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SSrN 2024年

作者： Li, Xiao-dong Yan-Yu, Xie Yang, Peng-Hui Huang, Xiao-Yu Liu, Xiu-Ying R&D Center for Advanced Energy Materials School of Physics Henan University of Technology Zhengzhou450001 China College of Physics and Electronic Engineering Nanyang Normal University Nanyang473061 China

We utilized density functional theory to comprehensively analyze the structural characteristics of six highly stable, double-walled dipyrazole metal-organic framework (MOF), BUT-53 to BUT-58. Molecular simulation techniques were employed to study the adsorption and separation performance of these novel structures for hydrogen H2, CH4 and CO2. We accurately characterized the material structure by integrating quantum mechanical calculations and classical force field simulations. The results revealed that these BUTs exhibited a large specific surface area (1068 – 1780 cm2·g-1), high porosity (0.27 – 0.44 cm3·g-1), and suitable pore size (4.34 – 8.15 Å), all of which are advantageous for gas separation. We calculated the gas adsorption and separation capacity at both 77 and 298 K by employing grand canonical Monte Carlo (GCMC) simulations. The six double-walled structures demonstrated a higher adsorption capacity for CH4 compared to H2. The BUT-57 exhibited the best performance for a single component among these structures, and the BUT-53 displayed excellent selectivity for CO2. We put forward an innovative concept of enhancing the selectivity for CO2 by increasing the accessible nitrogen sites of porous MOFs for providing valuable guidance for related experiments. © 2024, The Authors. All rights reserved.

关键词： density functional theory

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Light Weight Landmark detection Method

Light Weight Landmark Detection Method

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2021 China Automation Congress, CAC 2021

作者： Lv, Ying Kong, debao Zhao, Yang Yang, Zhaokai Xu, Mengjie R&D Center China FAW Group Changchun China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665426473

detecting landmarks in images is an important and challenging task for intelligent driving. The difficulty of this task is to locate and classify the landmarks accurately under the limited resources of intelligent driving platform. In this paper, we propose a method of filter pruning for deep neural networks for the real-time landmark detection. The network is based on yolov3 and improved for feature extraction. Then we conduct filter pruning based on the attention mechanism, resulting in the final lightweight model. The experiment on landmark detection datasets shows that the proposed lightweight landmark detection method can achieve high performance in accuracy with fast speed. © 2021 IEEE

关键词： deep neural networks

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2023 The 1st National Competition of "Bloomag Cup" in CO2 capture, conversion, and utilization

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Biotechnology notes (Amsterdam, Netherlands) 2023年第1期4卷 112-117页

作者： Ziman Chen dan Wang Zhenyi Wu Yongqin Lv National Energy R&D Center for Biorefinery Beijing Key Laboratory of Bioprocess College of Life Science and Technology Beijing University of Chemical Technology Beijing 100029 China. School of Chemistry and Chemical Engineering Chongqing University Chongqing 400044 China. Central Research Institute of China Chemical Science and Technology Co. Ltd Beijing 100089 China. Professional Committee of Biochemical Engineering of CIESC China.

The inaugural National Competition for Carbon dioxide Capture, Conversion and Utilization Innovation ("Bloomag Cup") was successfully held on July 30, 2023 in Beijing. This competition was initiated by Professor Tianwei Tan and Prof. Yongqin Lv from Beijing University of Chemical technology (BUCT), and jointly organized by BUCT and Chongqing University. The competition is slated for annual recurrence, with a rotational hosting arrangement involving various academic institutions. The ongoing competition underscores the primacy of pioneering and exploratory facets inherent to technological innovation. Its principal objective is to catalyze the development of foundational and cutting-edge technological competencies within the realm of CO capture, conversion, and utilization. The overarching goals encompass identifying promising technological breakthroughs, fostering emerging talent in scientific and technological innovation, facilitating high-quality sustainable economic growth within China, and actively contributing to global efforts towards peak carbon emissions and achieving sustainable development goals for humanity. This inaugural Bloomag Cup saw wide participation from students and researchers, generating fruitful discussions that advance the nascent field. It is hoped this competition will continue cultivating solutions that help mitigate anthropogenic climate change through innovative carbon dioxide technologies.

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Wind Turbine Instrumentation System using Labview 3

Wind Turbine Instrumentation System using Labview

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3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022

作者： Sudharsan, G. Srinivasa Vishnupriyan, J. Anand, K. Vijay Chidambarathanu, K. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Dept. of Ece Chennai India Chennai Institute of Technology Center for Energy Research Chennai India R.M.K. Engineering College Department of Electronics and Instrumentation Engineering Chennai India R.M.K. Engineering College Department of Computer Science and Business Systems Chennai India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

This work proposes an electronics circuit-based monitoring and control panel for wind turbines. In the wind business, wind turbine monitoring is a critical task. This work describes the process of building a monitoring and control panel system that uses LabVIEW to record and analyze various metrics such as wind speed, wind direction, tip speed ratio, energy generated, power and current power using LabVIEW and buzzer indication. The measuring equipment must function properly in order to produce the highly qualified data required for an accurate wind gust prediction. This work aims to create a promising measuring and monitoring system for wind parameter measurement. The graphical user interface makes even the most critical processes much easier to control and monitor. © 2022 IEEE.

关键词： Wind turbines

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review on Hybrid Power System of Hydrogen Fuel Cell Passenger Vehicles

Review on Hybrid Power System of Hydrogen Fuel Cell Passenge...

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2021 China Automation Congress, CAC 2021

作者： Zhou, Mengting Jiang, Wei New Energy Automobile Technology R&D Center Guangzhou Automobile Group Co. Ltd Automotive Engineering Institute Guangzhou China

ISBN: (纸本)9781665426473

As a direction of development, hydrogen fuel cell passenger vehicle has a wide market due to its environment-friendly, high conversion efficiency, rapid filling of hydrogen and modularization. According to the connection mode, the hybrid power system topology is divided into direct connection structure and indirect connection structure, each of them has its own advantages and disadvantages. According to the power capacity of the fuel cell system and the battery, it can be divided into three kinds of types: energy compensation, power hybrid and full power, and the type of full power would be the trend for fuel cell passenger vehicle This article studies on three typical mass-production full-power hydrogen fuel cell passenger vehicles in the world, including Mirai, NEXO, and CLArITY. Analysis are made on their power system topology and parameters, in order to provide references for industry research. © 2021 IEEE

关键词： Fuel cells

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dynamic Object Trajectory Prediction Algorithm in Urban Scene Based on Map Features

Dynamic Object Trajectory Prediction Algorithm in Urban Scen...

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2021 China Automation Congress, CAC 2021

作者： Ying, Lv Siqi, Yang Huiqin, Zhan Jiajun, Wu Bei, Liu Juan, Chen R&d center China FAW group Changchun China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665426473

Predicting the future trajectory of dynamic objects in a scene is a key capability to ensure safe and smooth driving of autonomous vehicles. Accurately predicting the trajectory of objects is not a simple task due to the complexity of urban scenes and the variety of dynamic object categories. Because objects in a scene are affected by the motion of other objects as well as by static scenes, much of the previous work focused on capturing interactions between objects. In this paper, we combine the map attention mechanism to extract map features, so that the model focuses on the regions in the map that have influence on object motion, thus improving the prediction results. To evaluate its performance, an urban scene trajectory prediction datasets containing map data is produced and we compared with existing prediction algorithms on this datasets. © 2021 IEEE

关键词： Trajectories

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A design and control method for Pole Changing Induction Machine for Traction Application

A design and control method for Pole Changing Induction Mach...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Kan Akatsu Naoya Kato Tsurube Masayoshi Tomonari Mori Masanori Watahiki Department of Faculty of Engineering Division of Intelligent Systems Engineering Yokohama National University Kanagawa Japan Department of Electrical Engineering Yokohama National University Kanagawa Japan NIDEC CORPORATION Nidec Product Technology R&D Center Kanagawa Japan

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

This paper presents a design method of a Pole Changing Induction Machine (PCIM) with double 3 phase inverter. The winding method and a design of the machine geometry to maximize the advantage of the pole changing IM are shown. Also, a driving method of PCIM which can reduce the torque shock under the pole changing is described. Some simulation and experimental results show the effectiveness of PCIM and torque shock reduction under the high torque conditions.

关键词： Torque Voltage measurement design methodology Electric shock Windings Traction motors Inverters Induction machines Voltage control Power generation

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Field Trials of UHdTV Broadcasting over dTMB-A System

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SMPTE Motion Imaging Journal 2021年第9期130卷 47-59页

作者： Song, Jian Zhang, Chao Peng, Kewu Wang, Jintao Pan, Changyong Yang, Fang Wang, Jun Yang, Hui Xue, Yonglin Zhang, Yu Yang, Zhixing Beihang University Beijing China Hefei University of Technology Hefei China Tsinghua University Beijing China Research Institute of Information Technology DTV R&D Center of Tsinghua University Beijing China Department of Electronic Engineering Tsinghua University Beijing China

digital terrestrial television broadcasting (dTTB), the most fundamental infrastructure for audio/video transmission networks, can support multimedia information services, targeting lots of audiences within a wide area in an efficient way. The advanced version of digital television/terrestrial multimedia broadcasting (dTMB-A), one of the second-generation dTTB standards of the International Telecommunication Union, provides higher spectrum efficiency and better transmission reliability compared with dTMB. By adopting a more flexible frame structure, advanced forward error correction coding, and improved constellation mapping, it is confirmed that the transmission capacity of dTMB-A is around 30% higher than that of dTMB under the same conditions carried out in laboratory tests and field trials on dTMB-A. In this paper, the trial network and the measurement results focusing on ultrahigh-definition television (UHdTV, both UHd-1/4K and UHd-2/8K) and the single-frequency network (SFN) are presented in detail. The preliminary work on the Integrated Communications and Broadcasting Network (ICBN) concept using both dTMB-A and fifth-generation (5G) networks for UHdTV delivery is also highlighted. © 2002 Society of Motion Picture and Television Engineers, Inc.

关键词： digital television

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5G High Mast Inspection Based on a decentralized Autonomous Organization in the Framework of the OASEES Project

5G High Mast Inspection Based on a Decentralized Autonomous ...

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UNIfied Conference of International Workshop on defence Applications of Multi-Agent Systems, dAMAS 2023, International Conference on Maintenance engineering, IncoME-V 2023, International conference on the Efficiency and Performance engineering Network, TEPEN 2023

作者： Chochliouros, Ioannis Kourtis, Michail-Alexandros Xilouris, George Tavernier, Wouter Spiliopoulou, Anastasia Zaharis, Zaharias Lazaridis, Pavlos S.A. Fixed Network R&D Programs Section Maroussi-Athens15122 Greece National Center for Scientific Research "Demokritos" Agia Paraskevi15341 Greece IMEC-Department of Information Technology Ghent University Ghent9000 Belgium School of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki54124 Greece School of Computing and Engineering University of Huddersfield HuddersfieldHD1 3DH United Kingdom

ISBN: (纸本)9783031494123

In this work, based on the framework of the ongoing OASEES EU-funded project, we have discussed the concept of a decentralized Autonomous Organization (dAO) that operates on a blockchain and governed by smart contracts. Then we have focused upon the description of a specific use case related to high mast inspection of telecommunications infrastructures. OASEES intends to integrate the dAO paradigm for the self-organized operation of a drone swarm, which will rely on the tight consolidation of the networking (e.g., 5G/B5G) and edge acceleration technologies (e.g., Spiking Neural Networks). We have introduced this use case and also discussed current state-of-the-art together with existing limitations. In addition, we have identified intended scenarios of use and proposed specific requirements for conformance to the corresponding project architecture. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： drones

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Exploring the transformative impact of traditional Chinese medicine on depression:Insights from animal models

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World Journal of Psychiatry 2024年第5期14卷 607-623页

作者： Yan Yang Yan-Kun Chen Meng-Zhou Xie School of Nursing Hunan University of Chinese MedicineChangsha 410200Hunan ProvinceChina Precision Medicine R&D Center Zhuhai Institute of Advanced TechnologyChinese Academy of SciencesZhuhai 519000Guangdong ProvinceChina School of Chinese Medicine Hunan University of Chinese MedicineChangsha 410200Hunan ProvinceChina Hunan Engineering Technology Research Center for Medicinal and Functional Food Hunan University of Chinese MedicineChangsha 410200Hunan ProvinceChina Key Laboratory of TCM Heart and Lung Syndrome Differentiation and Medicated Diet and Dietotherapy Hunan University of Chinese MedicineChangsha 410200Hunan ProvinceChina

depression,a prevalent and complex mental health condition,presents a significant global health *** is one of the most frequent mental disorders;deaths from it account for 14.3%of people *** recent years,the integration of complementary and alternative medicine,including traditional Chinese medicine(TCM),has gained attention as a potential avenue for addressing *** comprehensive review critically assesses the efficacy of TCM interventions in alleviating depressive *** in-depth look at different research studies,clinical trials,and meta-analyses is used in this review to look into how TCM practices like herbal formulations,acupuncture,and mindbody practices *** review looks at the quality of the evidence,the rigor of the methods,and any possible flaws in the current *** gives us an idea of where TCM stands right now in terms of treating *** comprehensive review aims to assess the efficacy of TCM interventions in alleviating depressive *** order to learn more about their possible healing effects,the study also looks into how different types of TCM work,such as herbal formulas,acupuncture,and mind-body practices.

关键词： Traditional Chinese medicine depression Efficacy Treatment Holistic approach

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