• Title/Summary/Keyword: 오렌지

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Characteristics of Water Contamination and Precipitates of Acid Mine Drainage, Bongyang Abandoned Coal Mine, Danyang, Chungbuk Province with Emphasis on Fe and Al behaviors (충북 단양 봉양폐탄광 산성광산배수의 수질오염과 침전물의 특성: 철, 알루미늄의 거동을 중심으로)

  • Choo, Chang Oh;Lee, Jin Kook
    • The Journal of Engineering Geology
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    • v.29 no.2
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    • pp.163-183
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    • 2019
  • We investigated acid mine drainage (AMD) of Bongyang abandoned coal mine, Danyang, Chungbuk Province with emphasis on geochemical contaminants in AMD and precipitates using chemical analyses, XRD, SEM, IR, and $^{27}Al$ NMR. Water chemistry changes with pH and oversaturation of chemical species. According to calculation of saturation index, the AMD is saturated with various Fe, Al minerals. Orange or orcher precipitates are composed of schwertmannite and goethite, associated with Leptothrix orchracea bacteria, whereas whitish precipitates are composed mostly of alumimous minerals such as basaluminite with poor crystallinity. The whitish precipitates include trace $Al_{13}$-Tridecamer. It is important to control the precipitation and solubility of aluminous species for ensuring remediation and control for the AMD discharged from the Bongyang abandoned coal mine.

Concurrency Control with Dynamic Adjustment of Serialization Order in Multilevel Secure DBMS (다단계 보안 데이타베이스에서 직렬화 순서의 동적 재조정을 사용한 병행수행 제어 기법)

  • Kim, Myung-Eun;Park, Seok
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.9 no.1
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    • pp.15-28
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    • 1999
  • In Multilevel Secure Database Management System(MLS/DBMS), we assume that system has a security clearance level for each user and a classification level for each data item in system and the objective of these systems is to protect secure information from unauthorized user. Many algorithms which have been researched have focus on removing covert channel by modifying conventional lock-based algorithm or timestamp-based algorithm. but there is high-level starvation problem that high level transaction is aborted by low level transaction repeatedly. In order to solve this problem, we propose an algorithm to reduce high-level starvation using dynamic adjustment of serialization order, which is basically using orange lock. Because our algorithm is based on a single version unlike conventional secure algorithms which are performed on multiversion, it can get high degree of concurrency control. we also show that it guarantees the serializability of concurrent execution, and satisfies secure properties of MLS/DBMS.

False positive and false negative reactions of acidic hydrogen peroxide for enhancing blood (Acidic hydrogen peroxide로 혈액을 증강할 때의 위양성 및 위음성 반응)

  • Lee, Wonyoung;Hong, Sungwook
    • Analytical Science and Technology
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    • v.35 no.3
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    • pp.124-128
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    • 2022
  • Blood-sensitive reagents may exhibit false positives or negatives under the influence of substances other than blood. Since these reactions lead to the misinterpretation of blood evidence, it is essential to investigate the possibility of false-positive and -negative reactions of blood-sensitive reagents. Acidic hydrogen peroxide (AHP) is a recently discovered blood-sensitive reagent, and it is not yet known whether it causes false-positive or -negative reactions. To confirm this, 20 µL of blood was placed on metal surfaces, plastic surfaces, paper surfaces, paint surfaces, foods, vegetable oils, detergents, and petroleum hydrocarbons, and then AHP was applied. The blood was observed through an orange filter under a 505-nm light source, and no false-positive or false-negative reactions were observed with any of the substances/materials. However, it was confirmed that polyethylene terephthalate surfaces, polyvinylchloride surfaces, some paint surfaces, and foods exhibit their own photoluminescence under the conditions of blood observation, which interferes with blood observation.

'Chosi', Early Maturing Sweet Persimmon (Diospyros kaki Thunb.) for 'Chuseok' (조생종 추석용 단감 '초시' 육성)

  • Ma, Kyeong-Bok;Cho, Kwang-Sik;Kang, Sam-Seok;Kim, Yoon-Kyeong;Hwang, Hae-Sung;Choi, Jang-Jeon;Han, Jeom-Hwa
    • Korean Journal of Breeding Science
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    • v.51 no.4
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    • pp.424-427
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    • 2019
  • A persimmon (Diospyros kaki L. Thunb.) cultivar, 'Chosi', which was a cross between 'Johongsi' and 'Nishimurawase' in 2000, was finally selected in 2010. 'Chosi' persimmon fruits were harvested in Sept. 19 in Naju, with a medium fruit size of 161 g, on average, and high soluble solids of approximately 15.3 °Bx. The flesh tastes good, with a crispy texture, and the juice is rich. The shape of the fruit is round oblate, and the skin color is orange; the appearance is graceful. Physiological disorders, such as stylar-end cracking or skin fine cracking, rarely occur in this cultivar. (Registration No. 7075)

Physicochemical properties of kombucha with fruit peels during fermentation (과일 껍질을 첨가한 콤부차의 발효 중 이화학적 특성)

  • Tae Yeon Lee;Young Hyoun Yi
    • Food Science and Preservation
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    • v.30 no.2
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    • pp.321-333
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    • 2023
  • The study investigated the pH, acidity, soluble solids, total sugar, polyphenol, flavonoid, anthocyanin content, 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging, and color of kombucha with a variety of added fruit peels during the fermentation process. Pear, grape, plum, orange, apple, and golden kiwi peels were added during fermentation. The pH showed a decrease, while an increase in acidity was observed. An increase in soluble solids, which was higher in most experimental groups than the control group, was also observed. A decrease in total sugar was observed over time. However, an increase was observed in reducing sugar. On Day 0, higher total sugar and reducing sugar were detected in the peel addition group compared with the control group. The antioxidant capacity of polyphenol, flavonoid, anthocyanins, and DPPH radicals scavenging increased with fermentation and was higher in all addition groups, except for pear, compared with the control group. Except for grapes and plums containing high levels of anthocyanins, an increase in the L-value was observed over time, and an increase in the a-value of grapes and plums was also observed (p<0.05). The possible utilization of inedible fruit peel in kombucha was shown. Applying inedible fruit peels to kombucha is proposed to increase antioxidant content and modulate color and pH.

Studies on the Usage of Compound Flavorings in Korea (국내의 조합향료 사용실태 조사)

  • Kim, Hee-Yun;Yoon, Hae-Jung;Hong, Ki-Hyoung;Park, Sung-Kwan;Choi, Jang-Duck;Choi, Woo-Jeong;Kim, Ji-Hye;Park, Hui-Og;Jin, Myeong-Sig;Lee, Chul-Won
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.33 no.8
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    • pp.1407-1413
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    • 2004
  • This study was performed to investigate the usage and management of flavorings inside or outside (Europe, Japan, JECFA and USA) for that establish a legislation about the flavoring management in Korea. Also, this study contributed to prevent confusion when manufacturers produce flavorings used in food industry. 6,434 among 8,386 flavorings authorized by Korea Food and Drug administration are compound flavorings, and 618 among 6,434 compound flavorings are synthetic flavorings. Many other substances except for flavorings are using as solvent in flavoring manufacture. Flavorings used in food industries of Korea are listed at least one among FEMA, JECFA, CoE and JFFMA except for isooctyl acetate and tricyclene. 493 items out of total 618 synthetic flavorings have completed safety evaluation by JECFA. 106 synthetic flavorings out of the rest listed FEMA as GRAS and 20 synthetic flavorings used in Japan. The replier answered that the most frequently used flavorings are strawberry, grape, orange, plum, lemon and vanilla flavor and that the usage of flavoring added to foodstuffs is less than 0.5%.

Effect of Heating by Nano-Carbon Fiber Infrared Lamps on Growth and Vase Life of Cut Roses and Heating Cost (나노탄소섬유 적외선등 난방이 절화장미의 생육과 수명 및 난방비에 미치는 영향)

  • Lim, Mi-Young;Ko, Chung-Ho;Son, Moon-Sook;Lee, Sang-Bok;Kim, Gil-Ju;Kim, Byung-Soo;Kim, Young-Bok;Jeong, Byoung-Ryong
    • Journal of Bio-Environment Control
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    • v.18 no.1
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    • pp.1-8
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    • 2009
  • The greatest and major cost for cut rose production during winter seasons in Korea is cost of heating the greenhouse. A study was conducted on a cost-efficient heating system to reduce expenses of cut rose growers in times of high energy prices. An infrared heating system utilizing radiant energy has an obvious advantage over other heating methods in that the energy is first used to raise temperatures of plants and other objects and subsequently that of the atmosphere, resulting in faster reaching to desired plant temperatures at a reduced heating cost. In this study the heating effect and heating cost saving of a nano-carbon fiber infrared heating system (NCFIHS) installed in cut rose greenhouses in Gimhae, Gyeongnam Province were analyzed comparatively. In addition growth, quality, and vase life of 'Orange Fresh' roses grown in greenhouses heated by NCFIHS against those grown in greenhouses heated by so called an electrical heating system. In greenhouses with a NCFlHS with a set point air temperature of $20^{\circ}C$, plant temperature was maintained at $1{\sim}2^{\circ}C$ higher than the air temperature, and temperatures of growing bed surface and root zone were maintained at $17{\sim}19^{\circ}C$ throughout cold winter nights. The cost for heating in NCFIHS was about 25 and 51% of that of an electrical heating system and a hot water heating system heated by petroleum, respectively. Growth of roses harvested in greenhouses with a NCFIHS was similar to those grown in greenhouses with an electrical heating system. However, cut roses with more intense petal and leaf colors and a longer vase life (fresh weight and amount of water uptake) were harvested in greenhouses with a NCFIHS as compared to those harvested in greenhouses with an electrical heating system.

Monitoring of Patulin levels in Fruit Juices and Beverages (과실쥬스 및 음료에서 파튤린 오염실태 조사)

  • Eom, Joon-Ho;Byun, Jung-A;Park, You-Gyoung;Seo, Eun-Chae;Lee, Eun-Mi;Kim, Mi-Ra;Sun, Nam-Kyu;Kim, Chang-Soo;Jung, Woo-Young;Jung, Rae-Seok;Na, Mi-Ae;Lee, Jin-Ha
    • Journal of Food Hygiene and Safety
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    • v.24 no.1
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    • pp.56-62
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    • 2009
  • Patulin, a mycotoxin mainly produced by Penicillium and Aspergillus, is found in various foods. In the present, a maximum acceptable level for patulin is established at $50{\mu}g/kg(ppb)$ in apple juices and apple concentrates in Korea. But patulin may be detected in foods produced with other fruits. In the present study, patulin contamination was analyzed in 520 samples of fruit juices and beverages, and 50 samples of fruit juice concentrates. High performance liquid chromatography(HPLC) was applied to quantitatively analyze patulin levels in samples and liquid chromatography-mass spectrometry(LC/MS/MS) was used to remove false positive results. The results showed that three samples of 520 fruit juices and beverages and five samples of 50 fruit juice concentrates were contaminated by patulin, $9.8-18.0{\mu}g/kg$ and $4.7-18.2{\mu}g/kg$ respectively. Contaminated samples were produced with apple, orange or pear. This indicates that it is necessary to extend the regulatory range of patulin. In the other hands, the present study confirmed the effectiveness of LC/MS/MS analytical method to remove false positive results.

Evaluation of Residual Pesticides in Commercial Agricultural Products Using LC-MS/MS in Korea (LC-MS/MS를 이용한 한국에서 유통되는 농산물의 잔류 농약 평가)

  • Lee, Hwa-Mi;Hu, Soo Jung;Lee, Hyun-Sook;Park, Seung Young;Kim, Nam-Sun;Shin, Yong Woo;Choi, Keun Hwa;Kim, Sung Il;Nam, Seul Yi;Cho, Dae Hyun
    • Korean Journal of Food Science and Technology
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    • v.45 no.4
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    • pp.391-402
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    • 2013
  • Pesticide residues in agricultural products in Korea were evaluated to create a data base to inform food policy. Pesticide residues were investigated in 17 commodities collected from 9 provinces in 2012. Our analytical method of multiresidue analysis, involved the analysis of individual recovery, linearity, limit of detection, and limit of quantitation of 60 pesticides in six matrices. The pesticides, including acetamiprid and forchlorofenuron, were evaluated in 358 agricultural samples by liquid chromatography/tandem mass spectrometry. Twenty three pesticides were detected from 67 samples. The results showed that the ratio of estimated daily intake to acceptable daily intake was 0.00009-0.0861% by the intake assessment, which means that residual pesticides in agricultural products in Korea are properly controlled.

Basic Research on the Possibility of Developing a Landscape Perceptual Response Prediction Model Using Artificial Intelligence - Focusing on Machine Learning Techniques - (인공지능을 활용한 경관 지각반응 예측모델 개발 가능성 기초연구 - 머신러닝 기법을 중심으로 -)

  • Kim, Jin-Pyo;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.3
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    • pp.70-82
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    • 2023
  • The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.