1,720,957 research outputs found
A Support Vector Machine model for due date assignment in manufacturing operations
Get PDFThe relationship between product flow times and manufacturing system status is complex. This limits use of simple analytical functions for job shop manufacturing due date assigning, especially when dealing with orders involving multiple-resource manufacturing systems in receipt of random orders of different process plans. Our approach involves developing a Support Vector Machine classifier to articulate job shop manufacturing due date assigning in heterogeneous manufacturing environments. The emergent model allows not only for the complex relationships between flowtimes and manufacturing system status, but also for the prediction of random order flowtime of manufacturing systems with multiple resources. Our findings also suggest that service levels play a major role in negotiated due dates and eventual customer propensity to place manufacturing orders. In emphasizing negotiated due dates as against exogenous assigned due dates, the study focuses scholarly attention toward the need for participative, open and inclusive due date assignments.</p
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
Evaluating the operational and the environmental benefits of a smart roundabout
No full textVehicle fuel consumption and emission rates in Kuwait have increased considerably over recent decades, and are now causing health and economic problems. A three-lane smart roundabout is a new and innovative design idea that can help to mitigate these issues. The smart roundabout was designed with a dedicated exit lane on the right side of each entryway, and a U-turn path connecting each adjacent entry and exit road. Both features permit vehicles to turn in specific directions without needing to enter the roundabout itself. Underground tunnels were designed for pedestrian and cyclist use. The objective of this study was to measure the impact of a smart roundabout on vehicle fuel consumption and on emissions of carbon dioxide, carbon monoxide, nitrogen oxides, and hydrocarbons. These results were then compared with those of a traditional roundabout and of a light-signalised intersection. Two light-signalised intersections with different traffic volumes were chosen for this study and simulated in their present state, as replaced by traditional roundabouts; and as replaced by smart roundabouts using the SIDRA 6.0 software. The smart roundabout allowed traffic to proceed with minimal delay and idling time, significantly reducing vehicle fuel consumption and emissions in comparison with a traditional roundabout or light-signalised intersection. Furthermore, the smart roundabout allowed pedestrians and cyclists to move safely through the intersection without interacting with vehicular traffic
Human response to soft tissue impact
No full textThis was an exploratory study aimed at measuring the relationships among various Psychophysical ratings of force impacts, tissue temperature outcomes, and tissue deformation as a result of the Energy of impact, Velocity of the impact, the size of the impacting object, Acceleration, and the Force of the impact. Ten volunteers were exposed to a pendulum directed impact to the deltoid area of the arm. The impacts involved three levels of Energy, three levels of Velocity, and three sizes of impacting object (Ball Size) resulting in twenty seven impact treatments to each subject during 14 experimental sessions. Subjects were asked to give a Psychophysical rating after each impact. The pendulum was instrumented to measure Force and Acceleration and was controlled to a desired Energy and Velocity level, by adjusting the mass and height of the starting point. The personal characteristics factors of Age, Gender, Skin-Fold Thickness, deltoid Muscle Thickness, and Bone Thickness were collected and included in the analysis. The dependent measures were the Psychophysical ratings, the maximum temperature change in the impacted area, the area of the impact, and the Deformation of the tissue after 0.01 seconds. This study found that the pendulum Energy was the most important variable associated with the Psychophysical ratings, Temperature Differences, Impact Area, and Deformation. Velocity and Ball Size were also important but to a lesser degree. Each subject personal characteristics were associated with the perception of impact severity. Additionally, the dependent measures were correlated with the measures of Acceleration and Force
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
An Optimization Model for Risk Minimization in Stock Portfolio Selection
No full textStock portfolio selection is a challenging task for investors due to its multidimensional aspects. Investors always aim to maximize the expected return on their investments while maintaining a reasonable level of risk. Therefore, the appropriate choice of stocks is vital to achieving the desired return with minimal risk in financial markets. The objective of this study is to help answer the question of how to invest a specific amount of money across a range of assets in the safest and most effective way to achieve the maximum desired return with the minimum risk. A linear optimization model was developed to minimize overall investment risk, subject to realistic constraints such as the expected total return and investment ratios among different asset categories. To validate the model, a group of well-established securities was selected from various industries in the United Arab Emirates. Historical data spanning five years were collected for each stock category. In this study, stocks were grouped into five categories: construction, transportation, logistics, telecommunications, and banking. The optimization model was solved using Excel Solver with the simplex method. The results showed that the investment proportions satisfied all constraints, the objective function was optimized, and the best stock portfolio was determined. The model can help investors identify optimal portfolio allocations that achieve a target return while minimizing risk
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