28 research outputs found

    June 5, 1953, Ohio University Board of Trustees Meeting Minutes

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    Meeting minutes document the activities of Ohio University\u27s Board of Trustees

    Workshop NotesInternational Workshop ``What can FCA do for Artificial Intelligence?'' (FCA4AI 2015)

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    International audienceThis volume includes the proceedings of the fourth edition of the FCA4AI --What can FCA do for Artificial Intelligence?-- Workshop co-located with the IJCAI 2015 Conference in Buenos Aires (Argentina). Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications) which can be used for many AI needs, e.g. knowledge discovery, learning, knowledge representation, reasoning, ontology engineering, as well as information retrieval and text processing. There are many ``natural links'' between FCA and AI, and the present workshop is organized for discussing about these links and more generally for improving the links between knowledge discovery based on FCA and knowledge management in artificial intelligence

    Mustang Daily, February 4, 1983

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    Student newspaper of California Polytechnic State University, San Luis Obispo, CA.https://digitalcommons.calpoly.edu/studentnewspaper/4133/thumbnail.jp

    Conceptual knowledge acquisition in biomedicine: A methodological review

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    AbstractThe use of conceptual knowledge collections or structures within the biomedical domain is pervasive, spanning a variety of applications including controlled terminologies, semantic networks, ontologies, and database schemas. A number of theoretical constructs and practical methods or techniques support the development and evaluation of conceptual knowledge collections. This review will provide an overview of the current state of knowledge concerning conceptual knowledge acquisition, drawing from multiple contributing academic disciplines such as biomedicine, computer science, cognitive science, education, linguistics, semiotics, and psychology. In addition, multiple taxonomic approaches to the description and selection of conceptual knowledge acquisition and evaluation techniques will be proposed in order to partially address the apparent fragmentation of the current literature concerning this domain

    A Sustainable Cold Mix Asphalt Mixture Comprising Paper Sludge Ash and Cement Kiln Dust

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    Concerns about the environment, the cost of energy, and safety mean that low-energy cold-mix asphalt materials are very interesting as a potential replacement for present-day hot mix asphalt. The main disadvantage of cold bituminous emulsion mixtures is their poor early life strength, meaning they require a long time to achieve mature strength. This research work aims to study the protentional utilization of waste and by-product materials as a filler in cold emulsion mixtures with mechanical properties comparable to those of traditional hot mix asphalt. Accordingly, cold mix asphalt was prepared to utilize paper sludge ash (PSA) and cement kiln dust (CKD) as a substitution for conventional mineral filler with percentages ranging from 0–6% and 0–4%, respectively. Test results have shown that the incorporation of such waste materials reflected a significant improvement in the mixture’s stiffness and strength evolution. The cementitious reactivity of PSA produces bonding inside the mixtures, while CKD is used as an additive to activate the hydration process of PSA. Therefore, based on the results, it will be easier to build cold mixtures by shortening the amount of time needed to reach full curing conditions

    The Paducah Evening Sun, January 31, 1908

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    Avion 1982-11-03

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    https://commons.erau.edu/avion/1813/thumbnail.jp

    Characterizing car to two-wheeler residual crashes in China: Application of the automatic emergency braking system in virtual simulation

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    The fast development of vehicles not only benefits people’s life, but also threatens people’s health in the road traffic. The Automatic Emergency Braking (AEB) system is one effective active safety system in saving lives on the road. This study proposed one AEB algorithm and it was implemented to car-to-two-wheeler crashes to evaluate the performance of the AEB and to analyze the characteristics of the remaining crashes. The algorithm was based on comfort braking and steering limits of car drivers and two-wheeler drivers, and the algorithm simulation was composed of the future path prediction of both vehicles, the braking maneuver and the steering maneuver of car drivers and two-wheeler drivers. The simulation of the future path prediction was used to check whether the car and the two-wheeler was on the collision course and the braking and steering maneuvers were to assess the collision avoidance ability of both drivers. The proposed algorithm was triggered only when the collision danger was detected and both drivers could not avoid the collision by steering or braking on their own. The reference algorithm, which utilized the vehicle braking limitation and did not involve the collision avoidance ability of the drivers, was only applied to compare the effectiveness in collision avoidance. Both AEB algorithms were implemented to the pre-crash-matrix (PCM) of the China Shanghai United Road Traffic Scientific Research Center (SHUFO) crash data. It was found that the proposed algorithm was triggered later than the reference algorithm in about 50% of cases. For these cases, the drivers may feel unnecessary to activate the AEB when the reference algorithm was triggered, as they were still able to avoid the collision by their own action or by the action of the collision partner. To evaluate the injury mitigation, one available motorcyclist injury model from previous research was used in the study. The injury mitigation was studied based on the three levels of injury: MAIS2+F, MAIS3+F and fatal injury. The results indicated that the effectiveness in injury mitigation for fatal injury is around 60% and for MAIS2+F and MAIS3+F, around 50% after the proposed AEB implementation. The proposed algorithm is applicable to all types of scenarios. The crash data was classified into nine types of scenarios and the simulation results showed that the effectiveness of the proposed AEB algorithm in collision avoidance varied across scenarios. Residual crashes have a higher proportion of the straight moving car scenario compared to the turning car scenario. This finding related to unavoidable crashes by the proposed AEB algorithm involving cars travelling at high speed

    Maine Alumnus, Volume 34, Number 2, November 1952

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    Contents: Go South, Young Man... Russell V. Waterhouse --- The College of Agriculture at Workhttps://digitalcommons.library.umaine.edu/alumni_magazines/1444/thumbnail.jp
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