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检索条件"任意字段=8th International Conference on Parallel Processing and Applied Mathematics"

共 2792 条记录，以下是71-80 订阅

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Reversible - SAL Based Energy Efficient Design of CLA for DSP Application 8

Reversible - SAL Based Energy Efficient Design of CLA for DS...

引用

8th IEEE international conference on Science, Technology, Engineering and mathematics, ICONSTEM 2023

作者： Jebastine, J. Nanammal, V. Jeppiaar Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350347791

A New Reversible with SAL logic generalization has been introduced for the very first time and it will emerge as a promising technology for ultra-low power VLSI design styles. the main principle of this reversible circuits are those circuits which will provide no information loss and computing process have all logic operations required that able to perform in a reversible manner thereby to reduce heat dissipation. this paper proposes a new circuit type adders design using reversible gates with SAL logic desire to higher densities and speed. As reversible logic very much useful for future research areas and it have variety of modern applications like optical computing, quantum computer, nanotechnology, DSP boards, FPGAs and energy saving embedded circuits. thus, this paper also compares the implementation of proposed reversible-SAL design in terms of power consumption, delay, area, performance, energy dissipation and quantum cost. Proposed work provides significant improvement than other regular structures. the reversible - SAL based high speed adder circuits are designed and simulated using Tanner EDA tool under various process technology models. © 2023 IEEE.

关键词： Optical data processing

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Applications of Image processing Techniques to Determine the Lane for Autonomous Vehicles 8

Applications of Image Processing Techniques to Determine the...

引用

8th international Scientific conference on Applying New Technology in Green Buildings, ATiGB 2023

作者： thai, Pham Quoc Van Hoa, Duong Tu, Nong Trong Van Ngan, Du thong, Ngo Tan Van Binh, Phan University of Science and Technology The University of da Nang Faculty of Transportation Mechanical Engineering Danang Viet Nam Duy Tan University Center of Electrical Engineering Danang Viet Nam University of Technology and Education The University of da Nang Faculty of Mechanical Engineering Danang Viet Nam Duy Tan University Faculty of Mechanical Engineering Danang Viet Nam

ISBN: (纸本)9798350343977

Autonomous vehicles are considered a huge human technology foundation for the intelligent vehicle industry. To operate on the road, autonomous vehicles must be equipped with many sensors capable of detecting problems in moving instead of humans. In addition to the control software, many modern technologies and algorithms have been applied today, such as image processing, artificial intelligence, etc. this paper describes a method to build an autonomous vehicle system with real cameras, performing the task of automatic navigation in traffic conditions with lines. Lane detection is essential in determining the center of self-driving vehicles concerning the moving lane. © 2023 IEEE.

关键词： Autonomous vehicles

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Dynamic Control of a Cable-Driven parallel Robot Allowing Wrapping Phenomenon through Sim-to-Real Deep Reinforcement Learning 8

Dynamic Control of a Cable-Driven Parallel Robot Allowing Wr...

引用

8th IEEE international conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Zhu, Haoda Ouyang, Kaihong Xiong, Hao Lu, Wenjie School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Shenzhen China

ISBN: (纸本)9798350300178

Cable-Driven parallel Robots (CDPRs) have attracted the attention of a large number of researchers in recent years. Researchers proposed to allow wrapping phenomenon to expand the workspace of CDPRs, leading to challenges in the dynamic control of CDPRs. To this end, this study develops a sim-to-real Deep Reinforcement Learning (DRL)-based dynamic control approach for a CDPR allowing wrapping phenomenon. A planner CDPR prototype allowing wrapping phenomenon is established and the DRL-based dynamic control approach is evaluated based on the CDPR prototype. the effectiveness of the DRL-based dynamic control approach in controlling the pose of a CDPR allowing wrapping phenomenon is verified. © 2023 IEEE.

关键词： Reinforcement learning

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On the Incorrect Use of Application Efficiency to Calculate Performance Portability 15th

On the Incorrect Use of Application Efficiency to Calcula...

引用

15th international conference on parallel processing and applied mathematics, PPAM 2024

作者： Marowka, Ami Parallel Research Lab Petah Tikva Israel

ISBN: (纸本)9783031856990

the emergence of heterogeneity in high-performance computing, which harnesses under one integrated system several platforms of different architectures, also led to the development of innovative cross-platform programming models. Along with the expectation that these models will yield computationally intensive performance, there is demand for them to provide a reasonable degree of performance portability. therefore, new tools and metrics are being developed to measure and calculate the level of performance portability of applications and programming models. the ultimate measure of performance portability is performance efficiency. Performance efficiency refers to the achieved performance as a fraction of some peak theoretical or practical baseline performance. Application efficiency approaches are the most popular and attractive performance efficiency measures among researchers because they are simple to measure and calculate. Unfortunately, the way they are used yields results that do not make sense, while violating one of the basic criteria that defines and characterizes the performance portability metrics. In this paper, we demonstrate how researchers currently use application efficiency to calculate the performance portability of applications and explain why this method deviates from its original definition. then, we show why the obtained results do not make sense and propose practical solutions that satisfy the definition and criteria of performance portability metrics. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Application Efficiency Metrics Performance Portability

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Facial Deblurring and Recognition Using Image processing and Machine Learning Techniques 8th

Facial Deblurring and Recognition Using Image Processing and...

引用

8th IFIP TC 12 international conference on Computer, Communication and Signal processing, ICCCSP 2024

作者： Subrahmanyam, B.R. Janavi, T.S. Keerthana, V. Serajudeen, Ayesha Jumana Arunnagiri, A.M. Department of Electronics and Communication Engineering College of Engineering Guindy Anna University Chennai600025 India

ISBN: (纸本)9783031736162

the project addresses the challenge of accurately identifying blurred faces in computer vision and facial recognition. It introduces a novel framework that integrates deblurring techniques, utilizing point spread function deconvolution to enhance facial image quality. Principal Component Analysis (PCA) is employed for feature extraction, and a K-Nearest Neighbors (KNN) classifier is applied for face identification. the combined deblurring and PCA-transformed features improve matching and identification accuracy, particularly in scenarios with initially blurred images. Experimental validation on a real-world dataset demonstrates the efficacy of the proposed methodology. this approach not only enhances facial recognition accuracy but also lays the groundwork for future research in challenging practical applications, such as security and law enforcement. © IFIP international Federation for Information processing 2025.

关键词： Optical transfer function

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Application of an Advanced Dijkstra Algorithm for Automation Systems of 3D Piping Routing 8

Application of an Advanced Dijkstra Algorithm for Automation...

引用

8th international conference on Communication and Information Systems, ICCIS 2024

作者： Choi, So-Won Lee, Eul-Bum Pohang University of Science and Technology Graduate Institute of Ferrous and Eco Materials Technology Pohang Korea Republic of

ISBN: (纸本)9798331531171

As engineering, procurement, and construction (EPC) plant projects increase in size and complexity, the importance of accurate design in a short time frame is rising. In particular, the automation of piping route design is essential to shorten the project schedule and reduce the cost. this study aims to develop an automated pipeline route design model and proposes an advanced Dijkstra algorithm. First, digital image processing technology was applied to preprocess the data. In addition, 3D model data of plant equipment was set up to realize the developed model in 3D. the Advanced Dijkstra algorithm proposed in this study for piping design automation consists of three algorithms. First, the Dijkstra algorithm was applied to find the shortest route, and the Routing Priority algorithm, which considers the importance of design, was added to optimize the route. In addition, the Interference Obstacle Avoidance algorithm was used to consider errors caused by interference between equipment and pipes. the automatic piping route design model developed in this study was verified using the project data of the 'D' petrochemical plant in Korea. As a result of comparing the Bill of Material (BoM) extracted through the developed model with the BoM of the actual completed project, the matching accuracy was 98.9% in weight and 84.9% in length for the pipe quantity. the automatic pipe route design model is expected to store project data to manage advanced design know-how and contribute to sustainable growth in the field of pipe design. © 2024 IEEE.

关键词： Advanced Dijkstra algorithm digital image processing EPC Projects piping auto-routing model

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the Impact of SYCL Data Management on Performance Portability 15th

The Impact of SYCL Data Management on Performance Portabil...

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15th international conference on parallel processing and applied mathematics, PPAM 2024

作者： Marowka, Ami Parallel Research Lab Tel-Aviv Israel

ISBN: (纸本)9783031856990

SYCL programming model does not guarantee performance portability across different architectures. However, the HPC community severely needs platform-independent performance portable applications more than ever. therefore, the main challenge of SYCL implementers and application developers is to look for direct or indirect solutions in order to improve the portability, performance, and performance portability of SYCL applications. In this paper we study and analyze the impact of the two main SYCL abstractions for data management, i.e., the unified shared memory and buffer-accessor approaches, on the three pillars of performance portability: portability, productivity, and performance. Experiments were carried out on state-of-the-art CPU and GPU platforms in order to shed light on the effect of different SYCL features on performance. the conclusions that emerged from this study show that by avoiding the use of SYCL performance portability inhibitors, it is possible to develop applications with a realistic level of performance portability. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Information management

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Automated Medicinal Plant Identification through Image processing and Machine Learning 8

Automated Medicinal Plant Identification through Image Proce...

引用

8th IEEE international conference on Computing, Communication, Control and Automation, ICCUBEA 2024

作者： Kadam, Yash Yache, Ajay Solunke, Pavankumar Tati, Ramakant Kachhoria, Renu Buchade, Amar Vishwakarma Institute of Information Technology Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350391770

this research addresses the pressing challenge of accurately identifying medicinal plants in India's Ayurvedic Pharmaceutics, aiming to mitigate issues stemming from morphological variability and market adulteration. Traditional methods of plant identification are hindered by laborious processes and the potential for error, underscoring the need for an automated solution. Leveraging the power of advanced image processing and machine learning, our proposed software framework integrates the Xception model and early stopping fine-tuning to automate plant identification based on plant images. the methodology involves curating a comprehensive dataset of labelled plant images representing diverse medicinal plants, subsequently employing image preprocessing techniques to extract salient features like color, texture, and shape. the Xception model, renowned for its prowess in image recognition tasks, serves as the backbone architecture for both feature extraction and classification. To further optimize model performance and mitigate overfitting, early stopping fine-tuning techniques are applied. through rigorous experimentation and validation, our research demonstrates the efficacy of this approach in accurately identifying medicinal plants, thereby fostering confidence and trust within the herbal medicine supply chain. By seamlessly integrating modern technological advancements with traditional botanical knowledge, our framework not only streamlines the identification process but also contributes to the sustainable utilization of herbal medicine resources. Ultimately, this research represents a pivotal step towards establishing a robust and reliable system for identifying medicinal plants, facilitating informed decision-making, and promoting the long-term viability of herbal medicine practices in India and beyond. © 2024 IEEE.

关键词： Medicinal chemistry

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Adaptive parallel Average Schwarz Preconditioner for Crouzeix-Raviart Finite Volume Method 1

引用

14th international conference on parallel processing and applied mathematics, PPAM 2022

作者： Marcinkowski, Leszek Rahman, Talal Faculty of Mathematics Informatics and Mechanics University of Warsaw Banacha 2 Warszawa02 -097 Poland Faculty of Engineering and Science Western Norway University of Applied Sciences Inndalsveien 28 Bergen5063 Norway

ISBN: (数字)9783031304453

ISBN: (纸本)9783031304446

In this paper, we describe and analyze an Average Schwarz Method with spectrally enriched coarse space for a Crouzeix-Raviart finite volume element discretization of a multiscale problem. the derived preconditioner is symmetric and we apply GMRES iterative method to the preconditioned problem obtaining the convergence rate of GMRES weakly dependent on the ratio of the coarse to fine mesh h/H if the enrichments of the coarse space contain sufficiently many specially constructed eigenfunctions. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Iterative methods

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Training a neural network to observe the assembly mode of parallel robots 8

Training a neural network to observe the assembly mode of pa...

引用

8th international conference on Mechanical Engineering and Robotics Research, ICMERR 2023

作者： Peidro, Adrian Garcia-Perez, Antonio Manuel Molla-Santamaria, Paula Fabregat-Jaen, Marc Reinoso, Oscar Elche03202 Spain Spain

ISBN: (纸本)9798350330519

parallel robots have different solutions to their forward kinematic problem, i.e., their gripper can adopt different possible positions that are compatible with the displacements of the actuated joints. It is necessary to know the position of the gripper to control parallel robots in the operational space. However, usually, only these joint displacements are measured, which results in the indetermination of which of these possible positions is the one actually adopted by the gripper. Previous methods require redundant sensors to measure directly the position of the gripper or the displacements of passive joints. In this paper we propose to estimate the position of the gripper by solving the observability problem of parallel robots regarded as nonlinear dynamical systems. By taking the position coordinates of the gripper as states of the system, it is possible to reconstruct these states from the signals of inputs (control forces) and outputs (displacements of actuated joints) of the system. To that end, we propose a feedforward neural network to perform as the state observer, and we train it using thousands of trajectories. the proposed neural observer is tested on a simulated 2RPR parallel robot, and it is found that, combined with a refinement post-processing based on Newton-Raphson's iterative method to solve the forward kinematics, the proposed method is able to exactly reconstruct the position of the gripper if the robot starts to move far from Type 2 singularities, at which different solutions merge. © 2023 IEEE.

关键词： Kinematics

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