22,042 research outputs found

    Digitized material from "'Shin shinfujin' kaisetsu, sōmokuji, sakuin"

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    Tables of contents and author index for the eight-volume set Shin shin fujin.The Mellon Foundation - Council on East Asian Libraries Innovation Grants for East Asian Librarian

    Poetry Reading: Sun Yung Shin

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    Join us for a poetry reading by Minnesota Book Award winner Sun Yung Shin and discussion on what sanctuary means for the Twin Cities. The event is co-sponsored with the St. Thomas English Department. Sun Yung Shin is the editor of A Good Time for the Truth: Race in Minnesota and the author of two previous poetry/essay collections—Rough, and Savageand Skirt Full of Black (both from Coffee House Press). She is also the co-editor of Outsiders Within: Writing on Transracial Adoption, and the author of bilingual illustrated book for children Cooper’s Lesson. She has received artist grants from the Bush Foundation, the Minnesota State Arts Board, the McKnight Foundation, and the Jerome Foundation. She is teaching or has taught at St. Catherine University, Hamline University, Macalester College, the University of Minnesota, the Perpich Center for Arts Education, Intermedia Arts, Minneapolis public schools, and the Loft Literary Center

    Sun Yung Shin Reading & Conversation

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    Sun Yung Shin was born in Seoul, Korea and was raised in the Chicago area. She is a poet, writer, and cultural worker. She is the editor of What We Hunger For: Refugee and Immigrant Stories on Food and Family (2021) and of A Good Time for the Truth: Race in Minnesota, author of poetry collections The Wet Hex; Unbearable Splendor (finalist for the 2017 PEN USA Literary Award for Poetry, winner of the 2016 Minnesota Book Award for poetry); Rough, and Savage; and Skirt Full of Black (winner of the 2007 Asian American Literary Award for poetry), co-editor of Outsiders Within: Writing on Transracial Adoption, and author of bilingual illustrated book for children Cooper’s Lesson. She lives in Minneapolis where she co-directs the community organization Poetry Asylum with poet Su Hwang

    A case-based approach using inductive indexing for corporate bond rating

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    Case-based reasoning (CBR) is a problem solving technique by re-using past cases and experiences to find a solution to problems. The central tasks involved in CBR methods are to identify the current problem situation, find a past case similar to the new one, use that case to suggest a solution to the current problem, evaluate the proposed solution, and update the system by learning from this experience. In doing tasks, one of the critical issues in building a useful CBR system lies in the application of general domain knowledge to the indexing of cases, which may support the retrieval of relevant cases to the problem. This paper investigates the effectiveness of inductive learning approach to case indexing process for business classification tasks. We suggest this approach as a unifying framework to combine general domain knowledge and case-specific knowledge. Our particular interest involves optimal or near optimal decision trees that represent an optimal combination level between the two knowledge types. The proposed approach is demonstrated by applications to corporate bond rating. (C) 2001 Elsevier Science B.V. All rights reserved

    Multi-body dynamic stress analysis of a crankshaft for V8 engine

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    Comprehensive, accurate and inexpensive way of analyzing a crankshaft in terms of stress has been suggested. Putting deformable crankshaft in analysis, this method takes into account torsional vibration, journal bearing and gas pressure simultaneously giving transient stress values. In opposition to various precedential approaches, the method doesn’t require separate rigid body dynamic analysis and stress analysis. In other words, one single multi-body dynamic analysis including crankshaft, piston, flywheel and torsional damper gives comprehensive stress values considering most of key factors influencing crankshaft stress. As additional results, main bearing reaction forces and journal center orbts were also investigated. A crankshaft for V8 heavy-duty diesel engine was analyzed and evaluated by suggested method

    Optimal signal multi-resolution by genetic algorithms to support artificial neural networks for exchange-rate forecasting

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    Detecting the features of significant patterns from historical data is crucial for good performance in time-series forecasting. Wavelet analysis, which processes information effectively at different scales, can be very useful for feature detection from complex and chaotic time series. In particular, the specific local properties of wavelets can be useful in describing the signals with discontinuous or fractal structure in financial markets. It also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. However, one of the most critical issues to be solved in the application of the wavelet analysis is to choose the correct wavelet thresholding parameters. If the threshold is small or too large, the wavelet thresholding parameters will tend to overfit or underfit the data. The threshold has so far been selected arbitrarily or by a few statistical criteria. This study proposes an integrated thresholding design of the optimal or near-optimal wavelet transformation by genetic algorithms (GAs) to represent a significant signal most suitable in artificial neural network models. This approach is applied to Korean won/US dollar exchange-rare forecasting. The experimental results show that this integrated approach using GAs has better performance than the other three wavelet thresholding algorithms (cross-validation, best basis selection and best level tree). (C) 2000 Elsevier Science Ltd. All rights reserved

    Synthesis of Clock Gating Logic through Factored Form Matching

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    Clock gating is typically dictated by designers in register transfer level (RTL). Automatic synthesis of clock gating in gate level has been less explored, but is certainly more convenient to designers; it can also complement RTL clock gating by extracting additional gating conditions. The key problem in gatelevel clock gating synthesis is to implement gating conditions with minimum amount of additional logic. In this paper, we aim to utilize the existing combinational logic as much as possible. This is done by extracting a factored form (modeled by a factoring tree) of each gating condition, and try to cover the tree by factoring trees of existing combinational logic; the corresponding process is named factored form matching. Experiments demonstrate that the proposed matching achieves 25% reduction in the number of gates to implement gating conditions; this can be compared to prior method using Boolean division, which achieves 10% reduction

    Living Shin

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    In this chapter, the author reflects on the ways that living Shin has enriched her work as a university professor, professional dancer, choreographer, and human being. She first talks about her history in somatic modalities of Ideokinesis, Laban, Keleman, and Hanna Somatics, along with their relation to Shin Somatics and how this work has benefited her professionally and personally. She then describes her applications of somatic knowledge to dance pedagogy, creating choreography, and the teaching and practice of yoga, healing, and wellness at Eastwest Somatics Institute. She also discusses her personal transformative somatic experiences and concludes by sharing key findings and insights that ground her in living Shin.</p
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