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Chinese Chemical Letters 2022年第1期33卷 358-361页

作者： Ying-Ying Li Rong-zhen liao Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of EducationHubei Key Laboratory of Bioinorganic Chemistry and Materia MedicaHubei Key Laboratory of Materials Chemistry and Service FailureSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Vitamin B_(12)(macrocyclic cobalamin)has been recently reported to be capable of electrochemically catalyzing water oxidation in a neutral phosphate buffer *** this work,density functional calculations were employed to elucidate the water oxidation mechanism catalyzed by vitamin B_(12).The calculations showed that the catalytic cycle starts from the L·-Co^(Ⅱ)-OH_(2)complex 1.A proton-coupled electron transfer process then leads to the formation of a L^(·)-Co^(Ⅲ)-OH complex 2,followed by another proton-coupled electron transfer event to afford a corrin ligand radical cation intermediate 3(L^(·)-Co^(Ⅲ)-O^(·)).The redox non-innocent nature of the corrin ligand plays an essential role in the oxidation process.3 is capable of triggering the O-O bond formation via a water nucleophilic attack mechanism,in which a hydrophosphate dianion functions as a base to accept a proton from the water nucleophile.A dioxygen molecule is released after the oxidation of the Co^(Ⅲ)-OOH *** rate-determining step was calculated to be the O-O bond formation with a total barrier of 16.5 kcal/*** the use of water molecules as the proton acceptor was found to be less feasible for the O-O bond formation,with a barrier of 31.2 kcal/mol,further highlighting the crucial of phosphate in water oxidation.

关键词： Water oxidation DFT calculations Mechanism Vitamin B_(12) Cobalt

Identity-based aggregate signcryption in the standard model from multilinear maps

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Frontiers of Computer Science 2016年第4期10卷 741-754页

作者： Hao WANG zhen LIU zhe LIU Duncan S. WONG School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Labe ratory for Novel Distributed Computer Software Technology Jinan 250014 China Security and Data Sciences Hong Kong Applied Science and Technology Research Institute (ASTRI) Hong Kong China Laboratory of Algorithmics Cryptology and Security (LACS) University of Luxembourg Luxembourg L-1359 Luxembourg

Signcryption is a public key cryptographic method that achieves unforgeability and confidentiality simultaneously with significantly smaller overhead than that required by ＂digital signature followed by public key encryption＂. It does this by signing and *** a message in a single step. An aggregate signcryption scheme allows individual signcryption ciphertexts intended for the same recipi- ent to be aggregated into a single （shorter） combined ciphertext without losing any of the security guarantees. We present an aggregate signcryption scheme in the identity-based setting using multilinear maps, and provide a proof of security in the standard model. To the best of our knowledge, our new scheme is the first aggregate signcryption scheme that is secure in the standard model.

关键词： identity-based aggregate signcryption multilinear maps standard model GGH framework

Laser-induced breakdown spectroscopy in Asia

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Frontiers of physics 2016年第6期11卷 231-255页

作者： zhen-zhenWang Yoshihiro Deguchi zhen-zhen Zhang zhe Wang Xiao-Yan Zeng Jun-Jie Yan State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an 710049 China Graduate School of Advanced Technology and Science Tokushima University Tokushima 770-8501 Japan State Key Lab of Power Systems Department of Thermal Engineering Tsinghua-BP Clean Energy Center Tsinghua University Beijing 100084 China Wuhan National Laboratory for Optoelectronics (WNLO) Huazhong University of Science and Technology Wuhan ~3007~ China

Laser-induced breakdown spectroscopy (LIBS) is an analytical detection technique based on atomic emission spectroscopy to measure the elemental composition. LIBS has been extensively studied and developed due to the non-contact, fast response, high sensitivity, real-time and multi-elemental detection features. The development and applications of LIBS technique in Asia are summarized and discussed in this review paper. The researchers in Asia work on different aspects of the LIBS study in fundamentals, data processing and modeling, applications and instrumentations. According to the current research status, the challenges, opportunities and further development of LIBS technique in Asia are also evaluated to promote LIBS research and its applications.

关键词： laser-induced breakdown spectroscopy (LIBS) quantitative analysis signal enhancement applications challenges

Unprecedented Hot Extremes Observed in City Clusters in China during Summer 2022

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Journal of Meteorological Research 2023年第2期37卷 141-148页

作者： Yufeng YUAN zhen liao Baiquan ZHOU Panmao ZHAI Key Laboratory of Meteorological Disaster of Ministry of Education Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science&TechnologyNanjing210044 State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing100081

We report here extreme daytime and nighttime temperatures,severe heatwaves,and compound hot events recorded in China's five most densely populated city clusters in summer *** records were set,with daytime maximum temperatures>42℃in cities along the Yangtze River valley and extreme nighttime temperatures>30℃.Widespread prolonged heatwaves lasting for>40 days and compound hot days occurring for>32 consecutive days were experienced in these city *** explore the possible causes of these extreme events,we analyzed the linkages between the changes in the mean temperatures and hot extremes for different-sized cities in the city *** found that megacities(e.g.,Beijing,Shanghai,Guangzhou,etc.)and large cities(e.g.,Baoding,Wuxi,Foshan,etc.),especially those located in central and eastern China,experienced unprecedented extreme high temperatures,not only in the daytime but also at *** observed large increases in the mean temperatures and more frequent and more intense hot extremes in cities affected by both the background global warming and intensified *** and large cities experienced higher and more frequent extreme temperatures and greater warming trends than medium-and small-sized cities(e.g.,Zhangjiakou,zhenjiang,Yaan,etc.).The evidence of the dependence of temperature trends on a city's size shows that intensified heat island effects may increase the threat of hot extremes in cities undergoing rapid urbanization.

关键词： China city clusters hot extremes summer 2022

Data-driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 874-885页

作者： Wenlong liao Dechang Yang Qi Liu Yixiong Jia Chenxi Wang zhe Yang Wind Engineering and Renewable Energy Laboratory Ecole Polytechnique Federale de Lausanne(EPFL)Lausanne 1015Switzerland the College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China the Department of Electrical and Electronic Engineering(Energy Digitalization Laboratory) The University of Hong KongHong KongChina the Department of Electrical Engineering The Hong Kong Polytechnic UniversityHong KongChina

Reactive power optimization of distribution networks is traditionally addressed by physical model based methods,which often lead to locally optimal solutions and require heavy online inference time *** improve the quality of the solution and reduce the inference time burden,this paper proposes a new graph attention networks based method to directly map the complex nonlinear relationship between graphs(topology and power loads)and reactive power scheduling schemes of distribution networks,from a data-driven *** graph attention network is tailored specifically to this problem and incorporates several innovative features such as a self-loop in the adjacency matrix,a customized loss function,and the use of max-pooling ***,a rulebased strategy is proposed to adjust infeasible solutions that violate *** results on multiple distribution networks demonstrate that the proposed method outperforms other machine learning based methods in terms of the solution quality and robustness to varying load ***,its online inference time is significantly faster than traditional physical model based methods,particularly for large-scale distribution networks.

关键词： Reactive power optimization graph neural network distribution network machine learning data-driven

Data-driven Reactive Power Optimization for Distribution Networks Using Capsule Networks

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1274-1287页

作者： Wenlong liao Jiejing Chen Qi Liu Ruijin Zhu Like Song zhe Yang AAU Energy Aalborg UniversityAalborgDenmark School of Softwareand Microelectronics Peking UniversityBeijingChina Key Laboratory of Smart Gridof Ministry of Education Tianjin UniversityTianjinChina School of Electrical Engineering Tibet Agriculture and Animal Husbandry UniversityLinzhiChina Maintenance Branch of State Grid Jibei Electric Power Co. Ltd.BeijingChina

The construction of advanced metering infrastructure and the rapid evolution of artificial intelligence bring opportunities to quickly searching for the optimal dispatching strategy for reactive power optimization. This can be realized by mining existing prior knowledge and massive data without explicitly constructing physical models. Therefore, a novel datadriven approach is proposed for reactive power optimization of distribution networks using capsule networks(CapsNet). The convolutional layers with strong feature extraction ability are used to project the power loads to the feature space to realize the automatic extraction of key features. Furthermore, the complex relationship between input features and dispatching strategies is captured accurately by capsule layers. The back propagation algorithm is utilized to complete the training process of the CapsNet. Case studies show that the accuracy and robustness of the CapsNet are better than those of popular baselines(e.g.,convolutional neural network, multi-layer perceptron, and casebased reasoning). Besides, the computing time is much lower than that of traditional heuristic methods such as genetic algorithm, which can meet the real-time demand of reactive power optimization in distribution networks.

关键词： Data-driven reactive power optimization distribution networks deep learning capsule networks

Robust Reactive Power Scheduling of Distribution Networks Based on Modified Bootstrap Technique

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 154-166页

作者： Wenlong liao Shouxiang Wang Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai zhe Yang the AAU Energy Aalborg UniversityAalborg 9220Denmark the Key Laboratory of Smart Grid Ministry of EducationSchool of Electrical and Information EngineeringTianjin UniversityTianjin 300072China

The uncertainties of the power load,wind power,and photovoltaic power lead to errors between point prediction values and real values,which challenges the safe operation of distribution *** this paper,a robust reactive power scheduling(RRPS)model based on a modified bootstrap technique is proposed to consider the uncertainties of power loads and renewable energy ***,a deterministic reactive power scheduling(DRPS)model and an RRPS model are ***,a modified bootstrap technique is proposed to estimate prediction errors of power loads and renewable energy sources without artificially assuming the probability density function of prediction *** represent all possible scenarios,point prediction values and prediction errors are combined to construct two worst-case scenarios in the RRPS ***,the RRPS model is solved to find a scheduling scheme,which ensures the security of distribution networks for all possible scenarios in *** results show that the worst-case scenarios constructed by the modified bootstrap technique outperform popular ***,the RRPS model based on the modified bootstrap technique balances economics and security well.

关键词： Distribution network worst-case scenario robust programming prediction error bootstrap technique

Scenario Generation for Cooling,Heating,and Power Loads Using Generative Moment Matching Networks

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CSEE Journal of Power and Energy Systems 2022年第6期8卷 1730-1740页

作者： Wenlong liao Yusen Wang Yuelong Wang Kody Powell Qi Liu zhe Yang Department of Energy Technology Aalborg UniversityAalborg 9220Denmark School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSE-10044Sweden State Grid Tianjin Chengxi Electric Power Supply Branch Tianjin 300100China Department of Chemical Engineering University of UtahUT 84112America Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China

Scenario generations of cooling,heating,and power loads are of great significance for the economic operation and stability analysis of integrated energy *** this paper,a novel deep generative network is proposed to model cooling,heating,and power load curves based on generative moment matching networks(GMMNs)where an auto-encoder transforms highdimensional load curves into low-dimensional latent variables and the maximum mean discrepancy represents the similarity metrics between the generated samples and the real *** training the model,the new scenarios are generated by feeding Gaussian noises to the scenario generator of the *** the explicit density models,the proposed GMMN does not need to artificially assume the probability distribution of the load curves,which leads to stronger *** simulation results show that the GMMN not only fits the probability distribution of multiclass load curves very well,but also accurately captures the shape(e.g.,large peaks,fast ramps,and fluctuation),frequency-domain characteristics,and temporal-spatial correlations of cooling,heating,and power ***,the energy consumption of generated samples closely resembles that of real samples.

关键词： Deep learning generative moment matching networks integrated energy systems scenario generations

Random Group Recommendation Model Based on Fuzzy Clustering

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Journal of Electronic Science and Technology 2020年第2期18卷 169-178页

作者： zhe Ding zhen Qin Qi-Xu Wang Zhi-Guang Qin School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610054

The group recommendation system is a viral requirement for the Internet service provider to provide recommendation services for all the users in a group. Due to the shared or different interests among users in the group, it is difficult for traditional personal recommendation algorithms to predict items that can meet the requirements of all the users in the group. In this paper, a random group recommendation model is proposed to recommend the top K most appealing items for all the users in a random group. By analyzing item ratings of all the users in the group, the recommendation model can abstract the group as a virtual user. Then a personal recommendation algorithm is applied to suggest the top K most appealing items for the virtual user. And the preference score and fuzzy clustering algorithm based on multiclass are applied to optimize the recommendation result of the group recommendation model. Finally, the Movie Lens-100 K dataset is applied to verify the efficiency of the recommendation model. The experimental results show that the items recommended by the proposed group recommendation model are more popular for all the users in the group than the items recommended by traditional group recommendation algorithms.

关键词： services app service

Identification and temporal expression profiles of cuticular proteins in the endoparasitoid wasp,Microplitis mediator

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Insect Science 2020年第5期27卷 998-1018页

作者： Olga Volovych zhe Lin Jie Du Hong Jiang zhen Zou State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina

Recently,parasitoid wasp species Microplitis mediator has evoked increasing research attention due to its possible use in the control of Lepidoptera *** insect development involves changes in cuticle composition,identification and expression analysis of *** cuticular proteins may clarify the mechanisms involved in parasite development *** found 70 cuticular proteins from the *** transcrip-tome and divided them into seven distinct *** profiling indicated that most of these cuticular protein genes have expression peaks specific for one particular developmental stage of *** and pupae have the highest number of tran-scriptionally active cuticular protein genes(47 and 52 respectively).Only 12 of these genes maintained high expression activity during late larval *** analysis of two larval proteins,MmCPR3 and MmCPR 14,suggested their important role in the proper organization of the cuticle layers of *** *** larval development,normal cuticle formation can be supported by a limited number of cuticular proteins.

关键词： cuticular protein expression pattern Microplis mediator transcriptome