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3rd international conference on Web engineering (ICWE 2003)

作者： Millán, E García-Hervás, E Guzmán, E Rueda, A Pérez-de-la-Cruz, JL Univ Malaga ETSI Informat Dept Lenguajes & Ciencias Comp E-29071 Malaga Spain

ISBN: (纸本)3540405224

We present TAPLI, an adaptive web-based learning environment for Linear programming. TAPLI is a set of adaptive tools offered in a web-based learning environment: a) an adaptive hypermedia component, that is responsible of presenting the learning contents;b) a testing component, based on Item Response Theory and c) a drill-and-practice component, which adaptively generates exercises and coaches the student while solving them.

关键词： Computer aided instruction

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Optimal Allocation of Photovoltaic (PV) System Incorporating Energy Storage System (ESS) using Evolutionary programming (EP) for Power System Reliability 3

Optimal Allocation of Photovoltaic (PV) System Incorporating...

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IEEE 3rd international conference on Power engineering Applications (ICPEA) - Shaping Sustainability Through Power engineering Innovation

作者： Abidin, Sharifah Basyirah Syed Zainal Othman, Muhammad Murtadha Ahmadipour, Masoud Hasan, Kamrul Univ Teknol MARA Sch Elect Engn Coll Engn Shah Alam Selangor Malaysia

ISBN: (纸本)9781665475013

Net Zero Carbon 2050 requires a shift to renewable energy (RE) such as the photovoltaic system. However, the uncertainty of RE will cause electrical system interruptions, excess energy output, and a lack of electricity supply. Energy storage systems (ESSs) can be used to solve supply problems, but they should consider the reliability component of the power system. It is important to assess the impact of RE incorporated ESS for reliability studies. Optimal allocation of RE incorporating ESS needs to be tackled to ensure the grid failures and their impacts. This research shows the optimal allocation of RE with ESSs for power system reliability. The Force Outage Rate (FOR) for the energy storage system, photovoltaic system, and weather conditions was obtained from the development of each Markov model. Then, each FOR is combined to get the new FOR. The value of LOLE must be below 0.1 per year or 2.4 hours per year and the value of EUE should close to zero. Accordingly, this paper shows that the optimal allocation of PV incorporating ESS that minimizes the LOLE and EUE while satisfying the installation target and constraints on reliability indices.

关键词： Photovoltaic (PV) Energy Storage System (ESS) Force Outage Rate (FOR) Loss of Load Expectation (LOLE) Expected Unserved Energy (EUE) Evolutionary programming (EP)

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Macros that compose: Systematic macro programming 1

Macros that compose: Systematic macro programming

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1st international conference on generative programming and component engineering

作者： Kiselyov, O USN Postgrad Sch Software Engn Monterey CA 93943 USA

ISBN: (纸本)3540442847

Macros are often regarded as a sort of black magic: highly useful yet abstruse. The present paper aims to make macro programming more like a craft. Using R5RS Scheme macros as an example, we develop and present a general practical methodology of building complex macros systematically, by combining simpler components by functional composition or higher-order operators. Macro programming is complex because the systematic approach does not apply to many macros. We show that macros and other head-first normal-order re-writing systems generally lack functional composition. However, macros written in a continuation-passing style (CPS) always compose. Making CPS macros practical still requires an encoding for macro-continuations. We have found this missing piece, with an insight for anonymous macro-level abstractions. In the specific case of R5RS macros, this paper presents a stronger result: developing R5RS macros by a translation from the corresponding Scheme procedures. We demonstrate the practical use of the technique by elaborating a real-world example.

关键词： Artificial intelligence

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Software defect prediction using dimensionality reduction and deep learning 3

Software defect prediction using dimensionality reduction an...

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3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Massoudi, Massoud Jain, Nameet Kumar Bansal, Pranay Parwan University Software Engineering Department Charikar Afghanistan Delhi Technological University Department of Computer Engineering Delhi India

ISBN: (纸本)9780738111834

Software Defect Prediction is a significant angle to guarantee programming quality. Deep Learning methods can likewise be utilized for the same. In this paper, we propose to extract a bunch of expressive features from an underlying arrangement of essential change measures using different dimensionality techniques namely PCA and Kernel PCA, and then train a classifier based on the extracted features using Decision tree and Artificial Neural Networks. We utilize five open source datasets from NASA Promise Data Repository to play out this comparative study. For evaluation, we have used three widely used metrics: Accuracy, F1 scores and Areas under Receiver Operating Characteristic curve. It is found that Kernel PCA along with Artificial Neural Network as a classifier outperformed all the other techniques. © 2021 IEEE.

关键词： Principal component analysis

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Methodologies in Face Recognition for Surveillance 3

Methodologies in Face Recognition for Surveillance

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3rd international conference on Computational Systems and Information Technology for Sustainable Solutions, CSITSS 2018

作者： Bhat, Pavithra S. G. Dharani, Andhe Department of Master of Computer Applications Rashtreeya Vidyalaya College of Engineering Bengaluru Karnataka India

ISBN: (纸本)9781538660782

Face recognition being the most significant part of the biometrics and video surveillance systems has to deal with many challenges like pose, illumination, distance, expression variations along with occlusion, low resolution and noise. This paper analyses the latest approaches and methodologies adapted by Face Recognition systems in overcoming the challenges with the focus on their performance on publicly available bench-mark face databases. Few of the approaches discussed in this paper are Local Binary Pattern technique, Reference Face Graph framework, Principal component Analysis algorithm, Linear Discriminant Analysis algorithm, MLP Neural Networks, 3D Modeling, Back Propagation Neural Network, Local Pavithra S G Bhat Gradient Hexa Pattern descriptor, FPGA based architecture, Conditional generative Adversarial Networks and Trunk-Branch Ensemble Convolutional Neural Networks. This paper provides an insight for selection of an approach for future researchers and practitioners for real world implementation. © 2018 IEEE.

关键词： Face recognition

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Analysis of electro-active polymer bending: A component in a low cost ultrathin scanning endoscope

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SENSORS AND ACTUATORS A-PHYSICAL 2007年第2期133卷 506-517页

作者： Yoon, W. Jong Reinhall, Per G. Seibel, Eric J. Univ Washington Dept Engn Mech Seattle WA 98195 USA

The development of a low-cost active tip bending system for a scanning fiber endoscope or catheterscope has been initiated and proof-of-concept fabrication and testing have been conducted. The actuator material chosen for the design is an ionic conductive polymer metal composites (IPMC) type electro-active polymer (EAP). IPMC materials are inexpensive, especially in small sizes required for ultrathin scopes, allowing the possibility of an active-bending mechanism for the single-use endoscope. The charge and the strain distribution across the 200 mu m thick membrane are simulated using finite element analysis (FEA). The deformation results from the numerical analysis agree within 8.5% error of the experimental outcome. An IPMC strip actuator made from a Nafion (c) membrane and a platinum-plating recipe is developed. The generative force of the actuator is measured and demonstrated to be sufficient to lift the rigid tip of the scanning fiber endoscope. Therefore, this IPMC material is a candidate to be used as a low-cost active bending mechanism for the ultrathin scanning fiber endoscopes and future catheterscopes. (c) 2006 Elsevier B.V. All rights reserved.

关键词： active tip bending scanning fiber endoscope catheter ionic conductive polymer metal composites (IPMC) single-use low-cost

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Concept-controlled polymorphism

Concept-controlled polymorphism

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2nd international conference on generative programming and component engineering

作者： Järvi, J Willcock, J Lumsdaine, A Indiana Univ Open Syst Lab Bloomington IN 47405 USA

ISBN: (纸本)3540201025

Concepts - sets of abstractions related by common requirements have a central role in generic programming. This paper proposes a general framework for using concepts to control polymorphism in different ways. First, concepts can be used to constrain parametric polymorphism, as exemplified by type classes in Haskell. Second, concepts can be used to provide fine-grained control of function and operator overloading. Finally, generic functions can be overloaded (specialized) based on concepts, rather than simply on types. We describe a C++ implementation of a new mechanism, which we call enable-if, and its role in concept-controlled polymorphism.

关键词： C++ (programming language)

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An extension to the subtype relationship in C++ implemented with template metaprogramming

An extension to the subtype relationship in C++ implemented ...

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2nd international conference on generative programming and component engineering

作者： Zólyomi, I Porkoláb, Z Kozsik, T Eotvos Lorand Univ Dept Comp Sci H-1117 Budapest Hungary

ISBN: (纸本)3540201025

Families of independent classes, where each class represents a separate, orthogonal concern are highly attractive for implementing collaboration-based design. However, required subtype relationship between such families cannot be expressed in many programming languages. This paper presents a framework to handle collaborating groups of classes using template metaprogramming based on standard C++ features in the style of Loki: :Typelist. Our solution provides tailor-made implicit conversion rules between appropriate groups, inclusion polymorphism and a tool for dynamic binding.

关键词： C++ (programming language)

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Bearing Condition Recognition Based on Kernel Principal component Analysis and Genetic programming

Bearing Condition Recognition Based on Kernel Principal Comp...

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3rd international conference on Advanced Design and Manufacturing engineering (ADME 2013)

作者： Liu, Wenbin He, Yuxin Wang, Huaqing Yang, Jianfeng Beijing Univ Chem Technol Chem Safety Engn Res Ctr Minist Educ Beijing 100029 Peoples R China

ISBN: (纸本)9783037858431

In order to extract the fault feature validity in early fault diagnosis, method based on kernel principal component analysis and genetic programming (GP) is presented. The time domain features of the vibration signal are extracted and the initial symptom parameters (SP) are constructed. Then the combination to the initial SPs is carried on to optimize and build composite characteristics by GP. Through kernel principal component analysis (KPCA), the nonlinear principal component of the original characteristics is produced. Finally, the nonlinear principal components are selected as the feature subspace to classify the conditions of rolling bearing. Meanwhile, the within-class and among-class distance is introduced to compare and analyze the bearing condition recognition effect by using KPCA and GP plus KPCA separately. Experimental results show that the features extracted by kernel principal component analysis and genetic programming perform better ability in identifying the working states of the rolling bearing.

关键词： fault diagnosis genetic programming feature extraction kernel principal component analysis

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Retrieving software components using directed replaceability distance 3rd

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3rd international conference on generative and component-Based Software engineering, GCSE 2001

作者： Washizaki, Hironori Fukazawa, Yoshiaki Department of Information and Computer Science Waseda University 3-4-1 Okubo Shinjuku-ku Tokyo169-8555 Japan

ISBN: (纸本)3540425462

In component-based software development, the mechanism by which the software components which best satisfy a user’s query are retrieved is indispensable. However, conventional retrieval methods cannot evaluate the total characteristics of a component, because they consider a single aspect of the component or require an additional description. In this paper, we propose a new distance metric, "directed replaceability distance" (Drd), which represents how different two components are in detail from the viewpoint of structure, behavior, and granularity. We have developed a retrieval system which uses Drd as a measure of the difference between a user’s query prototype component and the components stored in a repository. In this paper, we outline the concept of Drd and the usefulness of our retrieval system. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Information retrieval

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