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arXiv 2018年

作者： Yang, Fei Zhang, Qian Wang, Miaohui Qiu, Guoping International Doctoral Innovation Centre University of Nottingham Ningbo China School of Computer Science University of Nottingham Ningbo China College of Information Engineering Shenzhen University Shenzhen China

Motion blur, out of focus, insufficient spatial resolution, lossy compression and many other factors can all cause an image to have poor quality. However, image quality is a largely ignored issue in traditional pattern recognition literature. In this paper, we use face detection and recognition as case studies to show that image quality is an essential factor which will affect the performances of traditional algorithms. We demonstrated that it is not the image quality itself that is the most important, but rather the quality of the images in the training set should have similar quality as those in the testing set. To handle real-world application scenarios where images with different kinds and severities of degradation can be presented to the system, we have developed a quality classified image analysis framework to deal with images of mixed qualities adaptively. We use deep neural networks first to classify images based on their quality classes and then design a separate face detector and recognizer for images in each quality class. We will present experimental results to show that our quality classified framework can accurately classify images based on the type and severity of image degradations and can significantly boost the performances of state-of-the-art face detector and recognizer in dealing with image datasets containing mixed quality images. Copyright © 2018, The Authors. All rights reserved.

关键词： Image quality

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Attentiveness Assessment in Learning Based on Fuzzy Logic Analysis

Attentiveness Assessment in Learning Based on Fuzzy Logic An...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Kuo-An Hwang Chia-Hao Yang Department of Computer Science and Information Engineering & Graduate Institute of Networking and CommunicationEngineering ChaoYang University of Technology Taiwan Graduate Institute of Informatics Doctoral program ChaoYang University of Technology Taiwan

Learner attention affects learning efficiency. However, in many classes, teachers cannot assess the degree of attention of every student. When a teacher is capable of addressing inattentive students immediately, he can avoid situations in which students are inattentive. Many studies have analyzed student attentiveness by the applying of image detection technologies. If this mechanism can be applied to in-class learning, it will help teachers keep students attentive, and reduce teacher load during class. This study mainly applies fuzzy logic analysis of student facial images when participating in class. Applying fuzzy logic can prevent erroneous judgments associated with a single term, and help teachers deal with student attentiveness.

关键词： Fuzzy logic Face detection Image analysis Image color analysis Education Eyes Design engineering Chaotic communication Image processing Face recognition

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Nonlinear internal wave run-up on impermeable steep slopes

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Journal of Offshore Mechanics and Arctic engineering 2009年第4期131卷 1-5页

作者： Tseng, I-Fan Chen, Chen-Yuan Kuo, Hui-Ming Department of Marine Environment and Engineering National Sun Yat-Sen University Kaohsiung 80424 Taiwan Department of Computer Science National Pingtung University of Education No. 4-18 Ming Shen Rd. Pingtung 90003 Taiwan Department of Management Information System Yung-Ta Institute of Technology and Commerce Lin-Luoh Pingtung 90941 Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department of Logistics Management Shu-Te University Yen Chau Kaohsiung 82445 Taiwan

Laboratory experiments were conducted to investigate the run-up of internal solitary waves (ISWs) on steep uniform slopes in a two-layered fluid system with a free surface. A 12 m long wave flume, which incorporated a movable vertical gate for generating ISWs, was used in the experiments. A steep uniform slope was modeled at one end of the flume. In the present study we looked at internal waves with small and large amplitudes using a steep uniform slope (from one of Θ=30, 50, 60, 90, 120, and 130 deg) much longer than those previously published in the literature. Results collected from a wide range of experimental runs show that the run-up height depends on the planar slope, while the breaking depth is only antecedent to the amplitude of an ISW. The overall quantitative agreement with the linear feature aspects of the incident wave amplitude is encouraging. Copyright © 2009 by ASME.

关键词： Arctic engineering

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A simple scheme of decomposition and reconstruction of continuous-time signals by B-splines

A simple scheme of decomposition and reconstruction of conti...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： K. Ichige M. Kamada R. Ishii Doctoral Prog. in Engineering University of Tsukuba Tsukuba Japan Department of Computer Information Science Ibaraki University Hitachi Japan Division of Electrical Compu. Engineering Yokohama National University Yokohama Japan

An approximate scheme is proposed for decomposing and reconstructing a continuous-time signal as a linear combination of the B-splines. It is an oversampling discrete-time implementation derived by substituting the multifold RRS functions for the B-splines. Its analysis yields conditions for the circuit parameters to avoid instability and overflow, and to meet required precision. A design example and its numerical simulation are also presented.

关键词： Spline Convolution Numerical simulation Wavelet domain Signal generators Analog circuits Costs Hardware Semiconductor device measurement Integrated circuit measurements

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Optimization Accuracy of CNN Model by Utilizing CLAHE Parameters in Image Classification Problems

Optimization Accuracy of CNN Model by Utilizing CLAHE Parame...

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Networking, Electrical engineering, computer science, and Technology (IConNECT), International Conference on

作者： Anjar Wanto Yuhandri Yuhandri Okfalisa Okfalisa Doctoral Student Information Technology Faculty of Computer Science Universitas Putra Indonesia YPTK Padang Padang Indonesia Department of Information Technology Faculty of Computer Science Universitas Putra Indonesia YPTK Padang Padang Indonesia Department Informatics Engineering Faculty of Science and Technology Universitas Islam Negeri Sultan Syarif Kasim Riau Indonesia

This study aims to optimize popular Convolutional Neural Network (CNN) models, such as ResNet50, InceptionV4, VGG19, MobileNetV1, MobileNetV2, MobileNetV3 Small, and MobileNetV3 Large, by utilizing the CLAHE (Contrast Limited Adaptive Histogram Equalization) parameter. This research focuses on the problem of classifying retinal fundus images, which have challenges in analyzing the structure and features of the picture. This study compared the performance of CNN models, which were optimized using the CLAHE method as image pre-processing. The fundus retinal image data used is a publicly available dataset. The optimization process is done by changing the parameters in the CNN model and applying the CLAHE technique to improve image quality before the classification process. The results showed that using the CLAHE parameter significantly contributed to improving the performance of the CNN model in classifying retinal fundus images. Some CNN models optimized with CLAHE produce better accuracy than the unoptimized models. There are also variations in performance between the different models, with some models providing better results in classifying retinal fundus images. This study provides new insights regarding using CLAHE parameters in optimizing the CNN model for retinal fundus image classification problems. The results of this research can be the basis for further development in medical image processing and pattern recognition for more accurate and practical diagnostic applications.

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A user-oriented reliability modelling approach for web systems

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International Journal of Web engineering and Technology 2007年第3期3卷 288-306页

作者： Wang, Wen-Li Hemminger, Thomas L. Tang, Mei-Huei School of Engineering Behrend College Erie Penn. State University Erie PA 16563 United States Computer and Information Science Department Gannon University Erie PA 16541 United States Programme of Electrical Computer and Software Engineering Pennsylvania State University Behrend College United States Pennsylvania State University Behrend College United States Computer and Information Science Department Gannon University United States

In this paper, we describe a user-oriented reliability model that addresses extensive web content, including many links, and that simultaneously addresses user dynamic navigation behaviour. Computation time is a problem in web systems because content can be tightly coupled. An alternative approach is to skip the consideration of the actual dynamic relationships but this is undesirable because the quality of a web system is bound to the success of a series of user navigations. These issues motivate our study from a user perspective. By parsing the logs, past navigations can be restored to form a flow graph. Our model adopts the idea of cyclomatic complexity to convert the graph to a maximum number of independent paths so that reliability can be computed by discounting the probabilities of unreliable paths. The application of this model can prioritise the fault removal sequence to assist in resource and effort allocation to improve reliability. Copyright © 2007 Inderscience Enterprises Ltd.

关键词： Web services

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Research on key influence factors of current-transfer process based on paralleled breaking

Research on key influence factors of current-transfer proces...

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International Conference on Electric Power Equipment - Switching Technology (ICEPE-ST)

作者： Xiang Zheng Zhihui Huang Enyuan Dong Minfu Liao Zhuo Cheng Shengkai Hou Chenxu Niu Post-doctoral Mobile Research Station of Control Science and Engineering Dalian University of Technology Dalian China School of Electrical Engineering Dalian University of Technology Dalian China Department of Computer Science and Technology Dalian Neusoft Institute of Information Dalian China School of Electronics and Information Engineering Dalian Jiaotong University Dalian China

Current-transfer phase-control breaking is one method of paralleled breaking. This method can make up for shortcoming of sole chamber with high rated current and high rated short-current breaking current at the same time. In addition to breaker stationary open time and computing speed of controller, the key influence factor is that controller needs accurately to compute the current-transfer time and current zero appearing moment. It will influence the best triggering moment determination of breaker driving actuator. This paper constructs its mathematical model of current transfer process. By the theory modeling with Matlab, this paper analyzes the influencing factors to current-transfer time and current zero appearing moment. From simulation procedure and result, dc component of short-circuit current and short-circuit current phase angle of contact separating moment of first open chamber, impedance parameter of paralleled circuit and arc voltage of first open chamber after contact separating both influence the current process and current zero. After breaker structure and chamber parameters are fixed, most important matter is that short-circuit current phase angle of contact separating moment of first open chamber needs to be determined accurately.

关键词： Educational institutions Vacuum technology Cooling Copper Insulation

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An efficient heuristic for routing and wavelength assignment in optical WDM networks

An efficient heuristic for routing and wavelength assignment...

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IEEE International Conference on Communications (ICC)

作者： Yongbing Zhang K. Taira H. Takagi S.K. Das Institute of Policy and Planning Sciences University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Department of Computer Science and Engineering University of Texas Arlington TX USA

ISBN: (纸本)0780374002

We propose an efficient heuristic algorithm that sets up and releases lightpaths for connection requests dynamically. We partition the routing and wavelength assignment (commonly known as RWA) problem into two subproblems and solves both of them using a well-known shortest path routing algorithm. For solving the routing subproblem, an auxiliary graph is created whereby the nodes and links in the original network are transformed to the edges and vertices, respectively, and the availability of each wavelength on the input and output links of a node as well as the number of available wavelength converters are taken into account in determining the weights of edges. Furthermore, for solving the wavelength assignment subproblem, an auxiliary graph is also utilized and the cost for wavelength conversion is taken into consideration in the edge weight function. A distinguished feature of our algorithm is that it employs more accurate network information on the availability of both the wavelengths and the wavelength converters than the existing algorithms in deciding the routing and the wavelength assignment. Simulation results show that our algorithm performs much better than previously proposed algorithms with comparable computation time, especially when the number of wavelengths is large while the number of converters at each node is limited.

关键词： Wavelength routing Wavelength assignment Optical fiber networks WDM networks Optical wavelength conversion Partitioning algorithms Heuristic algorithms Cost function Availability Computational modeling

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Implementation of Apriori Algorithm for Analysis of Consumer Purchase Patterns 1

Implementation of Apriori Algorithm for Analysis of Consumer...

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1st International Conference on computer science and Applied Mathematic, ICCSAM 2018

作者： Panjaitan, Suprianto Sulindawaty Amin, Muhammad Lindawati, Sri Watrianthos, Ronal Sihotang, Hengki Tamando Sinaga, Bosker Teknik Informatika STMIK Pelita Nusantara Medan Sumatera Utara Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Program Doctoral Vocational Technology Education Postgraduate Engineering Faculty Padang State University Padang West Sumatera Indonesia Manajemen Informatika AMIK Logika Sumatera Utara Indonesia Manajemen Informatika AMIK Labuhan Batu Sumatera Utara Indonesia

Consumer purchasing patterns are a form of purchases made by consumers, whether someone or a lot of people to get the desired item by making a purchase transaction. One characteristic of the purchase pattern is the existence of acquiring something through exchanging money. This study aims to create an application that is used in determining consumer purchasing patterns by applying a priori algorithms and using Visual Basic 2010 as a tool for determining consumer purchase patterns. This application uses a priori algorithm calculation method where the sample consumer purchase data will be sorted and calculated by providing the value of the minium support and configuration parameters and based on the results of confidence the largest number of conclusions such as: can be used as information for determining sales, the application of a priori algorithms can provide information pattern combination item set from consumer purchase data that is with support above 15% and confidence above 50% on item set. © Published under licence by IOP Publishing Ltd.

关键词： Condensed matter physics

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Exploring Low Rate Dos Attack Detection Methods: A Bibliometric Analysis and Roadmap for Further Research

Exploring Low Rate Dos Attack Detection Methods: A Bibliomet...

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International Conference on Data and Software engineering (ICODSE)

作者： Anteng Widodo Adian Fatchur Rochim Budi Warsito Doctoral Program of Information System School of Postgraduated Studies Diponegoro University Semarang Indonesia Department of Information System Faculty of Engineering Muria Kudus University Kudus Indonesia Department of Computer Engineering Faculty of Engineering Diponegoro University Semarang Indonesia Department of Statistics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia

Low-Rate Denial of Service (LDoS) attacks, an emerging breed of DoS attacks, present a formidable challenge in terms of their detectability. Within the realm of network security, these attacks cast a substantial shadow over the availability and integrity of services. This study seeks to delve into the intricate mechanics of LDoS attacks and explore the landscape of developed detection methodologies. Employing bibliometric analysis, we employ a multifaceted approach to gather research insights pertaining to LDoS attack detection. This approach encompasses the examination of evolving research trends, scrutiny of widely cited scientific publications within the same domain, identification of prolific researchers shaping the field, and a judicious selection of reputable publishers for dependable information acquisition. Furthermore, our study undertakes a meticulous categorization and classification of previously proposed LDoS detection methods documented in well-established scientific literature. This endeavor not only provides a more profound comprehension of the evolutionary trajectory and thematic thrusts within LDoS attack detection research, but it also facilitates the identification of gaps and directions for future exploration. The culmination of these analytical efforts culminates in a comprehensive framework. This contribution manifests through structured categorization, classification, and a forward-looking research roadmap, which collectively serve as valuable tools for both current and aspiring researchers engaged in LDoS attack detection. In summary, this research not only delves into the complexities of LDoS attacks and their mechanisms but also augments the current understanding of detection capabilities. Through its nuanced contributions, this paper extends a helpful guide to the dynamic realm of LDoS attack detection, thus catalyzing advancements and insights for the future.

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