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1.Problem-based learning into the future: Imagining an agile PBL ecology for learning

Author:Kek,Megan Yih Chyn A.;Huijser,Henk

Source:Problem-Based Learning into the Future: Imagining an Agile PBL Ecology for Learning,2016,Vol.

Abstract:© Springer Science+Business Media Singapore 2017. In this book we respond to a higher education environment that is on the verge of profound changes by imagining an evolving and agile problem-based learning ecology for learning. The goal of doing so is to humanise university education by pursuing innovative approaches to student learning, teaching, curricula, assessment, and professional learning, and to employ interdisciplinary methods that go far beyond institutional walls and include student development and support, curriculum sustainability, research and the scholarship of teaching and learning, as well as administration and leadership. An agile problem-based learning (PBL) ecology for learning deliberately blurs the boundaries between disciplines, between students and teachers, between students and employers, between employers and teachers, between academics and professional staff, between formal and informal learning, and between teaching and research. It is based on the recognition that all of these elements are interconnected and constantly evolving, rather than being discrete and static. Throughout this book, our central argument is that there is no single person who is responsible for educating students. Rather, it is everyone’s responsibility - teachers, students, employers, administrators, and wider social networks, inside and outside of the university. Agile PBL is about making connections, rather than erecting barriers. In summary, this book is not about maintaining comfort zones, but rather about becoming comfortable with discomfort. The actual implementation is beyond the scope of this book and we envisage that changing perceptions towards this vision will itself be a mammoth task. However, we believe that the alternative of leaving things as they are would ultimately prove untenable, and more distressingly, would leave a generation of students afraid to think, feel, and act for themselves, let alone being able to face the challenges of the 21st century.

2.Usable Authentication Mechanisms for Mobile Devices: An Exploration of 3D Graphical Passwords

Author:Yu, Z;Olade, I;Liang, HN;Fleming, C

Source:2016 INTERNATIONAL CONFERENCE ON PLATFORM TECHNOLOGY AND SERVICE (PLATCON),2016,Vol.

Abstract:Current authentication systems in mobile devices such as smart phones have many shortcomings. Users tend to use simple textual passwords such as PINs, which are easily cracked by intruders. Meanwhile, graphical passwords suffer from shoulder surfing attack In this paper, a new authentication system using 3D graphical passwords, will be proposed and tested to offer more security for mobile devices. This authentication system allows users to interact with the 3D objects in a 3D virtual environment and these actions are tracked in the virtual environment and used to create unique passwords. Based on the previous studies of the 3D password scheme, this paper developed a simple testing program that enables users to create their own 3D password easily. At the end of the paper, some improvements of the program and this authentication system are discussed.

3.Identifying the influential spreaders in multilayer interactions of online social networks

Author:Al-Garadi, MA;Varathan, KD;Ravana, SD;Ahmed, E;Chang, V

Source:JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2016,Vol.31

Abstract:Online social networks (OSNs) portray a multi-layer of interactions through which users become a friend, information is propagated, ideas are shared, and interaction is constructed within an OSN. Identifying the most influential spreaders in a network is a significant step towards improving the use of existing resources to speed up the spread of information for application such as viral marketing or hindering the spread of information for application like virus blocking and rumor restraint. Users communications facilitated by OSNs could confront the temporal and spatial limitations of traditional communications in an exceptional way, thereby presenting new layers of social interactions, which coincides and collaborates with current interaction layers to redefine the multiplex OSN. In this paper, the effects of different topological network structure on influential spreaders identification are investigated. The results analysis concluded that improving the accuracy of influential spreaders identification in OSNs is not only by improving identification algorithms but also by developing a network topology that represents the information diffusion well. Moreover, in this paper a topological representation for an OSN is proposed which takes into accounts both multilayers interactions as well as overlaying links as weight. The measurement results are found to be more reliable when the identification algorithms are applied to proposed topological representation compared when these algorithms are applied to single layer representations.

4.AN APPLIED RESEARCH ON EVIDENCE-BASED DESIGN PRINCIPLES IN HEALTHCARE ENVIRONMENT

Author:Ban Qichao;Chen Bing;Stephen Sharpies;Michael Phiri

Source:Chinese Hospital Architecture & Equipment,2016,Vol.

Abstract:文章分析了循证设计原理及三要素,回顾了其发展历程,从自然元素、空间环境和功能设备3个方面详细阐述了循证设计策略的开发模式,旨在进一步推动循证设计在我国医疗建筑设计中的应用,促进整体医疗环境的优化发展。

5.Dopamine Surface Modification of Trititanate Nanotubes: Proposed In-Situ Structure Models.

Author:Liu, Ruochen; Fu, Xuejian; Wang, Congyi; Dawson, Graham

Source:Chemistry (Weinheim an der Bergstrasse, Germany),2016,Vol.22

Abstract:Two models for self-assembled dopamine on the surface of trititanate nanotubes are proposed: individual monomer units linked by π-π stacking of the aromatic regions and mono-attached units interacting through hydrogen bonds. This was investigated with solid state NMR spectroscopy studies and powder X-ray diffraction.

6.Computation of macro-fiber composite integrated thin-walled smart structures

Author:Zhang, SQ;Zhang, SY;Chen, M;Bai, J;Li, J

Source:2016 GLOBAL CONFERENCE ON POLYMER AND COMPOSITE MATERIALS (PCM 2016),2016,Vol.137

Abstract:Due to high flexibility, reliability, and strong actuation forces, piezo fiber based composite smart material, macro-fiber composite (MFC), is increasingly applied in various fields for vibration suppression, shape control, and health monitoring. The complexity arrangement of MFC materials makes them difficult in numerical simulations. This paper develops a linear electro-mechanically coupled finite element (FE) model for composite laminated thin-walled smart structures bonded with MFC patches considering arbitrary piezo fiber orientation. Two types of MFCs are considered, namely, MFC-d31 in which the d(31) effect dominates the actuation forces, and MFC-d33 which mainly uses the d(33) effect. The proposed FE model is validated by static analysis of an MFC bonded smart plate.

7.HOW THE 1978 FOREIGN DOMESTIC WORKERS LAW INCREASED THE LABOR SUPPLY OF SINGAPOREAN WOMEN

Author:Freire, T

Source:SINGAPORE ECONOMIC REVIEW,2016,Vol.61

Abstract:In 1978, Singapore became the first country to introduce legislation allowing foreign domestic workers to work in the country under special visas. Although Singapore is often cited in the literature as a success story, no studies have quantified the impact of this legislation. In this paper, we use data derived from the Singapore Yearbook of Manpower Statistics between 1974 and 1985 to determine the influence of the 1978 legislation on the labor supply of Singaporean women. We find that the labor supply of women affected by this policy increased by between 3.1%% and 6.2%%.

8.Responding to Uncertainty and Leader's Evolutionary Process---A Discovery Based on Constructivist Grounded Theory

Author:Zhang Xiaofeng;Xi Youmin;Du Yishan

Source:Science & Technology Progress and Policy,2016,Vol.33

Abstract:This paper draws on a longitudinal case study to investigate the evolutionary process of native leader in private enter‐prise .Through extensive collection and cooperation of qualitative data concerning Y's leader activities ,interpretative analysis of local private entrepreneurs grow th process is investigated using constructivism grounded theory in view of responding to uncertainty . Nine core categories of native leader's evolutionary process model are constructed ,which are "emerging uncertainty challenge","tendency uncertainty challenge","initiative treatment","promote learning"and so on .Moreover ,the"passive adaptation" ,"active design"and complex transformation between the two paths during leader's evolutionary process are analyzed in this research :Lead‐ers respond to emerging uncertainty challenge through positively responding and accumulate practical exercise which constitutes passive adaptation in leaders'evolutionary process .In every stage of corporation development ,Leaders identify tendency uncertainty challenge in advance and adapted this challenge through promoting learning which constitutes active design in leaders'evolutionary process .The paths of active design and passive adaptation in leader's evolutionary process are not completely independent and there are transformation inducement mechanism between them .

9.Exploring the Micro-Foundation of Resource-Based View: The Role of Leadership in Organizational Resource Acquisition

Author:Zhang Lin ;Zhang Xiaojun;Xi Youmin

Source:Science & Technology Progress and Policy,2016,Vol.33

Abstract:Based on resource -based view ,resource dependence theory ,entrepreneurship research ,dynamic capabilities , and other related theories ,we divided organizational resource acquisition into three stages and developed eight leader's in-fluence ways in each stage respectively .The framework we proposed provides a micro-foundation of resource-based view and contributes to understanding of leadership effectiveness .

10.A 9,9 '-spirobi[9H-fluorene]-cored perylenediimide derivative and its application in organic solar cells as a non-fullerene acceptor

Author:Yi, JD;Wang, YL;Luo, Q;Lin, Y;Tan, HW;Wang, HY;Ma, CQ

Source:CHEMICAL COMMUNICATIONS,2016,Vol.52

Abstract:A structurally non-planar molecule (SBF-PDI4) with a 9,9'-spirobi[9H-fluorene] (SBF) core and four perylenediimides (PDIs) at the periphery was designed, synthesized and characterized. This compound shows a low-lying LUMO energy level of -4.11 eV, which is similar to that of PCBM, but with intensive light absorption ability in the range 450-550 nm. A high power conversion efficiency (PCE) of 5.34%% was obtained for a solution processed bulk heterojunction solar cell (BHJSC) using SBF-PDI4 as the electron acceptor and a low-band gap polymer poly[[4,8-bis[5-(2-ethylhexyl)thiophene-2-yl]benzo[1,2-b: 4,5-b']dithiophene-2,6-diyl][3-fluoro-2-[(2-ethylhexyl)carbonyl]thieno[3,4-b]thiophenediyl]] (PTB7-Th) as the electron donor. These results demonstrate that PDI derivatives with a three dimensional molecular structure could serve as high performance electron acceptors in BHJSCs.

11.Multimedia augmented m-learning Issues, trends and open challenges

Author:Yousafzai, Abdullah ; Chang, Victor ; Gani, Abdullah ; Noor, Rafidah Md

Source:International Journal of Information Management,2016,Vol.36

Abstract:The advancement in mobile technology and the introduction of cloud computing systems enable the use of educational materials on mobile devices for a location- and time-agnostic learning process. These educational materials are delivered in the form of data and compute-intensive multimedia-enabled learning objects. Given these constraints, the desired objective of mobile learning (m-learning) may not be achieved. Accordingly, a number of m-learning systems are being developed by the industry and academia to transform society into a pervasive educational institute. However, no guideline on the technical issues concerning the m-learning environment is available. In this study, we present a taxonomy of such technical issues that can impede the life cycle of multimedia-enabled m-learning applications. The taxonomy is devised based on the issues related to mobile device heterogeneity, network performance, content heterogeneity, content delivery, and user expectation. These issues are discussed, along with their causes and measures, to achieve solutions. Furthermore, we identify several trending areas through which the adaptability and acceptability of multimedia-enabled m-learning platforms can be increased. Finally, we discuss open challenges, such as low complexity encoding, data dependency, measurement and modeling, interoperability, and security as future research directions. © 2016 Elsevier Ltd. All rights reserved.

12.Flexible synthesis of polyfunctionalised 3-fluoropyrroles

Author:Cogswell, TJ;Donald, CS;Marquez, R

Source:ORGANIC & BIOMOLECULAR CHEMISTRY,2016,Vol.14

Abstract:An efficient and selective approach for the synthesis of polyfunctionalised 3-fluoropyrroles has been developed starting from commercial aldehydes. The methodology is concise, efficient and allows for the modular and systematic assembly of polysubstituted 3-fluoropyrroles. This synthesis provides an alternative and highly convergent strategy for the generation of these chemically and biologically important units.

13.Tethering tissue inhibitors of metalloproteinase (TIMP) to the cell surface for enhanced activity against cervical cancer cell (HeLa) progression

Author:Lee, MH;Jiang, BJ;Tsigkou, A

Source:INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE,2016,Vol.38

14.The Categories of Leader Traits and Their Formations and Relationships in Socialization

Author:Xu Liguo;Xi Youmin;Guo Ju'e;Ge Jing

Source:Nankai Business Review,2016,Vol.19

Abstract:本研究基于张瑞敏个案的社会化过程,探索了领导特质的类型及其形成与关系。研究结果表明,社会化过程中,领导特质表现为四种类型,即根源型、驱动型、思维型和事务型。根源型特质带有强烈的价值判断,积淀并固化于领导者的潜意识中,具有强烈的稳定性,是领导特质的核心层及领导者成长的根本依赖。驱动型特质是不带有价值性判断的领导者自身的主观行为特征,是形成其他领导特质的动力基础。思维性特质是领导者思维意识层面的特质,体现于对待事务时的思维模式。事务型领导特质是领导者对待事务时所呈现的特质,这种特质会依据思维特质的作用而有选择地呈现于领导行为。根源型特质与驱动型特质基于关键事件冲击后领导者的感悟而形成,两者相互激发...

15.THE LONG-TERM DYNAMICAL EVOLUTION OF DISK-FRAGMENTED MULTIPLE SYSTEMS IN THE SOLAR NEIGHBORHOOD

Author:Li, Y;Kouwenhoven, MBN;Stamatellos, D;Goodwin, SP

Source:ASTROPHYSICAL JOURNAL,2016,Vol.831

Abstract:The origin of very low-mass hydrogen-burning stars, brown dwarfs (BDs), and planetary-mass objects (PMOs) at the low-mass end of the initial mass function is not yet fully understood. Gravitational fragmentation of circumstellar disks provides a possible mechanism for the formation of such low-mass objects. The kinematic and binary properties of very low-mass objects formed through disk fragmentation at early times (<10 Myr) were discussed in our previous paper. In this paper we extend the analysis by following the long-term evolution of disk-fragmented systems up to an age of 10 Gyr, covering the ages of the stellar and substellar populations in the Galactic field. We find that the systems continue to decay, although the rates at which companions escape or collide with each other are substantially lower than during the first 10 Myr, and that dynamical evolution is limited beyond 1 Gyr. By t = 10 Gyr, about one third of the host stars are single, and more than half have only one companion left. Most of the other systems have two companions left that orbit their host star in widely separated orbits. A small fraction of companions have formed binaries that orbit the host star in a hierarchical triple configuration. The majority of such double-companion systems have internal orbits that are retrograde with respect to their orbits around their host stars. Our simulations allow a comparison between the predicted outcomes of disk fragmentation with the observed low-mass hydrogen-burning stars, BDs, and PMOs in the solar neighborhood. Imaging and radial velocity surveys for faint binary companions among nearby stars are necessary for verification or rejection of the formation mechanism proposed in this paper.

16.Driving posture recognition by convolutional neural networks

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

Source:IET COMPUTER VISION,2016,Vol.10

Abstract:Driver fatigue and inattention have long been recognised as the main contributing factors in traffic accidents. This study presents a novel system which applies convolutional neural network (CNN) to automatically learn and predict pre-defined driving postures. The main idea is to monitor driver hand position with discriminative information extracted to predict safe/unsafe driving posture. In comparison to previous approaches, CNNs can automatically learn discriminative features directly from raw images. In the authors' works, a CNNmodel was first pre-trained by an unsupervised feature learning method called sparse filtering, and subsequently fine-tuned with classification. The approach was verified using the Southeast University driving posture dataset, which comprised of video clips covering four driving postures, including normal driving, responding to a cell phone call, eating, and smoking. Compared with other popular approaches with different image descriptors and classification methods, the authors' scheme achieves the best performance with an overall accuracy of 99.78%%. To evaluate the effectiveness and generalisation performance in more realistic conditions, the method was further tested using other two specially designed datasets which takes into account of the poor illuminations and different road conditions, achieving an overall accuracy of 99.3 and 95.77%%, respectively.

17.Modeling and Simulation of Energy Control Strategies in AC Microgrid

Author:Wen, HQ;Yang, RZ

Source:2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC),2016,Vol.2016-December

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.

18.The role of big data in smart city

Author:Hashem, IAT;Chang, V;Anuar, NB;Adewole, K;Yaqoob, I;Gani, A;Ahmed, E;Chiroma, H

Source:INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT,2016,Vol.36

Abstract:The expansion of big data and the evolution of Internet of Things (IoT) technologies have played an important role in the feasibility of smart city initiatives. Big data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources, and the IoT allows the integration of sensors, radio-frequency identification, and Bluetooth in the real-world environment using highly networked services. The combination of the IoT and big data is an unexplored research area that has brought new and interesting challenges for achieving the goal of future smart cities. These new challenges focus primarily on problems related to business and technology that enable cities to actualize the vision, principles, and requirements of the applications of smart cities by realizing the main smart environment characteristics. In this paper, we describe the state-of-the-art communication technologies and smart based applications used within the context of smart cities. The visions of big data analytics to support smart cities are discussed by focusing on how big data can fundamentally change urban populations at different levels. Moreover, a future business model of big data for smart cities is proposed, and the business and technological research challenges are identified. This study can serve as a benchmark for researchers and industries for the future progress and development of smart cities in the context of big data. (C) 2016 Elsevier Ltd. All rights reserved.

19.Research-teaching Is Not a Simple Combination of Traditional Teaching and Research Elements

Author:席酉民

Source:China Higher Education,2016,Vol.

Abstract:研究型教学需要"研究型学"和"研究型教"的到位和二者互动机制的形成。学校在学科设计上需注意学科与社会需求以及学科间的融合。给学生创造机会训练和增长其跨文化的领导力是当代教育的重要使命。

20.Full-shipload tramp ship routing and scheduling with variable speeds

Author:Wen, M;Ropke, S;Petersen, HL;Larsen, R;Madsen, OBG

Source:COMPUTERS & OPERATIONS RESEARCH,2016,Vol.70

Abstract:This paper investigates the simultaneous optimization problem of routing and sailing speed in the context of full-shipload tramp shipping. In this problem, a set of cargoes can be transported from their load to discharge ports by a fleet of heterogeneous ships of different speed ranges and load-dependent fuel consumption. The objective is to determine which orders to serve and to find the optimal route for each ship and the optimal sailing speed on each leg of the route so that the total profit is maximized. The problem originated from a real-life challenge faced by a Danish tramp shipping company in the tanker business. To solve the problem, a three-index mixed integer linear programming formulation as well as a set packing formulation is presented. A novel Branch-and-Price algorithm with efficient data preprocessing and heuristic column generation is proposed. The computational results on the test instances generated from real-life data show that the heuristic provides optimal solutions for small test instances and near-optimal solutions for larger test instances in a short running time. The effects of speed optimization and the sensitivity of the solutions to the fuel price change are analyzed. It is shown that speed optimization can improve the total profit by 16%% on average and the fuel price has a significant effect on the average sailing speed and total profit. (C) 2015 Elsevier Ltd. All rights reserved.
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