• Title/Summary/Keyword: BIG five

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Volatile Constituents of Fermented Big Eyed Herring and Slimy (밴댕이 및 주둥치젓의 휘발성성분)

  • Lee, Eung-Ho;Koo, Jae-Keun;Cha, Yong-Jun;Ahn, Chang-Bum;Oh, Kwang-Soo
    • Korean Journal of Food Science and Technology
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    • v.17 no.6
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    • pp.437-441
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    • 1985
  • In order to elucidate the flavor compounds of fermented big eyed herring, Harengula zunasi (BLEEKER), and slimy, Leiognathus nuchalis (TEMMINCK et SCHEGEL), the volatile constituents of products were analysed by GLC. In the volatile compounds of fermented big eyed herring, eight kinds of volatile fatty acids, nine kinds of volatile carbonyls, and five kinds of volatile amines were identified. While in the fermented slimy, seven kinds of volatile fatty acids, six kinds volatile carbonyls, and five kinds of volatile amines were also identified. In the volatile fatty acids and volatile amines, n-butyric acid and trimethylamine were the most dominant component in both fermented products. In the fermented big eyed herring 2-methylpropanal, ethanal, and propanal were abundant holding 36.2%, 28.5%, and 16.2%, while in the fermented slimy ethanal, 2-methylpropanal, and propanal were abundant holding 44.7%, 24.1%, and 14.4% of total volatile carbonyls, respectively. From the experimental results, it was concluded that n-butyric acid, trimethylamine and volatile carbonyls such as 2-methylpropanal, ethanal and propanal played an important role in the flavor of the fermented big eyed herring and slimy.

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Urban Vitality Assessment Using Spatial Big Data and Nighttime Light Satellite Image: A Case Study of Daegu (공간 빅데이터와 야간 위성영상을 활용한 도시 활력 평가: 대구시를 사례로)

  • JEONG, Si-Yun;JUN, Byong-Woon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.4
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    • pp.217-233
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    • 2020
  • This study evaluated the urban vitality of Daegu metropolitan city in 2018 using emerging geographic data such as spatial big data, Wi-Fi AP(access points) and nighttime light satellite image. The emerging geographic data were used in this research to quantify human activities in the city more directly at various spatial and temporal scales. Three spatial big data such as mobile phone data, credit card data and public transport smart card data were employed to reflect social, economic and mobility aspects of urban vitality while public Wi-Fi AP and nighttime light satellite image were included to consider virtual and physical aspects of the urban vitality. With PCA (Principal Component Analysis), five indicators were integrated and transformed to the urban vitality index at census output area by temporal slots. Results show that five clusters with high urban vitality were identified around downtown Daegu, Daegu bank intersection and Beomeo intersection, Seongseo, Dongdaegu station and Chilgok 3 district. Further, the results unveil that the urban vitality index was varied over the same urban space by temporal slots. This study provides the possibility for the integrated use of spatial big data, Wi-Fi AP and nighttime light satellite image as proxy for measuring urban vitality.

Research on Satisfaction Evaluation Based on Tourist Big Data

  • Guo, Hanwen;Liu, Ziyang;Jiao, Zeyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.1
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    • pp.231-244
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    • 2022
  • With the improvement of people's living standards and the development of tourism, tourists have greater freedom in choosing destinations. Therefore, as an indicator of satisfaction with scenic spots, tourist comments are becoming increasingly prominent. This paper aims to compare and analyze the landscape image of the Five Great Mountains in China and provide specific strategies for its development. The online reviews of tourists on the Online Travel Agency (OTA) website about the Five Great Mountains from 2015 to 2018 are collected as research samples. The text analysis method and R language are used to analyze the content of the tourist reviews, while the high-frequency words in the word cloud are used for visual display. In addition, the entropy weight method is used to determine the index weight and tourist satisfaction is evaluated to understand the weaknesses of those scenic spots. The results of the study show that firstly, the tourist satisfaction with the Five Great Mountains is basically consistent with its popularity. Secondly, through weight analysis, tourists pay special attention to the landscape features and environmental health of the scenic area, so that relevant departments should focus on building the landscape characteristics and improving the environmental health of the scenic area. At the same time, the accommodation and service management of the scenic spot cannot be ignored. Finally, according to the analysis results, suggestions are made on how to improve the tourist satisfaction with the Five Great Mountains.

Implementation of High Speed Big Data Processing System using In Memory Data Grid in Semiconductor Process (반도체 공정에서 인 메모리 데이터 그리드를 이용한 고속의 빅데이터 처리 시스템 구현)

  • Park, Jong-Beom;Lee, Alex;Kim, Tony
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.5
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    • pp.125-133
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    • 2016
  • Data processing capacity and speed are rapidly increasing due to the development of hardware and software in recent time. As a result, data usage is geometrically increasing and the amount of data which computers have to process has already exceeded five-thousand transaction per second. That is, the importance of Big Data is due to its 'real-time' and this makes it possible to analyze all the data in order to obtain accurate data at right time under any circumstances. Moreover, there are many researches about this as construction of smart factory with the application of Big Data is expected to have reduction in development, production, and quality management cost. In this paper, system using In-Memory Data Grid for high speed processing is implemented in semiconductor process which numerous data occur and improved performance is proven with experiments. Implemented system is expected to be possible to apply on not only the semiconductor but also any fields using Big Data and further researches will be made for possible application on other fields.

Speed Trial Analysis of Korean Ice Breaking Research Vessel 'Araon' on the Big Floes (큰 빙판에서 아라온 호 쇄빙 속도 성능 해석)

  • Kim, Hyun Soo;Lee, Chun-Ju;Choi, Kyungsik
    • Journal of the Society of Naval Architects of Korea
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    • v.49 no.6
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    • pp.478-483
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    • 2012
  • The speed performances of ice sea trial on the Arctic(2010 & 2011) area were shown different results depend on the ice floe size. Penetration phenomena of level ice was not happened on medium ice floe and tore up by the impact force because the mass of medium ice floe is similar to the mass of Araon which is Korean ice breaking research vessel and did not shut up by the ice ridge or iceberg. The sea trial on the Amundsen sea was performed at the big floe which is classified by WMO(World Meteorological Organization). Three measurements of ice properties and five results of speed trial were obtained with different ice thicknesses and engine powers. To evaluate speed of level ice trial and model test results at the same ice thickness and engine power, the correction method of HSVA(Hamburg Ship Model Basin) was used. The thickness, snow effect, flexural strength and friction coefficient were corrected to compare the speed of sea trial. The analyzed speed at 1.03m thickness of big floe was 5.85 knots at 10MW power and it's 6.10 knots at 1.0m ice thickness and the same power. It's bigger than the results of level ice because big floe was also slightly tore up by the impact force of vessel based on the observation of recorded video.

Pan-Genomics of Lactobacillus plantarum Revealed Group-Specific Genomic Profiles without Habitat Association

  • Choi, Sukjung;Jin, Gwi-Deuk;Park, Jongbin;You, Inhwan;Kim, Eun Bae
    • Journal of Microbiology and Biotechnology
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    • v.28 no.8
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    • pp.1352-1359
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    • 2018
  • Lactobacillus plantarum is a lactic acid bacterium that promotes animal intestinal health as a probiotic and is found in a wide variety of habitats. Here, we investigated the genomic features of different clusters of L. plantarum strains via pan-genomic analysis. We compared the genomes of 108 L. plantarum strains that were available from the NCBI GenBank database. These genomes were 2.9-3.7 Mbp in size and 44-45% in G+C content. A total of 8,847 orthologs were collected, and 1,709 genes were identified to be shared as core genes by all the strains analyzed. On the basis of SNPs from the core genes, 108 strains were clustered into five major groups (G1-G5) that are different from previous reports and are not clearly associated with habitats. Analysis of group-specific enriched or depleted genes revealed that G1 and G2 were rich in genes for carbohydrate utilization (${\text\tiny{L}}-arabinose$, ${\text\tiny{L}}-rhamnose$, and fructooligosaccharides) and that G3, G4, and G5 possessed more genes for the restriction-modification system and MazEF toxin-antitoxin. These results indicate that there are critical differences in gene content and survival strategies among genetically clustered L. plantarum strains, regardless of habitats.

A Study on the Subjectivity of Customers Using the Big Blur Phenomenon and Kiosk Introduction (외식업체 빅 블러(Big Blur)현상과 키오스크(Kiosk)도입에 따른 이용고객의 주관성 연구)

  • Kim, Chan-Woo;Shin, Seoung-Hoon
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.268-279
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    • 2019
  • This study applied the Q methodology to the graduate students of the department of food service management in Seoul to grasp the subjective perception of customers using the big blur phenomenon and the introduction of the kiosk. As a result of the analysis, five types were derived. (N = 6): Fast payment and various order preference types, the second type (N = 6): Earning and discount benefits preference type, the third type (N = 3): Simple order preference type, The fourth type (N = 2): Employee service preference type, and the fifth type (N = 3): Safety payment preference type. In the future, the research on the Big Blur phenomenon of eating out company will be refined through more detailed Q methodological questions with analytical techniques based on extensive literature and empirical studies, and to analyze the various opinions of respondents more concretely and objectively.

Clothing Selection Criteria and Preferred Clothing Image Related to Personal Traits of Extroversion and Openness -Focused on High School Students- (외향성과 개방성 성격특성에 따른 의복선택기준과 선호의복이미지 -고등학생을 중심으로-)

  • Kim, Ji-Young
    • Journal of the Korea Fashion and Costume Design Association
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    • v.13 no.4
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    • pp.139-151
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    • 2011
  • Since personality lead to relatively consistent responses to one's own environment, consumers' distinct personality influences their buying behavior. In order to understand the relationship between consumer's personal characteristics and purchase behavior, the study investigated the effect of consumers' personality trait on the clothing selection criteria and preferred clothing image. Survey was utilized to collect the data and subjects were 333 high school students. Measures consisted of three main constructs: Consumer's extroversion and openness based on the Big-Five personality trait, clothing selection criteria, and preferred clothing image. The data were analyzed using PRELIS 2, LISREL 8.8, and SAS 9.2. The subjects was classified into three groups; Group 1 was a group of intermediate-level in openness and extroversion while Group 2 was a group of high-level in both personality traits. Group 3 was a group of high-level in openness but of low-level in extroversion. Clothing selection criteria were confirmed to have five constructs: other-directed, aesthetic, fashion & conformity-oriented, brand-oriented, and practical. In the buying situation, Group 1 prioritized fashion & conformity-oriented and brand-oriented criteria but regarded other-directed and aesthetic as less important than other groups did. Group 2 considered that all of the clothing selection criteria were important except practical. "The were six factors in the clothing image: elegance, simple, ethnic, masculine, active, and modem. The result showed a significant difference between groups in preferred clothing images. Group 2 liked most of the clothing images but group 3 did not. Group 3 preferred simple clothing image more than masculine or ethnic ones. Overall, the study concluded that the openness and extroversion of Big-Five personality traits could serve as a predictor of clothing selection criteria and preferred clothing image.

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Utilization of the Old Big Tree and Its Surrounding Space Pertaining to Cultural Value in Seoul (서울시 보호수를 대상으로 한 노거수 공간의 문화적 활용 가치 연구)

  • Jeong, Wook-Ju;Yoon, Sang-Jun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.17 no.1
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    • pp.215-233
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    • 2014
  • Seoul is an ancient city with a long history but there is hesitancy over referring to as a historic city due to the lack of traceable historic urban landscape elements which resulted from numerous invasions and general destruction. From a diachronic perspective, the nature which was survived the influence of development, could be the key element that links the past with the city's radically changed image in modern times. Although "old big trees" may be not a dominant influence with regards to the historical authenticity of the city, they are objects which contribute towards the historical authenticity by providing a sense of place in terms of connected narratives, as well as their natural image. However, the protection policy for an "old big tree" would place too much emphasis on the aspect of the ecological value rather than its cultural value. Generally, trees have been protected by installing a fence and a signboard around them as well as receiving additional care. However, it is difficult to find that surrounding space around the "law-protected tree" is connected with its original historical and cultural values. Even though the space around trees are no longer utilized in the same way as was so in the past, they still have high-potential in terms of cultural utilization. Therefore, the subject of this study is the "old big tree" as a natural object which contributed to the historical authenticity of Seoul. The current status of these "old big trees", aged between 100 and 800 years old, currently indicate that there are 215 trees designated as "law-protected tree" by the Seoul metropolitan government. This study aims to investigate the status of protection and utilization of the existing "law-protected trees" in the city of Seoul and find a way to increase both ecological preservation and cultural utilization for the high-potential "law-protected trees" within the city itself. In order to achieve this, previously researched papers shall be reviewed and surveyed pertaining to present usage patterns of the 215 "law-protected trees". In addition, five cases have been reviewed which focus on a few of utilizing the "protected trees" and their surrounding spaces. The results of the research indicate that 21 "old big trees" have high-potential in terms of cultural utilization as well as ecological value. However, it was revealed that there are limitations to pursue the value of preservation and utilization simultaneously throughout current regimental management. In order to cope with the current situation, it is pointed out that management facilities should be designed and installed by creative and flexible methods of organizing with consideration to the surrounding space and context. Even though in the case where there may not be a connecting history or legendary stories, the "old big trees" can serve as the fundamental features of small scale parks -dependent on their location, condition and environment- which will be of value to the local communities. This study could serve as a practical reference for the management and utilization of "old big trees" nationwide with numbers reaching 12,300 besides the city of Seoul.

Analysis of Practical Tasks of Technical Designers of Big Vendors (대형 의류벤더의 테크니컬 디자이너 실무 분석)

  • Ha, Hee Jung
    • Human Ecology Research
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    • v.55 no.5
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    • pp.555-566
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    • 2017
  • This study analyzes the practical tasks and required competency for technical designers to provide basic data on the training of domestic technical designers. The survey was applied to 21 technical designers of big vendors as well as investigated tasks, task flow, important tasks, time-consuming tasks, and required competencies. The results of the study are as follows. First, the technical designers were in charge of several brands of buyers and distributors of fashion companies, or several lines of the same brand. The main production items were cut and sewn knits. Second, the flow of task and tasks were in the order of buyer comments analysis, sloper decision to matching style, sewing specification, productive sewing method research, size specification suggestion, pattern correction comments, construction decision to matching style & fabric, sample evaluations, fit approval, business e-mail writing, specification & grading confirmation, and communication with buyer. Third, five tasks (analysis of buyer comments analysis, communication with buyer, pattern correction comments, productive sewing methods research, sample evaluation) were important and time-consuming tasks. Fourth, reeducation was required in order of sewing, pattern, English, fabric, and fitting. Fifth, competencies to be a technical designers were fitting, pattern correction, size specification & grading, construction & sewing specification, sewing terms & techniques, and communication skills. In conclusion, technical designer training should focus on technology-based instruction, such as sample evaluation, fitting, pattern correction, and productive sewing methods research of cut and sewn knits.