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Full-Text Articles in Science and Technology Studies

A Preliminary Design Of Application Of Wireless Identification And Sensing Platform On External Beam Radiotherapy, Heranudin, S Bakhri Jan 2018

A Preliminary Design Of Application Of Wireless Identification And Sensing Platform On External Beam Radiotherapy, Heranudin, S Bakhri

Faculty of Engineering and Information Sciences - Papers: Part B

A linear accelerator (linac) is widely used as a means of radiotherapy by focusing high-energy photons in the targeted tumor of patient. Incorrectness of the shooting can lead normal tissue surrounding the tumor received unnecessary radiation and become damaged cells. A method is required to minimize the incorrectness that mostly caused by movement of the patient during radiotherapy process. In this paper, the Wireless Identification and Sensing Platform (WISP) architecture was employed to monitor in real time the movement of the patient's body during radiotherapy process. In general, the WISP is a wearable sensors device that can transmit measurement data …


Application Of Geoinclusions For Sustainable Rail Infrastructure Under Increased Axle Loads And Higher Speeds, Buddhima Indraratna, Fernanda Bessa Ferreira, Yujie Qi, Ngoc Trung Ngo Jan 2018

Application Of Geoinclusions For Sustainable Rail Infrastructure Under Increased Axle Loads And Higher Speeds, Buddhima Indraratna, Fernanda Bessa Ferreira, Yujie Qi, Ngoc Trung Ngo

Faculty of Engineering and Information Sciences - Papers: Part B

Given the ongoing demand for faster trains for carrying heavier loads, conventional ballasted railroads require considerable upgrading in order to cope with the increasing traffic-induced stresses. During train operations, ballast deteriorates due to progressive breakage and fouling caused by the infiltration of fine particles from the surface or mud-pumping from the underneath layers (e.g. sub-ballast, sub-grade), which decreases the load bearing capacity, impedes drainage and increases the deformation of ballasted tracks. Suitable ground improvement techniques involving geosynthetics and resilient rubber sheets are commonly employed to enhance the stability and longevity of rail tracks. This keynote paper focuses mainly on research …


Application Of Fractional Calculus In Modelling Ballast Deformation Under Cyclic Loading, Yifei Sun, Buddhima Indraratna, John Philip Carter, Timothy R. Marchant, Sanjay Nimbalkar Jan 2017

Application Of Fractional Calculus In Modelling Ballast Deformation Under Cyclic Loading, Yifei Sun, Buddhima Indraratna, John Philip Carter, Timothy R. Marchant, Sanjay Nimbalkar

Faculty of Engineering and Information Sciences - Papers: Part A

Most constitutive models can only simulate cumulative deformation after a limited number of cycles. However, railroad ballast usually experiences a large number of train passages that cause history-dependent long-term deformation. Fractional calculus is an efficient tool for modelling this phenomenon and therefore is incorporated into a constitutive model for predicting the cumulative deformation. The proposed model is further validated by comparing the model predictions with a series of corresponding experimental results. It is observed that the proposed model can realistically simulate the cumulative deformation of ballast from the onset of loading up to a large number of load cycles.


The Architecture Of An Effective Software Application For Managing Enterprise Projects, Reza R. Zamani, Robert B. K Brown, Ghassan Beydoun, William J. Tibben Jan 2017

The Architecture Of An Effective Software Application For Managing Enterprise Projects, Reza R. Zamani, Robert B. K Brown, Ghassan Beydoun, William J. Tibben

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Performance Simulation Of A Ground Source Heat Pump System Integrated With Solar Photovoltaic Thermal Collectors For Residential Application, Lei Xia, Zhenjun Ma, Georgios Kokogiannakis Jan 2017

Performance Simulation Of A Ground Source Heat Pump System Integrated With Solar Photovoltaic Thermal Collectors For Residential Application, Lei Xia, Zhenjun Ma, Georgios Kokogiannakis

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents the simulation and performance evaluation of a ground source heat pump (GSHP) system integrated with water-based solar photovoltaic thermal (PVT) collectors for residential buildings. A dynamic simulation system is developed using TRNSYS and used to facilitate the performance evaluation of the system. A 20-year life-time performance simulation is performed under three operation scenarios with different sizes of the PVT collectors. The results showed that the performance of the system is highly dependent on the size of the PVT collectors. Furthermore, an economic analysis is carried out to determine the optimum size of the PVT collectors for the …


Gvm Based Intuitive Simulation Web Application For Collision Detection, Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou Jan 2017

Gvm Based Intuitive Simulation Web Application For Collision Detection, Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

Computer simulation, which has been proved to be an effective approach to problem solving, is nowadays widely used in modern science. However, it requires a lot of computing resources, which are difficult for general users to acquire. In this paper, we design a Web based system to implement on-line simulation system for ordinary users. As a useful example, the simulation of one type of collision detection model is presented in this paper. Moreover, the software application of simulation is offered as a service on Web. Meanwhile, the incorporation of general vector machine (GVM, a type of neural network) to intelligently …


Statistical Bias And Variance For The Regularized Inverse Problem: Application To Space-Based Atmospheric Co2 Retrievals, Noel A. Cressie, R Wang, Michael M. Smyth, Charles E. Miller Jan 2016

Statistical Bias And Variance For The Regularized Inverse Problem: Application To Space-Based Atmospheric Co2 Retrievals, Noel A. Cressie, R Wang, Michael M. Smyth, Charles E. Miller

Faculty of Engineering and Information Sciences - Papers: Part A

Remote sensing of the atmosphere is typically achieved through measurements that are high-resolution radiance spectra. In this article, our goal is to characterize the first-moment and second-moment properties of the errors obtained when solving the regularized inverse problem associated with space-based atmospheric CO2 retrievals, specifically for the dry air mole fraction of CO2 in a column of the atmosphere. The problem of estimating (or retrieving) state variables is usually ill posed, leading to a solution based on regularization that is often called Optimal Estimation (OE). The difference between the estimated state and the true state is defined to be the …


Quantum Private Set Intersection Cardinality And Its Application To Anonymous Authentication, Runhua Shi, Yi Mu, Hong Zhong, Shun Zhang, Jie Cui Jan 2016

Quantum Private Set Intersection Cardinality And Its Application To Anonymous Authentication, Runhua Shi, Yi Mu, Hong Zhong, Shun Zhang, Jie Cui

Faculty of Engineering and Information Sciences - Papers: Part A

In this paper, we proposed an unconditionally secure quantum Private Set Intersection Cardinality (PSI-CA) protocol. Compared with classical PSI-CA protocols, the proposed protocol can dramatically reduce the communication complexity, because it only requires O(1) communication cost, which is fully independent of the size of the sets. Furthermore, based on the proposed quantum PSI-CA protocol, we constructed a novel anonymous authentication scheme. This scheme can not only achieve two basic secure goals: secure authentication and anonymity, but can also dynamically update the authorized clients. When revoking any authorized client or adding a new client, it only needs to simply compute several …


Edit Distance Based Encryption And Its Application, Phuong Viet Xuan Tran, Guomin Yang, Willy Susilo, Kaitai Liang Jan 2016

Edit Distance Based Encryption And Its Application, Phuong Viet Xuan Tran, Guomin Yang, Willy Susilo, Kaitai Liang

Faculty of Engineering and Information Sciences - Papers: Part A

Edit distance, also known as Levenshtein distance, is a very useful tool to measure the similarity between two strings. It has been widely used in many applications such as natural language processing and bioinformatics. In this paper, we introduce a new type of fuzzy public key encryption called Edit Distance-based Encryption (EDE). In EDE, the encryptor can specify an alphabet string and a threshold when encrypting a message, and a decryptor can obtain a decryption key generated from another alphabet string, and the decryption will be successful if and only if the edit distance between the two strings is within …


A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau Jan 2016

A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau

Faculty of Engineering and Information Sciences - Papers: Part A

The formation of strategic alliances amongst organisations has grown in recent years as globalisation has opened new markets for firms to pursue. It is of ever-increasing importance that organisations have a thorough understanding of the performance of their alliance to achieve competitive advantage. However, much research on strategic alliance has focused on examining the organisations within the alliance rather than focusing on the alliance itself. Using the new discipline of business analytics, this paper proposes a hierarchical model blending the functional roles of business analytics with data standardisation and context mediation frameworks to allow business analytics to be applied to …


Modeling And Identification Of A Realistic Spiking Neural Network And Musculoskeletal Model Of The Human Arm, And An Application To The Stretch Reflex, Manish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura Jan 2016

Modeling And Identification Of A Realistic Spiking Neural Network And Musculoskeletal Model Of The Human Arm, And An Application To The Stretch Reflex, Manish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura

Faculty of Engineering and Information Sciences - Papers: Part B

This study develops a multi-level neuromuscular model consisting of topological pools of spiking motor, sensory and interneurons controlling a bi-muscular model of the human arm. The spiking output of motor neuron pools were used to drive muscle actions and skeletal movement via neuromuscular junctions. Feedback information from muscle spindles were relayed via monosynaptic excitatory and disynaptic inhibitory connections, to simulate spinal afferent pathways. Subject-specific model parameters were identified from human experiments by using inverse dynamics computations and optimization methods. The identified neuromuscular model was used to simulate the biceps stretch reflex and the results were compared to an independent dataset. …


Application Of Shock Mats In Rail Track Foundation Subjected To Dynamic Loads, Sinniah Navaratnarajah, Buddhima Indraratna, Sanjay Nimbalkar Jan 2016

Application Of Shock Mats In Rail Track Foundation Subjected To Dynamic Loads, Sinniah Navaratnarajah, Buddhima Indraratna, Sanjay Nimbalkar

Faculty of Engineering and Information Sciences - Papers: Part A

Rail track substructure (ballast, subballast and subgrade) is the most essential component of the railway system in view of track stability. The ballast is the largest component of the track substructure and it is the key load-bearing stratum packed with rock aggregates underneath and around the sleepers, thereby providing structural support against dynamic stresses caused by moving trains. However under large dynamic stresses exerted by heavy haul and high speed trains, the degradation of track substructure including ballast becomes significant. This in turn affects the track stability and creates frequent maintenance, thus increasing the life cycle cost of the rail …


A High Availability Application Service Platform For Nuclear Power Enterprises, Zhe Sun, He Jin, Jianming Yong, Salim Al Isma'ili, Changying Li, Jun Shen Jan 2016

A High Availability Application Service Platform For Nuclear Power Enterprises, Zhe Sun, He Jin, Jianming Yong, Salim Al Isma'ili, Changying Li, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a High Availability Application Service Platform (HAASP) and analyses its high availability. The architecture of this platform contains application server platform and high availability architecture. Application server platform consists of three major components, application release platform, which is implemented with WebLogic and WebSphere cluster, application and database platforms, which are built with Oracle RAC, and IBM Domino cluster. High availability architecture is constructed by virtual machines, distributed switches and storage pools. It employs virtualization technology to integrate physical servers and storages, where physical servers are responsible for the creation of virtual server cluster, distributed switches, storage pool …


Application Of The Largest Lyapunov Exponent Algorithm For Feature Extraction In Low Speed Slew Bearing Condition Monitoring, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie Jan 2015

Application Of The Largest Lyapunov Exponent Algorithm For Feature Extraction In Low Speed Slew Bearing Condition Monitoring, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a new application of the largest Lyapunov exponent (LLE) algorithm for feature extraction method in low speed slew bearing condition monitoring. The LLE algorithm is employed to measure the degree of non-linearity of the vibration signal which is not easily monitored by existing methods. The method is able to detect changes in the condition of the bearing and demonstrates better tracking of the progressive deterioration of the bearing during the 139 measurement days than comparable methods such as the time domain feature methods based on root mean square (RMS), skewness and kurtosis extraction from the raw vibration …


An Application Of Mathematical Morphology Operators As Features Extraction Method For Low Speed Slew Bearing Condition Monitoring, Wahyu Caesarendra, Dwi B. Wibowo, Mochammad Ariyanto, Joga D. Setiawan Jan 2015

An Application Of Mathematical Morphology Operators As Features Extraction Method For Low Speed Slew Bearing Condition Monitoring, Wahyu Caesarendra, Dwi B. Wibowo, Mochammad Ariyanto, Joga D. Setiawan

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a new application of mathematical morphology (MM) operators for low speed slew bearing condition monitoring. The MM operators were used as a signal processing step and feature extraction method for bearing vibration signals. Four basic MM operators; erosion, dilation, closing and opening, were studied. This paper also investigates another potential MM operator, namely gradient operator. Two common time domain features in bearing condition monitoring, namely root mean square (RMS) and kurtosis, were extracted from the processed signal. The study shows that the changes in bearing condition can be clearly detected from the extracted features (RMS and kurtosis) …


3d Bridge Microdosimeter: Charge Collection Study And Application To Rbe Studies In 12C Radiation Therapy, Linh T. Tran, Dale A. Prokopovich, Susanna Guatelli, Marco Petasecca, Michael L. F Lerch, Mark I. Reinhard, Anatoly B. Rosenfeld Jan 2015

3d Bridge Microdosimeter: Charge Collection Study And Application To Rbe Studies In 12C Radiation Therapy, Linh T. Tran, Dale A. Prokopovich, Susanna Guatelli, Marco Petasecca, Michael L. F Lerch, Mark I. Reinhard, Anatoly B. Rosenfeld

Faculty of Engineering and Information Sciences - Papers: Part A

Radiotherapy using heavy ion beam such as Carbon-ion has the advantage for the treatment of deep-seated tumour over conventional radiotherapy with X-rays due to an enhanced dose deposition in the Bragg peak (BP) at the end of the ion range. The highest dose can be deposited in the tumour with much lower doses to the surrounding healthy tissue. The Relative Biological Effectiveness (RBE) of a carbon-ion radiotherapy beam greatly depends on a depth of the target volume in the body and the nuclear fragmentation process that increases close to the BP or spread out BP (SOBP) as well as neutrons. …


Application Of Saturated Core Fault Current Limiters To Interconnected Distribution Networks, Sasareka Gunawardana Mudalige, Sarath Perera, Jeffrey W. Moscrop Jan 2015

Application Of Saturated Core Fault Current Limiters To Interconnected Distribution Networks, Sasareka Gunawardana Mudalige, Sarath Perera, Jeffrey W. Moscrop

Faculty of Engineering and Information Sciences - Papers: Part A

There is an increasing need for electricity utilities to limit fault levels in critical locations in power systems so that existing switchgear can continue to function as expected. This is particularly true in electrical distribution systems, where the increased penetration of renewable and decentralised generation is forcing the network to be highly interconnected in order to allow for higher integration capacity and reliable operation. Consequently, the short-circuit currents in distribution systems have increased significantly. In this background, application of fault current limiting devices is one of the solutions that is being considered by the Distribution Network Service Providers (DNSPs). A …


Application Of Global Phase Filtering Method In Multi Frequency Measurement, Limei Song, Yulan Chang, Zongyan Li, Pengqiang Wang, Guangxin Xing, Jiangtao Xi Jan 2014

Application Of Global Phase Filtering Method In Multi Frequency Measurement, Limei Song, Yulan Chang, Zongyan Li, Pengqiang Wang, Guangxin Xing, Jiangtao Xi

Faculty of Engineering and Information Sciences - Papers: Part A

In reverse engineering, reconstruction of 3D point cloud data is the key step to acquire the final profile of the object. However, the quality of 3D reconstruction is influenced by noise in the three-dimensional measurement. This paper aims to tackle the issue of removing the noisy data from the complex point cloud data. The 3D-GPF (Three Dimensional Global Phase Filtering) global phase filtering method is proposed based on the study of phase filtering method, consisting of the steps below. Firstly, the six-step phase shift profilometry is used to obtain the local phase information, and encoding the obtained phase information. Through …


Improved Workflow Modelling Using Role Activity Diagram-Based Modelling With Application To A Radiology Service Case Study, Nagesh Shukla, John Keast, Darek Ceglarek Jan 2014

Improved Workflow Modelling Using Role Activity Diagram-Based Modelling With Application To A Radiology Service Case Study, Nagesh Shukla, John Keast, Darek Ceglarek

Faculty of Engineering and Information Sciences - Papers: Part A

The modelling of complex workflows is an important problem-solving technique within healthcare settings. However, currently most of the workflow models use a simplified flow chart of patient flow obtained using on-site observations, groupbased debates and brainstorming sessions, together with historic patient data. This paper presents a systematic and semi-automatic methodology for knowledge acquisition with detailed process representation using sequential interviews of people in the key roles involved in the service delivery process. The proposed methodology allows the modelling of roles, interactions, actions, and decisions involved in the service delivery process. This approach is based on protocol generation and analysis techniques …


Optimization And Application Of Process Parameters In An Az61 Alloy Twin-Roll Strip Casting, Jintao Li, Guangming Xu, Hailiang Yu, Lihong Su, Guanyu Deng, Cheng Lu, Lizi He, Huijun Li Jan 2014

Optimization And Application Of Process Parameters In An Az61 Alloy Twin-Roll Strip Casting, Jintao Li, Guangming Xu, Hailiang Yu, Lihong Su, Guanyu Deng, Cheng Lu, Lizi He, Huijun Li

Faculty of Engineering and Information Sciences - Papers: Part A

Twin-roll strip casting is a concerned technology for economically producing magnesium alloys sheets. In this paper, numerical simulation of the twin-roll strip casting of an AZ61 magnesium alloy was carried out and the optimal process parameters were obtained. Then, under the conditions obtained through simulation, AZ61 strips of good surface quality were successfully manufactured. The microstructure of the alloy by twin-rolled strip casting is obvious refined compared with that by conventional casting.


A Novel Tuning Method For Advanced Line Drop Compensator And Its Application To Response Coordination Of Distributed Generation With Voltage Regulating Devices, Kashem M. Muttaqi, An D. T Le, Michael Negnevitsky, Gerard Ledwich Jan 2014

A Novel Tuning Method For Advanced Line Drop Compensator And Its Application To Response Coordination Of Distributed Generation With Voltage Regulating Devices, Kashem M. Muttaqi, An D. T Le, Michael Negnevitsky, Gerard Ledwich

Faculty of Engineering and Information Sciences - Papers: Part A

Nowadays, integration of small-scale electricity generators, known as Distributed Generation (DG), into distribution networks has become increasingly popular. This tendency together with the falling price of DG units has a great potential in giving the DG a better chance to participate in voltage regulation process, in parallel with other regulating devices already available in the distribution systems. The voltage control issue turns out to be a very challenging problem for distribution engineers, since existing control coordination schemes need to be reconsidered to take into account the DG operation. In this paper, a control coordination approach is proposed, which is able …


Discriminative Sparse Inverse Covariance Matrix: Application In Brain Functional Network Classification, Luping Zhou, Lei Wang, Philip O. Ogunbona Jan 2014

Discriminative Sparse Inverse Covariance Matrix: Application In Brain Functional Network Classification, Luping Zhou, Lei Wang, Philip O. Ogunbona

Faculty of Engineering and Information Sciences - Papers: Part A

Recent studies show that mental disorders change the functional organization of the brain, which could be investigated via various imaging techniques. Analyzing such changes is becoming critical as it could provide new biomarkers for diagnosing and monitoring the progression of the diseases. Functional connectivity analysis studies the covary activity of neuronal populations in different brain regions. The sparse inverse covariance estimation (SICE), also known as graphical LASSO, is one of the most important tools for functional connectivity analysis, which estimates the interregional partial correlations of the brain. Although being increasingly used for predicting mental disorders, SICE is basically a generative …


Comparison Between Sequential And Simultaneous Application Of Activated Carbon With Membrane Bioreactor For Trace Organic Contaminant Removal, Luong N. Nguyen, Faisal I. Hai, Jinguo Kang, Long D. Nghiem, William E. Price, Wenshan Guo, Huu H. Ngo, Kuo-Lun Tung Jan 2013

Comparison Between Sequential And Simultaneous Application Of Activated Carbon With Membrane Bioreactor For Trace Organic Contaminant Removal, Luong N. Nguyen, Faisal I. Hai, Jinguo Kang, Long D. Nghiem, William E. Price, Wenshan Guo, Huu H. Ngo, Kuo-Lun Tung

Faculty of Engineering and Information Sciences - Papers: Part A

The removal efficiency of 22 selected trace organic contaminants by sequential application of granular activated carbon (GAC) and simultaneous application of powdered activated carbon (PAC) with membrane bioreactor (MBR) was compared in this study. Both sequential application of GAC following MBR treatment (MBR–GAC) and simultaneous application of PAC within MBR (PAC–MBR) achieved improved removal (over 95%) of seven hydrophilic and biologically persistent compounds, which were less efficiently removed by MBR-only treatment (negligible to 70%). However, gradual breakthrough of these compounds occurred over an extended operation period. Charged compounds, particularly, fenoprop and diclofenac, demonstrated the fastest breakthrough (complete and 50–70%, in …


Sparse Representation Of Gpr Traces With Application To Signal Classification, Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung Jan 2013

Sparse Representation Of Gpr Traces With Application To Signal Classification, Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung

Faculty of Engineering and Information Sciences - Papers: Part A

Sparse representation (SR) models a signal with a small number of elementary waves using an overcomplete dictionary. It has been employed for a wide range of signal and image processing applications, including denoising, deblurring, and compression. In this paper, we present an adaptive SR method for modeling and classifying ground penetrating radar (GPR) signals. The proposed method decomposes each GPR trace into elementary waves using an adaptive Gabor dictionary. The sparse decomposition is used to extract salient features for SR and classification of GPR signals. Experimental results on real-world data show that the proposed sparse decomposition achieves efficient signal representation …


A Time-Varying Mimo Generalized Minimum Variance Controller For Servo Application, Zheng Li, Guoli Wang Jan 2013

A Time-Varying Mimo Generalized Minimum Variance Controller For Servo Application, Zheng Li, Guoli Wang

Faculty of Engineering and Information Sciences - Papers: Part A

A generalized minimum variance controller is developed for multiple input and multiple output systems having time-varying dynamics. The plant to be controlled is described using a controlled autoregressive moving average model and the control objective is to minimize a generalized minimum variance performance index for servo applications. (2013) Trans Tech Publications, Switzerland.


An Application Of Nonlinear Feature Extraction – A Case Study For Low Speed Slewing Bearing Condition Monitoring And Prognosis, Wahyu Caesarendra, Prabuono Buyung Kosasih, A K. Tieu, Craig Moodie Jan 2013

An Application Of Nonlinear Feature Extraction – A Case Study For Low Speed Slewing Bearing Condition Monitoring And Prognosis, Wahyu Caesarendra, Prabuono Buyung Kosasih, A K. Tieu, Craig Moodie

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents the application of four nonlinear methods of feature extraction in slewing bearing condition monitoring and prognosis: these are largest Lyapunov exponent, fractal dimension, correlation dimension, and approximate entropy methods. Although correlation dimension and approximate entropy methods have been used previously, the largest Lyapunov exponent and fractal dimension methods have not been used in vibration condition monitoring to date. The vibration data of the laboratory slewing bearing test-rig run at 1 rpm was acquired daily from February to August 2007 (138 days). As time progressed, a more accurate observation of the alteration of bearing condition from normal to …


In Situ One-Step Synthesis Of A 3d Nanostructured Germanium-Graphene Composite And Its Application In Lithium-Ion Batteries, Chao Zhong, Jia-Zhao Wang, Xuan-Wen Gao, David Wexler, Hua-Kun Liu Jan 2013

In Situ One-Step Synthesis Of A 3d Nanostructured Germanium-Graphene Composite And Its Application In Lithium-Ion Batteries, Chao Zhong, Jia-Zhao Wang, Xuan-Wen Gao, David Wexler, Hua-Kun Liu

Faculty of Engineering and Information Sciences - Papers: Part A

A germanium-graphene nanocomposite material with three-dimensional nanostructures has been synthesized by an efficient one-step, in situ, and aqueous-based method. The electrochemical properties of the germanium-graphene nanocomposite have been evaluated by galvanostatic discharge-charge cycling, cyclic voltammetry, and electrochemical impedance spectroscopy. Results show that the germanium-graphene nanocomposite has a much more stable cycling performance than that of the pure germanium, with a capacity of about 832 mA h g-1 after 50 cycles. The rate capability is also improved significantly. The superior performance is attributed to the graphene content, which increases the material's conductivity, enlarges the specific surface area, delivers enough sites to …


Controllable Ring Signatures And Its Application To E-Prosecution, Wei Gao, Guilin Wang, Xueli Wang, Dongqing Xie Jan 2013

Controllable Ring Signatures And Its Application To E-Prosecution, Wei Gao, Guilin Wang, Xueli Wang, Dongqing Xie

Faculty of Engineering and Information Sciences - Papers: Part A

This paper introduces a new concept called controllable ring signature which is ring signature with additional properties as follow. (1) Anonymous identifica-tion: by an anonymous identification protocol, the real signer can anonymously prove his authorship of the ring signature to the verifier. And this proof is non-transferable. (2) Linkable signature: the real signer can generate an anonymous signature such that every one can verify whether both this anonymous signature and the ring signature are generated by the same anonymous signer. (3) Convertibility: the real signer can convert a ring signature into an ordinary signature by revealing the secret information about …


Application Of Multiple Objective Particle Swarm Optimisation In The Design Of Damaged Offshore Mooring Systems, Zhuo Wang, Timothy J. Mccarthy, M Neaz Sheikh Jan 2013

Application Of Multiple Objective Particle Swarm Optimisation In The Design Of Damaged Offshore Mooring Systems, Zhuo Wang, Timothy J. Mccarthy, M Neaz Sheikh

Faculty of Engineering and Information Sciences - Papers: Part A

The offshore hydrocarbon industry operates in more hostile environments as more of marginal fields become economically viable. This means that more floating production systems and economical mooring systems will be needed. With this increase in the use of marginal fields goes the need to re-use vessels and moorings. Floating production systems, such as FPSO's, need to survive extreme events and extreme damage conditions. When one mooring line is damaged, the remaining ones must be sufficient to avoid a complete failure and still protect critical components such as the riser. This paper looks into applying an evolutionary optimisation technique, namely multiple …


Autonomous Thin Spray-On Liner Application In Irregular Tunnel And Mine Roadway Surfaces, M P. Tibbs, O K. Tyler, S Van Duin, E Baafi Jan 2013

Autonomous Thin Spray-On Liner Application In Irregular Tunnel And Mine Roadway Surfaces, M P. Tibbs, O K. Tyler, S Van Duin, E Baafi

Faculty of Engineering and Information Sciences - Papers: Part A

An autonomous spray application system for a structural Thin Spray-on Liner (TSL) is targeting productivity and safety on underground coal continuous miners by replacing steel mesh, and has broader applications as surface support and confinement in metalliferous mines and civil tunnelling. Polymer chemistry, coating formulation, geotechnical assessment and the autonomous application system are being developed within an integrated package as part of a continuous miner automation project. The polymer-based TSL system, dubbed "ToughSkin", has significant benefits over conventional steel mesh, including; more automatable by spray application, complete skin confinement, active skin reinforcement as a fast-curing composite with substrate, and effective …