• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권8호
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• pp.299-308
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• 2014

신체 동작, 얼굴 표정과 같이 아주 복잡한 생체 패턴을 인식하고 분류하는 인간의 능력을 모방한 정보처리 컴퓨팅 관련 연구가 최근 다수 등장하고 있다. 특히 컴퓨터비전 분야에서는 인간의 뛰어난 인지 능력 중 상황정보 없이 시각시퀀스에서 동작을 분류하는 기능을 통해 시공간적 패턴 코딩과 빠른 인식 방법을 이해하고자 한다. 본 연구는 비디오 시퀀스상의 동작인식에 생물학적 시각인지과정의 영향을 받은 생체 기반 컴퓨터비전 모델을 제시하였다. 제안 모델은 이미지 시퀀스에서 동작을 검출하고 시각 패턴을 판별하는 데 생체 시각처리과정의 신경망 구조 단계를 반영하였다. 실험을 통해 생체 기반 동작인식 모델이 인간 시각인지 처리의 여러 가지 속성을 고려했을 뿐 아니라 기존 동작인식시스템에 비해 시간 정합성이 뛰어나며 시간 변화에 강건한 분류 능력을 보임을 알 수 있다. 제안 모델은 지능형 로봇 에이전트와 같은 생체 기반 시각정보처리 시스템 구축에 기여할 수 있다.

• 한국융합학회논문지
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• 제9권4호
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• pp.23-29
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• 2018

건설현장에서 흔히 발생하는 안전관리 문제점 중 시정조치 지연으로 인해 발생하는 재해율을 낮추기 위해, 기존의 시스템 중 점검 후 시정조치를 할 때까지 발생하는 시간을 단축하기 위하여 사전에 사고유형 데이터베이스를 구축하고 점검시 유사도 검사를 이용하여 점검자에게 문제점을 실시간으로 알려주어 현장에서 바로 시정조치를 수행할 수 있는 시스템을 모델링하여, 안전사고에 보다 적극적으로 대처할 수 있는 시스템을 연구하였다. 연구 결과 90 %이상의 개방 효과와 60 %이상의 안전사고 감소율이 있음을 알 수 있었다. 이 시스템을 기반으로 음성 인식과 딥러닝을 결합하여 보다 효과적인 시스템을 지속적으로 연구 할 것이다.

• Safety and Health at Work
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• 제5권1호
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• pp.1-6
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• 2014

Background: Workflow interruptions during surgery may cause a threat to patient's safety. Workflow interruptions were tested to predict failure in action regulation that in turn predicts near-accidents in surgery and related health care. Methods: One-hundred-and-thirty-three theater nurses and physicians from eight Swiss hospitals participated in a cross-sectional questionnaire survey. The study participation rate was 43%. Results: Structural equation modeling confirmed an indirect path from workflow interruptions through cognitive failure in action regulation on near-accidents (p < 0.05). The indirect path was stronger for workflow interruptions by malfunctions and task organizational blockages compared with workflow interruptions that were caused by persons. The indirect path remained meaningful when individual differences in conscientiousness and compliance with safety regulations were controlled. Conclusion: Task interruptions caused by malfunction and organizational constraints are likely to trigger errors in surgery. Work redesign is recommended to reduce workflow interruptions by malfunction and regulatory constraints.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.939-950
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• 2021

The purpose of this study was to measure the significance and contribution of sensory appeal, lifestyle, and health motive in determining coffee drink consumption. The theory adopted is the SOR (stimulus-organism-response) theory and the AISAS (attention-interest-search-action-share) model approach. Data was collected online in April-May 2020, and obtained 413 valid respondent data. The data were processed using SEM (Structural Equation Modeling) framework. The results showed that the variable sensory appeal of coffee drinks, lifestyle variables and health motive variables had a significant effect on coffee consumption. Of the 13 hypotheses proposed, nine hypotheses are accepted and four hypotheses are rejected. Sensory appeal has a positive effect on attitude and action of coffee consumption. Lifestyle has a positive effect on attitude, search, and action, whereas health motive has a positive effect on attitude of coffee consumption. Lifestyle variables have the greatest role in determining coffee consumption, followed by health motive variables and sensory appeal of coffee drinks. The SOR theory and the AISAS approach can both be used to analyze coffee drinking behavior. The research suggests that, to increase coffee consumption, a marketing approach should touch the lifestyle of the community and increase the promotion of the health aspects of coffee drinks.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.193-211
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• 2023

This study explores consumer perceptions of the Metaverse, a new concept emerging post-pandemic. It applies the Technology Acceptance Model and Theory of Reasoned Action to examine how perceived usefulness, ease of use, attitudes, subjective norms, and intentions to adopt new technology are connected. The study analyzes samples obtained from a self-administered online survey, assessing experienced and inexperienced individuals to compare their perceptions toward Metaverse in the food service industry. The data is processed with SPSS and AMOS, utilizing factor analysis and structural equation modeling. Results show perceived usefulness and ease of use influencing attitudes, which, along with subjective norms, impact behavioral intentions, supporting hypotheses. As online experiences grow, Metaverse marketing could affect dining behaviors and purchases. The study offers insights for food service companies to enhance behavioral intentions, contributing to Metaverse advancement.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.87-98
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• 2022

Purpose: The is study aimed to examine the impact of consumer ethnocentrism on reasoned action and brand equity on Generation Z in Vietnam. Research design, data and methodology: A quantitative study was undertaken on 302 Generation Z members. The data for the study was collected using a Google Form-based questionnaire from December 2021 to January 2022. Descriptive statistics, Cronbach's alpha, and structural equation modeling were among the data analysis techniques employed. The results: The results show that consumer ethnocentrism has a direct positive impact on reasoned action (subjective norms and attitude toward domestic goods) as well as an indirect positive impact on brand equity, including brand awareness, brand quality, and brand image. Major findings: According to the findings of this study, governments should continue to push propaganda and advocacy programs, call for national pride and encourage home consumers to support and use domestic goods. Domestic brands must strengthen their ties to the community and invest in community-oriented programs that promote domestic consumption. Vietnam's domestic fashion brands need to promote the exploitation of community-oriented and nationalistic content to call on domestic consumers to support them to consume domestic brands.

• Journal of Computing Science and Engineering
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• 제2권1호
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• pp.98-108
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• 2008

Terrain reconstruction from images is an ill-posed, yet commonly desired Structure from Motion task when compositing visual effects into live-action photography. These surfaces are required for choreography of a scene, casting physically accurate shadows of CG elements, and occlusions. We present a novel framework for generating the geometry of landscapes from extremely noisy point cloud datasets obtained via limited resolution techniques, particularly optical flow based vision algorithms applied to live-action video plates. Our contribution is a new statistical approach to remove erroneous tracks ('outliers') by employing a unique combination of well established techniques-including Gaussian Mixture Models (GMMs) for robust parameter estimation and Radial Basis Functions (REFs) for scattered data interpolation-to exploit the natural constraints of this problem. Our algorithm offsets the tremendously laborious task of modeling these landscapes by hand, automatically generating a visually consistent, camera position dependent, thin-shell surface mesh within seconds for a typical tracking shot.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1525-1530
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• 2003

In this paper, a model of adaptive individual life support system is proposed from the viewpoint of cybernetics. This model is derived based on the relation between human behavior and human action, static and dynamic in processing speed, and abstract/concrete. In applications, task and information of human which includes in this system analyzed by paying attention to cybernetics. This paper shows a few actual example of modeling by fundamental adaptive individual life support model such as medical diagnosis, health care and education support. Finally as an example, design and implementation are concretely carried out for health care support system. This is also a method to design a information support system which is involved in human.

• 한국경영과학회지
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• 제24권2호
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• pp.41-51
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• 1999

In sole-source procurement contraction for government goods and services, the buyer (government) needs to derive the optimal actions from the contractor so the buyer can obtain the maximum utility and the contractor, or single-source supplier, is guaranteed the equivalent of a minimum level of profit. Under the assumption of risk-neutrality for both the buyer and the contractor and the buyer's unobservability of the contractor's action, it is necessary for the buyer to design a (mathematical) model to achieve the above objective. This paper considers the mathematical formulation in which two problems - moral hazard and adverse selection - are present simultaneously; furthermore, from the formulation, a GAMS (General Algebraic Modeling System) program is used for a possible buyer to obtain the optimal actions.

• Advanced Composite Materials
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• 제16권3호
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• pp.207-221
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• 2007

The filling process of resin injection/compression molding (I/CM) can be divided into injection and compression phases. During the resin injection the mold is kept only partially closed and thus a gap is present between the reinforcements and the upper mold. The gap results in preferential flow path. After the gap is filled with the resin, the compression action initiates and forces the resin to penetrate into the fiber preform. In the present study, the resin flow in the gap is simplified by using the Stokes approximation, while Darcy's law is used to calculate the flow field in the fiber mats. Results show that most of the injected resins enter into the gap during the injection phase. The resin injection time is extremely short so the duration of the filling process is determined by the final closing action of the mold cavity. Compared with resin transfer molding (RTM), I/CM process can reduce the mold filling time or injection pressure significantly.