• 제목/요약/키워드: Scenario test

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혼밥이 건강한 메뉴 선택에 미치는 영향: 소비 목적 지향과 메뉴 영양 정보 표시의 역할 (Can Dining Alone Lead to Healthier Menu Item Decisions than Dining with Others? The Roles of Consumption Orientation and Menu Nutrition Information)

  • 허은솔
    • 대한지역사회영양학회지
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    • 제26권3호
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    • pp.155-166
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    • 2021
  • Objectives: Driven by a growth of single-person households and individualized lifestyles, solo dining in restaurants is an increasingly recognizable trend. However, a research gap exists in the comparison of solo and group diners' menu-decision making processes. Based on the self-control dilemma and the temporal construal theory as a theoretical framework, this study compared the ordering intentions of solo vs. group diners with healthy vs. indulgent (less healthy) entrées. The mediating role of consumption orientation and the moderating role of amount of menu nutrition information were further explored to understand the mechanism and a boundary condition. Methods: A scenario-based online survey was developed using a 2 (dining social context: solo vs. with others) × 3 (amount of menu nutrition information: no nutrition information vs. calories vs. calories/fat/sodium), between-subjects, experimental design. Consumers' level of nutrition involvement was controlled. A nationwide survey data (n = 224) were collected from a crowdsourcing platform in the U.S. Data were analyzed using multivariate analysis of covariance, independent t-test, univariate analysis of covariance, and moderated mediation analyses. Results: Findings reveal that solo (vs. group) diners have less (vs. more) intentions to order indulgent menu items due to a more utilitarian (vs. more hedonic) consumption orientation in restaurant dining. Findings also show that solo (vs. group) diners have more (vs. less) intentions to order healthy menu items when the restaurant menu presented nutrition information including calories, fat, and sodium. Conclusions: The findings contribute to the literature of foodservice management, healthy eating, and consumer behavior by revealing a mechanism and an external stimuli of solo vs. group diners' healthy menu-decision making process in restaurants. Furthermore, the findings provide restauranteurs and health professionals with insights into the positive and negative impacts of menu nutrition labelling on consumers' menu-decisions.

통합보안관리시스템을 고려한 IaaS 클라우드 컴퓨팅 운영에 관한 연구 (A Study on Operating the IaaS Cloud Computing in view of Integrated Security Management System)

  • 최주영;박춘식;김명주
    • 정보보호학회논문지
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    • 제22권1호
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    • pp.141-153
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    • 2012
  • 클라우드 컴퓨팅 서비스의 표준화 작업을 위해 클라우드 컴퓨팅 서비스에 대한 유즈 케이스와 요구사항 연구가 이루어지고 있지만 클라우드 컴퓨팅 환경의 운영 방법에 대한 연구 자체는 미비하다. 본 논문은 IaaS 클라우드 컴퓨팅 환경의 운영 방법을 기존의 통합보안관리시스템과 연계하여 제안한다. CloudStack 2.2.4 테스트베드를 활용하여 IaaS 클라우드 컴퓨팅 환경을 구축한 SWU-IaaS 클라우드 구조를 먼저 제안한다. 이러한 SWU-IaaS 클라우드 운영을 통해 IaaS 클라우드의 계층적인 구조와 구성요소들에 대한 속성 및 기능을 도출한다. 아울러 IaaS 클라우드 서비스를 정상(normal)적인 상태와 비정상(abnormal)적인 상태로 구분하여 각각의 시나리오를 제시한 후 통합보안 관리시스템으로부터 전달되는 보안 이벤트에 대하여 IaaS 클라우드 서비스의 운영 시나리오를 제안한다.

MFCCs를 이용한 입력 변환과 CNN 학습에 기반한 운영 환경 변화에 강건한 베어링 결함 진단 방법 (An Input Transformation with MFCCs and CNN Learning Based Robust Bearing Fault Diagnosis Method for Various Working Conditions)

  • 서양진
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제11권4호
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    • pp.179-188
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    • 2022
  • 기계의 주요 부품인 베어링 결함 진단에 딥러닝을 활용하는 연구가 활발하게 진행되어 좋은 성능을 달성하였으나, 학습 데이터와 테스트 데이터의 운영 환경 차이로 인해 기계가 실제로 가동되는 환경에서는 성능 저하가 발생하는 문제가 있다. 학습 데이터와 테스트 데이터의 분포 차이 문제를 다루는 방법으로 데이터 적응이 제안되어 좋은 결과를 보여주고 있으나, 각 방법이 가정하고 있는 특정 적용 시나리오를 벗어나기 어렵다는 제약이 있다. 이에 본 연구는 MFCCs를 이용한 입력 데이터의 변환과 간단한 CNN 구조를 이용해 원시 도메인 데이터로부터 생성된 모델에 대해 추가적인 학습이나 조정 없이 타겟 도메인 데이터에 대한 테스트를 강건하게 수행하는 방법을 제안하였으며, 대표적인 베어링 결함 진단 데이터셋인 CWRU 베어링 데이터를 이용해 제안한 방법에 대한 실험 및 분석을 수행하였다. 실험 결과 전이 학습 기반의 방법들과 대등한 성능을 보였으며, 입력 변환 기반의 베이스라인 방법보다는 최소 15% 정도의 높은 성능을 달성하였다.

The Stimulus Factors Influencing Intention to Participate in Shopping during the Distribution of the 12.12 Online Shopping Festivals in Malaysia

  • MAHMUDDIN, Yasmin;ABDULLAH, Mazilah;RAMDAN, Mohamad Rohieszan;MOHD ANIM, Nur Aqilah Hazirah;ABD AZIZ, Nurul Ashykin;ABD AZIZ, Nurul Aien;YAHAYA, Rusliza;ABD AZIZ, Noreen Noor
    • 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.

A SE Approach for Real-Time NPP Response Prediction under CEA Withdrawal Accident Conditions

  • Felix Isuwa, Wapachi;Aya, Diab
    • 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.

Investigation of aerodynamic behaviour of a high-speed train on different railway infrastructure scenarios under crosswind

  • Jiqiang, Niu;Yingchao, Zhang;Zhengwei, Chen;Rui, Li;Huadong, Yao
    • Wind and Structures
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    • 제35권6호
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    • pp.405-418
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    • 2022
  • The aerodynamic behaviour of a CRH high-speed train under three infrastructure scenarios (flat ground, embankment, and viaduct) in the presence of a crosswind was simulated using a 1/8th scaled train model with three cars and the IDDES framework. The time-averaged and instantaneous flow field around the model were examined. The employed numerical algorithm was verified through a wind tunnel test, and the grid and timestep resolution analyses were conducted to ensure the reliability of the data. It was noted that the flow around the rail line was different under different infrastructure scenarios, especially in the case of the embankment, which degraded the aerodynamic performance of the train under the crosswind. The flow around the train on the flat ground and viaduct was different, although the aerodynamic performance of the train was similar in both cases. Moreover, the viaduct accidents were noted to have the most critical consequences, thereby requiring the most attention. The aerodynamic performance of the train on the windward track of the embankment under the crosswind was worse than that of the train on the leeward track. But for the other two infrastructure scenarios, the aerodynamic performance of the train on the windward track is relatively dangerous, which is mainly caused by the head car. These observations suggest that the aerodynamic behaviour of the train on an embankment under a crosswind must be carefully considered and that certain wind protection measures must be adopted around rail lines in windy areas.

Collapse-resistant performance of a single-story frame assembly and multi-story sub-frame under an internal column-removal scenario

  • Zhong, Wei-hui;Tan, Zheng;Tian, Li-min;Meng, Bao;Zheng, Yu-hui;Daun, Shi-chao
    • Steel and Composite Structures
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    • 제41권5호
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    • pp.663-679
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    • 2021
  • To elucidate the differences in the collapse behavior between a single-story beam-column assembly and multi-story frame, two 1/3-scale two-bay composite frames, including a single-story composite beam-column assembly and a three-story composite sub-frame, were designed and quasi-statically tested. The load-displacement responses, failure modes, and internal force development of the two frames were analyzed and compared in detail. Furthermore, the resistance mechanisms of the two specimens were explored, and the respective contributions of different load-resisting mechanisms to the total resistances were quantitatively separated to gain deeper insights. The experimental tests indicated that Vierendeel action was present in the two-dimensional multi-story frames, which led to an uneven internal force distribution among the three stories. The collapse resistance of TSDWA-3S in the flexural stage was not significantly increased by the structural redundancy provided by the additional story, as compared to that of TSDWA-1S. Although the development of the load response was similar in the two specimens at flexural stage, the collapse mechanisms of the multi-story composite frame were much more complicated than those of the single-story beam-column assembly, and the combined action between stories was critical in determining the internal force redistribution and rebalancing of the remaining structure.

Mission Management Technique for Multi-sensor-based AUV Docking

  • Kang, Hyungjoo;Cho, Gun Rae;Kim, Min-Gyu;Lee, Mun-Jik;Li, Ji-Hong;Kim, Ho Sung;Lee, Hansol;Lee, Gwonsoo
    • 한국해양공학회지
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    • 제36권3호
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    • pp.181-193
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    • 2022
  • This study presents a mission management technique that is a key component of underwater docking system used to expand the operating range of autonomous underwater vehicle (AUV). We analyzed the docking scenario and AUV operating environment, defining the feasible initial area (FIA) level, event level, and global path (GP) command to improve the rate of docking success and AUV safety. Non-holonomic constraints, mounted sensor characteristic, AUV and mission state, and AUV behavior were considered. Using AUV and docking station, we conducted experiments on land and at sea. The first test was conducted on land to prevent loss and damage of the AUV and verify stability and interconnection with other algorithms; it performed well in normal and abnormal situations. Subsequently, we attempted to dock under the sea and verified its performance; it also worked well in a sea environment. In this study, we presented the mission management technique and showed its performance. We demonstrated AUV docking with this algorithm and verified that the rate of docking success was higher compared to those obtained in other studies.

Development and effects of a high-risk pregnancy emotive role-play program for nursing students: a quasi-experimental study

  • Bo Gyeong Lee;Sun-Hee Kim
    • 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.

자율주행을 위한 MEC 적용 기능의 연구 (A Study on MEC Network Application Functions for Autonomous Driving)

  • 남강현
    • 한국전자통신학회논문지
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    • 제18권3호
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    • pp.427-432
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    • 2023
  • 본 연구에서, MEC(: Multi-access Edge Computing)가 Wave, Lte, 5G 망에서 V2X(: Vehicle to Everything) 를 적용한 자율 자동차의 다양한 시험을 위해서 Cloud 서비스망 구성이 제안되고, MEC App(:Application)은 특정 지역에서 두 가지 도메인(사업자(KT, SKT, LG U+), 망 형태(Wave, LTE(3G 포함), 5G))의 V2X 서비스 기능 시험 검증을 적용하였다. 국내 운영업체(SKT, KT, LG U+ 그리고 Wave)의 4G 망에서, MEC는 독립적인 망 기능을 가져가기 위한 목적으로 V2X 기능 블록과 Traffic Offloading을 통한 개선 효과를 정리하였다. 그리고 5G 망의 V2X VNF에서 높은 수준의 QoS로 값으로, Traffic Steering기능의 시나리오가 목적지별 트래픽 경로상에서 입증되었다.