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Social and Behavioral Sciences Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Social and Behavioral Sciences
Application Of Global Phase Filtering Method In Multi Frequency Measurement, Limei Song, Yulan Chang, Zongyan Li, Pengqiang Wang, Guangxin Xing, Jiangtao Xi
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
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
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
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
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 …