993 resultados para Program Optimization
Resumo:
Drink driving remains a substantial public health issue warranting investigation. First offender drink drivers are seen to be less risky than repeat offenders, though the majority of first offenders report drink driving prior to detection, and many continue to drink drive following conviction. Few first offenders are offered treatment programs, and as such there is a need to address drink driving behaviour at this stage. A comprehensive approach including first offender treatment is needed to address the problem. Online interventions have demonstrated effectiveness in reducing risky behaviours such as harmful substance use. Such interventions allow for personalised tailored content to be delivered to individuals targeting specific mechanisms of behavioural change. This method also allows for targeting screening to ensure relevance of content on an individual level. However, there have been no research based online programs to date aimed at reducing repeat drink driving by first offenders. The Steering Clear First Offender Drink Driving Program is a self-guided, research based online program aimed at reducing recidivism by first time drink driving offenders. It includes a specialised web app to track drinks and build plans to prevent future drink driving. This allows for elongation of learning and encouragement of sustained behavioural change using self-monitoring after initial program completion. An outline of the program is discussed and the qualitative experience of the program on a sample of first offenders recruited at the time of court appearance is described.
Resumo:
Some of the well known formulations for topology optimization of compliant mechanisms could lead to lumped compliant mechanisms. In lumped compliance, most of the elastic deformation in a mechanism occurs at few points, while rest of the mechanism remains more or less rigid. Such points are referred to as point-flexures. It has been noted in literature that high relative rotation is associated with point-flexures. In literature we also find a formulation of local constraint on relative rotations to avoid lumped compliance. However it is well known that a global constraint is easier to handle than a local constraint, by a numerical optimization algorithm. The current work presents a way of putting global constraint on relative rotations. This constraint is also simpler to implement since it uses linearized rotation at the center of finite-elements, to compute relative rotations. I show the results obtained by using this constraint oil the following benchmark problems - displacement inverter and gripper.
Resumo:
This paper reports results from a qualitative evaluation of a compulsory pre-Learner driver education program within the Australian Capital Territory(ACT), Australia. Two methods were used to obtain feedback from those involved in the delivery of the program as well as those who participated in programs. The first, semi-structured interviews, was undertaken with class room teachers who run the program in their schools, group facilitators running the program with more mature-age students at private facilities (n = 15 in total), and former participants in both school-based and private-based versions of the program (n = 19). The second method used an on-line survey for students (n = 79). Results from both methods were consistent with each other, indicating that strengths of the program were perceived as being its interactive components and the high level of engagement of the target audience. There was strong support from young and mature-age students for the program to remain compulsory. However, consistent with other findings on novice driver education, mature-age participants identified that the program was less relevant to them. It may be that to have greater relevance to mature-age learners, content could address and challenge perceptions about behaviours other than intentional high-risk behaviours (e.g. low level speeding, fatigue) as well as encourage planning/strategies to avoid them. While a longer term, outcome focussed, evaluation of the pre-learner education program is needed, this study suggests that the program is well received by pre-licence drivers and that teachers and facilitators perceive it as both effective and beneficial.
Resumo:
Learner Driver Mentor Programs (LDMPs) assist disadvantaged learner drivers to gain supervised on-road driving experience by providing access to vehicles and volunteer mentors. In the absence of existing research investigating the implementation of Best Practice principles in LDMPs, this case study examines successful program operation in the context of a rural town setting. The study is based on an existing Best Practice model for LDMPs, and triangulation of data from a mentor focus group (n = 7), interviews with program stakeholders (n = 9), and an in-depth interview with the site-based program development officer. The data presented is based upon selected findings of the broader evaluation study. Preliminary findings regarding driving session management, support of mentors and mentees, and building and maintaining relationships with program stakeholders, are discussed. Key findings relate to the importance of relationships in engagement with the program and collaborating across sectors to achieve a range of positive outcomes for learners. The findings highlight the need for the program to be relevant and responsive to the requirements of the population and the context in which it is operating.
Resumo:
The purpose of this article is to show the applicability and benefits of the techniques of design of experiments as an optimization tool for discrete simulation models. The simulated systems are computational representations of real-life systems; its characteristics include a constant evolution that follows the occurrence of discrete events along the time. In this study, a production system, designed with the business philosophy JIT (Just in Time) is used, which seeks to achieve excellence in organizations through waste reduction in all the operational aspects. The most typical tool of JIT systems is the KANBAN production control that seeks to synchronize demand with flow of materials, minimize work in process, and define production metrics. Using experimental design techniques for stochastic optimization, the impact of the operational factors on the efficiency of the KANBAN / CONWIP simulation model is analyzed. The results show the effectiveness of the integration of experimental design techniques and discrete simulation models in the calculation of the operational parameters. Furthermore, the reliability of the methodologies found was improved with a new statistical consideration.
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The theoretical optimization of the design parametersN A ,N D andW P has been done for efficient operation of Au-p-n Si solar cell including thermionic field emission, dependence of lifetime and mobility on impurity concentrations, dependence of absorption coefficient on wavelength, variation of barrier height and hence the optimum thickness ofp region with illumination. The optimized design parametersN D =5×1020 m−3,N A =3×1024 m−3 andW P =11.8 nm yield efficiencyη=17.1% (AM0) andη=19.6% (AM1). These are reduced to 14.9% and 17.1% respectively if the metal layer series resistance and transmittance with ZnS antireflection coating are included. A practical value ofW P =97.0 nm gives an efficiency of 12.2% (AM1).
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Simultaneous consideration of both performance and reliability issues is important in the choice of computer architectures for real-time aerospace applications. One of the requirements for such a fault-tolerant computer system is the characteristic of graceful degradation. A shared and replicated resources computing system represents such an architecture. In this paper, a combinatorial model is used for the evaluation of the instruction execution rate of a degradable, replicated resources computing system such as a modular multiprocessor system. Next, a method is presented to evaluate the computation reliability of such a system utilizing a reliability graph model and the instruction execution rate. Finally, this computation reliability measure, which simultaneously describes both performance and reliability, is applied as a constraint in an architecture optimization model for such computing systems. Index Terms-Architecture optimization, computation
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The National Road Safety Partnership Program (NRSPP) is an industry-led collaborative network which aims to support Australian businesses in developing a positive road safety culture. It aims to help businesses to protect their employees and the public, not only during work hours, but also when their staff are ‘off-duty’. How do we engage and help an organisation minimise work-related vehicle crashes and their consequences both internally, and within the broader community? The first step is helping an organisation to understand the true cost of its road incidents. Larger organisations often wear the costs without knowing the true impact to their bottom line. All they perceive is the change in insurance or vehicle repairs. Understanding the true cost should help mobilise a business’s leadership to do more. The next step is ensuring the business undertakes an informed, structured, evidence-based pathway which will guide them around the costly pitfalls. A pathway based around the safe system approach with buy-in at the top which brings the workforce along. The final step, benchmarking, allows the organisation to measure and track its change. This symposium will explore the pathway steps for organisations using NRSPP resources to become engaged in road safety. The 'Total Cost of Risk' calculator has been developed by Zurich, tested in Europe by Nestle and modified by NRSPP for Australia. This provides the first crucial step. The next step is a structured approach through the Workplace Road Safety Guide using experts and industry to discuss the preferred safe system approach which can then link into the national Benchmarking Project. The outputs from the symposium can help frame a pathway for organisations to follow through the NRSPP website.
Resumo:
An analytical method has been proposed to optimise the small-signaloptical gain of CO2-N2 gasdynamic lasers (gdl) employing two-dimensional (2D) wedge nozzles. Following our earlier work the equations governing the steady, inviscid, quasi-one-dimensional flow in the wedge nozzle of thegdl are reduced to a universal form so that their solutions depend on a single unifying parameter. These equations are solved numerically to obtain similar solutions for the various flow quantities, which variables are subsequently used to optimize the small-signal-gain. The corresponding optimum values like reservoir pressure and temperature and 2D nozzle area ratio also have been predicted and graphed for a wide range of laser gas compositions, with either H2O or He as the catalyst. A large number of graphs are presented which may be used to obtain the optimum values of small signal gain for a wide range of laser compositions without further computations.
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We propose four variants of recently proposed multi-timescale algorithm in [1] for ant colony optimization and study their application on a multi-stage shortest path problem. We study the performance of the various algorithms in this framework. We observe, that one of the variants consistently outperforms the algorithm [1].
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The Cotton and Grain Adoption Program of the Queensland Rural Water Use Efficiency Initiative is targeting five major irrigation regions in the state with the objective to develop better irrigation water use efficiency (WUE) through the adoption of best management practices in irrigation. The major beneficiaries of the program will be industries, irrigators and local communities. The benefits will flow via two avenues: increased production and profit resulting from improved WUE and improved environmental health as a consequence of greatly reduced runoff of irrigation tailwater into rivers and streams. This in turn will reduce the risk of nutrient and pesticide contamination of waterways. As a side effect, the work is likely to contribute to an improved public image of the cotton and grain industries. In each of the five regions, WUE officers have established grower groups to assist in providing local input into the specific objectives of extension and demonstration activities. The groups also assist in developing growers' perceptions of ownership of the work. Activities are based around four on-farm demonstration sites in each region where irrigation management techniques and hardware are showcased. A key theme of the program is monitoring water use. This is applied both to on-farm storage and distribution as well as to application methods and in-field management. This paper describes the project, its activities and successes.
Resumo:
This thesis evaluates a chronic condition self-management program for Aboriginal and Torres Strait Islander people in urban south-east Queensland who have or are at risk of cardiovascular disease. Outcomes showed short-term improvements for some anthropometry measures which could be a trend for improvement in other anthropometry indicators over the longer term. The program was of particular benefit for participants who had several social and emotional wellbeing conditions. The use of an Aboriginal and Torres Strait Islander conceptual framework was critical in undertaking culturally competent quantitative research in this project.
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BACKGROUND The Queensland University of Technology in collaboration with Queensland Health pioneered development of the Allied Health Prescribing Training Program to assist allied health professionals (AHPs) to competently prescribe medicines within their scope of practice. The study program consisted of two modules: Introduction to Clinical Therapeutics for Prescribers and Prescribing and Quality Use of Medicines. METHODS Pre- and post- surveys were developed for both modules. Key themes explored were understanding and confidence in selecting therapeutic choices for patients. For module 2 the learning objectives for safe and effective prescribing were investigated. Data were collected from participants in weeks one and thirteen of the modules via online surveys. RESULTS In the pre-module survey for the first module, participants had a limited degree of understanding and confidence regarding safe and effective use of medicines and appropriate therapeutic choices for managing patients, particularly for complex patients. This improved significantly in the post-module survey. In the pre-module survey for module 2, participants had a moderate degree of understanding and confidence regarding various prescribing learning objectives (including safe and effective prescribing, professional, legal and ethical aspects, communicating medication orders, prescribing safely in their select areas of practice, prescribing safely for complex patients in their area of practice). This increased significantly in the post-module survey. DISCUSSION This training program was implemented to develop a framework of knowledge and skills for AHPs to undertake a prescribing role. The program delivered an increase in participants’ knowledge in the key prescribing areas; and increased participants’ confidence in prescribing safely for patients and for complex patients in their select practice areas. An important aspect of this program was inclusion of prescribing–related activities under supervision of a designated medical practitioner. In conclusion, this educational program for Queensland Health AHP prescribers was successfully developed and is in the final stages of delivery.