369,493 research outputs found
Best relays selection method for error-resilient 3-D video transmission
No full textIn color-plus-depth map three-dimensional (3-D) video representation, color and depth map sequences exhibit different error sensitivities to the overall quality. Recognizing that, in this paper, we propose to exploit the relay cooperation benefits to achieve unequal error protection (UEP) for better quality 3-D video transmission. Specifically, we propose to apply the first best amplify-and-forward (AF) relay for transmitting color information with high priority (HP) while the second best AF relay is employed for the depth information with low priority (LP). In particular, we drive closed-form expressions for the bit error probability (BEP). Simulation results of the BEP are
presented to demonstrate the proposed UEP scheme in terms of
the received 3-D video quality
Best Practices in Wireless Emergency Alerts
No full textThis material is based on work funded and supported by Department of Homeland Security and is also available at FirstResponder.gov in the Technology Documents Library. This report presents four best practices for the Wireless Emergency Alerts (WEA) program. These best practices were identified through interviews with emergency management agencies across the United States. The WEA "Go Live" Checklist identifies key steps that an emergency management agency should perform when implementing WEA in a local jurisdiction and provides guidance for completing each action. The WEA Training and Drilling Guide identifies the steps for preparing staff to use WEA and includes suggestions shared by alerting authorities that have implemented WEA. The WEA Governance Guide identifies steps for using or preparing to use WEA to ensure coordination between participating alerting agencies. The WEA Cybersecurity Risk Management (CSRM) Strategy describes a strategy that alert originators can use throughout WEA adoption, operations, and sustainment, as well as a set of governance activities for developing a plan to execute the CSRM. Because best practices will evolve as WEA matures and becomes more widely used, an appendix provides information on how a best practice–driven organization can search for best practices, adapt them to the local context, and adopt them for everyday use
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Best-value in Korean public building construction
No full textAlthough the low-bid system has played a major role in public building construction sector for a long time, this system has arguably delivered work of low quality, an continued and rising number of claims within the industry. With these challenges in mind, the Korean government has sought to examine and possibly adopt best-value procurement as an alternative approach to delivering public building construction projects within Korea. The reality however is that although delivering arguably a number of advantages, best-value does present the government with its own peculiar challenges because of a lack of a precise understanding of what ‘best-value’ means. Hence, in this study, the author seeks to examine the concept of best-value and its application to Korean public building construction. To achieve the stated objectives, the author draws upon extant literature in ‘value’ procurement to critically examine the impact of ‘best-value’ concepts in Korean public building procurement. Data is obtained from a survey of 180 managers involved in the procurement and management of public buildings in Korea. Utilising ‘best-value’ criteria drawn from literature, the author employs Analytic Hierarchy Process (AHP) to weight ‘best-value’ criteria identified through the survey. Based on the results of the AHP exercise, the following are found; (i) value depends on the state of each individual building which can be defined from a ‘need’ perspective, (ii) the primary criteria for ‘best-value’ in Korea public construction projects were ‘serviceability’, ‘safety’, ‘comfort’, ‘environmental friendliness’, ‘economical feasibility’, and ‘artistry’ and finally that (?) the importance of each primary criteria was dependent on the building type
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Evaluating firms’ R&D performance using best worst method
No full textSince research and development (R&D) is the most critical determinant of the productivity, growth and competitive advantage of firms, measuring R&D performance has become the core of attention of R&D managers, and an extensive body of literature has examined and identified different R&D measurements and determinants of R&D performance. However, measuring R&D performance and assigning the same level of importance to different R&D measures, which is the common approach in existing studies, can oversimplify the R&D measuring process, which may result in misinterpretation of the performance and consequently fallacy R&D strategies. The aim of this study is to measure R&D performance taking into account the different levels of importance of R&D measures, using a multi-criteria decision-making method called Best Worst Method (BWM) to identify the weights (importance) of R&D measures and measure the R&D performance of 50 high-tech SMEs in the Netherlands using the data gathered in a survey among SMEs and from R&D experts. The results show how assigning different weights to different R&D measures (in contrast to simple mean) results in a different ranking of the firms and allow R&D managers to formulate more effective strategies to improve their firm's R&D performance by applying knowledge regarding the importance of different R&D measures.Transport and Logistic
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Best-subset Selection for Complex Systems using Agent-based Simulation
No full textIt is difficult to analyze and determine strategies to control complex systems due to their inherent complexity. The complex interactions among elements make it difficult to develop and test decision makers' intuition of how the system will behave under different policies. Computer models are often used to simulate the system and to observe both direct and indirect effects of alternative interventions. However, many decision makers are unwilling to concede complete control to a computer model because of the abstractions in the model, and the other factors that cannot be modeled, such as physical, human, social and organizational relationship constraints. This dissertation develops an agent-based simulation (ABS) model to analyze a complex system and its policy alternatives, and contributes a best-subset selection (BSS) procedure that provides a group of good performing alternatives to which decision makers can then apply their subject and context knowledge in making a final decision for implementation.
As a specific example of a complex system, a mass casualty incident (MCI) response system was simulated using an ABS model consisting of three interrelated sub-systems. The model was then validated by a series of sensitivity analysis experiments.
The model provides a good test bed to evaluate various evacuation policies. In order to find the best policy that minimizes the overall mortality, two ranking-and-selection (R&S) procedures from the literature (Rinott (1978) and Kim and Nelson (2001)) were implemented and compared. Then a new best-subset selection (BSS) procedure was developed to efficiently select a statistically guaranteed best-subset containing all alternatives that are close enough to the best one for a pre-specified probability. Extensive numerical experiments were organized to prove the effectiveness and demonstrate the performance of the BSS procedure.
The BSS procedure was then implemented in conjunction with the MCI ABS model to select the best evacuation policies. The experimental results demonstrate the feasibility and effectiveness of our agent-based optimization methodology for complex system policy evaluation and selection
Best-scoring Maximum Likelihood RAxML Tree
No full textSupplemental Data: Data File D. Best-scoring Maximum Likelihood tree (newick format) resulting from the RAxML phylogenetic analysis of matK DNA sequences for 3,744 legume sequences and 100 outgroup taxa
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