• Journal of Bio-Environment Control
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• v.25 no.3
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• pp.206-211
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• 2016

Modified T trellis (MT) and Wakeman trellis (WT) were widely used Korean vineyard because they had an advantage for spur pruning type cultivar such as Campbell Early. In this experiment, we compared labor time and intensity for bunch management between MT and WT trellis systems in 'Campbell Early' grapes. As a result, berry thinning was required 17.3 hours (10a) on the WT trellis but was required 12.3 hours (10a) on the MT trellis. In like manner, bagging was required 10.1 hours (10a) on the WT trellis but was required 8.2 hours (10a) on the MT trellis. On the other hand, labor intensity measured on berry thinning and bagging practices using REBA (Rapid Entire Body Assessment) index, then WT trellis was scored 13.0, but MT trellis was scored 8.6. Meanwhile, MT trellis reduced vigorous growing of internodes length and width on grapevine shoots. Consequently, MT trellis is more convenience trellis for working ergonomically in Korea vineyard.

• Korean Journal of Family Social Work
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• no.43
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• pp.37-59
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• 2014

The purpose of this study is to analyze and find the relative importance of the factors impacting on the intent to leave among the female care worker's the labor properties, Total 540 questionnaire were distributed and collected from 387 female care workers working at the area of Daegu and GyeongBuk. The logistic regression analysis was used to analyze the relative importance among the factors. The results of the study are the followings: Academic ability, lower subjective-evaluation of remuneration, non-business contracts, labor intensity, the relationship between the user, the relationship between the agency providing are factors influencing on the turnover intention. In other words, higher education, lower subjective-evaluation of remuneration, more work than the contract, higher labor intensity, the female care workers have higher probability of turnover intention. Based on the results of the study, this paper suggests some implications as policy and practice.

• Journal of Society of Preventive Korean Medicine
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• v.13 no.3
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• pp.87-99
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• 2009

Objectives : The study was to examine the empirical evidence concerning the effects of massage intervention for the laboring women and to investigate the effect sizes related to the characteristics of intervention. Methods : Meta analysis was performed. A total of 11 trials related to massage intervention between 2000 and 2007 were reviewed. Results : Massage intervention showed a beneficial effect on length of labor(1st stage : U=46.75, p=0.00, 2nd stage : U=6.13, p=0.01), perception of childbirth experience(U=12.57, p=0.00), intensity of uterine contraction at the active(U=6.34, p=0.01) and the transition phases(U=24.83, p=0.00), and interval of uterine contraction at the active phase(U=4.83, p=0.03). Massage decreased systolic(U=10.81, p=0.00) and diastolic blood pressure at the transition phase(U=10.60, p=0.00). However, massage had no effect on subjective and objective labor pain and anxiety. No differences were found in effectiveness of massage according to characteristics of intervention(massage material, massager, and massage site) except for anxiety(QB=4.82, p=0.03) and diastolic blood pressure at the active phase by massage site(QB=4.52, p=0.03). Conclusions :We found that massage intervention for the laboring women had an empirical evidence on improving perception of childbirth experience and shortening length of labor. These results should be interpreted with caution due to the lack of studies. More full-scale randomized clinical trials with reliable designs are recommended to further warrant the effectiveness of massage.

• KDI Journal of Economic Policy
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• v.29 no.1
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• pp.1-39
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• 2007

This study focuses on the possibility that skill-biased technological change is one of the factors for relatively poor employment conditions of the unskilled after the economic crisis. Increasing employment share of skilled workers accompanying with rising wage premium for education since implies that labor demand has shifted toward the skilled. The decomposition of changes in wage share of skilled workers into between-industry and within-industry changes suggests that the increase in the demand for skilled labor has been largely due to within-industry changes, which can be seen as reflecting the effect of the skill-biased technological change. Also the regression results indicate that the employment share of skilled workers has more rapidly increased in the industries with higher ICT (Information Communication Technology) investment intensity since the mid 1990s, hinting to the possibility that skill-biased technological changes may have come from ICT.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.173-198
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• 2018

In this paper, we analyze the determinants of the adoption of industrial robots using the data from 42 countries, and thereby examine the factors underlying the rapid expansion of industrial robots in Korea. To this end, the industrial robot data for the years 2001-2016 were drawn from the World Robotics dataset of the International Federation of Robotics (IFR). The explanatory variables included labor market environment variables and innovation capacity variables extracted from the dataset of the relevant international organizations. For data analysis, the Arellano-Bond dynamic panel analysis was performed to control for the endogeneity problem of some explanatory variables. The empirical results confirmed the exceptionally rapid expansion of industrial robots in Korea as compared to other countries, even when considering the national income level, employment cost, and innovation capacity. This phenomenon could be attributed to both the demand-side and supply-side factors. For one thing, changes in the labor market environment, such as an increase in employment costs, have led to an increase of the corporate demand for industrial robots. For another, the supply-side factors, such as an increase in the capital intensity and innovation capacity of companies, have also contributed to the widespread adoption of industrial robots.

• Safety and Health at Work
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• v.15 no.2
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• pp.172-180
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• 2024

Background: Webtoon, a digital form of comics created in the Republic of Korea, has spread widely with advantages that anyone can become a cartoonist and that autonomy of creation is guaranteed. The purpose of this study is to identify the working conditions of webtoon writers and analyze the relationship between these conditions and depressive symptoms. Methods: A survey was carried out on webtoon writers and a survey data of 312 webtoon writers were analyzed. The questionnaire included basic socio-demographic characteristics, webtoon writers' contractual type, fields of activity (webtoon creator, story writer, illustrator), and working environment (labor discretion etc.). We investigated depressive symptoms and analyzed its relation to the work environment of webtoon writers. Results: Webtoon writers were exposed to long working hours, high labor intensity, limited labor discretion, negative comments from readers, and had a high prevalence of depressive symptoms. Compared to story writers who contracted directly with platforms, story writers and the illustrators who contracted with content providers (CPs) were 9.51 times (OR = 9.51, 95% CI = 1.47 - 61.33) and 6.47 times (OR = 6.47, 95% CI = 1.08 - 38.75) more likely to have depressive symptoms, respectively. Conclusions: This study emphasizes the urgent necessity to improve the overall working environment in the webtoon industry and implement measures to tackle the escalating mental health challenges faced by illustrators and story writers contracted with CPs, especially given the increasing popularity of novel comics.

• Ocean and Polar Research
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• v.37 no.1
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• pp.11-22
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• 2015

In-situ measurements are labor-intensive, time-consuming, and limited in their ability to observe currents with spatial variations in the surf zone. This paper proposes an optical image-based method of measurement of currents in the surf zone. This method measures nearshore currents by tracking in time wave breaking-induced foam patches from sequential images. Foam patches in images tend to be arrayed with irregular pixel intensity values, which are likely to remain consistent for a short period of time. This irregular intensity feature of a foam patch is characterized and represented as a keypoint using an image-based object recognition method, i.e., Scale Invariant Feature Transform (SIFT). The keypoints identified by the SIFT method are traced from time sequential images to produce instantaneous velocity fields. In order to remove erroneous velocities, the instantaneous velocity fields are filtered by binding them within upper and lower limits, and averaging the velocity data in time and space with a certain interval. The measurements that are obtained by this method are comparable to the results estimated by an existing image-based method of observing currents, named the Optical Current Meter (OCM).

• Journal of Welding and Joining
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• v.25 no.4
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• pp.79-85
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• 2007

The industrial disaster caused by a work-related disease like a Musculoskeletal Disorders(MSDs) becomes a big social problem and increases rapidly. This leads to the degradation of the labor desire and the productivity. Welding work belongs to the work with a high intensity. This paper aims to analyze the welding work in the various positions from a view-point of the burden of the human musculoskeletal system and to propose the desired position with lower burden. For this purpose the real welding work was observed in the shipyard and analyzed using the RULA method, a powerful ergonomics tool. The 3-dimensional simulation model fur this work was also developed. In this model, ergonomics human model and welding work environment were built. This model was verified through the comparison to the real work. This paper showed that the improvement of welding position by changing the location of a stool and using some auxiliary tool can reduce the work intensity remarkably and lead to the decrease of MSDs.

• The Journal of Korea Robotics Society
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• v.16 no.3
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• pp.189-198
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• 2021

In this paper, we introduce the software/hardware system that can reliably calculate the distance from sensor to the model regardless of point cloud density. As the 3d point cloud map is widely adopted for SLAM and computer vision, the accuracy of point cloud map is of great importance. However, the 3D point cloud map obtained from Lidar may reveal different point cloud density depending on the choice of sensor, measurement distance and the object shape. Currently, when measuring map accuracy, high reflective bands are used to generate specific points in point cloud map where distances are measured manually. This manual process is time and labor consuming being highly affected by Lidar sparsity level. To overcome these problems, this paper presents a hardware design that leverage high intensity point from three planar surface. Furthermore, by calculating distance from sensor to the device, we verified that the automated method is much faster than the manual procedure and robust to sparsity by testing with RGB-D camera and Lidar. As will be shown, the system performance is not limited to indoor environment by progressing the experiment using Lidar sensor at outdoor environment.

• Korean Journal of Agricultural Science
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• v.39 no.3
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• pp.407-412
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• 2012

Soil texture has an important influence on agriculture such as crop selection, movement of nutrient and water, soil electrical conductivity, and crop growth. Conventionally, soil texture has been determined in the laboratory using pipette and hydrometer methods requiring significant amount of time, labor, and cost. Recently, in-situ soil texture classification systems using optical diffuse reflectometry or mechanical resistance have been reported, especially for precision agriculture that needs more data than conventional agriculture. This paper is a part of overall research to develop an in-situ soil texture classification system using image processing. Issues investigated in this study were effects of sensor travel speed and light source and intensity on image quality. When travel speed of image sensor increased from 0 to 10 mm/s, travel distance and number of pixel were increased to 3.30 mm and 9.4, respectively. This travel distances were not negligible even at a speed of 2 mm/s (i.e., 0.66 mm and 1.4), and image degradation was significant. Tests for effects of illumination intensity showed that 7 to 11 Lux seemed a good condition minimizing shade and reflection. When soil water content increased, illumination intensity should be greater to compensate decrease in brightness. Results of the paper would be useful for construction, test, and application of the sensor.