• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.82-88
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• 2020

With the development of medical care in the 21st century and the rapid development of the 4th industry, electronic devices and household goods taking into account the physical and mental aging of the silver generation have been developed, and apps related to health and health are generally developed and operated. The apps currently used by the silver generation are a form that provides information on diseases by focusing on prevention rather than treatment, such as safety management apps for the elderly living alone and methods for preventing diseases. There are not many apps that provide information on foods that have a direct effect and nutrients in that food, and research on apps that can obtain information about individual foods is insufficient. In this paper, we propose an app that analyzes food factors and provides self-medication for health promotion of the silver generation. This app allows the silver generation to conveniently and easily obtain information such as nutrients, calories, and efficacy of food they need. In addition, this app collects/categorizes healthy food information through a textom solution-based crawling agent, and stores highly relevant words in a data resource. In addition, wide deep learning was applied to enable self-medication recommendations for food. When this technique is applied, the most appropriate healthy food is suggested to people with similar eating patterns and tastes in the same age group, and users can receive recommendations on customized healthy foods that they need before eating. This made it possible to obtain convenient healthy food information through a customized interface for the elderly through a smartphone.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.7
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• pp.99-106
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• 2018

The purpose of this study is to examine adaptation types of urban tissue in Ipjeong-dong area, Seoul. Ipjeong-dong area has urban tissue those were made during Joseon dynasty and this is remaining even in the present time. This area was originally urban hanok residential districts till late 1950s. However, it has changed into machinery manufacture business area after demolition of Cheonggyechon shantytown. After several workshops and stores moved in this area, manufacturer and merchants required for more spaces due to lack of room for machinery. To place more workshops in the block, lot alteration were happened and accessibility to workshops inside the block were required. Adaptive road network which is main form of adaptative urban tissue were made to adapt in this kind of poor urban condition. To research about adaptive urban tissue making, distribution were explored and comparison tasks between various cadastral map of 1940, 1964, 1970s and 2017 were conducted. From these tasks, certain types of adaptive urban tissues and characteristics of these elements were found. First of all, forms of adaptive road depend on the surrounded environment. Connecting internal building corridor with original road system is categorized as Type A. Altering a portion of the buildings to make adaptive roads is categorized as Type B. Second, there were two types of formation of adaptive road. Type 1 is for adaptive road which is independent gesture from original road network. Type 2 is for adaptive road which is altering the form of original road network by lengthening or connecting two different dead-end roads.

• The Korean Journal of Franchise Management
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• v.11 no.1
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• pp.7-17
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• 2020

Purpose - As the competition in the foodservice franchise industry and the market becomes fierce and the entry barrier is lowered, the foodservice franchisor and franchisees strive to increase their competitive advantage in the market. Therefore, the franchisor and franchisees use experience management strategies to enhance the positive experiences of customers visiting the stores. In this regard, this study examines the effects of customer-oriented activities (physical-, social-, health-, and service-oriented activities) on utilitarian and hedonic values, and loyalty using stimulus-organism-response (S-O-R) model and value-expectancy theory. Research design, data, methodology - The data were collected from panels of online survey company, who visited a foodservice franchisee within last month. The survey was conducted for about 15 days from March 7, 2019 to March 21, 2019, and about 3,500 e-mails and messages were distributed to ask for the survey. A total 412 responded and completed the questionnaires. Of the 412 completed questionaires, 12 were discarded due to missing and misinformation data and 400 were retained for further data analysis. Results --The results showed that social oriented activities, health oriented activities, and service oriented activities had positive effects on hedonic value, while physical oriented activities did not have a significant effect on hedonic value. Health oriented activities and service oriented activities had positive effects on utilitarian value, while physical oriented activities and social oriented activities had no significant effects on utilitarian value. Hedonic and utilitarian values also have a positive effect on loyalty. Conclusions - First, food service franchises should provide services and menus in consideration of the health of customers. When a customer visits the store, franchisee should provide more health-oriented food or materials and clean and comfortable conditions so as not to threaten the health of the customer. Second, the food service franchise must build a service-oriented system. Foodservice franchisor need to provide continuous service training not only to the franchisees, but also to the employees of the franchisees. Third, franchise should design a store where customers can form social exchanges through providing various information exchange to customers and making the store as a local community center.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1687-1692
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• 2019

In the era of the fourth industrial revolution, advanced technologies such as the Internet of Things(IoT) and big data are emerging. However, the level of application of IoT to indoor environment is very weak. Therefore, it is necessary to develop a system for analyzing air pollutants or indoor air quality through real-time monitoring using the IoT. This paper implements a system that measures indoor environmental values using Arduino and various sensors, and stores the information obtained from various sensors into a database of server. The information stored in the server was built as a database and utilized in the ventilation system or air cleaner installed in the home or company's room. In the proposed system, it is possible to check the immediate indoor environmental condition through the LED status display of the monitoring sensor module while reducing the cost of the sensor used to implement IoT technology.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.7-14
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• 2022

Unlike general maps, the underground geospatial Information is a system made to view underground information in a 3D shape. This system is managed by a tile maps to lighten the data. But there are various underground structures in the basement, and the structures are made of 3D data, so the data size is large. Therefore, when a client mobile program requests a tile map, the service server fetches the requested tile map from the DB server and transmits ti to the client, but there is a transmission delay time problem. In this paper, we design the tile cache method to improve the request response speed for the tile map data provided to the client in the mobile underground geospatial information system. We propose a method in which a service server predicts and prefetchs the next tile map while the client is viewing tile map, and stores the prefetching data in the memory of client mobile terminal. Then, the transmission delay time problem can be solved.

• Fashion & Textile Research Journal
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• v.24 no.3
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• pp.279-288
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• 2022

This study aims to derive the need for middle-aged women to consider using fashion product applications, styling, and personalized styling services. To analyze the fashion styling considerations of middle-aged women, 200 women in their 40s and 50s were surveyed. Middle-aged women usually tend to shop through home shopping, department stores, fashion soho (Small office home office) malls, and open market-type applications, and purchase fashion products more than two or three times a month, spending an average of less than 50,000 won per month. Middle-aged women consider choosing appropriate clothing based on the occasion and place, complementing the flaws of the changed body type as well as taking into account the weather in the styling process, and seek to showcase a sophisticated, luxurious, and youthful image through styling. However, they are confused and face difficulties in fashion styling, with regard to not only overall body shape but also partial body changes, such as increasing waistline, flabby thighs and arms, and decreasing hip volume. In addition, middle-aged women were looking for expert advice on styling to help them look the best. They also wanted to solve the difficulties of making a right choice amid the overflowing information related to fashion. The results of the study contribute to identifying products that meet the needs of middle-aged women and help develop detailed consumer-tailored marketing strategies, thereby improving sales of fashion products.

• The Korean Journal of Franchise Management
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• v.13 no.4
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• pp.13-22
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• 2022

Purpose: Brand hearsay refers to information that can be acquired from advertisement, media publicity, and word-of-mouth prior to experiencing products or services of brands. Previous information about brands obtained through brand hearsay affects consumer behavior in choosing brands. Moreover, brand hearsay is an effective communication method in promoting brands to consumers. Thus, bakery franchises need to improve strengths and differentiate characteristics of their brand, thereby attracting more consumers. Therefore, this study investigates relationships the effect of brand hearsay on consumers' brand attitude and brand loyalty in the context of franchised bakery brands. Research design, data, and methodology: A research model was proposed to examine structural relationships between brand hearsay (advertising, publicity, word-of-mouth), brand attitude, and brand loyalty. An online survey was conducted to consumers who had an experience of visiting a franchise bakery. A total of 513 responses were used for data analysis. SPSS 22.0 was used for analyzing general demographics, and SmartPLS 4.0 was used to test validity and reliability of the proposed model. Result: Among attributes of brand hearsay, advertisement and word-of-mouth had positively significant effects on brand attitude, but no significant effect was found between publicity and attitude. Advertisement had a positively significant impact on brand loyalty, while publicity had a negative effect on brand loyalty opposite to hypothesis. Moreover, brand attitude had a statistically significant effect on brand loyalty. Conclusions: In the context of franchise bakeries, brand hearsay contents may change consumers' attitude toward brands but does not increase brand loyalty. Though media publicity does not affect consumers' attitude toward brands, it may decrease brand loyalty when consumers are too exposed to it. In addition, it is necessary to enhance brand attitude to increase brand loyalty of customers. This study provides bakery franchisors and franchisees information about which type of brand hearsay (e.g., advertisement, word-of-mouth, media, publicity) is effective in enhancing brand attitudes and loyalty of consumers. Further studies may include other variables (e.g., trust) in addition to attitude and loyalty, or compare findings based on brand characteristics (e.g., low-to-medium/high prices, store size).

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.1-15
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• 2022

The purpose of this study is to compare and analyze the perception of men's fashion before and after the COVID-19 pandemic. TEXTOM allowed the collection of Big Data based on the term 'men's fashion'. As for the data collection periods, Jan. 1, 2018 to Dec. 31, 2019 was set as the pre-COVID-19 era, while Jan. 1, 2020 to Dec. 31, 2021 was set as the post-COVID-19 era. The top 50 words in terms of appearance frequency were extracted from the data. The extracted words were processed using network centrality analysis and CONCOR analysis using Ucinet 6. Research findings were as follows. 1) In the pre-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'men's fashion', 'brand', 'daily look', 'suit', and 'department store'. These words came up with a high TF-IDF values. Network centrality analysis discovered that 'men', 'fashion', 'men's fashion', 'brand', and 'suit' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and styles', 'fashion show', 'purchase', and 'collection'. 2) In the post-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'brand', 'men's fashion', 'discount', 'women', and 'luxury'. These words also displayed high TF-IDF values. Network centrality analysis found that 'fashion', 'men', 'brand', 'men's fashion', and 'discount' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and style', 'fashion show', 'purchase', and 'situation'. 3) Before the outbreak of the pandemic, men were interested in suits to wear to the office, daily look, and fashion shows in Milan and Paris. They often purchased menswear in multi-brand and open stores. However, they were more interested in sneakers, casual styles, and online fashion shows as social distancing and working from home became common. Most purchased menswear through online platforms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1525-1530
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• 2021

By applying AI-based efficient inventory management and logistics optimization technology using the smart factory's production plan and manufacturing data, the company's productivity improvement and customer satisfaction can be expected to increase. In this paper, we proposed a system that collects data from the factory's production process, stores it in the cloud, and uses the manufacturing data stored there to apply AI-based supply chain optimization technology later. While the existing system supported approximately 10 to 20 data types, the proposed system is designed and developed to support more than 100 data types. In addition, in the case of the collection cycle, data can be collected 1-2 times per second, and data collection in TB units is possible. Therefore This system is designed to be applied to the existing factory of past in addition to the smart factory.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.5
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• pp.9-15
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• 2022

Discarded bio-wastes, such as seeds and rinds, cause environmental problems. Multiple studies have recycled bio-wastes as eco-friendly energy sources to solve these problems. This study uses bio-waste to fabricate a mandarin peel powder based triboelectric nanogenerator (MPP-TENG). The MPP-TENG is based on the contact separation mode. It generates an open-circuit voltage and short-circuit current of 156V and 2µA, respectively. In addition, MPP-TENG shows stable operation over continuous 3000s without any deviation in output. Also, the device exhibits maximum power density of 5.3㎼/cm² when connected to a resistance of 100MΩ. In an energy storage capacity test for 1000s, the MPP-TENG stores an energy of 171.6µJ in a 4.7µF capacitor. The MPP-TENG can power 9 blue LEDs and 54 green lettering LEDs. These results confirm that the MPP-TENG can provide a new avenue for eco-friendly energy harvesting device fabrication.