• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3A
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• pp.297-307
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• 2010

Recently, maintenance engineering and technology for civil and building structures have begun to draw big attention and actually the number of structures that need to be evaluate on structural safety due to deterioration and performance degradation of structures are rapidly increasing. When stiffness is decreased because of deterioration of structures and member cracks, dynamic characteristics of structures would be changed. And it is important that the damaged areas and extent of the damage are correctly evaluated by analyzing dynamic characteristics from the actual behavior of a structure. In general, typical measurement instruments used for structure monitoring are dynamic instruments. Existing dynamic instruments are not easy to obtain reliable data when the cable connecting measurement sensors and device is long, and have uneconomical for 1 to 1 connection process between each sensor and instrument. Therefore, a method without attaching sensors to measure vibration at a long range is required. The representative applicable non-contact methods to measure the vibration of structures are laser doppler effect, a method using GPS, and image processing technique. The method using laser doppler effect shows relatively high accuracy but uneconomical while the method using GPS requires expensive equipment, and has its signal's own error and limited speed of sampling rate. But the method using image signal is simple and economical, and is proper to get vibration of inaccessible structures and dynamic characteristics. Image signals of camera instead of sensors had been recently used by many researchers. But the existing method, which records a point of a target attached on a structure and then measures vibration using image processing technique, could have relatively the limited objects of measurement. Therefore, this study conducted shaking table test and field load test to verify the validity of the method that can measure multi-point displacement responses of structures using image processing technique.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.131-131
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• 2009

최근 환경규제가 강화되면서 친환경적인 전력생산 요구 등의 외부환경 변화에 따른 우리나라의 전력구조가 기존의 중압 집중형 발전을 탈피한 분산전원 발전에 대한 관심이 증대되고 있는 실정이다. 특히, 분산전원으로서의 전력생산은 공급의 안전성, 경쟁력 및 에너지의 지속성 등이 요구되어지는데, 재생에너지가 가지고 있는 에너지 지속성의 한계 및 설치의 제약성을 탈피할 수 있는 시스템으로 현재 연료전지시스템이 가장 근접해 있는 실정이다. 즉, 도시가스 인프라가 우수하고 인구조밀 지역이 많은 우리나라의 특성상 각 가정 및 건물에 쉽게 설치하고 공급의 안전성을 갖는 건물용 연료전지는 최근 가장 각광받고 있는 분산전원 시스템 중의 하나이다. 올해부터 모니터링사업의 일환으로 수용가에 설치 될 연료전지 시스템이 얼마나 안정적으로 전기와 열을 각 가정에 공급하고 시스템의 안전성을 확보하는 가는 건물용 연료전지의 분산전원으로서의 가능성 및 국민의 수용성을 증대시키는 중요한 역할을 할 것이다. 연료전지시스템은 상용전력과 연계되어 있기 때문에 시스템의 안정성 뿐만 아니라 상용전력의 변화에 대응하여 안정적인 운전을 하는지에 대한 평가가 필수적이다. 이에 따라 본 연구에서는 가정용 연료전지시스템의 성능 및 안전성평가의 일환으로 계통연계형 전력변환장치의 성능 및 안전성을 평가 하고자 한다. 연료전지 검사를 위한 계통연계형 전력변환장치의 시험평가 항목으로는 크게 정상특성성능시험, 보호기능성능시험, 과도응답특성성능시험 및 외부사고성능시험 등으로 나뉘어진다. 본 연구에서는 외부사고 성능시험 항목들인 출력측 단락시험, 계통전압 순간정전?순간강하시험 및 부하차단 시험 등을 통하여 외부사고에 대한 성능 및 안전성을 평가하였다. 외부사고 성능시험의 주 목적은 시스템의 이상 운전이 아니라 외부의 영향에 따른 시스템의 안전성 및 전력품질을 평가한다. 출력측 단락시험을 수행하기 위해서 전력변환장치를 정격 출력 전압, 정격 출력 주파수 및 정격 출력에서 운전한 후, 교류 전원장치는 단락 전류를 검출하여, 사고 발생 후 0.3초 이내에 개방하도록 설정하였다. 여기서, 단락 저항 Rsc를 정격 전류의 10배 이상에 해당하는 부하와 같은 값으로 설정하였다. 스위치 SWSC를 폐로하여 단락 상태를 만들며, 이 때 전력변환장치의 출력전류와 차단 또는 정지 시간을 측정하였다. 실험 결과에 대한 판정기준은 단락전류를 검출하여 0.5초 이내에 개폐기 개방 또는 게이트 블록 기능이 동작하여 시스템을 안정하게 정지시키고 시스템 어떤 부위에도 손상이 없어야 한다. 실험 결과 파워컨디셔너의 출력전류 및 차단 또는 정지된시간이 40ms로 나타났고, 출력전류의 파형도 매우 안정함을 볼 수 있었다. 이와 같이 모든 실험을 수행한 결과 외부사고에 대하여 시스템이 안전하게 정지하는 등 연료전지 시스템의 안전성을 확인하였다.

• Korean Journal of Heritage: History & Science
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• v.56 no.4
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• pp.160-189
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• 2023

The Cheonjeon-ri petroglyph is inscribed with shale formation belonging to the Daegu Formation of the Gyeongsang Supergroup in the Cretaceous of the Mesozoic Era. This rock undergoes thermal alteration to become hornfels, and has a high hardness and dense texture. Rock-forming minerals have almost the same composition as quartz, alkali felspar, plagioclase, calcite, mica, chlorite and opaque minerals, but calcite is rarely detected in the weathered zone. The petroglyph forms a weathered zone with a certain depth, and there is a difference in mineral and chemical composition between weathered and unweathered zones, respectively. The CaO contents of the weathered zone were reduced by more than 90% compared to that of the unweathered zone, because calcite reacted with water and dissolved. As a result of calculating the surface weathering depth for the petroglyph with the transmission characteristics of X-rays, depth of the parts in falling off and exfoliation showed a depth of about 0.5 to 1 mm, but the weathering depth in most areas was calculated to be about 3 to 4 mm. This can be proved by the contents and changes of Ca and Sr. The surface discolorations of the petroglyph are distributed with different color density, and the yellowish brown discoloration is alternated with a thin biofilm layer, showing a coverage of 79.6%. Therefore, periodic preservation managements and preventive conservation monitoring that can effectively control the physicochemical and biological damages of the Cheonjeonri petroglyph will be necessary.

• Journal of Nutrition and Health
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• v.48 no.3
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• pp.211-220
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• 2015

Purpose: This study was designed to investigate whether nutritional supply influences biochemical markers and clinical outcomes in patients who received continuous renal replacement therapy (CRRT) by evaluating adequacy of nutritional supply for patients. Methods: From January 2012 to December 2013, 239 adult patients who received CRRT in the intensive care unit for more than 3 days were included. General information from electronic medical records and nutritional status related biochemical data and clinical outcomes on the first day of CRRT and 2 weeks after CRRT were collected. Results: The rate of delivered energy and protein was 68.06% and 43.13% which was much lower than energy and protein supply based on their requirement. When the patients were divided into two groups according to 70% of energy received rate and 50% of protein received rate, the group with more than 70% of energy received rate showed significant decrease of length of hospital stay (p = 0.007), length of stay in intensive care unit (ICU) (p = 0.008), duration of CRRT (p < 0.001), and APACHE II score (p < 0.001) compared to less than 70% of energy received rate after adjusting for age. In addition, the group with more than 50% of protein received rate showed decreased mortality (p = 0.031), length of hospital stay (p = 0.008), length of ICU stay (p = 0.035), duration of CRRT (p < 0.001), and APACHE II score (p < 0.001) after adjusting for age. We found that the level of hematocrit (p = 0.006) was significantly improved in the group with more than 70% of energy received rate, and the level of TLC (p = 0.049), hematocrit (p = 0.041) was significantly improved in the group with more than 50% of protein received rate. We also found that energy delivery was negatively correlated with length of stay in ICU (p = 0.049) and positively correlated with level of calcium (p = 0.037). In addition, protein delivery was correlated with the levels of serum total protein (p = 0.021), serum albumin (p = 0.048), hematocrit (p = 0.009), and total cholesterol (p = 0.021) when dead patients were included, but was correlated with the levels of hematocrit (p = 0.034) and calcium (p = 0.024) when dead patients were excluded. Conclusion: Proper nutritional delivery may help patients' clinical outcomes for patients receiving CRRT. However, their actual intakes of energy and protein were not adequate for their requirements. Identification of patients with malnutrition is necessary and a multidisciplinary approach for systemic management is also required.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.243-264
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• 2018

Although the worldwide battery market is recently spurring the development of lithium secondary battery, lead acid batteries (rechargeable batteries) which have good-performance and can be reused are consumed in a wide range of industry fields. However, lead-acid batteries have a serious problem in that deterioration of a battery makes progress quickly in the presence of that degradation of only one cell among several cells which is packed in a battery begins. To overcome this problem, previous researches have attempted to identify the mechanism of deterioration of a battery in many ways. However, most of previous researches have used data obtained in a laboratory to analyze the mechanism of deterioration of a battery but not used data obtained in a real world. The usage of real data can increase the feasibility and the applicability of the findings of a research. Therefore, this study aims to develop a model which predicts the battery deterioration using data obtained in real world. To this end, we collected data which presents change of battery state by attaching sensors enabling to monitor the battery condition in real time to dozens of golf carts operated in the real golf field. As a result, total 16,883 samples were obtained. And then, we developed a model which predicts a precursor phenomenon representing deterioration of a battery by analyzing the data collected from the sensors using machine learning techniques. As initial independent variables, we used 1) inbound time of a cart, 2) outbound time of a cart, 3) duration(from outbound time to charge time), 4) charge amount, 5) used amount, 6) charge efficiency, 7) lowest temperature of battery cell 1 to 6, 8) lowest voltage of battery cell 1 to 6, 9) highest voltage of battery cell 1 to 6, 10) voltage of battery cell 1 to 6 at the beginning of operation, 11) voltage of battery cell 1 to 6 at the end of charge, 12) used amount of battery cell 1 to 6 during operation, 13) used amount of battery during operation(Max-Min), 14) duration of battery use, and 15) highest current during operation. Since the values of the independent variables, lowest temperature of battery cell 1 to 6, lowest voltage of battery cell 1 to 6, highest voltage of battery cell 1 to 6, voltage of battery cell 1 to 6 at the beginning of operation, voltage of battery cell 1 to 6 at the end of charge, and used amount of battery cell 1 to 6 during operation are similar to that of each battery cell, we conducted principal component analysis using verimax orthogonal rotation in order to mitigate the multiple collinearity problem. According to the results, we made new variables by averaging the values of independent variables clustered together, and used them as final independent variables instead of origin variables, thereby reducing the dimension. We used decision tree, logistic regression, Bayesian network as algorithms for building prediction models. And also, we built prediction models using the bagging of each of them, the boosting of each of them, and RandomForest. Experimental results show that the prediction model using the bagging of decision tree yields the best accuracy of 89.3923%. This study has some limitations in that the additional variables which affect the deterioration of battery such as weather (temperature, humidity) and driving habits, did not considered, therefore, we would like to consider the them in the future research. However, the battery deterioration prediction model proposed in the present study is expected to enable effective and efficient management of battery used in the real filed by dramatically and to reduce the cost caused by not detecting battery deterioration accordingly.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.25 no.3
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• pp.79-87
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• 2019

The degree of cosmetic's oxidation depends on the storage conditions and external conditions when using the product. The microbial contamination and oxygen exposure often results in the quality deterioration of cosmetics. In addition, the problem is that consumers often use cream-type cosmetics, which have short expiration period (6-12 months), even after the product is expired. When using the deteriorated cosmetics, it can be fatal to consumers' safety including some symptoms such as folliculitis, rashes, edema, and dermatitis. Therefore, it is necessary to develop sealed smart packaging for cosmetics to prevent the deterioration of cosmetics and improve consumer safety. In this study, we have developed smart packaging design for cosmetics that can measure the surrounding environment and expiration date for the cosmetics in the real time. In addition, the smart packaging includes sensor, which are linked to the mobile application. Users can find out the measurement results through the application. Also, the packaging design and functions were set up based on the survey results by the user and feasible model can be produced based on user choice. The measurement in the three environment has been done after manufactured the sensor, PCB, and mobile application. As a result, it works normally within a certain range under all three environmental conditions. It is believed that the information on expiration dates and storage environment can be efficiently delivered to the consumers through developed cosmetics smart packaging and applications. The development of UI/UX design for consumer is further studied. The UX/UI design of the application plays an essential role in achieving this goal through the commercialization the cosmetic products in the wide range.

• Korean Journal of Food Science and Technology
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• v.42 no.4
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• pp.494-501
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• 2010

The purpose of this study was to examine the presence of Bacillus cereus, aerobic bacteria and coliforms in the raw material of infant formulas and investigate the manufacturing process in terms of microbial safety. Among ten kinds of raw infant formula material samples (n=20), Bacillus cereus appeared in two (n=4). Aerobic bacteria were not detected in raw infant formula material or maximum 4.15 log CFU/g. Eleven species of aerobic bacteria were isolated and 76% of them were Sphingomonas paucimobilis, Pseudomonas fluorescens, Rhizobium radiobactor, or Stenotrophomonas maltophilia. A Pearson's correlation analysis revealed that the most influential factors for detecting Bacillus cereus were aerobic bacteria and coliforms. In other words, when the measured values of aerobic bacteria and coliforms were higher, the possibility that Bacillus cereus would appear increased. In a regression model to predict Bacillus cereus, the rate of appearance was correlated with aerobic bacteria and coliforms, and its contribution rate for effectiveness was 86%. Improving microbial quality control by pasteurization, spray dry, popping and extrusion resulted in a decrease in the numbers of Bacillus cereus, aerobic bacteria and coliforms in the raw materials. The results suggest that a hazard analysis and critical control point system might be effective for reducing microbiological contamination.

• Journal of Food Hygiene and Safety
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• v.25 no.2
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• pp.153-161
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• 2010

The purpose of this study was to examine the appearance of norovirus in the water for food in food service institutions and the influence of physicochemical and microbial factors of norovirus in order to work out basic data to predict the detection of norovirus. Among 82 samples of water for food in food service institutions, norovirus appeared in 7 samples and the rate of appearance was 8.5%. As for the type of norovirus, one samples contained GI type (genotype GI-6) and six samples contained GII type (genotype GII-2, GII-4, GII-12). In the regression model of prediction of norovirus, the rate of appearance was correlated with $NH_3$-N, total solids and the consumption of $KMnO_4$, out of such variables as $NH_3$-N, total solids, the consumption of $KMnO_4$, depth, chloride and total colony counts, and its contribution rate for effectiveness was 78.60%. In order to examine the influential factor of environment upon the detection of norovirus, Pearson's correlation analysis was carried out. The predictable regression formula for appearance rate of norovirus was expressed as -1.818 + 42.677 [$NH_3$-N] + 0.023 [total solids] + 0.762 [consumption of $KMnO_4$] -0.009 [depth] -0.146 [chloride] + 0.007 [total colony counts] (R = 0.904, $R^2$ = 0.818, adjusted $R^2$ = 0.786, p < 0.05). The most influential factors upon the detection of norovirus were $NH_3$-N, total solids and the consumption of $KMnO_4$. In other words, when the measured values of $NH_3$-N, total solids and the consumption of $KMnO_4$ were higher, the possibility of appearance of norovirus increased.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.38 no.2
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• pp.95-107
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• 2020

The purpose of this study is to provide the basic data by analyzing and analysing the Growth Conditions of old Trees in Yangdong village. This study investigated about the conducted on tree information, soil information, and tree health. The result are as follows. The trees information in Yangdong Village consists of Juniperus chinensis, Salix chaenomeloides, Salix pseudolasiogyne, Celtis sinensis, Zelkova serrata, Gleditsia japonica, and Gleditsia sinensis trees, The range of height was 4.0~17.0m, and the diameter was 0.51~1.34m, Juniperus chinensis trees of No.17 was most large. In the results of soil analysis, there showed that acidity was pH4.1~6.3, hardness of 5~48mm, organic matter content of 21.2~29.1g/kg, electrical conductivity(EC) of 0.34~1.76dS/m, available P₂O₅ of 79.8~451.6mg/kg, exchangeable K of 0.22~1.71cmol+/kg, exchangeable Ca of 4.98~7.44cmol+/kg, exchangeable Mg of 0.67~2.19cmol+/kg, exchangeable Na of 0.19~1.04cmol+/kg and cation exchange capacity(C.E.C) of 7.23~13.02cmol+/kg. As a result, the highest number of tree health levels is 8 of 11trees of Celtis sinensis, 2 of 7trees of Zelkova serrata, and 3 of Gleditsia sinensis, and 13 of 30 trees of health levels, The Older trees with high infection, spoil and hollowed part were the remaining trees except for the healthy part. Relatively, more than half of the number of targets is infected, decay, and the hollowed site, and it is necessary to perform surgery on the damaged area. In addition, preservation and protection measures should be implemented by supplying root nutrients for trees, controlling nutrients in the body to prevent secondary and tertiary damages that cause the infection site to metastasize to the health site, In order to continually monitor the trees, measures to improve the location environment and management of the trees should be sought.

• Korean Journal of Remote Sensing
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• v.34 no.6_1
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• pp.869-877
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• 2018

The area of desert in East Asia is increasing every year, and it cause a great cost of social damage. Because desert is widely distributed and it is difficult to approach people, remote sensing using satellites is commonly used. But the study of desert area comparison is insufficient which is calculated by satellite sensor. It is important to recognize the characteristics of the desert area data that are calculated for each sensor because the desert area calculated according to the selection of the sensor may be different and may affect the climate prediction and desertification prevention measures. In this study, the desert area of Northeast Asia in 2001-2013 was calculated and compared using Moderate Resolution Imaging Spectroradiometer (MODIS) and Vegetation. As a result of the comparison, the desert area of Vegetation increased by $3,020km^2/year$, while in the case of MODIS, it decreased by $20,911km^2/year$. We performed indirect validation because It is difficult to obtain actual data. We analyzed the correlation with the occurrence frequency of Asian dust affected by desert area change. As a result, MODIS showed a relatively low correlation with R = 0.2071 and Vegetation had a relatively high correlation with R = 0.4837. It is considered that Vegetation performed more accurate desert area calculation in Northeast Asian desert area.