6 research outputs found

    A Bankruptcy Problem Approach to Load-shedding in Multiagent-based Microgrid Operation

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    A microgrid is composed of distributed power generation systems (DGs), distributed energy storage devices (DSs), and loads. To maintain a specific frequency in the islanded mode as an important requirement, the control of DGs’ output and charge action of DSs are used in supply surplus conditions and load-shedding and discharge action of DSs are used in supply shortage conditions. Recently, multiagent systems for autonomous microgrid operation have been studied. Especially, load-shedding, which is intentional reduction of electricity use, is a critical problem in islanded microgrid operation based on the multiagent system. Therefore, effective schemes for load-shedding are required. Meanwhile, the bankruptcy problem deals with dividing short resources among multiple agents. In order to solve the bankruptcy problem, division rules, such as the constrained equal awards rule (CEA), the constrained equal losses rule (CEL), and the random arrival rule (RA), have been used. In this paper, we approach load-shedding as a bankruptcy problem. We compare load-shedding results by above-mentioned rules in islanded microgrid operation based on wireless sensor network (WSN) as the communication link for an agent’s interactions

    Mapping Requirements To AUTOSAR Software Components

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    Modern automotive electrical and electronic systems are rapidly growing in complexity. An increase in the number of systems under electronic control has led to a corresponding increase in the complexity of the deployed software. AUTOSAR has been developed as a means of managing this complexity through a standardised architecture which separates an application from its infrastructure. Reusable software components constitute the application logic of an AUTOSAR-based system. However a major problem which faces AUTOSAR and component-based software engineering in general is the difficulty in selecting components which fulfil the system requirements. This thesis presents a framework which allows requirements to be mapped directly to software components. It includes the results from a study which was carried out in conjunction with automotive and software engineering experts to test the framework

    Quality standards for diabetes care toolkit 2014

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    Provides resources and information to support service planning and delivery regarding diabetes care. Introduction Diabetes mellitus is a long term complex metabolic disorder characterised by high levels of blood glucose and caused by defects in insulin secretion and/or action. Diabetes increases the risk of damage to the heart, brain, eyes, kidneys, nerves, blood vessels and many other body systems. It is expected that implementation of improved care processes as described in this set of twenty Quality Standards for Diabetes Care in NZ (the Standards) will reduce the complications, morbidity and mortality associated with diabetes. The Standards are arranged into five topic groupings:  Basic care, self-management and education  Management of diabetes and cardiovascular risk  Management of diabetes complications  While in hospital  Special groups. These standards for Diabetes Care need to be considered as part of an overall systems approach to diabetes. They should be considered in their entirety and implemented via an alliancing framework. Service level alliances should include people with diabetes and utilise clinical governance processes to reduce variation, share learning and focus on improving safety, quality and cost effectiveness. Health care is a complex, adaptive system and, as such, ongoing adjustment will be necessary. Due to the multifaceted nature of diabetes, its management draws on many areas of health care, and care is ‘typically complex and time-consuming’ (NICE 2009, p 4). According to NHS Diabetes (2010) ‘People with diabetes should receive regular structured care, annual or more frequently as appropriate, based on a care planning approach’ (p 4). The Standards describe principles for high-quality, cost-effective care that, when delivered collectively, should improve the effectiveness, safety and experience of care for people with diabetes in the following ways (NICE 2009): enhancing both physical and psychological quality of life treating and caring for people in a safe environment and protecting them from avoidable harm ensuring that people have a positive experience of care helping people to recover from episodes of ill health preventing people from dying prematurely or experiencing disability.   &nbsp
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