Faculty of Computing, Engineering and Media
Permanent URI for this community
Browse
Browsing Faculty of Computing, Engineering and Media by Type "Preprint"
Now showing 1 - 5 of 5
Results Per Page
Sort Options
Item Metadata only Experiment and Smith, Watson and Topper model parameter to correlate fatigue life of rail steel(Research Square Platform LLC, 2023-12-28) Tawfik, M. Nur; Padzi, M. M .; Abdullah, S.; Harmanto, DaniThis paper examines the correlation of fatigue life of R260 steel with using experiment and Smith,Watson and Topper model parameter. In order to correlation the fatigue life, three specimens have been used in testing for tensile strength in gaining properties of mechanical and eighteen specimens used for fatigue testing with using Servo-Pulser fatigue machine less 100 kN. In the meantime, the strain gauges were attaching to all specimens to measure the strain amplitude with one to one specimen during in run fatigue testing. All specimens were prepared in accordance standard E466-15 dimension and setting with R=-1 as fully reversed at room temperature with using constant loading amplitude and frequency of 10Hz. The main findings show that both experiment and SWT model parameter the best fit and a good agreement for correlation fatigue life.Item Open Access An investigation into alternative methods for the defuzzification of an interval type-2 fuzzy set.(2006-04-24T17:26:02Z) Coupland, Simon; John, Robert, 1955-The number of applications of interval type-2 fuzzy logic to real world problems is growing. To date such systems have used type-reduction or an approximation of typereduction to arrive at final crisp output from the system. This paper describes the novel direct defuzzifier for interval type-2 fuzzy sets. A number of fuzzy systems are compared with direct defuzzifier. We compare each defuzzifiers output surface in a simple rule-based system. The direct defuzzifier compares favourably with the type-reduction method under the minimum t-norm. Also, we found that the non-stationary approach provided interesting results.Item Open Access Optimization of MVAC systems for energy management by evolutionary algorithm(Emerald, 2003) Fong, Kwong Fai; Hanby, V. I. (Victor Ian), 1942-; Chow, Tin-TaiEnergy management in existing building services installations is an essential focus of contemporary facilities management. The subway company that is one of the major utilities services in Hong Kong Special Administrative Region (HKSAR) has considered better energy management schemes in its subway stations to reduce the running cost. In the past few years, in order to achieve energy saving in the stations, some feasible measures in the Mechanical Ventilation and Air Conditioning (MVAC) systems were implemented, however the engineering decisions were supported by the trial-and-error or imprecise estimation. Improvement to this process would be possible if numerical optimization methods were to be used. Evolutionary algorithm coupled with external plant simulation programme was applied to determine the optimum conditions of the essential parameters of the MVAC systems, in order to provide a holistic energy management approach. For the centralized MVAC systems of the 5 subway stations under studies, the developed optimization and simulation model was found useful to appraise the energy management opportunities for effective design and facilities management.Item Embargo Validation of convolutional layers in deep learning models to identify patterns in multispectral images: Identification of palm units(IEEE Computer Society, 2019-07-15) Peña, Alejandro; Bonet, Isis; Manzur, Diego; Gongora, Mario Augusto; Caraffini, FabioThe convolutional neural networks (CNN) are considered as a particular case of the Deep Learning neural networks, and have been widely used for the extraction of features in images, audio files or text recognition. For the automatic extraction of features from multispectral images, many researchers have appealed to the use of CNN models, which integrate layers with different structures in context with the solution of a problem, which suggests quite a challenge. That is why, in this article, we propose a method to evaluate the stability in the design of convolutional layers for labeling and identification of palm cultivation units from multispectral images. The structure of the proposed convolutional layer will be given in terms of a fuzzy feature map, obtained as a result of the Cartesian product of three vegetation indices commonly used to evaluate plant vigor in this type of crops (NDVI, GNDVI, RVI), represented as compact maps (radial basis functions). The stability in the design will be given in terms of the dominance of the main diagonal that defines the structure of a convolutional layer obtained as a result of the Cartesian product of two compact maps that represent the same multispectral image.Item Open Access Virtual Agents in Live Coding: A Review of past, present and future directions(eContact!, 2021-03) Xambo, AnnaAI and live coding has been little explored. This article contributes with a short review of different perspectives of using virtual agents in the practice of live coding looking at past and present as well as pointing to future directions.