• Title/Summary/Keyword: 결과예측

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Mediating Effect of Customer Orientation and Customer Satisfaction Between Entrepreneurship and Financial Performance: Focusing on the Beauty Service Industry (기업가정신과 재무적 성과 간의 고객지향성, 고객만족의 매개효과: 미용 서비스산업 중심으로)

  • Kwak, jinman;Lee, sehee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.6
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    • pp.197-211
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    • 2021
  • In the service industry the types are diversifying and the scale of service companies is greatly improving. Such a phenomenon is caused by economic growth and technological development diversifying consumer needs creating demand for new services maturing the service industry and intensifying competition among companies in the form of global competition. It can be said that this is because it is necessary to improve competitiveness by utilizing the economy of scale. Research is needed on the impact of entrepreneurship on various outcome variables in order for service organization managers to respond quickly to diverse and rapidly changing environments and achieve organizational outcomes and corporate goals of management outcomes. The purpose of this study was to empirically analyze the relationship in which the entrepreneurial spirit of a manager influences the relationship between customer orientation, which is an organizational result, customer satisfaction, and financial result, which is a management result. In order to verify such research, the questionnaire was composed of one business owner questionnaire, two employee questionnaires, and two customer questionnaires. The questionnaire was distributed to a total of 400 companies, and the questionnaires of 340 companies were collected. Of these, 303 companies, excluding the questionnaires of 37 companies with many dishonest or missing values, were used for hypothesis testing. The results of this study can be summarized as follows. First, entrepreneurship had a positive (+) effect on customer orientation, supporting the hypothesis. Second, customer orientation showed a positive (+) effect on customer satisfaction, supporting the hypothesis. Third, customer satisfaction showed a positive (+) effect on financial outcomes, supporting the hypothesis. Fourth, it was found that entrepreneurship influences customer satisfaction through customer orientation, and customer satisfaction affects financial outcomes. It turns out that customer orientation between entrepreneurship and customer satisfaction is completely mediated, and customer satisfaction is completely mediated by customer orientation and financial outcomes. The relationship between entrepreneurship and management improved employee behavior and attitudes, which is an individual outcome, and this change was found to improve customer satisfaction, which is an organizational outcome. It makes frequent contact with customers in the process of servicing them. Employee roles are important at service contacts and influence service purchases. Employees facing customers through service contacts act as a decisive factor in maintaining a continuous relationship with customers. Within a beauty service company, it is necessary to create a customer-oriented environment among workers. It suggests that customer-oriented companies and employees can anticipate their desires and provide products or services of superior value to achieve greater customer satisfaction and a competitive advantage. In addition, it was clarified that customer satisfaction has an aspect relationship with financial management, which is a management result. Therefore, it is suggested that the entrepreneurial spirit is an important factor for the management of a beauty service company to secure competitiveness and improve results.

High-Risk Area for Human Infection with Avian Influenza Based on Novel Risk Assessment Matrix (위험 매트릭스(Risk Matrix)를 활용한 조류인플루엔자 인체감염증 위험지역 평가)

  • Sung-dae Park;Dae-sung Yoo
    • Korean Journal of Poultry Science
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    • v.50 no.1
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    • pp.41-50
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    • 2023
  • Over the last decade, avian influenza (AI) has been considered an emerging disease that would become the next pandemic, particularly in countries like South Korea, with continuous animal outbreaks. In this situation, risk assessment is highly needed to prevent and prepare for human infection with AI. Thus, we developed the risk assessment matrix for a high-risk area of human infection with AI in South Korea based on the notion that risk is the multiplication of hazards with vulnerability. This matrix consisted of highly pathogenic avian influenza (HPAI) in poultry farms and the number of poultry-associated production facilities assumed as hazards of avian influenza and vulnerability, respectively. The average number of HPAI in poultry farms at the 229-municipal level as the hazard axis of the matrix was predicted using a negative binomial regression with nationwide outbreaks data from 2003 to 2018. The two components of the matrix were classified into five groups using the K-means clustering algorithm and multiplied, consequently producing the area-specific risk level of human infection. As a result, Naju-si, Jeongeup-si, and Namwon-si were categorized as high-risk areas for human infection with AI. These findings would contribute to designing the policies for human infection to minimize socio-economic damages.

Comparison of health indicators and lifestyle according to atherogenic index of plasma in Korean adults in their 20s and 30s (한국 20-30대 성인의 Atherogenic Index of Plasma에 따른 건강지표 및 생활습관비교)

  • Bora Hwang;Yoon Jung Yang
    • Journal of Nutrition and Health
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    • v.56 no.2
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    • pp.168-183
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    • 2023
  • Purpose: Cardiovascular disease is one of the major causes of death not only in Korea but also worldwide. Atherogenic index of plasma (AIP) has been extensively investigated, but studies on nutritional intake and eating habits are scarce. The purpose of this study was to analyze the general characteristics, dietary habits, and nutritional status of Korean adults based on their AIP values using data from the 2013-2015 Korea National Health and Nutrition Examination Survey. Methods: A total number of 3,040 adults in their 20s and 30s were included as study subjects. They were divided into quintiles according to their AIP values. Comparisons were then made among the general information, eating habits, and nutritional intake statuses of the groups. Results: The averages of AIP were different by age, obese status, education, occupation, alcohol drinking frequency, smoking, and exercise in men. As for women, the averages of AIP were different by age, obese status, education, occupation, alcohol drinking frequency, and smoking status. Except for high-density lipoprotein (HDL)-cholesterol, higher AIP values in men were associated with significant increasing trends in health indicators, including systolic and diastolic blood pressure, fasting blood glucose, insulin, hemoglobin A1c, total cholesterol, triglyceride, and low-density lipoprotein (LDL)-cholesterol. As for women, as AIP increased, systolic and diastolic blood pressure, fasting blood glucose, insulin, total cholesterol, triglyceride, and LDL-cholesterol showed significant increasing trends except HDL-cholesterol. HDL-cholesterol showed a significant decreasing trend as AIP increased in men and women. In the high AIP group of women, the frequency of breakfast was lower, whereas the frequency of alcohol beverage consumption was higher. Conclusion: Among young adults, the risk of arteriosclerosis was higher in obese, smoking, and non-exercise individuals. More frequent alcohol drink consumption in women is associated with a higher risk of arteriosclerosis. Therefore, weight and lifestyle management are necessary for the prevention of atherosclerosis among young adults.

A Generalized Adaptive Deep Latent Factor Recommendation Model (일반화 적응 심층 잠재요인 추천모형)

  • Kim, Jeongha;Lee, Jipyeong;Jang, Seonghyun;Cho, Yoonho
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.249-263
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    • 2023
  • Collaborative Filtering, a representative recommendation system methodology, consists of two approaches: neighbor methods and latent factor models. Among these, the latent factor model using matrix factorization decomposes the user-item interaction matrix into two lower-dimensional rectangular matrices, predicting the item's rating through the product of these matrices. Due to the factor vectors inferred from rating patterns capturing user and item characteristics, this method is superior in scalability, accuracy, and flexibility compared to neighbor-based methods. However, it has a fundamental drawback: the need to reflect the diversity of preferences of different individuals for items with no ratings. This limitation leads to repetitive and inaccurate recommendations. The Adaptive Deep Latent Factor Model (ADLFM) was developed to address this issue. This model adaptively learns the preferences for each item by using the item description, which provides a detailed summary and explanation of the item. ADLFM takes in item description as input, calculates latent vectors of the user and item, and presents a method that can reflect personal diversity using an attention score. However, due to the requirement of a dataset that includes item descriptions, the domain that can apply ADLFM is limited, resulting in generalization limitations. This study proposes a Generalized Adaptive Deep Latent Factor Recommendation Model, G-ADLFRM, to improve the limitations of ADLFM. Firstly, we use item ID, commonly used in recommendation systems, as input instead of the item description. Additionally, we apply improved deep learning model structures such as Self-Attention, Multi-head Attention, and Multi-Conv1D. We conducted experiments on various datasets with input and model structure changes. The results showed that when only the input was changed, MAE increased slightly compared to ADLFM due to accompanying information loss, resulting in decreased recommendation performance. However, the average learning speed per epoch significantly improved as the amount of information to be processed decreased. When both the input and the model structure were changed, the best-performing Multi-Conv1d structure showed similar performance to ADLFM, sufficiently counteracting the information loss caused by the input change. We conclude that G-ADLFRM is a new, lightweight, and generalizable model that maintains the performance of the existing ADLFM while enabling fast learning and inference.

세계의 유황수급 전망

  • Ceccotti S.P;Messick D.L
    • Proceedings of the Mineralogical Society of Korea Conference
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    • 1996.10a
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    • pp.7-24
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    • 1996
  • '90년대 전반기 중 세계 경제 상황은 정치, 경제 및 환경의 급격한 변화에 따른 불황으로 유황시장에도 심대한 영향을 미치게 되었다. 이와 같은 경기의 후퇴는 다수의 생산자로 하여금 전반적인 시장 상황을 바꿀 수 있는 전략 변경 및 새로운 시장 개발을 촉진시키게 하였다. 최근에 전개되고 있는 극단적인 정치$\cdot$경제적인 변화는 재래시장과 무역균형을 변경시키게 되었다. 개선되는 세계경제에 따른 광범위한 구조조정과 지난 2년간 진행되어온 전반적으로 농업에 유리한 조건에 힘입어 1995년 유황공업은 회복이 시작되어 54.63백만 톤이 생산되었다 국제 유황 무역은 수요와 공급 면에서는 균형을 못 찾고 있다. 1995년 유황생산 중 무역량은 $45\%$에 이르렀다. 유황생산에 영향하는 요소가 변함에 따라 무역의 형태가 변하게 되고 세계 유황 수급 균형에 영향을 주게 되었다. 지난 2년간 있었던 유황생산 회복은 다음 십년간 지속될 것으로 예측된다. 대부분 수요의 증가는 자연가스의 생산을 지배하는 요소에 따라 결정 될 것이다 1986년 이래 유가가 떨어진 후 세계 에너지 수요는 연간 $2.3\%$ 증가하였다. 석유와 가스는 미래 에너지 수요의 증가로 $70\%$이상을 공급하게 될 것이다. 동아시아에서 회수 유황은 원유의 정제로부터 유래된 것으로 가장 신장이 큰 공급원으로 2005년까지 주요유황생산 부분이 될 것이다. 동아시아에서 주요 회수 유황생산국은 일본으로 전체의 $66\%$를 차지한다. 석유 정제로부터 회수 유황생산량은 동아시아에서 증가하고 있다. 유황회수 시설 투자는 일본을 위시하여 한국, 싱가폴 및 태국에서 이루어지고 있으며 이는 점차 증대되는 환경규제에 기인된다. 동아시아 공업국가 예컨대 일본과 한국에서의 유황소비는 인산생산 저조로 정체해 있으나 지난 10년간 여타의 아시아 국가에서의 유황소비는 꾸준히 증가되었다. 이 같은 증가는 앞으로 10년간 계속 될 것으로 추정된다. 이는 유황비료 소비가 4.81백만 톤에서 6.6백만 톤으로 증가될 것으로 예상되고 이는 주로 중국이 내수 인산생산을 증가시키려는 데 기인된다. 더욱이 다가올 10년은 다수의 아시아 국가의 급속한 경제 발전으로 비료 이외의 유황의 소비가 꾸준히 증가 될 것이다. 동아시아는 10.29백만 톤을 생산하고 10.99백만 톤을 소비하여 1995년에는 70만 톤의 유황이 부족하였다. 이와 같은 영향이 계속된다면 동아시아 유황부족은 2005년에는 1.05백만 톤으로 증가될 것으로 예상된다. 그러나 중국에서 황화철에서부터 공급되는 유황함량이 많아 이 지역에서의 원소유황의 진정한 균형에 대해서는 정확하게 평가되지 못한다. 1995년 동아시아에서는 1.3백만 톤의 원소유황을 일본, 캐나다, 미국에서 수입했다. 이들 국가는 앞으로도 이 지역의 주요 공급자가 될 것이다. 황산의 많은 양은 일본에서 이 지역으로 수출되는데 그 양은 1995년 10만톤 이상에 이른다. 더욱이 경제?환경적 이점 때문에 중국이 황화물에서 회수하는 유황대신 원소 유황의 수입을 지속적으로 증가시키고 있어 지역내의 유황 부족이 증가 될 것이다. 이 같은 상황진전으로 앞으로 10년 이내에 2.5백만 톤의 추가시장이 있게 될 것이다. 이 기간내 한국으로서 현재 326,000톤의 부족에서 2005년에는 309,000톤의 과잉으로 유황균형이 변할 수 있는 주요계기가 될 것이다 이 같은 과잉은 회수 유황생산이 1995년 333,000톤에서 2005년 870,000톤으로 $161\%$가 증가될 것으로 예상된다. 동기간 내에 기타 유황생산은 280,000톤에서 320,000톤으로 $14\%$ 증가되는 것으로 추정된다. 그리하여 2005년 한국에서 유황 공급은 1.19백만 톤이고 수요는 881,000톤으로 추정 된다. 미래 한국에서 유황의 또 다른 잠재시장은 식물양분으로서 이다. 인산비료 생산은 유황산업의 골격으로 1995년 세계적으로 인산비료는 유황소비의 53%인 53.60백만 톤을 점유하였다. 작물의 유황결핍 현상은 세계도처에서 나타나고 있어 식물양분으로서 유황시장은 20년전의 시장과 같이 현황을 띠는 시장으로 유황공업이 때를 만나게 될 것이다. 공업국에서 유황의 대기로의 방출억제로 자연 공급량이 감소되고 개발도상국에서 증산으로 유황의 탈취가 증가됨에 따라 유황 부족은 점차 중요한 문제로 확산되고 있다. 세계적으로 $1993\~1994$년간 7.52백만 톤으로 추정되는 유황 부족이 농산물의 수량과 질을 하락시키는 결과를 가져오게 하였다: 이와 같은 현상으로 유황비료의 수요가 증대되었고 산업계는 수요증대에 대응할 기술개발에 노력하게 되었다. 현재의 식량생산과 비료 소비추세가 지속된다면 아시아에서 2000년까지 매년 4.5백만 톤의 유황부족이 있게 될 것이다 이와 같은 유황비료의 부족은 적절한 대책을 취하지 않는 한 2010년에는 6.5백만 톤으로 증가 될 것이다. 동아시아는 경제발전으로 유황비료 장기 잠재시장이 기대되고 새로운 시장으로 $50\%$이상을 점유하게 될 것이다. 서구와 북미에서 유황비료 산업은 이윤 있는 잠재시장으로 인정되고 상업적으로 앞서 있는 시장이다. 점증하는 수요에 대한 대처와 유황비료의 성공은 시장에서 가격에 좌우된다. 실제로 북미와 서구에서 현재의 소매가격은 유황 톤당 $266\~466\$$의 범위에 있다. 인도에서는 비료로서 유황시장은 덜 발달된 단계로서 대표가격은 $120\$$이다. 이 가격 범위로 보아 2010년에 동아시아 시장의 잠재 유황비료 시장은 3.4백만 톤에 이르고 비료공업에서 추가로 얻는 이윤은 408백만 내지 1조5천억$\$$이 될 것이다. 이와 같은 시장이 발전 될 수 있는 것은 계속된 제품개발과 비료산업 시장개척에 달려있다.

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Changes in chemical composition and physiological activity of Jeju-Tatary buckwheat tea according to leaching temperature (제주 타타리메밀의 침출 조건에 따른 제주 타타리메밀침출차의 이화학적 특성 및 생리활성)

  • Hyun-A Ko;Hyun Ju Park;Inhae Kang
    • Journal of Applied Biological Chemistry
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    • v.65 no.4
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    • pp.421-427
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    • 2022
  • In this study, Jeju Tatary buckwheat tea's chemical composition and physiological activities were compared according to the leaching temperature (60, 80, 100 ℃). As the leaching temperature is increased, the degree of browning is induced. However, there was no significant change in pH. The total polyphenol content was higher at 80 ℃ than at 60 ℃ leaching temperature, but significantly decreased at 100 ℃ leaching temperature (60 ℃: 17.06 mg GA/g, 80 ℃: 20.09 mg GA/g, 100 ℃ :18.45 mg GA/g). There were high content of flavonoid and rutin as the leaching temperature increased. Consistently, 2,2-diphenyl1-picrylhydrazyl (DPPH) radical scavenging activity and tyrosinase inhibitory activity were significantly higher with increasing temperature (DPPH % inhibition: 60 ℃: 41.88%, 80 ℃: 46.01%, 100 ℃: 46.80%/tyrosinase inhibitory activity: 60 ℃: 9.38%, 80 ℃: 22.94%, 100 ℃: 28.17%). However, there was no significant difference in DPPH radical scavenging activity between 80 and 100 ℃. A cytotoxicity test was performed by treating with Jeju Tatary buckwheat extract into mouse macrophage cells (Raw264.7). 100 and 200 ㎍/mL treatment (100 ℃ extract) were significantly upregulated the survival rate, but there was no significant difference in other concentrations. Collectively, most of the bioactive components, antioxidant activity, and tyrosinase inhibitory activity were induced as the leaching temperature increased. However, the content of polyphenols which are known to have antioxidant activity, was significantly reduced at 100 ℃ leaching temperature. Several reports have demonstrated that leaching at too high temperature lowered the overall acceptability, so the optimal leaching condition of Tatary Buckwheat is 80 ℃, 5 min in this study.

Analysis of Land Use Characteristics Using GIS DB - A Case Study of Busan Metropolitan City in Korea - (GIS DB를 이용한 토지이용 특성 분석 - 부산광역시 건물 높이 시뮬레이션을 중심으로 -)

  • Min-Kyoung CHUN;Tae-Kyung BAEK
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.3
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    • pp.52-64
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    • 2023
  • As cities continue to develop rapidly, overcrowding, pollution, and urban sanitation problems arise, and the need to separate conflicting uses is emerging. From this perspective, there is no disagreement that urban land use should be planned. Therefore, all activities in land space must be predicted in advance and planned so that land use can be rationally established. This study used the constructed data to compare and analyze the use distribution characteristics of residential, commercial, and industrial areas in Busan Metropolitan City to identify the building area status, total floor area, and floor area ratio by use zone in districts and counties in Busan Metropolitan City. As a result, it was found that the residential area accounted for the largest proportion of the area by use zone at 51%, and that the residential area accounted for the largest proportion at 63% of the total floor area by use zone. And the analysis was conducted using a specialization coefficient that can identify regional characteristics based on land use composition ratio. Because it is difficult to determine the trend of the entire region just by counting the absolute value of the area, the area composition ratio was calculated and compared. Looking at the residential facilities among the specialization coefficients by use area, it is above 1.0 except for Gijang-gun, Sasang-gu, Saha-gu, and Jung-gu. Commercial facilities are over 1.0 except for Gijang-gun, Gangseo-gu, Nam-gu, Sasang-gu, and Saha-gu. Looking at industrial facilities, you can see that the industrial complex distribution area is Gangseo-gu (2.5), Gijang-gun (1.22), Sasang-gu (2.06), and Saha-gu (1.64). In addition, it was found that business facilities and educational welfare facilities were evenly distributed. Land use analysis was conducted through simulation of the current status of building heights according to each elevation in each use area and the height of buildings in each use area. In general, areas over 80m account for more than 43% of Busan City, showing that the distribution of use areas is designated in areas with high altitude due to the influence of topographical conditions.

Phytoplankton Variability in Response to Glacier Retreat in Marian Cove, King George Island, Antarctica in 2021-2022 Summer (하계 마리안 소만 빙하후퇴에 따른 식물플랑크톤 변동성 분석)

  • Chorom Shim;Jun-Oh Min;Boyeon Lee;Seo-Yeon Hong;Sun-Yong Ha
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.417-426
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    • 2023
  • Rapid climate change has resulted in glacial retreat and increased meltwater inputs in the Antarctic Peninsula, including King George Island where Marian Cove is located. Consequently, these phenomena are expected to induce changes in the water column light properties, which in turn will affect phytoplankton communities. To comprehend the effects of glacial retreat on the marine ecosystem in Marian Cove, we investigated on phytoplankton biomass (chlorophyll-a, chl-a) and various environment parameters in this area in December 2021 and January 2022. The average temperature at the euphotic depth in January 2022 (1.41 ± 0.13 ℃) was higher than that in December 2021 (0.87 ± 0.17 ℃). Contrastingly, the average salinity was lower in January 2022 (33.9 ± 0.10 psu) than in December 2021 (34.1 ± 0.12 psu). Major nutrients, including dissolved inorganic nitrogen, phosphate, and silicate, were sufficiently high, and thus, did not act as limiting factors for phytoplankton biomass. In December 2021 and January 2022, the mean chl-a concentrations were 1.03 ± 0.64 and 0.66 ± 0.15㎍ L-1, respectively. The mean concentration of suspended particulate matter (SPM) was 24.9 ± 3.54 mgL-1 during the study period, with elevated values observed in the vicinity of the inner glacier. However, relative lower chl-a concentrations were observed near the inner glacier, possibly due to high SPM load from the glacier, resulting in reduced light attenuation by SPM shading. Furthermore, the proportion of nanophytoplankton exceeded 70% in the inner cove, contributing to elevated mean fractions of nanophytoplankton in the glacier retreat marine ecosystem. Overall, our study indicated that freshwater and SPM inputs from glacial meltwater may possibly act as main factors controlling the dynamics of phytoplankton communities in glacier retreat areas. The findings may also serve as fundamental data for better understanding the carbon cycle in Marian Cove.

Thermal Dynamics of Core and Periphery Temperature during Treadmill Sub-maximal Exercise and Intermittent Regional Body Cooling (트래드밀에서의 최대하 부하 운동과 간헐적 부위별 인체 냉각 시 심부와 말초 부위의 체온 변화)

  • Lee, Joo-Young;Koscheyev, Victor S.;Kim, Jung-Hyun;Warpeha, Joe M.
    • Journal of Korean Living Environment System
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    • v.16 no.2
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    • pp.89-100
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    • 2009
  • The present study was designed to observe the thermal dynamics of core and skin temperatures during sub-maximal treadmill exercise; to investigate the effect of regional body cooling during short rest after the treadmill exercise on the thermal dynamics. Three conditions (No cooling, Head/Hand cooling, Leg cooling) were simulated in a climatic chamber at 24±1℃ and 50±5%RH. Subjects performed two bouts of treadmill exercise at a rate of 80%HRmax followed by rest. Body cooling with a hood, long gloves, and a blanket that circulated water set at 15℃ was assigned during two bouts of rest. The results showed that (1) rectal temperature (Tre) did not show significant difference between three conditions; (2) Skin temperatures had specific features, depending on body regions. In particular, the initial fall phenomena of skin temperatures at the onset of exercise were noteworthy in the chest, thigh, calf, and finger tip. Of these, the most significant initial fall was found in finger temperature (Tfing). (3) During the period of the initial fall in skin temperatures, Tre gradually increased. (4) The magnitude of the fall of Tfing at the onset of 2nd running was on average 4.8, 5.1 and 3.4℃ for Control, HH cooling, and Leg cooling, respectively (p<0.05). The initial drop of Tfing at the onset of running was maintained for an average of 8.1, 7.9 and 6.3 minutes for Control, HH cooling, and Leg cooling, with no significant differences. In conclusion, the initial fall phenomena at the onset of treadmill exercise reflected non-thermal factors, as opposed to internal thermal status. The magnitude of the initial fall in Tfing was affected by legs cooling. Therefore, the initial fall phenomenon should be considered when interpreting the thermal status of the shell during heavy works/exercises that assigned with intermittent regional body cooling.

Development of Tree Carbon Calculator to Support Landscape Design for the Carbon Reduction (탄소저감설계 지원을 위한 수목 탄소계산기 개발 및 적용)

  • Ha, Jee-Ah;Park, Jae-Min
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.1
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    • pp.42-55
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    • 2023
  • A methodology to predict the carbon performance of newly created urban greening plans is required as policies based on quantifying carbon performance are rapidly being introduced in the face of the climate crisis caused by global warming. This study developed a tree carbon calculator that can be used for carbon reduction designs in landscaping and attempted to verify its effectiveness in landscape design. For practical operability, MS Excel was selected as a format, and carbon absorption and storage by tree type and size were extracted from 93 representative species to reflect plant design characteristics. The database, including tree unit prices, was established to reflect cost limitations. A plantation experimental design to verify the performance of the tree carbon calculator was conducted by simulating the design of parks in the central region for four landscape design, and the causal relationship was analyzed by conducting semi-structured interviews before and after. As a result, carbon absorption and carbon storage in the design using the tree carbon calculator were about 17-82% and about 14-85% higher, respectively, compared to not using it. It was confirmed that the reason for the increase in carbon performance efficiency was that additional planting was actively carried out within a given budget, along with the replacement of excellent carbon performance species. Pre-interviews revealed that designers distrusted data and the burdens caused by new programs before using the arboreal carbon calculator but tended to change positively because of its usefulness and ease of use. In order to implement carbon reduction design in the landscaping field, it is necessary to develop it into a carbon calculator for trees and landscaping performance. This study is expected to present a useful direction for ntroducing carbon reduction designs based on quantitative data in landscape design.