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Reducing fuel consumption while coping with continually increasing customer demands with regard to driving dynamics, is a conflict of objectives in vehicle development. At the same time, hybrid vehicles offer a chance to meet this challenge. For calibrating the hybrid car's operational strategy, realistic driving cycles are of great importance. Studies have shown that the driver's driving style as...
Humaware's data-driven toolset has been developed through a number of R&D projects to provide asset managers with a predictive maintenance capability with actionable information to optimise maintenance intervention to predict and prevent asset failure. The paper will explain how each tool relates to the State Detection, Health Assessment, Prognostics and Decision Support components of ISO 13374...
This technical paper details the approach taken by CPC Systems to implement a data-driven approach to reliability on the London Underground Jubilee Line following commissioning o f Transmission-Based Train Control (TBTC)1 on the line. It explores the challenges initially presented and opportunities for their resolution, including detail o f analysis and prediction techniques employed.
Closed loop control using the signals provided by sensors allows a machine optimization which cannot be achieved by an open loop control that is not taking this information into account. Unfortunately in real world applications the quality of these signals is not always reliable. Faults include cable breaks, loose connectors, power supply hum, aging of sensors and other effects. They can lead to a...
This paper proposes the development of an intelligent Energy Management System (EMS) at consumer end to utilize the sensitivities of the local renewable generation, battery backup and Plug In Electric Vehicle resources to the changes in grid power input and price of electricity for utility and Demand Response optimization in Smart Micro Grids. In Demand Response usually the price elasticity of demand...
Evolutionary algorithm is a field of great interest to many researchers. Many new algorithms are being developed based on the biological processes in nature. Many variants of the existing algorithms are also being developed and the most optimal method is being researched. This paper gives a brief introduction to flower pollination algorithm (FPA) and an introduction to differential evolution (DE)...
Orthogonal Frequency Division Multiplexing (OFDM) power line communication (PLC) systems perform better with the implementation of efficient bit loading techniques. In this paper, improvement in raw bit rates for PLC is obtained by using the combination of greedy incremental bit loading algorithm and the concept of multiwire PLC with multiple electrical connections between transmitter and receiver...
Quick response to evacuate residents within a short-notice in bushfire situation is vital, which can save lives. This translates to make a decision on selecting shelters, assigning the vehicles, finding the optimal routes, and schedules for evacuation. This study proposes a model as a decision support system that can determine the required vehicles their schedule and routes to evacuate late evacuees...
In this paper, we further analyse the problem that polarimetric target decomposition methods in general have more physical parameters than equations, making the decomposition under-determined and hence have no unique solution. The common approach to get around this problem is to make certain assumptions, thus fixing one or more parameters, allowing the other free parameters to be solved from the set...
We introduce the notion of Optimal Patterns (OPs), defined as the best patterns according to a given user preference, and show that OPs encompass many data mining problems. Then, we propose a generic method based on a Dynamic Constraint Satisfaction Problem to mine OPs, and we show that any OP is characterized by a basic constraint and a set of constraints to be dynamically added. Finally, we perform...
Ride sharing schemes aim to reduce the number of cars in congested cities, while providing the participants with a cheaper alternative to solo driving. To ensure a ride-sharing scheme thrives, it is important to maintain a high participation rate. This requires an adequate balance between drivers and riders. And thus ride matches should be proposed which maximize the number of participants. Different...
Climate change is likely to impact on already rising household electricity costs. A need exists to better understand current consumption and generation patterns and how they impact economically on a household's electricity bill in Queensland. This paper assesses the impact of the current residential household tariffs and how, depending on the electrical system configuration of the household - namely...
The electric rail sector, like many sectors, is looking for means to reduce its energy consumption and energy cost. In this work we consider the scenario where the utility provider charges based on the maximum consumption over a period. Therefore one wishes to schedule the departure of trains such that the aggregate load is balanced across time periods while satisfying timetabling and resource restrictions...
An algorithm for correcting Low-Level Direct Drive (LLDD) test data to its equivalent external Electromagnetic Environment (EME) is proposed. The algorithm solves a simple bi-criterion optimisation problem to minimise the surface current variation between scaled LLDD surface currents and high intensity radiating field (HIRF) surface currents. An example using a fighter aircraft is used to demonstrate...
In the future there will be an increased uptake of solar and battery systems in the residential sector, driven by falling battery costs and increasing electricity tariffs. The increased uptake means we need new methods to forecast electricity demand when considering these technologies. This paper has achieved this goal using a two stage model. Stage 1: A machine learning demand model has been created...
The unprecedented rise of distributed generation in Australia provides utilities with a unique opportunity to more effectively manage portions of the network as microgrids. The implementation of a utility owned and operated microgrid may offer many benefits such as the deferral of capital investments, improvement in reliability, reduction of greenhouse gas emissions and reduction in network losses...
This paper presents a feasible optimal solution to the maintenance-scheduling problem of medical equipment. The proposed approach is based on the exponential survival model developed by the authors. Based on the data analysis obtained for Infusion Pumps and the associated survival function, the problem of preventive maintenance scheduling is formulated as a Mixed-Integer Mathematical Linear Programming...
Visual mapping is a required capability for practical autonomous mobile robots where there exists a growing industry with applications ranging from the service to industrial sectors. Prior to map building, Visual Odometry(VO) is an essential step required in the process of pose graph construction. In this work, we first propose to tackle the pose estimation problem by using both photometric and geometric...
The main issue of paper consist in proposing a few algorithms and control structures for PV grids which can increase predictability and flexibility degrees with respect to specific disturbances. The starting point of our model is the division of the PV grid in subgroups of optimal dimension and pairings that offer minimal variation between the quantity of energy needed and the one prognosticated....
Traditional logic synthesis methodologies are driven by timing, power, and area constraints. However, due to aggressive technology shrinking and lower power requirements, circuit reliability is fast turning out to be yet another major constraint in the VLSI design flow. Soft errors, which traditionally affected only the memories, are now also resulting in logic circuit reliability degradation. In...
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