Current Status of Offshore Wind Power Development in China

In July 2010, the Shanghai Donghai Bridge wind farm, the first commercial offshore wind project was connected to the main grid in China. Three months later, four contracts were handed out to build a total of 1GW wind power capacity in the first round of an offshore concession project by the Chinese central government. At that time, there was a worldwide expectation that Chinese offshore wind power capacity would expand rapidly. However, China only achieved a total offshore wind power installed capacity of 389.2 MW by the end of 2012. This paper studies the recent development of offshore wind power in China by dividing the offshore wind power projects into three categories. This paper presents the difficulties for the Chinese government to achieve its 12th Five Year Plan for offshore wind power. Some policy recommendations to overcome the current difficulties are made in the conclusions.

Participatory Action Research with and within community activist groups: capturing the collective experience of Ireland's Community and Voluntary Pillar

The inclusion of community activists in policy planning is increasingly recognized at the highest international level. This article shows how the use of Participatory Action Research (PAR) can present a deeper and more holistic picture of the experiences of Civil Society Organizations (CSOs) in shaping national-level social policy. By utilizing action-based research, the Community and Voluntary Pillar (CVP) of Ireland’s system of social partnership is shown to be an important agent in deliberating national bargaining outcomes (known as the Towards 2016 national agreement). The key contribution of this research is the reflective methodological considerations in terms of PAR design, execution and participant integration in the research process as a way to enrich and develop a deeper and more informed community of practice.

'It Is Not as Easy as ABC': Examining Practitioners' Views on Using Behavioural Contracts to Encourage Young People to Accept Responsibility for their Anti-Social Behaviour

This article examines the use of acceptable behavioural contracts as a tool for engendering the voluntary acceptance of responsibility in children and young people perceived to be engaging in anti-social behaviour and low-level criminality. Based on the results of a qualitative empirical analysis with local government and social housing anti-social behaviour teams, the article explores the attitudes of practitioners to the use of this unregulated but commonly utilised intervention. Practitioners' views are contrasted with the ideals of voluntary responsibilisation upon which the contracts are supposedly based. It is argued that there is a spectrum of differing approaches among practitioners, with some using the contracts more to encourage the voluntary acceptance of responsibility, whilst others use them more coercively to hold individuals responsible for their behaviour. The implications of these differing approaches are examined.

Autonomic scheduling of tasks from data parallel patterns to CPU/GPU core mixes

We propose a methodology for optimizing the execution of data parallel (sub-)tasks on CPU and GPU cores of the same heterogeneous architecture. The methodology is based on two main components: i) an analytical performance model for scheduling tasks among CPU and GPU cores, such that the global execution time of the overall data parallel pattern is optimized; and ii) an autonomic module which uses the analytical performance model to implement the data parallel computations in a completely autonomic way, requiring no programmer intervention to optimize the computation across CPU and GPU cores. The analytical performance model uses a small set of simple parameters to devise a partitioning-between CPU and GPU cores-of the tasks derived from structured data parallel patterns/algorithmic skeletons. The model takes into account both hardware related and application dependent parameters. It computes the percentage of tasks to be executed on CPU and GPU cores such that both kinds of cores are exploited and performance figures are optimized. The autonomic module, implemented in FastFlow, executes a generic map (reduce) data parallel pattern scheduling part of the tasks to the GPU and part to CPU cores so as to achieve optimal execution time. Experimental results on state-of-the-art CPU/GPU architectures are shown that assess both performance model properties and autonomic module effectiveness. © 2013 IEEE.

Multi-centre research in Australia:analysis of a recent National Health and Medical Research Council-funded project

BACKGROUND AND OBJECTIVE: Human research ethics committees provide essential review of research projects to ensure the ethical conduct of human research. Several recent reports have highlighted a complex process for successful application for human research ethics committee approval, particularly for multi-centre studies. Limited resources are available for the execution of human clinical research in Australia and around the world.

METHODS: This report overviews the process of ethics approval for a National Health and Medical Research Council-funded multi-centre study in Australia, focussing on the time and resource implications of such applications in 2007 and 2008.

RESULTS: Applications were submitted to 16 hospital and two university human research ethics committees. The total time to gain final approval from each committee ranged between 13 and 77 days (median = 46 days); the entire process took 16 months to complete and the research officer's time was estimated to cost $A34 143.

CONCLUSIONS: Obstacles to timely human research ethics committee approval are reviewed, including recent, planned and potential initiatives that could improve the ethics approval of multi-centre research.

REDUCED ORDER MODELLING OF THE THERMAL BEHAVIOUR OF AN OFFICE SPACE

Reduced Order Models (ROMs) have proven to be a valid and efficient approach to model the thermal behaviour of building zones. The main issues associated with the use of zonal/lumped models are how to (1) divide the domain (lumps) and (2) evaluate the pa- rameters which characterise the lump-to-lump exchange of energy and momentum. The object of this research is to develop a methodology for the generation of ROMs from CFD models. The lumps of the ROM and their average property values are automatically ex- tracted from the CFD models through user defined constraints. This methodology has been applied to validated CFD models of a zone of the Environmental Research Insti- tute (ERI) Building in University College Cork (UCC). The ROM predicts temperature distribution in the domain with an average error lower than 2%. It is computationally efficient with an execution time of 3.45 seconds. Future steps in this research will be the development of the procedure to automatically extract the parameters which define lump-to-lump energy and momentum exchange. At the moment these parameters are evaluated through the minimisation of a cost function. The ROMs will also be utilised to predict the transient thermal behaviour of the building zone.

Power and Energy Implications of the Number of Threads Used on the Intel Xeon Phi

Energy consumption has become an important area of research of late. With the advent of new manycore processors, situations have arisen where not all the processors need to be active to reach an optimal relation between performance and energy usage. In this paper a study of the power and energy usage of a series of benchmarks, the PARSEC and the SPLASH- 2X Benchmark Suites, on the Intel Xeon Phi for different threads configurations, is presented. To carry out this study, a tool was designed to monitor and record the power usage in real time during execution time and afterwards to compare the r

The Impact of the Recent Economic Recession on the NEC Contract in Northern Ireland: A Preliminary Study

In comparison to the rest of the United Kingdom (UK) the Northern Irish Construction Industry was disproportionately affected by the recent economic recession. During this period, use of the New Engineering Contract (NEC) has proliferated in the public sector, however no study has been undertaken to examine the impact of the recession on this contract in Northern Ireland. The aim of this paper is to explore NEC contract implementation in Northern Ireland and the impact of the recession on its operation. A qualitative methodology is adopted using a literature review and semi structured interviews with six construction professionals. A qualitative analysis identifies themes and issues arising exploring connections and links between them using thematic coding. The initial findings are that the introduction of the NEC contract in Northern Ireland makes demands of contractors and consultants in terms of additional resources and training. Some consultants show a clear lack of understanding of the contract and its provisions. Whilst there is general agreement that the contract does help to stimulate good project management, the interviewees find the contract time consuming and complicated to administer, describing it as “unforgiving for the architect and unforgiving to the contractor.” Due to the impact of the recession, both contractors and consultants are still reporting a drop in income from pre-recession levels. Project resourcing levels have dropped significantly since the onset of the recession. Adversarial and opportunistic behaviour has increased. Many consultants and contractors are struggling to adequately administer the NEC contract at current income levels. The introduction of the NEC contract and the economic recession have exerted opposing forces on the implementation of the contract, hindering its execution. As the pressures exerted by the economic recession abate and a greater understanding of the contract develops, these opposing forces will ease leading to a more consistent implementation of the contract.

UK Public Private Partnerships and the Credit Crunch: A Case of Risk Contagion?

During the past twenty years, the UK has relied heavily on Public Private Partnerships (PPP) and especially the Private Finance Initiative in the procurement of infrastructure and services. Discussing the causes of the credit crunch and its effects on PPP, this paper notes that the provision of new public sector infrastructure and related services has been adversely affected by the impact of the credit crunch on Private Finance Initiatives (PFIs). These problems have arisen primarily from the unwillingness of commercial banks to replace collapsed PFI bond financing unless new PFI contracts reduce financial risks; which, in turn, is likely to increase the cost of these projects to the public sector. Additional financial strains have arisen for the UK government from the need to bail out collapsed PFI projects. Overall we find evidence that the UK commitment to PFI has not only increased immediate fiscal pressures on the UK when these have become least palatable, but has also created fiscal vulnerabilities at local and national levels which are likely to hamper the country’s ability to launch counter-cyclical responses to the ongoing crisis.

A Case Study of OpenMP applied to Map/Reduce-style Computations

As data analytics are growing in importance they are also quickly becoming one of the dominant application domains that require parallel processing. This paper investigates the applicability of OpenMP, the dominant shared-memory parallel programming model in high-performance computing, to the domain of data analytics. We contrast the performance and programmability of key data analytics benchmarks against Phoenix++, a state-of-the-art shared memory map/reduce programming system. Our study shows that OpenMP outperforms the Phoenix++ system by a large margin for several benchmarks. In other cases, however, the programming model is lacking support for this application domain.

Executing bag of distributed tasks on the cloud: Investigating the trade-offs between performance and cost

Bag of Distributed Tasks (BoDT) can benefit from decentralised execution on the Cloud. However, there is a trade-off between the performance that can be achieved by employing a large number of Cloud VMs for the tasks and the monetary constraints that are often placed by a user. The research reported in this paper is motivated towards investigating this trade-off so that an optimal plan for deploying BoDT applications on the cloud can be generated. A heuristic algorithm, which considers the user's preference of performance and cost is proposed and implemented. The feasibility of the algorithm is demonstrated by generating execution plans for a sample application. The key result is that the algorithm generates optimal execution plans for the application over 91% of the time.

Optimal deployment of geographically distributed workflow engines on the cloud

When orchestrating Web service workflows, the geographical placement of the orchestration engine (s) can greatly affect workflow performance. Data may have to be transferred across long geographical distances, which in turn increases execution time and degrades the overall performance of a workflow. In this paper, we present a framework that, given a DAG-based workflow specification, computes the optimal Amazon EC2 cloud regions to deploy the orchestration engines and execute a workflow. The framework incorporates a constraint model that solves the workflow deployment problem, which is generated using an automated constraint modelling system. The feasibility of the framework is evaluated by executing different sample workflows representative of scientific workloads. The experimental results indicate that the framework reduces the workflow execution time and provides a speed up of 1.3x-2.5x over centralised approaches.

Exploiting Significance of Computations for Energy-Constrained Approximate Computing

Approximate execution is a viable technique for environments with energy constraints, provided that applications are given the mechanisms to produce outputs of the highest possible quality within the available energy budget. This paper introduces a framework for energy-constrained execution with controlled and graceful quality loss. A simple programming model allows developers to structure the computation in different tasks, and to express the relative importance of these tasks for the quality of the end result. For non-significant tasks, the developer can also supply less costly, approximate versions. The target energy consumption for a given execution is specified when the application is launched. A significance-aware runtime system employs an application-specific analytical energy model to decide how many cores to use for the execution, the operating frequency for these cores, as well as the degree of task approximation, so as to maximize the quality of the output while meeting the user-specified energy constraints. Evaluation on a dual-socket 16-core Intel platform using 9 benchmark kernels shows that the proposed framework picks the optimal configuration with high accuracy. Also, a comparison with loop perforation (a well-known compile-time approximation technique), shows that the proposed framework results in significantly higher quality for the same energy budget.

Autonomic modification of intestinal smooth muscle contractility

Intestinal smooth muscle contracts rhythmically in the absence of nerve and hormonal stimulation because of the activity of pacemaker cells between and within the muscle layers. This means that the autonomic nervous system modifies rather than initiates intestinal contractions. The practical described here gives students an opportunity to observe this spontaneous activity and its modification by agents associated with parasympathetic and sympathetic nerve activity. A section of the rabbit small intestine is suspended in an organ bath, and the use of a pressure transducer and data-acquisition software allows the measurement of tension generated by the smooth muscle of intestinal walls. The application of the parasympathetic neurotransmitter ACh at varying concentrations allows students to observe an increase in intestinal smooth muscle tone with increasing concentrations of this muscarinic receptor agonist. Construction of a concentration-effect curve allows students to calculate an EC50 value for ACh and consider some basic concepts surrounding receptor occupancy and activation. Application of the hormone epinephrine to the precontracted intestine allows students to observe the inhibitory effects associated with sympathetic nerve activation. Introduction of the drug atropine to the preparation before a maximal concentration of ACh is applied allows students to observe the inhibitory effect of a competitive antagonist on the physiological response to a receptor agonist. The final experiment involves the observation of the depolarizing effect of K+ on smooth muscle. Students are also invited to consider why the drugs atropine, codeine, loperamide, and botulinum toxin have medicinal uses in the management of gastrointestinal problems.