• Design & Manufacturing
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• v.14 no.4
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• pp.17-24
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• 2020

Products for heating indoors in low temperature and dry winter are largely divided into products using fossil fuels and products using electricity. The fossil fuels can warm the entire space by convection, but there is a high risk of fire and the frequent ventilation due to the increase in carbon monoxide and carbon dioxide. Heaters using electricity are mainly used because they are convenient to use and are cheap. However, these products can not efficiently warm the air because they use radiation energy. In other words, only the front part exposed to the heater is warm, and the rear part has no heating effect at all. Also, because it emits a large amount of light, fatigue of the eyes is very high. Another problem is that when using electric heaters, the room tends to be dry by high heat. Indoor humidity maintenance is a very important factor in the prevention and treatment of respiratory diseases. Especially, it is essential for health care for infants, bronchial organs and people with weak respiratory because humidity is low in winter. In this study, we conducted a study to develop a product that can improve heating efficiency while maintaining proper indoor humidity by combining heat energy and moisture particles. The concept of humidification and heating at the same time, moisture particles generated in the humidifier pass through the heater, include thermal energy, and the moisture particles with thermal energy are diffused into the space by forced convection, thereby warming the entire space. In addition, the heating time is shortened as the feeling temperature is increased with the high relative humidity, and this has the effect that the heating cost in winter is reduced.

• Journal of Environmental Health Sciences
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• v.47 no.1
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• pp.78-86
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• 2021

Objectives: The purposes of this study were to investigate the installation rates and status of indoor smoking rooms in public facilities and to determine the level of compliance level with smoke-free policies in accordance with the National Health Promotion Act. Methods: A visiting survey was conducted on 1,206 public facilities in the Seoul Metropolitan Area and the Daegu and Gyeongsangbuk-do Province area. Researchers selected public facilities such as bars, coffee houses, and internet cafes using convenient sampling. They visited without prior notice, checked the existence of indoor smoking rooms, and recorded their status. Results: Internet cafes (110/116) had the highest installation rate of indoor smoking rooms, followed by bowling clubs (17/19) and billiard rooms (87/100). Depending on the type of business, 50-88% of smoking rooms were not completely enclosed. Coin karaoke rooms showed the least inadequacy in this regard. In addition, out of 512 smoking rooms, in 33% (n = 169) smoking indoors was observed in non-smoking areas. Only 9% of public facilities were in full compliance with the indoor smoke-free regulation. Conclusions: It was found that most of the public facilities with indoor smoking rooms did not comply with the smoke-free policy, and smoking was still observed inside some facilities. Therefore, there is a need for a policy that prohibits indoor smoking rooms completely.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1376-1383
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• 2020

Although studies on fire evacuation systems are increasing, studies on the evacuation of evacuees in indoor spaces are insufficient. According to the latest research, it has been suggested that the use of high frequency might be effective for identifying the location of evacuees indoors. Accordingly, in this paper, the authors intend to develop evacuation location recognition technology and fire evacuation guidance system using high-frequency and a smartphone. The entire system was developed, including an app server, evacuees location recognition unit, an evacuation route search, an output unit, and a speaker unit based on Wi-Fi communication. The experimental results proved the possibility of the effectiveness of the system in the fire situation data. It is expected that this study could be used as an essential study of a fire evacuation guidance system using high frequency data in case of fire.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.80-87
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• 2021

Aging is rapidly progressing around the world. This study explore and propose a qualitative user research method to specifically understand the needs and desires of the elderly based on a human-centered design philosophy for design targeting the increasing elderly. In particular, the purpose of this study is to propose a user research method that can be easily used when designing products used by the elderly in the actual design site. For this purpose, this study examined the use and implications of using shadowing, interviews, and direct experience while actually proceeding with the walking stick design. The shadowing was organized through the AEIOU frame, and the interview was conducted by adding a significance category to reflect the recent trend of the silver generation. For the direct experience, design implications were derived by setting up four user behavior scenarios, each indoors and outdoors, and experiencing them directly by designers. This study is expected to be an important user research guideline in the current situation where the demand for design for the elderly is diversifying and increasing.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.29-41
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• 2021

This study was conducted to identify the interest, needs, and preferences for forest healing programs of patients with chronic diseases. A total of 227 individuals with chronic diseases who were admitted to a university hospital were surveyed on the needs and preferences of forest healing programs. The participants of this study were 111 patients (48.9%) with cardiovascular disease, 88 patients (38.8%) with gastrointestinal diseases, 39 patients with musculoskeletal disease (17.2%), and 78 patients (34.3%) with other diseases. About 51% of all participants had heard of the forest healing programs, but 94.3% of the participants said they had no experience in participating. The frequency of forest visits was the most often once a month or not, and the reason for not being able to participate in forest healing programs was "because there was no time to spare." The participants generally preferred a small group programs with family members or their friends for one day or two days. The preferred seasons were spring and autumn, and the preferred time zones were morning and weekend, and the participants preferred outdoor programs rather than indoors. An important factors of the programs were dense forests, trees, landscape, sound, and fresh air. These preferences can be applied when developing forest healing programs for patients with chronic diseases.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.15-21
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• 2022

With the spread of COVID-19 and restrictions on outdoor exercise, the number of users using motion sensing games indoors is increasing. An avatar-type character design customization system on behalf of gamers is one of the important research topics for developers in that it can increase the game's appeal to gamers. In this paper, a motion sensing game with high sales volume and character customization is selected as a game analysis case. Through the analysis of the character customization system of the three selected games, important elements of the customization system were extracted. Finally, the shortcomings of the motion sensing game character customization system were derived, and improvement plans were presented for the selection system, transformation system, and partial system. It is expected that this proposal will serve as a reference for designing a motion sensing game character customization system in the future.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.235-242
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• 2021

Recently, many human activity recognition(HAR) researches using smartphone sensor data have been studied. HAR can be utilized in various fields, such as life pattern analysis, exercise measurement, and dangerous situation detection. However researches have been focused on recognition of basic human behaviors or efficient battery use. In this paper, exercising activities performed indoors and outdoors were defined and recognized. Data collection and pre-processing is performed to recognize the defined activities by SVM, random forest and gradient boosting model. In addition, the recognition result is determined based on voting class approach for accuracy and stable performance. As a result, the proposed activities were recognized with high accuracy and in particular, similar types of indoor and outdoor exercising activities were correctly classified.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.563-572
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• 2021

Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.85-91
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• 2022

As emphasized in the COVID-19 quarantine guidelines, hand washing is the most important prevention rule in tandem with distancing and mask. This study aimed to confirm relevant factors that affect practice of hand washing to find out approach for improvement of hand washing practice rate after COVID-19. Using the 2020 Community Health Survey data. As methods of research, this study searched for relevance by carrying out univariate logistic regression analysis, and also conducted multivariate logistic regression analysis using significant variables. Analysis results show that hand washing practice rate was high in females, well-educated, low age, cities, office job, the more people wear a face mask indoors, the higher the cycle of ventilation, the higher the cycle of disinfection and the more people maintain healthy distance. This study understood factors related to the rate of hand washing practice and results can be used as basic data for COVID-19 quarantine guidelines.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.1
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• pp.9-17
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• 2022

As the COVID-19 pandemic situation worsens, the time spent indoors increases, and the exposure to indoor environmental pollution such as indoor air pollution and noise also increases, causing problems such as deterioration of human health, stress, and discord between neighbors. This paper designs and implements a system that measures and monitors indoor air quality and noise, which are representative evaluation criteria of the indoor environment. The system proposed in this paper consists of a particulate matter measurement subsystem that measures and corrects the concentration of particulate matters to monitor indoor air quality, and a noise measurement subsystem that detects changes in sound and converts it to a sound pressure level. The concentration of indoor particulate matters is measured using a laser-based light scattering method, and an error caused by temperature and humidity is compensated in this paper. For indoor noise measurement, the voltage measured through a microphone is basically measured, Fourier transform is performed to classify it by frequency, and then A-weighting is performed to correct loudness equality. Then, the RMS value is obtained, high-frequency noise is removed by performing time-weighting, and then SPL is obtained. Finally, the equivalent noise level for 1 minute and 5 minutes are calculated to show the indoor noise level. In order to classify noise into direct impact sound and air transmission noise, a piezo vibration sensors is mounted to determine the presence or absence of direct impact transmitted through the wall. For performance evaluation, the error of particulate matter measurement is analyzed through TSI's AM510 instrument. and compare the noise error with CEM's noise measurement system.