• 유통과학연구
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• 제20권8호
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• pp.93-103
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• 2022

Purpose: Online shopping festivals have quickly become the newest trend in online shopping worldwide due to the COVID-19 pandemic. This has led to marketing distribution channels that traditionally emphasized traditional techniques having turned to electronic commerce platforms. Although the pandemic scenario encourages online purchasing, other factors, such as the influence of participation intention to shop during the Online Shopping Festival, must also be considered. Research design, data and methodology: Multiple linear regression analysis was used to test the hypothesis based on data from 121 respondents who are actively involved with online shopping activities in Klang Valley, Selangor. Results: The results of this study show that promotion categories and the perceived influence of mass participation have a significant influence on participation intention. Meanwhile, the perceived temptation of price promotion and perceived fun promotional activities did not significantly influence participation intention. Conclusions: Theoretically, this study contributes to the literature by using the Theory of Planned Behavior and Stimulus-Response models to explain the factors that drive participation intention for online shopping. In practice, this study attracts and encourages customers to shop during the festival day because various attractive promotions are offered by sellers in Malaysia.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제28권1호
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• pp.63-74
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• 2022

Purpose: The purpose of this study is to present an evacuation performance analysis model that can derive vulnerable evacuation spaces with considering the movement behavior as per the elderly groups in the event of a fire in a geriatric hospital. Methods: The evacuation characteristics of geriatric hospital users were investigated through the review of precedent studies. First, the occupant conditions and the evacuation scenario were set to analyze a study target hospital. Then, the evacuation simulation was carried out considering the group types and the density of each group. Finally, an evacuation performance analysis model according to the group type was presented based on the simulation results. Results: The results of this study are as follows: (1) The evacuation performance according to the group type is to be clarified through the suggested study model. (2) It is necessary to secure a ramp or an emergency elevator to distribute the evacuation personnel at the design stage because congestion occurs due to collisions between evacuees on the stairs and delays the evacuation time. (3) It is necessary to consider the evacuation stairs and openings of sufficient size by analyzing the frequency of congestion occurrence and the escape routes of occupants in advance to identify the space where the evacuation flow overlaps. Implications: It is expected that the study result is to be used as primary data for studies that consider the elderly and clustering evacuation behavior in the event of a fire in a geriatric hospital.

• Structural Engineering and Mechanics
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• 제78권3호
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• pp.351-368
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• 2021

This paper, by applying a reliability-based framework, develops seismic vulnerability macrozonation maps for Tehran, the capital and one of the most earthquake-vulnerable city of Iran. Seismic performance assessment of 3-, 4- and 5-story steel moment resisting frames (SMRFs), designed according to ASCE/SEI 41-17 and Iranian Code of Practice for Seismic Resistant Design of Buildings (2800 Standard), is investigated in terms of overall maximum inter-story drift ratio (MIDR) and unit repair cost ratio which is hereafter known as "damage ratio". To this end, Tehran city is first meshed into a network of 66 points to numerically locate low- to mid-rise SMRFs. Active faults around Tehran are next modeled explicitly. Two different combination of faults, based on available seismological data, are then developed to explore the impact of choosing a proper seismic scenario. In addition, soil effect is exclusively addressed. After building analytical models, reliability methods in combination with structure-specific probabilistic models are applied to predict demand and damage ratio of structures in a cost-effective paradigm. Due to capability of proposed methodology incorporating both aleatory and epistemic uncertainties explicitly, this framework which is centered on the regional demand and damage ratio estimation via structure-specific characteristics can efficiently pave the way for decision makers to find the most vulnerable area in a regional scale. This technical basis can also be adapted to any other structures which the demand and/or damage ratio prediction models are developed.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.75-93
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• 2022

Machine learning (ML) data-driven meta-model is proposed as a surrogate model to reduce the excessive computational cost of the physics-based model and facilitate the real-time prediction of a nuclear power plant's transient response. To forecast the transient response three machine learning (ML) meta-models based on recurrent neural networks (RNNs); specifically, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and a sequence combination of Convolutional Neural Network (CNN) and LSTM are developed. The chosen accident scenario is a control element assembly withdrawal at power concurrent with the Loss Of Offsite Power (LOOP). The transient response was obtained using the best estimate thermal hydraulics code, MARS-KS, and cross-validated against the Design and control document (DCD). DAKOTA software is loosely coupled with MARS-KS code via a python interface to perform the Best Estimate Plus Uncertainty Quantification (BEPU) analysis and generate a time series database of the system response to train, test and validate the ML meta-models. Key uncertain parameters identified as required by the CASU methodology were propagated using the non-parametric Monte-Carlo (MC) random propagation and Latin Hypercube Sampling technique until a statistically significant database (181 samples) as required by Wilk's fifth order is achieved with 95% probability and 95% confidence level. The three ML RNN models were built and optimized with the help of the Talos tool and demonstrated excellent performance in forecasting the most probable NPP transient response. This research was guided by the Systems Engineering (SE) approach for the systematic and efficient planning and execution of the research.

• 한국산업정보학회논문지
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• 제14권4호
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• pp.37-48
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• 2009

가정용 서비스 로봇들은 사용자들에게 다양한 시간 추론 서비스들을 제공할 수 있어야 한다. 본 논문에서는 영역-독립적인 인공지능 계획기를 이용하여 이러한 시간 추론 서비스를 효과적으로 구현하는 방법을 제안한다. 영역-독립적인 인공지능 계획기를 이용하여 시간 추론 서비스를 개발하기 위해서는 다양한 실세계 시간 제약들을 어떻게 하나의 계획 영역 정의 언어로 표현하느냐 하는 지식 공학적 문제뿐만 아니라, 인공지능 계획기와 서비스 소비자 사이의 인터페이스를 어떻게 구현하여야 하느냐 하는 시스템 설계 문제를 함께 해결하여야 한다. 본 논문에서는 가정용 서비스 로봇이 고려해야 하는 하나의 예제 시나리오와 전형적인 시간 제약들을 제시하고, 이들을 표준 계획 영역 정의 언어로 표현하는 방법을 제시한다. 또한 본 논문에서는 새로운 시간 추론 서비스를 효율적으로 생성하고 제공하기 위해, 인공지능 계획기를 기초로 하나의 서비스 에이전트를 구현하는 방법에 대해서도 설명한다.

• 여성건강간호학회지
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• 제28권4호
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• pp.317-328
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• 2022

Purpose: This study aimed to develop an emotive role-play program for nursing students focusing on high-risk pregnancy and analyze its effects on communication skills, clinical performance, and emotional intelligence. Methods: A quasi-experimental nonequivalent comparison group design was adopted with 83 nursing students (experimental group, 45; comparison group, 38) who participated voluntarily in an extracurricular program. The preliminary survey was conducted on November 3 and November 4, 2020, and the follow-up survey was conducted on November 12, 2020, for the comparison group and on November 27, 2020, for the experimental group. A program that included five role-play scenarios related to induced labor, preeclampsia, premature rupture of membranes, preterm labor, and infertility was developed by a group of experts and presented to the experimental group over 11 total hours across 3 days. Each student participated in a role-play scenario as a patient, family member, or nurse and observed three other scenarios. The comparison group received a workbook after the follow-up evaluation. The independent t-test was performed to analyze changes in communication skills, clinical performance, and emotional intelligence. Results: Communication skills (t=1.84, p=.035) and clinical performance (t=2.75, p=.004) significantly increased in the experimental group compared to the comparison group. A significant difference was not observed between the experimental and comparison groups for emotional intelligence (t=1.36, p=.088). Conclusion: The emotive role-play program concerning high-risk pregnancy was effective in improving nursing students' communication skills and clinical performance and can be used in nursing education related to high-risk pregnancy and childbirth.

• Nuclear Engineering and Technology
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• 제55권1호
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• pp.169-179
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• 2023

Filtered containment system is a passive safety system that controls the over-pressurization of containment in case of a design-based accidents by venting high pressure gaseous mixture, consisting of air, steam and radioactive particulate and gases like iodine, via a scrubbing system. An indigenous lab scale facility was developed for research on iodine removal by venturi scrubber by simulating the accidental scenario. A mixture of 0.2 % sodium thiosulphate and 0.5 % sodium hydroxide, was used in scrubbing column. A modified mathematical model was presented for iodine removal in venturi scrubber. Improvement in model was made by addition of important parameters like jet penetration length, bubble rise velocity and gas holdup which were not considered previously. Experiments were performed by varying hydrodynamic parameters like liquid level height and gas flow rates to see their effect on removal efficiency of iodine. Gas holdup was also measured for various liquid level heights and gas flowrates. Removal efficiency increased with increase in liquid level height and gas flowrate up to an optimum point beyond that efficiency was decreased. Experimental results of removal efficiency were compared with the predicted results, and they were found to be in good agreement. Maximum removal efficiency of 99.8% was obtained.

• Asia Marketing Journal
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• 제6권2호
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• pp.3-22
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• 2004

기존 연구에서는 주로 유통업자 브랜드와 제조업자 브랜드는 경쟁관계로 보았다. 하지만 본 연구에서는 유통업자 브랜드가 제조업자 브랜드를 소재 브랜드로 사용하면 유통업자 브랜드에 대한 소비자들의 저품질 인식을 변화시킬 수 있다는 측면을 이론적, 실증적으로 밝히고자 하였다. 연구결과 유통업자 브랜드가 제조업자 브랜드를 소재 브랜드로 사용하면 지각된 품질과 구매의도가 향상되는 것으로 나타났다. 그리고 제조업자 브랜드와 제품의 일치 정도가 중간일 때 소비자가 가장 긍정적인 반응을 보이는 것으로 나타났다. 이 관계에서 기능적 위험이 조절변수 역할을 하는 것으로 나타났는데 기능적 위험이 높을 때는 소비자들이 유통업자 브랜드와 제조업자 브랜드의 높은 일치성의 경우에 더 좋은 반응을 나타냈으며, 기능적 위험이 낮을 때는 중간정도 일치할 때 더 좋은 반응을 나타냈다.

• Steel and Composite Structures
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• 제49권5호
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• pp.533-546
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• 2023

Cost-effective solutions provided by composite construction are gaining popularity which, in turn, promotes the appearance on the market of new types of composite sections that allow not only to take advantage of the synergy of steel and concrete working together at room temperature, but also to improve their behaviour at high temperatures. When combined with high performance materials, significant load-bearing capacities can be achieved even with reduced cross-sectional dimensions. Steel-reinforced concrete-filled steel tubular (SR-CFST) columns are one of these innovative composite sections, where an open steel profile is embedded into a CFST section. Besides the renowned benefits of these typologies at room temperature, the fire protection offered by the surrounding concrete to the inner steel profile, gives them an enhanced fire performance which delays its loss of mechanical capacity in a fire scenario. The experimental evidence on the fire behaviour of SR-CFST columns is still scarce, particularly when combined with high performance materials. However, it is being much needed for the development of specific design provisions that consider the use of the inner steel profile in CFST columns. In this work, a new experimental program on the thermo-mechanical behaviour of SR-CFST columns is presented to extend the available experimental database. Ten SR-CFST stub columns, with circular and square geometries, combining high strength steel and concrete were tested. It was seen that the circular specimens reached higher failure times than the square columns, with the failure time increasing both when high strength steel was used at the embedded steel profile and high strength concrete was used as infill. Finally, different proposals for the reduction coefficients of high performance materials were assessed in the prediction of the cross-sectional fire resistance of the SR-CFST columns.

• 사물인터넷융복합논문지
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• 제10권2호
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• pp.25-41
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• 2024

노천 광산 채굴 시나리오와 관련하여 현재 중국에서는 주요 수동 및 정기 검사를 위한 비디오 모니터링을 사용하는 것으로 인건비를 지속적으로 투자해야 하며 적시성이 낮다. 이 조기경보 모니터링의 문제를 해결하기 위해 이 글에서는 공간화 알고리즘 모델을 개발하여 노천광산의 월경채굴 조기경보시스템을 설계하고 광산채굴장비의 지리적 정보를 산출하고 실시간으로 광산 승인 범위의 레이어 좌표와 비교하고, 자동으로 광산의 월경 채굴 행동을 예측한다. 장시 핑샹 지역을 연구 대상으로 하여 노천 광산 채굴 엔지니어링 기계 장비를 식별 및 추적 대상으로 선정하였으며, 현장 실험을 통해 시스템이 안정적이고 신뢰할 수 있으며 검증 시스템의 목표 추적 정확도가 높은 것으로 나타났으며, 광산 채굴 감독의 적시성과 정확성을 향상시킬 수 있고 감독의 인건비를 크게 절감할 수 있다.