The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The design of an aperiodic frequency selective surface (FSS) for compact quasi-optical networks is presented in this paper. Using a newly developed Physical Optics (PO) method in conjunction with a direct optimisation approach where all elements are simultaneously optimised, an FSS with an aperiodic element layout operating in several discrete bands over the frequency range 23–230 GHz has been designed...
In this paper, we propose to present the modelling of multivariable Autoregressive with exogenous input (ARX) model by using Laguerre functions. The optimal approximation of the resulting model, entitled MIMO ARX Laguerre model, is ensured when the poles characterizing each Laguerre bases are optimal. An evolutionary method is proposed for the optimization of the Laguerre poles from input/output measurements...
This paper proposes a direct model predictive current control (MPC) strategy for matrix converters (MCs). The proposed method aims to regulate the output current of the MC while minimizing the input reactive power at the same time. In addition, in order to reduce the switching losses, the MPC adjusts the average switching frequency of the converter. The MPC scheme uses the discrete-time model of the...
In this day and age, many universities in Thailand have specific targets for students to achieve academic success and earn honours degrees. Such targets are based in part on the unique identity of each university. This paper aimed to provide a modelling and recommender application, which gathers and utilises the characteristics and attitudes of students in order to accurately predict and select the...
Essential image processing and analysis tasks, such as image segmentation, simplification and denoising, can be conducted in a unified way by minimizing the Mumford-Shah (MS) functional. Although seductive, this minimization is in practice difficult because it requires to jointly define a sharp set of contours and a smooth version of the initial image. For this reason, various relaxations of the original...
The continuously growing wealth of data has radically changed the data science landscape. At the same time, Big Data tools have known important progress in terms of optimising performance and scalability. However, applying them into practical deployment settings is still a challenging task that is highly dependent on the particularities of the data. In this paper, we present our experiences with implementing...
Virtual Learning Environments (VLEs) are required to be highly effective and easy to use as they serve as the primary institutional portal between students and academics. There are currently a number of challenges that are caused due to the modernized digital divide, with a significant limitation being the inability of information systems to adapt to the users' technological platform, broadband quality...
In order to evaluate complex and computationally expensive experiments, data-driven meta-models are used to replace costly experiments and approximate the real experiments' outcome. In this study, an evaluation framework is proposed for measuring the performance of these models. Explored is how the performance is related to the difference between the benchmark optimum and the model optimum, and a...
Energy is available all around us in various forms such as solar, thermal, piezoelectric, vibrational energies, etc. These forms of energy can be converted into electric energy that can power wireless sensors. Energy consumption of wireless sensor is a bottleneck in various applications that require long life time. This paper presents a detailed power consumption analysis of ZigBee based wireless...
Unlike traditional animation techniques, which attempt to copy human movement, ‘cognitive’ animation solutions mimic the brain's approach to problem solving, i.e., a logical (intelligent) thinking structure. This procedural animation solution uses bio-inspired insights (modelling nature and the workings of the brain) to unveil a new generation of intelligent agents. As with any promising new approach,...
There are a number of factors accelerating the uptake of residential battery systems in Australia, these include: falling battery cost, increased energy prices and lower solar export rates. Given the new interest, it is important to analyse the optimal capacities of residential battery systems, for a standard Australian households. This paper contributes an extension to modelling techniques by considering...
We revisit the problem of traffic signal control in urban traffic networks. Recent work in the literature has studied the use of scheduling algorithms from communication networks to traffic signal control with the aim of maximising the network throughput. However, these algorithms are unable to capture some of the network characteristics such as protocol constraints or penalties on the control actions,...
In the light of the emissions associated with fossil fuel combustion and their associated health and environmental impacts, natural gas is becoming increasingly attractive when compared with other fuels. Natural gas is a mixture of methane and other gases, which include natural gas liquid (NGL). This paper presents modeling and optimization of the distillation column of NGL fractions, especially the...
In this work, we deal with the problem of the Azimuth-Elevation (AE) blind tracking for the heliostats in solar central tower. The variation of the AE heliostat angular positions is supposed to happen in well-defined steps of time. It is the time necessary for updating the heliostat position where the mirror is kept properly aligned to the receiver situated on the top of the tower. We noted it here...
Declarative Graphics is a new model built using the concepts of declarative programming in graphics. This paper presents an optimization of declarative graphics by parallelization. The optimization tries to reduce the backend processing of declarative graphics which induces an overhead. The parallelization is achieved by manipulating the inbuilt structure of declarative graphics. By parallelizing...
This paper describes a dynamic modeling and control of a multizone building where the thermal exchange, the coupling between the areas and the human occupation energy are taken into account. The thermal regulation in the building is ensured by a HVAC (Heating, Ventilation and Air Conditioning) system in which many parameters are involved. The HVAC systems are the main equipment for human life, but...
Nowadays the amount of electrical power generated on-board ships is drastically increased, especially for the All Electric Ships (AES) where all the energy needed is supplied by the electrical power system. In this context, the traditional methods to calculate the power demand and select the size of the generation system have become inadequate, since they are based on very dated assumptions. Aim of...
Energy efficiency is becoming more important issue, especially in buildings sector where 15–20% of total energy in developed countries is used. One course toward higher efficiency is to improve HVAC (Heating, Ventilation and Air Conditioning) systems in building, especially by implementation of advanced control methods. Efficiency of these control methods (especially Model Predictive Control) significantly...
In Wi-Fi networks, Device-to-Device (D2D) communications aim to improve the efficiency of the network by supporting direct communication between users in close proximity. However, in a congested Wi-Fi network, establishing D2D connections through a locally managed self-organising approach will intensify the congestion and reduce the scalability of the solution. Therefore, a centralised management...
The present paper describes a CAD platform that combines analytical design, numerical electromagnetic and vibro-acoustic analysis of Permanent Magnet Synchronous Machines for automotive drives systems with a large range of rated power. For dynamic validation and transient behavior two control strategy were taken in consideration (speed and torque control).
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.