• Title/Summary/Keyword: Result Analysis and Evaluation

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A study on the activating factors of street spaces - Focused on the analysis of the component factors of streets in Korea and Japan - (가로공간의 활성화 인자에 관한 연구 - 한국과 일본의 가로구성인자분석을 중심으로 -)

  • Rhee, Jae-Won
    • Archives of design research
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    • v.19 no.2 s.64
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    • pp.99-108
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    • 2006
  • Based on the results from the already published 'A study on factors that make busy of street space' and 'A study on street the image evaluation of streetscape', this study is an attempt to explore factors, other than the structural factors, that compose the street space and affect the image of street to be more lively. First of all, this study was mainly concentrated on the structure of street space that fits the theory of the previous two theses, stating that the structural ratio ($D/H=0.5{\sim}2$) gives the street an interesting image. The next study subject was the street space that exhibits the amenity and busy of image according to the space structure ratio. I defined that exhibiting amenity and busy means the activation of the street space, and I attempted to extract the activation factors from the component elements. The street space that shows amenity and busy image after the activation was named as 'lively street space' in this study. Furthermore, I selected 20 street spaces, after classifying the whole, according to nations and local characteristics as the previous theses had done and looked for the 'lively street space', whose structural ratio was not in the range of $D/H=0.5{\sim}2$ and the factors that contributed to the Image. As the result, I founded that in case of the business areas with the ratio of $D/H=0.5{\sim}2$, street activation factors were hydroponic facilities, sidewalks, and wayside buildings and In case of the commercial areas, the factors were sidewalk, wayside buildings, hydroponic facilities, and illumination facilities. Especially, 5 commercial areas in Korea and 1 business areas in Japan did not have the structural ratio of $D/H=0.5{\sim}2$, but still exhibited lively image as streets. This was because aside from the structural element, other street activation factors such as facilities also had major contribution in these streets. In other words, in commercial areas in Korea have wayside buildings, sidewalks, and hydroponic facilities as activating factors, whereas in street spaces in business areas in Japan, hydroponic facilities, wayside buildings, and sidewalk factors are influential to the activation of street spaces.

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Management Strategies of Ventilation Paths for Improving Thermal Environment - A Case Study of Gimhae, South Korea - (도시 열환경 개선을 위한 바람길 관리 전략 - 김해시를 사례로 -)

  • EUM, Jeong-Hee;SON, Jeong-Min;SEO, Kyeong-Ho;PARK, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.1
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    • pp.115-127
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    • 2018
  • This study aims to propose management strategies of ventilation paths for improving urban thermal environments. For this purpose, Gimhae-si in Gyeongsangnamdo was selected as a study area. We analyzed hot spots and cool spots in Gimhae by using Landsat 8 satellite image data and spatial statistical analysis, and finally derived the vulnerable areas to thermal environment. In addition, the characteristics of ventilation paths including wind direction and wind speed were analyzed by using data of the wind resource map provided by Korea Meteorological Administration. As a result, it was found that a lot of hot spots were similar to those with weak wind such as Jinyoung-eup, Jillye-myeon, Juchon-myeon and the downtown area. Based on the analysis, management strategies of ventilation paths in Gimhye were presented as follows. Jinyoung-eup and Jillye-myeon with hot spot areas and week wind areas have a strong possibility that hot spot areas will be extended and strengthened, because industrial areas are being built. Hence, climate-friendly urban and architectural plans considering ventilation paths is required in these areas. In Juchon-myeon, where industrial complexes and agricultural complexes are located, climate-friendly plans are also required because high-rise apartment complexes and an urban development zone are planned, which may induce worse thermal environment in the future. It is expected that a planning of securing and enlarging ventilation paths will be established for climate-friendly urban management. and further the results will be utilized in urban renewal and environmental planning as well as urban basic plans. In addition, we expect that the results can be applied as basic data for climate change adaptation plan and the evaluation system for climate-friendly urban development of Gimhye.

Risk Factors of Neurologic Complications After Coronary Artery Bypass Grafting (관상동맥 우회수술후 신경계 합병증의 위험인자)

  • Park, Kay-Hyun;Chae, Hurn;Park, Choong-Kyu;Jun, Tae-Gook;Park, Pyo-Won
    • Journal of Chest Surgery
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    • v.32 no.9
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    • pp.790-798
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    • 1999
  • Background: As the early outcome after coronary artery bypass grafting(CABG) has been stabilized, neurologic complication has now become one of the most important morbidity. The aim of this study was to find out the risk factors associated with the neurologic complications after CABG. Material and Method: In 351 patients who underwent CABG, the incidence and features of neurologic complications, with associated perioperative risk factors, were retrospectively reviewed. Neurologic complication was defined as a new cerebral infarction confirmed by postoperative neurologic examination and radiologic studies, or delayed recovery of consciousness and orientation for more than 24 hours after the operation. Result: Neurologic complications occurred in 18 patients(5.1%), of these nine(2.6%) were diagnosed as having new cerebral infarctions(stroke). Stroke was manifested as motor paralysis in four patients, mental retardation or orientation abnormality in four, and brain death in one. Statistical analysis revealed the following variables as significant risk factors for neurologic complications by both univariate and multivariate analyses: cardiopulmonary bypass longer than 180 minutes, atheroma of the ascending aorta, carotid artery stenosis detected by Duplex sonography, and past history of cerebrovascular accident or transient ischemic attack. Age over 65 years, aortic calcification detected by simple X-ray, and intraoperative myocardial infarction were significant risk factors by univariate analysis only. Neither the severity of carotid artery stenosis nor technical modifications such as cannulation of the aortic arch or single clamp technique, which were expected to affect the inciden e of neurologic complications, had significant relationship with the incidence. Conclusion: This study confirmed the strong association between neurologic complications after CABG and atherosclerosis of the arterial system. Therefore, to minimize the incidence of neurologic complications, systematic evaluation focused on atherosclerotic lesions of the arterial system followed by adequate alteration of operative strategy is needed.

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Evaluation of Air Ion According to the Distance in Large Flat Park - Focused on Olympic Park in Songpa-gu, Seoul - (대규모 평지형 공원 내 거리별 공기이온 평가 - 서울시 송파구 올림픽공원을 사례로 -)

  • Kim, Jeong Ho;Lee, Sang Hoon;Lee, Myung-Hun;Yoon, Yong Han
    • Korean Journal of Environment and Ecology
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    • v.34 no.5
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    • pp.491-499
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    • 2020
  • Increasing impervious surfaces can cause various physical and mental illnesses as well as further problems like deterioration of the thermal environment and disconnection of the water circulation system in the downtown area. This study is intended to suggest baseline data for the future creation or remodelation of large-scaled urban parks in consideration of human health on the aspect of climate by analyzing air ions condition and correlation analysis between air ions and meteorological elements depending on distances from the center in the urban park. The study site was divided into four types by distances from the center of Olympic Park in Songpa-gu, Seoul, then classified as A and B. After selecting 80 points to record, land coverage and vegetation status were investigated, and then meteorological elements and air ions were measured. First, the green space rate by section is A section Center (90%)> Inner (70%)> Outer-inner (10%) = Outer (10%), B section Center (100%)> Inner (60%)> Outer- In order of inner (30%)> Outer (0%). Second, for weather factors, the temperature was analyzed by Outer (24.18℃) > Outer-inner (22.90℃) > Inner (22.43℃) > Center (21.719℃). For relative humidity, center (46.49%) > Inner (43.36%) > Outer-inner (42.41%) > Outer (38.53%) was analyzed. Third, In the case of cations in the air ions, Outer(435.71ea/㎤) > Outer-inner(415.16ea/㎤) > Inner (389.46ea/㎤) > Center (352.64ea/㎤). In the case of negative ions, Center (569.72ea/㎤) > Inner (499.83ea/㎤) > Outer-inner(410.58ea/㎤) > Outer (292.02ea/㎤). It was analyzed to increase toward Center, and analyzed to decrease with increasing distance from road. For the Air ion index, it was analyzed as Center (1.67) > Inner (1.31) > Outer-inner (1.08) > Outer (0.71). Negative irons was analyzed to increase when its measuring points close to the center and decrease with shortening distance to the road. Fourth, as a result of correlation analysis, positive(+) correlation is negative ions and ion index. These were measured to increase as the recording points closing to the center of the park from the road. The negative(-) correlation is temperature, solar radiation, and positive ions. These increased as getting closer to the road.

Correlation Analysis of Inspection Results and ATP Bioluminescence Assay for Verification of Hygiene Status at 5 Star Hotels in Korea (국내 주요 5성급 호텔의 위생실태 조사와 ATP 결과의 상관분석 평가 연구)

  • Kim, Bo-Ram;Lee, Jung-A;Ha, Sang-Do
    • Journal of Food Hygiene and Safety
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    • v.36 no.1
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    • pp.42-50
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    • 2021
  • Along with the rapid growth of the food service industry, food safety requirements and hygiene are increasing in importance in restaurants and hotels. Accordingly, there is a need for quick and practical monitoring techniques to determine hygiene status in the field. In this study, we investigated 5 domestic 5-star hotels specifically, personal hygiene (hands of workers), cooking utensils (knife, cutting board, food storage container, slicing machine blade, ice-maker scoop) and other facilities (refrigerator handle, sink). In addition, we examined the hygiene management status of customer contact points (tongs for buffet, etc.) to derive the correlation between the ATP values as a, a verification method. As a result of our five-hotel survey, we found that cooking utensils and personal hygiene were relatively sanitary compared to other inspection items (cookware 92.2%, personal hygiene 91.4%, facilities and equipment 76.19%, customer contact items 88.6%). According to our ATP-based mothod, kitchen utensils (51 ± 45 RLU/25㎠) were relatively clean compared to other with facilities and equipment (167 ± 123 RLU/25㎠). In the present study, we also evaluated the usefulness of the ATP bioluminescence method for monitoring surface hygiene at hotel restaurants. After correlation analysis of surveillance of hygienic status points and ATP assay, most results showed negative and high correlation (-0.64--0.89). Our ATP assay (92 ± 67 RLU/25㎠) of each item after cleaning showed signigicantly reduced results compared to the ATP assay (1020 ± 1254 RLU/25㎠) for normal status, thereby indicating its suitability as a tool to verify the validity of cleaning. By our results, ATP bioluminescence could be used as an effective tool for visual numerical evaluation of invisible contaminants.

Evaluation of Future Water Deficit for Anseong River Basin Under Climate Change (기후변화를 고려한 안성천 유역의 미래 물 부족량 평가)

  • Lee, Dae Wung;Jung, Jaewon;Hong, Seung Jin;Han, Daegun;Joo, Hong Jun;Kim, Hung Soo
    • Journal of Wetlands Research
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    • v.19 no.3
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    • pp.345-352
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    • 2017
  • The average global temperature on Earth has increased by about $0.85^{\circ}C$ since 1880 due to the global warming. The temperature increase affects hydrologic phenomenon and so the world has been suffered from natural disasters such as floods and droughts. Therefore, especially, in the aspect of water deficit, we may require the accurate prediction of water demand considering the uncertainty of climate in order to establish water resources planning and to ensure safe water supply for the future. To do this, the study evaluated future water balance and water deficit under the climate change for Anseong river basin in Korea. The future rainfall was simulated using RCP 8.5 climate change scenario and the runoff was estimated through the SLURP model which is a semi-distributed rainfall-runoff model for the basin. Scenario and network for the water balance analysis in sub-basins of Anseong river basin were established through K-WEAP model. And the water demand for the future was estimated by the linear regression equation using amounts of water uses(domestic water use, industrial water use, and agricultural water use) calculated by historical data (1965 to 2011). As the result of water balance analysis, we confirmed that the domestic and industrial water uses will be increased in the future because of population growth, rapid urbanization, and climate change due to global warming. However, the agricultural water use will be gradually decreased. Totally, we had shown that the water deficit problem will be critical in the future in Anseong river basin. Therefore, as the case study, we suggested two alternatives of pumping station construction and restriction of water use for solving the water deficit problem in the basin.

Manufacture of Cutting-Gouda Cheese using Lactobacillus rhamnosus_p1 and the Physicochemical Properties of Gouda Cheese during Ripening Periods (Lactobacillus rhamnosus_p1을 이용한 절단형 고다치즈 제조방법 및 숙성 중 품질특성)

  • Park, Jong-Hyuk;Jung, Hoo-Kil;Moon, Hye-Jung;Oh, Jeon-Hui;Lee, Joo-Hee;Kim, Myung-Kon;Na, Sang-Eon;Kim, Youn-Jeong;Hwang, Young-Tae
    • Journal of Dairy Science and Biotechnology
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    • v.32 no.2
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    • pp.131-139
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    • 2014
  • The aim of this study was to manufacture Cutting-Gouda cheese and to investigate the change in physicochemical properties of Cutting-Gouda cheese made with Lactobacillus rhamnosus_p1. Lactic acid bacteria were isolated from Gouda cheese ripened for more than 1 year. They were identified as 2 strains of L. rhamnosus, Lactobacillus casei, Lactobacillus curvatus, and Staphylococcus saprophyticus by 16S rDNA sequencing and named L. rhamnosus_p1, L. casei_p2, L. curvatus_p3, L. rhamnosus_p4 and S. saprophyticus_p5. The proteolytic activities of isolated strains against casein were measured using prepared skim milk agar plates. L. rhamnosus_p1 showed the highest proteolytic activity. Cutting-Gouda cheese was made with L. rhamnosus_p1, and its physicochemical properties (moisture, protein, fat, ash and free amino acid content) were measured during ripening periods. Because of the modified atmosphere packaging ($N_2{^-}$), there was no change in moisture, protein, fat, and ash in the experimental group. The total amount of free amino acids in the control and experimental group gradually increased during ripening periods. The sensory evaluation showed that the experimental group was preferable to the control group. This result suggests that L. rhamnosus_p1 has potential to be developed as a new starter for Gouda cheese.

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Evaluation of flash drought characteristics using satellite-based soil moisture product between North and South Korea (위성영상 기반 토양수분을 활용한 남북한의 돌발가뭄 특성 비교)

  • Lee, Hee-Jin;Nam, Won-Ho;Jason A. Otkin;Yafang Zhong;Xiang Zhang;Mark D. Svoboda
    • Journal of Korea Water Resources Association
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    • v.57 no.8
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    • pp.509-518
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    • 2024
  • Flash drought is a rapid-onset drought that occurs rapidly over a short period due to abrupt changes in meteorological and environmental factors. In this study, we utilized satellite-based soil moisture product from the Advanced Microwave Scanning Radiometer-2(AMSR2) ascending X-band to calculate the weekly Flash Drought Intensity Index (FDII). We also analyzed the characteristics of flash droughts on the Korean Peninsula over a 10-year period from 2013 to 2022. The analysis of monthly spatial distribution patterns of the irrigation period across the Korean Peninsula revealed significant variations. In North Korea (NK), a substantial increase in the rate of intensification (FD_INT) was observed due to the rapid depletion of soil moisture, whereas South Korea (SK) experienced a significant increase in drought severity (DRO_SEV). Additionally, regional time series analysis revealed that both FD_INT and DRO_SEV were significantly high in the Gangwon province of both NK and SK. The estimation of probability density by region revealed a clear difference in FD_INT between NK and SK, with SK showing a higher probability of severe drought occurrence primarily due to the high values of DRO_SEV. As a result, it is inferred that the occurrence frequency and damage of flash droughts in NK are higher than those in SK, as indicated by the higher density of large FDII values in the NK region. We analyzed the correlation between DRO_SEV and the Evaporative Stress Index (ESI) across the Korean Peninsula and confirmed a positive correlation ranging from 0.4 to 0.6. It is concluded that analyzing overall drought conditions through the average drought severity holds high utility. These findings are expected to contribute to understanding the characteristics of flash droughts on the Korean Peninsula and formulating post-event response plans.

The Effect of Meta-Features of Multiclass Datasets on the Performance of Classification Algorithms (다중 클래스 데이터셋의 메타특징이 판별 알고리즘의 성능에 미치는 영향 연구)

  • Kim, Jeonghun;Kim, Min Yong;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.26 no.1
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    • pp.23-45
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    • 2020
  • Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

Development of a Theme-Selection Activity in 'Clothing Life' in Relation to SDGs for the Free Semester Program (지속가능발전목표(SDGs) 성취를 위한 의생활 자유학기제 주제선택활동 프로그램 개발)

  • Choi, Ye Ji;Park, Mi-Jeong;Shim, Huen-Sup
    • Journal of Korean Home Economics Education Association
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    • v.32 no.3
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    • pp.27-48
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    • 2020
  • The purpose of this study is to develop a theme-selection activity in 'clothing life' in relation to SDGs(Sustainable Development Goals) for the free semester program. After analyzing the contents of the 'clothing life' area of middle school home economics textbooks based on the SDGs, the content system and learning goals were set. Then a program was developed and the validity and the feasibility of the program were verified. As a result of the analysis of textbooks, the contents of 'clothing life' included all the three basic dimensions of social development, economic growth, and environment protection, yet focus only on 1 or 2 goals of each area. Based on the results of the analysis, a 'Righteous(義) Clothing(衣) Life' program was developed. The developed program consists of teaching-learning process plans and teaching-learning materials in eight class periods, including 'The future everyone dreams of' based on SDG12, 'Two faces of fast fashion' based on SDG1, SDG5, SDG8, SDG10, 'Living as Homoclimatus' based on SDG13, and 'The future we create' based on SDG9 and SDG12. Through the expert evaluation process for the developed program, the program's teaching and learning adequacy and feasibility were reviewed and feedback was actively reflected to correct and supplement the program. Through this study, it is expected that it will contribute to laying the foundation for establishing home economics as a subject that educates citizens who practice sustainable life, and a pivotal subject in education for sustainable development.