• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.23 no.1
• /
• pp.95-110
• /
• 2010

A numerical model to simulate bond-slip behavior of composite beam bridges is introduced in this paper. Assuming a linear bond stress-slip relation along the interface between the slab and girder, the slip behavior is implemented into a finite element formulation. Adopting the introduced model, the slip behavior can be taken account even in a beam element which is composed of both end nodes only. Governing equation of the slip behavior, based on the linear partial interaction theory, can be determined from the force equilibrium and a constant curvature distribution across the section of a composite beam. Since the governing equation for the slip behavior requires the moment values at both end nodes, the piecewise linear distribution of the constant bending moment in an element is assumed. Analysis results by the model are compared with numerical results and experimental values, and load-displacement relations of composite beams were then evaluated to verify the validity of the proposed model.

• Journal of the Korean Society for Library and Information Science
• /
• v.50 no.2
• /
• pp.309-336
• /
• 2016

This paper introduces a relation extraction system that can be used in identifying and classifying semantic relations between biomedical entities in scientific texts using machine learning methods such as Support Vector Machines (SVM). The suggested system includes many useful functions capable of extracting various linguistic features from sentences having a pair of biomedical entities and applying them into training relation extraction models for maximizing their performance. Three globally representative collections in biomedical domains were used in the experiments which demonstrate its superiority in various biomedical domains. As a result, it is most likely that the intensive experimental study conducted in this paper will provide meaningful foundations for research on bio-text analysis based on machine learning.

• Steel and Composite Structures
• /
• v.25 no.1
• /
• pp.105-116
• /
• 2017

This paper presents the dynamic stability study of laminated composite plates with different force combinations and aspect ratios. Optimum non-diverging stacking is obtained for certain loading combination and aspect ratio. In addition, the stability force is maximized for a definite operating frequency. A dynamic version of the principle of virtual work for laminated composites is used to obtain force-frequency relation. Since dynamic stiffness governs the divergence or flutter, an efficient optimization method is necessary for the response functional and the relevant constraints. In this way, a model based on the ant colony optimization (ACO) algorithm is proposed to search for the proper stacking. The ACO algorithm is used since it treats with large number of dynamic stability parameters. Governing equations are formulated using classic laminate theory (CLT) and von-Karman plate technique. Load-frequency relations are explicitly obtained for fundamental and secondary flutter modes of simply supported composite plate with arbitrary aspect ratio, stacking and boundary load, which are used in optimization process. Obtained results are compared with the finite element method results for validity and accuracy convince. Results revealed that the optimum stacking with stable dynamic response and maximum critical load is in angle-ply mode with almost near-unidirectional fiber orientations for fundamental flutter mode. In addition, short plates behave better than long plates in combined axial-shear load case regarding stable oscillation. The interaction of uniaxial and shear forces intensifies the instability in long plates than short ones which needs low-angle layup orientations to provide required dynamic stiffness. However, a combination of angle-ply and cross-ply stacking with a near-square aspect ratio is appropriate for the composite plate regarding secondary flutter mode.

• Journal of KIISE:Software and Applications
• /
• v.30 no.11
• /
• pp.1015-1024
• /
• 2003

In [1] we proposed a method to generate a test model (GFSM) from a set of scenarios of embedded software. Each scenario describes the interaction sequences for an external input event. Although these external events are generated and accepted alternatively and concurrently by embedded software, we considered only the alternative relations. In this paper, we describe an improved algorithm to generate GFSM from concurrent scenarios, and propose methods to reduce the number of transitions in the GFSM. The first is the synchronous interpretation of message passing instead of asynchronous one considering the real behavior of tasks in embedded software. The others apply the partial order techniques to the GFSM using independent regions. We apply the method to generate a reduced GFSM of embedded software running on a digital TV.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.377-380
• /
• 2018

인간의 추론 능력이란 문제에 주어진 조건을 보고 문제 해결에 필요한 것이 무엇인지를 논리적으로 생각해 보는 것으로 문제 상황 속에서 일정한 규칙이나 성질을 발견하고 이를 수학적인 방법으로 법칙을 찾아내거나 해결하는 능력을 말한다. 이러한 인간인지 능력과 유사한 인공지능 시스템을 개발하는데 있어서 핵심적 도전은 비구조적 데이터(unstructured data)로부터 그 개체들(object)과 그들간의 관계(relation)에 대해 추론하는 능력을 부여하는 것이라고 할 수 있다. 지금까지 딥러닝(deep learning) 방법은 구조화 되지 않은 데이터로부터 문제를 해결하는 엄청난 진보를 가져왔지만, 명시적으로 개체간의 관계를 고려하지 않고 이를 수행해왔다. 최근 발표된 구조화되지 않은 데이터로부터 복잡한 관계 추론을 수행하는 심층신경망(deep neural networks)은 관계추론(relational reasoning)의 시도를 이해하는데 기대할 만한 접근법을 보여주고 있다. 그 첫 번째는 관계추론을 위한 간단한 신경망 모듈(A simple neural network module for relational reasoning) 인 RN(Relation Networks)이고, 두 번째는 시각적 관찰을 기반으로 실제대상의 미래 상태를 예측하는 범용 목적의 VIN(Visual Interaction Networks)이다. 관계 추론을 수행하는 이들 심층신경망(deep neural networks)은 세상을 객체(objects)와 그들의 관계(their relations)라는 체계로 분해하고, 신경망(neural networks)이 피상적으로는 매우 달라 보이지만 근본적으로는 공통관계를 갖는 장면들에 대하여 객체와 관계라는 새로운 결합(combinations)을 일반화할 수 있는 강력한 추론 능력(powerful ability to reason)을 보유할 수 있다는 것을 보여주고 있다. 본 논문에서는 관계 추론을 수행하는 심층신경망(deep neural networks) 중에서 Sort-of-CLEVR 데이터 셋(dataset)을 사용하여 RN(Relation Networks)의 성능을 재현 및 관찰해 보았으며, 더 나아가 파라미터(parameters) 튜닝을 통하여 RN(Relation Networks) 모델의 성능 개선방법을 제시하여 보았다.

• Management & Information Systems Review
• /
• v.38 no.3
• /
• pp.21-34
• /
• 2019

It is a very important task for managers to motivate employees who work at service encounters where interaction with customers is important. The purpose of this study is to propose the trust of supervisor and supervisor's expressions as factors that can enhance or strengthen employees' prosocial behavior. Hierarchical regression analysis was used for this purpose. The results and implications are as follows. First, trust toward supervisors appeared to be a factor to improve employees'engagement. Second, job engagement has a positive effect on prosocial behavior of employees, that is, customer oriented behavior and organizational citizenship behavior. Finally, this work confirmed the moderating effect of the supervisor's gratitude expressions in the relationship between trust toward supervisor and job engagement. Research on gratitude in the marketing field is still in its infancy, and previous researches are focused on business and consumer relations. Expressing gratitude can be a natural tendency. This study suggests that gratitude expression should be introduced as part of organizational culture.

• Journal of Korean Academy of Nursing
• /
• v.49 no.3
• /
• pp.349-360
• /
• 2019

Purpose: This study was conducted to derive a substantive theory on lived experiences of elderly cancer patients. Methods: The data were collected from February to March 2018 through in-depth personal interviews with 14 elderly cancer patients. The collected data were analyzed based on Corbin and Strauss's grounded theory. Results: The core category was "the journey to find balance in daily lives as a cancer patient by recovering disturbed ego integrity." The core phenomenon was "shattered by suffering from cancer," and the causal conditions were "physical change" and "limitations in daily life." The contextual conditions were "decreased self-esteem," "feelings of guilt toward the family," and the sense of "economic burden." The participants' action and interaction strategies were "maintaining or avoiding social relations," "seeking meaning of the illness," "falling into despair," and "strengthening the willingness to battle the cancer." The intervening conditions were "support from health care providers and family," "dissatisfaction with health care providers," "spiritual help from religion," and "the improvement or worsening of health conditions." The consequences were "having a new insight for life," "living positively along with cancer illness," and "the loss of willingness to live." A summary of the series of processes includes the "crisis stage," "reorganizing stage," and the "ego integration stage." Conclusion: This study explored the holistic process of ego integrity impairment and the recovery experience of elderly cancer patients. This study is expected to be used as a basis for the development of nursing interventions that can support patients when coping with all stages of their cancer illness trajectory.

• International Journal of Computer Science & Network Security
• /
• v.22 no.2
• /
• pp.107-114
• /
• 2022

The main purpose of this study is to substantiate the theoretical and methodological foundations of the organizational and economic mechanism of development of the agro-industrial complex in modern conditions. Organizational and economic mechanism is presented as a complex organizational structure of the system type, which is aimed at performing specific functions, the characteristic feature of which is the constant support of process changes without which the organizational and economic mechanism can not exist. There are four components of the agro-industrial complex, represented by agriculture and the national economy, which ensure its operation, including industry, processing of agricultural products, its storage and transportation, sale and repair and maintenance of agricultural machinery and more. It is proved that the organizational and economic mechanism of development of agro-industrial complex in modern conditions it is expedient to consider: from the point of view of system and process approaches; as a set of economic levers and organizational measures to influence the agro-industrial complex; constituent components of organizational influence on the development of the complex; a set of components, elements that are integrated into the system of economic relations of the subjects of the agro-industrial complex; a set of purposeful stimulators of agro-industrial complex development. The functions of the organizational component of the mechanism of agro-industrial complex include: redistributive, planning, interaction, control, integration and regulatory functions, the functions of the economic component include consumer, investment and innovation, social, incentive, monitoring functions of the mechanism. The symbiosis of the functions of organizational and economic components ensure the effectiveness of the organizational and economic mechanism of the organizational and economic mechanism through its functionalities as a whole.

• Journal of Digital Convergence
• /
• v.19 no.5
• /
• pp.433-442
• /
• 2021

The present study explored the moderating roles of perceived responsiveness of SNS friends and self-esteem in the relationship between SNS use and perceived social support among college students. Using a panel owned by a research firm, a nationwide online survey was conducted (females N = 264, males N = 239). The results of regression analysis suggested that there is no significant main effect of SNS use but a significant main effect of perceived responsiveness of SNS friends. In addition, a three-way interaction effect was found among perceived responsiveness of SNS friends, SNS use, and self-esteem. This study contributes to elaboration of the extant research as well as providing practical implications to SNS-based intervention programs for college students' psychological well-being.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.167-174
• /
• 2022

The purpose of this study was to determine the degree of undergraduate nursing student adaptation to college life who experienced a non-face-to-face semester due to COVID-19 and investigate the factors that influenced that adaptation. Methods: Nursing students were surveyed from March 1 through 31, 2021; and data from 127 respondents were analyzed. For data analysis, stepwise multiple regression analysis was performed using the SPSS WIN 20.0 program. Results: Nursing student adaptation was explained by Stress (β=-.36, p<.001), Ego-resilience (β=.29, p<.001), satisfaction with nursing major (β=.16, p=.017), Performance (β=.17, p=.022) and Personal relations (β=.14, p=.037); and, the explanatory power of these variables was 43.5%. Conclusion: As the interaction changed from non-face-to-face space to face-to-face space due to distance learning, it was found that Stress, Ego-resilience, and satisfaction with the major had an effect on college life adaptation.