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5th International Conference on Building Energy and Environment, COBEE 2022

作者： Alfata, Muhammad Nur Fajri Trihamdhani, Andhang rakhmat Kubota, Tetsu Asawa, Takashi Directorate for Settlements and Housing Engineering Development Ministry of Public Works and Housing Jakarta Selatan Indonesia YKK AP R&D Center Indonesia Tangerang Indonesia Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan School of Environment and Society Tokyo Institute of Technology Meguro City Japan

ISBN: (纸本)9789811998218

A full-scale experimental house to develop comprehensive passive cooling techniques for affordable apartments in the hot and humid climate of Indonesia was constructed in the city of Tegal in 2020. It is a 2- to 3-storey apartment building with a pilotis on the ground floor, consisting of 12 units with a total floor area of approximately 2000 m2. This study explains the passive design concept of the experimental house, focusing on the ventilation strategies using a vertical void, and presents the results of a preliminary field measurement of indoor thermal environments. Major thermal parameters were measured under different ventilation conditions. The results showed that the structural cooling effect by the nocturnal ventilation was apparent, but it was difficult to achieve indoor thermal comfort during the peak hours by the nocturnal ventilation alone. This implies that further additional passive cooling techniques such as radiant floor cooling and evaporative cooling are necessary. Moreover, the effect of indoor wind speed on thermal comfort of the tropical occupants should be considered more in detail. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ventilation

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A decision-Making Framework for Financial Trading Using Linear Tree-Based Kernel Support Vector Machine Classifier 7th

A Decision-Making Framework for Financial Trading Using Line...

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： das, Gurumukh Singh, Gurdeep Zindani, divya Shanmugasundar, G. Chohan, Jasgurpreet Singh Kalita, Kanak Uttar Pradesh Agra282 005 India Punjab Ludhiana141013 India College of Engineering Kalavakkam India Department of Mechanical Engineering Sri Sai Ram Institute of Technology Chennai600044 India Department of Mechanical Engineering University Centre for Research and Development Chandigarh University Mohali140413 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi600062 India Jadara University Research Center Jadara University Irbid Jordan

ISBN: (纸本)9783031733239

In today's rapidly evolving financial landscape, numerous investors and hedge funds have gravitated towards stock markets, captivated by their extensive range of instruments and lucrative investment opportunities. despite their allure, navigating the stock market landscape is intricate. It demands financial traders to remain vigilant, identifying thriving firms and diligently tracking stock price oscillations to devise potent trading strategies. In recent times, cutting-edge technological advancements like artificial intelligence and machine learning have revolutionized stock price predictions. Machine learning (ML) algorithms, especially Support Vector Machines (SVM), have become instrumental in predicting stock movements. However, an often-underacknowledged limitation of SVM is its susceptibility to overfit in the presence of noisy and intricate datasets. Addressing this gap, our research introduces the innovative Linear Tree-based Kernel Support Vector Machine (LT-KSVM) for enhanced stock market price forecasts. We empirically validated our approach by creating a portfolio of stocks from the Saudi Stock Exchange (Tadawul). Simulated trades over a span of 3.7 years were deployed to assess the portfolio's predicted performance. We meticulously executed three preprocessing phases to enhance stock price movement forecasts. remarkably, our proposed framework demonstrated astounding potential, boasting over 90% returns. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Forestry

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IEEE 802.1AS Precision Time Protocol Full Hardware Prototyping for Industrial IoT

IEEE 802.1AS Precision Time Protocol Full Hardware Prototypi...

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Consumer Communications and Networking Conference, CCNC IEEE

作者： Naotaka Sakaguchi ryusuke Kawate Yukimasa Nagai Information Technology R&D Center Mitsubishi Electric Corporation Kamakura JAPAN Communication Engineering Center Mitsubishi Electric Corporation Tokyo JAPAN

Highly accurate time synchronization is increasingly required in many Industrial IoT devices, including synchronization among mobile base stations for 5G network system, video distribution, factory automation, and automotive in-vehicle networks. IEEE 802.1AS-2020, a profile for industrial and automotive networks that enables network synchronization on the order of microseconds or less, has attracted much attention. This standard, however, is specified with software processing in mind, and makes it difficult to build systems with very high accuracy. This paper presents the performance evaluation of IEEE 802.1AS-2020 using our hardware prototype implemented on Industrial IoT devices. Our proposed hardware method achieves highly accurate time synchronization for precision time protocol with a target of 50 ns and a fluctuation within±20 ns.

关键词： Performance evaluation Protocols Fluctuations Prototypes Hardware Software Synchronization

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Fabrication of Hollow Fiber Nanofiltration Membrane with Poly(vinyl Chloride) Substrate for the removal of Chemicals of Concern

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Industrial and engineering Chemistry research 2023年第43期62卷 17914-17922页

作者： Liu, Sihua Shi, Le Wang, Xuan Hung, Wei-Song Zhang, Jianhua Lu, Xiaolong Lee, Kueir-rarn Wu, Chunrui Gao, Li State Key Laboratory of Separation Membranes and Membrane Processes School of Material Science and Engineering Tiangong University Tianjin300387 China Advanced Membrane Materials Research Center Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan Institute for Sustainable Industries and Liveable Cities Victoria University MelbourneVIC8001 Australia R&D Center for Membrane Technology Department of Chemical Engineering Chung Yuan University Taoyuan32023 Taiwan South East Water Corporation SeafordVIC3198 Australia

A hollow fiber nanofiltration (NF) membrane fabricated on poly(vinyl chloride) (PVC) substrate was studied for the removal of chemicals of concern (CoCs). The functional layer of the hollow fiber NF membrane was fabricated via interfacial polymerization of piperazine (PIP) and trimesoyl chloride (TMC) on the lumen side of the PVC ultrafiltration membrane. A gas sweeping method was employed during the fabrication of the NF functional layer and was assessed based on the separation performance of the NF membrane. It was found that the sweeping gas could increase the performance of the NF membrane, which is also affected by the concentration of PIP and TMC solutions. NF membranes prepared under optimized gas sweeping conditions had a Pb(NO3)2 rejection of 93% and a flux of about 24 L·m-2·h-1. The rejections to Na2SO4, MgSO4, NaCl, glucose, and sucrose were 96.5, 95.3, 53.7, 91.7, and 98.2%, respectively. Moreover, the results of spike tests show that the NF membrane could effectively reject the incident CoCs up to eight times the regulated values. © 2023 American Chemical Society.

关键词： Sodium chloride

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Study on Wake of a Yawed Square Cylinder Using Particle Image Velocimetry 7

Study on Wake of a Yawed Square Cylinder Using Particle Imag...

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7th International Technical Conference on Frontiers of Hydraulic and Civil engineering technology, HCET 2022

作者： Lou, Xiaofan Xu, Xiaochun ren, Lei R&D Center of Hydro-ecology and Smart Water Technology Research Institute of Tsinghua Pearl River Delta Guangzhou510530 China School of Ocean Engineering and Technology Sun Yat-Sen University Zhuhai519082 China

ISBN: (纸本)9781643683546

The wake of a yawed square cylinder undergoing steady flow was examined by employing particle image velocimetry (PIV) technique. The present study is concerned with the independence principle (IP) for a square cylinder by examining the effect of the yaw angle (a) on the velocity signals and the vortical structures. The normalized Strouhal number indicates that the IP is no longer applicable when a reaches 45°. At a = 45°, the distorted vorticity contour and the reduction of the vorticity strength, imply the significant effect of the yaw angle. The generation of the axial flow from the base of the yawed cylinder makes the communication between the shear layers more difficult and hence weakens the vortex shedding process, which manifests a strong three-dimensionality of the wake, resulting in the invalidity of the IP for a = 45°. © 2022 The authors and IOS Press.

关键词： Wakes

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Open-delta Flux-Modulating Consequent Pole Motors

Open-Delta Flux-Modulating Consequent Pole Motors

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Magnetic Conference - Short Papers (INTErMAG Short Papers), IEEE International

作者： Hiroshi Mitsuda Tadashi Fukami Masato Koyama Toshinori Tanaka Graduate School of Engineering Kanazawa Institute of Technology Ishikawa Japan Advanced Technology R&D Center Mitsubishi Electric Corporation Hyogo Japan

This paper proposes a new variable-flux permanent magnet (PM) motor, named the "open-delta flux-modulating consequent pole motor (OFCM)." The armature winding of the proposed OFCM is connected in open-delta and is also used as a field winding by simultaneously supplying a three-phase armature current and a dC field current. The flux linkage of the armature winding can be adjusted by changing the field current. The flux-regulation capability of the OFCM is confirmed through three-dimensional finite element analysis (3-d FEA) and experiments conducted on a prototype machine.

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T-KMGA a Two-Stage Approach for Collaborative Task Allocation with Air-Sea Heterogeneous Autonomous Unmanned Systems

T-KMGA a Two-Stage Approach for Collaborative Task Allocatio...

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International Conference on Guidance, Navigation and Control, ICGNC 2024

作者： Chen, Xinyu Qi, Juntong Peng, Yan Ping, Yuan Wu, Chong Wang, Mingming Institute of Artificial Intelligence Shanghai University Shanghai China EFY Intelligent Control (Hainan) Technology Co. Ltd. R&D Center Hainan China Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System Institute of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9789819622634

This paper introduces a two-stage method, combining K-means++ and a modified genetic algorithm (T-KMGA), aimed at simplifying collaborative task allocation complexity and enhancing operational efficiency within heterogeneous autonomous task allocation unmanned systems. The proposed T-KMGA constructs a solution for task allocation through two stages: task clustering and path planning. In the first stage, we develop a modified K-means++ clustering model sensitive to unmanned aerial vehicle (UAV) endurance radii to tackle the increasing complexity of task allocation as the scale of tasks grows. In the second stage, we propose a modified genetic algorithm to plan paths for multiple UAVs and a single unmanned surface vehicle (USV) to minimize the execution time of cooperative tasks. We adopt a virtual node encoding method to solve the multiple UAV task allocation problem in the second stage. The effectiveness of the proposed approach is assessed through simulation experiments. The results demonstrate that the proposed method can significantly reduce task execution time and computational consumption, especially in large-scale task scenarios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： air-sea heterogeneous unmanned systems cooperative task allocation genetic algorithms k-means++ Task allocation

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BET inhibitors enhance the anti-cancer effect of etoposide by suppressing the MrN-ATM axis in the dNA damage response

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Genes & diseases 2024年第1期11卷 19-22页

作者： Zhenhai Li Wenchao Xu Feng Chen Jun Zhang Wei-Guo Zhu Guangdong Key Laboratory of Genome Instability and Human Disease Prevention Department of Biochemistry and Molecular BiologyShenzhen University School of MedicineShenzhenGuangdong 518055China School of Pharmaceutical Sciences Shenzhen University Health Science CenterShenzhenGuangdong 518055China Base for International Science and Technology Cooperation:Carson Cancer Stem Cell Vaccines R&D Center International Cancer CenterShenzhen University Health Science CenterShenzhenGuangdong 518055China Shenzhen Bay Laboratory Shenzhen University School of MedicineShenzhenGuangdong 518055China Marshall Laboratory of Biomedical Engineering Shenzhen University School of MedicineShenzhenGuangdong 518055China

Etoposide is widely used for cancer chemotherapy in the ***,long-term etoposide treatment can lead to adverse effects or drug *** improve the situation,we evaluated the therapeutic efficiency of etoposide combined with inhibitors of bromodomain and extraterminal(BET)family proteins,which have recently emerged as novel anti-cancer targets due to their critical roles in cancer ***,we showed Brd4,one of the main targets of BET inhibitors,was involved in dNA damage response(ddr)via the homologous recombination(Hr)repair pathway.

关键词： etoposide damage cancer

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A driver Fatigue Modeling Method Based on Enhanced EEG-EOG Fusion Network for Human-Machine Co-driving

A Driver Fatigue Modeling Method Based on Enhanced EEG-EOG F...

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Signal Processing, Communications and engineering Management Conference (ISPCEM), International

作者： Yinan Wang Yang Zhao Lizhou Gong Yewei Yu Hanxu Liu School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Global R&D Center China FAW Corporation Limited Changchun China

ISBN: (数字)9798331528676

ISBN: (纸本)9798331528683

driver fatigue detection serves as an essential tool in the process of human-machine co-driving, capable of promptly alerting intelligent systems to assume control of the vehicle. The detection of driver fatigue based on EEG signals currently stands as a primary method for assessing the mental state of individuals. However, at the same time, there are still some problems with EEG signals, such as being prone to noise interference and low cross-subject recognition rate. In addressing the aforementioned issues, this study introduces a method for modeling driver fatigue through the fusion of features extracted from EEG and EOG signals. The proposed model incorporates high-precision EEG equipment and good cross-subject EOG equipment as input. Comprising EEGNet, SANet (Spatial Attention Network), SCONV (and Separable Convolutional Network), the model employs a multi-modal approach to assess driver performance and quantify fatigue. The model effectiveness was verified on the SEEd-VIG data set. The test results show that the recognition accuracy of this method reaches 91%, which is better than the currently popular model. At the same time, the cross-subject recognition accuracy test was conducted, and the average accuracy reached 87%, which proved the generalization performance of the model across subjects and verified the effectiveness of the model.

关键词： Electrooculography Accuracy Human-machine systems Signal processing algorithms Brain modeling Fatigue Feature extraction Electroencephalography robustness Vehicles

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Mitigation of Subsynchronous Control Interaction in dFIG-Based Wind Farm Using SdC-LAdrC

Mitigation of Subsynchronous Control Interaction in DFIG-Bas...

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Energy Storage and Conversion (ISESC), CPSS & IEEE International Symposium on

作者： Binbin Chen damin Zhang Jiongqiong Cao Yichuan Zhong Jinping Huang Yuanzhong Zhang College of Electrical Engineering and Automation Xiamen University of Technology Xiamen China Kehua data R&D Center Kehua Data Co Ltd Xiamen China

ISBN: (数字)9798350380514

ISBN: (纸本)9798350380521

The interaction between wind farms based on doubly-fed induction generators (dFIG) and series capacitors in transmission lines can result in sub-synchronous control interaction (SSCI). due to the influence of system conditions on the oscillation frequency of SSCI, traditional supplementary sub-synchronous damping control (SSdC) methods, which rely on phase compensation and filtering parameters, become inadequate under varying conditions. To address this issue, this paper proposes a novel supplementary damping-based linear active disturbance rejection control (SdC-LAdrC) approach to mitigate SSCI in various scenarios. First, a supplementary damping controller (SdC) is designed to enhance positive damping on the rotor side. Next, the combination of LAdrC control and SdC replaces rotor-side converter (rSC) inner loop control. The SdC-LAdrC controller leverages the linear extended state observer (LESO) within the LAdrC framework to estimate subsynchronous disturbances and provide real-time feedback compensation. This approach effectively suppresses SSCI at full compensation levels, outperforming traditional SSdC methods. Finally, the effectiveness of proposed control method is verified through MATLAB/ Simulink simulation tools.

关键词： damping robust control Employee welfare Prevention and mitigation Wind farms Wind power generation real-time systems State estimation Oscillators Frequency control

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