School of Advanced Technology

School of Advanced Technology
Xi'an Jiaotong-Liverpool University
111 Ren'ai Road Suzhou Dushu Lake Science and Education Innovation District , Suzhou Industrial Park
Suzhou,Jiangsu Province,P. R. China,215123
41. Segregated Lightweight Dynamic Rate (SLDR) control scheme for efficient internet communications

Author:Ting,T. O.;Ting,H. C.;Lee,Sanghyuk

Source:Lecture Notes in Electrical Engineering,2013,Vol.235 LNEE

Abstract:This paper proposes an effective Segregated Lightweight Dynamic Rate Control Scheme (SLDRCS) over the internet. Based on the feedback analysis of the current approaches, we found that the indicator of the congestion is only the queue length. It only captures a partial indicator of delay and loss in feedback mechanism. This may result in an ineffective way in controlling the network when congestion control occurs. Therefore, we suggest multiple congestion indicators to adapt inside this scheme to fully control the average delay and loss from bidirectional of sender to receiver. The behavior of next event packet being control using discrete event simulation tool with First Come First Serve (FCFS) scheduling policy and we code this algorithm into C programming language. Through the simulation results, our Segregated Lightweight Dynamic Rate Control Scheme (SLDRCS) guaranteed high improvement in packet drop and average delay under various congestion level and traffic load conditions compare with the current approach. © 2013 Springer Science+Business Media Dordrecht.
42. VirusBoxing: A HIIT-based VR boxing game

Author:Xu,Wenge;Liang,Hai Ning;Ma,Xiaoyue;Li,Xiang

Source:CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play,2020,Vol.

Abstract:© 2020 ACM. Physical activity or exercise can improve people's health and reduce their risk of developing several diseases; most importantly, regular activity can improve the quality of life. However, lack of time is one of the major barriers for people doing exercise. High-intensity interval training (HIIT) can reduce the time required for a healthy exercise regime but also bring similar benefits of regular exercise. We present a boxing-based VR exergame called VirusBoxing to promote physical activity for players. VirusBoxing provides players with a platform for HIIT and empowers them with additional abilities to jab a distant object without the need to aim at it precisely. In this paper, we discuss how we adapted the HIIT protocol and gameplay features to empower players in a VR exergame to give players an efficient, effective, and enjoyable exercise experience.
43. One-class kernel subspace ensemble for medical image classification (vol 2014, 17, 2014)

Author:Zhang, YG;Zhang, BL;Coenen, F;Xiao, JM;Lu, WJ


44. Effective Piecewise CNN with attention mechanism for distant supervision on relation extraction task

Author:Li, Yuming ; Ni, Pin ; Li, Gangmin ; Chang, Victor

Source:COMPLEXIS 2020 - Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk,2020,Vol.

Abstract:Relation Extraction is an important sub-task in the field of information extraction. Its goal is to identify entities from text and extract semantic relationships between entities. However, the current Relationship Extraction task based on deep learning methods generally have practical problems such as insufficient amount of manually labeled data, so training under weak supervision has become a big challenge. Distant Supervision is a novel idea that can automatically annotate a large number of unlabeled data based on a small amount of labeled data. Based on this idea, this paper proposes a method combining the Piecewise Convolutional Neural Networks and Attention mechanism for automatically annotating the data of Relation Extraction task. The experiments proved that the proposed method achieved the highest precision is 76.24%% on NYT-FB (New York Times-Freebase) dataset (top 100 relation categories). The results show that the proposed method performed better than CNN-based models in most cases. © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
45. Hydrogen Consumption Minimization for Fuel Cell Trains Based on Speed Trajectory Optimization

Author:Huang, Zheng ; Wu, Chaoxian ; Lu, Shaofeng ; Xue, Fei

Source:Lecture Notes in Electrical Engineering,2020,Vol.638

Abstract:To make rail transport much greener, the fuel cell system has been applied in some train vehicles. The paper is aimed at establishing an integrated mixed-integer linear programming (MILP) model to optimize operations of the trains with the fuel cell system. Train motion analysis and physical constraints setup are given to illustrate the model. The main power-efficiency characteristic of the fuel cell system is also modeled in the research. The optimal train speed trajectory is obtained by applying the proposed approach, where the hydrogen consumption of the fuel cell is minimized. To prove the robustness of the model, the power profiles of scenarios with normal and extreme power-efficiency characteristics are compared, and the results show influences of these characteristics on the train operations. © Springer Nature Singapore Pte Ltd. 2020.
46. Emerging research on swarm intelligence and algorithm optimization

Author:Shi, Yuhui

Source:Emerging Research on Swarm Intelligence and Algorithm Optimization,2014,Vol.

Abstract:Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists. © 2015 by IGI Global. All rights reserved.
47. Directional Motion-based Interfaces for Virtual and Augmented Reality Head-mounted Displays


Source:Proceedings of 2018 International Computers, Signals and Systems Conference, ICOMSSC 2018,2018,Vol.

Abstract:This research, conducts an experiment to investigate whether there is a difference in user performance and preference for two types of head-mounted displays (HMDs) when users need to perform directional motion movements such as moving one foot forward and backward (or leftward or rightward). The two types of HMDs we have considered are virtual reality (VR) and augmented reality (AR), which represent the two most commonly marketed HMDs. The AR device chosen for this research is the Meta 2 while the chosen VR device is the Oculus RIFT CV1. The results of our experiment show that there is a close significant difference on task completion time between AR and VR condition when users perform motion direction tasks. Also, no significant effect has been found on the accuracy of making these motion movements between the AR and VR conditions. In terms of user preference, the results show that there is no significant effect on workload, motion sickness, immersion, and user experience. These results suggest that both AR and VR HMDs are suitable for interfaces that can rely on body motions like tapping on the floor using one foot in any of the directions around the user.
48. The Design of Bus Accessing Timing to NAND Flash Array for High Bandwidth

Author:Cheng, LX;Yang, Y;Liu, YY;Seon, JK;Man, KL


Abstract:To improve the reading and writing speed of NAND flash array with multi-channel and multi-way, and to obtain the highest available bandwidth, an approach is presented in this paper. One mechanism of high efficiency bus accessing timing scheme based on interleaving is introduced into the approach. In pursuance of this timing, flash controllers are able to make every plane in the flash array to be active in parallel. Therefore the transmission ability to and from the bus can be greatly improved. Utilizing this approach, the accessing efficiency to the NAND flash array will be pushed to a very high level. According to the testing results, as opposed to normal flash bus timing scheme, the data reading efficiency can be increased by 68.5%%, and the data writing efficiency can be increased by 457%%, with the flash bus timing scheme presented in this paper being used. The conclusion can be drawn that the flash bus timing scheme presented in this paper is effective, and the reading and writing at very high speed to the NAND flash array can be realized.
49. Perturbation modelling of a corner deleted circular polarised microstrip antenna with offset feed

Author:Lim,Eng Gee;Huang,Yi;Liau,Vui Kien

Source:2010 WRI International Conference on Communications and Mobile Computing, CMC 2010,2010,Vol.2

Abstract:A perturbation model with a single-offset microstrip feed is used in the design of a corner-deleted square patch microstrip antenna. It is shown that the use of the offset-feedsignificantly increases the size of the deleted segments and thus relaxing the fabrication tolerance. © 2010 IEEE.

Author:Ma, JM;Man, KL;Krilavicius, T;Guan, SU;Jeong, T


Abstract:Estimating arithmetic is a design paradigm for DSP hardware. By allowing structurally incomplete arithmetic circuits to occasionally perform imprecise calculations, higher performance can be achieved in many different electronic systems. This paper presents a potential useful approach to implement tree multipliers by using estimating arithmetic. Experimental results show the applicability and effectiveness of the proposed approach.
51. Effect of Annealing Temperature for Ni/AlOx/Pt RRAM Devices Fabricated with Solution-Based Dielectric

Author:Shen, ZJ;Qi, YF;Mitrovic, IZ;Zhao, CZ;Hall, S;Yang, L;Luo, T;Huang, YB;Zhao, C


Abstract:Resistive random access memory (RRAM) devices with Ni/AlOx/Pt-structure were manufactured by deposition of a solution-based aluminum oxide (AlOx) dielectric layer which was subsequently annealed at temperatures from 200 degrees C to 300 degrees C, in increments of 25 degrees C. The devices displayed typical bipolar resistive switching characteristics. Investigations were carried out on the effect of different annealing temperatures for associated RRAM devices to show that performance was correlated with changes of hydroxyl group concentration in the AlOx thin films. The annealing temperature of 250 degrees C was found to be optimal for the dielectric layer, exhibiting superior performance of the RRAM devices with the lowest operation voltage (<1.5 V), the highest ON/OFF ratio (>10(4)), the narrowest resistance distribution, the longest retention time (>10(4) s) and the most endurance cycles (>150).
52. Measurement of PSO Diversity Based on L1 Norm

Author:CHENG Shi;SHI Yuhui

Source:Computer Science,2011,Vol.38

Abstract:A novel PSO population diversity based on norm was defined,which provides useful information of PSO search process.Population diversity based on and norms were analyzed as well as element-wised and dimension-wised PSO diversity.Population diversities of PSO with different number of dimensions,different topology structure,and different population sizes were discussed and tested on benchmark functions
53. IEEE Access Special Section: Emerging Technologies for Energy Internet

Author:Wen, HQ;Liang, YC;Mitrovic, IZ;Li, DP;Tayahi, M;Lu, F;Ye, XM

Source:IEEE ACCESS,2020,Vol.8

Abstract:Renewable energy sources such as photovoltaic (PV), wind, tidal, and ocean waves have increasingly penetrated the global production of energy. Energy Internet has been widely regarded as one of the promising solutions for the serious energy crisis and environmental pollution problem. Unlike the conventional centralized power generation structure, energy Internet widely utilizes different types of distributed generations (DGs), which are located closer to the user and generate electric power within distributed networks. Modular energy storage devices (ESDs) such as batteries for electric vehicles can effectively complement the function of DGs through bidirectional plug-and-play power interfaces. Thus, energy Internet has the ability to minimize power loss, enhance power quality, and improve system reliability.
54. 基于面板数据的开放式基金费用率的实证研究


Source:Economic Review,2011,Vol.

55. New Cancer Treatment Evaluation through Big Data Analytics

Author:Li, GM;Gu, JZ;Bai, XM


Abstract:Cancer plays a leading role in causing morbidity and mortality worldwide. Several treatments have been developed and practiced for fighting against cancer. Totally Implantable Venous Access Port Drug Supply (TIVAPDS) treatment is a new method utilizing Totally Implantable Venous Access Port (TIVAP) delivery method, which is one kind of Intrathecal Drug Delivery System (IDD) with lower side effects, to increase patient's quality of life. This paper reports our study aiming to evaluate the effectiveness of TIVAPDS treatment in order to make contributions to generalize this treatment in China. Our data samples come from The Second Affiliated Hospital of Suzhou University, a forerunner of TIVAPDS practices in China and with patients' agreement. The data statistics summary results and the relationships between each two identified attributes are analyzed. Based on the results, 2 predictive models utilizing C4.5 decision tree and logistic regression algorithms are adopted for prediction. The results are used as reference to assess individual treatment cases, so that the effectiveness of the treatment can be achieved and if possible, to improve the efficiency of TIVAPDS treatment.
56. Driving Posture Recognition by a Hierarchal Classification System with Multiple Features

Author:Yan, C;Zhang, BL;Coenen, F


Abstract:This paper presents a novel system for vision-based driving posture recognition. The driving posture dataset was prepared by a side-mounted camera looking at a driver's left profile. After pre-processing for illumination variations, eight action classes of constitutive components of the driving activities were segmented, including normal driving, operating a cell phone, eating and smoking. A global grid-based representation for the action sequence was emphasized, which featured two consecutive steps. Step 1 generates a motion descriptive shape based on a motion frequency image(MFI), and step 2 applies the pyramid histogram of oriented gradients (PHOG) for more discriminating characterization. A three level hierarchal classification system is designed to overcome the difficulties of some overlapping classes. Four commonly applied classifiers, including k-nearest neighbor(KNN), random forest (RF), support vector machine(SVM) and multiple layer perceptron (MLP), are evaluated in each level. The overall classification accuracy is over 87.2%% for the eight classes of driving actions by the proposed classification system.
57. An exploration of techniques for off-screen content interaction in mobile devices

Author:Shen, T;Liang, HN;Liu, D;Man, KL


Abstract:This paper is an attempt to explore new ways for allowing interaction with mobile devices, such as smartphones and tablets. Mobile devices have become very popular in a relatively short time. Their popularity is mainly due to the portability and until very recently their ease-of-interaction through the touch-enabled screen when compared to older devices. Their portability comes with a trade-off: the small screen through which users can interact with their content. The small size screen can limit significantly the amount of content they can interact with, and also the manner in which this interaction is carried out. In this research, we explore the ways of extending the interaction space of these devices. We assess if, how well, and what mechanisms are possible for enabling users to interact with content located off the screen. In this paper, we report our approach and some early results of experiments we have conducted.
58. Subcellular phenotype images classification by MLP ensembles with random linear oracle

Author:Zhang, Bai-Ling ; Han, Guoxia

Source:5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011,2011,Vol.

Abstract:Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization can be used for establishing knowledge of the spatial distribution of proteins within living cells and permits to screen systems for drug discovery or for early diagnosis of a disease. In this paper, we investigate an approach based on augmented image features by incorporating curvelet transform and neural network (MLP) ensemble for classification. A simple Random Subspace (RS) ensemble offers satisfactory performance, which contains a set of base MLP classifiers trained with subsets of attributes randomly drawn from the combined features of curvelet coefficients and original Subcellular Location Features (SLF). An MLP ensemble with Random Linear Oracle (RLO) can further improve the performance by replacing a base classifier with a "miniensemble", which consists of a pair of base classifiers and a fixed, randomly created oracle that selects between them. With the benchmarking 2D HeLa images, our experiments show the effectiveness of the proposed approach. The RS-MLP ensemble offers the classification rate 95%% while the RS-RLO ensemble gives 95.7%% accuracy, which compares sharply with the previously published benchmarking result 84%%. © 2011 IEEE.
59. Modeling and Simulation of Energy Control Strategies in AC Microgrid

Author:Wen, HQ;Yang, RZ


Abstract:Microgrid is an intelligent power system wh ich contains distributed generations, energy storages, local loads, monitoring and protecting units to realize autonomous control, protect and manage functions. It's regarded as the trend for the future power system since it satisfies the rapidly-developing electrical power demand and reduces environmental concerns. Considering different operation modes of Microgrid such as grid-connected and stand-alone, the control strategies need be automatically adjusted with support from Grid, battery or Fuel Cells. In this paper, a Microgrid is buHt and simulated in PSCAD, including PV, wind power, Fuel Cell, lead acid battery, and microturbine. Both component and system level models are verified tor different scenarios with appropriate control strategies. Main results are illustrated in order to show the efTectiveness of the control strategy tor different modes.
60. Healthcare design patterns -An internet of things approach


Source:Proceedings of the 32nd International Conference on Computers and Their Applications, CATA 2017,2017,Vol.

Abstract:The emerging Internet of Things (IoT) paradigm offers great promise for creating a global Internetbased architecture connecting humans, autonomous mobile devices, sensor networks, medical devices, and cloud computing to provide context-Aware solutions to public health whenever and wherever healthcare services are demanded. Two of the main critical areas of significance in such Healthcare IoT (HIoT) are Inhouse healthcare management for elderly people and healthcare provision in remote areas where hospital facilities do not exist. From software engineering principles for constructing a trustworthy HIoT, it is essential that the "things" in the system are dependable and reusable and the design remains extendable. This in turn will maximize the quality of service and minimize the cost of service provisioning. Motivated by this vision, this paper investigates the notion of Healthcare Design Pattern(HDP) and explains how the HDPs can be the building blocks for cyber-enabled healthcare solutions in HIoT. Three specific examples of HDPs for In-house healthcare solutions are described.
Total 2,057 results found
Copyright 2006-2020 © Xi'an Jiaotong-Liverpool University 苏ICP备07016150号-1 京公网安备 11010102002019号