1,721,188 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
Transition Fault Diagnosis Using At-Speed Scan Patterns with Multiple Capture Clocks
No full text本論文提出一個電路診斷技術，可以使用多擷取時脈的高速掃描測試圖樣，定位電路中的轉換錯誤。為了快速的找出錯誤可能發生的地方，本論文提出了兩層的搜尋方法。首先，電路將被分成許多的無扇出區域，許多的無扇出區域再被分組成許多的無扇出區域群。此技術使用“X”作為錯誤影響的模型，所以錯誤的大小不會影響診斷的結果。使用Intel 64位元2.0GHz的CPU的機器，對ISCAS’89基準電路所做的實驗顯示，平均而言，使用六個擷取時脈的測試圖樣，所有的轉換電路可以在21秒內被準確的診斷出來。本論文所提出的技術非常適合使用在診斷短延遲錯誤，這是使用單一擷取時脈的慢速掃描測試圖樣所無法診斷出的。This thesis presents a diagnosis technique to locate transition faults using scan patterns with multiple capture clocks which are applied at speed. To quickly locate the candidate faults, a two-level search is proposed. The circuit is first partitioned into fanout-free regions (FFR’s), which are then partitioned into FFR groups. This technique uses the unknown “X” to model the fault effect so the fault size does not affect the diagnosis results. Experiments on ISCAS’89 large benchmark circuits with Intel 64-bit 2.0 GHz CPU show that, on the average, all transition faults are accurately diagnosed in 21 seconds using test patterns of six capture clocks. The proposed technique is suitable for small delay defects that cannot be diagnosed using slow speed scan test patterns with a single capture clock.摘要 ibstract iiable of Contents iiiist of Figures vist of Tables viihapter 1 Introduction 1.1 Motivation 1.2 Proposed Technique and Contribution 3.3 Organization 4hapter 2 Background 5.1 Sequential Fault Simulation 5.1.1 Differential Fault Simulation 6.1.2 Proofs 7.1.3 Hope 10.2 Sequential Diagnosis 16.3 X Fault Model 16hapter 3 Proposed Diagnosis Technique 19.1 Overall Diagnosis Flow 19.2 Preprocessor 20.3 Group Mode FFR Finder 23.4 Single Mode FFR Finder 29.5 Fault Simulator 34.6 Complexity Analysis 38hapter 4 Experimental Results 39.1 Diagnosis Results of Each Phase 42.2 Different Sequential Depths 46.3 Random Fault Sizes 47.4 Slow-to-rise/fall faults 48hapter 5 Discussion 49.1 Design Error Debugging 49.2 Other fault models 49.3 Comparison with Critical Path Tracing 50.4 Diagnosis with Functional Pattern 52.5 Backward Implication 53hapter 6 Summary 54eference 5
Study of Predictor Weighted Importance under Low-Rank Condition
No full text變數重要性 ( Predictor Importance ) 指的是在複迴歸模型中，個別獨立變數對相依變數所發揮的解釋能力，而根據Johnson(2004)對變數重要性的定義，變數重要性同時須考慮獨立變數獨自對相依變數的解釋能力，以及在模型中與其他獨立變數共同解釋時所發揮的解釋能力，然而後者的效果由於獨立變數間往往存在複雜的共線性問題，所以使得變數重要性無法明確地衡量。 在變數重要性的相關文獻中已提出多種評斷變數重要性的方法，但能對共線性問題提出合理解釋與解決方法的目前有兩個主要指標，分別是Budescu(1993)的Dominance Index與Johoson(2000)的Relative Weight，這兩個指標已經經過許多文獻的探討與實例的分析，尤其Dominance Index發展較早，具有明確的解釋意義，被視為變數重要性研究最具參考性指標。 然而目前變數重要性的相關研究，都是樣本數充足的前提下進行討論，也就是假設獨立變數間為線性獨立 ( linear independent ) ，因此本研究的主要目的為分析Dominance Index與Relative Weight在獨立變數間為線性相依下 ( linear dependent )，是否還能夠合理的反映變數重要性，而本文首先將模擬出含有三個獨立變數的線性相依案例，並說明在此模擬案例中合理的變數重要性為何，接著指出幾個Dominance Index 與Relative Weight在獨立變數為線性相依時的不合理之處。 基於Dominance Index與Relative Weight在線性相依案例下皆無法合理反映出變數重要性，本文提出變數加權重要性 ( Predictor Weighted Importance ) 來改進原先變數重要性指標在線性相依案例下之表現，主要概念是將原先之線性相依案例，轉化為多個線性獨立的sub case，計算出各sub case的變數重要性後，再決定各個sub case的計算權重，將各sub case之變數重要性進行加權總合得到變數加權重要性，本文將以此方法建立Weighted Dominance Index與Weighted Relative Weight，並以較複雜之模擬案例及實際案例來進行變數重要性以及使用採用不同模型權重之變數加權重要性的效果比較
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