• Title/Summary/Keyword: Standard support pattern

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A study on the Method in Developing Economic Design Models(idea) Responding to the Differentiation of Household Flexibly (가구분화에 유동적으로 대응하는 경제적인 디자인모델(안) 개발 방안 연구)

  • Yang, Jeong-Seon
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2009.11a
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    • pp.146-150
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    • 2009
  • Present family pattern of Korean society has been changed into nuclear family pattern based on the married couple from traditional expanded family pattern. As the entire social consciousness has been changed into private disposition, the number of independent household for 1 person has increases. Also, as the delivery age of first child became late according to the elongation of average period for the national education, the increment of average age for the first marriage and women's participation in the society, the family pattern of married couple lasts longer than used to be. Like this, considering the family formed period comprised from a household for 1 person to a household for 1married couple and senescence increase, as any response is inevitable for the requirement of residential space where 1~2 dwellers' life can be accepted economic and functionally within smaller scaled space, development and research on a plan system(flexible-typed plan) increasing the degree of freedom is required in developing plan of unit household. In the study for this, considering the change of population and social structure, I suggest the method in developing economic design responding to the differentiation, designing the change of support-system and infill-system based on the systemic comprehension about the residing environment in the family formation period and the research for main life pattern and residing environment in the family formation period in the present city life. I will set (family) composing system, develop basic and mixing typed standard model and establish the stage of applied development for the development of economic design.

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Algorithmic GPGPU Memory Optimization

  • Jang, Byunghyun;Choi, Minsu;Kim, Kyung Ki
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.4
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    • pp.391-406
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    • 2014
  • The performance of General-Purpose computation on Graphics Processing Units (GPGPU) is heavily dependent on the memory access behavior. This sensitivity is due to a combination of the underlying Massively Parallel Processing (MPP) execution model present on GPUs and the lack of architectural support to handle irregular memory access patterns. Application performance can be significantly improved by applying memory-access-pattern-aware optimizations that can exploit knowledge of the characteristics of each access pattern. In this paper, we present an algorithmic methodology to semi-automatically find the best mapping of memory accesses present in serial loop nest to underlying data-parallel architectures based on a comprehensive static memory access pattern analysis. To that end we present a simple, yet powerful, mathematical model that captures all memory access pattern information present in serial data-parallel loop nests. We then show how this model is used in practice to select the most appropriate memory space for data and to search for an appropriate thread mapping and work group size from a large design space. To evaluate the effectiveness of our methodology, we report on execution speedup using selected benchmark kernels that cover a wide range of memory access patterns commonly found in GPGPU workloads. Our experimental results are reported using the industry standard heterogeneous programming language, OpenCL, targeting the NVIDIA GT200 architecture.

Fuzzy Support Vector Machine for Pattern Classification of Time Series Data of KOSPI200 Index (시계열 자료 코스피200의 패턴분류를 위한 퍼지 서포트 벡타 기계)

  • Lee, S.Y.;Sohn, S.Y.;Kim, C.E.;Lee, Y.B.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.1
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    • pp.52-56
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    • 2004
  • The Information of classification and estimate about KOSPI200 index`s up and down in the stock market becomes an important standard of decision-making in designing portofolio in futures and option market. Because the coming trend of time series patterns, an economic indicator, is very subordinate to the most recent economic pattern, it is necessary to study the recent patterns most preferentially. This paper compares classification and estimated performance of SVM(Support Vector Machine) and Fuzzy SVM model that are getting into the spotlight in time series analyses, neural net models and various fields. Specially, it proves that Fuzzy SVM is superior by presenting the most suitable dimension to fuzzy membership function that has time series attribute in accordance with learning Data Base.

Design and Implementation of an Efficient C++ Code Generator based on UML Class Diagram (UML 클래스 다이어그램 기반의 효율적인 C++코드 생성기의 설계와 구현)

  • Cho, Hyung-Ju;Chung, Chin-Wan;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.4
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    • pp.393-402
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    • 2000
  • The Unified Modeling Language(UML) became the standard object oriented modeling language approved by Object Management Group(OMG). However, C++ codes which are generated by some CASE tools supporting UML do not reflect the correct semantics of one-to-many relationship and aggregation relationship. Additionally, since the commercial CASE tools support too many programming languages on one UML class diagram, they do not support efficiently the characteristics of C++ language. Our C++ code generator supports one-to-many relationship, aggregation relationship, code patterns and design patterns. In this paper, we describe design and implementation of the efficient C++ code generator based on UML class diagram.

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An Action Pattern Analysis System of the Embedded Type about Network Users (네트워크 사용자에 대한 임베디드형 행동패턴 분석시스템)

  • Jeong, Se-Young;Lee, Byung-Kwon
    • The KIPS Transactions:PartA
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    • v.17A no.4
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    • pp.181-188
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    • 2010
  • In this study, we suggest the system to analyze network users' action patterns by using Data-Mining Technique. We installed Network Tap to implement the analysis system of network action and copied the network packet. The copied packet is stored at the database through MainMemoryDB(MMDB) of the high-speed. The stored data analyze the users' action patterns by using Data-Mining Technique and then report the results to the network manager on real-time. Also, we applied the standard XML document exchange method to share the data between different systems. We propose this action pattern analysis system operated embedded type of SetToBox to install easily and support low price.

Analyzing the Relevancy of Policy by Abnormal Pattern Analysis : Focused on the Case of S-City's e-Card for Child Meal Support (이상 패턴 분석을 통한 정책의 적합성 분석 연구 : S 시의 아동 급식 전자 카드 사례를 중심으로)

  • Jeon, Jongshik;Kwon, Ohbyung
    • Journal of Information Technology Services
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    • v.17 no.1
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    • pp.135-153
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    • 2018
  • E-Card Service for Child Nutrition Program is one of the main public policy services nowadays. In case of inconvenience during the use of the e-cards, it is recommended to cooperate with related organizations in order to promptly handle and provide guidance, and thoroughly manage child feeding service such as hygiene, nutrition and kindness etc. To do so, it is very important to provide food service that meets local actual conditions and children's needs in a cost effective manner for the underage who are worried about the poorly-fed by understanding the pattern of child feeding e-card service. Hence. this paper aims to investigate how child feeding e-card service efficiently provides meals according to the local situation and children's needs through big data analysis and to propose a method of identifying welfare conditions according to the purpose of service with actual application examples. The results suggest that, first of all, this study is able to judge appropriateness of public institution's policy in a timely and repetitive manner through non-standard data analysis such as Naver News and transaction data. Secondly, this paper proposes a multi-layered analysis framework, which performs online open data analysis to detect policy issues, visualizes retrieval and preprocessing of real data, and performs abnormal pattern recognition. These will be worthy of reference to other similar projects.

Study on the analyze brassiere pattern by brand

  • Park, You-Shin;Choi, Young-Soon
    • Journal of Fashion Business
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    • v.10 no.6
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    • pp.122-130
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    • 2006
  • The purpose of this study is to develop the appropriate brassiere pattern for women. Total of 6 brands with same design and 75A, 80A size brassieres(total 12 brassieres) were compared and analyzed for pattern, cup size and patterns. SPSS 10.1 statistic process was used for data analysis. The outcom of this study is summarized as follows. Total length of brassiere by grade were performed smaller than the standard difference 5cm. For 1/2 front cover length, There were no significant differences between 75 and 80. The reason for lower line of wing is shorter than upper line of wing is because side support is cut side ways considering lower line of wing is sewn more toward front than upper line of wing. Even it is same A cup size most cup related sizes become larger according to underbust comparing with cup capacity, they range from 146.67cc to 172.83cc for same A cups. Among same A cups with difference underbust there was average of 26.16cc differences. For relations of material, sewing technology and expansion rate, all 6 brands had zigzag type sewing for upper line tape. For every 0.3cm height, there were $17{\sim}21$ stitches. When urethane mixture is similar expansion rate is higher while number of 1 inch zigzag are high. For elasticity, zigzag stitch expand side ways for more expansion.

Estimating Regression Function with $\varepsilon-Insensitive$ Supervised Learning Algorithm

  • Hwang, Chang-Ha
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.2
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    • pp.477-483
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    • 2004
  • One of the major paradigms for supervised learning in neural network community is back-propagation learning. The standard implementations of back-propagation learning are optimal under the assumptions of identical and independent Gaussian noise. In this paper, for regression function estimation, we introduce $\varepsilon-insensitive$ back-propagation learning algorithm, which corresponds to minimizing the least absolute error. We compare this algorithm with support vector machine(SVM), which is another $\varepsilon-insensitive$ supervised learning algorithm and has been very successful in pattern recognition and function estimation problems. For comparison, we consider a more realistic model would allow the noise variance itself to depend on the input variables.

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Design of MPEG-2 Video Decoder Compliance Test Bitstreams (MPEG-2 비디오 디코더 적합성 검사용 비트열의 제작)

  • Kim, Chul-Min;Lee, Byung-Uk;Park, Rae-Hong
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.10
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    • pp.83-93
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    • 1999
  • In MPEG-2 video standard, there are many parameters to support profiles and levels. It is necessary to verify that a decoder is compliant with the MPEG-2 standard. This paper proposes a design principle of the test bitstreams which confirms that an MPEG video decoder is correct by observing the final image of the decoder under test. The presented test bitstream is composed of two parts. The first part generates a test pattern by varying a selected test parameter. And the following predictive coded picture generates a complementary pattern to the previous image by motion compensation and DCT coefficients. Then it will result in a uniform pattern. We present several bitstreams following the proposed principle. Also we analyze and compare the characteristics of the test bitstreams presented in the MPEG conformance test and the proposed test bistreams.

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Stability Analysis of Highway Tunnel and Railway Tunnel According to Section Shape (단면형상 차이에 따른 고속도로 터널과 철도터널의 안정성 분석)

  • Kim, Jae-Kyoung;Lee, Bum-Jun;Lee, Song
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.13 no.4 s.56
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    • pp.107-115
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    • 2009
  • The number of railway tunnel design is increasing recently compare to a great number of highway tunnel design which had increased with a lot of highway construction in the 70's and 80's. Therefore, there is more or less difference of time between highway tunnel and railway tunnel. In this paper, numerical analysis on two kinds of tunnels, such as two-forked road highway ventilation tunnel and double track railway tunnel with 4.3m of center line, in cases of with support materials condition and without support materials condition were conducted. Finally, stability of two kinds of tunnels were compared and analyzed through comparing of principal stresses and deviator stresses in the near base rock of tunnels using results of numerical analysis.