1,721,198 research outputs found
스킨의 전기적 성질을 사용하는 인간사이에 존재하는 터치를 검출하기 위한 시스템과 방법
No full textDisclosed herein is an accurate and efficient, yet non-obtrusive system and method (using same) for detecting interpersonal touch, such as a high-five, which is prevalent in people's daily lives, so as to promote everyday interactions at diverse settings. Based on ubiquitous computing technology, one embodiment of the system for detecting interpersonal touch comprises a pre-motion filter for filtering a pre-motion prior to the interpersonal touch, a sensor for sensing electrical properties of skin, an evaluator for analyzing and determining the interpersonal touch based on the pre-motion and the electrical properties of skin, and a communicator for communicating information analyzed by the evaluator. Other embodiments are described and shown
Fight deck human-automation mode confusion detection using a generalized fuzzy hidden Markov model
No full textDue to the need for aviation safety, convenience, and efficiency, the autopilot has been introduced into the cockpit. The fast development of the autopilot has brought great benefits to the aviation industry. On the human side, the flight deck has been designed to be a complex, tightly-coupled, and spatially distributed system. The problem of dysfunctional interaction between the pilot and the automation (human-automation interaction issue) has become more and more visible. Thus, detection of a mismatch between the pilot\u27s expectation and automation\u27s behavior in a timely manner is required. In order to solve this challenging problem, separate modeling of the pilot and the automation is necessary. In this thesis, an intent-based framework is introduced to detect the human-automation interaction issue. Under this framework, the pilot\u27s expectation of the aircraft is modeled by pilot intent while the behavior of the automation system is modeled by automation intent. The mode confusion is detected when the automation intent differs from the pilot intent. The pilot intent is inferred by comparing the target value set by the pilot with the aircraft\u27s current state. Meanwhile, the automation intent is inferred through the Generalized Fuzzy Hidden Markov Model (GFHMM), which is an extension of the classical Hidden Markov Model. The stochastic characteristic of the ``hidden\u27\u27 intents is considered by introducing fuzzy logic. Different from the previous approaches of inferring automation intent, GFHMM does not require a probabilistic model for certain flight modes as prior knowledge. The parameters of GFHMM (initial fuzzy density of the intent, fuzzy transmission density, and fuzzy emission density) are determined through the flight data by using a machine learning technique, the Fuzzy C-Means clustering algorithm (FCM). Lastly, both the pilot\u27s and automation\u27s intent inference algorithms and the mode confusion detection method are validated through flight data
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
A graph based algorithm for adaptable dynamic airspace configuration for NextGen
No full textThe National Airspace System (NAS) is a complicated large-scale aviation network, consisting of many static sectors wherein each sector is controlled by one or more controllers. The main purpose of the NAS is to enable safe and prompt air travel in the U.S. However, such static configuration of sectors will not be able to handle the continued growth of air travel which is projected to be more than double the current traffic by 2025. Under the initiative of the Next Generation of Air Transportation system (NextGen), the main objective of Adaptable Dynamic Airspace Configuration (ADAC) is that the sectors should change to the changing traffic so as to reduce the controller workload variance with time while increasing the throughput. Change in the resectorization should be such that there is a minimal increase in exchange of air traffic among controllers. The benefit of a new design (improvement in workload balance, etc.) should sufficiently exceed the transition cost, in order to deserve a change. This leads to the analysis of the concept of transition workload which is the cost associated with a transition from one sectorization to another. Given two airspace configurations, a transition workload metric which considers the air traffic as well as the geometry of the airspace is proposed. A solution to reduce this transition workload is also discussed. The algorithm is specifically designed to be implemented for the Dynamic Airspace Configuration (DAC) Algorithm. A graph model which accurately represents the air route structure and air traffic in the NAS is used to formulate the airspace configuration problem. In addition, a multilevel graph partitioning algorithm is developed for Dynamic Airspace Configuration which partitions the graph model of airspace with given user defined constraints and hence provides the user more flexibility and control over various partitions. In terms of air traffic management, vertices represent airports and waypoints. Some of the major (busy) airports need to be given more importance and hence treated separately. Thus the algorithm takes into account the air route structure while finding a balance between sector workloads. The performance of the proposed algorithms and performance metrics is validated with the Enhanced Traffic Management System (ETMS) air traffic data
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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