• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.1
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• pp.16-28
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• 2016

The study was conducted to compare and analyze the importance and performance of leisure destination selection attributes of persons who use recreational forests and rural tourism villages. This researcher investigated the use patterns of users to identify the ground for connection between recreational forest and rural tourism village, analyzed their recognition differences in physical selection attribute, program selection attribute, and service selection attribute in order for leisure destination selection, and conducted importance-performance analysis(IPA analysis) to draw a plan for connection. The main results and suggestions are presented as follows. First, recreational forests were visited by family users in order for rest and emotional cultivation and provided experience programs using simple public interest function of forest, whereas rural tourism villages were visited by family users, friends and co-workers, groups and club members to experience a variety of annual programs and understand regional cultures. It was found that it was necessary to connect natural forest with rural tourism village in order to meet the leisure needs of the people changed in diversified ways. Secondly, it was found that the connection between rural tourism village and recreational forest visited mainly for simple rest led to positive visit intention of users. It was expected that there will be various kinds of uses, including experience program participation, child education, and safe accommodations security. In other words, the connection between recreational forest and rural tourism village is an alternative to trigger actual demands and recreational forest activities with high quality. Thirdly, in the case of users of recreational forests, their performance of all selection attributes was lower than their importance of them. Therefore, overall improvements were needed. In particular, needed were the diversity, benefit, and promotion of programs, improvements in locality(themes), supply of lodges and convenient facilities, booking system, the purchase system of local special products, and professional skills of operators and managers. On contrary, the performance of program selection attribute of rural tourism village was high. Therefore, it was found that program attribute of rural tourism village was the main connection factor to activate recreational forest use. Fourthly, according to IPA analysis, the proper connections between loges, convenient facilities, and nearby touristattractions, which give high expectations and satisfaction to users, needed to remain. And it was required to make common efforts to accomplish the goal (income creation) of rural tourism village and improve booking system for visitors and performance of local special products sales opportunity. In addition, the essential factors to induce users' leisure destination selection were found to be maintenance of the use fee system of recreational forest, diversity of rural tourism village program, and retention of locality.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.77-87
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• 2019

This study is to identify the factors affecting commuting time and modes in urban and rural areas using household traffic survey data. The findings indicated that commuting time using passenger car in rural areas was 1.6 times longer than those in urban areas. When citizen use public transportation, however, there was not much difference in commuting time in urban and rural areas. Among the various factors affecting commuting time in rural areas (13 factors have statistical significance), the most influential factors were that public transportation, managers and office workers, functional and device managers, and passenger car. In urban areas, the highly influential factors were public transportation and walking among the 16 affecting factors which have statistical significance. The commuting time in rural areas increased according to the occupation types, but the commuting time of full-time workers decreased. This phenomenom means that occupation groups with the full-time system prefer residential areas in the densely populated town.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.6
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• pp.843-852
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• 2022

Despite continuous safety management, the death rate of construction workers is not decreasing every year. Accordingly, various studies are in progress to prevent construction site accidents. In this paper, we developed an AI-based priority inspection target selection model that preferentially selects sites are expected to cause construction accidents among construction sites with construction costs of less than 5 billion won (KRW). In particular, Random Forest (90.48 % of accident prediction AUC-ROC) showed the best performance among applied AI algorithms (Classification analysis). The main factors causing construction accidents were construction costs, total number of construction days and the number of construction performance evaluations. In this study an ROI (return of investment) of about 917.7 % can be predicted over 8 years as a result of better efficiency of manual inspections human resource and a preemptive response to construction accidents.

• Journal of Korean Society of Forest Science
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• v.85 no.3
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• pp.396-408
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• 1996

The purposes of this study were to standardise the forest working system to design the intensity of working system in felling operation of the thinning forest in our country as well as to contrive the improvement of working method and the increase of productivity. For the purpose of investigating these, element working was classified by felling operation in softwood thinning forest, and a pulse rate were measured and analyzed. The results were as follow : 1. From the analysis of the pulse frequence measurment, the average pulse showed 108 pulse per minute for worker A in the total of pure working time, 130 pulse per minutes for worker B, 119 pulse per minute for worker C and 125 pulse per minute for worker D, respectively. 2. From the results of the pulse frequence analysis according to element working classification, the highest pulse frequence represented 115 pulse per minute for worker A in the circumference, 131 pulse per minute for worker B in the movement, 122 pulse per minute for worker C in the limbing operation and 128 pulse per minute for work D in hang-up. 3. If the original pulse frequence was 100% for workers, the working intensity showed as follow : worker A was 160%(original pulse frequence was 61=100%) for the total of the working intensity and 188% for the circumference among element working. Worker B was 220%(original pulse frequence was 57=100%) for the total of the working intensity and 229 for movement among element working. Worker C was 159%(original pulse frequence was 73=100%) for the total of the working intensity and 168% for limbing operation among the element working. Worker D was 156%(original pulse frequence was 70=100%) for the total of working intensity and 182% for hang-up among element working. 4. At the limit point of Labor performance rating, showing the total of working intensity, overtime pulse rate per minute was 30 for worker A, 207 for worker B, 14 for worker C and 67 for worker D. Worker B was highest in working intensity, and got physically a big load.

• Journal of the Korean Wood Science and Technology
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• v.49 no.6
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• pp.616-642
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• 2021

Improving public awareness of wood is essential for achieving the goal of establishing wood culture by expanding the use of wood. This study presents a basic examination of the strategy of revitalizing wood culture and a survey of its current status and requirements. The survey was divided into seven categories: awareness of wood culture; use characteristics of wood culture; preference and demand for wood culture; awareness of sub-fields of wood culture; awareness of the cultural resources of wood; trends of wood utilization; and wood-related living environment. Based on the survey results, the study analyzed four items: awareness of wood and cultural experience; awareness of the cultural resources of wood; wood-related living environment and trends of wood utilization; and preference and demand for wood culture. In this study, the public awareness of wood and cultural experiences, the first of four items, was analyzed using the survey results. Generally, wood and wood culture are viewed as materials and a cultural heritage, respectively. Moreover, wood is ecofriendly. However, no substantial difference was observed between the two perceptions. Forty-five percent of the respondents reported that using wood exerts a positive effect on the body and mind. However, such use also destroys forests. Additionally, the recognition of wood-related workers, such as engineers or skilled workers, was relatively low compared with educators, such as wood education experts. Moreover, less than 50% of the respondents answered that major projects related to wood culture are well-known, whereas 30% participated in wood education, such as woodworking experience, where the majority required hand tools. Furniture, wooden accessories, and wooden buildings were among the objects that individuals intended to make through the wood culture program. Approximately 23% of the respondents were aware about the wood culture experience center, while approximately 50% had visited it. The response rate to woodworking technology was 73%, where the highest response was found for wood education experts. To improve public awareness about wood, the importance of entertainment factors over educational factors should be considered in the experience of individuals. To provide opportunities to experience wood culture for more individuals, developing and actively promoting various contents, including entertainment elements, are necessary.

• Safety and Health at Work
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• v.11 no.2
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• pp.178-186
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• 2020

Background: Cognitive impairment is a public health burden. Our objective was to investigate associations between work hours and cognitive function. Methods: Multi-Ethnic Study of Atherosclerosis (MESA) participants (n = 2,497; 50.7% men; age range 44-84 years) reported hours per week worked in all jobs in Exams 1 (2000-2002), 2 (2002-2004), 3 (2004-2005), and 5 (2010-2011). Cognitive function was assessed (Exam 5) using the Cognitive Abilities Screening Instrument (version 2), a measure of global cognitive functioning; the Digit Symbol Coding, a measure of processing speed; and the Digit Span test, a measure of attention and working memory. We used a prospective approach and linear regression to assess associations for every 10 hours of work. Results: Among all participants, associations of hours worked with cognitive function of any type were not statistically significant. In occupation-stratified analyses (interaction p = 0.051), longer work hours were associated with poorer global cognitive function among Sales/Office and blue-collar workers, after adjustment for age, sex, physical activity, body mass index, race/ethnicity, educational level, annual income, history of heart attack, diabetes, apolipoprotein E-epsilon 4 allele (ApoE4) status, birth-place, number of years in the United States, language spoken at MESA Exam 1, and work hours at Exam 5 (β = -0.55, 95% CI = -0.99, -0.09) and (β = -0.80, -1.51, -0.09), respectively. In occupation-stratified analyses (interaction p = 0.040), we also observed an inverse association with processing speed among blue-collar workers (adjusted β = -0.80, -1.52, -0.07). Sex, race/ethnicity, and ApoE4 did not significantly modify associations between work hours and cognitive function. Conclusion: Weak inverse associations were observed between work hours and cognitive function among Sales/Office and blue-collar workers.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.203-208
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• 2022

The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

• Journal of People, Plants, and Environment
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• v.22 no.2
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• pp.119-126
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• 2019

This study was conducted to examine effects of community gardening on job stress and job satisfaction experienced by public officials in general administration working in a 24-hour shift. The subjects were public officials at the Center for Missing Children in the Department of Women and Adolescents at the National Police Agency. The center receives initial reports of disappearance of missing children, the elderly with dementia, and people with intellectual disabilities, sends out the report to each police station, and clears the report after the missing individual is found. Twelve public officials working at the center in a double shift (full day off after a night shift, four-day interval) were grouped into four teams and total 11 of them participated in the experiment. They engaged in autonomous community gardening activities such as sowing seeds, cultivating plants, harvesting, or cooking in the workplace for five weeks from August 19 to September 22, 2018. The findings were as follows. After five weeks of autonomous gardening activities, job stress of the subjects decreased significantly. Their mean scores of job satisfaction and organizational commitment under organizational effectiveness showed a significant increase after the activities. Finally, there were significant differences in their self-esteem after participating in the gardening activities in the workplace. These results suggest that gardening activities in the workplace can help to manage job stress and quality of work life for shift workers.

• Journal of Korean Society of Forest Science
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• v.80 no.2
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• pp.220-231
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• 1991

The main purpose of this research is to standardize the logging operation with special reference to the net working time for thinning. This study was carried out to obtain the standard working method and working technique for Korean logging operation through the comparison of the present Korean working method and the German standard working method 1. The net working time devided into work elements showed little difference between those two working methods. 2. From the correlation analysis, net working time was significantly correlated with breast height diameter, the dependant variable, with the highest correlation coefficient in each species. 3. Total working time increases by 11 to 13 seconds to every 1 centimeter increase in breast height diameter from i to 16 centimeter. 4. The result of this study concluded that the German working method is recommended for improving the labour problems in the forest operation due to high wages and lack of manpower gradually increasing from now in Korea. In addition to the application of this standard working method, the technical training for the method should be done to the workers for improving the productivity.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.4
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• pp.304-311
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• 2013

There have been increasing cases for farmers to install automated weather stations (AWS) at their farms and orchards in order to take countermeasures to more frequent weather disasters caused by climate variability and weather extremes. Although raw data are the same, the additive values as agrometeorological information may vary depending on data processing methods. User demands on appropriate information could also be different among crop species, cropping systems and even cultivars. We designed an internet based AWS data processing and display system to help diverse users (e.g., farmers), extension workers to access their weather data on specific demands. The system was implemented at a rural catchment with 52 $km^2$ land area where 14 automated weather stations are in operation. This note introduces the system and describes the major modules in detail. By linking regional AWS networks, a feasibility for this system as an early warning system is also discussed.