• Korean Journal of Acupuncture
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• 제23권4호
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• pp.27-47
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• 2006

Objectives : The aim of this study was to analyze how to treat various symptoms through the combination of Yoelgyoel $(LU_7)$ and Johae $(KI_6)$, according to reviewing the contents and data since Ling Shu (靈樞經) to recent literatures including thirty-five medical books. Methods : It was arranged and considered that the location, needling, and symptoms of each acupoint were described in various literatures before the publication of Chim Kyung Ji Nam (鍼經指南). Through various literature since the Publication of Chim Kyung Ji Nam, it was examined how to be recognized and be referred about Yoelgyoel $(LU_7)$ and Johae $(KI_6)$. Results and Conclusions : The location of Yoelgyoel is the superior 1.5cun at wrist joint striation, medial of extensor carpi radialis longus; the location of Johae is the depression part under foot medial condyle. Yoelgyoel is often used for respiratory organ disease, urinary organ disease, neuopsychiatory disease, musculoskeletal system disease; Johae is often used for urinary organ disease, circulatory organ disease. At Chim Kyung Ji Nam, Yoelgyoel is often used for thoraco-abdominal Pain, gynecological disease, digestive organ disease; Johae is often used for abdominal pain, gynecological disease, digestive organ disease. Therefore, these points are used together for general internal disease. As well, these are not directly continuous with Previous literatures from Chim Kyung Ji Nam. The combination of Yoelgyoel and Johae have been developed to the three categories as follows; it is quoted from as it is; it is reconstructed in the form of song; it has new symptoms enlarged. Consequently, the combination of Yoelgyoel and Johae was not bind to the rule of Up-Bottom harmony (上下配合), but asserted for the rule of Ju-Eng harmony (主應配合), which add specific acupoints to e combination of Yolgyol and Chohae as the complication of the symptoms.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2008년도 정기 학술대회
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• pp.567-572
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• 2008

This paper's purpose is to improve determining of the critical response of curved bridge to multi-component seismic motion. There are several methods to combine responses by multi-component excitation response, 30%, 40% rules and square-root-of-sum (SRSS). These combination rules determine same value of critical response in straight bridges. However, each method has critical response value of different magnitude in curved bridges. Thus a study about critical response of curved bridges is required. This paper presents comparison critical responses value as each combination rule, 30%, 40% rules and SRSS on curved bridges with the different radiuses of curvature. This study was carried out by response spectrum analysis of OO IC steel box girder bridge using SAP2000. It is concluded as follows: 1) In curved bridges, 30% and 40% rules tend to underestimate the critical response relatively to SRSS. 2) When bridges have smaller radiuses than 100m, difference between SRSS and 30% or 40% rules let run errors up as radiuses of curvature decreased.

• 한국경영과학회지
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• 제29권4호
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• pp.41-60
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• 2004

A stream data is a data set that is accumulated to the data storage from a data source over time continuously. The size of this data set, in many cases. becomes increasingly large over time. To mine information from this massive data. it takes much resource such as storage, memory and time. These unique characteristics of the stream data make it difficult and expensive to use this large size data accumulated over time. Otherwise. if we use only recent or part of a whole data to mine information or pattern. there can be loss of information. which may be useful. To avoid this problem. we suggest a method that efficiently accumulates information. in the form of rule sets. over time. It takes much smaller storage compared to traditional mining methods. These accumulated rule sets are used as prediction models in the future. Based on theories of ensemble approaches. combination of many prediction models. in the form of systematically merged rule sets in this study. is better than one prediction model in performance. This study uses a customer data set that predicts buying power of customers based on their information. This study tests the performance of the suggested method with the data set alone with general prediction methods and compares performances of them.

• Structural Engineering and Mechanics
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• 제20권5호
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• pp.527-542
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• 2005

The main objective of this study is to examine the accuracy of the complete quadratic combination (CQC) rule with the modal responses defined by the ordinates of the uniform hazard spectra (UHS) to evaluate the peak responses of the multi-degree-of-freedom (MDOF) systems subjected to nonstationary seismic excitations. For the probabilistic analysis of the peak responses, it is considered that the seismic excitations can be modeled using evolutionary power spectra density functions with uncertain model parameters. More specifically, a seismological model and the Kanai-Tajimi model with the boxcar or the exponential modulating functions were used to define the evolutionary power spectral density functions in this study. A set of UHS was obtained based on the probabilistic analysis of transient responses of single-degree-of-freedom systems subjected to the seismic excitations. The results of probabilistic analysis of the peak responses of MDOF systems were obtained, and compared with the peak responses calculated by using the CQC rule with the modal responses given by the UHS. The comparison seemed to indicate that the use of the CQC rule with the commonly employed correlation coefficient and the peak modal responses from the UHS could lead to significant under- or over-estimation when contributions from each of the modes are similarly significant.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권3호
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• pp.560-574
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• 2011

In this paper, we propose a hybrid method of Machine Learning (ML) algorithm and a rule-based algorithm to implement a lightweight Named Entity (NE) extraction system for Korean SMS text. NE extraction from Korean SMS text is a challenging theme due to the resource limitation on a mobile phone, corruptions in input text, need for extension to include personal information stored in a mobile phone, and sparsity of training data. The proposed hybrid method retaining the advantages of statistical ML and rule-based algorithms provides fully-automated procedures for the combination of ML approaches and their correction rules using a threshold-based soft decision function. The proposed method is applied to Korean SMS texts to extract person's names as well as location names which are key information in personal appointment management system. Our proposed system achieved 80.53% in F-measure in this domain, superior to those of the conventional ML approaches.

• 한국정보처리학회논문지
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• 제5권3호
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• pp.688-702
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• 1998

본 논문에서는 한국어 각 품사별로 형태소 해석 규칙에 대응하는 수화 형태소 생성규칙을 제안한다. 한국어 자연수화는 한국어 자연언어에 비하여 극히 한정된 어휘를 가지며, 문법 요소의 수도 매우 한정적으로 사용되고 있다. 따라서 본 논문에서는 자연스러운 한국어 문장을 대응하는 수화로 변환시키기 위해서 한국어 문법에 대응하는 자연수화 문법을 정의한다. 각 phrase는 한국어 해석 문법과는 별도의 수화 형태소 생성문법을 정의 해야 하며, 이 문법은 형태소 해석/결합 규칙 및 구구조 해석규칙에 적용되고, 이 규칙의 정의로 가장 자연스러운 자연수화를 생성할 수 있게 된다.

• 산업기술연구
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• 제22권A호
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• pp.241-248
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• 2002

In this work, we calculated the vapor-liquid equilibrium of aqueous polymer solutions by using PRSV equation of state combined with $G^{ex}$ mixing rules(HVO, MHVL, MHV2, LCVM). From the comparison of calculated results with experimental data obtained from literature, we found that calculation results by using MHV1 mixing rule have showed small range of error than HVO, MHV2 and LCVM mixing rules. Calculation results by using the combination of MHV1 mixing rule and UNIFAC-FV model have showed the best result for selected aqueous polymer solutions.

• 소성∙가공
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• 제14권4호
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• pp.327-337
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• 2005

In the present work, the two back stress kinematic hardening models are proposed by combining Armstrong-Frederick, Phillips and Ziegler's hardening rules. Simple combination of hardening rules using simple rule of mixtures results in various evolutions of the kinematic hardening parameter. Using the combined hardening models the ultimate back stress fur the present models is also derived. The stress rate is co-rotated with respect to the spin of substructure due to the assumption of kinematic hardening rule in finite deformation regime. The work piece under consideration is assumed to consist of the elastic and the rigid plastic deformation zone. Then, the J2 deformation theory is facilitated to characterize the plastic deformation behavior under various loading conditions. The plastic deformation localization behaviors strongly depend on the constitutive description namely back stress evolution and its hardening parameters. Then, the analysis for Swift's effects under the fixed boundaries in axial directions is carried out using simple shear deformation.

• International Journal of Concrete Structures and Materials
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• 제8권1호
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• pp.27-41
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• 2014

The use of carbon fibers (CF) and glass fibers (GF) were combined to strengthen concrete flexural members. In this study, data of tensile tests of 94 hybrid carbon-glass FRP sheets and 47 carbon and GF rovings or sheets were thoroughly investigated in terms of tensile behavior. Based on comparisons between the rule of mixtures and test data, positive hybrid effects were identified for various (GF/CF) ratios. Unlike the rule of mixtures, the hybrid sheets with relatively low (GF/CF) ratios also produced pseudo-ductility. From the calibrated results obtained from experiments, a new analytical model for the stress-strain relationship of hybrid FRP sheets was proposed. Finally, the hybrid effects were verified by structural tests of concrete members strengthened with hybrid FRP sheets and either carbon or glass FRP sheets.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.120.6-120
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• 2002

This paper presents an application of rule based expert system to GDS. Expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that normally require the abilities of human experts. Expert system can be classified as synthesis expert system, classification expert system or combination of these. The Expert system of GDS belongs to the synthesis type of expert system. GDS is a graphic design environment that automates complex and time consuming processes in the design phase of the grating production. There are methodical procedures in the design phase of gratings and each process needs the know-how of a skillful designer. User has to know...