Journal of the Korea Institute of Building Construction
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v.18
no.6
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pp.603-609
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2018
It has been widely-reported that the quality of life in Korea is lower than that of the economic growth. In particular, construction managers are reported to have a lower quality of life compared to people in other job types due to the specific nature of the tasks they have to carry out. These include early work attendance time and fewer holidays. In this respect, the aim of this study is to analyse construction managers' requirements on work-life balance. The results showed that the working hours of construction managers were long and their leisure hours were shorter. The requirements for work-life balance were in the order of non-working time, working time, salary, and job security. The requirements by group showed a statistically significant difference in work hours. The requirements on the shortening of work hours were highest in the group of "section chiefs and deputy heads" and lowest in the group of "department heads" and up. It is hoped that the results of this study will be used as basic data for future government-level policy making and construction companies' business directions in relation to the improvement of workers' work-life balance.
Purpose: The purpose of this study is to enable users to conveniently report risks by automatically classifying risk categories in real time using AI for images reported in the life safety prevention service app. Method: Through a system consisting of a life safety prevention service platform, life safety prevention service app, AI model serving server and sftp server interconnected through the Internet, the reported life safety images are automatically classified in real time, and the AI model used at this time An AI learning algorithm for generation was also developed. Result: Images can be automatically classified by AI processing in real time, making it easier for reporters to report matters related to life safety.Conclusion: The AI image automatic classification system presented in this paper automatically classifies reported images in real time with a classification accuracy of over 90%, enabling reporters to easily report images related to life safety. It is necessary to develop faster and more accurate AI models and improve system processing capacity.
Kim, Young-Bok;Kim, Myung;Chung, Chee-Kyung;Lee, Won-Chul
Journal of Preventive Medicine and Public Health
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v.34
no.3
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pp.237-243
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2001
Objectives : To examine the screening rate of cervical cancer in women and to find out the predictive factors for participation in cervical cancer screening programs within their life-time and within the last two years. Methods : The data was based on self-reported questionnaires from 1,613 women whose ages ranged from 26 to 60 years; this survey was peformed between December 1999 and January 2000. This study analyzed the predictive factors for participation in cervical cancer screening programs within their life-time and within the last two years. A logistic regression analysis was performed in order to derive the significant variables from the predisposing factors(demographic factor, health promotion behavior, reproductive factor), intervention factors(information channel, relation with medical stan, and proximal factors(attitude, social influence, self-efficacy). All analyses were peformed by the PC-SAS 6.12. Results : Our analyses showed that the screening rate for the women who received a cervical cancer screening(Pap smear) more than once within their life-time was 56.1% while those who had received one within the last two years was 34.5%. The significant factors for participation in cervical cancer screening program within their life-time were their income, married age, health promotion score, relation with medical staffs, social influence, and self-efficacy. On the other hand, age, number of pregnancies, menarche age, relation with medical staffs, social influences, and self-efficacy were significant factors for those being screened within the last two years. The predictive power of the logit model within their life-time was 68.8% and that within the last two years was 66.6%. Conclusion : The predictive factors for participation in cervical cancer screening program within their life-time are different from those for within the last two years. and that women's relations with medical staffs and social influences were the critical factors impacting on cervical cancer screening rates.
Purpose & Design/methodology/approach Amidst the COVID-19 spread, interest in telework has been increasing as a way to respond to environmental changes and improve organizational performance. In this study, causal loop diagram, thinking process, and four principles of TRIZ were used to find various ways to achieve work-life balance for workers and firms in teleworking environment. Findings The result of the causal loop diagram shows that keeping work-life balance is needed to provide free extra time for workers and achieve the firm's performance through efficient coordination between departments in teleworking environment. Using thinking process of TOC, we proposed a evaporating cloud for work-life balance and reviewed assumptions and premises to maintain extra free time for workers and achieve firm's performance paradoxically, and suggested solutions through the breakdown of the assumptions and premises. Resolving the contradiction(RC) by spatial separation is to divide working spaces into home, smart center, and mobile work types, to find both ways to achieve the organizational performance, and to provide extra time for workers. RC by temporal separation is to divide working time into various unit time, and to find ways to achieve organizational performance through doing work at office or home periodically or shiftly according to a predetermined schedule and time setting. RC by situational separation is to give options of flexible methods of performing work according to the conditions of the company or the worker. RC by separation between part and a whole is to find ways to organize and do the work so that the entire work can be completed efficiently even if each work is performed separately in teleworking way. This study is meaningful in that it provides basic thinking framework for achieving work-life balance in teleworking environment and proposes ways to resolve conflict from various perspectives, but it is limited in that it has not been tested empirically.
This study examined the relations of educational level and life-style behaviors to the obesity. A total of 507 male adults aged 30 - 50 years completed the self-reported questionnaires. Educational level was used for measuring socioeconomic status. Activity at work, leisure-time activity and TV watching were measured for life-style behaviors related to physical activity, and some demographic and family history of disease as well. Subjects were categorized as obese when BMI was equal to or over 25kg/$m^2$, in which 19.7% resulted obesity. Using multivariate logistic regression, the association between the measured factors and obesity was assessed. The odds ratios (OR) for risk of obesity did not differ with either age or monthly income. Subjects who completed high school (OR = 0.36; 95% CI = 0.20 - 0.66) or university (OR = 0.34; 95% CI = 0.16 - 0.71) had lower risk of obesity than those with education below middle school. Those with moderate activity level at work (OR = 0.41; 95% CI = 0.24 - 0.72) showed lower risk of obesity than in inactive ones. The subjects watching TV more than 3.5 hr/day presented higher risk of obesity (OR = 2.46; 95% CI = 1.28 - 4.74), compared with those watching TV less than 1.5 hr/day. The higher risk of obesity observed in high level of leisure time activity than in low one was considered due to that physical activity at work and leisure-time might counteract each other. Educational level and activity at work or leisure-time activity or TV watching were jointed and categorized, and then OR for obesity was estimated. The extent of obesity risk at a given level of each work activity or leisure-time activity or TV watching was different depending the educational level, which was significantly high when educational level was below middle school. Educational difference had no effect on activity level at work. However, higher educational attainment increased the leisure activity and reduced TV watching (p<0.05), indicating that low education tended to contribute to more sedentary life-style. The findings of this study is concluded that low education was related to obesity in adult males, and its relation can partly be explained through acquiring inactive life-style behaviors. Individuals with low education might be more susceptible to the risk factors of obesity.
Journal of the Korean institute of surface engineering
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v.45
no.1
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pp.20-24
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2012
Multilayer passivation film on OLED with organic/inorganic hybrid structure as to diminish the thermal stress and expansion was researched to protect device from the direct damage of $O_2$ and $H_2O$ and improve life time characteristics. Red OLED doped with 1 vol.% Rubrene in $Alq_3$ was used as a basic device. The films consist of ITO(150 nm)/ELM200_HIL(50 nm)/ELM002_HTL(30 nm)/$Alq_3$: 1 vol.% Rubrene(30 nm)/$Alq_3$(30 nm) and LiF(0.7 nm)/Al(100 nm) which were formed in that order. Using LiF/$SiN_x$ as a buffer layer was determined because it significantly improved life time characteristics without suffering damage in the process of forming passivation film. Multilayer passivation film on buffer layer didn't produce much change in current efficiency, while the half life time at 1,000 $cd/m^2$ of OLED/LiF/$SiN_x$/E1/$SiN_x$ was 710 hours which showed about 1.5 times longer than OLED/LiF/$SiN_x$/E1 with 498 hours. futhermore, OLED/LiF/$SiN_x$/E1/$SiN_x$/E1/$SiN_x$ with 1301 hours showed about twice than OLED/LiF/$SiN_x$/E1/$SiN_x$ which demonstrated that superior characteristics of life time was obtained in multilayer passivation film. Through the above result, it was suggested using LiF/$SiN_x$ as a buffer layer could reduce the damage from the difference of thermal expansion coefficient in OLED with protective films, and epoxy layer in multilayer passivation film could function like a buffer between $SiN_x$ inorganic layers with relatively large thermal stress.
In this paper, we proposed low power algorithm for a task. The task means the inside of a necessary processor and external resources to work accomplishment of a system. Each task analyzes a life time and a number of called for implement a low power circuit. First of all, reduce power consumption of a task have maximum power consumption for low power circuit implementation. Therefore, first selecting a task had maximum power consumption. The task had a maximum power consumption ranking consider a life time and a number of called for each task. While a life time of task is long, top priority ranking to decrease power consumption to the task that the number of call generates the power consumption how a disguise is large in case of a lot of task becomes. Frequency decision to have minimum power consumption, and decrease power consumption all the circuit by a change of frequency of the task which the minimum task that a wasting past record is the maximum becomes. Also, keep continuously minimum power consumption, with every effort task until last life time in opening life time, and decrease gets total power consumption. Experiments results show reduction in the power consumption by 5.43% comparing with that [7] algorithm.
Cryo-electron microscopy (cryo-EM) is now the first choice to determine the high-resolution structures of huge protein complexes. Grids with two-dimensional arrays of holes covered with a carbon film are typically used in cryo-EM. Although semi-automatic plungers are available, notable trial-and-error is still required to obtain a suitable grid specimen. Herein, we introduce a new method to obtain thin ice specimens using real-time measurement of the liquid amounts in cryo-EM grids. The grids for cryo-EM strongly diffracted laser light, and the diffraction intensity of each spot was measurable in real-time. The measured diffraction patterns represented the states of the liquid in the holes due to the curvature of the liquid around them. Using the diffraction patterns, the optimal time point for freezing the grids for cryo-EM was obtained in real-time. This development will help researchers rapidly determine high-resolution protein structures using the limited resource of cryo-EM instrument access.
The purpose of this study was to determine the effect of sedentary time on quality of life and oral health-related behaviors using the Korean National Health and Nutrition Examination Survey. A total of 19,983 data were analyzed using the IBM SPSS 25.0 program, and complex sample logistic regression analysis was performed to confirm the effect of sedentary time on health-related quality of life and oral health-related behaviors. As a result, the longer the sitting time, the worse the quality of life (p<.05). There was an increase in the number of cases of not brushing (p<.05). Also, as for dental treatment, the longer the sitting time, the more prophylactic treatment and periodontal treatment increased (p<.05). Therefore, it is judged that it can be used as basic data to improve the quality of life and increase oral health-related behaviors in consideration of the socio-demographic characteristics of prolonged sedentary time.
A guideway vehicle is used in automobile, semiconductor and LCD manufacturing industries to transport products efficiently. Since the operating speed of the guideway vehicle should be increased for maximum productivity, the weight of the vehicle has to be reduced. This may cause parts in the system to fail before the life of the system. Therefore estimation of the fatigue life of the parts becomes an important problem. In this study, the fatigue life of the driving wheel in the guideway vehicle is estimated using a S-N curve. To obtain the fatigue life of a part, the S-N curve, load time history applied on a driving wheel and material property are required. The S-N curve of the driving wheel is obtained using the fatigue experiment on wheels. Load time history of the wheel is obtained from multibody dynamics analysis. To obtain the material properties of the driving wheel, which is composed of aluminum with urethane coating, a compression hardware testing has been done with the static analysis of the FE model. The fatigue life prediction using computational analysis model guarantees the safety of the vehicle at the design stage of the product.
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