Overcoming engineering challenges of providing an effective user interface to a large scale distributed synthetic environment on the US teragrid: a systems engineering success story

Over recent years’ large-scale distributed synthetic environment enterprises have been evolving in a diverse range of scientific and engineering fields. These computer modelling and simulation systems are increasing in scale and dimension in order to allow scientists and engineers to explore the attributes and emergent properties of a given system design. Within the field of computational science, the grid facilitates very large-scale collaborative simulation enterprises. The grid is similar to distributed interactive simulation/high level architecture (DIS/HLA) in that it supports interconnectivity but differs in the sense that it supports intercommunication of large super computing resources. An important factor in the rapid adoption of the grid has been its role in enabling access to significant supercomputing resources not usually available at a single institution. However, the major challenge for the grid has been the lack of an effective and ubiquitous interface to the huge computational resource (which can comprise over 6000 CPUs distributed across the globe) at any time and from any location. This paper describes a unique user interface built on systems engineering principles and practices to solve the problem of delivering real-time interaction (from lightweight computing devices such as personal digital assistants, commonly known as tablet devices, to high end computing platforms) with simulations delivering high resolution 3D images. The application of our work has far reaching benefits for many sectors including: aerospace, medical informatics, engineering design, distributed simulation, and modelling

Evolution of maintenance strategies in oil and gas industries: the present achievements and future trends

Engineering Systems maintenance and reliability challenges have drawn serious attention of researchers and industrialists all over the world due to continuous evolution, innovation and complexity of modern technologies deployed in manufacturing and production systems. These systems need very high reliability and availability due to business, mission and safety critical nature of their operations. This paper reviews evolution of systems or equipment maintenance strategies practiced over the years in complex industrial and manufacturing systems such as oil and gas production systems, satellite communication system, spacecraft navigational system, nuclear power plants, etc. The paper also examines the current maintenance and reliability philosophies, their limitations and highlights major breakthroughs and achievements with regards to complex engineering systems maintenance. Intelligent maintenance, a novel approach to complex engineering systems maintenance and reliability sustainment is proposed. The proposed approach reintegrates operation and maintenance phase into system development life cycle, adopts advanced engineering tools and methodology in developing condition-based predictive maintenance, an intelligent maintenance system with resilient, autonomous and adaptive capabilities. Application of Neural network approach to multisensor data fusion for condition-based predictive maintenance system is briefly presented

Future configurable transport for the ageing population

Loneliness and inactivity can adversely affect physical health. Encouraging older people to be active can have health benefits and reduce isolation. New approaches are needed to ensure that growing numbers of older people are able to remain active and mobile during later life. The new design of the configurable e-mobility can support older people in maintaining their independence and quality of life

European transport sector intervention for smart city

Digitalization, urbanization, and globalization are changing our world. They are significant drivers enabling cities to grow. We are now moving to a new era of smart cities, yet we know so little about the so-called smart city. In practice, we often hear cities label themselves as `smart' as they utilize some type of information communication technology (ICT) solutions. By 2050, the population is forecast to be just under 10 billion people, with 80% of that population expected to be urbanized. Whilst there is wide agreement on exploiting technologies to improve citizen's quality of life, there are other challenges in association with urban growth, such as greenhouse gas emissions, pollution from transport, shortage of energy resources, and inadequate and deteriorating energy infrastructure. The recent announcement of no diesel car ban in cities is a way forward to address environmental challenges inherent in rapid growth. This paper presents the government's initiatives in Europe in supporting the evolution for future transport system

Reduction of impacts of oil and gas operations through intelligent maintenance solution

Impacts of oil and gas production operations are always very obvious when there is imbalanced operation, uncontrolled stoppage or catastrophic failure of the system during normal operations. These impacts may range from high flaring and venting of associated petroleum gas, oil release or spillage, equipment damage, fire outbreak to even fatality. Possible causes of imbalanced operations or system failure are categorised into process upset, system degradation, ineffective operation and maintenance procedures and human errors. Effective maintenance strategy integrates major components of the system; people (human factors), operation and maintenance procedures (process) and production plant (technology) to develop an intelligent maintenance solution that is capable of monitoring and detecting fault in the system at incipient stage before operational integrity is compromised. This paper deploys data-based analytics technique to develop condition-based predictive maintenance system to monitor, predict and classify performance of gas processing system. Exhaust gas temperature (EGT) of Gas Turbine Engine (GTE) is one of the operating and control parameters associated with efficiency of the GTE operation. The EGT is measured using several thermocouples, temperature sensors spaced equidistant around the circumference of the exhaust duct of the GTE. Neural network technique of multisensory data fusion is integrated with intelligent maintenance system to monitor performance of GTE, detect fault and classify performance of GTE to optimal, average and abnormal performance

A satisficing bi-directional model transformation engine using mixed integer linear programming

The use of model transformation in software engineering has increased significantly during the past decade, with the ability to rapidly transform models and ensure consistency between those models being a key property of Model Driven Architecture. However, these approaches can be applied to a wide variety of different model types and some of these models and associated transformations require different semantics than those popularised by current model transformation tools. Specifically, current relational model transformation languages typically prioritise matching relation patterns in the source model over creating a target model that is compliant with its meta-model. In this paper we describe a relational model transformation engine implemented as a series of Mixed Integer Linear Programs (MILP). This engine has a key novel feature; it prioritises target model compliance with its meta-model by considering multiple interpretations of applying the transformation specification in order to ensure a correct target model is generated. In this paper the MILP transformation engine and the representations it uses are described, followed by the results of applying it to examples of varying complexity. © JOT 2011

Visual circuit flying with augmented head-tracking on limited field of view flight training devices

The virtual reality technique of amplified head rotations was applied to a fixed-base, low-fidelity flight simulator enabling users to fly a visual flying circuit, a task previously severely restricted by limited field of views and fixed field of regard. An exploratory experi- ment with nine pilots was conducted to test this technique on a fixed-base simulator across three displays: single monitor, triple monitor and triple projector. Participants started airborne downwind in a visual circuit with the primary task of completing the circuit to a full stop landing while having a secondary task of spotting popup traffic in the vicinity simulated by blimps. Data was collected to study effects on flight performance, workload and simulator sickness. The results showed that there were very few significant difference between displays, in itself remarkable considering the difference in display size and field of views. Triple monitor was found to be the best compromise delivering flight performance and traffic detection scores just below triple projector but without some peculiar track deviations during flight and a less chance of simulator sickness. With participants quickly adapting to this technique and favorable feedback, these findings demonstrated the poten- tial value of upgrading flight training devices and to improve their utility and pave the way for future research into this domain

Evaluating the effectiveness of residential water efficiency initiatives in England: influencing factors and policy implications

Providers of municipal water supply services worldwide are facing pressure from climate change and increasing water demand due to growing populations and lifestyle changes. With finite global freshwater supplies, there is need for water service providers to consider water demand management as an option for closing the supply-demand gap. Several water utilities in the UK are implementing residential water efficiency initiatives, but to-date, the effectiveness of these programmes have not been comprehensively evaluated. The present study uses statistical analysis to evaluate the effectiveness of a domestic water efficiency programme, initiated by a major water supply company in South East England. Using multilevel regression, water consumption, weather and demographic data, the study analysed water savings achieved through the efficiency programme and defined the factors that affect a household’s potential to save water. Analysis showed that households that participated in the programme reduced their per capita consumption by approximately 15%. Importantly, research findings provide strong evidence that single resident and financially stretched households have a bigger potential to conserve water than wealthier and larger households do. This study also highlights the robustness of multilevel analysis, even in cases of data limitations. The findings generate implications for policy and practice, which are useful for water companies involved in implementing water efficiency programmes, as well as their evaluation

Soldier system assessment under uncertainty with evidential reasoning

Along with the increasing of new equipment based capabilities, the physiological burden on the dismounted soldier keeps on growing, which leads to the limitation in the quantity and types of missions that can be carried out. In this research, a methodology is developed to solve the burden problem from the system assessment point of view. Comparing with other relevant research, the new methodology not only provides quantitative performance estimate of the soldier with the capability of handling fragmentary and incomplete data with hybrid format in nature (qualitative and quantitative), but also restrains the assessment complexity to an acceptable level

Evaluation of water efficiency programs in single-family households in the UK: A case study

Current water supply worldwide is facing growing pressure as a result of climate change and 13 increasing water demand due to growing population and lifestyle changes. The traditional way of 14 fulfilling the growing demand-supply gap by seeking new water supply options such as exploiting new 15 fresh water resources and investing in the expansion of infrastructure is no longer considered 16 environmentally or economically sustainable. A diverse portfolio of water efficiency measures is now 17 a requirement for the majority of water companies in the UK. This paper presents results from a 18 statistical analysis of a unique water efficiency program case study. The study evaluates the 19 effectiveness of installing water-saving devices in single-family households in areas where a major 20 UK water supply company operates. Using multilevel models, the study accurately measures the water 21 savings achieved through the efficiency program and defines the factors that affect a household’s 22 potential to save water. Analysis illustrated a mean 7% decrease in consumption, explicitly 23 attributable to the efficiency program. Research findings provide strong evidence that single resident 24 and financially stretched households have a bigger potential to conserve water than larger and more 25 affluent ones and also highlight the robustness of multilevel analysis, even in cases of data limitations