• Title/Summary/Keyword: Store environment

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CFD Numerical Calcultion for a Cavity Matrix Combustor Applying Biogas (바이오가스 적용 캐비티 매트릭스 연소기 CFD 수치연산)

  • CHUN, YOUNG NAM;AN, JUNE
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.5
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    • pp.598-606
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    • 2022
  • With the advancement of industry, the use of various sustainable energy sources and solutions to problems affecting the environment are being actively requested. From this point of view, it is intended to directly burn unused biogas to use it as energy and to solve environmental problems such as greenhouse gases. In this study, a new type of cavity matrix combustor capable of low-emission complete combustion without complex facilities such as separation or purification of biogas produced in small and medium-sized facilities was proposed, and CFD numerical calculation was performed to understand the performance characteristics of this combustor. The cavity matrix combustor consists of a burner with a rectangular porous microwave receptor at the center inside a 3D cavity that maintains a rectangular parallelepiped shape composed of a porous plate that can store heat in the combustor chamber. As a result of numerical calculation, the biogas supplied to the inlet of the combustor is converted to CO and H2, which are intermediate products, on the surface of the 3D matrix porous burner. And then the optimal combustion process was achieved through complete combustion into CO2 and H2O due to increased combustibility by receiving heat energy from the microwave heating receptor.

Effects of Restaurant's Safety on Trust, Anxiety, Satisfaction and Revisit Intention (레스토랑의 안전성이 신뢰, 불안, 만족 그리고 재방문 의도에 미치는 영향 )

  • Dae-Kwon, YANG;Sung-Hoon, KIM;Suk-Kwang, YONG
    • The Korean Journal of Franchise Management
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    • v.14 no.1
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    • pp.23-38
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    • 2023
  • Purpose: Most people are worried about contracting COVID-19, which in turn increases anxiety that they may have contracted COVID-19. Therefore, this study examines the effect of restaurant safety consisting of hygiene, store management, and countermeasure on trust, anxiety, satisfaction, and revisit intention. Research design, data and methodology: The data were collected from 537 consumers who had experiences of visiting a restaurant within the last 2 months and analyzed with SPSS 28.0 and SmartPLS 4.0 programs. Result: The hygiene, management, and countermeasure had a significant positive (+) effect on trust. Restaurant hygiene was found to have a significant negative (-) effect on anxiety, but countermeasure had a significant positive (+) effect on anxiety. Meanwhile, management did not appear to have a significant effect on anxiety. Trust was found to have a significant positive (+) effect on satisfaction and revisit intention. Anxiety was found to have a significant negative (-) effect on satisfaction but had no significant effect on revisit intention. Finally, satisfaction was found to have a significant positive (+) effect on revisit intention. Conclusions: As a result of the study, this study explained the safety of restaurants in the COVID-19 pandemic environment through the protective motivation theory.

A study on the Environmental Factors of the Fitting Room Affecting Fashion Product Purchase Decisions (패션제품 구매결정에 영향을 미치는 피팅룸 환경 요인에 관한 연구)

  • Hyun-Hee Park;Eun-Kyoung Lee; Jung-Ok Jeon
    • Fashion & Textile Research Journal
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    • v.24 no.6
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    • pp.756-765
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    • 2022
  • The purchase-related responses of MZ generation consumers may vary depending on the environmental factors of the fitting room. Therefore, this study extracted and systematized fitting room characteristics in the retail fashion environment. In-depth interviews were conducted with a total of 50 informants to collect data on the experience of using the fitting room. Then, a qualitative analysis was performed. First, results confirmed that the environmental factors of the fitting room include physical (spatiality, functionality, comfort, and convenience) and human (interactivity and congestion) aspects. Next, additional analysis was performed on functionality and interactivity to clarify the influence of environmental characteristics of the fitting room. These factors were classified into qualitative categories. The study results confirmed that, in the case of functionality, preferred lighting and mirror factors vary depending on the clothing product type, the place and situation for wearing, and individual characteristics. Furthermore, regarding interactivity, the preference for the presence of sales staff or companions differed according to personal traits and the need for additional information and evaluation. The study provides valuable information for effective fitting room space planning for offline fashion stores to meet the needs of MZ generation consumers.

Regional Difference in Retail Product Association of Market Basket Analysis in US

  • Byong-Kook YOO;Soon-Hong KIM
    • Journal of Distribution Science
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    • v.21 no.4
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    • pp.121-129
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    • 2023
  • Purpose: Market basket analysis is one of the most frequently used methods in the retail industry today as a technique to discover the product association. It is empirically analyzed how these product associations differ regionally in the case of the United States. Research design, data, and methodology: Based on the purchasing data of consumer panels collected from 49 US states, the association rules for each state was extracted with the corresponding lift values indicating product association. The difference in lift values in 49 states by the association rule was compared and tested for 49 states and for 4 census regions (Northeast, Midwest, South, West). Results: The association rules of 3/4 of the same association rules show positive associations or negative associations depending on the lift values of the states. There were significant differences in the lift values for 49 states, and for 4 census regions. These significant differences in the lift values were found to be related to the distance between states and whether states belong to the same census region. Conclusions: Retail product associations shown by market basket analysis may vary depending on regional distance or regional heterogeneity. It is necessary to pay attention to these points in multi-store environment.

Beauty Mirror using Face Recognition (얼굴 인식을 이용한 뷰티 미러)

  • Park, Sang-min;Shon, Byeong-Su;Kim, Myung-sik;Choi, Byung-Yun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.518-520
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    • 2021
  • Sample cosmetics used in cosmetics department in a situation where an infectious disease problem arises due to the emergence of COVID-19 can be a cause of infection. To prevent this, each cosmetic store can use a Beauty Mirror. The Beauty Mirror is composed of an operation device and a mirror device. In order to recognize the user's face in the mirror device, the feature points of the face are searched and the feature points are divided and used for each part. For communication between the operation device and the mirror device, data is transmitted and received through Serial communication using the FTDI232 chip. Beauty Mirror is not limited to cosmetics department, but can be applied to online shopping malls to enable testing in an online environment.

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Augmented Reality Game of Experiential Metaverse based on Landmark (랜드마크 기반 체험형 메타버스 증강현실 게임)

  • Min-gyu Yeom;Su-min Lee;Young-hoon Park;Kyung-sook Han
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.109-117
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    • 2023
  • Recently, interest in metaverse, which creates new value in the real world, has increased. In order to make it easy to experience such a metaverse, we have developed an experiential metaverse AR game in which users take the lead in exploring the environment and enjoying content based on landmarks. Important features of the metaverse include connectivity with the real world, interactivity, and digital currency. The game seeks to extend daily life through AR and satisfies interaction through real-time chat and team competition. Finally, digital currency is built through a store system. It is implemented as a mobile game and can be accessed at any time if there is a smartphone, increasing accessibility.

Fate and Risk Comparison of Foodborne Pathogens in Raw Chicken, Pork, and Beef Meat at Various Temperatures

  • Yoon Ki Sun
    • Journal of the FoodService Safety
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    • v.3 no.2
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    • pp.49-58
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    • 2022
  • The objectives of this study were to investigate the behavior characteristics of pathogenic E. coli, Salmonella Typhimurium, Campylobacter jejuni, and Listeria monocytogenes in various kinds of meat (beef, chicken, and pork) and to compare their risk using FDA-iRISK. The growth of S. Typhimurium in chicken and pathogenic E. coli in pork and beef was well supported and posed a high risk. A similar trend was observed in the risk comparison results using the iRISK. When comparing total disability adjusted life years (DALY) per year based on the kinds of meat, chicken was the highest (88.2), followed by pork (58.5) and beef for "yukhoe" (18.8). When comparing scenarios grouped by bacteria, The highest total DALYs per year was observed with pathogenic E. coli (121), followed by S. Typhimurium (44.8) and L. monocytogenes (1.67E-3). These results indicate that the risk of combining meat and foodborne pathogens varies under the same distribution environment. Thus, strict management and supervision are required to store and deliver raw meat to prevent cross-contamination among the raw meats at the processing plant and retail market.

Metadata design and system development for autonomous data survey using unmanned patrol robots (무인순찰로봇 활용 데이터 기록 자동화를 위한 메타데이터 정의 및 시스템 구축)

  • Jung, Namcheol;Lee, Giryun;Nho, Hyunju
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.11a
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    • pp.267-268
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    • 2023
  • Unmanned patrol robots are currently being developed for autonomous data survey in construction sites. As the amount of data acquired by robots increases, it is important to utilize proper metadata and system to manage data flow. In this study, we developed three materials, metadata design, robot system and web system, in the purpose of automating construction site data survey using unmanned patrol robots. The metadata was mainly designed to represent when and where raw data was acquired. To identify the location of data acquired, localization data from SLAM algorithm was converted to suit the construction drawings. The robot system and web system were developed to generate, store and parse the raw data and metadata automatically. The materials developed in this study was adopted to Boston Dynamics SPOT, a quadruped robot. Autonomous data survey of 360-picture and environment sensor was tested in two construction sites and the robot worked as intended. As a further study, development on the autonomous data survey to improve the convenience and productivity will be continued.

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Smart Store in Smart City: The Development of Smart Trade Area Analysis System Based on Consumer Sentiments (Smart Store in Smart City: 소비자 감성기반 상권분석 시스템 개발)

  • Yoo, In-Jin;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.25-52
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    • 2018
  • This study performs social network analysis based on consumer sentiment related to a location in Seoul using data reflecting consumers' web search activities and emotional evaluations associated with commerce. The study focuses on large commercial districts in Seoul. In addition, to consider their various aspects, social network indexes were combined with the trading area's public data to verify factors affecting the area's sales. According to R square's change, We can see that the model has a little high R square value even though it includes only the district's public data represented by static data. However, the present study confirmed that the R square of the model combined with the network index derived from the social network analysis was even improved much more. A regression analysis of the trading area's public data showed that the five factors of 'number of market district,' 'residential area per person,' 'satisfaction of residential environment,' 'rate of change of trade,' and 'survival rate over 3 years' among twenty two variables. The study confirmed a significant influence on the sales of the trading area. According to the results, 'residential area per person' has the highest standardized beta value. Therefore, 'residential area per person' has the strongest influence on commercial sales. In addition, 'residential area per person,' 'number of market district,' and 'survival rate over 3 years' were found to have positive effects on the sales of all trading area. Thus, as the number of market districts in the trading area increases, residential area per person increases, and as the survival rate over 3 years of each store in the trading area increases, sales increase. On the other hand, 'satisfaction of residential environment' and 'rate of change of trade' were found to have a negative effect on sales. In the case of 'satisfaction of residential environment,' sales increase when the satisfaction level is low. Therefore, as consumer dissatisfaction with the residential environment increases, sales increase. The 'rate of change of trade' shows that sales increase with the decreasing acceleration of transaction frequency. According to the social network analysis, of the 25 regional trading areas in Seoul, Yangcheon-gu has the highest degree of connection. In other words, it has common sentiments with many other trading areas. On the other hand, Nowon-gu and Jungrang-gu have the lowest degree of connection. In other words, they have relatively distinct sentiments from other trading areas. The social network indexes used in the combination model are 'density of ego network,' 'degree centrality,' 'closeness centrality,' 'betweenness centrality,' and 'eigenvector centrality.' The combined model analysis confirmed that the degree centrality and eigenvector centrality of the social network index have a significant influence on sales and the highest influence in the model. 'Degree centrality' has a negative effect on the sales of the districts. This implies that sales decrease when holding various sentiments of other trading area, which conflicts with general social myths. However, this result can be interpreted to mean that if a trading area has low 'degree centrality,' it delivers unique and special sentiments to consumers. The findings of this study can also be interpreted to mean that sales can be increased if the trading area increases consumer recognition by forming a unique sentiment and city atmosphere that distinguish it from other trading areas. On the other hand, 'eigenvector centrality' has the greatest effect on sales in the combined model. In addition, the results confirmed a positive effect on sales. This finding shows that sales increase when a trading area is connected to others with stronger centrality than when it has common sentiments with others. This study can be used as an empirical basis for establishing and implementing a city and trading area strategy plan considering consumers' desired sentiments. In addition, we expect to provide entrepreneurs and potential entrepreneurs entering the trading area with sentiments possessed by those in the trading area and directions into the trading area considering the district-sentiment structure.

A Study on Residual Pesticides in Commercial Fruits & Vegetables (시중 유통 과채류 중의 잔류농약에 관한 연구)

  • Kim, Young-Gook;Lim, Tae-Gon;Park, Sang-Su;Heo, Nam-Chil;Hong, Suk-Soon
    • Korean Journal of Food Science and Technology
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    • v.32 no.4
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    • pp.763-771
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    • 2000
  • The 88 kinds of pesticide residues were analyzed in 12 kinds(289 samples) of fruits and vegetables brought at department store & mart in Kwangju from Feburary to September in 1999. The detection rate of pesticide residue in 12 kinds(289 samples) of fruits and vegetables was 21.1%, and the rate exceeds standard was 5.2%. The order of highly exceed rate in fruits and vegetables were perilla leaf, lettuce, spinach and chickery. The order of pesticide which founded frequently in fruits and vegetables were procymidone, endosulfan, vinclozoline, chlorpyrifos, cyprermethrin, pirimiphos-M, fenvalerate, fenarimol, and monocrotophos. And that of pesticide which exceed highly standard were procymidone, vinclozolin, endosulfan, pirimiphos-M, fenarimol, monocrotophos, etc. Eight different washing methods were compared for removal efficiencies of residual pesticides(procymidone, vinclozoline) on the perilla leap, the lettuce, the spinach, the strawberry, and the minitomato. Residual pesticides such as procymidone and vinclozoline were removed most efficiently by ultrasonic washing.

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