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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1140 条记录，以下是881-890 订阅

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Revolutionizing the Driving Experience : Enhancing Safety and Comfort Using ADAS

Revolutionizing the Driving Experience : Enhancing Safety an...

引用

international conference on Computing Communication Control and Automation (ICCUBEA)

作者： Aditya Kelkar Digvijay Jondhale Rugved Borade Ishan Juneja Yuvraj Haran Rajendra G. Pawar School of Computer Engineering & Technology MIT World Peace University Pune Maharashtra Department of Computer Science Engineering MIT School of Computing MIT Art Design and Technology University Pune India

Advanced Driver Assistance Systems, or ADAS for short, are a group of technologies intended to help drivers operate their automobiles more safely and effectively. these systems often employ sensors, cameras, and other gadgets to keep an eye on the surroundings of the car and give the driver alerts or help in a multitude of circumstances, like lane departure, accident avoidance, and parking. Modern vehicles are increasingly utilizing ADAS technologies, which are regarded as an important first step towards completely autonomous vehicles.

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Neural Network-Accelerated Trajectory Optimization for Launch Vehicle Landing

Neural Network-Accelerated Trajectory Optimization for Launc...

引用

IEEE international conference on Control science and Systems engineering (CCSSE)

作者： Zhipeng Shen Shiyu Zhou Jianglong Yu Hailong Huang Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic University Hong Kong China Department of Biomedical Engineering City University of Hong Kong Hong Kong China School of Automation Science and Electrical Engineering Beihang University Beijing China

this paper presents a novel trajectory optimization method for the 6-degrees-of-freedom powered landing problem in aerospace guidance and control. the method combines machine learning and convex optimization to achieve real-time performance. Specifically, we formulate the powered landing problem as an optimal control problem and transform it into a convex optimization problem. To enhance the state-of-the-art sequential convex programming (SCP) algorithm, we use a deep neural network as an initial trajectory generator to provide a satisfactory initial guess for the SCP algorithm. Simulation results show that the proposed method achieves precise guidance of the vehicle to the landing site. Monte Carlo tests demonstrate that it can save an average of 40.8% of the computation time compared to the SCP method. therefore, the proposed scheme is suitable for real-time applications in the aerospace industry.

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the New INLINE Hook Technology Combination of Hard-code Technology and Independent Code Injection

The New INLINE Hook Technology Combination of Hard-code Tech...

引用

2016 IEEE 7th international conference on Software engineering and Service science

作者： Yuchen Song Yongjun Shen Guidong Zhang School of Information Science & Engineering Lanzhou University

API Hook technology is a kind of advanced programming technology,which is used for large number of *** is the main method of IAT HOOK and INLINE *** article combines the hard-coded technique,independent code injection... 详细信息

关键词： API HOOK hard-coded technology independent code injection machine code

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Design and Implementation of Low-Voltage Distribution Line Load Pre-Balanced System Based on Commutation Method

Design and Implementation of Low-Voltage Distribution Line L...

引用

2023 7th international conference on Electrical, Mechanical and Computer engineering (ICEMCE)

作者： Dilixiati Hayireding Yiteng Lei Yang Li School of Electronic and Engineering Yili Normal University Yining Xinjiang China

Extensive research and development efforts have been dedicated to the investigation and advancement of the load commutation method-based automatic commutation device (CD) as a means to mitigate three-phase imbalance in low-voltage distribution networks (LVDNs). However, the present automatic commutation approach employs real-time balancing techniques. this entails that when the device detects an imbalance surpassing the threshold, it promptly executes commutation operations on certain power consumers where the user experiences a significant level of current, which poses challenges in the process of commutation. In this paper, a commutation-based load-pre-balanced system for low-voltage distribution line is created and put into practice. the system has the capability to perform the commutation operation prior to the user's utilization of electricity, hence eliminating the necessity for conducting high current commutation, which can mitigate the potential risks associated with automatic CD commutation. Firstly, a novel pre-balanced phase change strategy is introduced, accompanied by the construction of a pre-balanced system. Two commutation strategies, namely current-based and voltage-based, are designed for the pre-balanced system. Additionally, the effectiveness of the pre-balanced system in controlling the three-phase line load imbalance is verified by simulation on the MATLAB/Simulink platform. Finally, the hardware component of the system is realized through the use of the PIC18F27QI0 micro controller as the central controller. On the other hand, the system software component is developed by employing the programming languages C and Python, also a prototype is made for real environment testing. the experimental findings indicate that the designed pre-balanced system has the capability to efficiently regulate the imbalance in the three-phase line load.

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Improving Neural Networks using Slice Models for Similar Classes

Improving Neural Networks using Slice Models for Similar Cla...

引用

international conference on Data science and Advanced Analytics (DSAA)

作者： Jinwook Kim Min-Soo Kim Information and Communication Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu Republic of Korea School of Computing Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

ISBN: (数字)9781728182063

ISBN: (纸本)9781728182070

Under the traditional machine learning that optimizes overall accuracy, the accuracy of a model for similar classes tends to be lower than for other classes. In this paper, we propose a method that can improve the accuracy of such problematic similar classes by adopting the concept of slices. the proposed method can improve the accuracy of slices effectively without degrading the overall accuracy.

关键词： Data models Training Predictive models Neural networks conferences Computational modeling programming

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An Image Inpainting Method for Stereoscopic Images Based on Hole Classification

An Image Inpainting Method for Stereoscopic Images Based on ...

引用

IEEE international conference on Ubi-Media Computing

作者： Fang Hsuan Cheng Moo Di Loo Dept. of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

this paper proposes a image in painting method for stereoscopic images based on hole-classification. the stereoscopic image pairs and their depth map images are generated by left and right shifting the original image according to its corresponding depth information. the generated left and right image may have disocclued areas or holes in the image after shifting operation. In this paper, disocclued areas or holes are classified into three type, gradient, clear-cut and layer and three different filling routes and filling methods are adopted according to these three types of holes. From the experimental results, it is proved that holes maybe mistakenly filled have been in painted with better corrections, in the meantime, in painted image becomes more natural and closer to the reality when it is viewed.

关键词： Filling three-dimensional displays conferences Dynamic programming Stereo image processing Shape

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Implementation of Sobel Edge Detection on FPGA based on OpenCL

Implementation of Sobel Edge Detection on FPGA based on Open...

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IEEE international conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Baoshan You Weihua Sheng Hongwei Ma Ye Gu Yinglin Qin School of Computer Science and Technology Shandong Jianzhu University Jinan Shandong China School of Electrical and Computer Engineering Oklahoma State University Stillwater OK USA Shenzhen Academy of Robotics Shenzhen China

ISBN: (纸本)9781538604915

In this paper, Sobel edge detection is implemented on an FPGA using a DEl-SoC development board from TERASIC. OpenCL as a new scheme is used for implementation. the development process and implementation details are described. the results show that OpenCL is an efficient method for FPGA development compared to traditional Hardware Description Language (HDL). We apply the OpenCL programming to FPGA-based Sobel edge detection, which gains a significant performance increase compared to that of software methods. the work of this paper can be extended to more complicated algorithms.

关键词： conferences Automation Control systems Intelligent systems

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Traffic-Aware Application Mapping for Network-on-Chip Based Multiprocessor System-on-Chip

Traffic-Aware Application Mapping for Network-on-Chip Based ...

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IEEE international conference on High Performance Computing and Communications (HPCC)

作者： Lei Yang Weichen Liu Weiwen Jiang Wei Zhang Mengquan Li Juan Yi Duo Liu Edwin H.-M. Sha College of Computer Science Chongqing University Chongqing China Dept. of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong SAR China

Network on Chip (NoC) has become a promising solution for the communication paradigm of the next-generation multiprocessor system-on-chip (MPSoC). As communication has become an integral part of on-chip computing, researchers are paying more attention to its implementation and optimization. Traditional techniques that model inter-processor communication inaccurately will lead to unexpected runtime performance, which is on average 90.8% worse than the predicted results based on an observation. In this paper, we present an application mapping and scheduling technique for NoC-based MPSoCs that integrates fine-grain optimization on inter-processor communications with the objective of minimizing the schedule length. A communication model is proposed to address properly the latency of inter-processor communication with network contention. Performance evaluation results show that solutions obtained by the proposed technique can generate realistic performance that is on average 34.7% higher than traditional techniques, and the Integer-Linear programming (ILP) based approach can outperform the state-of-the-art heuristic algorithms by 31.1%. A case study on H.264 HDTV decoder shows that our approach achieves 22.8% improvement in prediction accuracy, 20.9% improvement in performance and 40% reduction in the number of network contentions.

关键词： Schedules Scheduling Processor scheduling Optimization Program processors System-on-chip Heuristic algorithms

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Solving the longest overlap region problem for noncoding DNA sequences with GPU

Solving the longest overlap region problem for noncoding DNA...

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international conference on BioMedical engineering and Informatics (BMEI)

作者： YuKun Zhong JianBiao Lin BaoQiu Wang Chen Tao Che Nian Xie Wen Computer Science and Engineering Department Sichuan University Penshan China

ISBN: (纸本)9781479958399

Early hardware limitations of GPU (lack of synchronization primitives and limited memory caching mechanisms) can make GPU-based computation inefficient. Now Bio-technologies bring more chances to Bioinformatics and Biological engineering. Our paper introduces a way to solve the longest overlap region of non-coding DNA sequences on using the Compute Unified Device Architecture (CUDA) platform Intel(R) Core(TM) i3-3110m quad-core. Compared to standard CPU implementation, CUDA performance proves the method of the longest overlap region recognition of noncoding DNA is an efficient approach to high-performance bioinformatics applications. Studies show the fact that efficiency of GPU performance is more than 20 times speedup than that of CPU serial implementation. We believe our method gives a cost-efficient solution to the bioinformatics community for solving longest overlap region recognition problem and other related fields.

关键词： Graphics processing units Arrays DNA Instruction sets Indexes Bioinformatics programming

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Optimal Controller Design for Plants with Polynomial Nonlinearities

Optimal Controller Design for Plants with Polynomial Nonline...

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IEEE international conference on Methods and Systems of Navigation and Motion Control (MSNMC)

作者： Roman Voliansky Oleksiy Statsenko Oleg Sergienko Mykola Zhelinskyi Oleksandr Sadovoi Nina Volianska Department of Electromechanical Systems Automation and Electric Drives National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Kyiv Ukraine Department of Electric Drive Dnipro University of Technology Dnipro Ukraine Department of Heat and Alternative Power Engineering National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Kyiv Ukraine

the paper deals with the development of theoretical backgrounds to design optimal control systems for nonlinear plants with quadratic nonlinearity in right-hand expression. these backgrounds are based on solving dynamic programming problem for one class of nonlinear plants. We use ordinary differential equations in the normal matrix form to define the dynamic of the considered plant. then we apply feedback linearization transformation to rewrite the abovementioned equation as differential equations in the canonical form. the main advantage of such representation is the linear differential dependence between all state variables and only the last equation has a nonlinear function in this case. that is why we use the differential equations in the canonical form to define the perturbed motions equations and then the quadratic Lyapunov's function is defined as Newton's binomial. In this case Lyapunov's function is invariant to plant structure and parameters. the factors of this function are defined as factors of Newton's binomial. We use the defined in such a way Lyapunov function to solve dynamical programming problem and define control law as the Bellman's equation solution. the benefits of our approach are shown by considering an example of controller design for an electric drive with ventilator load. the numerical simulation shows that the designed system is asymptotically stable and has zero error.

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