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2nd International Conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2023

作者： Qi, Yu Chen, Mengxue Li, Guilan Li, Gaosheng He, Meisheng Xu, Bangjian Hunan University College of Electrical and Information Engineering Changsha China Hunan Institute of Traffic Engineering School of Transportation Engineering Hengyang China Hunan University College of Computer Science and Electronic Engineering Changsha China

ISBN: (纸本)9798350342697

The open RISC-V instruction set architecture provides a new innovative platform for integrated circuit design, and the multiplier and adder are the core units of the computing unit. This paper designs a high-performance 64-bit floating-point multiply-add operation unit based on the RISC-V floating-point instruction set, which supports single-precision, double-precision and half-precision calculations, and can realize a deep pipeline design with a maximum execution stack of 10 levels. In the VIVADO simulation environment, the function verification of the floating-point multiplication and addition unit is carried out, and each module can meet the correctness requirements. The results show that under the 28nm CMOS process, the longest critical path delay is 500ps, the slack is 0.09, and the operating frequency is 1.67GHz. © 2023 IEEE.

关键词： Pipelines

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Reviewing metal supported solid oxide fuel cells for efficient electricity generation with biofuels for mobility

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Journal of Energy Chemistry 2025年第4期103卷 106-153页

作者： Fábio C.Antunes João P.J.de Oliveira Ricardo S.de Abreu Thiago Dias Bruno B.N.S.Brandão Josué M.Gonçalves Josimar Ribeiro Julian Hunt Hudson Zanin Gustavo Doubek School of Electrical and Computer Engineering University of CampinasCampinas 13083-852Brazil School of Food Engineering University of CampinasCampinas 13083-852Brazil School of Chemical Engineering University of CampinasCampinas 13083-852Brazil Mackenzie Institute for Research in Graphene and Nanotechnologies(MackGraphe) Mackenzie Presbyterian InstituteSão Paulo 01302-907Brazil Electrochemistry Research and Development Laboratory(LPDE) Department of ChemistryCenter of Exact SciencesFederal University of Espírito SantoCampus GoiabeirasVitória 29075-910Brazil Biological and Environmental Science and Engineering Division King Abdullah University of Science and TechnologyThuwal 23955-6900Saudi Arabia

Metal-Supported Solid Oxide Fuel Cells(MS-SOFCs)hold significant potential for driving the energy *** electrochemical devices represent the most advanced generation of Solid Oxide Fuel Cell(SOFCs)and can pave the way for mass production and wider adoption than Proton Exchange Membrane Fuel Cells(PEMFCs)due to their fuel flexibility,higher power density and the absence of noble metals in the fabrication *** review examines the state-of-the-art of SOFCs and MS-SOFCs,presenting perspectives and research directions for these key technological devices,highlighting novel materials,techniques,architectures,devices,and degradation mechanisms to address current challenges and future *** such as infiltration/impregnation,ex-solution catalyst synthesis,and the use of a pre-catalytic reformer layer are discussed as their impact on efficiency and prolonged *** concepts are also described and connected with well-dispersed nano particles,hindrance of coarsening,and an increased number of Triple Phase Boundaries(TPBs).This review also describes the synergistic use of reformers with MS-SOFCs to compose solutions in energy generation from readily available ***,the End-of-Life(EoL),recycling,and life-cycle assessments(LCAs)of the Fuel Cell Hybrid Electric Vehicles(FCHEVs)were *** comparing Fuel Cell Electric Vehicles(FCEVs)equipped with(PEMFCs)and FCHEVs equipped with MS-SOFCs,both powered with hydrogen(H_(2))generated by different routes were *** review aims to provide valuable insights into these key technological devices,emphasizing the importance of robust research and development to enhance performance and lifespan while reducing costs and environmental impact.

关键词： Reform Metal-supported solid oxide fuel cell Powertrain systems Fuel cell Hybrid electric vehicle Biofuel

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LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization

LightningSimV2: Faster and Scalable Simulation for High-Leve...

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Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Rishov Sarkar Rachel Paul Cong Callie Hao School of Electrical and Computer Engineering Georgia Institute of Technology

ISBN: (数字)9798350372434

ISBN: (纸本)9798350372441

High-Level Synthesis (HLS) enables rapid prototyping of complex hardware designs by translating C or C++ code to low-level RTL code. However, the testing and evaluation of HLS designs still typically rely on slow RTL-level simulators that can take hours to provide feedback, especially for complex designs. A recent work, LightningSim, helps to solve this problem by providing a simulation workflow one to two orders of magnitude faster than RTL simulation. However, it still exhibits inefficiencies due to several types of redundant computation, making it slow for large design simulation and design space exploration. Addressing these inefficiencies, we introduce LightningSimV2, a much faster and scalable simulation tool. LightningSimV2 features three main innovations. First, we perform compile-time static analysis, exploiting the repetitive structures in HLS designs, e.g., loops, to reduce the simulation workload. Second, we propose a novel graph-based simulation approach, with decoupled simulation graph construction step and graph traversal step, significantly reducing repeated computation. Third, benefiting from the decoupled approach, LightningSimV2 can perform incremental stall analysis extremely fast, enabling highly efficient design space exploration of large numbers of complex hardware parameters, e.g., optimal FIFO depths. Moreover, the DSE is well-suited for parallel computing, further improving the DSE efficiency. Compared with LightningSim, LightningSimV2 achieves up to 3.5× speedup in full simulation and up to 577× speed up for incremental DSE. Our code is open-source on GitHub at https://***/sharc-lab/LightningSim/tree/v0.2.0.

关键词： Technological innovation Codes Static analysis Parallel processing Rapid prototyping Hardware Space exploration

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Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review

arXiv

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arXiv 2024年

作者： Ghaemi, Hafez Jamshidi, Shirin Mashreghi, Mohammad Ahmadabadi, Majid Nili Kebriaei, Hamed The School of Electrical and Computer Engineering University of Tehran Iran

Markov games (MGs) and multi-agent reinforcement learning (MARL) are studied to model decision making in multi-agent systems. Traditionally, the objective in MG and MARL has been risk-neutral, i.e., agents are assumed to optimize a performance metric such as expected return, without taking into account subjective or cognitive preferences of themselves or of other agents. However, ignoring such preferences leads to inaccurate models of decision making in many real-world scenarios in finance, operations research, and behavioral economics. Therefore, when these preferences are present, it is necessary to incorporate a suitable measure of risk into the optimization objective of agents, which opens the door to risk-sensitive MG and MARL. In this paper, we systemically review the literature on risk sensitivity in MG and MARL that has been growing in recent years alongside other areas of reinforcement learning and game theory. We define and mathematically describe different risk measures used in MG and MARL and individually for each measure, discuss articles that incorporate it. Finally, we identify recent trends in theoretical and applied works in the field and discuss possible directions of future research. © 2024, CC BY.

关键词： Game theory

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Air Purification System for Air Quality Monitoring In-Vehicle 24

Air Purification System for Air Quality Monitoring In-Vehicl...

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24th International Electronics Symposium, IES 2022

作者： Agullo, Kyle Vonmar T. Sasis, John Patric A Sese, Julius T. Mapua University School of Electrical Electronics and Computer Engineering Intramuros Manila Philippines

ISBN: (数字)9781665489713

ISBN: (纸本)9781665489713

Air contaminants can be found outside and inside our houses and automobiles. We used autos for transportation daily. A vehicle was also used by some people as an extension of their home. According to the World Health Organization, air pollution kills seven million people per year. Because our vehicle recirculates air from the outside, dangerous pollution levels are higher inside. Related research has primarily focused on air quality measurement rather than how to maintain good air quality within a given area through monitoring. The researchers presented a purification system that automatically filters contaminants such as hazardous gases, particulate matter, etc. At the same time, the device continues to monitor the air quality, based on previous studies linked to air quality monitoring. The design prototype passed the two-point calibration tests with the commercial sensor in a controlled environment and provided accurate and precise values compared to the commercial sensor. The test findings showed that the air quality inside the vehicle is good or regarded as safe for people and that the suggested prototype can filter VOC and other dangerous particles better than other existing air purifiers designed specifically for vehicles. © 2022 IEEE.

关键词： Air quality

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Experimental Data Acquisition and Processing System Based on the Internet of Things 14th

Experimental Data Acquisition and Processing System Based on...

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14th International Conference on Genetic and Evolutionary Computing, ICGEC 2021

作者： Liu, Hang Wang, Jun Liu, Mingtai Jian, Xiukai Zhang, Yuhong Li, Yuli School of Electrical and Computer Engineering Jilin Jianzhu University Changchun130118 China

ISBN: (纸本)9789811684296

With the development of the Internet of Things (IoT), the data acquisition system is more and more important for the follow-up of experimental data. In this paper, two data collecting platforms based on IoT technology are built for collecting and processing experimental data, so that the processing of experimental data can get rid of local restrictions more conveniently. One of the data platforms in this paper is based on AL Cloud IoT Platform, and the other one is a self-built cloud server architecture. The WeChat Mini program and the PC webpage are designed to monitor the state of the device and display the data visually. MySQL is used to store experimental data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data acquisition

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A Location Selection Method for Infected Areas Material Distribution Based on SIR Model and GA-K - means Algorithm

A Location Selection Method for Infected Areas Material Dist...

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2023 China Automation Congress, CAC 2023

作者： You, Jiangwei Jia, Jianfang Zhang, Wenwen Zhang, Jianguo Ren, Xiaoqing Dong, Yuanchang School of Electrical and Control Engineering North University of China Taiyuan China School of Computer Science and Technology North University of China Taiyuan China

ISBN: (纸本)9798350303759

The sudden outbreak of the COVID-19 pandemic has had a serious impact on the health and daily life of people. The problem of determining where to put household goods during an epidemic is particularly important. This paper proposes a siting method for the distribution of supplies in disaster area relief missions. Firstly, a qualitative analysis of the SIR prediction model for infectious diseases is established, and it is learned that how subsistence supplies are distributed has a direct impact on the direction of the number of infected people in the disaster area. Secondly, the entropy weight is applied to comprehensively evaluate the reasonableness of the number of material drop-off points. The optimal number, location, and size of drop-off points are determined by the GA-K-means clustering algorithm. This algorithm resulted in a 22.88% reduction in the overall number of task drop-off points. The average contour coefficient is then used to find the number and location of large-scale material sorting sites. The siting method for drop-off points provides practical implications for the solution of material or personnel deployment problems during various natural disasters. © 2023 IEEE.

关键词： Drops

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Object-Centric World Model for Language-Guided Manipulation

arXiv

引用

arXiv 2025年

作者： Jeong, Youngjoon Chun, Junha Cha, Soonwoo Kim, Taesup Graduate School of Data Science Department of Electrical and Computer Engineering

A world model is essential for an agent to predict the future and plan in domains such as autonomous driving and robotics. To achieve this, recent advancements have focused on video generation, which has gained significant attention due to the impressive success of diffusion models. However, these models require substantial computational resources. To address these challenges, we propose a world model leveraging object-centric representation space using slot attention, guided by language instructions. Our model perceives the current state as an object-centric representation and predicts future states in this representation space conditioned on natural language instructions. This approach results in a more compact and computationally efficient model compared to diffusion-based generative alternatives. Furthermore, it flexibly predicts future states based on language instructions, and offers a significant advantage in manipulation tasks where object recognition is crucial. In this paper, we demonstrate that our latent predictive world model surpasses generative world models in visuo-linguo-motor control tasks, achieving superior sample and computation efficiency. We also investigate the generalization performance of the proposed method and explore various strategies for predicting actions using object-centric representations. Copyright © 2025, The Authors. All rights reserved.

关键词： Robot programming

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Penalty Factor-Based Formulation to Support Optimal Energy Scheduling of Distributed Energy Resources in Distribution Systems

Penalty Factor-Based Formulation to Support Optimal Energy S...

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2022 IEEE Texas Power and Energy Conference, TPEC 2022

作者： Fernandez-Ramirez, Jorge Grijalva, Santiago School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta United States

ISBN: (纸本)9781665479028

This paper presents a penalty factor-based energy scheduling (PFES) formulation for distributed energy resources (DER) optimal energy management in distribution networks. DER limits, as well as network line thermal limits and voltage constraints, are observed as part of the optimization. In the proposed method, penalty factors are utilized to capture the impact of losses in the distribution circuit while providing a method for dispatch optimization. The optimization relies on linearized sensitivities of the AC power flow, namely the active power Power Transfer Distribution Factors (PTDFs) as well as voltage sensitivities to estimate the impact of voltages due to changes in dispatch. The PDTFs are further utilized to estimate system-wide losses. The paper shows how these sensitivity approaches are an effective way to enforce network constraints as part of DER energy scheduling. The method is successfully demonstrated on the IEEE-13 distribution test feeder. © 2022 IEEE.

关键词： Scheduling

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Disp1DNet: Rapid 1D Stereo network for Efficient Disparity Map Estimation

Disp1DNet: Rapid 1D Stereo Network for Efficient Disparity M...

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Iranian Conference on Intelligent Systems (ICIS)

作者： Mahdieh Jokar School of Electrical and Computer Engineering University of Tehran Iran

ISBN: (数字)9798331507565

ISBN: (纸本)9798331507572

One of the significant challenges in the field of computer vision is the calculation of scene depth and the distance of objects from images obtained by cameras. In computer vision, image depth is derived using various methods, one of which is stereo vision. In this approach, the disparity of objects in images seen by two eyes serves as the basis for calculating distance and scene depth. An important aspect of this discussion is the ability to process in real-time and beyond real-time since subsequent stages require considerable time for post-processing and decision-making. Additionally, in various applications, such as mobile phones, size, weight, power consumption, and hardware costs become crucial factors. Thus, having a model that not only offers good performance but can also be implemented on low-power hardware becomes particularly important. There are various methods for stereo vision calculations, generally categorized into traditional methods and neural network-based methods. Among these two categories, neural network-based models provide higher accuracy results compared to traditional methods, which has motivated researchers in recent years to present diverse models capable of real-time execution. After examining the foundations of the stereo vision domain and reviewing existing methods, we present a creative comprehensive model called Disp1DNet in this paper. Unlike existing models that process entire images using two-dimensional and three-dimensional convolutional layers, this model utilizes one-dimensional convolution and processes images row by row. This innovation allows us to achieve a processing time of 1.6 ms with a 22% error rate on the Synthetic Stereo Image Data for Algorithm Evaluation dataset, which relates to driving, approximately 20 times less than the minimum time required for real-time processing.

关键词： Solid modeling computer vision Technological innovation Power demand Estimation Real-time systems Hardware Mobile handsets Stereo vision Intelligent systems

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