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Construction of Chiral One-dimensional Chains via Mononuclear Chiral Precursors and Circular Dichroism Properties

Chinese Journal of Structural Chemistry 2021年第6期40卷 767-774,685页

作者： JU Hai-Yan YANG Ming ZHANG Gang LIU De-Zheng YANG Yong-Sheng ZHANG Yan-Bo School of Chemistry and Engineering Wuhan Textile UniversityWuhan 430073China Hubei Key Laboratory of Biomass Fibers and Eco-dyeing&Finishing Wuhan Textile UniversityWuhan 430073China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053China

One-dimensional(1D)chiral chain complexes[CuLSCu(Pydc)](2S)and[CuLRCu(Pydc)](2R)(LS=(E)-3-(((1S,2S)-2-(((E)-3-oxo-3-(4-pyridin-4-yl)phenyl)propylidene)amono)-1,2-diphenyl)imino)-1-(4-(py-ridi-4-yl)phenyl)butan-1-one)and LR=(E)-3-(((1R,2R)-2-(((E)-3-oxo-3-(4-pyridin-4-yl)phenyl)propyli-dene)amono)-1,2-diphenyl)imino)-1-(4-(pyridi-4-yl)phenyl)butan-1-one and Pydc=2,6-pyridinedicarboxylic acid)have been synthesized vis mononuclear chiral enantiomer precursors CuLS(1S)and CuLR(1R).Their different chiral configurations of 1S,1R,2S and 2R were determined by single-crystal X-ray diffraction analyses and further characterized by elemental analyses,infrared spectra(IR),powder X-ray diffraction(PXRD),thermal gravimetric analyses(TGA)and circular dichroism spectra(CD).

关键词： mononuclear chiral precursors 1D chiral chain circular dichroism spectra

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Distribution Pattern and Differentiation Thresholds of Gas Content in Large Oil-Filled Equipment 7

Distribution Pattern and Differentiation Thresholds of Gas C...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Liu, Rui Niu, Shilong Chen, Li He, Qing Yang, Tianhe Huang, Meng State Grid On-site Test and Evaluation Technology Laboratory For High Voltage Electrical Equipment Hubei Electrical Power Research Institute Wuhan China North China Electric Power University State Key Laboratory of New Energy Power System Beijing China State Grid Hubei Power Co. Wuhan China

ISBN: (纸本)9798350345094

In the existing threshold calculation methods, there are problems such as establishing distribution models based on large group data of different types of oil-filled equipment, or specifying the threshold using normal dissolved gases analysis (DGA) data of some individuals while fault data of others, etc. In order to address these problems, this paper proposes a differentiation gas content threshold calculation method applicable to large oil-filled equipment individuals. The method is based on the gas content normal data and fault data of individuals of oil-filled equipment, establishes parameter model based on the Weibull distribution to fit the data, and uses the inverse cumulative distribution function and the P-R curve to calculate and select the reasonable thresholds as the attention value and warning value. The differentiated thresholds are obtained for five kinds of large oil-filled equipment individuals, and compared with the traditional threshold calculation method, the thresholds obtained by this method are more effective in identifying defects and faults, and can significantly reduce the occurrence of false alarms and omissions. © 2023 IEEE.

关键词： Weibull distribution

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Transfer Task-Averaged Natural Gradient for Efficient Many-Task Optimization

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IEEE Transactions on Evolutionary Computation 2024年

作者： Li, Yanchi Gong, Wenyin Gu, Qiong China University of Geosciences School of Computer Wuhan430074 China Hubei University of Arts and Science School of Computer Engineering Xiangyang441053 China Hubei University of Arts and Science Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China

With the increasing requirement for computational efficiency in evolutionary algorithms when tackling many optimization tasks concurrently, many-task optimization (MaTO) has gained much attention in recent years. It involves extracting and transferring the knowledge from successful search experiences across many tasks. As the number of tasks and variable scale grows in MaTO, the need for efficient knowledge transfer in evolutionary algorithms becomes indispensable. In this paper, we present a task-averaged natural gradient-assisted natural evolution strategy (TNG-NES) to deal with MaTO efficiently. The task-averaged natural gradient captures how a group of task distributions evolves, considering their overall trends of mean and covariance. This can accelerate the optimization process across all tasks by leveraging the evolutionary similarities among multiple task search distributions. Notably, TNG-NES exhibits linear computational complexity concerning the number of tasks for knowledge transfer. Additionally, to adaptively utilize task-averaged natural gradient for distribution evolution and mitigate negative transfer, we introduce a transfer adaptive control mechanism for TNG-NES. We conducted extensive experiments on CEC19-MaTO, WCCI22-MaTO, our proposed large-scale MaTO benchmark suite, and real-world applications. The results validate the effectiveness of TNG-NES, outperforming state-of-the-art MaTO algorithms. © 1997-2012 IEEE.

关键词： Knowledge transfer

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Automating smart Internet of Things devices in modern homes using context-based fuzzy logic

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Computational Intelligence 2024年第1期40卷 e12370-e12370页

作者： Ming, Chen Kadry, Seifedine Dasel, A. Antony Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang China Department of Mathematics and Computer Science Beirut Arab University Beirut Lebanon Department of Mechanical Engineering VIT University Vellore India

Internet of Things (IoT) is mainly used to connect different embedded objects over the internet to make communication between them possible. With the help of IoT, devices find a way to interact, work together, and study from each other's experiences just like humans do. IoT finds its way in applications such as smart home, smart city, healthcare, agriculture, and so on. The name smart home arises due to the automation of the normal home appliances to make it smart. When the devices of the normal smart home are connected via the internet, they become a part of the IoT. The smart home should ensure the following characteristics such as security, comfort, convenience, and energy saving. The article presents a technique for IoT controlled devices in a smart home using context-based fuzzy logic. Fuzzy logic is mainly used to monitor and analyze the real-time data collected from the sensors in the smart homes from various environments. Context-based fuzzy logic uses a multivalued logic principle which differs from the normal Boolean logic, where the truth value lies between only zero and one (ie, true or false). The proposed smart home is implemented in a real case scenario where it yields an accuracy of 90.5%, response time of 6.41 milliseconds, and an F-measure of 97%. © 2020 Wiley Periodicals LLC.

关键词： Internet of things

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Stackelberg-Game Computation Offloading Scheme for Parked vehicle-Assisted VEC and Experiment Analysis

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent vehicles 2024年 1-12页

作者： Liu, Chunhong Zhao, Mengdi Wang, Huaichen Cheng, Bo Liu, Jialei Yuan, Peiyan Engineering Lab of Intelligence Business & Internet of Things and School of Computer and Information Engineering Henan Normal University Xinxiang China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle and School of Computer Engineering Hubei University of Arts and Science Xiangyang China

vehicle edge computing (VEC) offers users low-latency and high-reliability services by using computational resources at the network's edge. Nevertheless, because of inadequate infrastructure and limited resources, computation-intensive and delay-sensitive vehicle applications cannot be performed efficiently at the edge. Therefore, several studies have used the idle resources of parked vehicles to assist in computation offloading. In this paper, we propose a parked vehicle-assisted vehicle edge computing architecture considering multi-agent collaboration, including intelligent vehicles and edge servers. Additionally, we propose a framework for a parallel Internet of vehicles (IoV) utilizing computational experiment. The service provider is assigned the role of owning VEC resources and recruiting parking vehicle resources. The model was constructed by using the resource consumption-service relationship of both offloading parties to ensure service quality. First, a Stackelberg game model was constructed based on the interaction between requesting vehicles and a service provider. The latter was the leader, and the requesting vehicles were the followers. The Nash equilibrium for optimal pricing and offloading allocations was attained and verified, and a distributed gradient-based equilibrium algorithm was designed to solve the Stackelberg game model and obtain the final decision through mutual communication. The method also protects the privacy of participants and respects the willingness of requesting vehicles to offload. Finally, the simulation experiments confirmed that the proposed algorithm can achieve game equilibrium. Furthermore, it outperformed state-of-the-art algorithms in improving the service provider's utility. IEEE

关键词： vehicles

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Evolutionary Competitive Multiobjective Multitasking: One-Pass Optimization of Heterogeneous Pareto Solutions

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IEEE Transactions on Evolutionary Computation 2024年

作者： Li, Yanchi Wu, Xinyi Gong, Wenyin Xu, Meng Wang, Yubo Gu, Qiong China University of Geosciences School of Computer Wuhan430074 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Hubei University of Arts and Science School of Computer Engineering Xiangyang441053 China Hubei University of Arts and Science Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China

Competitive multiobjective multitask optimization (CMO-MTO) problems involve multiple tasks with comparable objectives but heterogeneous decision variables. The final Pareto front in CMO-MTO consists of multiple subsets corresponding to different tasks. Since the Pareto front subset of one task may be dominated by that of another, competition arises among tasks. Additionally, there may be exploitable similarities among tasks that evolutionary multitasking methods can leverage. For a comprehensive study of CMO-MTO, we construct 12 benchmark CMO-MTO problems with varied competitive relationships and inter-task similarities. To effectively solve CMO-MTO problems, we propose a reference vector contribution-based multitask evolutionary algorithm (RVC-MTEA). RVC-MTEA facilitates both global and local knowledge transfer based on vector contributions and integrates global archives to gather non-dominated solutions across multiple competitive tasks. Comparative results with four popular single-task and six state-of-the-art multitask evolutionary algorithms demonstrate the efficacy of RVC-MTEA. Finally, we apply RVC-MTEA to several real-world applications, showcasing the potential of CMO-MTO in practical decision-making scenarios. © 1997-2012 IEEE.

关键词： Competition

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Near-field Acoustic Holography Using Compressive Sensing and Particle Velocity Measurement

Near-field Acoustic Holography Using Compressive Sensing and...

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第八届国际振动工程会议

作者： Wen-Qian Jing Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science

The conventional near-field acoustic holography（NAH） is restricted by the Nyquist criterion to acquire higher accuracy and resolution with a small amount of spatial sampling *** by the compressive sensing（CS） theory, sparse sampling of pressuresignals is applied to NAH to reduce the number of spatial sampling points but still provide a high-resolution reconstruction image. This paperisgoing toconsider the sparsity of particle velocity signalsand apply it to NAH. Due to the superior performance of the particle velocity overthepressure, the NAH based on the CS and the particle velocity measurement can be expected to be effective and show advantage over the existing sparse sampling ofpressuremethods. And the numerical simulation results confirmed the interesting expectation.

关键词： near-field acoustic holography compressive sensing particle velocity

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Variable Speed Leakage Characteristics of Scroll Compressors for Miniature Compressed Energy Storage

SSRN

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SSRN 2024年

作者： Qi, Shijia Liu, Zhen Li, Zheng Zhang, Zhichao Huang, Tengjun Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Hubei Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Hubei Xiangyang441053 China Department of Mechanical and Construction Engineering Northumbria University Newcastle upon TyneNE1 8ST United Kingdom

Scroll compressor is especially suitable for miniature compressed air energy storage systems. This paper analyzes the influence of rotational speed on the radial leakage characteristics of a scroll compressor by developing a three-dimensional transient numerical model with radial clearance. In this model, the fluid flow in the chamber of the scroll compressor at different rotating speeds is simulated using the dynamic grid technology. The method of monitoring points is used to obtain a lot of flow field information in the chamber during the working process, thus revealing the change in the transient flow field in the chamber and the influence of rotational speed on compression performance. The results show that within a certain speed range, when the power consumption increases, the deviation between the theoretical volume flow rate and the actual volume flow rate increases with the increase in speed, but the leakage loss gradually decreases. The leakage flow disturbs the uniformity of flow field distribution in the corresponding chamber but does not change the evolution trend of the flow field. The air flow rate in each chamber is gradually increasing. Still, the upstream diffusion of the leakage air flow temperature in the same compression chamber is blocked, which leads to a gradual decrease in the air temperature in the corresponding chamber. As a result, the temperature in the chamber gradually becomes evenly distributed, and the high-temperature region is increasingly concentrated in the downstream region of the compression chamber. The results of this study provide a theoretical basis for the prototype's improvement and optimization by analyzing the scroll compressor's performance parameters in practical work. © 2024, The Authors. All rights reserved.

关键词： Numerical models

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Fast road scenarios recognition of intelligent vehicles by image processing

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International Journal of Information and Communication Technology 2021年第1期18卷 1-15页

作者： Wu, Huawei Li, Yicheng Zhang, Jie Kuang, Yong Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang441053 China Automotive Engineering Research Institute Jiangsu University Zhenjiang212013 China Cangzhou Medical College Cangzhou061001 China Dongfeng Xiangyang Touring Car Co. Ltd. China

Road scenarios recognition is a key point for intelligent vehicles (IVs) self-localisation. This paper proposes a fast road scenarios recognition method by image processing, which is based on a visual road model. First, a sequence of images is used to set up a visual road model. Second, we use the ORB method to encode both holistic and local features of a query image. Third, we extend the use of H-KNN to fuse ORB-encoded holistic and local features for road scenarios recognition. Real-world driving tests have been carried out in different routes scenarios. The total lengths of these routes are more than 5 km. The experiment results show that the proposed method achieved 80.2% image recognition rate, with about 18 ms in average for localisation from one image. The results demonstrate that the main method is promising in term of recognition accuracy and speed to develop low-cost recognition device for IVs. © 2021 Inderscience Enterprises Ltd.

关键词： Computer vision

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Field-Harmonic-Oriented design of Vernier Permanent Magnet Machine Towards High Torque Density and Low Torque Ripple 26

Field-Harmonic-Oriented Design of Vernier Permanent Magnet M...

引用

26th International Conference on electrical Machines and systems, ICEMS 2023

作者： Fang, Li Li, Dawei Zhang, Yuanzhi Wu, Jiewen Huazhong University of Science and Technology School of Electrical and Electronics Engineering Wuhan China Wuhan University School of Electricla Engineering and Automation Hubei Key Laboratory of Power Equipment and System Security for Integrated Energy Wuhan China National University of Singapore College of Design and Engineering Singapore

ISBN: (纸本)9798350317589

Vernier permanent magnet machine (VPMM) has been a promising candidate for low-speed large-torque applications owing to high torque density based on multiple-magnetic field-harmonics working principle However, rich field harmonics also cause large torque ripple, meanwhile the regular reducing methods will also undermine torque density. In this paper, the field-harmonic-oriented design approach is proposed for the VPMM towards high torque density and low torque ripple. Based on the permeance unit model, the mapping relationship between torque output and field harmonics is built. Explicit design regulations are established for the airgap structure so as to modulate the optimal field harmonics composition. Via the proposed method, a surface-mounted VPMM is purposely designed and the electromagnetic performance is verified by FEA. Finally, a prototype of the proposed machine has been manufactured and tested. Both analytical and experimental results validate the feasibility of the proposed design method. © 2023 IEEE.

关键词： Torque

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