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1.Exploring a curriculum app and a social communication app for EFL learning

Author:Zou, B;Li, H;Li, JY

Source:COMPUTER ASSISTED LANGUAGE LEARNING,2018,Vol.31

Abstract:Mobile apps are broadly used by students in and after class to improve their language skills. This study aimed to investigate how a curriculum app and a social communication app can be integrated into English language teaching and learning and what sorts of tasks can be employed to enhance learners' EFL learning. A curriculum app was created by the researchers and integrated into English teaching and learning in and out of class. Meanwhile, a social communication app used on mobile phones was also established for communication between students and the teacher. Questionnaires and interviews were conducted so as to explore students' perceptions of these apps. The findings indicated that mobile learning can be adapted in EFL lessons and learners' self-study. The apps providing sources connected to lessons and opportunities for communication offered additional support to students to practice English in and after class. Participants provided positive comments on the two apps for mobile learning.

2.Key management and key distribution for secure group communication in mobile and cloud network

Author:Vijayakumar, P;Chang, V;Deborah, LJ;Kshatriya, BSR

Source:FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2018,Vol.84

Abstract:With the computing systems becoming more and more pervasive and ubiquitous due to the invention of cloud computing and mobile phone based applications, secure data transmission is the pressing need for a real time perspective of the technologies. Examples of the need for secure key management and distribution environments include secure transmission of health related SMS, telecare medicine provisioning for critical applications such as heart disorders, secure agriculture monitoring, data transmission in surveillance scenarios, secure military networks, etc. In the context of key exchange for secure group communication, the computational complexities need to be addressed in particular due to the advent of resource constrained mobile phones, sensors and other embedded devices. This special issue introduces some of the novel approaches for enabling secure group communication in the contexts related to cloud and mobile computing. (C) 2018 Published by Elsevier B.V.

3.Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique

Author:Wajid, SK;Hussain, A;Huang, KZ

Source:EXPERT SYSTEMS WITH APPLICATIONS,2018,Vol.112

Abstract:In this paper, we present a novel feature extraction technique, termed Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH), and exploit it to detect breast cancer in volumetric medical images. The technique is incorporated as part of an intelligent expert system that can aid medical practitioners making diagnostic decisions. Analysis of volumetric images, slice by slice, is cumbersome and inefficient. Hence, 3D-LESH is designed to compute a histogram-based feature set from a local energy map, calculated using a phase congruency (PC) measure of volumetric Magnetic Resonance Imaging (MRI) scans in 3D space. 3D-LESH features are invariant to contrast intensity variations within different slices of the MRI scan and are thus suitable for medical image analysis. The contribution of this article is manifold. First, we formulate a novel 3D-LESH feature extraction technique for 3D medical images to analyse volumetric images. Further, the proposed 3D-LESH algorithmic, for the first time, applied to medical MRI images. The final contribution is the design of an intelligent clinical decision support system (CDSS) as a multi-stage approach, combining novel 3D-LESH feature extraction with machine learning classifiers, to detect cancer from breast MRI scans. The proposed system applies contrast-limited adaptive histogram equalisation (CLAHE) to the MRI images before extracting 3D-LESH features. Furthermore, a selected subset of these features is fed into a machine-learning classifier, namely, a support vector machine (SVM), an extreme learning machine (ELM) or an echo state network (ESN) classifier, to detect abnormalities and distinguish between different stages of abnormality. We demonstrate the performance of the proposed technique by its application to benchmark breast cancer MRI images. The results indicate high-performance accuracy of the proposed system (98%%+/- 0.0050, with an area under a receiver operating charactertistic curve value of 0.9900 +/- 0.0050) with multiple classifiers. When compared with the state-of-the-art wavelet-based feature extraction technique, statistical analysis provides conclusive evidence of the significance of our proposed 3D-LESH algorithm. (C) 2017 The Authors. Published by Elsevier Ltd.

4.Treatment for HIV prevention study in southwestern areas of China

Author:Chen, HH;Yang, XY;Zhu, QY;Wu, XH;Chen, L;Lu, HX;Luo, LH;Lan, GH;Ge, XM;Tang, ZZ;Shen, ZY;Pan, SW;Xing, H;Ruan, YH;Shao, YM;Yang, WM

Source:INFECTIOUS DISEASE MODELLING,2018,Vol.3

Abstract:Background: China has ambitious to achieve significant reductions in HIV transmission and HIV-related mortality by adopting the World Health Organization's "Treat All" approach. Such a prevention strategy is needed future study on regional scale. Methods: An observational cohort study of HIV epidemiology and treatment databases was used to study the effectiveness of antiretroviral therapy on the transmission of HIV in serodiscordant couples in Guangxi of China. Results: A total of 7713 couples were entered into the cohort study analysis which included 1885 couples in the treatment-naive cohort and 5828 couples in the treated cohort. During the follow-up of 18985.29 person-years from 2003 to 2014, the average incidence of HIV was 2.4 per 100 person-years (95%% CI 2.1-2.6). HIV seroincidence rate was significantly higher among the treatment naive group (4.2 per 100 person-years, 3.7-4.8) compared with the on treatment group (1.6 per 100 person-years, 1.3-1.8). An overall 45%% reduction in risk of HIV transmission among serodiscordant couple was associated with ART treatment (adjusted Hazard Ratio [HR] 0.55, 95%% Confidence Interval [CI] 0.44-0.69). Treatment prevention had significantly effectiveness for most baseline characteristics of index partners, such as for male, female, age above 25 years, education below high school, farmer, infected by heterosexual intercourse. Conclusion: Treatment-as-prevention can be implemented in the real-world on a national or regional scale, but ART adherence and comprehensive harm reduction while implementing this strategy require further study. (C) 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

5.The effects of the bioanode on the microbial community and element profile in paddy soil

Author:Williamson, G;Chen, Z

Source:ENVIRONMENTAL ARSENIC IN A CHANGING WORLD (AS2018),2018,Vol.

Abstract:In paddy soil the reductive dissolution of iron oxide and the availability of organic matter plays an important role in arsenic release under anaerobic conditions. Microbial fuel cells have been shown to reduce organic matter (OM) content and the rate in which this occurs strongly relate to the external resistance applied. In this study we investigated the effects of bioanode operating at different external resistance on the paddy soil microbial community and iron and arsenic concentration. The results show that MFC can be used to reduce soil pore water iron and arsenic concentration and the extent in which this occurs depend on the external resistance applied. The MFC is able to mitigate arsenic release by decreasing organic matter availability. Furthermore, our finding shows that external resistance had a significant influence on the bacterial community composition that develop on the bioanode however only had minimal effect on the community of the bulk soil. These findings suggest that the sMFC can influence the iron and arsenic concentration by reducing OM content and the microbial community that develop in the bioanode vicinity.

6.Automatic Building and Floor Classification using Two Consecutive Multi-layer Perceptron

Author:Cha, J;Lee, S;Kim, KS

Source:2018 18TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS),2018,Vol.2018-October

Abstract:Key issues of indoor localization is taking full advantages and overcoming its disadvantages. indoor localization based on Wi-Fi fingerprinting attracts researchers' attentions since it does not require new infrastructure and devices. Many devices such as smart phones and laptops, which have a function to capture Wi-Fi signals, can be used for Wi-Fi fingerprinting. However, due to unreliable Wi-Fi signals, there are still difficulty to achieve high positioning accuracy. The unreliable signal disturbs devices to find their locations. As a result, getting localization with devices sometimes makes a wrong decision in building classification. It is useless for people to find a destination floor if they are in different building. In this paper, we propose two consecutive multi-layer perceptrons to get more precise localization. With sumple structure, we get better performance and show precise decision results in building classification, which is critical in Wi-Fi fingerprinting. We use UJIndoorLoc dataset which is open dataset.

7.Big data analytics for sustainability

Author:Lv, ZH;Iqbal, R;Chang, V

Source:FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2018,Vol.86

Abstract:Sustainability is a paradigm for thinking about the future in which environmental, societal and economic considerations are equitable in the pursuit of an improved lifestyle. Most of the economies are developing with breakneck velocities and are becoming epicenters of unsustainable global growth. Immense utilization of natural resources, waste generation and ecological irresponsibility are the reasons for such a dire situation. Big data analytics is clearly on a penetrative path across all arenas that rely on technology. (C) 2018 Published by Elsevier B.V.

8.2nd International Workshop on Multimedia Privacy and Security

Author:Hallman, RA;Li, SJ;Chang, V

Source:PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18),2018,Vol.

9.学生成长与批判式思维——中外合作办学学生培养之道

Author:席酉民;

Source:China Scholars Abroad,2018,Vol.

Abstract:三个故事在谈学生的成长与批判(审辩)式思维前,与大家分享三个故事。故事一:前段时间有一个家长给我写信,说他的孩子花了一天时间,最后发现老师出的作业题错了。他说:"你们学校的老师怎么这么不负责?"我回答他,谁告诉你老师说的就是对的?老师就不可以犯错误吗?在西交利物浦大学,学生保持怀疑的态度,产生怀疑,然后去证实老师讲的内容正确与否。在这个过程中,学生得到的东西远远多于他通过听课、考试、

10.Polygonal rotopulsators of the curved n-body problem

Author:Tibboel, P

Source:JOURNAL OF MATHEMATICAL PHYSICS,2018,Vol.59

Abstract:We revisit polygonal positive elliptic rotopulsator solutions and polygonal negative elliptic rotopulsator solutions of the n-body problem in H-3 and S-3 and prove the existence of these solutions and prove that the masses of these rotopulsators have to be equal if the rotopulsators are of nonconstant size and show that the number of negative elliptic relative equilibria of this type is finite, as is the number of positive elliptic relative equilibria if an upper bound on the size of the relative equilibrium is imposed. Additionally, we prove that a class of negative hyperbolic rotopulsators is in fact a subclass of the class of polygonal negative elliptic rotopulsators. Published by AIP Publishing.

11.Editorial for the special issue on modern aspects of financial engineering

Author:Goncu, A

Source:CHINA FINANCE REVIEW INTERNATIONAL,2018,Vol.8

12.Privacy perception and protection on Chinese social media: a case study of WeChat

Author:Chen, ZT;Cheung, M

Source:ETHICS AND INFORMATION TECHNOLOGY,2018,Vol.20

Abstract:In this study, the under-examined area of privacy perception and protection on Chinese social media is investigated. The prevalence of digital technology shapes the social, political and cultural aspects of the lives of urban young adults. The influential Chinese social media platform WeChat is taken as a case study, and the ease of connection, communication and transaction combined with issues of commercialisation and surveillance are discussed in the framework of the privacy paradox. Protective behaviour and tactics are examined through different perceptions of privacy in the digital age. The findings of this study suggest that users possess certain amount of freedoms on WeChat. However, users' individual privacy attitudes and behaviour in practice suggest they have a declined sense of their own freedom and right to privacy. A privacy paradox exists when users, while holding a high level of concerns, in reality do little to further the protection of their personal information on WeChat. We argue that once a user has ingrained part of their social engagement within the WeChat system, the incentive for them to remain a part of the system outweighs their requirement to secure their privacy online as their decision-making is largely based on a simple cost-benefit analysis. The power and social capital yielded via WeChat is too valuable to give up as WeChat is widely used not only for private conversations, but also for study or work-related purposes. It further blurs the boundaries between the public, the professional and the private, which is a rather unique case compared with other social media around the world.

13.A Q-Learning-Based Approach for Deploying Dynamic Service Function Chains

Author:Sun, J;Huang, GH;Sun, G;Yu, HF;Sangaiah, AK;Chang, V

Source:SYMMETRY-BASEL,2018,Vol.10

Abstract:As the size and service requirements of today's networks gradually increase, large numbers of proprietary devices are deployed, which leads to network complexity, information security crises and makes network service and service provider management increasingly difficult. Network function virtualization (NFV) technology is one solution to this problem. NFV separates network functions from hardware and deploys them as software on a common server. NFV can be used to improve service flexibility and isolate the services provided for each user, thus guaranteeing the security of user data. Therefore, the use of NFV technology includes many problems worth studying. For example, when there is a free choice of network path, one problem is how to choose a service function chain (SFC) that both meets the requirements and offers the service provider maximum profit. Most existing solutions are heuristic algorithms with high time efficiency, or integer linear programming (ILP) algorithms with high accuracy. It's necessary to design an algorithm that symmetrically considers both time efficiency and accuracy. In this paper, we propose the Q-learning Framework Hybrid Module algorithm (QLFHM), which includes reinforcement learning to solve this SFC deployment problem in dynamic networks. The reinforcement learning module in QLFHM is responsible for the output of alternative paths, while the load balancing module in QLFHM is responsible for picking the optimal solution from them. The results of a comparison simulation experiment on a dynamic network topology show that the proposed algorithm can output the approximate optimal solution in a relatively short time while also considering the network load balance. Thus, it achieves the goal of maximizing the benefit to the service provider.

14.RESEARCH ON THE FEASIBILITY AND APPROACHES OF DEVELOPING AGEING-FRIENDLY COMMUNITIES IN THE URBAN-RURAL FRINGE OF CHINA

Author:Gong Lingfei;Yan Haonan;Zhang Dan;Liu Yaqi;Chen Bing

Source:Chinese Hospital Architecture & Equipment,2018,Vol.19

Abstract:根据联合国国际人口学会编著的《人口学字典》的定义,国际上通常把60岁以上的人口占总人口比例达10%%,或65岁以上人口占总人口的比重达7%%作为一个国家或地区进入老龄化社会(Aging Society)的标准,而65岁以上人口占总人口比例达14%%时则视该社会为老龄社会(Aged Society)。我国于2010年以10.33%%的老龄人口比例正式步入老龄化社会,目前是世界上老龄人口最多、

15.Data analytics and visualization for inspecting cancers and genes

Author:Chang, V

Source:MULTIMEDIA TOOLS AND APPLICATIONS,2018,Vol.77

Abstract:This paper describes our latest research in data analytics and visualization for bioinformatics and healthcare. Each year many patients have suffered cancers. Analytics and visualization can help to simulate the development of malignant tumors and help identify weak spots of tumor for treatment, inspect malignant tumors in general and inspect whether genes have cancerous cells. Related literature, technologies, simulation results with explanation, performance evaluation and comparisons with other work have been discussed in details. We can process training data with a low completion time to achieve simulations of malignant tumors and genes to inspect their status, as well as the querying the output data within seconds. Our malignant tumor and gene simulation can achieve 360 degrees for an inspection of cancerous presence. We conclude that data analytics and visualization can provide effective and efficient healthcare research and also other type of interdisciplinary research.

16.Directional Motion-based Interfaces for Virtual and Augmented Reality Head-mounted Displays

Author:Xu,Wenge;Liang,Haining;Yue,Yong

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.

17.The influence of the spatial characteristics of urban green space on the urban heat island effect in Suzhou Industrial Park

Author:Xiao, XD;Dong, L;Yan, HN;Yang, N;Xiong, YM

Source:SUSTAINABLE CITIES AND SOCIETY,2018,Vol.40

Abstract:Urban green spaces can mitigate urban warming problems to some extent. However, the cooling effect of plants differs spatially and temporally, and with plant features. To understand how plants affect urban surface and air temperature, 15 urban green spaces in Suzhou Industrial Park were selected to study the diurnal variation of summer air temperature. At the same time, the mitigation effect of different types of green spaces on the urban heat island (UHI) effect was investigated and further research was undertaken on the effect of green space area, perimeter area ratio, green space average canopy density, average leaf area index (LAI), and other factors influencing the cooling effect. Based on these studies, three representative parks were selected as samples to investigate the cooling effect of urban green space in terms of the water and wind environment. It was found that in the summer, large green spaces had a stable cooling and humidifying effect, while small green spaces had the opposite effect. The cooling and humidifying effect of large green spaces was more obvious and stable, and the cooling effect of small green spaces was more variable, with a heat preservation phenomenon occurring in some cases. The cooling effect of each green area was positively correlated with the green area, the average LAI of green space, and the average canopy density of green space. The cooling effect of each green area was significantly negatively correlated with the green area perimeter. Water bodies within green spaces did not contribute to cooling; however, the cooling effect was related to the wind environment. From the perspective of the planning and construction of city green spaces it is important to increase the green area and the reasonable planning green perimeter area ratio; however, suitable tree species should be selected in the greening process. The effect of urban greening in improving the urban ecological environment has been established. It was concluded that the cooling effects of such green areas are largely determined by plant type, canopy density, and park shapes. Therefore, it is suggested that a stronger emphasis is placed on the selection of plant species and the design of park shapes to achieve environmental cooling effects.

18.Eco-City Comparison: West versus East

Author:Williams,Austin

Source:Sustainability (United States),2018,Vol.11

Abstract:Sino-Singapore Tianjin Eco-city (SSTEC) in northeast China is described by Zhan and de Jong as "the best-known" of all eco-cities. As a newly created urban area, it was constructed with the intention to create a model city of, inter alia, ecologically benign technology, public transport, fresh air, and minimal carbon emissions. SSTEC is reputed to be "the first experiment to plan, build (sic) a new city in an ecological way." This article examines the nature of Tianjin's claims to eco-city status and compares and contrasts some of its key performance indicator [KPI] goals and achievements. As a control, an outline of KPIs from Tianjin Eco-city are set against the environmental and sustainable criteria derived from London, chosen given the brevity of this article. This article is not an international comparison of Eco-city Frameworks between two eco-cities; rather, it is a comparative assessment between a large, historic, non-eco-prefixed city and one of the most high-profile, new Chinese eco-cities in the world. These cities are not comparable in scale, history, culture, industry or sociopolitical structure-that is one reason for their choice. This article does not consider whether one or the other city is better or more or less compliant, but is an attempt to understand whether the "eco" label itself has merit. If benchmarks for the urban environmental performance of a city are site specific, then are they meaningful benchmarks? If non-eco-cities comply with eco-criteria, then what does the prefix tell us? The intention is to begin a process that leads to better understanding of the eco-city phenomenon and to inquire as to whether referencing eco-city labels can provide a useful interpretative mechanism for urban strategic planning. 1 2 3

19.Electrospinning preparation of Sn4+-doped BiFeO3 nanofibers as efficient visible-light-driven photocatalyst for O-2 evolution

Author:Ren, JB;Zhao, D;Liu, HH;Zhong, YJ;Ning, JQ;Zhang, ZY;Zheng, CC;Hu, Y

Source:JOURNAL OF ALLOYS AND COMPOUNDS,2018,Vol.766

Abstract:Metal ion doping has been regarded as an effective strategy to improve photocatalytic activity of pristine photocatalysts for rapid charge transfer and separation effects achieved by doping induced defect states. We herein report the fabrication of uniform one-dimensional (1D) Sn4+-doped BiFeO3 (Sn-BFO) nano-fibers (NFs) by a facile electrospinning technique with subsequent annealing treatment. Benefiting from metal ion doping and the unique 1D structure, the as-prepared Sn-BFO NF catalyst exhibits significantly enhanced photocatalytic performance on O-2 evolution as well as improved photostability under visiblelight illumination. Revealed by experimental investigation as well as density functional theory (DFT) calculation, the doped Sn atoms were incorporated into the BFO lattice and the band structure of BFO was effectively modified and the defect-related energy levels were produced, which leads to the boosted light absorption and improved charge transfer and separation efficiency. Additionally, an optimal Sn4+ doping percentage of 1.0%% was discovered to achieve an average O-2 evolution rate of 516.4 mu mol h(-1) g(-1), nearly two times as much as the non-doped BFO samples. (C) 2018 Elsevier B.V. All rights reserved.

20.An Implantable and Conformal Antenna for Wireless Capsule Endoscopy

Author:Wang, JC;Leach, M;Lim, EG;Wang, Z;Pei, R;Huang, Y

Source:IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,2018,Vol.17

Abstract:This letter proposes an implantable antenna with ultrawide bandwidth operating in the medical device radio communications service band (401-406 MHz) for the wireless capsule endoscopy (WCE). The simulation and experimental results show the proposed antenna has a good performance in terms of the return loss and hence the bandwidth from 284 to 825 MHz. The maximum realized gain of this antenna is -31.5 dBi at 403 MHz. The maximum simulated input power is <1.7 mW in order to satisfy the specific absorption rate (SAR) regulations in the IEEE standard. The tolerance of the antenna owing to bendability and different WCE shell thicknesses is investigated. These indicate that the proposed antenna is a good candidate for the WCE.
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