1,720,989 research outputs found

    Seeing Cheaply: Flexible Vision for Small Devices

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    An analog local cluster neural net for a 3 V supply

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    Korner T, Sitte J, Rückert U. An analog local cluster neural net for a 3 V supply. In: Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on. IEEE Comput. Soc; 1999: 292-298.The local cluster neural net (LC net) is a feedfoward net suitable for continuous function approximation and discrete classification tasks. All operations of the LC net can be realized in analog circuits. Therefore we implemented the LC net in analog VLSI hardware for a 3 V power supply. Main applications of the LC net are control tasks in autonomous systems that can be battery powered. In this paper we describe the CMOS VLSI realization and present the results of the comprehensive test measurement for characterising the performance of the implementatio

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

    An Analog Current Mode VLSI Local Cluster Neural Net

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    Körner T, Hartmann T, Rückert U, Sitte J. An Analog Current Mode VLSI Local Cluster Neural Net. In: Klar H, König A, Ramacher U, eds. Proceedings of the 6th International Conference on Microelectronics for Neural Networks, Evolutionary and Fuzzy Systems. Dresden, Germany: IEEE; 1997: 257-262

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We 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 bootstrapping method for autonomous and in site learning of generic navigation behaviour

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    Iske B, Rückert U, Malmstrom K, Sitte J. A bootstrapping method for autonomous and in site learning of generic navigation behaviour. In: Pattern Recognition, 2000. Proceedings. 15th International Conference on. Vol 4. IEEE Comput. Soc; 2000: 656-659.To understand the behaviour of natural autonomous systems, research is carried out on artificial autonomous agents. This paper focuses on how simple behaviours can be learnt autonomously using a bootstrapping method. Firstly, a two dimensional Self-Organising Map is realised which provides the agent's sense of orientation. Once this relative positioning system has been established, the agent learns to navigate towards a target using the reinforcement learning technique of Q-Learning. Since only neural network processing is used, this technique emulates the distributed and adaptive information processing found in natural autonomous systems. Furthermore, due to its generality, the neural implementation developed is transferable to other artificial autonomous agents with different sensors and effector suites

    A Low Cost Controller Board for Teaching Robotics

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    This paper presents the Smarty Board; a new micro-controller board designed specifically for the robotics teaching needs of Australian schools. The primary motivation for this work was the lack of commercially available and cheap controller boards that would have all their components including interfaces on a single board. Having a single board simplifies the construction of programmable robots that can be used as platforms for teaching and learning robotics. Reducing the cost of the board as much as possible was one of the main design objectives. The target user groups for this device are the secondary and tertiary students, and hobbyists. Previous studies have shown that equipment cost is one of the major obstacles for teaching robotics in Australia.\ud The new controller board was demonstrated at high-school seminars. In these demonstrations the new controller board was used for controlling two robots that we built. These robots are available as kits. Given the strong demand from high-school teachers, new kits will be developed for the next robotic Olympiad to be held in Australia in 2006.\u

    Dispelling the Myths Behind First-author Citation Counts

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    We 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
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