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Department Publication Year Content Type Data Sources

1.Special issue on computational intelligence for social media data mining and knowledge discovery

Author:Li, Y;Shyamasundar, RK;Wang, XH


2.Energy Dissipation During Impact of an Agglomerate Composed of Autoadhesive Elastic-Plastic Particles

Author:Liu, LF;Thornton, C;Shaw, SJ


Abstract:Discrete Element Method is used to simulate the impact of agglomerates consisting of autoadhesive, elastic-plastic primary particles. In order to explain the phenomenon that the elastic agglomerate fractures but the elastic-plastic agglomerate disintegrates adjacent to the impact site for the same impact velocity, we increase the impact velocity and lower the yield strength of the constituent particles of the agglomerate. We find that increasing the impact velocity can lead to the increased number of yielded contacts, and cause the elastic-plastic agglomerate to disintegrate faster. Mostly importantly, the energy dissipation process for the elastic-plastic agglomerate impact has been investigated together with the evolutions of the yielding contacts, and evolutions of velocity during impact.

3.Deformations of the standard model: SUq(3) flavor symmetry

Author:Gresnigt, NG


Abstract:The quantum group SUq(3) = Uq(su(3)) is taken as a baryon flavor symmetry and exceptionally accurate octet and decuplet baryons mass relations are obtained by accounting for the electromagnetic contribution to baryon masses (to zeroth order). The resulting charge specific q-deformed octet and decuplet baryon mass sum formulas are accurate to 0.02%% and 0.08%% respectively; a factor of 20 reduction in error compared to the standard Gell-Mann-Okubo mass formulas. An explicit formula for the Cabibbo angle, taken to be pi/14, in terms of the deformation parameter q and spin parity J(P) of the baryons is obtained.

4.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.

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

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


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.

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

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


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.

7.A comparative study of models for shear strength of reinforced concrete T-beams

Author:Liu, J;Gao, ZY


Abstract:Reinforced concrete T-beams are widely used in bridges where beams are cast integrally with deck sections to either side at the beam tops. Although it has been recognized by numerous experimental studies that flanges may have a significant contribution to the shear strength of reinforced concrete T-beams, they are neglected in most of the design codes. In this paper, the load paths to transfer shear force in T-beams are firstly investigated with the help of existing experimental tests. Compared with rectangular beams, an additional load path diverts the diagonal compression from the loading point and the end support, and it carries a portion of the shear force through the flange to the end support. In order to find a relatively reliable model to predict the shear strength of T-beams, a comparative study is carried out among five representative models selected from the literature by using a database with 233 reported T-beam tests. Parametric studies with individual test series are also performed for a detailed evaluation of the five models. It is found that a model proposed by Cladera et al. (i.e., Model [3] is one of the models producing the least scattered predictions. The average shear strength experimental-to-predicted ratio V-exp/V-pred is 1.06 with the coefficient of variation (COV) of 19.6%%. At the same time, it is shown that Model [3] exhibits uniform results across the entire range of experimental data without obvious bias. At the same time, Model [3] is one of the models requiring the least computational effort but with the largest range of applicability.

8.Minimize Reactive Power Losses of Dual Active Bridge Converters using Unified Dual Phase Shift Control

Author:Wen, HQ;Su, B


Abstract:This paper proposed an unified dual-phase-shift (UDPS) control for dual active bridge (DAB) converters in order to improve efficiency for a wide output power range. Different operating modes of UDPS are characterized with respect to the reactive current distribution. The proposed UDPS has the same output power capability with conventional phase-shift (CPS) method. Furthermore, its implementation is simple since only the change of the leading phase-shift direction is required for different operating power range. The proposed UDPS control can minimize both the inductor rms current and the circulating reactive current for various voltage conversion ratios and load conditions. The optimal phase-shift pairs for two bridges of DAB converter are derived with respect to the comprehensive reactive power loss model, including the reactive components delivered from the load and back to the source. Simulation and experimental results are illustrated and explained with details. The effectiveness of the proposed method is verified in terms of reactive power losses minimization and efficiency improvement.

9.Quantitative and rapid detection of microcystin-LR using time-resolved fluorescence immunochromatographic assay based on europium nanospheres

Author:Zhang, Y;Ding, XL;Guo, MM;Han, TT;Huang, ZJ;Shang, HT;Huang, B


Abstract:In the present study, a novel time-resolved fluorescence immunochromatographic assay was established for the rapid quantitative detection of microcystin-leucine arginine (MC-LR). In this method, the europium nanoshpere labelled with anti-MC-LR antibodies was used as the luminescent tracer, dissolved in the running buffer and then added with the sample solution on the pad. MC-LR-BSA and goat anti-mouse antibody were dispensed on the nitrocellulose membrane for the test and the control line, respectively. The optimal parameters were 0.05 g L-1 MC-LR-BSA, 1 : 100 colloidal europium-antibody conjugate, and 10 min reaction time. The linear working range for MC-LR was 0.1-5 mu g L-1 with an IC50 of 0.78 mu g L-1 and a sensitivity of 0.035 mu g L-1. The low cross-reactivity was observed with MC-YR and MC-LF. The assay accuracy was confirmed by the HPLC method with a correlation coefficient of 0.99. When the variable coefficients were 4.4%% and 5.4%%, the average recoveries of tap and lake water were 94.6%% and 102.8%%, respectively. The time-resolved fluorescence immunochromatographic assay provides a sensitive, simple, and speedy performance for MC-LR quantitative determination and has a potential use for water sample screening.

10.AC/E Accion Cultural Espanola; Q Fundacion Arquia

Author:Sofia Quiroga


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

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


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.

12.Application of Hough Transform Feature Extraction to Reduce Angular Vibration in Images Captured from Moving Objects

Author:Afolabi, D;Man, KL;Liang, HN;Zhang, N;Lim, EG;Wan, KY


Abstract:This paper details an ongoing research aimed at developing computational approach to reducing/eliminating vibration and light glare in images captured by digital cameras especially when the scene contains moving objects or the camera is mounted on a moving vehicle / flying drone. The algorithms developed are focused at real-time image acquisition where the enhanced/corrected images are need almost immediately after they are captured. The results show that these methods of reducing the stated problems are effective and it can be further developed for various applications.





14.On the theoretical distribution of the wind farm power when there is a correlation between wind speed and wind turbine availability

Author:Kan, C;Devrim, Y;Eryilmaz, S


Abstract:It is important to elicit information about the potential power output of a wind turbine and a wind farm consisting of specified number of wind turbines before installation of the turbines. Such information can be used to estimate the potential power output of the wind farm which will be built in a specific region. The output power of a wind turbine is affected by two factors: wind speed and turbine availability. As shown in the literature, the correlation between wind speed and wind turbine availability has an impact on the output of a wind farm. Thus, the probability distribution of the power produced by the farm depending on the wind speed distribution and turbine availability can be effectively used for planning and risk management. In this paper, the theoretical distribution of the wind farm power is derived by considering the dependence between turbine availability and the wind speed. The theoretical results are illustrated for real wind turbine reliability and wind speed data.


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

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


16.An Empirical Research on the Investment Strategy of Stock Market based on Deep Reinforcement Learning model

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

Source:COMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk,2019,Vol.

Abstract:The stock market plays a major role in the entire financial market. How to obtain effective trading signals in the stock market is a topic that stock market has long been discussing. This paper first reviews the Deep Reinforcement Learning theory and model, validates the validity of the model through empirical data, and compares the benefits of the three classical Deep Reinforcement Learning models. From the perspective of the automated stock market investment transaction decision-making mechanism, Deep Reinforcement Learning model has made a useful reference for the construction of investor automation investment model, the construction of stock market investment strategy, the application of artificial intelligence in the field of financial investment and the improvement of investor strategy yield. © 2019 International Conference on Complexity, Future Information Systems and Risk.

17.Relational Power: An Extension and Analysis of Leader Power Types

Author:ZHAO Xinyu;SHANG Yufan;XI Youmin;LI Haiyun

Source:Science of Science and Management of S.&.T.(Monthly),2015,Vol.36

Abstract:Firstly, through reviewing and comparing the classic power models from the aspects of power type func-tion basis, obedience motivation and etc., this study noted that we should pay more attention to the relational power in organization context. Secondly, this study summarized the effects of personal relationship in the field of power research, suggesting that it is necessary to introduce and integrate the personal relationship research at the concep-tion-exploring period of relational power. Finally, this study attempts to answer questions such as: The definition, type division, function motivation and differences from classic power types of relational power.

18.2,2-Dicyanovinyl-end-capped oligothiophenes as electron acceptor in solution processed bulk-heterojunction organic solar cells

Author:Wu, J;Ma, Y;Wu, N;Lin, Y;Lin, J;Wang, L;Ma, CQ


Abstract:Three 2,2-dicyanovinyl (DCV) end-capped A-pi-D-pi-A type oligothiophenes (DCV-OTs) containing dithieno[3,2-b: 2',3'-d] silole (DTSi), cyclopenta[1,2-b: 3,4-b'] dithiophene (DTCP) or dithieno[3,2-b: 2',3'-d] pyrrole (DTPy) unit as the central donor part, mono-thiophene as the pi-conjugation bridge were synthesized. The absorption spectroscopies, cyclic voltammetry of these compounds were characterized. Results showed that all these compounds have intensive absorption band over 500-680 nm with a LUMO energy level around -3.80 eV, which is slightly higher than that of [6,6] phenyl-C-61-butyric acid methyl ester (PC61BM, E-LUMO = -4.01 eV), but lower than that of poly(3-hexylthiophene) (P3HT, ELUMO = -2.91 eV). Solution processed bulk heterojunction "all-thiophene'' solar cells using P3HT as electron donor and the above mentioned oligothiophenes as electron acceptor were fabricated and tested. The highest power conversion efficiency (PCE) of 1.31%% was achieved for DTSi-cored compound DTSi(THDCV) 2, whereas PTB7: DTSi(THDCV) 2 based device showed slightly higher PCE of 1.56%%. Electron mobilities of these three compounds were measured to be around 10 (5) cm(2) V (1) s (1) by space charge limited current method, which is much lower than that of PC61BM, and was considered as one of the reason for the low photovoltaic performance. (C) 2015 Elsevier B.V. All rights reserved.

19.Suzhou's modernity within space and spatial relations


Source:Suzhou in Transition,2020,Vol.

20.Impact of Parasitic Elements on RF Performance of Nanometre-Scale MOSFET Structures

Author:Lam, S


Abstract:A recently reported nanometre-scaled MOSFET structure with regrown source and drain is examined. The parasitic circuit elements are identified and quantitatively determined to estimate their impact on the transistor's RF performance. Due to the relatively large lateral parasitic capacitances from the gate electrode to the regrown source and drain regions, the current gain cut-off frequency f(T) of such a transistor is optimistically estimated to be 184 GHz which is not impressive for nanoelectronic devices with an effective gate length of 30 nm. However, with the significantly reduced parasitic series resistances due to the regrown source and drain structures together with the use of the metal gate, the maximum frequency of oscillation f(max) can attain to 820 GHz. This brings about an implication that device structure optimization to reduce the parasitic resistances has a dominant beneficial effect on the RF performance over the negative impact caused by the increased parasitic capacitances.


Author:Fischer, T;De Biswas, K;Ham, JJ;Naka, R;Huang, WX




Source:Manager' Journal,2013,Vol.


23.Clinical Validity and Reliability of the Malay Language Translations of Gastroesophageal Reflux Disease Questionnaire and Quality of Life in Reflux and Dyspepsia Questionnaire in a Primary Care Setting

Author:Vadivelu, S;Ma, ZF;Ong, EW;Hassan, N;Hassan, NFHN;Aziz, SHSA;Kueh, YC;Lee, YY


Abstract:Background: Gastroesophageal Reflux Disease Questionnaire (GERDQ) and Quality of Life in Reflux and Dyspepsia Questionnaire (QOLRAD) are reliable tools for evaluation of GERD. Aim: We aimed to test validity and reliability of Malay language translations of GERDQ and QOLRAD in a primary care setting. Methods: The questionnaires were first translated into the Malay language (GERDQ-M and QOLRAD-M). Patients from primary care clinics with suspected GERD were recruited to complete GERDQ-M, QOLRAD-M, and Malay-translated 36-item short-form health survey (SF-36 or SF36-M), and underwent endoscopy and 24-h pH-impedance test. Results: A total of 104 (mean age 47.1 years, women 51.9%%) participants were enrolled. The sensitivity and specificity for GERDQ-M cut-off score >= 8 were 90.2 and 77.4%%, respectively. Based on this cut-off score, 54.7%% had a high probability of GERD diagnosis. GERD-M score >= 8 vs. <8 was associated with erosive esophagitis (p < 0.001), hiatus hernia (p = 0.03), greater DeMeester score (p = 0.001), and Zerbib scores for acid refluxes (p < 0.001) but not non-acid refluxes (p = 0.1). Mean total scores of QOLRAD-M and SF-36-M were correlated (r = 0.74, p < 0.001). GERDQ-M = 8, erosive esophagitis, and DeMeester >= 14.72 were associated with impaired QOLRAD-M in all domains (all p < 0.02) but this was not seen with SF-36. Conclusions: GERDQ-M and QOLRAD-M are valid and reliable tools applicable in a primary care setting. (C) 2018 S. Karger AG, Basel

24.Experimental and Numerical Study on Impact of Double Layer Vegetation in Open Channel Flows

Author:Rahimi, HR;Tang, X;Singh, P


Abstract:This paper studies the effects of different types and configurations of double layer vegetation on the flow of open channels. The vegetation is simulated through cylindrical dowels with a diameter of 6.35 mm and heights of 10 and 20 cm, which represent short and tall dowels, respectively. Profiles for instantaneous velocities were obtained by acoustic Doppler velocimetry (ADV) at different locations around vegetation with multiple staggered and linear formations. The experiment covers a wide range of sparse to dense vegetation configurations. Furthermore, different flow depths were selected to simulate fully submerged cases for short vegetation and to capture the inflection of velocity over the mixing region between short and tall dowels. The results reveal that the velocity profile is mostly uniform at the depth of short vegetation in different configurations with various densities. The velocity starts to increase in the region near the top edge of short vegetation, followed by a significant increase through the height of tall vegetation to the free surface. Generally, the flow velocity behind the vegetation layer is significantly smaller than that in free regions adjacent to short and tall vegetation. The overall idea of the present study was to simulate the same sets of vegetation configurations using a K-epsilon model with mesh sensitivity analysis to capture inflections over the short vegetation region. The experimental investigations with a numerical study were explored for double layer vegetation, which was corroborated and found to have good agreement for different vegetation configurations. (C) 2019 American Society of Civil Engineers.

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

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


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.

26.Dual algorithm for truncated fractional variation based image denoising

Author:Liang, HX;Zhang, JL


Abstract:Fractional-order derivative is attracting more and more attention of researchers in image processing because of its better property in restoring more texture than the total variation. To improve the performance of fractional-order variation model in image restoration, a truncated fractional-order variation model was proposed in Chan and Liang [Truncated fractional-order variation model for image restoration, J. Oper. Res. Soc. China]. In this paper, we propose a dual approach to solve this truncated fractional-order variation model on noise removal. The proposed algorithm is based on the dual approach proposed by Chambolle [An algorithm for total variation minimisation and applications, J. Math Imaging Vis. 20 (2004), pp. 89-97]. Conversely, the Chambolle's dual approach can be treated as a special case of the proposed algorithm with fractional order . The work of this paper modifies the result in Zhang et al. [Adaptive fractional-order multi-scale method for image denoising, J. Math. Imaging Vis. 43(1) (2012), pp. 39-49. Springer Netherlands 0924-9907, Computer Science, pp. 1-11, 2011], where the convergence is not analysed. Based on the truncation, the convergence of the proposed dual method can be analysed and the convergence criteria can be provided. In addition, the accuracy of the reconstruction is improved after the truncation is taken.

27.The dual effects of home country institutions on the internationalization of private firms in emerging markets Evidence from China

Author:Li, FR;Ding, D


Abstract:Purpose - This study aims to examine the dual effects of home country institutional forces (i.e. institutional support and institutional constraints) on the internationalization of private firms in emerging markets. By doing so, this study aims to examine the applicability of the two seemingly paradoxical views (i.e. the governmental promotion view and the institutional escapism view) in explaining private firms' internationalization. Further, this study investigates how the effect of the home country institutional environment on firms' internationalization is contingent upon firm characteristics. Design/methodology/approach - A sample of Chinese private firms is used to examine the effect of home country institutions on internationalization. Findings - Empirical findings suggest that both institutional support and institutional constraints promote the internationalization of private firms in emerging markets. Moreover, it is found that firm resources strengthen the effect of government support on internationalization. It is also found that firms' business ties strengthen the effect of institutional constraint on internationalization, whereas firms' political ties weaken the effect of institutional constraints on internationalization. Originality/value - By adopting an integrated and comprehensive investigation of the dual effects of home country institutional environment in emerging markets on internationalization, this study provides evidence to the applicability of the two competing views (i.e. the governmental promotion view and the institutional escapism view) in relation to home country institutional effects on internationalization. In addition, this study examines how institutional effects vary across firms with different resources and social ties, thus extends understandings of the boundary conditions of the two institutional effects.

28.A multi-objective optimization model for bike-sharing    

Author:Shan, Yu ; Xie, Dejun ; Zhang, Rui

Source:ACM International Conference Proceeding Series,2019,Vol.

Abstract:The study proposes a multi-objective optimization model for bike-sharing industry by monitoring, with high accuracy, the user demand and providing the suitable number of bikes at selected stations. One of the key factors for designing an optimized bike sharing system is to balance the demand of pick-ups (drop-offs) around a given station and the number of available bikes (vacant lockers) in the station throughout the day. The model optimizes the location of bicycle stations and the number of parking slots that each station should have by taking account of the main contributing factors including the total budget of the bike sharing system, the popularity of riding in the city, and the expected proximity of the stations. A case study using the bike-sharing in New York was conducted to test theeffectiveness of themodel. © 2019 Association for Computing Machinery.

29.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.

30.An atomic finite element model for biodegradable polymers. Part 1. Formulation of the finite elements

Author:Gleadall, A;Pan, JZ;Ding, LF;Kruft, MA;Curco, D


Abstract:Molecular dynamics (MD) simulations are widely used to analyse materials at the atomic scale. However, MD has high computational demands, which may inhibit its use for simulations of structures involving large numbers of atoms such as amorphous polymer structures. An atomic-scale finite element method (AFEM) is presented in this study with significantly lower computational demands than MD. Due to the reduced computational demands, AFEM is suitable for the analysis of Young's modulus of amorphous polymer structures. This is of particular interest when studying the degradation of bioresorbable polymers, which is the topic of an accompanying paper. AFEM is derived from the inter-atomic potential energy functions of an MD force field. The nonlinear MD functions were adapted to enable static linear analysis. Finite element formulations were derived to represent interatomic potential energy functions between two, three and four atoms. Validation of the AFEM was conducted through its application to atomic structures for crystalline and amorphous poly(lactide). (C) 2015 Elsevier Ltd. All rights reserved.

31.Institutional perspective on emerging industry development: Foreign experiences and policy implications for China


Source:Journal of Science and Technology Policy in China,2011,Vol.2

Abstract:Purpose: The purpose of this paper is to elucidate the dynamic interactions and co-evolution of institutions with the technology and organization fields in emerging industry development. Insights and inspirations from comparison of the triangle relationship among government, market and local community in different institutional contexts could contribute to possible institutional innovation in the context of large-scale institutional transition. In this way, this paper is expected to offer insights to the development of emerging industries in China. Design/methodology/approach: The paper reviews the focal literature focusing on institutional change and the co-evolution of institution, industry and technology. A multi-level conceptual framework is put forward to explain the mechanism for the co-evolution of technology, organization and institution. A multi-case comparison method was applied to compare and disclose the process of co-evolution of institutions, and the technology and organizational fields, as well as varied paths of industry development in different institutional contexts. Findings: Emerging industry development in China is still presenting the character of path dependence to a great extent under traditional institutional arrangement, while the power and possible contribution from broader actors in the local community have been ignored. Driving force for a more innovative institutional transition towards emerging industry development should consider decentralized institutional arrangement and actions at local community instead of "command and control" from central planning. Practical implications: First, the comparison of wind energy industry development in three countries creates possibilities for further analysis and reference for China's emerging industry. Second, the illustration of the triangle relationship among government, market and local community in different countries helps policy makers in China reconsider and redesign an effective institutional framework for balancing the powers among indigenous community, local government and market. Institutional alignment should be listed as an important consideration during the process of the policy design of such an effective institutional framework. Originality/value: The paper presents a model to understand the dynamic co-evolution of the institution, technology and organizational fields. It confirms the role of institution in promoting emerging industry development. Particularly, it offers inspirations for the development of emerging industries in nations facing large-scale institutional transition. © Emerald Group Publishing Limited.

32.Valuation Bounds on Barrier Options Under Model Uncertainty

Author:Hong, Y


Abstract:This article investigates valuation bounds on barrier options under model uncertainty. This investigation enriches the literature on the model-free valuation of these exotic options. It is found that with weak assumptions on underlying price processes, tight valuation bounds on barrier options can be sought from a set of European options. As a result, the numerical routine developed in this article can be reviewed as a new method for the evaluation of barrier options, which is independent of model assumptions. (c) 2012 Wiley Periodicals, Inc. Jrl Fut Mark 33:199234, 2013

33.Critically paintable, choosable or colorable graphs

Author:Riasat, A;Schauz, U


Abstract:We extend results about critically k-colorable graphs to choosability and paintability (list colorability and on-line list colorability). Using a strong version of Brooks' Theorem, we generalize Gallai's Theorem about the structure of the low-degree subgraph of critically k-colorable graphs, and introduce a more adequate lowest-degree subgraph. We prove lower bounds for the edge density of critical graphs, and generalize Heawood's Map-Coloring Theorem about graphs on higher surfaces to paintability. We also show that on a fixed given surface, there are only finitely many critically k-paintable/k-choosable/k-colorable graphs, if k >= 6. In this situation, we can determine in polynomial time k-paintability, k-choosability and k-colorability, by giving a polynomial time coloring strategy for "Mrs. Correct". Our generalizations of k-choosability theorems also concern the treatment of non-constant list sizes (non-constant k). Finally, we use a Ramsey-type lemma to deduce all 2-paintable, 2-choosable, critically 3-paintable and critically 3-choosable graphs, with respect to vertex deletion and to edge deletion. (C) 2012 Elsevier B.V. All rights reserved.

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

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


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.

35.Robust Localisation of Pedestrians with Cast Shadows Using Homology in A Monocular View

Author:Xu, M;Jia, TY;Lu, L;Smith, JS


Abstract:In this paper an object detection algorithm is proposed, which is robust in the presence of cast shadows and is based on geometric projections. The novelty of the work lies in the use of homology mapping of the foreground regions between different parallel planes within a monocular view, unlike some existing algorithms which depend on the use of multiple cameras. The results on an open video dataset are provided.

36.Fabricated Pictures Detection with Graph Matching


Source:ACM International Conference Proceeding Series,2020,Vol.

Abstract:Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submissions, the detection whether a picture is fabricated or reused is laborious for reviewers, and sometimes is unrecognizable with human eyes. A tool for detecting similarity between images may help to alleviate this problem. Some methods based on local feature points matching work for most of the time, while these methods may result in mess of matchings due to ignorance of global relationship between features. We present a framework to detect similar, or perhaps fabricated, pictures with the graph matching techniques. A new iterative method is proposed, and experiments show that such a graph matching technique is better than the methods based only on local features for some cases.


Author:Stankovic, N


Abstract:We report on our experience with two pedagogies over a two year period, using one approach in each academic year, but the learning outcome remained the same. The first approach, in the first year, was backed up by Ian Sommerville's textbook, and the second by Bruegge and Dutoit's. The students came from three different curricula, and the class size in the second year was three times that in the first year. The difference in the outcome and in the meeting of the learning outcome has been strongly in favour of the second pedagogy. In this paper we compare the outcomes, provide a number of examples that explain the issues that the students had to deal with, and how the change in the pedagogy has improved the quality of the laboratory work without changing the project framework itself.

38.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


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.

39.Operation of 8-wavelength-radius 2-layer lenses

Author:Gray, D;Nikolic, N;Thornton, J


Abstract:Two competing 8-wavelength-radius 2-layer lens designs were identified in the literature. Both were analyzed by ray tracing and full wave simulation, as an initial step toward production by additive manufacturing for use at mm-wave frequencies. The conclusion of this initial study is that the relative permittivity 1.68 - 1.6 design appears to be best suited to production by laser sintering.

40.Moving shadow detection via binocular vision and colour clustering

Author:Lu, L;Xu, M;Smith, JS;Yan, YY

Source:IET COMPUTER VISION,2020,Vol.14

Abstract:A pedestrian segmentation algorithm in the presence of cast shadows is presented in this study. The novelty of this algorithm lies in the fusion of multi-view and multi-plane homographic projections of foregrounds and the use of the fused data to guide colour clustering. This brings about an advantage over the existing binocular algorithms in that it can remove cast shadows while keeping pedestrians' body parts, which occlude shadows. Phantom detection, which is inherent with the binocular method, is also investigated. Experimental results with real-world videos have demonstrated the efficiency of this algorithm.

41.An Improved Brain Storm Optimization with Differential Evolution Strategy for Applications of ANNs

Author:Cao, ZJ;Hei, XH;Wang, L;Shi, YH;Rong, XF


Abstract:Brain Storm Optimization (BSO) algorithm is a swarm intelligence algorithm inspired by human being's behavior of brainstorming. The performance of BSO is maintained by the creating process of ideas, but when it cannot find a better solution for some successive iterations, the result will be so inefficient that the population might be trapped into local optima. In this paper, we propose an improved BSO algorithm with differential evolution strategy and new step size method. Firstly, differential evolution strategy is incorporated into the creating operator of ideas to allow BSO jump out of stagnation, owing to its strong searching ability. Secondly, we introduce a new step size control method that can better balance exploration and exploitation at different searching generations. Finally, the proposed algorithm is first tested on 14 benchmark functions of CEC 2005 and then is applied to train artificial neural networks. Comparative experimental results illustrate that the proposed algorithm performs significantly better than the original BSO.

42.A history of design institutes in China: from Mao to market

Author:Han, JW


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

Author:Williamson, G;Chen, Z


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.

44.Material Characterization for Sustainable Concrete Paving Blocks

Author:Wang, XY;Chin, CS;Xia, J


Abstract:Recycled aggregates have been widely studied and used in concrete products nowadays. There are still many waste materials that can be used as recycled aggregates other than crushed concrete particles. This paper aims to study the property variations of sustainable concrete paving block incorporating different contents of construction wastes. Five different types of waste materials were used in this project, including: recycled concrete coarse aggregate (RCCA), recycled concrete fine aggregate (RCFA), crushed glass (CG), crumb rubber (CB), and ground granulated blast furnace slag (GGBS). According to the test results of the properties of blocks mixed with different levels of wastes materials, it is concluded that adding both RCCA and RCFA in the block can decrease its strength and increase the water absorption. The suggested replacement levels for RCCA and RCFA are 60%% and 20%%, respectively. Mixing crushed glass in the concrete paving blocks as a type of coarse aggregates can improve the blocks' strength and decrease the blocks' water absorption. Addition of crumb rubber causes a significant deterioration of blocks' properties except for its slip resistance.

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

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


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.

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

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


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.

47.Implementation of CIM-related technologies within transportation projects

Author:Guo, FY;Jahren, CT;Hao, JL;Zhang, C


Abstract:Technologies are continuously evolving and transportation agencies are always trying to find appropriate technologies to assist with their projects. However, it might be hard to answer what technologies and tools are appropriate for them to use and when to use those technologies and tools. Thus, the purpose of this study is to investigate leading transportation agencies' uses of various advanced technologies (e.g. geographic information system (GIS), light detecting and ranging (LiDAR), 3D engineered models, automatic machine guidance (AMG), mobile devices, intelligent compaction (IC), and electronic document management (EDM) system). Based on the 2 weeks of on-site visits to seven transportation agencies, benefits and lessons learned of using these technologies are summarized in the paper. Additionally, a framework is developed to suggest the proper occasions to use various technologies and manage the resulting data throughout the lifecycle of a transportation project.

48.The distribution function and measure preserving maps


Source:Real Analysis Exchange,2011,Vol.36

Abstract:Existence of measure preserving maps has been discussed in books on real analysis where the Axiom of Choice is instrumental. In this note we introduce a method to construct such maps. For our construction we use the distribution function and elementary differential equations.

49.Less is Enough

Author:Williams, A


50.MidSens'09 - International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks, Co-located with the 10th ACM/IFIP/USENIX International Middleware Conference Preface

Author:Michiels, Sam ; Hughes, Danny

Source:MidSens'09 - International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks, Co-located with the 10th ACM/IFIP/USENIX International Middleware Conference,2009,Vol.

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