• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.1148-1152
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• 1987

This paper analyzes the statistical and scientific entity-aspect model for statistical and scientific databases(SSDB's). The statistical and scientific entity-aspect model(SEAM) is defined an example of the application of the statistical and scientific entity-aspect model is represented. Finally, the statistical and scientific entity-aspect model as a design tool for SSDB is evaluated and the further research areas are suggested.

• Earthquakes and Structures
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• 제7권5호
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• pp.705-718
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• 2014

This paper presents an analytical model for determining the transverse reinforcement required for reinforced concrete exterior beam-column joints subjected to reversed cyclic loading. Although the joint aspect ratio can affect joint shear strength, current design codes do not consider its effects in calculating joint shear strength and the necessary amount of transverse reinforcement. This study re-evaluated previous exterior beam-column joint tests collected from 11 references and showed that the joint shear strength decreases as the joint aspect ratio increases. An analytical model was developed, to quantify the transverse reinforcement required to secure safe load flows in exterior beam-column joints. Comparisons with a database of exterior beam-column joint tests from published literature validated the model. The required sectional ratios of horizontal transverse reinforcement calculated by the proposed model were compared with those specified in ACI 352R-02. More transverse reinforcement is required as the joint aspect ratio increases, or as the ratio of vertical reinforcement decreases; however, ACI 352R-02 specifies a constant transverse reinforcement, regardless of the joint aspect ratio. This reevaluation of test data and the results of the analytical model demonstrate a need for new criteria that take the effects of joint aspect ratio into account in exterior joint design.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1973-1993
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• 2022

Model-driven engineering (MDE) and aspect-oriented software development (AOSD) contribute to the common goal of development of high-quality code in reduced time. To complement each approach with the benefits of the other, various methods of integration of the two approaches were proposed in the past. Aspect-oriented code generation, which targets obtaining aspect-oriented code directly from aspect models, offers some unique advantages over the other integration approaches. However, the existing aspect-oriented code generation approaches do not comprehensively address all aspects of a model-driven code generation system, such as a textual representation of graphical models, conceptual mapping, and incorporation of behavioral diagrams. These problems limit the worth of generated code, especially in practical use. Here, we propose AJFCode, an approach for aspect-oriented model-driven code generation, which comprehensively addresses the various aspects including the graphical models and their text-based representation, mapping between visual model elements and code, and the behavioral code generation. Experiments are conducted to compare the maintainability and reusability characteristics of the aspect-oriented code generated using the AJFCode with the most comprehensive object-oriented code generation approach. AJFCode performs well in terms of all metrics related to maintainability and reusability of code. However, the most significant improvement is noticed in the separation of concerns, coupling, and cohesion. For instance, AJFCode yields significant improvement in concern diffusion over operations (19 vs 51), coupling between components (0 vs 6), and lack of cohesion in operations (5 vs 9) for one of the experimented concerns.

• 한국농공학회논문집
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• 제48권3호
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• pp.85-94
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• 2006

Practially useful method of steel fiber for construction work is presented in this study. The most important purpose of this study is to develop a model which can predict mechanical behavior of the structure according to aspect ratio and volume fraction of steel fiber. Experiments on compressive strength, elastic modulus, and splitting strength were performed with self-made cylindrical specimens of variable aspect ratios and volume fractions. The experiment showed that compressive strength was not in direct proportion to volume fraction which doesn't seem to have great influence over compressive strength. However, splitting strength showed almost direct proportion to aspect ratio and volume fraction. Improvement of optimal efficiency was confirmed when the aspect ratio was 70. Experiments on flexural strength, fracture energy, and characteristic length were carried out with self-manufactured beams with notch. As a result, increases of flexural strength, fracture energy, and characteristic length according to increase of volume fraction tend to be prominent when aspect ratio is 70. The steel fiber improves concrete to be more ductile and tough. Moreover, regression analysis was the performed and predictable model was developed after determining variables. With comparison and analysis of suggested estimated values and measured data, reliance of the model was verified.

• 한국경영과학회지
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• 제14권2호
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• pp.27-42
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• 1989

REA 모델은 EA 모델의 구성요소인 측면을 역할측면, 연산측면, A-PART-OF 측면, IS-A 측면, 속송측면 등의 5개 측면으로 분류한 모델이다. EATPS 는 사용자 인터페이스모듈, 지식생성 모듈, 인스턴스 관리 모듈, 스키마 구조관리 모듈, 무걸성검사 모듈등의 5개 모듈로 구성된 지능적 지식표현 시스템의 REA 모델에 의해 대화식 (interactive) 으로 생성하고 관리한다. 본눈문에서는 EATPS 의 구성과 기능, 지식 정의언어인 EAKDL 의 구조및 대화식 형성, 지식생성 모듈의 구성과 기넝, 클래스 생성 모듈의 기능과 알고리즘, 그리고 상속추론메카니즘을 도입한 생성모듈의 기능 및 알고리즘을 제시하였다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (1)
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• pp.247-249
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• 2004

본 논문에서는 aspect model을 이용한 차원 축소 기반의 유전자 발현 데이터 분석을 제시한다. Aspect model은 은닉변수모델의 하나로서, 이를 이용하여 유전자 발현 데이터에 대한 확률적 학습 과정을 통해 특징적 발현 패턴을 추출할 수 있다. 또한 모델로부터 커널함수를 유도함으로써 발현패턴에 기반한 유전자간의 유사도를 자연스럽게 측정할 수 있다. 모델에 의해 정의되는 은닉공간 차원 수는 데이터 permutation 기반의 검증을 통해 결정한다. 효모 (yeast)의 세포 주기(cell cycle) 관련 발현데이터네 대한 실험에서, 주기별 특징 발현 패턴을 추출할 수 있었다. 또한 aspect model로부터 유도된 커널 기반의 유사도 척도를 이용함으로써, 동일 기능 또는 동일 complex 범주에 속하는 유전자 쌍 예측에서 기본적인 상관계수에 의한 방법에 비해 보다 향상된 성능을 얻을 수 있었다.

• 한국의류학회지
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• 제25권7호
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• pp.1227-1238
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• 2001

This study was based on social comparison theory, and the covariance structure model was designed, connecting sociocultural attitude, multifaceted body image, and clothing behaviour under sociocultural influence. The practical purpose of this study is to identify the effect of sociocultural attitude toward physical appearance on the affective aspect of body images, the cognitive/behavioral aspect of body images and clothing benefits sought, and to examine the age difference in the female adolescents. The results of this were as follows: 1) Sociocultural attitude toward physical appearance had a negative effect directly on the affective aspect of body images, and showed the highest value in the group of high school girls 2) Sociocultural attitude toward physical appearance had a positive influence directly on the cognitive/behavioral aspect of body images, and high school girls'model showed the highest values significantly as well 3) High school girls'model showed the highest value significantly in the effect of the affective aspect of body images on the cognitive/behavioral aspect of body images. However, college group's model didn's show significant value 4) Middle school girls'model showed higher value positively than the other groups in the effect of the cognitive/behavioral aspect of body images on clothing benefits sought, and the high school girls' model showed higher value negatively in the effect of the affective aspect of body images on clothing benefits sought.

• 수산해양기술연구
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• 제46권3호
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• pp.248-256
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• 2010

Acoustic side-aspect target strength (TS) of living Japanese anchovy (Engraulis japonicus) was measured at 120kHz during in situ experiments. The data were collected by lowering and horizontally projecting the splitbeam transducer into the anchovy school. For analysis and interpretation of the side-aspect TS data, acoustic theoretical model, based on the fish morphology, and dorsal-aspect TS data were used. Total length of the anchovy ranged from 6.6 to 12.8cm (mean length 9.3cm). The side-aspect TS distributed between -40 and -55dB, has an obvious length dependency. The mean side-aspect TS of the anchovy was -47.8dB, and the TS was about 2dB higher than mean TS generated from dorsal-aspect measurements. With reference to maximum TS, the results of the side-aspect TS were distributed within the range of the theoretical and dorsal-aspect TS. Apparently these tendency indicates that side-aspect TS measured from the study is useful data. These in situ measurements of side-aspect TS can be applied to improve acoustic detection and estimates of the anchovy, and is necessary to measure with a various frequency and length for making enhance data.

• 한국생산제조학회지
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• 제6권3호
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• pp.58-64
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• 1997

A micromechanics model to describe the elastic behavior of fiber or whisker reinforced metal matrix composites was developed and the stress concentrations between reinforcements were investigated using the modified shear lag model with the comparison of finite element analysis (FEA). The rationale is based on the replacement of the matrix between fiber ends with the fictitious fiber to maintain the compatibility of displacement and traction. It was found that the new model gives a good agreement with FEA results in the small fiber aspect ratio regime as well as that in the large fiber aspect ratio regime. By the calculation of the present model, stress concentration factor in the matrix and the composite elastic modulus were predicted accurately. Some important factors affecting stress concentrations, such as fiber volume fraction, fiber aspect ratio, end gap size, and modulus ratio, were also discussed.

• Journal of Information Processing Systems
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• 제18권5호
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• pp.614-627
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• 2022

Aspect-based sentiment analysis is to discover the sentiment polarity towards an aspect from user-generated natural language. So far, most of the methods only use the implicit position information of the aspect in the context, instead of directly utilizing the position relationship between the aspect and the sentiment terms. In fact, neighboring words of the aspect terms should be given more attention than other words in the context. This paper studies the influence of different position embedding methods on the sentimental polarities of given aspects, and proposes a position embedding interactive attention network based on a long short-term memory network. Firstly, it uses the position information of the context simultaneously in the input layer and the attention layer. Secondly, it mines the importance of different context words for the aspect with the interactive attention mechanism. Finally, it generates a valid representation of the aspect and the context for sentiment classification. The model which has been posed was evaluated on the datasets of the Semantic Evaluation 2014. Compared with other baseline models, the accuracy of our model increases by about 2% on the restaurant dataset and 1% on the laptop dataset.