• Title/Summary/Keyword: Volatile Data

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The hydrocarbon concentration distribution in the contaminated site using geospatial analysis

  • Lee, Ju-Young;Yang, Jung-Seok;Choi, Jae-Young;Krishinamurshy, Ganeshi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.909-910
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    • 2007
  • The volatile organic compounds exposure is governed by the source distance and dispersion of the pollutant into air and groundwater. The purpose of this study was to validate suggested models for the prediction of concentration distributions. The study design was organized into different methods to simulate industry site. The distribution models generally showed a fair agreement with measured data. For graphical representation of concentration of volatile hydrocarbon, it has to obtain a continuous representation of the contamination of the site. Therefore, the used interpolative methods examined for this project are the IDW(inverse Distance Weighting) and kriging method. In the results, in summary, all two different methods can be used to quantify exposures at a particular source area, and thus provide, a solid foundation for making risk-based decisions. All the calculations can be performed using Excel's built-in functions, and the capabilities of geospatial analysis allow the results to be displayed visually. However, anyone who uses these methods should understand all of the assumptions and limitation.

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Analysis of Volatile Compounds using Electronic Nose and its Application in Food Industry (전자코를 이용한 휘발성분의 분석과 식품에의 이용)

  • Noh, Bong-Soo
    • Korean Journal of Food Science and Technology
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    • v.37 no.6
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    • pp.1048-1064
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    • 2005
  • Detection of specific compounds influencing food flavor quality is not easy. Electronic nose, comprised of electronic chemical sensors with partial specificity and appropriate pattern recognition system, is capable of recognizing simple and complex volatiles. It provides fast analysis with simple and straightforward results and is best suited for quality control and process monitoring of flavor in food industry. This review examines application of electronic nose in food analysis with brief explanation of its principle. Characteristics of different sensors and sensor drift. and solutions to related problems are reviewed. Applications of electronic nose in food industry include monitoring of fermentation process and lipid oxidation, prediction of shelf life, identification of irradiated volatile compounds, discrimination of food material origin, and quality control of food and processing by principal component analysis and neural network analysis. Electronic nose could be useful for quality control in food industry when correlating analytical instrumental data with sensory evaluation results.

The Correlation of Cigarettes and Smoke Components from Non-Blended and Blended Cigarettes (담배성분과 연기성분 간의 상관성 연구)

  • 나효환;오세열;최승찬;김신일
    • Journal of the Korean Society of Tobacco Science
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    • v.6 no.1
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    • pp.51-62
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    • 1984
  • The chemical components of non-blended and blended cigarettes and their smoke have been analyzed to investigate the correlation between them. Some regression of linear equations were obtained based on the simple correlation data(r), for the various smoke components such as tar, nicotine, nitrogen dioxide, steam volatile phenols, formaldehyde, acetaldehyde, acrolein and hydrogen cyanide. Chi-square tests were carried out to observe the probabilities of the values estimated by the regression of linear equations. The probabilities of the greater values were 0.900-0.999 to tar, nicotine, formaldehyde, acetal dehyde, acrolein, steam volatile phenols, nitrogen dioxide and hydrogen cyanide of the non-blended cigarettes, and 0.900-0.999 to tar, nicotine, nitrogen dioxide, steam volatile phenols and static burning rate (SBR) of the blended cigarettes.

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Lifetime Extension Method for Non-Volatile Memory based Deep Learning System by analyzing Data Write Pattern (데이터 쓰기 패턴 분석을 통한 비휘발성 메모리 기반 딥러닝 시스템의 수명 연장 기법)

  • Choi, Juhee
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.3
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    • pp.1-6
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    • 2022
  • Modern computer systems usually have special hardware for operations used in deep learning workload even edge computing environment. Non-volatile memories (NVMs) have been considered for alternative memory storage because they consume little static energy and occupy small area. However, there is a problem for NVMs to be directly adopted. An NVM cell has limited write endurance, so that the lifetime of NVM-based memory system is much shorter than that of conventional memory system. To overcome this problem for the deep learning system, this paper proposes a novel method to extend the lifetime based on the analysis of the deep learning workloads. If an incoming block has more than a predefined number of frequently used values, the cacheline is defined as write friendly block. During the victim selection, the cacheline has lower possibility to be chosen as victim. The experimental results show that the lifetime is increased by about 50% and energy consumption is decreased by 3% with a little performance hurt.

A Study on Direct Cache-to-Cache Transfer for Hybrid Cache Architecture to Reduce Write Operations (쓰기 횟수 감소를 위한 하이브리드 캐시 구조에서의 캐시간 직접 전송 기법에 대한 연구)

  • Juhee Choi
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.1
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    • pp.65-70
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    • 2024
  • Direct cache-to-cache transfer has been studied to reduce the latency and bandwidth consumption related to the shared data in multiprocessor system. Even though these studies lead to meaningful results, they assume that caches consist of SRAM. For example, if the system employs the non-volatile memory, the one of the most important parts to consider is to decrease the number of write operations. This paper proposes a hybrid write avoidance cache coherence protocol that considers the hybrid cache architecture. A new state is added to finely control what is stored in the non-volatile memory area, and experimental results showed that the number of writes was reduced by about 36% compared to the existing schemes.

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Analysis and Comparison of Volatile Flavor Components in Rice Wine Fermented with Phellinus linteus Mycelium and Regular Commercial Rice Wine

  • Choi, Sung-Hee;Jang, Eun-Young;Choi, Byung-Tae;Im, Sung-Im;Jeong, Young-Kee
    • Food Quality and Culture
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    • v.2 no.1
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    • pp.32-36
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    • 2008
  • This study identified and compared the volatile flavor components of two commercial rice wines: one fermented using the mycelium of Phellinus linteus and a regular commercial rice wine. The volatile flavor components were isolated from the infusions by Porapak Q (50-80 mesh) column adsorption. The concentrated aroma extracts were then analyzed and identified by GC and GC-MS. Thirty-four kinds of flavor components were identified in the mycelium-fermented rice wine, including 11 alcohols, 8 esters, 3 ketones, 6 acids, 3 hydrocarbones, and 4 others. In the regular commercial rice wine, 36 kindss of flavor compounds were identified, including 9 alcohols, 6 esters, 4 ketones, 6 acids, 9 hydrocarbones, and 2 others. Therefore, the data indicate that the primary flavor components in the rice wines were alcohols and esters.

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Characterization of Volatile Organic Compounds associated with Environmental Tobacco Smoke

  • Baek, Sung-Ok;Roger A. Jenkins
    • Journal of Korean Society for Atmospheric Environment
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    • v.14 no.E
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    • pp.41-58
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    • 1998
  • In this study, a wide range of volatile organic constituents of environmental tobacco smoke (ETS) were determined using an environmental chamber, where ETS is the sole source of target compounds. ETS was generated in an environmental chamber by a number of different cigarettes, including the Kentucky reference cigarette and eight different commercial brands. More than 30 compounds were measured simultaneously for a total of twelve experimental runs. The target compounds are classified into three major classes, i.e. vapor phase ETS markers including 3-ethnylpyridine (3-EP) and nicotine, carbonyl compounds including formaldehyde, and volatile organic compounds (VOCs). The results from the chamber study were used to generate characterized ratios of selected VOCs to 3-EP, a vapor phase ETS marker. Emission factors for VOCs associated with ETS were also estimated. The characteristic ratios appeared to be generally in good agreement with published data obtained by environmental chamber studies similar to this study. This implies that the ratios may be useful for identifying and quantifying the impact of ETS as a source of target compounds in 'real world' indoor environments, which is affected by a complex mixture of multi-sources. The environmental chamber method described here provides a direct and reliable method to compare the ETS generated by different cigarettes. The method can also be applied to the simultaneous determination of many different ETS components.

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Comparison of the Cold-Pressed Peel Oil Composition between ]Korean and Japanese Satsuma Mandarin (Citrus unshiu Marcov. forma Miyagawa-wase) by GC, GC-MS and GC-O

  • Park, Hyang-Sook;Sawamura, Masayoshi
    • Preventive Nutrition and Food Science
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    • v.7 no.1
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    • pp.5-11
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    • 2002
  • The comparison of the volatile flavor components from Korean and Japanese Satsuma mandarin (C. unshiu Marcov. forma Miyagawa-wase) peel oils, isolated by cold-pressing, was performed by gas chromatography, mass-spectrometry and gas chromatography-olfactometry (GC-O). Eighty-five volatile components were identified in each oil by GC and GC-MS. Forty-three components were detected in each oil by GC-O. The total amount of monoterpene hydrocarbons was 95.88% (Korean mandarin) and 95.29% (Japanese mandarin). Limonene, ${\gamma}$-terpinene, myrcene and $\alpha$-pinene were the main components of the cold-pressed oils from the both samples. The volatile composition of the Japanese mandarin was characterized by a higher content of sesquiterpene hydrocarbons, especially bicyclogermacrene, $\alpha$-humullene and valencene. The volatile composition of two samples can easily be distinguished by the percentages of aldehydes, ketones and esters, which were found at higher levels in the Japanese mandarin. The sweet and fruity flavor was stronger in the Korean mandarin oil while herbaceous flavor was stronger in Japanese sample. From GC-O data it is suggested that the sweet and fruity flavor of the Korean mandarin resulted from terpinolene and linalool, and the herbaceous note of the Japanese mandarin from $\alpha$-humullene, nepal, ι-carvone and perill aldehyde.

Study of The Relation between Smoke Component and Sensory Evaluation of Cigarettes with the Different Leaf Blending (엽배합 특성에 따른 담배 연기성분과 관능특성과의 상관관계 구명)

  • 황건중;이문수;나도영
    • Journal of the Korean Society of Tobacco Science
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    • v.25 no.2
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    • pp.144-153
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    • 2003
  • This study was carried out to determine the relationship between smoke components and sensory evaluation by changes tobacco leaf blending. Seven different cigarettes were made by adding different types of oriental, reconstituted and expanded tobacco leaves. 62 kinds of smoke components which were 6 of general components, 34 of semi-volatile and volatile components, 9 of acid components, and 13 of phenolic components were analyzed. Eight kinds of sensory item were evaluated and also electronic nose system data was collected. All smoke components and sensory characteristics of mainstream smoke were changed by the different blending. To determine the relationship between smoke components and sensory test, the correlation and regression analysis were carried out by using SPSS statistical program. Tar, pH, and CO showed a high correlation with sensory evaluation item. As tar related to hotness, CO have a high correlation with offensive aroma. Semi-volatile and volatile components of smoke related to sensory characteristics such as aroma, taste, irritation, hotness and smoothness. When propylene, l,3-butadiene, butane, isoprene, and 2-methylfuran showed a high correlation with aroma; methyl chloride, methanol, toluene, ethyl benzene showed a high correlation with irritation. Some acidic components and phenolic components of smoke also had a high relation to smoke volume. Especially the acidic components such as 2-furoic acid, 2-hydroxybutyric acid, phenylacetic acid and palmitic acid; the phenolic components such as 4-vinyl phenol, pyrocatechol, 3-methyl catechol, hydroquinone showed a high correlation with smoke volume. As using regression analysis, it was possible to estimate the results of sensory evaluation from the smoke analysis data. From the results of electronic nose system analysis, we can find the different pattern by adding expanded tobacco leaf.

Distinguishing Aroma Profile of Highly-Marbled Beef according to Quality Grade using Electronic Nose Sensors Data and Chemometrics Approach

  • Utama, Dicky Tri;Jang, Aera;Kim, Gur Yoo;Kang, Sun-Moon;Lee, Sung Ki
    • Food Science of Animal Resources
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    • v.42 no.2
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    • pp.240-251
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    • 2022
  • Fat deposition in animal muscles differs according to the genetics and muscle anatomical locations. Moreover, different fat to lean muscle ratios (quality grade, QG) might contribute to aroma development in highly marbled beef. Scientific evidence is required to determine whether the abundance of aroma volatiles is positively correlated with the amount of fat in highly marbled beef. Therefore, this study aims to investigate the effect of QG on beef aroma profile using electronic nose data and a chemometric approach. An electronic nose with metal oxide semiconductors was used, and discrimination was performed using multivariate analysis, including principal component analysis and hierarchical clustering. The M. longissimus lumborum (striploin) of QG 1++, 1+, 1, and 2 of Hanwoo steers (n=6), finished under identical feeding systems on similar farms, were used. In contrast to the proportion of monounsaturated fatty acids (MUFAs), the abundance of volatile compounds and the proportion of polyunsaturated fatty acids (PUFAs) decreased as the QG increased. The aroma profile of striploin from carcasses of different QGs was well-discriminated. QG1++ was close to QG1+, while QG1 and QG2 were within a cluster. In conclusion, aroma development in beef is strongly influenced by fat deposition, particularly the fat-to-lean muscle ratio with regard to the proportion of PUFA. As MUFA slows down the oxidation and release of volatile compounds, leaner beef containing a higher proportion of PUFA produces more volatile compounds than beef with a higher amount of intramuscular fat.