• Title/Summary/Keyword: rapid changes

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Essential Oils in Cured Leaf of Burley Tobacco I. Changes in the Composition of Essential Oils during Air-Curing (버어리종 건조엽의 정유성분 I. 건조기간중 정유성분 조성의 변화)

  • 배성국;김도연;김영회;조천준
    • Journal of the Korean Society of Tobacco Science
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    • v.22 no.2
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    • pp.114-122
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    • 2000
  • This study was carried out to investigate the changes in the composition of essential oils for the improvement of air-curing process of burley tobacco leaves. From the essential oils isolated from the cured tobacco leaves by steam distillation method, 90 compounds including 15 acids and esters, 19 alcohols, 23 aldehydes and ketones, 19 hydrocarbons, and 14 miscellaneous compounds, could be identified by gas chromatography and gas chromatography-mass spectrometry. Among them, acids and esters were gradually decreased during the progress of curing after harvesting. A rapid increase in alcohol content was observed in the earlier stage of curing, but thereafter, decrease followed until the end of curing However, aldehyde and ketone groups were continuously increased during curing and were 3 times higher in quantity after curing than at the harvesting time. The concentration of hydrocarbons was increased in the earlier stage of curing, but gradually decreased from the middle stage. The miscellaneous compounds were continuously increased in content until the end stage of curing, with rapid increased in the earlier stage of curing.

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Call admission control for ATM networks using a sparse distributed memory (ATM 망에서 축약 분산 기억 장치를 사용한 호 수락 제어)

  • 권희용;송승준;최재우;황희영
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.3
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    • pp.1-8
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    • 1998
  • In this paper, we propose a Neural Call Admission Control (CAC) method using a Sparse Distributed Memory(SDM). CAC is a key technology of TM network traffic control. It should be adaptable to the rapid and various changes of the ATM network environment. conventional approach to the ATM CAC requires network analysis in all cases. So, the optimal implementation is said to be very difficult. Therefore, neural approach have recently been employed. However, it does not mett the adaptability requirements. because it requires additional learning data tables and learning phase during CAC operation. We have proposed a neural network CAC method based on SDM that is more actural than conventioal approach to apply it to CAC. We compared it with previous neural network CAC method. It provides CAC with good adaptability to manage changes. Experimenatal results show that it has rapid adaptability and stability without additional learning table or learning phase.

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Environmental Impacts of Port and Industrial Development Along the Thi Vai River

  • Tran, Ha Phuong;Nguyen, Tho;Nguyen, Thanh Hung
    • Journal of Environmental Impact Assessment
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    • v.18 no.6
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    • pp.435-443
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    • 2009
  • Ba Ria - Vung Tau province in Southern Vietnam is one of the fastest economic growing areas in the country, characterized by the rapid port and industrial development along the Thi Vai river. The socio-economic situation of the area has generally been improved; however, its part of the local inhabitants has not gained benefits from the changes. 35 surface water samples and 25 sediment samples were analysed with the interpretation of the SPOT images for 1995 and 2005. The data showed that rapid port and industrial development have resulted in significant losses of mangroves and agriculture land. The surface water was seriously polluted, particularly in terms of organic materials and suspended solids. It contained high and increasing oil concentrations. The river sediment was saline and slightly alkaline. It was heavily reduced, organic-rich, and contaminated with oil and heavy metals (Cu, Pb, and Cr).

Changes in Protein Contents and Activities of Proteolytic Enzymes in Medicago sativa During Regrowth

  • Kim, Tae-Hwan
    • Journal of Plant Biology
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    • v.37 no.3
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    • pp.357-363
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    • 1994
  • An expreiment with non-nodulating alfalfa (Medicago sativa L.) plants was designed to investigate the changes in protein contents and the activities of proteolytic enzymes during a regrowth period of 24 d. Shoot removal caused a depression of root growth and significantly reduced protein contents in roots. An initial decline of root proteins for the first 10 d was followed by a rapid recovery from d 11 to 24. The major increase of regrowing shoot weight occurred also from d 11. The activities of aminopeptidase and endoprotease slightly decreased in regrowing leaves, while protein contents remains stable after shoot removal. Roots exhibited source behaviour with a rapid increase of endoprotease activities for the first 10 d of regrowth; about a 370% increase over the initial level was observed. Increase in endoprotease activity in roots coincided with the time of protein remobilization after shoot removal, indicating the important role of endoproteases in protein degradation.

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Knowledge based configuration design of a train vehicle body using CATIA (CATIA를 활용한 철도차량 차체 지식기반 형상설계)

  • Hwang Ho-Yon;Lee Jae-Young;Yang Doh-Chul;Kwon Tae-Soo;Jung Hyun-Seung
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.362-369
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    • 2005
  • In this paper, a research for the knowledge based configuration design software development of a train vehicle has been presented. Parametric design and knowledge based design concepts have been introduced for rapid design changes and analyses using a commercial CAD software, $CATIA^{/circledR}$ Knowledgeware module. Positions and dimensions of door, small window, large window, and number of seats were used as design parameters. It is crucial for train vehicle design because it enables rapid conceptual design by instant configuration changes. The results of this research can be used as one sub module of the multidisciplinary train vehicle design software and provide a basic data for rolling stock behavior and driver cab ergonomics of a train vehicle.

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IT Jobs in the Era of Digital Transformation: Big Data Analytics

  • Ho Lee;Jaewon Choi
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.717-730
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    • 2019
  • The era of digital transformation (or the fourth industrial revolution) has been triggered by the rapid development of software (SW) technologies. In this era, several studies suspected rapid changes in job structures occurring around the world. Thus, there is a growing need for acquiring the skill sets required for the future. However, there are no specific studies on how existing jobs are changing. To cope with this ambiguity of job changes, this paper aims to investigate how the current job structure is changing in response to digital transformation. To identify the dynamic nature of job change over time, we conducted an analysis based on job posting data. As a result, nine job occupations and fifteen jobs were found.

A study on strategic countermeasure against product liability (중소기업 제조물 책임제도 운영 현황)

  • Park, Roh-Gook;Chang, Seog-Ju
    • Proceedings of the Safety Management and Science Conference
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    • 2011.04a
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    • pp.277-288
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    • 2011
  • Product liability as a process has developed significantly in the United Kingdom and the United States of America. The rapid introduction of product liability has recently been a prevalent phenomenon, as global changes arising from rapid development in science and the economy have resulted in a highly interconnected world economy. This thesis was established, based on current literature and business consulting cases in the position of companies, and is one of the operating subjects in a system for legal responsibility in manufactured products.

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우리나라 중소기업 제조물 책임(PL)운영방안

  • Park, No-Guk;Jang, Seok-Ju
    • Proceedings of the Safety Management and Science Conference
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    • 2012.04a
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    • pp.259-268
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    • 2012
  • Product liability as a process has developed significantly in the United Kingdom and the United States of America. The safety of the product becomes one of the most important elements in modern corporate management. The rapid introduction of product liability has recently been a prevalent phenomenon, as global changes arising from rapid development in science and the economy have resulted in a highly interconnected world economy. This thesis was established, based on current literature and business consulting cases in the position of companies, and is one of the operating subjects in a system for legal responsibility in manufactured products.

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Reconfiguration of Korea Highrise Residential Spaces in Response to Pandemic

  • Myung Sik Lee;Seung Jo Lee
    • International Journal of High-Rise Buildings
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    • v.12 no.4
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    • pp.351-362
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    • 2023
  • In modern society, rapid environmental changes are occurring due to the complex interaction of various factors. Starting in 2020, the social environment is changing rapidly due to the impact of the pandemic, and the social and economic living environment is changing significantly not only in Korea but also internationally. In this trend, behavioral and spatial changes are occurring in response to changes in the architectural living environment. To analyze changes in behavior and space from an architectural perspective in response to changes in the social environment, first organize the concept and aspects of the pandemic that caused the change, examine the theory of the pandemic, and examine architectural responses to changes in the social environment. There is a need to analyze. Therefore, in order to architecturally review changes in the social environment due to the pandemic, the purpose of this study is to analyze the living behavior and space of major highrise residential complexes in the living environment and present new spatial alternatives in response.

A Study on the Extraction of a River from the RapidEye Image Using ISODATA Algorithm (ISODATA 기법을 이용한 RapidEye 영상으로부터 하천의 추출에 관한 연구)

  • Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.4
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    • pp.1-14
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    • 2012
  • A river is defined as the watercourse flowing through its channel, and the mapping tasks of a river plays an important role for the research on the topographic changes in the riparian zones and the research on the monitoring of flooding in its floodplain. However, the utilization of the ground surveying technologies is not efficient for the mapping tasks of a river due to the irregular surfaces of the riparian zones and the dynamic changes of water level of a river. Recently, the spatial information data sets are widely used for the coastal mapping tasks due to the acquisition of the topographic information without human accessibility. In this research, we tried to extract a river from the RapidEye imagery by using the ISODATA(Iterative Self_Organizing Data Analysis) classification algorithm with the two different parameters(NIR (Near Infra-Red) band and NDVI(Normalized Difference Vegetation Index)). First, the two different images(the NIR band image and the NDVI image) were generated from the RapidEye imagery. Second, the ISODATA algorithm were applied to each image and each river was generated in each image through the post-processing steps. River boundaries were also extracted from each classified image using the Sobel edge detection algorithm. Ground truths determined by the experienced expert are used for the assessment of the accuracy of an each generated river. Statistical results show that the extracted river using the NIR band has higher accuracies than the extracted river using the NDVI.