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Log-behavior of Two Sequences Related to the Elliptic Integrals

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Acta Mathematicae Applicatae Sinica 2020年第3期36卷 590-602页

作者： Brian Yi SUN james Jing-yu ZHAO Department of Mathematics and System Science Xinjiang UniversityUrumqi 830046China School of Mathematics Tianjin UniversityTianjin 300350China

Two interesting sequences arose in the study of the series expansions of the complete elliptic integrals,which are called the Catalan-Larcombe-French sequence{Pn}n≥0 and the Fennessey-Larcombe-French sequence{Vn}n≥0 *** this paper,we first establish some criteria for determining log-behavior of a sequence based on its three-term *** we prove the log-convexity of{Vn^2-V(n-1)V(n+1)}n≥2 and{n!Vn}n≥1,the ratio log-concavity of{Pn}n≥0 and the sequence{An}n≥0 of Apéry numbers,and the ratio log-convexity of{Vn}n≥1.

关键词： the Catalan-Larcombe-French sequence the Fennessey-Larcombe-French sequence Apéry numbers log-concave log-convex three-term recurrence

Recurrences for Callan's Generalization of Narayana Polynomials

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Journal of Systems Science & Complexity 2022年第4期35卷 1573-1585页

作者： CHEN Xi YANG Arthur Li Bo ZHAO james Jing yu School of Mathematical Sciences Dalian University of TechnologyDalian116024China Center for Combinatorics LPMCNankai UniversityTianjin300071China School of Mathematics Tianjin UniversityTianjin300350China

By using Chen,Hou and Mu’s extended Zeilberger algorithm,the authors obtain two recurrence relations for Callan’s generalization of Narayana *** on these recurrence relations,the authors further prove the real-roote... 详细信息

关键词： Asymptotic normality Callan’s Narayana polynomials central limit theorem local limit theorem real zeros

Prediction of office building electricity demand using artificial neural network by splitting the time horizon for different occupancy rates

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能源与人工智能(英文) 2021年第3期5卷 159-170页

作者： Si Chen Yaxing Ren Daniel Friedrich Zhibin yu james yu james Watt School of Engineering the University of GlasgowGlasgow G128QQUK School of Engineering The University of EdinburghEdinburgh EH93FBUK SP Distribution PLC Glasgow G720HTUK

Due to the impact of occupants’activities in buildings,the relationship between electricity demand and ambient temperature will show different trends in the long-term and short-term,which show seasonal variation and hourly variation,*** makes it difficult for conventional data fitting methods to accurately predict the long-term and short-term power demand of buildings at the same *** order to solve this problem,this paper proposes two approaches for fitting and predicting the electricity demand of office *** first proposed approach splits the electricity demand data into fixed time periods,containing working hours and non-working hours,to reduce the impact of occupants’*** finding the most sensitive weather variable to non-working hour electricity demand,the building baseload and occupant activities can be predicted *** second proposed approach uses the artificial neural network(ANN)and fuzzy logic techniques to fit the building baseload,peak load,and occupancy rate with multi-variables of weather *** this approach,the power demand data is split into a narrower time range as no-occupancy hours,full-occupancy hours,and fuzzy hours between them,in which the occupancy rate is varying depending on the time and weather *** proposed approaches are verified by the real data from the University of Glasgow as a case *** simulation results show that,compared with the traditional ANN method,both proposed approaches have less root-mean-square-error(RMSE)in predicting electricity *** addition,the proposed working and non-working hour based regression approach reduces the average RMSE by 35%,while the ANN with fuzzy hours based approach reduces the average RMSE by 42%,comparing with the traditional power demand prediction *** addition,the second proposed approach can provide more information for building energy management,including the predicted baseload,peak load,and occupancy rate,without r

关键词： Building energy Electricity demand prediction Statistical modelling Artificial neural network Occupancy rate

Sensitivity analysis to reduce duplicated features in ANN training for district heat demand prediction

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能源与人工智能(英文) 2020年第2期2卷 63-73页

作者： Si Chen Yaxing Ren Daniel Friedrich Zhibin yu james yu james Watt School of Engineering The University of GlasgowGlasgow G128QQUK School of Engineering The University of EdinburghEdinburgh EH93FBUK SP Distribution PLC Glasgow G720HTUK

Artificial neural network(ANN)has become an important method to model the nonlinear relationships between weather conditions,building characteristics and its heat *** to the large amount of training data re-quired for ANN training,data reduction and feature selection are important to simplify the ***,in building heat demand prediction,many weather-related input variables contain duplicated *** paper develops a sensitivity analysis approach to analyse the correlation between input variables and to detect the variables that have high importance but contain duplicated *** proposed approach is validated in a case study that predicts the heat demand of a district heating network containing tens of buildings at a university *** results show that the proposed approach detected and removed several unnecessary input variables and helped the ANN model to reduce approximately 20%training time compared with the traditional methods while maintaining the prediction *** indicates that the approach can be applied for analysing large num-ber of input variables to help improving the training efficiency of ANN in district heat demand prediction and other applications.

关键词： Building heat demand prediction Statistical modelling Artificial neural network Sensitivity analysis Feature selection

Deployment and demonstration of wide area monitoring system in power system of Great Britain

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Journal of Modern Power Systems and Clean Energy 2016年第3期4卷 506-518页

作者： Peter WALL Papiya DATTARAY Zhaoyang JIN Priyanka MOHAPATRA james yu Douglas WILSON Karine HAY Stuart CLARK Mark OSBORNE Phillip M.ASHTON Vladimir TERZIJA Department of Electrical and Electronic Engineering The University of ManchesterManchester M139PLUK SP Energy Networks Ochil HouseHamilton International ParkBlantyre G720HTUK GE Grid Solutions 1 TanfieldEdinburgh EH35DAUK National Grid 1-3 StrandLondon WC2N 5EHUK

The creation of a suitable wide area monitoring system(WAMS) is widely recognized as an essential aspect of delivering a power system that will be secure,efficient and sustainable for the foreseeable future. In Great Britain(GB), the deployment of the first WAMS to monitor the entire power system in real time was the responsibility of the visualization of real time system dynamics using enhanced monitoring(VISOR) project. The core scope of the VISOR project is to deploy this WAMS and demonstrate how WAMS applications can in the near term provide system operators and planners with clear, actionable information. This paper presents the wider scope of the VISOR project and the GB wide WAMS that has been deployed. Furthermore, the paper describes some of the WAMS applications that have been deployed and provides examples of the measurement device performance issues that have been encountered during the project.

关键词： Model validation Line parameter estimation Subsynchronous oscillation Subsynchronous resonance synchronized measurement technology Wide area monitoring

Analysis and Control of MVDC Demonstration Project in the UK:ANGLE-DC

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供用电 2020年第10期37卷 44-50页

作者： Gayan ABEYNAYAKE james yu Andrew MOON Jun LIANG Cardiff University School of EngineeringCardiffUnited KingdomCF243AA SP Energy Networks GlasgowScotlandUnited KingdomG720HT

The emerging medium voltage direct current(MVDC)distribution networks are becoming more attractive due to their flexible power flow control and lower losses compared to traditional AC *** will significantly increase the wide uptake of renewable energy *** optimum utilization of the existing assets is an important aspect in grid upgrading and *** feasible option is to convert existing MVAC lines into MVDC *** of the practical demonstrations is the“ANGLE-DC”project which is also the first MVDC link in the *** paper highlights the innovative approach,challenges and key benefits delivered by the ANGLE-DC project.

关键词： medium voltage direct current(MVDC) MVDC converters operational challenges distribution network flexible power flow control

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詹姆斯的风光摄影笔记

作者： (澳)james Zhen yu

来源：南通市图书馆图书评论

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詹姆斯的风光摄影笔记

作者： (澳)james Zhen yu

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富血小板血浆注射：慢性盘源性腰痛的新疗法

中国疼痛医学杂志 2019年第10期25卷 721-724页

作者： Suja Mohammed james yu 汤洋万丽广州医科大学附属第二医院疼痛科

研究表明,自体富血小板血浆(platelet-rich Plasma, PRP)注射是治疗包括退行性腰椎间盘疾病在内的多种肌肉骨骼疾病的一种新方法。虽然医师越来越关注PRP,但其临床疗效只有对膝骨性关节炎和肱骨上髁炎的报道。尽管PRP在退行性椎间盘疾... 详细信息

研究表明,自体富血小板血浆(platelet-rich Plasma, PRP)注射是治疗包括退行性腰椎间盘疾病在内的多种肌肉骨骼疾病的一种新方法。虽然医师越来越关注PRP,但其临床疗效只有对膝骨性关节炎和肱骨上髁炎的报道。尽管PRP在退行性椎间盘疾病中应用普遍,但仍然需要可靠的临床证据证明其实用性和有效性。该文回顾了现有PRP疗法的文献及其治疗慢性椎间盘源性腰痛(简称盘源性腰痛)的潜在用途,并重点关注其临床试验的证据。

关键词：盘源性腰痛膝骨性关节炎临床证据肌肉骨骼疾病富血小板血浆临床疗效潜在用途临床试验