1,721,117 research outputs found
Development of a telehealth system for respiratory and sleep medicine in rural South Australia and Northern Territory
No full textNg J, Mcguirk M, Holmes-Liew C, Antic
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Using feedback to improve VLSI designs
No full textVLSI HLS design is a typical design optimization problem with a focus on generating good solutions. Typical expert design systems incorporate a large amount of domain knowledge to generate good initial solutions. These systems are unable to use information gleaned from analysis of the solutions (feedback)to generate better solutions. This paper describes a new technique called Constrained-Redo that uses feedback to improve both the power and coverage of an existing design system, the DAA system.Technical report hpcd-tr-2
Feedback directed optimization
No full textOptimization is a very important part of the design process. There are few design problems where concerns for either cost, quality, design time, etc., are not important. A great deal of time and design effort is spent on determining how to generate a solution that is optimized for a particular set of criteria, e.g., cost or time. However, optimization remains an ill-understood part of the process in many design problems. This thesis describes an innovative approach towards finding good solutions, i.e., optimized solutions, by using information about interactions between components (local interactions) gleaned from earlier solutions. The approach is called Feedback Directed Optimization (FDO). FDO is an iterative design approach based on the assumption that information about local interactions between solution components are essential towards being able to converge on good solutions to resource optimization problems. The approach includes techniques for (1) credit-blame assignment to determine where local interactions occur that might have been overlooked by the problem solver (2) controlling the problem solver on subsequent iterations to generate better solutions. These techniques have been developed and tested on several problem solvers in multiple domains. In addition, we have analysed the approach and have developed a prescriptive framework whereby new and existing problem solvers can use our techniques.Technical report HPCD-TR-1
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The FAD Project
No full textDesign is much easier when the design problem can be decomposed into small pieces that can be solved independently and then easily combined to form a solution. However, when the design goals include limiting overall usage of some resources, e.g. for a digital circuit limits on computation time or silicon area, interactions often arise which make it difficult to determine what effect some decision about a small piece of an artifact will have on the overall quality of the solution. Thus decomposition becomes impossible and, if the problem is too large to handle by exhaustive search, finding a good solution is very hard.
We have focussed our attention primarily on the task of High-Level Synthesis (HLS) of VLSI digital circuits - the process of converting a computation specified in a language much like a programming language into a register-transfer level description of a circuit to carry out this computation. Real problems in this domain involve not just producing functionally correct circuits, but also circuits that use limited amounts of time and silicon area, and perhaps also limited power. They are often very large and complex problems, and require many decisions, and many kinds of decisions, to be made before a solution is generated. The space of possible solutions is therefore very large and it is not feasible to examine all possible solutions. Thus, this domain is a good example of problems where global interactions due to multiple resource constraints combine with a large search space to make design hard.
The standard approach taken by current programs which do HLS is to none the less treat groups of decisions as if they were independent, and to use a heuristic function to estimate how good a proposed partial solution is. Unfortunately, these heuristics are not good enough (and as we will discuss below {em cannot} be good enough) to produce designs competitive with those of human designers.
This paper describes a new approach we have developed for solving such problems, which we call {em Feedback Aided Design} (FAD). Since we can only really tell how good a design is when it is complete, our approach essentially does a {em search in the space of complete designs.} However, each step we make in this space is not made by directly perturbing the previous design. Rather, we design a complete circuit using standard methods, analyze it to propose a few key decisions which should have been made differently than they were, and rerun the standard design methods with the added constraints on how these specific decisions are to be made. Thus, we wrap the standard
methods in an outer loop which runs them, analyzes the resulting circuit, and produces constraints which are the used as feedback to guide the next iteration of design. Our approach does not require additional software to ensure the correctness of the final solution, a requirement that would be needed if our search entailed direct modification of the design.
Although our approach depends strongly on domain knowledge to do the analysis, we believe our framework gives important guidance as to what domain knowledge is needed and how a system can be structured to use it. We believe this framework should transfer to a number of important domains besides High-Level Synthesis.
The approach is being implemented in the FAD System. This work is part of the CAP (Computer Aided Productivity) Project, a long term research effort in the Laboratory for Computer Science Research at Rutgers University aimed at modelling the design process and developing knowledge-based design systems for a spectrum of design domains.Technical report CAP-TR-1
- …
