• 대한인간공학회지
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• 제36권3호
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• pp.183-196
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• 2017

Objective: The purpose of this research was to assess the agreement between job physical risk factor analysis by ergonomists using ergonomic methods and physical examinations made by occupational physicians on the presence of musculoskeletal disorders of the upper extremities. Background: Ergonomics is the systematic application of principles concerned with the design of devices and working conditions for enhancing human capabilities and optimizing working and living conditions. Proper ergonomic design is necessary to prevent injuries and physical and emotional stress. The major types of ergonomic injuries and incidents are cumulative trauma disorders (CTDs), acute strains, sprains, and system failures. Minimization of use of excessive force and awkward postures can help to prevent such injuries Method: Initial data were collected as part of a larger study by the University of Utah Ergonomics and Safety program field data collection teams and medical data collection teams from the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). Subjects included 173 male and female workers, 83 at Beehive Clothing (a clothing plant), 74 at Autoliv (a plant making air bags for vehicles), and 16 at Deseret Meat (a meat-processing plant). Posture and effort levels were analyzed using a software program developed at the University of Utah (Utah Ergonomic Analysis Tool). The Ergonomic Epicondylitis Model (EEM) was developed to assess the risk of epicondylitis from observable job physical factors. The model considers five job risk factors: (1) intensity of exertion, (2) forearm rotation, (3) wrist posture, (4) elbow compression, and (5) speed of work. Qualitative ratings of these physical factors were determined during video analysis. Personal variables were also investigated to study their relationship with epicondylitis. Logistic regression models were used to determine the association between risk factors and symptoms of epicondyle pain. Results: Results of this study indicate that gender, smoking status, and BMI do have an effect on the risk of epicondylitis but there is not a statistically significant relationship between EEM and epicondylitis. Conclusion: This research studied the relationship between an Ergonomic Epicondylitis Model (EEM) and the occurrence of epicondylitis. The model was not predictive for epicondylitis. However, it is clear that epicondylitis was associated with some individual risk factors such as smoking status, gender, and BMI. Based on the results, future research may discover risk factors that seem to increase the risk of epicondylitis. Application: Although this research used a combination of questionnaire, ergonomic job analysis, and medical job analysis to specifically verify risk factors related to epicondylitis, there are limitations. This research did not have a very large sample size because only 173 subjects were available for this study. Also, it was conducted in only 3 facilities, a plant making air bags for vehicles, a meat-processing plant, and a clothing plant in Utah. If working conditions in other kinds of facilities are considered, results may improve. Therefore, future research should perform analysis with additional subjects in different kinds of facilities. Repetition and duration of a task were not considered as risk factors in this research. These two factors could be associated with epicondylitis so it could be important to include these factors in future research. Psychosocial data and workplace conditions (e.g., low temperature) were also noted during data collection, and could be used to further study the prevalence of epicondylitis. Univariate analysis methods could be used for each variable of EEM. This research was performed using multivariate analysis. Therefore, it was difficult to recognize the different effect of each variable. Basically, the difference between univariate and multivariate analysis is that univariate analysis deals with one predictor variable at a time, whereas multivariate analysis deals with multiple predictor variables combined in a predetermined manner. The univariate analysis could show how each variable is associated with epicondyle pain. This may allow more appropriate weighting factors to be determined and therefore improve the performance of the EEM.

• 한국토양비료학회지
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• 제50권5호
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• pp.434-451
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• 2017

For this study, groundwater samples for 3 years from 2011 through 2013 were collected at 106 groundwater monitoring site in Korea. These groundwater samples were analyzed for 13 pesticides such as cabofuran, pentachlorobenzene, hexachlorobenzene, simazine, atrazine, lindane (gamma-HCH), alachlor, heptachlor, chlordane (total), endosulfan (1, 2), dieldrin, endrin, 4,4-DDT. The objectives of this study were to determine the detection frequency and their concentrations of 13 pesticides and evaluate the health risk level considering ingestion, inhalation, and skin contact using concentrations of 13 pesticides in groundwater samples. An analysis was used for the simultaneous determination for 13 pesticides using GC-MS. GC-MS was performed on HP-5ms, using helium ($1ml\;min^{-1}$) as carrier gas. The average recoveries of the pesticides were from 92.8% to 120.8%. The limits of detection (LODs) were between $0.004{\mu}g\;L^{-1}$ and $0.118{\mu}g\;L^{-1}$ and the limits of quantification (LOQs) were between $0.012{\mu}g\;L^{-1}$ and $0.354{\mu}g\;L^{-1}$. 106 groundwater wells were selected. 54 wells were from well to monitor background groundwater quality and 52 wells were from well to monitor groundwater quality in industrial or contamination source area. Eight pesticides including pentachlorobenzene, lindane (Gamma-HCH), heptachlor, chlordane (total), Endosulfan (1, 2), dieldrin, endrin, and 4,4-DDT were not detected in groundwater samples. The detection frequency for hexachlorobenzene, alachlor, carbofuran and simazine was 23.4%, 11.4%, 7.3%, and 1.0%, respectively. Atrazine was detected once in 2011. The average concentrations were $0.00423{\mu}g\;L^{-1}$ for carbofuran, $0.000243{\mu}g\;L^{-1}$ for alachlor, $0.00015{\mu}g\;L^{-1}$ for simazine, and $0.00001{\mu}g\;L^{-1}$ for hexachlorobenzene. The detection frequency of hexachlorobenzene was high, but the average concentration was low. In the contaminated groundwater, the detection frequency for hexachlorobenzene, alachlor, carbofuran, simazine and atrazine was 26.1%, 21.3%, 7.1%, 1.9% and 0.3%, respectively. In the uncontaminated groundwater, detection frequency for hexachlorobenzene, carbofuran and alachlor were 20.2%, 7.5%, and 1.9% respectively. Simazine and atrazine were not detected at uncontaminated groundwater wells. According to the purpose of groundwater use, atrazine was detected for agricultural groundwater use. Hexachlorobenzene showed high detection frequency at agricultural groundwater use area where the animal feeding area and golf course area were located. Alachlor showed more than 50% detection frequency at cropping area, pollution concern river area, and golf course area. Atrazine was detected in agricultural water use area. By land use, the maximum detection frequency of alachlor was found near an orchard. For human risk assessment, the cancer risk for the 5 pesticides was between $10^{-7}$ and $10^{-10}$, while the non-cancer risk (HQ value) was between $10^{-4}$ and $10^{-6}$. For conclusion, these monitoring study needs to continue because of the possibility of groundwater contamination based on various purpose of groundwater use.

• 한국운동역학회지
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• 제21권5호
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• pp.541-550
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• 2011

The purpose of this study was to investigate the kinematic characteristics of the $5^{th}$ and $6^{th}$ hurdle clearances during the final of the 100-m hurdles event at the IAAF World Championships, Daegu 2011. To this end, the hurdling motions of the top 4 ranked female hurdlers in the competition were analyzed. A total of 12 cameras were used to record their motions, with a sampling frequency of 120 Hz. The cameras were calibrated using $11{\times}2{\times}1\;m$ control objects that covered all of the lanes ($1^{st}{\sim}8^{th}$ lanes). After analyzing all the data, we arrived at the following results. For the take-off phase, a negative relationship between the take-off time (CT) and athlete's rank was found. In addition, the average distances from the hurdle to take-off (L1) were shown to be 2.23 m and 2.17 m for the $5^{th}$ and $6^{th}$ hurdles, respectively. For the distance from the hurdle to landing (L2), Pearson ($1^{st}$ rank) and Carruthers($2^{nd}$ rank) showed inconsistent patterns whereas Harper ($3^{rd}$ rank) and Porter ($4^{th}$ rank) showed consistent patterns. All althetes revealed similar 3 steps patterns between hurdles, which consisted of a shorter $1^{st}$ step, longer $2^{nd}$ step and shorter $3^{rd}$ step.

• 한국운동역학회지
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• 제21권5호
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• pp.521-528
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• 2011

The purpose of this study was to analyze the kinematic characteristics of the finalists in the women's 100 m event to provide important information to coaches and athletes. Three different biomechanics techniques were applied for analyzing sprinter motion: LAVEG, a panning technique, and 12 video cameras for 3 dimensional analysis of the 40 m - 70 m portion of the race. Carmelita Jeter(USA) performed the maximum speed of 10.54 m/s at the distance of 58.2 m. There was a tendency to show a better performance time with a high number of steps (p=.13) and shorter stride length (p=.14) among the 8 sprints. Furthermore, the stride frequency and the performance time were negatively correlated as a higher stride frequency had a positive impact on the performance time (p=.02). Based on 3 dimensional analysis, the 4 top ranked sprinters used the different strategies to maintain a high COM (Center of Mass) velocity during the mid portion of the race (40 m - 70 m). Carmelita Jeter(USA) showed more flexed knee and hip motion at heel contact (HC) to maintain a high COM velocity while S.A. Fraser-Pryce (JAM) showed more extended knee and hip motion at HC. On the other hands, Veronica Campbell-Brown (JAM) and Kelly-Ann Baptiste (TRI) showed a tendency to have high knee lifts during the swing phase to maintain the high COM velocity during the race. These biomechanical analyses of the women's 100 m final event in the 2011 WC, Daegu, will provide important scientific information to coaches and athletes for understanding the sprinting mechanism of today's top-class sprinters.

• 한국환경복원기술학회지
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• 제13권4호
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• pp.30-41
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• 2010

Research was initiated to investigate germination characteristics and germination pattern of creeping bentgrass (CB, Agrostis palustris Huds.). Seven varieties of CB were evaluated in the study. An alternative condition for a CB germination test required by International Seed Testing Association (ISTA) was applied in the experiment, consisting of 8-hr light at $25^{\circ}C$ and 16-hr dark at $15^{\circ}C$ (ISTA conditions). Daily and cumulative germination patterns were measured and analyzed on a daily basis. Significant differences were observed in germination pattern, days to the first germination, days to 50% germination, days to 85% germination, and germination percentage. Germination rates were different among the treatments at the end of study. There were significantly considerable variations in early germination characteristics and germination pattern among CB varieties. The first germination in all entries was initiated between 4 and 5 DAS (days after seeding) under ISTA conditions. Generally, the first germination percentage was 5 to 25%. However, such Penn-series varieties as Penn A-1, Penn A-4 and Penncross were much more vigorous over others, resulting in 50 to 75% in the first germination percentage. It took 4 to 10 DAS in reaching to days to the 50% germination, being 5 days in difference among the varieties. Days to the 85% germination were 5.90 to 11.75 DAS under ISTA conditions, being 5.85 days in variety difference. It means 1 to 2 days after days to 50% germination. Penn A-1 was the fastest variety, while T-1 the slowest one. Considering days to the first germination, days to 85% germination, and germination pattern etc, Penn A-1, Penn A-4, Penncross and L-93 were regarded as excellent varieties under ISTA conditions. From this study, in-depth information on germination characteristics and pattern would be usefully applied for golf course design and construction, when established with CB.

• 한국운동역학회지
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• 제12권2호
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• pp.207-214
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• 2002

본 연구는 임팩트 시에 클럽페이스의 면을 3차원적으로 분석해 보고자 한다. 또한 숙련자와 초보자간에 차이를 비교, 분석하여 초보자의 퍼팅 스트로크 기술을 향상시키는 기초자료를 제공하는데도 그 목적이 있다. 이를 위하여 숙련된 골퍼 5명과 골프경험이 전혀 없는 학생 5명 등, 총 10명이 피험자로 연구에 참여하였다. 실험은 실내의 인조잔디에서 실시되었으며, 잔디에 지름 0.108 미터의 흘을 파서 실제 그린과 동일한 상황을 만들었다. 클럽페이스의 면을 정의하기 위하여 헤드부분의 toe, heel, 그리고 neck에 각각 지름 0.01 미터 의 마커를 부착하였으며, AG 456 비디오카메라(60Hz, 1/500s) 두 대를 이용하여 움직임을 기록하였다. 클럽페이스의 움직임을 3차원적으로 분석한 결과 다음과 같은 결론을 얻었다. 첫째, 클럽의 좌우 움직임에 영향을 주는 면의 움직임이 숙련자의 경우 평균 1도로 매우 작은 반면에 초보자들은 평균 6도 이상이었다. 둘째, 숙련자들은 클럽의 움직임보다 손의 움직임이 빨라서 볼을 낮게(클럽페이스를 닫은 상태로 임팩트) 보낼 수 있으나, 초보자들은 클럽보다 손의 움직임이 느려서 볼을 높게(클럽페이스를 열은 상태로 임팩트) 보낸다. 셋째, 클럽헤드의 입사와 반사각도 비는 전체적으로 1:3-4 이나, 임팩트 존에서의 비는 1:2 정도이다. 넷째, 숙련자의 수직벡터 방향은 초보자의 수직벡터 방향보다 퍼트 선 방향에서 볼 때 이탈각도가 작다. 퍼팅 스트로크는 볼과 클럽, 그리고 볼과 그린의 접촉에 따라서 결과가 나타나는 종목이다. 따라서 퍼터의 움직임도 중요하지만 볼의 움직임과 그린의 역할도 함께 연구가 병행되어야 한다.

• 한국운동역학회지
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• 제12권2호
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• pp.197-206
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• 2002

본 연구는 숙련자와 초보자간의 퍼팅 스트로크 특성을 비교하여 바람직한 모델을 제시하고자, 프로골퍼 5명과 아마추어골퍼 5명 등 10명을 대상으로 실험을 실시하였다. 실험은 실내의 인조잔디에서 진행되었으며, 퍼팅거리는 3 m 였다. 두 대의 AG 456 비디오카메라(60Hz, 1/500 s)를 이용하여 퍼팅 스트로크 전과정과 볼의 움직임을 녹화하였으며, 이때 실험오차를 최소화하기 위하여 움직임 크기에 알맞은 통제점틀($0.3{\times}0.3{\times}1.0m$)을 제작하여 사용하였다. 본 실험의 연구결과에 따르면 퍼터의 전체 움직임에서는 퍼팅라인 방향 이동 변위 중 폴로스루 구간과 전체구간에서 숙련자와 초보자간에 매우 의미있는 차이(p<.001)가 있었다. 퍼터의 이동시간에서는 전체스윙시간에서 초보자들이 숙련자들보다 매우 의미 있는 차이(p<.0001)로 빠르게 클럽을 이동시키는 것으로 나타났다. 임팩트 지역에서 동일한 시간(0.167 초) 동안에 클럽의 퍼팅라인 방향 움직임에 있어서는 초보자가 숙련자보다 평균차이 4.258cm 더 많이 움직였으며, 임팩트 시점에서 스위트 스폿의 속도는 초보자가 평균차이 0.2578 m/s 더 빠른 것으로 나타났다. 볼에 직접적인 영향을 주는 임팩트 직전(-0.0167s)에서 임팩트(0.0000s)까지의 변위 벡터의 방향은 숙련자의 경우에 퍼트 선과거의 일치하는 반면에 초보자들은 퍼트 선과 어긋났다. 클럽헤드의 스윙궤도는 숙련자가 inside to inside 인 반면에 초보자는 outside to inside로 나타났다. 퍼팅 스트로크는 볼과 클럽의 접촉에 의한 결과이므로 클럽의 움직임도 중요하지만 볼이 움직인 결과도 매우 중요하다. 따라서 볼의 움직임에 대한 연구도 병행되어야 한다.

• 한국산학기술학회논문지
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• 제15권6호
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• pp.3490-3498
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• 2014

본 연구는 골프연습장의 유형에 따라 소비자가 지각하는 서비스기대 및 품질, 골프연습장 선택이유, 고객만족 및 고객충성도와의 인과관계를 규명하고, 그 차이를 분석하고자 서울시와 경기도, 부산시, 대구시, 광주시 소재 골프연습장을 이용하는 소비자들을 대상으로 조사한 후 다음과 같은 결론을 얻었다. 실내 외 골프연습장의 선택이유는 고객충성도에 직접적인 영향을 미치지는 않으나 고객만족과 서비스기대를 통해 고객충성도에 간접적인 영향을 미치는 것으로 나타났다. 서비스품질의 경우 실내골프연습장은 실외골프연습장과 다른 차별화된 서비스를 제공할 필요가 있다. 실내 외 골프연습장 모두에서 고객만족은 서비스품질과 고객충성도의 관계를 강화시켜 주는 중요한 매개변수로 나타났다. 이상의 결과 급속하게 증가하고, 다양화하는 골프연습장의 신규와 재방문을 높이기 위해서는 차별적인 서비스 제공과 운영관리 등을 통해 골프연습장의 긍정적 이미지와 충성도, 만족도 등을 창출하여야 하고, 고객만족 경영을 위하여 이를 지속적으로 관리해야 할 것으로 사료된다.

• 아시안잔디학회지
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• 제23권1호
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• pp.91-100
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• 2009

본 연구의 목적은 퇴비단여과법(SCB)을 통해 생성된 액비의 골프장에의 적용가능성과 자연순환농업정책의 새로운 수요처로서 적합성여부를 평가하기 위해 SCB가 크리핑벤트그래스의 생육과 토양특성변화에 미치는 영향을 조사하고자 2008년 4월부터 10월까지 6개월간 수행하였다. 처리구는 비료를 처리하지 않은 무처리구(NF), 대조구(CF), SCB 1L와 2L를 처리한 S-1, S-2 등 4개 처리를 난괴법으로 수행하였다. 시비 후 엽색지수, 엽록소함량 및 잔디 생육량 등 잔디 생육을 조사하였고, 그 결과를 요약하면 아래와 같다. NF와 비교한 결과, 엽색지수는 CF, S-1 및 S-2에서 각각 1.8%, 1.8%, 3.3% 증가하였고, 엽록소함량은 13%, 14%, 20% 증가하였으며, 잔디의 총건물중은 CF, S-1 및 S-2에서 모두 18% 증가하였다. SCB 액비의 시비는 질소 시비량이 대조구의 1/2수준인 S-1은 대조구와 비슷하고, 질소시비량이 대조구와 동일한 S-2는 대조구보다 엽록소함량이 증가였다. 본 결과들을 통해 SCB 액비의 시비는 잔디 생육을 향상시키고, 골프코스관리에서 자연순환형농업을 통해 잔디관리가 가능할 것으로 평가되었다.

• Weed & Turfgrass Science
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• 제3권2호
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• pp.143-149
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• 2014

본 연구는 아메리카동애등에분변토(soldier fly casts; SFC)의 단점을 개량하기 위해 코코피트(cocopeat; Coco)와 혼합된 토양개량제의 골프장 토양개량제로서의 사용가능성을 평가하기 위해 모래와 혼합비율 별 물리화학성을 조사하였다. 토양개량제는 SFC, Coco, 25% SFC+75% Coco(Mix1), 50% SFC+50% Coco (Mix2) 및 75% SFC+25% Coco (Mix3)이었고, 각각 3%, 5%, 7% 및 10% 씩 혼합되어 모래상토를 조성하였다. SFC, Mix1, Mix2 및 Mix3는 토양 pH와 EC에서 고도의 상관성(P<0.01)을 나타내어 토양개량제의 혼합에 의해 모래상토의 토양화학성에 영향을 주었다. SFC, Coco, Mix1, Mix2 및 Mix3은 모세관공극, 비모세관공극 및 공극이 USGA기준에 적합하였고, 혼합비율이 증가할수록 모세관공극과 총공극이 증가하였으며(P<0.05), Mix1과 Mix3의 비모세관공극은 모세관공극과 수리전도도에서 부의 상관성을 보였다(P<0.01). Mix1, Mix2 및 Mix3에서 SFC는 상토의 모세관공극의 변화에 영향을 주었고, Coco는 모세관공극과 총공극의 변화에 영향을 주었다. 이들 결과를 종합할 때, SFC와 Coco가 혼합된 토양개량제(Mix1~3)는 SFC보다 모래상토의 모세관 공극과 수리전도도를 개선하여 SFC의 단점을 보완한 것으로 평가되었다.