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Soft Computing and Signal Processing 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Jiacun Wang G. Ram Mohana Reddy V. Kamakshi Prasad V. Sivakumar Reddy

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Examinations Timetabling System Based on A Genetic Algorithm

Examinations Timetabling System Based on A Genetic Algorithm

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2022 International Conference on engineering and MIS, ICEMIS 2022

作者： Mohammed, Mousa F Abobaker, Rema A. Aljalil, Asma M. Maatuk, Abdelsalam M Omar Al-Mukhtar University Faculty of Science Department of Computer Science Al-Bayda Libya University of Benghazi Department of Software Engineering Benghazi Libya

ISBN: (数字)9781665454360

ISBN: (纸本)9781665454360

Examination timetabling is a complicated issue that is part of the larger field of scheduling. Timetabling comes in a variety of forms based on the field, for which it is used. In this paper, we explore the problem of exam timetabling in a university. This problem had been defined as difficult to solve since it is generally done by hand over several days or weeks of iterative correction based on feedback from staff and students. We designed a computer-based application to generate an automated exam scheduler that was implemented on the data collected from the Faculty of Science at Omar Al-Mukhtar University. We study the problem of examination scheduling for the faculty intensely and propose a genetic algorithm based on a strategy for generating examination schedules that prioritize students' achievement while meeting the hard constraints required for feasibility. Finally, an application entitled 'Examination Scheduler' has been developed and evaluated to confirm that it generates satisfactory results. © 2022 IEEE.

关键词： Genetic algorithms

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A combined hardware/software measurement for ARM program execution time

A combined hardware/software measurement for ARM program exe...

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16th National Conference on computer engineering and Technology, NCCET 2012

作者： Kong, Liangliang Jiang, Jianhui Department of Computer Science and Technology Tongji University Shanghai 201804 China School of Software Engineering Tongji University Shanghai 201804 China

ISBN: (纸本)9783642358975

In present there is no accurate end-to-end dynamic measurements for ARM program execution time, because the measurement results given by hardware counters in ARM microprocessors are not precise enough and the timing cost of instrument methods is difficult to be calculated. Therefore, this paper proposes a combined hardware/software measurement for ARM program execution time. It sets the precision of measurement in the system boot loader code, encapsulates the access to timers in the kernel of Linux, and then measures the execution time of the program by the timer and its corresponding interrupt during the execution of the program. Experimental results have shown that comparing with instrument methods and hardware counters, our method is an efficient way to obtain accurate and precise execution time measurements for ARM programs. Additional experiments performed by the combination of curve fitting techniques and our method have shown the method can be used to predict the execution time of program under different input data. © 2013 Springer-Verlag.

关键词： Real time systems

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Image Inpainting and Classification Agent Training Based on Reinforcement Learning and Generative Models with Attention Mechanism

Image Inpainting and Classification Agent Training Based on ...

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2021 International Conference on Microelectronics, ICM 2021

作者： Ukwuoma, Chiagoziem C. Belal Bin Heyat, Md Masadeh, Mahmoud Akhtar, Faijan Zhiguang, Qin Bondzie-Selby, Emmanuel Alshorman, Omar Alkahtani, Fahad University of Electronic Science and Technology of China School of Information and Software Engineering Sichuan Chengdu China Shenzhen University IoT Research Center College of Computer Science and Software Engineering Guangdong Shenzhen China Yarmouk University Hijjawi Faculty for Engineering Computer Engineering Deprtment Irbid21163 Jordan University of Electronic Science and Technology of China School of Computer Science and Engineering Sichuan Chengdu China Najran University Faculty of Engineering AlShrouk Trading Company Najran Saudi Arabia Najran University Faculty of Engineering Electrical Engineering Department Najran Saudi Arabia

ISBN: (纸本)9781665408394

What distinguishes the field of artificial intelligence (AI) from others is to develop fully independent agents that learn optimal behavior, change, and evolve solely through the communication of trial and error with the surrounding environment. Reinforcement learning (RL) can be seen in multiple aspects of Machine Learning (ML), provided the environment, reward, actions, the state will be defined. Agent training in previous years is seen to only relate to robotics, games, and self-driving cars. While trying to divert the focus of researchers from the view of self-driving cars, games, robots, etc. Here, we investigated using reinforcement learning in the aspect of task completion. We deployed our architecture in an inpainting task where the agent generates the distorted or missing image content into an eminent fidelity completed the image by using reinforcement learning to influence the generative model utilized. The Generative Adversary Network (GAN) problem of not being steady and challenging to train was overwhelmed by utilizing latent space representation. The dimension is reduced compared to the distorted or corrupted image in training the GAN. Then reinforcement learning was deployed to pick the correct GAN input to get the image's latent space representation that is most suitable for the current input of the missing or distorted image region. In this paper, we also learned that the trained agent enhances the accuracy in a classification task of images with missing data. We successfully examined the classification enhancement on images missing 30%, 50%, and 70%. © 2021 IEEE.

关键词： Reinforcement learning

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PARALLEL EMBEDDED SYSTEMS: WHERE REAL-TIME AND LOW-POWER MEET 21

PARALLEL EMBEDDED SYSTEMS: WHERE REAL-TIME AND LOW-POWER MEE...

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21st International Conference on Parallel and Distributed Computing and Communication Systems, PDCCS 2008

作者： Karakehayov, Zdravko Guo, Yu Department Computer Systems Technical University of Sofia Sofia Bulgaria University of Southern Denmark Software Engineering Group Sønderborg Denmark

ISBN: (纸本)9781605604480

This paper introduces a combination of models and proofs for optimal power management via Dynamic Frequency Scaling and Dynamic Voltage Scaling. The approach is suitable for systems on a chip or microcontrollers where processors run in parallel with embedded peripherals. We have developed a software tool, called CASTLE, to provide computer assistance in the design process of energy-aware embedded systems. The tool considers single processor and parallel architectures. An example shows an energy reduction of 23% when the tool allocates two microcontrollers for parallel execution. Copyright © 2008 by the International Society for computers and Their Applications (ISCA). All rights reserved.

关键词： Microcontrollers

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Services supporting management of distributed applications and systems

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IBM Systems Journal 1997年第4期36卷 508-525页

作者： Bauer, M.A. Bunt, R.B. El Rayess, A. Finnigan, P.J. Kunz, T. Lutfiyya, H.L. Marshall, A.D. Martin, P. Oster, G.M. Powley, W. Rolia, J. Taylor, D. Woodside, M. Middlesex College Department of Computer Science University of Western Ontario London ONT Canada Department of Computer Science University of Saskatchewan Saskatoon SAS Canada IBM Software Solutions Division Toronto Laboratory North York ONT Canada Department of Computer Science University of Waterloo Waterloo ONT Canada Department of Computer Science Middlesex College University of Western Ontario London ONT Canada Department of Computer Science Middlesex College University of Western Ontario London ONT Canada Department of Computing and Information Science Queen''s University Kingston ONT Canada Department of Systems and Computer Engineering Carleton University Ottawa ONT Canada Department of Systems and Computer Engineering Carleton University Ottawa Canada

A distributed computing system consists of heterogeneous computing devices, communication networks, operating system services, and applications. As organisations move toward distributed computing environments, there will be a corresponding growth in distributed applications central to the enterprise. The design, development, and management of distributed applications presents many difficult challenges. As these systems grow to hundreds or even thousands of devices and similar or greater magnitude of software components, it will become increasingly difficult to manage them without appropriate support tools and frameworks. Further, the design and deployment of additional applications and services will be, at best, ad hoc without modelling tools and timely data on which to base design and configuration decisions. This paper presents a framework for management of distributed applications and systems. The framework is based on a set of common management services that support management activities. The services include monitoring, control, configuration, and data repository services. A prototype system built on the framework is described that implements and integrates management applications providing visualisation, fault location, performance monitoring and modelling, and configuration management. The prototype also demonstrates how various management services can be implemented.

关键词： Distributed computer systems

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Best practices in iPhone programming: Model-view-controller architecture Carousel component development

Best practices in iPhone programming: Model-view-controller ...

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IEEE EUROCON-International Conference on computer As A Tool

作者： Iulia-Maria, Tabacu Ciocarlie, Horia Computer and Software Engineering Department Politehnica University of Timişoara V. Prvan street 2 300223 Timişoara Romania

ISBN: (纸本)9781424474868

The current work presents the main steps and best practices in iPhone programming [1], starting from the idea of realizing a nice and simple "Carousel" view, which will be included as element in a multimedia application. When we refer to best practices we take into consideration all the elements of an application development process, exemplified this time in Objective C language [2], and including specific iPhone development characteristics over a simple basic Model-ViewController architecture. © 2011 IEEE.

关键词： Smartphones

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Image comparison using symmetrical color-spatial feature

Image comparison using symmetrical color-spatial feature

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Feng, Zhong-Hui Zhou, Bing Shen, Jun-Yi Pan, Ding Institute of Computer Software Xi'an Jiaotong University Xi'an 710049 China Department of Computer Science and Engineering Northeastern University at Qin Huangdao Qin Huangdao 066004 China

ISBN: (纸本)078039092X

Color feature of an image is the most common used feature in content-based image retrieval (CBIR) systems. Combining the traditional color-histogram with some spatial information will greatly increase the accuracy of matching two color images. One advantage of color feature is that it is independent to the distortion of an image. However, with the introducing of spatial information, this advantage will disappear. In this paper, we propose a new method to compare two images, which based on symmetrical color-spatial feature (SCSF). Our experiments show that the SCSF is independent to the symmetrical distortion of an image, such as rotation and flip. © 2005 IEEE.

关键词： Image processing

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Clustering model based on RBM encoding in big data 4th

Clustering model based on RBM encoding in big data

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4th International Conference on Cloud Computing and Security, ICCCS 2018

作者： Yuan, Lina Xiao, Xinfeng Li, Fufang Deng, Ningning South China Institute of Software Engineering GU Guangzhou University ConghuaGuangzhou510990 China Department of Mechanical and Electric Engineering Guangdong Polytechnic of Environmental Protection Engineering FoshanGuangdong528216 China School of Computer Scuence and Educational Software Guangzhou University Guangzhou510006 China

ISBN: (纸本)9783030000059

In this paper, a clustering model based on deep learning RBM encoding is proposed for the further data mining of the massive, complex and high-dimensional data. This model includes two major parts: pre-training and fine-tuning & optimization. In the pre-training part, proper parameters are adopted for RBM encoding to reduce the high-dimensional and large-scaled data, and then pre-clustering is done with k-means and other algorithms. The fine-tuning & optimization part is developed from the deep structure of pre-training to form a deep fine-tuning, and network is initialized with the parameters generated from the pre-training, and then the initial clustering center generated from pre-training process is further clustered and optimized. At the same time, encoding features are optimized and the final clustering center and membership matrix are obtained. In order to validate this model, some data are selected from the UCI dataset for clustering comparison. It is indicated in the data analysis that this clustering model based on RBM encoding has little impact on the clustering effect, but the execution is more efficient. © Springer Nature Switzerland AG 2018.

关键词： Big data

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Service failure prediction in supply-chain networks

Service failure prediction in supply-chain networks

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2018 IEEE International Conference on Big Data, Big Data 2018

作者： Sharma, Monika Glatard, Tristan Gélinas, Éric Tagmouti, Mariam Jaumard, Brigitte Department of Computer Science and Software Engineering Concordia University MontréalQC Canada ClearDestination Inc MontréalQC Canada

ISBN: (纸本)9781538650356

We aim to predict and explain service failures in supply-chain networks, more precisely among last-mile pickup and delivery services to customers. We analyze a dataset of 500,000 services using (1) supervised classification with Random Forests, and (2) Association Rules. Our classifier reaches an average sensitivity of 0.7 and an average specificity of 0.7 for the 5 studied types of failure. Association Rules reassert the importance of confirmation calls to prevent failures due to customers not at home, show the importance of the time window size, slack time, and geographical location of the customer for the other failure types, and highlight the effect of the retailer company on several failure types. To reduce the occurrence of service failures, our data models could be coupled to optimizers, or used to define counter-measures to be taken by human dispatchers. © 2018 IEEE.

关键词： Association rules

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