472 research outputs found

    Evaluation of a prescriptive ventilation standard with regard to 3 different performance indicators

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    In this paper, the performance of Belgian building code compliant residential ventilation systems is evaluated on multiple performance indicators: occupant exposure to bio-effluents, occupant exposure to other use-related pollutants (odours) and occupant exposure to building material emissions. The fitness of the proposed criteria in this context is then discussed in a broader context and this information is then used to interpret the fitness of the code prescriptions as design criteria for performant ventilation systems

    Performance measures for object detection evaluation

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    Cataloged from PDF version of article.We propose a new procedure for quantitative evaluation of object detection algorithms. The procedure consists of a matching stage for finding correspondences between reference and output objects, an accuracy score that is sensitive to object shapes as well as boundary and fragmentation errors, and a ranking step for final ordering of the algorithms using multiple performance indicators. The procedure is illustrated on a building detection task where the resulting rankings are consistent with the visual inspection of the detection maps. (C) 2009 Elsevier B.V. All rights reserved

    Benchmarking national labour market performance: A radar chart approach

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    The radar chart approach is one of a number of special analytical tools that have been developed in connection with benchmarking in the private and public sectors. Although well established as a management tool, the radar chart approach has to our knowledge never been applied to benchmarking labour market performance. This paper assesses the usefulness of the radar chart approach in this policy area. The radar chart approach makes two important contributions: First, it provides a simplified presentation of multiple performance indicators, which is highly intuitive even to non-experts. Second, the surface area, formed by the four (or more) axes, can also be used as a composite performance indicator. -- Der Radar-Chart-Ansatz ist einer von mehreren Analyse-Instrumenten, die speziell fĂŒr das Benchmarking im privaten und öffentlichen Sektor entwickelt worden sind. Als Management-Instrument sehr gebrĂ€uchlich, wurde die Radar- Chart-Methode nach unserer Kenntnis bisher nicht fĂŒr das Benchmarking der LeistungsfĂ€higkeit von ArbeitsmĂ€rkten verwendet. In diesem Beitrag wird die NĂŒtzlichkeit der Radar-Chart-Methode fĂŒr dieses Politikfeld untersucht. Zwei Vorteile des Radar-Chart-Ansatzes stechen ins Auge: Erstens bietet es in einfacher und ĂŒberschaubarer Form die Möglichkeit, mehrere Leistungsindikatoren gleichzeitig darzustellen, die auch fĂŒr Nicht-Experten schnell erfaßbar sind. Zweitens kann die aus mehreren TeilflĂ€chen bestehende GesamtflĂ€che als Gesamtleistungs-Indikator interpretiert werden.

    Servitized SMEs’ performance and the influences of sustainable procurement, packaging, and distribution:The mediating role of eco-innovation

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    The current paper is one of the pioneering studies to specifically analyze the role of both inbound and outbound sustainable supply chain practices (SSCP) of servitized SMEs in a relatively high-risk emerging economy context of Pakistan. Building on Porter's Value Chain Model, this study analyzes the influence of sustainable servitization on multiple performance indicators (including environmental, economic, social, and operational) of servitized SMEs. We further investigate the role of eco-innovation as a mediator. The study employs a time-lagged research design, based on primary data collected from 280 managers of servitized SMEs. We found that sustainable practices positively impact servitized SMEs’ performance, except for sustainable procurement's influence on operational performance. Finally, eco-innovation was found to partially mediate the analyzed inter-relationships.</p

    The Performance Paradox in the Public Sector

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    Administrative reform has led to a strong increase in the use of performance assessment instruments in the public sector. However, this has also led to several unintended consequences, such as the performance paradox, tunnel vision and ‘analysis paralysis’. These unintended consequences can reduce the quality of the knowledge about actual levels of performance, or even negatively affect performance. Examples can be found in all policy sectors. We argue that certain characteristics of the public sector – such as ambiguous policy objectives, discretionary authority of street level bureaucrats, simultaneous production and consumption of services, and the disjunction of costs and revenues – increase the risk of a performance paradox, either unintentionally or deliberately. Performance assessment should therefore take the special characteristics of the public sector into account and develop systems that can handle contested and multiple performance indicators, striking a balance in the degree of ‘meas

    Techno-economic energy models for low carbon business parks

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    To mitigate climate change, global greenhouse gas emissions need to be reduced substantially. Industry and energy sector together are responsible for a major share of those emissions. Hence the development of low carbon business parks by maximising energy efficiency and changing to collective, renewable energy systems at local level holds a high reduction potential. Yet, there is no uniform approach to determine the optimal combination and operation of energy technologies composing such energy systems. However, techno-economic energy models, custom tailored for business parks, can offer a solution, as they identify the configuration and operation that provide an optimal trade-off between economic and environmental performances. However, models specifically developed for industrial park energy systems are not detected in literature, so identifying an existing model that can be adapted is an essential step. In this paper, energy model classifications are scanned for adequate model characteristics and accordingly, a confined number of models are selected and described. Subsequently, main model features are compared, a practical typology is proposed and applicability towards modelling industrial park energy systems is evaluated. Energy system evolution models offer the most perspective to compose a holistic, but simplified model, whereas advanced energy system integration models can adequately be employed to assess energy integration for business clusters up to entire industrial sites. Energy system simulation models, however, provide deeper insight in the system’s operation

    Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline

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    For time series classification task using 1D-CNN, the selection of kernel size is critically important to ensure the model can capture the right scale salient signal from a long time-series. Most of the existing work on 1D-CNN treats the kernel size as a hyper-parameter and tries to find the proper kernel size through a grid search which is time-consuming and is inefficient. This paper theoretically analyses how kernel size impacts the performance of 1D-CNN. Considering the importance of kernel size, we propose a novel Omni-Scale 1D-CNN (OS-CNN) architecture to capture the proper kernel size during the model learning period. A specific design for kernel size configuration is developed which enables us to assemble very few kernel-size options to represent more receptive fields. The proposed OS-CNN method is evaluated using the UCR archive with 85 datasets. The experiment results demonstrate that our method is a stronger baseline in multiple performance indicators, including the critical difference diagram, counts of wins, and average accuracy. We also published the experimental source codes at GitHub (https://github.com/Wensi-Tang/OS-CNN/)

    Assessing the Efficiency of Mother-to-Child HIV Prevention in Low- and Middle-Income Countries using Data Envelopment Analysis

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    AIDS is one of the most significant health care problems worldwide. Due to the difficulty and costs involved in treating HIV, preventing infection is of paramount importance in controlling the AIDS epidemic. The main purpose of this paper is to explore the potential of using Data Envelopment Analysis (DEA) to establish international comparisons on the efficiency implementation of HIV prevention programmes. To this effect we use data from 52 low- and middle-income countries regarding the prevention of mother-to-child transmission of HIV. Our results indicate that there is a remarkable variation in efficiency of prevention services across nations, suggesting that a better use of resources could lead to more and improved services, and ultimately, prevent the infection of thousands of children. These results also demonstrate the potential strategic role of DEA for the efficient and effective planning of scarce resources to fight the epidemic.HIV Prevention; DEA; Mother-to-Child HIV Transmission.
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