Design and evaluation of decision and control strategies for autonomous vision-based see and avoid systems

This paper details the design and performance assessment of a unique collision avoidance decision and control strategy for autonomous vision-based See and Avoid systems. The general approach revolves around re-positioning a collision object in the image using image-based visual servoing, without estimating range or time to collision. The decision strategy thus involves determining where to move the collision object, to induce a safe avoidance manuever, and when to cease the avoidance behaviour. These tasks are accomplished by exploiting human navigation models, spiral motion properties, expected image feature uncertainty and the rules of the air. The result is a simple threshold based system that can be tuned and statistically evaluated by extending performance assessment techniques derived for alerting systems. Our results demonstrate how autonomous vision-only See and Avoid systems may be designed under realistic problem constraints, and then evaluated in a manner consistent to aviation expectations.

Innovation in Road Building: Removing Obstacles for Diffusion of Novel Building Products

How can obstacles to innovation be overcome in road construction? Using a focus group methodology, and based on two prior rounds of empirical work, the analysis in this chapter generates a set of four key solutions to two main construction innovation obstacles: (1) restrictive tender assessment and (2) disagreement over who carries the risk of new product failure. The four key solutions uncovered were: 1) pre-project product certification; 2) past innovation performance assessment; 3) earlier involvement of product suppliers and road asset operators; and 4) performance-based specifications. Additional research is suggested in order to illicit deeper insights into possible solutions to construction innovation obstacles, and should emphasise furthering the theoretical interpretation of empirical phenomena.

Key opportunities for the future of roads to contribute to Australia's climate change response

Road agencies face growing pressure to respond to a range of issues associated with climate change and the reliance on fossil fuels. A key part of this response will be to reduce the dependency on fossil fuel based energy (and the associated greenhouse gas emissions) of transport, both vehicles and infrastructure. This paper presents findings of investigations into three key areas of innovative technologies and processes, namely the inclusion of onsite renewable energy generation technologies as part of road and transport infrastructure, the potential for automated motorways to reduce traffic fuel consumption (referred to as 'Smart Roads'), and the reduction of energy demand from route and signal lighting. The paper then concludes with the recommendation for the engineering profession to embrace sustainability performance assessment and rating tools as the basis for enhancing and communicating the contribution to Australia's response to climate change. Such tools provide a rigorous structure that can standardise approaches to key issues across entire sectors and provide clarity on the evidence required to demonstrate leading performance. The paper has been developed with funding and support provided by Australia's Sustainable Built Environment National Research Centre (SBEnrc), working with partners including Main Roads Western Australia, NSW Roads and Maritime Services, Queensland Department of Transport and Main Roads, John Holland Group, the Infrastructure Sustainability Council of Australia, Roads Australia, and the CRC for Low Carbon Living.

Deploying speaker verification techniques to vision-based RPA detect and avoid

Detect and Avoid (DAA) technology is widely acknowledged as a critical enabler for unsegregated Remote Piloted Aircraft (RPA) operations, particularly Beyond Visual Line of Sight (BVLOS). Image-based DAA, in the visible spectrum, is a promising technological option for addressing the challenges DAA presents. Two impediments to progress for this approach are the scarcity of available video footage to train and test algorithms, in conjunction with testing regimes and specifications which facilitate repeatable, statistically valid, performance assessment. This paper includes three key contributions undertaken to address these impediments. In the first instance, we detail our progress towards the creation of a large hybrid collision and near-collision encounter database. Second, we explore the suitability of techniques employed by the biometric research community (Speaker Verification and Language Identification), for DAA performance optimisation and assessment. These techniques include Detection Error Trade-off (DET) curves, Equal Error Rates (EER), and the Detection Cost Function (DCF). Finally, the hybrid database and the speech-based techniques are combined and employed in the assessment of a contemporary, image based DAA system. This system includes stabilisation, morphological filtering and a Hidden Markov Model (HMM) temporal filter.

Promoting and providing expert guidance in work-intensive clinical settings

This paper discusses how expert guidance can be best provided in work intensive clinical settings. The adequacy for supporting learning in the clinical practicum for health care disciplines is often complicated by the intensive work practices in healthcare settings. Often, clinicians' work is so intense that the scope for providing close guidance for students is quite restricted. The case advanced here draws on a range of empirical work to propose how clinician-student interactions might be optimized through the provision of a clinical ccn guided learning such as demonstrating and role-modeling. These roles can contribute in essential ways to the development of learning environments where clinicians have the opportunity to facilitate the learning of others as part of their workload, and without being burdened by the requirements of teaching and assessment processes. It differs from other approaches because although clinicians partner students and provide feedback to them, clinicians are not expected to formally assess or award a grade for student performance. Assessment and remedial action, when required, is undertaken by the role of a designated clinical supervisor qualified to perform such activities. © 2010 Springer Science+Business Media B.V.

Importancia de la cartera de referencia en la evaluación de los fondos de inversión españoles a través del alfa de Jensen

Este trabajo ha sido presentado como ponencia en el XI Congreso Internacional de la Asociación de Dirección y Economía de la Empresa (AEDEM), celebrada en París en septiembre de 2002.

驱油用石油磺酸盐的合成与性能评价

以发烟硫酸为磺化剂进行磺化反应,制备了石油磺酸盐.通过对原料性质、反应时间、反应温度对产品性能影响的考察,筛选出最佳的实验原料及制备的工艺条件.研究表明,磺化反应条件选取温度为40℃、反应时间为60min时,可以得到性能优良的石油磺酸盐产品.以海洋混合减一线油、辽河减四线油为原料制得的石油磺酸盐产品,提纯后具有较好的表面张力和界面性质.

Proposta de construção de um indicador global para sustentabilidade ambiental do processo industrial numa empresa petroquímica instalada no estado do Rio de Janeiro

No presente trabalho foi realizada uma na pesquisa bibliográfica sobre indicadores globais para avaliação da eficiência de um sistema de gestão ambiental (SGA) e sobre o conceito de sustentabilidade ambiental, com o objetivo de estudar o SGA de uma empresa petroquímica, instalada no Rio de Janeiro, certificada pela ISO 9001, ISO 14001 e OSHA 18001. Procurou-se, assim, identificar, a partir da análise dos indicadores de avaliação do desempenho ambiental, a possibilidade de implantar um indicador único para avaliação da eficiência do SGA estudado, de forma a mostrar aos observadores externos e internos, o efetivo engajamento da empresa na preservação dos recursos naturais e na minimização das emissões atmosféricas e de gases de efeito estufa, dentro da ótica de sustentabilidade ambiental focando-se um processo produtivo industrial. Por meio da pesquisa, verificou-se que, apesar de a empresa utilizar indicadores relacionados com o consumo de água, de emissões fugitivas e de geração de resíduos, dentre outros, ela não monitora, de forma objetiva, as emissões em termos de CO2 equivalente e todas as ações ligadas à sustentabilidade ambiental. Assim, foi proposto um indicador global de sustentabilidade ambiental para ser utilizado como referência do processo produtivo, visando fornecer ao responsável pelo SGA os subsídios necessários para tratar da gestão do processo sob a ótica da sustentabilidade ambiental

Os caminhos da avaliação de desempenho do setor saúde no Brasil: os dois lados do mesmo sistema de saúde

Esta revisão de literatura é fruto de indagações sobre a mudança na postura do Estado brasileiro no que concerne à avaliação na atualidade. A temática desta pesquisa é a inserção da ferramenta da avaliação de desempenho da saúde no Brasil. Mais precisamente, o estudo traz uma análise dos índices de desempenho do subsistema público (IDSUS) e do índice elaborado pela Agência Nacional de Saúde (ANS) para avaliar o subsistema privado da saúde (IDSS). Dessa maneira, esta dissertação tem como objetivo analisar os programas de qualificação do sistema de saúde brasileiro através da avaliação do Índice de Desempenho da Saúde Suplementar (IDSS) e do Índice de Desempenho do SUS (IDSUS), considerando seus impactos na relação público-privado do setor saúde. Para dar conta desses objetivos, a pesquisa examinou os Programas de Qualificação do Sistema de Saúde Brasileiro tanto na sua face pública quanto na privada, utilizando as técnicas de análise documental e bibliográfica. A análise transcorreu a partir do levantamento de documentos oficiais e da literatura produzida sobre o tema. Além da leitura de documentos da Agência Nacional de Saúde (ANS), Ministério da Saúde (MS), Instituto de Estudos da Saúde Suplementar (IESS), Federação de Seguros (FENASEG), Associação Brasileira de Medicina de Grupos (ABRAMGE) e Instituto Brasileiro de Geografia e Estatística (IBGE), foram consultados trabalhos acadêmicos e selecionados textos jornalísticos que evidenciaram o processo de implantação e utilização do Programa de Qualificação da Saúde no Brasil. A dissertação então trouxe à tona, admitindo como base a análise do IDSUS recentemente criado e do IDSS, a necessidade de se rediscutir as finalidades das avaliações de desempenho propostas. Tanto o IDSS quanto o IDSUS são iniciativas pioneiras positivas que podem e devem ser aprimoradas, para que possam de fato instrumentalizar o controle social e o gestor na priorização e no planejamento das ações de saúde. O instrumento utilizado pela ANS foi considerado eficaz, democrático e participativo no que diz respeito ao alcance dos objetivos do Programa de Qualificação das Operadoras de Planos de Saúde. O mesmo conseguiu integrar pressupostos de modelos e instrumentos de gestão referenciados pela literatura como modernos e eficazes, como a gestão por resultados. Promoveu não só mais transparência ao subsistema privado, mas induziu, em certa medida, a concorrência do setor. Já em relação à face pública, percebeu-se que mesmo em face da jovialidade da proposta do IDSUS, o mesmo mapeou alguns pontos críticos do subsistema e apontou a necessidade de se trabalhar o setor de forma mais eficiente. Entretanto, esta pesquisa concluiu que ambos os movimentos de avaliação dos subsistemas público e privado não se completam, não dialogam como deveriam, evidenciando uma dificuldade em perceber e organizar o sistema como um todo.

Spectral response of winter wheat to crop development and various agronomic limitations

For maximizing the effective applications of remote sensing in crop recognition, crop performance assessment and canopy variables estimation at large areas, it is essential to fully understand the spectral response of canopy to crop development and varying growing conditions. In this paper, the spectral properties of winter wheat canopy under different growth stages and different agronomic conditions were investigated at the field level based on reflectance measurements. It was proved that crop growth and development, nitrogen fertilization rates, nutrient deficit (e.g. lacking any kind of nitrogen, phosphorus and kalium fertilizer or lacking all of them), irrigation frequency and plant density had direct influence on canopy reflectance in 400-900 nm which including the visible/near infrared bands, and resulted in great changes of spectral curves. It was suggested that spectral reflectance of crop canopy can well reflect the growth and development of crop and the impacts from various factors, and was feasible to provide vital information for crop monitoring and assessment. ©2010 IEEE.

Precision biomechanical motion tracking and throw characterisation in professional darts

In professional sports there are in general three steps required to improve performance namely task definition, training and performance assessment. This process is iteratively repeated and feedback generated from quantitative performance measurement is in turn used for task redefinition. Task definition can be achieved in a number of ways including via video streaming or indeed and as is more common, by listening to coaching staff. However non-subjective performance evaluation is difficult due to the complexity of the movements involved. When considering the subset of sports where precision accuracy and repeatability are a necessity this problem becomes inherently more difficult to solve. Until recently sports such as martial arts, fencing and darts, where the smallest deviation from a prescribed movement goal can result in large outcome error, were deemed too difficult to characterise fully. Advances in technology, as illustrated by this study, now make this type of physiometry possible.

Building effectiveness communication ratios (BECs): an integrated ‘life-cycle’ methodology for mitigating energy-use in buildings

Current building regulations are generally prescriptive in nature. It is widely accepted in Europe that this form of building regulation is stifling technological innovation and leading to inadequate energy efficiency in the building stock. This has increased the motivation to move design practices towards a more ‘performance-based’ model in order to mitigate inflated levels of energy-use consumed by the building stock. A performance based model assesses the interaction of all building elements and the resulting impact on holistic building energy-use. However, this is a nebulous task due to building energy-use being affected by a myriad of heterogeneous agents. Accordingly, it is imperative that appropriate methods, tools and technologies are employed for energy prediction, measurement and evaluation throughout the project’s life cycle. This research also considers that it is imperative that the data is universally accessible by all stakeholders. The use of a centrally based product model for exchange of building information is explored. This research describes the development and implementation of a new building energy-use performance assessment methodology. Termed the Building Effectiveness Communications ratios (BECs) methodology, this performance-based framework is capable of translating complex definitions of sustainability for energy efficiency and depicting universally understandable views at all stage of the Building Life Cycle (BLC) to the project’s stakeholders. The enabling yardsticks of building energy-use performance, termed Ir and Pr, provide continuous design and operations feedback in order to aid the building’s decision makers. Utilised effectively, the methodology is capable of delivering quality assurance throughout the BLC by providing project teams with quantitative measurement of energy efficiency. Armed with these superior enabling tools for project stakeholder communication, it is envisaged that project teams will be better placed to augment a knowledge base and generate more efficient additions to the building stock.

The use of fault detection and diagnostics to reduce air handling unit energy consumption

The contribution of buildings towards total worldwide energy consumption in developed countries is between 20% and 40%. Heating Ventilation and Air Conditioning (HVAC), and more specifically Air Handling Units (AHUs) energy consumption accounts on average for 40% of a typical medical device manufacturing or pharmaceutical facility’s energy consumption. Studies have indicated that 20 – 30% energy savings are achievable by recommissioning HVAC systems, and more specifically AHU operations, to rectify faulty operation. Automated Fault Detection and Diagnosis (AFDD) is a process concerned with potentially partially or fully automating the commissioning process through the detection of faults. An expert system is a knowledge-based system, which employs Artificial Intelligence (AI) methods to replicate the knowledge of a human subject matter expert, in a particular field, such as engineering, medicine, finance and marketing, to name a few. This thesis details the research and development work undertaken in the development and testing of a new AFDD expert system for AHUs which can be installed in minimal set up time on a large cross section of AHU types in a building management system vendor neutral manner. Both simulated and extensive field testing was undertaken against a widely available and industry known expert set of rules known as the Air Handling Unit Performance Assessment Rules (APAR) (and a later more developed version known as APAR_extended) in order to prove its effectiveness. Specifically, in tests against a dataset of 52 simulated faults, this new AFDD expert system identified all 52 derived issues whereas the APAR ruleset identified just 10. In tests using actual field data from 5 operating AHUs in 4 manufacturing facilities, the newly developed AFDD expert system for AHUs was shown to identify four individual fault case categories that the APAR method did not, as well as showing improvements made in the area of fault diagnosis.

Fast model based feature matching technique applied to airport lighting

The use of image processing techniques to assess the performance of airport landing lighting using images of it collected from an aircraft-mounted camera is documented. In order to assess the performance of the lighting, it is necessary to uniquely identify each luminaire within an image and then track the luminaires through the entire sequence and store the relevant information for each luminaire, that is, the total number of pixels that each luminaire covers and the total grey level of these pixels. This pixel grey level can then be used for performance assessment. The authors propose a robust model-based (MB) featurematching technique by which the performance is assessed. The development of this matching technique is the key to the automated performance assessment of airport lighting. The MB matching technique utilises projective geometry in addition to accurate template of the 3D model of a landing-lighting system. The template is projected onto the image data and an optimum match found, using nonlinear least-squares optimisation. The MB matching software is compared with standard feature extraction and tracking techniques known within the community, these being the Kanade–Lucus–Tomasi (KLT) and scaleinvariant feature transform (SIFT) techniques. The new MB matching technique compares favourably with the SIFT and KLT feature-tracking alternatives. As such, it provides a solid foundation to achieve the central aim of this research which is to automatically assess the performance of airport lighting.