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检索条件"任意字段=Conference on High Performance Computer Modernization Program"

共 10372 条记录，以下是491-500 订阅

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CSSR: Cross-and Self-feature Transformer with high-Frequency Feature Alignment for Reference-Based Super-Resolution 27th

CSSR: Cross-and Self-feature Transformer with High-Frequency...

引用

27th International conference on Pattern Recognition, ICPR 2024

作者： Ko, Seonggwan Cho, Donghyeon Chungnam National University Daejeon Korea Republic of HL Klemove Seongnam Korea Republic of Department of Computer Science Hanyang University Seoul Korea Republic of

ISBN: (纸本)9783031783043

Reference-based super-resolution (RefSR) utilizes an external high-resolution reference (Ref) image to transfer detailed textures to a low-resolution (LR) image, resulting in improved performance over single-image super-resolution (SISR) methods. The main challenge in RefSR is to find correspondences between the LR and Ref images, and accurately convey the rich texture information of the Ref image. However, this becomes difficult when the similarity between the LR and Ref images is low or there is ambiguity in the matching stage. To address these challenges, we propose a novel cross-and self-feature transformer (CSFT) which integrates not only the rich visual features of the Ref image, but also the internal information within the input LR image. In addition, we introduce a high-frequency feature alignment (HFFA) module to robustly fuse the features of the LR and Ref images even in areas where alignment is ambiguous. Based on the proposed CSFT and HFFA modules, we define a new RefSR pipeline, referred to as CSSR, where each module is structured with multi-scales. The CSSR can fully utilize textural information in both Ref and LR images and achieve outstanding performance, even when feature matching between Ref and LR images is challenging. Various experiments have been conducted to verify the effectiveness of CSSR, both quantitatively and qualitatively. The source codes is available at https://***/SeonggwanKo/CSSR. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep neural networks

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Automatic Heliostat Directing System Based On Microcontroller ESP32

Automatic Heliostat Directing System Based On Microcontrolle...

引用

2023 International conference on Electrical Engineering and Informatics, ICEEI 2023

作者： Medyanto, Richard Sanjaya, Nicholas Liawatimena, Suryadiputra Binus Aso School of Engineering Bina Nusantara University Automotive & Robotics Program Computer Engineering Department Jakarta11480 Indonesia Bina Nusantara University Binus Graduate Program - Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350381290

Solar energy is one of the most abundant sources of renewable energy in Indonesia. Solar energy is now typically harnessed using solar panels, but the low efficiency of photovoltaic cells requires the development of other alternatives. The heliostat is a sunlight directing device with mirrors that can be used in a concentrated solar power system. Current heliostats require high capital investment due to their large frames and expensive components. This research was undertaken to develop a lower cost heliostat using a smaller frame, ESP32 microcontroller, servo motor and low-cost components. The position of the sun can be determined using an algorithm based on the National Oceanic and Atmospheric Administration (NOAA) solar calculator, and the mirror is moved to maintain the sun's reflection on a target. The result of this research is a set of heliostat prototypes consisting of the frame and control system. Tests were carried out to test the performance of the designed heliostat and it was found that the heliostat has an accuracy of about 60 cm and can raise temperatures up to 3.41°C. The conclusion is that the heliostat can be used in a concentrated solar power system to heat boilers in solar power towers. © 2023 IEEE.

关键词： Solar energy

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3D Geometric Shape Assembly via Efficient Point Cloud Matching 41

3D Geometric Shape Assembly via Efficient Point Cloud Matchi...

引用

41st International conference on Machine Learning, ICML 2024

作者： Lee, Nahyuk Min, Juhong Lee, Junha Kim, Seungwook Lee, Kanghee Park, Jaesik Cho, Minsu Department of Computer Science and Engineering POSTECH Pohang Korea Republic of Graduate School of Artificial Intelligence POSTECH Pohang Korea Republic of Department of Computer Science and Engineering Seoul National University Seoul Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Korea Republic of

Learning to assemble geometric shapes into a larger target structure is a pivotal task in various practical applications. In this work, we tackle this problem by establishing local correspondences between point clouds of part shapes in both coarse- and fine-levels. To this end, we introduce Proxy Match Transform (PMT), an approximate high-order feature transform layer that enables reliable matching between mating surfaces of parts while incurring low costs in memory and compute. Building upon PMT, we introduce a new framework, dubbed Proxy Match TransformeR (PMTR), for the geometric assembly task. We evaluate the proposed PMTR on the large-scale 3D geometric shape assembly benchmark dataset of Breaking Bad and demonstrate its superior performance and efficiency compared to state-of-the-art methods. Project page: https://***/pmtr. Copyright 2024 by the author(s)

关键词： 3D modeling

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Enhanced image encryption technique utilizing chaotic mapping and dynamic DNA encoding

Enhanced image encryption technique utilizing chaotic mappin...

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2024 International conference on Algorithms, high performance Computing, and Artificial Intelligence, AHPCAI 2024

作者： Xue, Tianbao Lan, Quanxiang School of Mathematics and Computer Science Panzhihua University Sichuan China

ISBN: (纸本)9781510685840

Chaotic image encryption technology has become a key method for safeguarding sensitive image data and has garnered significant attention and research recently. To address the issues of limited key space and low encryption efficiency in conventional image encryption methods, this paper introduces a novel chaotic image encryption algorithm. This algorithm leverages Chen and Logistic-Tent chaotic mappings along with dynamic DNA encoding rules. Initially, the SHA-256 algorithm is employed to produce a 256-bit hash sequence, which serves as the initial key for the chaotic mappings. The chaotic sequences generated by these mappings are then used to rearrange the rows and columns of image pixels, while dynamically chosen DNA encoding rules are applied to encode each pixel. Following this, the DNA-encoded image matrix is XORed with the chaotic sequence matrix to produce a scrambled image matrix. In the final step, the encoded ciphertext image is decoded using DNA, and minor plaintext alterations are diffused across the entire ciphertext through multi-level diffusion processes. This approach enhances the complexity and security of the encryption method. Experimental results indicate that the proposed algorithm effectively withstands various types of attacks while maintaining high encryption efficiency, demonstrating promising application potential and practical value. © 2024 SPIE.

关键词： Pixels

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Dynamic Sharded Blockchain Architecture for Industrial Emergency Data Sharing 18th

Dynamic Sharded Blockchain Architecture for Industrial Emer...

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18th International conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Ren, Linjie Xu, Tianyi Guo, Runkun Wang, Cong Qiu, Tie College of Intelligence and Computing Tianjin University Tianjin300350 China Questrom School of Business Boston University BostonMA02215 United States School of Computer Qinghai Minzu University Xining810007 China

ISBN: (纸本)9783031714665

Sharding is a recognized solution for improving blockchain performance in industrial data sharing. Current sharding systems can periodically adjust shards to adapt to dynamic manufacturing scenarios, but they struggle to ensure low latency for emergency tasks that are massive, unpredictable, and time-sensitive because they cannot adjust shards at runtime. To address these problems, we present DSBA, a novel dynamic sharded blockchain architecture that enhances the performance of industrial emergency data sharing. Firstly, we propose a hierarchical architecture that segregates verification and consensus functions to prioritize time-sensitive emergency tasks while preserving the inherent concurrency of sharding. Secondly, we implement a dynamic sharding method based on reputation diffusion to select reliable endorsement nodes of high performance to construct shards, thereby ensuring efficient and secure emergency data sharing. Finally, we design an efficient micro-block synchronization mechanism to expedite the final consistency of emergency data. Through analysis and extensive experiments, DSBA achieves a 50% decrease in emergency transaction latency and reduces the failure rate to below 20% when compared to existing sharding systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Blockchain Dynamic Sharding Emergency Data Sharing Industrial Internet of Things(IIoT)

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Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View 25

Rethinking the Distributed DNN Training Cluster Design from ...

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25th IEEE International conferences on high performance Computing and Communications, 9th International conference on Data Science and Systems, 21st IEEE International conference on Smart City and 9th IEEE International conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Lai, Zhiquan Liu, Yujie Wang, Wei Hao, Yanqi Li, Dongsheng College of Computer National University of Defense Technology National Key Laboratory of Parallel and Distributed Computing Changsha China

ISBN: (纸本)9798350330014

As deep learning grows rapidly, model training heavily relies on parallel methods and there exist numerous cluster configurations. However, current preferences for parallel training focus on data centers, overlooking the financial constraints faced by most researchers. To attain the best performance within the cost limitation, we introduce a throughput-cost metric to accurately characterize clusters' cost-effectiveness. Based on this metric, we design a cost-effective cluster featuring the 3090 with NVLink. The experiment results demonstrate that our cluster achieves remarkable cost-effectiveness in various distributed model training schemes. © 2023 IEEE.

关键词： Cost effectiveness

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Mercury: Fast Transaction Broadcast in high performance Blockchain Systems 42

Mercury: Fast Transaction Broadcast in High Performance Bloc...

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42nd IEEE International conference on computer Communications, INFOCOM 2023

作者： Zhou, Mingxun Zeng, Liyi Han, Yilin Li, Peilun Long, Fan Zhou, Dong Beschastnikh, Ivan Wu, Ming Carnegie Mellon University United States Tsinghua University Institute for Interdisciplinary Information Sciences China Shanghai Tree-Graph Blockchain Research Institute China University of Toronto Canada Imo Ventures University of British Columbia Canada

ISBN: (纸本)9798350334142

Blockchain systems must be secure and offer high performance. These systems rely on transaction broadcast mechanisms to provide both of these features. Unfortunately, in today's systems, the broadcast mechanisms are highly *** present Mercury, a new transaction broadcast protocol designed for high performance blockchains. Mercury shortens the transaction propagation delay using two techniques: a virtual coordinate system and an early outburst strategy. Simulation results show that Mercury outperforms prior propagation schemes and decreases overall propagation latency by up to 44%. When implemented in Conflux, an open-source high-throughput blockchain system, Mercury reduces transaction propagation latency by over 50% with less than 5% bandwidth overhead. © 2023 IEEE.

关键词： Blockchain

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Design of over Temperature Protection Circuit Based on Hysteresis Comparison with high Precision 3

Design of over Temperature Protection Circuit Based on Hyste...

引用

3rd IEEE International conference on computer Communication and Artificial Intelligence, CCAI 2023

作者： Jiang, Rui Ma, Yahong Fan, Xiaojiao Wang, Rongrong Huang, Zhentao Li, Weisu Yang, Liu Dai, Yongsheng Xijing University School of Electronic Information Xi'an China

ISBN: (纸本)9798350335262

In this paper, a high-precision over-temperature protection (OTP) circuit based on 55nm CMOS technology is proposed. By introducing external feedback, enable level with logic signal is generated to realize hysteresis of temperature signal. The bandgap reference circuit can work normally under a wide range of power supply voltage and temperature to ensure the stable working state and output of the over temperature protection circuit. The simulation results show that when the temperature exceeds 115°C, the chip stops working, and when the temperature drops to 88°C, the chip works normally, with a hysteresis interval of 27°C. Under different process angle conditions, the temperature coefficient can be kept in a small range, and the output conversion rate of the circuit is 24.99V/°C, which has the characteristics of high precision and high sensitivity. The circuit can suppress the drift of the threshold point caused by the process change, has high precision, and ensures the stability of the circuit performance. © 2023 IEEE.

关键词： Hysteresis

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Aspect-based Sentiment Analysis using Long Short-term Memory Model for Leveraging Restaurant Service Management

Aspect-based Sentiment Analysis using Long Short-term Memory...

引用

2023 International conference on computer Science, Information Technology and Engineering, ICCoSITE 2023

作者： Heryadi, Yaya Wijanarko, Bambang Dwi Fitria Murad, Dina Tho, Cuk Hashimoto, Kiyota BINUS Graduate Program-Doctor of Computer Science Computer Science Department Jakarta11480 Indonesia BINUS Online Learning Computer Science Department Jakarta11480 Indonesia BINUS Online Learning Information Systems Department Jakarta11480 Indonesia Prince of Songkla University Interdisciplinary Graduate School or Earth System Science and Andaman Natural Disaster Management Phuket83120 Thailand

ISBN: (纸本)9798350320954

In general, the hospitality industry has been acknowledged as a major sector that gives a high contribution to economic development in many countries including Indonesia. For that reason, many initiatives have been implemented to help the growth of the hospitality industry in many countries including Indonesia to rebound from the harsh impact of the Covid-19 Pandemic. One such initiative is improving restaurant services as the main sector of the hospitality industry. This paper presents empirical results of sentiment analysis as a means to assess the quality of restaurant services as the first step to improving service quality. In particular, this study explores the aspect-based sentiment analysis method to identify some aspects of restaurant service which need improvement by learning the polarity of customers toward the restaurant services without having to meet the customers directly. By using the aspect-based sentiment analysis method, the customer sentiments comprising opinions, sentiments, evaluations, attitudes, and emotions from restaurant service can be analyzed using customers' online reviews as input. The main experiment findings showed that the Long Short-term Memory model can achieve high performance in predicting aspect polarization in restaurant service reviews. Other findings suggest that Sigmoid as an activation function achieved 0.97 average training accuracy and 0.69 average testing accuracy giving a better performance to the model in comparison to ReLU, Tanh, and ELU activation functions. © 2023 IEEE.

关键词： Sentiment analysis

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The Application of Three-Phase Induction Motor Protection Automated System To Overcome Overload Conditions and Zelio Logic-Based high Temperatures 7

The Application of Three-Phase Induction Motor Protection Au...

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7th International conference on Electrical, Telecommunication and computer Engineering, ELTICOM 2023

作者： Ahmad, Agahari Syafruddin, H.S. Fahmi, Fahmi Universitas Sumatera Utara Electrical Engineering Department Medan Indonesia

ISBN: (纸本)9798350385526

The protection system on a three-phase induction motor is designed so that the motor can be used for a longer period of time and avoid damage. Disturbances such as overloads and high temperatures that occur can interfere with the performance of the induction motor and shorten its use time. Therefore, a protection system for the induction motor is needed. The method used in this paper is the design of a simulation of an overload and high temperature protection system on a three-phase induction motor with a Zelio smart relay using Zeliosoft 2.0 software by making a Ladder diagram as well as the simulation. To protect the three-phase induction motor, additional components are used, namely the Thermal Overload Relay (TOR) for overload protection and the Temperature Controller for high temperatures. The maximum limit of current to be protected by TOR is 1.6 A, and the maximum temperature limit to be protected by the Temperature Controller is 50 °C. Both components are integrated by the Zelio smart relay. In the process stage of the program itself, the TOR and Temperature Controller will send a trip signal to the Zelio smart relay when there is more load interference and a high temperature. The Zelio smart relay will then secure the motor from interference by stopping the power to the motor. © 2023 IEEE.

关键词： Induction motors

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