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Articles 1 - 12 of 12
Full-Text Articles in Social and Behavioral Sciences
A Traffic Monitoring System For A Mixed Traffic Flow Via Road Estimation And Analysis, Nguyen Viet Hung, Le Chung Tran, Nguyen Hoang Dung, Thang Manh Hoang, Nguyen Tien Dzung
A Traffic Monitoring System For A Mixed Traffic Flow Via Road Estimation And Analysis, Nguyen Viet Hung, Le Chung Tran, Nguyen Hoang Dung, Thang Manh Hoang, Nguyen Tien Dzung
Faculty of Engineering and Information Sciences - Papers: Part A
A Traffic Monitoring System (TMS) is the most important element in the Intelligent Transportation Systems (ITS), especially in a developing country like Vietnam with a mixed traffic flow of vehicles including motocycles and cars. A traffic flow varies in different daytime, therefore the adoption of the TMS for an adaptive control of the traffic light timing is very essential. The proposed TMS system uses one CCD camera mounted to view from the rear of moving vehicles appearing in a distance from a viewed span of the camera to the stopline of the cross-roads, which is denoted by L and statistically …
Thin Silicon Strip Detectors For Beam Monitoring In Micro-Beam Radiation Therapy, Marco Povoli, Enver Alagoz, Alberto Bravin, Iwan Cornelius, E Bräuer-Krisch, Pauline Fournier, Thor E. Hansen, Angela Kok, Michael L. F Lerch, E Monakhov, J Morse, Marco Petasecca, Herwig Requardt, Anatoly B. Rosenfeld, D Röhrich, H Sandaker, M Salome, B Stugu
Thin Silicon Strip Detectors For Beam Monitoring In Micro-Beam Radiation Therapy, Marco Povoli, Enver Alagoz, Alberto Bravin, Iwan Cornelius, E Bräuer-Krisch, Pauline Fournier, Thor E. Hansen, Angela Kok, Michael L. F Lerch, E Monakhov, J Morse, Marco Petasecca, Herwig Requardt, Anatoly B. Rosenfeld, D Röhrich, H Sandaker, M Salome, B Stugu
Faculty of Engineering and Information Sciences - Papers: Part A
Microbeam Radiation Therapy (MRT) is an emerging cancer treatment that is currently being developed at the European Synchrotron Radiation Facility (ESRF) in Grenoble, France. This technique uses a highly collimated and fractionated X-ray beam array with extremely high dose rate and very small divergence, to benefit from the dose-volume effect, thus sparing healthy tissue. In case of any beam anomalies and system malfunctions, special safety measures must be installed, such as an emergency safety shutter that requires continuous monitoring of the beam intensity profile. Within the 3DMiMic project, a novel silicon strip detector that can tackle the special features of …
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
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 …
Investigation Of X70 Line Pipe Steel Fracture During Single Edge-Notched Tensile Testing Using Acoustic Emission Monitoring, Turbadrakh Chuluunbat, Cheng Lu, Andrii Kostryzhev, A Kiet Tieu
Investigation Of X70 Line Pipe Steel Fracture During Single Edge-Notched Tensile Testing Using Acoustic Emission Monitoring, Turbadrakh Chuluunbat, Cheng Lu, Andrii Kostryzhev, A Kiet Tieu
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents an investigation of the fracture behavior of X70 pipeline steel using the acoustic emission (AE) monitoring technique. The AE monitoring technique is widely used in mechanical and materials research for detection of plastic deformation, fracture initiation and crack growth. However, quantitative dependences of the AE parameters (such as signal amplitude and frequency) on the fracture parameters of X70 pipeline steel (such as ductile and brittle fracture initiation and propagation) have not been studied in depth and are therefore not completely understood. In this paper, we report an investigation of the effect of loading conditions on the fracture …
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
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) …
Circular Domain Features Based Condition Monitoring For Low Speed Slewing Bearing, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Circular Domain Features Based Condition Monitoring For Low Speed Slewing Bearing, 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 novel application of circular domain features calculation based condition monitoring method for low rotational speed slewing bearing. The method employs data reduction process using piecewise aggregate approximation (PAA) to detect frequency alteration in the bearing signal when the fault occurs. From the processed data, circular domain features such as circular mean, circular variance, circular skewness and circular kurtosis are calculated and monitored. It is shown that the slight changes of bearing condition during operation can be identified more clearly in circular domain analysis compared to time domain analysis and other advanced signal processing methods such as …
Computer Vision Based Traffic Monitoring System For Multi-Track Freeways, Zubair Iftikhar, Prashan Premaratne, Peter James Vial
Computer Vision Based Traffic Monitoring System For Multi-Track Freeways, Zubair Iftikhar, Prashan Premaratne, Peter James Vial
Faculty of Engineering and Information Sciences - Papers: Part A
Nowadays, development is synonymous with construction of infrastructure. Such road infrastructure needs constant attention in terms of traffic monitoring as even a single disaster on a major artery will disrupt the way of life. Humans cannot be expected to monitor these massive infrastructures over 24/7 and computer vision is increasingly being used to develop automated strategies to notify the human observers of any impending slowdowns and traffic bottlenecks. However, due to extreme costs associated with the current state of the art computer vision based networked monitoring systems, innovative computer vision based systems can be developed which are standalone and efficient …
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
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 …
Condition Monitoring Of Slow Speed Slewing Bearing Based On Largest Lyapunov Exponent Algorithm And Circular-Domain Feature Extractions, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Condition Monitoring Of Slow Speed Slewing Bearing Based On Largest Lyapunov Exponent Algorithm And Circular-Domain Feature Extractions, 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 combined nonlinear and circular features extraction-based condition monitoring method for low speed slewing bearing. The proposed method employs the largest Lyapunov exponent (LLE) algorithm as a signal processing method based on vibration data. LLE is used to detect chaos existence in vibration data in discrete angular positions of the shaft. From the processed data, circular features such as mean, skewness and kurtosis are calculated and monitored. It is shown that the onset and the progressively deteriorating bearing condition can be detected more clearly in circular-domain features compared to time-domain features. The application of the method is …
Performance Monitoring Of Rail Tracks Stabilized By Geosynthetics And Shock Mats: Case Studies At Bulli And Singleton In Australia, Buddhima Indraratna, Sanjay Nimbalkar, Pongpipat Anantanasakul, Cholachat Rujikiatkamjorn, Tim Neville
Performance Monitoring Of Rail Tracks Stabilized By Geosynthetics And Shock Mats: Case Studies At Bulli And Singleton In Australia, Buddhima Indraratna, Sanjay Nimbalkar, Pongpipat Anantanasakul, Cholachat Rujikiatkamjorn, Tim Neville
Faculty of Engineering and Information Sciences - Papers: Part A
Rail tracks are conventionally built on compacted ballast and structural fill embankments overlying the natural subsoil. Ballast plays an important role in providing track stiffness to support heavy traffic loads, and providing rapid drainage. However, ballast deforms and degrades progressively under the heavy cyclic loading of passenger and freight trains, which may lead to a loss of track geometry, and require costly regular maintenance. In particular, track construction requires appropriate stabilization techniques for ballast, the extent of which depends also on the type of subgrade. Comprehensive field trials were carried out on two rail lines in Bulli and recently in …
Acoustic Emission Monitoring Of Split Formation During Charpy Impact Testing Of High Strength Steel, Andrii Kostryzhev, R B. Punch, Claire L. Davis, Martin Strangwood
Acoustic Emission Monitoring Of Split Formation During Charpy Impact Testing Of High Strength Steel, Andrii Kostryzhev, R B. Punch, Claire L. Davis, Martin Strangwood
Faculty of Engineering and Information Sciences - Papers: Part A
Acoustic emission (AE) monitoring has been used to detect split formation during room temperature low blow Charpy impact testing of high strength thick strip steels. The AE signal analysis identified separate signals originating from hammer impact, plastic deformation (verified using Charpy impact testing on mild steel with no splits) and split initiation/growth. The presence of splits was confirmed by sectioning and fractography, and the splits were brittle in nature. A possible correlation between the AE signal features and fracture mode is presented.
Geant4 Simulation For Lhc Radiation Monitoring, M Glaser, S Guatelli, B Mascialino, M Moll, M G. Pia, F Ravotti
Geant4 Simulation For Lhc Radiation Monitoring, M Glaser, S Guatelli, B Mascialino, M Moll, M G. Pia, F Ravotti
Faculty of Engineering and Information Sciences - Papers: Part A
Monitoring radiation background is a crucial task for the operation of LHC experiments. A project is in progress at CERN for the optimisation of the radiation monitors for LHC experiments. A simulation system based on Geant4, designed to assist the engineering optimisation of LHC radiation monitor detectors, is presented. Various detector packaging configurations are studied through their Geant4-based simulation, and their behaviour is compared.