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1.Performance Evaluation of Busbar Protection Schemes under Different Fault Scenarios

Author:Xu, X;Li, H;Wen, H

Source:2015 9TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ECCE ASIA (ICPE-ECCE ASIA),2015,Vol.

Abstract:Busbar plays an important role in the transmission and distribution network of the electrical power system, and busbar protection is also an indispensable part of the relaying protection. This digest will focus on studying the property of the busbar protection. The basic analyzing approaches are explained and the performance of busbar protection is discussed by the simulation and calculation results. Three fault scenarios are analyzed through the software of PSCAD and MATLAB. The corresponding protective action of different zones in the double busbar system is derived. Simulation results show that the relay can make right decision for different fault scenarios.

2.Research on the Method of Using the PRISM Model to Improve the Estimated Time of the Project

Author:Zhang, J;Li, CY;Liu, L;Hu, YF;Gao, YH;Zheng, K;Huang, X

Source:2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018),2018,Vol.

Abstract:This article focuses on PRISM, which is a tool developed by the University of Birmingham to analyze probabilistic systems. Through analyzing the mathematical model of estimating the project's expected time using the PERT/CPM network, this paper uses the PRISM method to optimize it, making the whole estimation process more comprehensive and stable, while ensuring the correctness of the final result. After a brief introduction to these two methods, a thorough analysis of the model including the relevant code will be described in detail. Although there are some limitations in the completion probability of the project, this paper generally proves the effectiveness of the PRISM probability model in calculating the expected time of large projects.

3.A Novel PV Faults Diagnosis Method based on the Structure of Differential Power Processing

Author:Li, XS;Wen, HQ;Chu, GY;Ye, ZY

Source:2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA),2017,Vol.2017-January

Abstract:This paper proposed a novel PV faults diagnosis method, which is based on the structure of differential power processing (DPP). Since the conventional PV faults diagnosis methods are very easily affected by the working environment conditions, such as solar irradiance and temperature. Compared to the conventional methods, this method is able to diagnose several PV modules at the same time. Furthermore, this method will not be affected by the changes of environment conditions. Finally, the simulation and experimental results will validate the claimed advantages of the proposed PV faults diagnosis method.

4.Expanding roles for immune adaptors in regulation of pro-inflammatory signaling in macrophages

Author:Yang, N

Source:EUROPEAN JOURNAL OF IMMUNOLOGY,2019,Vol.49

5.PRUNING PHANTOM DETECTIONS FROM MULTIVIEW FOREGROUND INTERSECTION

Author:Ren, J;Xu, M;Smith, JS

Source:2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012),2012,Vol.

Abstract:Homography mapping and fusion of foreground regions from multiple camera views is an effective technique for moving object detection. However, the intersections of non-corresponding foreground regions frequently cause phantom detections. In this paper, an algorithm using colour template matching is proposed to identify such phantoms from the multiview foreground intersection. Experiments on real-world video sequences have been carried out.

6.Analysis of a new dimension-wise splitting iteration with selective relaxation for saddle point problems

Author:Gander, MJ;Niu, Q;Xu, YX

Source:BIT NUMERICAL MATHEMATICS,2016,Vol.56

Abstract:We propose a new dimension-wise splitting with selective relaxation (DSSR) method for saddle point systems arising from the discretization of the incompressible Navier-Stokes equations. Using Fourier analysis, we determine the optimal choice of the relaxation parameter that leads to the best performance of the iterative method for the Stokes and the steady Oseen equations. We also explore numerically the influence of boundary conditions on the optimal choice of the parameter, the use of inner and outer iterations, and the performance for a lid driven cavity flow.

7.A Reliability Assessment of Submodule-level Distributed Power Electronic Solution in Photovoltaic Generation System

Author:Chu, GY;Wen, HQ

Source:2020 IEEE 9TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC2020-ECCE ASIA),2020,Vol.

Abstract:Differential power processing (DPP) is a promising architecture to solve the issue caused by mismatches among PV submodules. With widely-researched of DPP architectures in the photovoltaic generation system (PGS), their reliability is being studied extensively. This paper presents a comparison of the reliability between PV-to-bus (PV-bus) and PV-to-isolated port bus (PV-IP) architecture. This work uses the Markov model to compare the long-term steady-state availability of PV-bus and PV-IP architectures. The mathematical model will be used to analyze the long-term availability of these two DPP architectures. The power distribution in these two architectures under different partial shading conditions (PSCs) will be considered as an important factor to affect the reliability of the system.

8.Correlating Gainers' Brainwaves to their Subjective Feelings in Virtual Reality Games under Different Viewing Perspectives

Author:Monteiro, D;Liang, HN;Baghaei, N

Source:PROCEEDINGS OF THE 16TH ACM SIGGRAPH INTERNATIONAL CONFERENCE ON VIRTUAL-REALITY CONTINUUM AND ITS APPLICATIONS IN INDUSTRY (VRCAI 2018),2018,Vol.

Abstract:Consumer virtual reality (VR) is a relatively new mass technology that needs to be explored further so we can understand how it affects players from a psychophysiological perspective and how it differs from a common display during gameplay. One aspect of VR gameplay that is particularly underexplored when it comes to psychophysiological data is viewing perspective. This research aims to assess and analyse how players' brainwaves correlate to their subjective feelings when playing in first-person and third person viewing perspectives in VR. We report the fuldings of an experiment in which participants play a game in VR under first and third-person perspectives and have their EEG data recorded. Our findings indicate that some waves correlate to subjective feelings regardless of viewing perspective, whereas others are more reliant on which perspective the garners are playing in (e.g. Alpha). The results of this research are applicable to the design of VR games, especially those aimed at improving players' health.

9.Smart Survey Tool: A Multi Device Platform for Museum Visitor Tracking and Tracking Data Visualization

Author:Craig, P;Wang, YW;Kim, JS;Chen, G;Liu, Y;Li, JB;Gao, ZQ;Du, G

Source:2019 IEEE PACIFIC VISUALIZATION SYMPOSIUM (PACIFICVIS 2019),2019,Vol.2019-April

Abstract:This paper describes the Smart Survey Tool, a novel multi-device application for museum visitor tracking and tracking data visualization. The application allows museum staff to capture detailed information describing how visitors move around an exhibition and interact with individual exhibits. They can then visualize the results of tracking either on a single mobile device or with multiple mobile devices connected to a large display. The platform uses orthogonal views of the exhibition space for tracking and visualization, with a chess-piece icon to represent visitors during tracking, and curved semi-transparent lines with animated semi-circles to communicate the path and direction of visitor movement. Our visualization is novel in its use of an orthogonal projection for pedestrian tracking and animation to communicate the flow of visitors around the exhibition space, as well as allowing users to dynamically switch between views representing different groups of visitors. The design of our application was informed through an extensive requirements analysis study conducted with Nanjing Museum and evaluated by conducting expert interviews with museum managers who considered that the application allowed for more effective and efficient recording and analysis of visitor tracking data.

10.A Selection of Advanced Technologies for Demand Forecasting in the Retail Industry

Author:Wang, JX;Liu, GQ;Liu, L

Source:2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019),2019,Vol.

Abstract:Retail companies always attempt to find a forecasting method to balance their purchasing and sales, whereas the performances of various prediction techniques are still not reliable. Furthermore, it is a question that how to select the proper forecasting model for some specific type of products. In this research, the classical forecasting models and the latest developing forecasting technologies are compared together based on the perishable products and non-perishable items respectively. The process is designed to compare the performance of typical statistic methods with several machine learning methods based on the thousands of historical transaction record of a large grocery retailer. The criterion is also explored in this study include predictive performance, generalization ability, runtime, cost and convenience to evaluate the comprehensive performance of these models, thus companies can easily choose their most accepted model.

11.Sustainability analysis of functionally graded concrete produced with fibres and recycled aggregates

Author:Chan, R;Hu, T;Liu, X;Galobardes, I;Moy, CKS;Hao, JL;Krabbenhoft, K

Source:SUSTAINABLE BUILDINGS AND STRUCTURES: BUILDING A SUSTAINABLE TOMORROW,2020,Vol.

Abstract:Fibre reinforced concrete is widely used in the pavement construction despite presenting some economic and environmental issues. To address these matters, the concept of functionally graded material (FGM) concept with materials that present changeable properties over its volume is adopted on concrete, generating functionally graded concrete (FGC). To understand these new composite materials more studies are needed. In this study, eight mixes of FGC concretes were produced to assess the effect of the recycled aggregate and different depths of the fibre reinforced layer on the flexural performance. Besides, a simplified sustainability analysis was performed to assess the goodness of these special concretes. The experimental results indicate that the FGC studied could be used in structural applications requiring lower loading capacity. The sustainability analysis indicates that a cut in the total volume of steel fibres and the use of recycled aggregates would enhance the benefits of the FGC.

12.An investigation of the use of robots in public spaces

Author:Zhang, GD;Liang, HN;Yue, Y

Source:2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER),2015,Vol.

Abstract:This project explores the use of robots in public spaces, such as shopping malls, parks, hospitals and universities. The project is situated in the fast growing area of human -robot interaction in the broad sense, and, more specifically, in the context of social robots. We seek to understand the social acceptability of robots and how we can make robots fit into public spaces. In this research, we have conducted two studies using different data collection methods, and targeting two different populations. The results of our studies show that in general flying drones are perceived in a positive way by people. People suggested that they would be comfortable having them around if the flying drones have strong safety mechanisms and any personal data captured is protected by an official, government based agency. We believe that given their positive responses, flying robots can be suitably integrated in open public areas.

13.The New Wrappable Wireless Capsule Antennas

Author:Lim, EG;Wang, Z;Xia, TQ;Leach, M;Man, KL

Source:2014 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC),2014,Vol.

Abstract:A general introduction to wireless capsule endoscopy (WCE) and WCE antennas are firstly presented. The most important part of this paper lies in the investigation of the inductively loaded wrappable patch antenna. The original design is 18.5 mm in width and 31 mm in the length. The substrate material is LCP and the antenna radiates at 433 MHZ. In total 39 pairs of notches are averagely subtracted from the patch. Software-based simulation and optimization is performed in accordance with Rogers Duroid 5870 as a substrate material. The 5870-based study model is focused on theoretically exploring the properties of the structure. Additionally, some innovative structures are designed, including a log-periodic structure and miniaturised antenna for WCE applications for children.

14.DEM: Direct Estimation Method for Photovoltaic Maximum Power Point Tracking

Author:Ma, JM;Man, KL;Ting, TO;Zhang, N;Guan, SU;Wong, PWH

Source:FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT,2013,Vol.17

Abstract:Since the electrical characteristics of a Photovoltaic (PV) Module vary with the changing atmospheric conditions, researchers have shown an increasing interest in Maximum Power Point Tracking (MPPT) approaches. This paper presents a direct Maximum Power Point (MPP) estimation method derived from the mathematical expressions of the Current-Voltage (I-V) characteristics of a PV module. Simulation results demonstrate that the proposed approach is sufficiently accurate for practical applications. (C) 2013 The Authors. Published by Elsevier B.V.

15.Cellular automata in architectural design: From generic systems to specific design tools

Author:Herr, CM;Ford, RC

Source:AUTOMATION IN CONSTRUCTION,2016,Vol.72

Abstract:In this paper we examine the adaptations cellular automata (CA) are typically subjected to when they are applied to architectural designing. We argue that, despite a number of earlier studies that portrayed CA as generic generative design tools, the transition from CA as generic systems to specific design tools for the purposes of design is not yet well understood. To describe this transition, we first examine CA adaptations in a number of previous studies relating CA to architectural design. We then analyze an applied design case study in detail and trace similarities between findings made in the literature review to findings made in the case study. We conclude with a summary of challenges and opportunities met by architectural designers employing and developing CA as design tools. (C) 2016 Elsevier B.V. All rights reserved.

16.An Experimental Study of MAF-SRF-PLL with Comb Compensator

Author:Xie, MX;Zhu, CY;He, LQ;Wen, HQ

Source:2017 THIRTY SECOND ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC),2017,Vol.0

Abstract:Synchronization control is of great importance for grid-connected power converters, therefore precise phase angle information of the grid voltage is essential. SRF-PLL aims to track the fundamental frequency positive sequence with zero steady state error. The moving average filter (MAF) is used to eliminate the disturbances of phase error, which is set in-loop of PLL in dq rotate frame. Due to additional time constant induced by MAF, the transient response of the MAF-SRF-PLL is slow. In this paper, a digital effective lead comb compensator cascaded with MAF is proposed to improve the dynamic response. The simulation by using Matlab/Simulink is made to verify the validity and effectiveness. Experiments results are also presented and the comparison with conventional MAF-SRF-PLL verified that the dynamic performance can be significantly improved.

17.A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems

Author:Li, XS;Went, HQ

Source:2016 IEEE 8TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC-ECCE ASIA),2016,Vol.

Abstract:This paper presents a fuzzy logic controller(FLC) for maximum power point tracking (MPPT) of Photovoltaic (PV) systems. Unlike the conventional FLC methods, which generally have two inputs parameters for the FLC, the proposed FLC method has three input parameters. An intermediate variable beta is integrated into the proposed FLC method, which can simplify the design of FLC. Moreover, converging speed and oscillation are further improved by the proposed method. A comparison between the proposed FLC and the conventional MPPT methods are conducted during varying solar irradiation levels. Simulation and experimentation results are provided to demonstrates the validity of the proposed FLC.

18.Kalman Filter Based Time Series Prediction of Cake Factory Daily Sale

Author:Wu, JX;Fang, Q;Xu, YY;Su, JL;Ma, F

Source:2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI),2017,Vol.2018-January

Abstract:Accurate prediction of future daily sales is a crucial step towards optimal management of daily production of a cake factory. In this study, an interacting multiple model integrated kalman filter was used to predict the future daily sales of cake products. Two years daily sale history of 108 cake products were used to train and test the proposed method. Our experiments show that 1) running interacting multiple models of different orders in parallel is more effective than single classical interacting multiple model; 2) when only daily sale data was used, the proposed method predicted 33.54%% of sales within +/- 10%% of true sales; 3) when more variables, including festival and weekend, were combined into the prediction, 34.38%% of predicted sales were within +/- 10%% of true sales.

19.Network-wide Timetabling for Urban Railway Network based on Complex Network Theory: A Beijing Subway Case Study

Author:Zhu, K;Wu, CX;Xue, F;Yang, J;Lu, SF

Source:PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE,2020,Vol.2020-July

Abstract:Urban railway timetable optimization has been widely studied, and most previous studies were focused on one or a few lines to increase network capacity and energy efficiency etc. In this paper, a network-wide timetable optimization is proposed based on the complex network theory. A concept of "social resource consumption" (SRC) is proposed to denote the product of travel time and passenger number for one inter-station interval (the section between two adjacent stations), is proposed to define the total network efficiency of the entire rail transit network. Lower SRC generally implies that network delivers more passenger with less time in each inter-station interval. In the proposed optimization model, the product of estimated passenger number and edge betweenness centrality has a direct impact on the time allocation for each interstation interval, i.e. the higher product value, implying higher weighting on the interval, tends to have a lower time allocation subject to the line time constraints and inter-station time constraints. A case study of Beijing subway is conducted to optimize the network-wide timetable and investigate the affecting factors of SRC in the network.

20.Robust LMI-LQR Control for DAB Converters

Author:Xia, PZ;Wen, HQ;Shi, HC;Bu, QL

Source:2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES),2018,Vol.

Abstract:A consistent framework for robust linear quadratic regulators (LQRs) control of Dual-Active-Bridge Isolated-Bidirectional DC-DC (DAB-IBDC) converters is presented. The conventional LQR controllers are effective with respect to a certain performance index and have a good performance in stability. However, it cannot assure robust stability with high uncertainty. In this paper, after obtaining a convex model of DAB converter's dynamics that covers the uncertainty of parameters, the linear matrix inequalities (LMIs) are proposed to optimize the performance. Then, a new robust control method called LMI-LQR control for DAB converters is derived. The performance comparison with the conventional LQR is conducted. Finally, the performances of stability and dynamic respond are discussed for load perturbations of DAB converters.
Total 1,039 results found
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