• Title/Summary/Keyword: 모델 일반화

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Intervention based on Biomechanical Frame of Reference for Balance and Manual Function: a Single Subject Research (생체역학 모델을 통한 균형능력과 상지기능의 중재: 단일대상연구)

  • Kim, Tae-Hoon
    • The Journal of the Korea Contents Association
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    • v.9 no.11
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    • pp.231-239
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    • 2009
  • The purpose of this study was to investigate changes in balance and upper extremity (UE) function associated with reaching training for children with quadriplegic cerebral palsy based on Biomechanical Frame of Reference. The baseline (phase A) lasted one week. The therapeutic protocol consisted of three reaching training (Phase B) for 40 minutes three times a week. Intervention phases lasted 4 weeks. The CMS-70P (Zebris Medizintechnik Gmbh, Germany) was used to evaluate the qualitative changes in UE function and Pediathc Berg Balance Scale was used to test the balance. The observed performance changes seem to be associated with the presence of intervention and suggest that biomechanical training can be a useful intervention to improve not only manual function but also balance.

A Study on Design of Object-oriented Database using UML - IPCS(Intergrated Production Control System) Construction - (UML를 이용한 객체지향 데이터베이스 설계에 관한 연구 - 통합생산관리시스템 구축을 중심으로 -)

  • 이승범;주기세
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.05a
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    • pp.163-167
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    • 1999
  • The relational data model can't be applied to CAD/CAM, CE, and CIM since it can't support the semantic model concept such as complex object, random data definition, manipulation, version control, generalization, aggregation and so on. In this paper, the IPCS(Integrated Production Control System) for hand-rail of ship is parted into several module according to process function. further more, the object oriented data model is designed with UML(Unified Modeling Language). UML is the object oriented design methodology of industrial standard that combines the Booch's methodology, the Rumbaugh's On(Object Modeling Technique), and the Jacobson's OOSE(Object-Oriented Software Engineering) methodology. The efficient management is expected with object-oriented data model construction, since this developed system can achieve efficient process control, system maintenance, repair and extension.

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Disaggregate Demand Forecasting and Estimation of the Optimal Price for UTIS Service (무선교통정보수집제공시스템(UTIS) 서비스의 이용 수요 예측 및 이용료 적정 수준 산정에 관한 연구)

  • Jang, Seok-Yong;Jung, Hun-Young;Ko, Sang-Seon
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.101-115
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    • 2008
  • This study reports UTIS(Urban Traffic Information System), which has been generalized in developed countries through brisk research and development and is being promoted for introduction by National Police Agency and Road Traffic Authority to reduce the astronomical amount of social expenses including traffic congestion expenses. Also this study investigates the proper charges for using by the preestimate of demand and contentment according to methods of payment after the service is introduced. The results of this study are as follows. First, demand forecast model is constructed by Binary Logit Model. Second, forecast models of using aspects of UTIS service according to methods of payment are established by Ordered Probit Model. Third, the proper charges for using of UTIS service according to methods of payment are presented to the supplier in the aspects of users. For this, preferences by using aspects and methods of payment are captured. And unit elasticity of coefficient of utilization is understood through responsiveness analysis according to methods of payment.

Size Effect of Compressive Strength of Concrete for the Non-standard Cylindrical Specimens (비표준형 실린더 공시체에 대한 콘크리트 압축강도의 크기효과)

  • 김진근;어석홍;이성태
    • Magazine of the Korea Concrete Institute
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    • v.9 no.1
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    • pp.105-113
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    • 1997
  • The reduction phenomena of concrete compressive strength with the size of cylinders have been very interested in, but till now the adequate. analysis technique is not fixed. Based on the existing research results. the bigger the member size is, the smaller the strengt.h is. However. the real test ~.csults reveal that the wduction rate becomes blunt and there are considerable differences between size offrct law and real results. The punposc. ofthis paper is to propose tho model equat.ion which covers the compressive strength of' cylinder specimens in case of general hight/dialnetcr ratio in terms of the size effect. he effect of maximum aggregate size on the microcrack zone was also studied, and the model equation was proposed by considering the concept of'the characteristic length. These results will also be used to predict the cornprcssivt. stxngth of various sized concrete cores sampled from existing structures.

Extended GTRBAC Model for Access Control Enforcement in Enterprise Environments (기업환경의 접근제어를 위한 확장된 GTRBAC 모델)

  • Park Dong-Eue;Hwang Yu-Dong
    • Journal of Korea Multimedia Society
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    • v.8 no.2
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    • pp.211-224
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    • 2005
  • With the wide acceptance of the Internet and the Web, volumes of information and related users have increased and companies have become to need security mechanisms to effectively protect important information for business activities and security problems have become increasingly difficult. This paper proposes a improved access control model for access control enforcement in enterprise environments through the integration of the temporal constraint character of the GT-RBAC model and sub-role hierarchies concept. The proposed model, called Extended GT-RBAC(Extended Generalized Temporal Role Based Access Control) Model, supports characteristics of GTRBAC model such as of temporal constraint, various time-constrained cardinality, control now dependency and separation of duty constraints(SoDs). Also it supports unconditional inheritance based on the degree of inheritance and business characteristics by using sub-roles hierarchies in order to allow expressing access control policies at a finer granularity in corporate enterprise environments.

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A Stress-Strain Relationship of Alkali-Activated Slag Concrete (알칼리활성 슬래그 콘크리트의 응력-변형률 관계)

  • Yang, Keun-Hyeok;Song, Jin-Kyu;Lee, Kyong-Hun
    • Journal of the Korea Concrete Institute
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    • v.23 no.6
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    • pp.765-772
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    • 2011
  • The present study summarizes a series of compressive tests on concrete cylinder in order to examine the stressstrain relationship of alkali-activated (AA) slag concrete. The compressive strength and unit weight of concrete tested ranged from 8.6 MPa to 42.2 MPa and from $2,186kg/m^3$ to $2,343kg/m^3$, respectively. A mathematical equation representing the complete stress-strain curve was developed based on test results recorded from 34 concrete specimens. The modulus of elasticity, strain at peak stress, slopes of ascending and descending branches of stress-strain curves were generalized as a function of compressive strength and unit weight of concrete. The mean and standard deviation of the coefficient of variance between measured and predicted curves were 6.9% and 2.6%, respectively. This indicates that the stress-strain relationship of AA slag concrete is represented properly with more accuracy in the proposed model than in some other available models for ordinary portland cement (OPC) concrete.

Microcellular Propagation Loss Prediction Using Neural Networks and 3-D Digital Terrain Maps (신경회로망과 3차원 지형데이터를 이용한 마이크로셀 전파손실 예측)

  • 양서민;이혁준
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.10 no.3
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    • pp.419-429
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    • 1999
  • Identifying the boundary of the effective receiving power of waves is one of the most important factors for cell optimization. In this paper, we introduce a propagation loss prediction model which yields highly accurate prediction in very complex areas as Seoul where a mixture of many large buildings, small buildings, broad streets, narrow alleys, rivers and forests co-exist in an irregular arrangement. This prediction model is based on neural networks trained on field measurement data collected in the past. Using these data along with 3-D digital elevation maps and vector data for building structures, we extract the parameter values which mainly affect the amount of propagation loss. These parameter values are then used as the inputs to the neural network. Trained neural network becomes the approximated function of the propagation loss model which generalizes very well and can predict accurately in the regions not included in training the neural network. The experimental results show a superior performance over the other models in the cells operating in the city of Seoul.

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Development of Game Programming Education Model 4E for Pre-Service Teachers (예비교사를 위한 게임 프로그래밍 교육모델 4E 개발)

  • Sung, Younghoon
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.561-571
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    • 2019
  • Programming education generally includes problem analysis process, automation through algorithms and programming, and generalization process. It is a good software education method for students in improving computing thinking. However, it was found that beginners had difficulties in understanding instruction usage, writing algorithms, and implementing programming. In this study, we developed a game programming education model and curriculum for programming education of pre-service teachers. The 4E model consisted of empathy, exploration, engagement and evaluation. In addition, it is configured to learn game core elements and core command blocks by each stage. To help the pre-service teachers understand the use of various programming blocks, a three-step teaching and learning method was presented, consisting of example learning, self-game creation, and team-based projects. As a result of applying and verifying the curriculum for 15 weeks, it showed significant results in the 4E model and pre-service teachers' perception of block programming competence and the level of computational thinking on the submitted game project results was also high.

Optimization of Turbofan Engine Design Point by using Seven Level Orthogonal Array (7수준 직교배열을 적용한 터보팬 엔진 설계점 최적화)

  • Kim, Myungho;Kim, Youil;Lee, Kwangki;Hwang, Kiyoung;Min, Seongki
    • Journal of the Korean Society of Propulsion Engineers
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    • v.17 no.4
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    • pp.10-15
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    • 2013
  • For design optimization, engineers should require the accurate information of design space and then explore the design space and carry out optimization. Recently, the total design framework, based on design of experiments and optimization, is widely used in industry areas to explore the design space above all. For optimizing turbofan engine design point, the response surface model is constructed by using the 7 level orthogonal array which satisfies the statistical uniformity and orthogonality and gets the dense design space information. The multi-objective genetic algorithm is used to find the optimal solution within the given constraints for finding global optimal one in response surface model. The optimal solution from response surface model is verified with GasTurb simulation result.

Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database

  • Park, Uchang
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.123-131
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    • 2020
  • The pattern query in graph database has advantages of easy query expression and high query processing performance compared to relational database SQL. However, unlike the relational database, the graph database may not utilize the advantages of pattern query depending on modeling because the methodology for building the logical data model is not defined. In this study, in the is-a node modeling method that appears during the graph modeling process, we experiment that there is a difference in performance between graph pattern query when designing with a generalization model and designing with a specialization model. As a result of the experiment, it was shown that better performance can be obtained when the is-a node is designed as a specialization model. In addition, when writing a pattern query, we show that if a variable is bound to a node or edge, performance may be better than that of the variable of not bounded. The experimental results can be presented as an is-a node modeling method for pattern query and a graph query writing method in the graph database.