated based on the experimental results.

关键词： control cyber-physical system simulation smart grid wide-area monitoring

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Designing a high performance and low energy-consuming embedded system With considering code compressed environments

Designing a high performance and low energy-consuming embedd...

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11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications

作者： Chen, Ching-Wen Ku, Chang-Jung Chang, Chih-Hung Department of Information Engineering and Computer Science Feng Chia University Taiwan Taiwan Department of Computer Science and Information Engineering Chaoyang University of Technology Taiwan Taiwan

ISBN: (纸本)0769523463

In this paper, we present an embedded system design which is cost-efficient and which considers performance improvement and power consumption based on the frequency with which instructions are executed. We use the locality of running programs to optimize the use of memory space, system performance, and power consumption;that is, we compress infrequently executed codes to save the use of memory space but compress (encode) frequently executed codes to power consumption and maximize performance. To save the number of memory access times, the frequently executed instructions are encoded as shorter code words and then the continuous code words are packed into a pseudo instruction. Once the decompression engine fetches one pseudo instruction, it can extract multiple instructions to reduce the number of memory access times. In addition, we also propose a design with multiple look-ahead tables that solves the problem which arises due to the reduction in instructions from one-time memory access which occurs because the great amount of frequently executed instructions. From our simulation results, our method with one 256-instruction look-ahead table does not increase the compression ratio, and the ratio of the power consumption can be reduced by about 47.23% than compressing all instructions. With regard to multiple look-ahead table methods, when one 512-instruction look-ahead table is used, the ratio of the power consumption is reduced by 37.25% only, however, when two look-ahead tables that contain 256 instructions in each table are used, the power consumption can be improved by 49.36%. According to the simulation results, our proposed methods based on the frequencies of executed instructions result in low power consumption, performance improvement and reduced memory space. © 2005 IEEE.

关键词： Embedded systems

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Sharing and multiplexing of downlink traffic resources in mobile packet data networks

Sharing and multiplexing of downlink traffic resources in mo...

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11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005

作者： Tsai, Chen-Nien Ke, Kai-Wei Wu, Ho-Ting Institute of Computer Science and Information Engineering National Taipei University of Technology Taiwan Department of Computer Science und Information Engineering National Taipei University of Technology Taiwan

ISBN: (纸本)0769522815

This paper studies the radio resource allocation for GPRS (General Packet Radio Service) and GSM (Global Systems for Mobile communications) on downlink traffic. We proposed an allocation strategy with partial time-slot sharing and complete radio-block sharing simultaneously. The radio-block based allocation strategy can characterize the practical multiplexing scheme for GPRS. We assumed that the system supports two classes of GPRS mobile terminals with different bandwidth requirements. We also assumed that the system can handle both new call and handover call for GSM requests. By both theoretical analysis and through computer simulation, the result showed that the proposed time-slot and radio-block based resource allocation strategy offers high utilization as well as low blocking probability to GPRS users under various traffic loadings. © 2005 IEEE.

关键词： Mobile telecommunication systems

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High Order Stable Infinite Impulse Response Filter Design Using Cuckoo Search Algorithm

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International Journal of Automation and computing 2017年第5期14卷 589-602页

作者： N.Agrawal A.Kumar V.Bajaj G.K.Singh Department of Electronics and Communication Engineering the Pandit Dwarka Prasad MishraIndian Institute of Information TechnologyDesign and ManufacturingDurnna 482005India School of Electrical Engineering and Computer Science Gwangju Institute of Science and TechnologyKorea Department of Electrical Engineering Indian Institute of TechnologyRoorkee 247667India

In this paper, an efficient technique for optimal design of digital infinite impulse response （IIR） filter with minimum passband error （ep）, minimum stopband error （es）, high stopband attenuation （As）, and also free from limit cycle effect is proposed using cuckoo search （CS） algorithm. In the proposed method, error function, which is multi-model and non-differentiable in the heuristic surface, is constructed as the mean squared difference between the designed and desired response in frequency domain, and is optimized using CS algorithm. Computational efficiency of the proposed technique for exploration in search space is examined, and during exploration, stability of filter is maintained by considering lattice representation of the denominator polynomials, which requires less computational complexity as well as it improves the exploration ability in search space for designing higher filter taps. A comparative study of the proposed method with other algorithms is made, and the obtained results show that 90% reduction in errors is achieved using the proposed method. However, computational complexity in term of CPU time is increased as compared to other existing algorithms.

关键词： Cuckoo search algorithm infinite impulse response （IIR） means square error （MSE） evolutionary algorithm stability.

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Proposed Different Signal Processing Tools for Efficient Optical Wireless Communications

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computers, Materials & Continua 2022年第5期71卷 3293-3318页

作者： Hend Ibrahim Abeer D.Algarni Mahmoud Abdalla Walid El-Shafai Fathi E.Abd El-Samie Naglaa F.Soliman Department of Electronics and Communications Engineering Faculty of EngineeringZagazig UniversityZagazig44519Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh 11586Saudi Arabia

Optical Wireless Communication(OWC)is a new trend in communication systems to achieve large bandwidth,high bit rate,high security,fast deployment,and low *** basic idea of the OWC is to transmit data on unguided media with *** system requires multi-carrier modulation such as Orthogonal Frequency Division Multiplexing(OFDM).This paper studies optical OFDM performance based on Intensity Modulation with Direct Detection(IM/DD)*** system requires a non-negativity *** paper presents a framework for wireless optical OFDM system that comprises(IM/DD)with different forms,Direct Current biased Optical OFDM(DCO-OFDM),Asymmetrically Clipped Optical OFDM(ACO-OFDM),Asymmetrically DC-biased Optical OFDM(ADO-OFDM),and *** also considers channel coding as a tool for error control,channel equalization for reducing deterioration due to channel effects,and investigation of the turbulence *** evaluation results of the proposed framework reveal enhancement of *** performance of the IM/DD-OFDM system is investigated over different channel models such as AWGN,log-normal turbulence channel model,and ceiling bounce channel *** simulation results show that the BER performance of the IM/DD-OFDM communication system is enhanced while the fading strength is *** results reveal also that Hamming codes,BCH codes,and convolutional codes achieve better BER ***,two algorithms of channel estimation and equalization are considered and *** algorithms include the Least Squares(LS)and the Minimum Mean Square Error(MMSE).The simulation results show that the MMSE algorithm gives better BER performance than the LS algorithm.

关键词： Optical communication systems OWC IM/DD OFDM MMSE LS ADO-OFDM DCO-OFDM ACO-OFDM

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A Review of Clustering Algorithms: Comparison of DBSCAN and K-mean with Oversampling and t-SNE

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Recent Patents on engineering 2022年第2期16卷 17-31页

作者： Bajal, Eshan Katara, Vipin Bhatia, Madhulika Hooda, Madhurima Department of Computer Science and Engineering Amity University Uttar Pradesh Noida India Department of Information Technology Amity University Uttar Pradesh Noida India

The two most widely used and easily implementable algorithm for clustering and classification-based analysis of data in the unsupervised learning domain are Density-Based Spatial Clustering of Applications with Noise and K-mean cluster analysis. These two techniques can handle most cases effectively when the data has a lot of randomness with no clear set to use as a parameter as in the case of linear or logistic regression algorithms. However, few papers exist that pit these two against each other in a controlled environment to observe which one reigns supreme and the conditions required for the same. In this paper, a renal adenocarcinoma dataset is analyzed and thereafter both DBSCAN and K-mean are applied on the dataset with subsequent examination of the results. The efficacy of both the techniques in this study is compared and based on them the merits and demerits observed are enumerated. Further, the interaction of t-SNE with the generated clusters are explored. © 2022 Bentham Science Publishers.

关键词： Cluster analysis

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