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检索条件"任意字段=4th International Conference on Art, Science, and Engineering of Programming, Programming 2020"

共 1465 条记录，以下是1411-1420 订阅

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Improved Fireworks Optimization Algorithm for Multi-product Human-robot Collaborative Hybrid Disassembly Line Balancing

Improved Fireworks Optimization Algorithm for Multi-product ...

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IEEE international conference on Human-Machine Systems

作者： Feng Guo Xiwang Guo Jiacun Wang Weitian Wang Jinrui Cao Imane Bigaume Information and Control Engineering Liaoning Petrochemical University Fushun China Computer Science and Software Eng. Monmouth University Wes Long Branch New Jersey USA School of Computing Montclair State University Montclair USA Computer Science Department New Jersey City University Jersey City USA

ISBN: (数字)9798350315790

ISBN: (纸本)9798350315806

In the remanufacturing process, the efficient disassembly of end-of-life (EOL) products assumes paramount significance for recycling endeavors. this work introduces a novel disassembly model aiming at enhancing disassembly efficiency within a hybrid disassembly line through the strengths of humanrobot collaboration. In order to optimize the generation of disassembly sequences, this work proposes an improved fireworks optimization algorithm (IFW) that combines uniform mutation and two-point crossover methods. Afterwards, the model’s validity and algorithmic accuracy are substantiated using the CPLEX solver (a commercial solver). Furthermore, a comparative analysis and evaluation against alternative algorithms, such as salp swarm algorithm (SSA) and whale optimization algorithm (WOA), demonstrate a better stability of the proposed algorithm in the human-robot collaborative hybrid disassembly line balancing problem.

关键词： Accuracy Human-machine systems Collaboration programming Stability analysis Whale optimization algorithms Recycling

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Software Adaptive Mechanism Based on Software Architecture in Software Running Time

Software Adaptive Mechanism Based on Software Architecture i...

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2015 4th international conference on Mechatronics,Materials,Chemistry and Computer engineering(ICMMCCE 2015)

作者： Haiyun XIANG Xiao FU Xu LI Modern Educational Technology Center Southwest Petroleum University College of Computer Science Southwest Petroleum University

In the Internet environment, software gradually moves from closed, static and controllable status towards open, dynamic and unpredictable state. How to propose suitable software theory for such adaptive software has become the challenging issue facing the computer science and technology. Applicable formal theoretical basis is one of signs that software technology achieves maturity, while support for protocol, analysis and verification of adaptive software architecture is inadequate in existing mobile and concurrent theories. Although the software architecture technology has now entered into the golden era of development, there are still many issues to be resolved, one of which is the need for effective mechanism to describe, analyze and verify software architecture. Bigraph puts emphasis on two factors of calculated position and connection on the basis of the existing theories, and a relatively complete and extensible theoretical framework is established. Nowadays, bigraph theory has now begun to be applied, and studies are gradually carried out on extension and shift of bigraph theory basis, description of concurrency theory, bigraph logic, modeling of pervasive computing system, and BPL programming language of bigraph. Hence, bigraph theory can provide a solid foundation for the formal methods of adaptive software architecture.

关键词： Bigraph Response System Adaptive Software Software Architecture Formal Methods

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Particle-based Fluid Simulation with Small Scale Details

Particle-based Fluid Simulation with Small Scale Details

引用

2014 4th IEEE international conference on Information science and Technology

作者： Zhuchao Chen Jing Qin Weixin Si Tien-Tsin Wong Pheng-Ann Heng Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Department of Computer Science and Engineering The Chinese University of Hong Kong

Realistically and real-time animated fluids simulation has become one of the greatest challenging area in computer graphics(CG). We propose a particle-based method to reproduce small-scale details of fluids. By incorporating vorticity confinement term into the Smoothed Particle Hydrodynamics(SPH), a widely used Lagrangian fluid solver, we can capture the smallscale vortical motions of water efficiently. In contrast to the conventional Eulerian grid-based approaches, the proposed SPH scheme integrated with the vorticity confinement takes few extra programming efforts, memory usage, and computational *** results demonstrate the potential of the proposed method in providing real-time and realistic water animation.

关键词： simulation Particle-based Fluid Simulation with Small Scale Details

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Analysis on Computer Communication Network and the Framework of the Network Security Technologies

Analysis on Computer Communication Network and the Framework...

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2017 4th international conference on Machinery,Materials and Computer(MACMC 2017)

作者： Fengquan Li Xi'an International University

ISBN: (纸本)9781510871038

As the popularity of the computer technology and the constant development of communication technology, the application of the information technology was utilized more widely. Under this background, the issue of network security is exposed gradually. Especially the communication network, it is the core part of the communication system, so it is very important in the whole system. At present, the issue of network security becomes stubborn so that it influences the daily work and life of the public. In order to strengthen the construction of information security, and improve the network security, it is necessary to deeply analyze the network security technology, and then to bring forward the targeted countermeasures. According to the relevant materials, the writer of this thesis takes the present situation of the computer communication network as the breakthrough point, and then discusses and analyzes framework of the network security technologies. In the developmental trend of information technology, the network communication becomes more and more popular, but it also brings about some problems on the security field. In one hand, the network information technology privies the strong driving force to the development of the economy and the society, and most of the industries take the best of this technology and becomes stronger and stronger;but, in the other hand, we have to accept that there still are some defects which could bring about some serious problems. the communication network is suffering the security risks every minutes, no matter these risks are brought about by the defects of the network or the risks that are caused by the defects of the operation system on which the network is run, even the mistakes of the operators, these all could bring about serious threats to the whole communication system, such as the reveal of the confidential data, system failure, etc, they all could bring about the negative influences to the daily production and life of the public

关键词： Computer Communication Network Framework of Security Technologies Network Security

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Accelerating Digital Image Compression Using CUDA

Accelerating Digital Image Compression Using CUDA

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2010 4th international conference on Intelligent Information Technology Application (IITA2010)

作者： Huifang DENG School of Computer science and engineering South China University of Technology,University Town,51006,Guangzhou,China Zhihong GUO School of Software engineering South China University of Technology,University Town,51006,Guangzhou,China Chunhui DENG Department of Computer engineering Guangzhou Auto College South China University of Technology No.1 Xue Fu Road,Huadu,510800 Guangzhou,China

General-purpose computing on graphics processing unit (GPGPU) has been applied to many different fields from solving mathematical problem to a protein folding simulation with remarkable *** has been achieved because the computing power of the latest GPU architecture has significantly overtaken the existing commonly used CPU,and the new NVIDIA CUDA (Compute Unified device Architecture) technology makes GPU programming easier than *** this paper,we present a JPEG digital image compression on GPU using a new CUDA *** have implemented JPEG digital image compression on GPU and CPU respectively in two different testing system *** experiment has shown that JPEG digital image compression using CUDA technology is able to achieve a performance improvement of 50-107 times over the compression on CPU.

关键词： CUDA digital image GPGPU NVIDIA digital compression

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Social Distancing and Face Mask Monitoring System Using Deep Learning Based on COVID-19 Directive Measures

Social Distancing and Face Mask Monitoring System Using Deep...

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international conference on Computer and Communications Technologies (ICCCT)

作者： S Swetha J. Vijayalakshmi S Gomathi Department of computer science Department of Information Technology Sri Sairam Engineering college Chennai

ISBN: (纸本)9781665414487

We, the entire world is in the lock of a micro size virus named Corona we are in the urge of saving our life rather than the money. this virus had changed the attitude of people from generations together, in this two years people realized that their health worth more than their net worth. We are in an uncertain situation but, we can bring the world back to normal so, we need to follow the guidelines issued by the health organizations so our government insisted people wear the mask and maintain social distance to control the spread of the disease but 90% percent of people not following covid guidelines. the main motive in this paper, mask detection on face with social distancing which helps to overcome this pandemic situation. Our proposed system comprises of data processing, data augmentation, image classification using mobilenetv2 and object detection plays a vital role in this paper. the modules are developed using TensorFlow and open-cv python programming to detect the faces with mask. If a person wears a mask they will be in a safe zone and the system shows a green box where if the person doesn't wear a mask, then it will be shown in a red box and with the message of alert as well. Social distancing detection will detect that two or more person in a single frame are walking with maintaining social distancing with at least 2 meters of range with each other using the Euclidean distance method, it will work in a Reliable manner with accurate results during this current situation which will easily help to track the person and collect fine if they violate any government directive guidelines so our system, will prevent the spread of the disease. Every Automation process reduces manual inspection to inspect the people which can be used in public places to control the spread of the virus and this prototype could be used in many places like park, hospital, airports, temples, railway station etc. to control this pandemic situation

关键词： Pandemics Government Process control Prototypes Human factors Social factors Rail transportation

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Architectural support for safe software execution on embedded processors

Architectural support for safe software execution on embedde...

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international conference on Hardware/Software Codesign and System Synthesis (CODES)

作者： Niraj K. Jha Srivaths Ravi Anand Raghunathan Divya Arora Department of Electrical Engineering Princeton University Princeton NJ USA NEC Laboratories of America Inc. Princeton NJ USA

the lack of memory safety in many popular programming languages, including C and C++, has been a cause for great concern in the realm of software reliability, verification, and more recently, system security. Despite their limitations, the flexibility, performance, and ease of use of these languages have made them the choice of most embedded software developers. Researchers have proposed various techniques to enhance programs for memory safety; however, they are all subject to severe performance penalties, making their use impractical in most scenarios. In this paper, we present architectural enhancements to enable efficient, memory-safe execution of software on embedded processors. the key insight behind our approach is to extend embedded processors with hardware that significantly accelerates the execution of the additional computations involved in memory-safe execution. Specifically, we design custom instructions to perform various kinds of memory-safety checks and augment the instruction set of a state-of-the-art extensible processor (Xtensa from Tensilica, Inc.) to implement them. We demonstrate the application of the proposed architectural enhancements using CCured, an existing tool for type-safe retrofitting of C programs. the tool uses a type-inferencing engine that is built around strong type-safety theory and is provably safe. Simulations of memory-safe versions of popular embedded benchmarks on a cycle-accurate simulator modeling a typical embedded system configuration indicate an average performance improvement of 2.3 times, and a maximum of 4.6 times, when using the proposed architecture. these enhancements entail minimal (less than 10%) hardware overhead to the base processor. Our approach is completely automated, and applicable to any C program, making it a promising and practical approach for addressing the growing security and reliability concerns in embedded software.

关键词： Embedded software Software safety Security Hardware Computer languages Software reliability Acceleration Embedded computing Engines Embedded system

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Optimizing Linear Regression Models: A Comparative Study of Error Metrics

Optimizing Linear Regression Models: A Comparative Study of ...

引用

Technological Advancements in Computational sciences (ICTACS), international conference on

作者： Prabin Dumre Somnath Bhattarai H.K. Shashikala Department of Computer Science and Engineering Faculty of Engineering and Technology (FET) Jain (Deemed-to-be University) Bangalore Karnataka

ISBN: (数字)9798350387490

ISBN: (纸本)9798350387506

A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of predictive modeling is linear regression, which examines the relationships between independent and dependent variables, is a crucial part of predictive modelling. In this work, a comparative evaluation of these error measures with an emphasis on linear regression model optimization. Our results show that the selection of error measures has a substantial impact on model optimization and evaluation, with different effects for different datasets and model configurations. three separate datasets are included in the analysis: Iris, Wine Quality, and California Housing. We assess the four-error metrics' performance for every dataset. Because of its outlier sensitivity, MSE is a good choice for applications where outlier minimization is a top priority. Due to its ability to withstand outliers, MAE can be used with noisy datasets. RMSE routinely beats other metrics by finding a balance between robustness and precision. there are important practical ramifications: RMSE performs well when accurate forecasts are critical, whereas MAE is useful when outlier information is important. Because it minimizes the impact of outliers, mean square error (MSE) is especially appropriate for specific types of datasets. Our research provides insightful information about whether to use error measures to match objectives with features of the data. Selecting the appropriate assessment measure is essential for optimizing models and making decisions, increasing the precision of model assessment in practical scenarios. this research improves the accuracy of model evaluation across a range of real-world applications by providing practitioners with the ability to make well-informed decisions regarding error metric selection.

关键词： Analytical models Accuracy Sensitivity Computational modeling Measurement uncertainty Linear regression Predictive models programming Robustness Optimization

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the Course Construction of Case Analysis of Financial engineering

The Course Construction of Case Analysis of Financial Engine...

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4th international conference on Social science and Higher Education(ICSSHE 2018)

作者： Xin Sui Sige Wang Junjie Wang Bingbing Fu School of Finance Nanjing University of Finance and Economics

In recent years, the competitions among financial institutions have become more and more intense. In such a case,financial institutions' demands for talented persons with solid financial engineering expertise are increasing day by day. At the same time, considering that risk management is one of the core tasks of financial engineering, the continuous development of internet finance also increases the demands for talented persons whose majors are financial engineering. While the course construction of case analysis of financial engineering helps students to apply what they have learned to practical *** is no doubt that the course construction of case analysis of financial engineering plays an important role in improving professional qualities of the students of financial *** the aforementioned factors, the paths of the course construction of case analysis of financial engineering are analyzed from the following aspects in this paper: core tasks of financial engineering, disciplinary crossing and integration,selection of cases of financial engineering, servicing the needs of students' development, setting up the corresponding pre-courses,construction methods, laboratory conditions and other principles that need our attention.

关键词： Financial engineering Case analysis programming design engineering thinking

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Combining ROF and LLT Models into Video Image Deblurring with Multithreads

Combining ROF and LLT Models into Video Image Deblurring wit...

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2011 4th IEEE international conference on Computer science and Information Technology(ICCSIT 2011)

作者： Zou Shufang Yunnan Radio&TV University Kunming 650223,China Jiang Murong ,Wang Xin,Miao Yi,Yin Xiaoli School of Information science and engineering Yunnan University Kunming 650091,China

In PDE-based deburring image computation,the total variational model proposed by Rudin,Osher and Fatemi (ROF)is often be *** the numerical iterations increase, ROF model may produce the staircase effect while deblurring the noise *** model proposed by Lysaker, Lundervold and Tai can protect more the fine image textures, but its deblurring result and boundary protection are lower effectively than ROF *** them by using the weight function may create more advantages in removing the noise,enhencing the boundary,protecting the smooth region and fine *** this paper,we first analyze ROF model and its diffusion behavior,then combine ROF and LLT model to form an integrated model by choosing the weight parameter, detail the parallel implementation with multithreads programming using *** experimental results show that this model has a better deblurring for remove the noise and protect the texture.

关键词： image deblurring ROF model LLT model multithreads.

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