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Manufacture of Cutting-Gouda Cheese using Lactobacillus rhamnosus_p1 and the Physicochemical Properties of Gouda Cheese during Ripening Periods (Lactobacillus rhamnosus_p1을 이용한 절단형 고다치즈 제조방법 및 숙성 중 품질특성)

  • Park, Jong-Hyuk;Jung, Hoo-Kil;Moon, Hye-Jung;Oh, Jeon-Hui;Lee, Joo-Hee;Kim, Myung-Kon;Na, Sang-Eon;Kim, Youn-Jeong;Hwang, Young-Tae
    • Journal of Dairy Science and Biotechnology
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    • v.32 no.2
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    • pp.131-139
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    • 2014
  • The aim of this study was to manufacture Cutting-Gouda cheese and to investigate the change in physicochemical properties of Cutting-Gouda cheese made with Lactobacillus rhamnosus_p1. Lactic acid bacteria were isolated from Gouda cheese ripened for more than 1 year. They were identified as 2 strains of L. rhamnosus, Lactobacillus casei, Lactobacillus curvatus, and Staphylococcus saprophyticus by 16S rDNA sequencing and named L. rhamnosus_p1, L. casei_p2, L. curvatus_p3, L. rhamnosus_p4 and S. saprophyticus_p5. The proteolytic activities of isolated strains against casein were measured using prepared skim milk agar plates. L. rhamnosus_p1 showed the highest proteolytic activity. Cutting-Gouda cheese was made with L. rhamnosus_p1, and its physicochemical properties (moisture, protein, fat, ash and free amino acid content) were measured during ripening periods. Because of the modified atmosphere packaging ($N_2{^-}$), there was no change in moisture, protein, fat, and ash in the experimental group. The total amount of free amino acids in the control and experimental group gradually increased during ripening periods. The sensory evaluation showed that the experimental group was preferable to the control group. This result suggests that L. rhamnosus_p1 has potential to be developed as a new starter for Gouda cheese.

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A Study on Improving Scheme and An Investigation into the Actual Condition about Components of Physical Distribution System (물류시스템 구성요인에 관한 실태분석과 개선방안에 관한 연구)

  • Kim, Kyeong-Cho
    • Journal of Distribution Science
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    • v.7 no.4
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    • pp.47-56
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    • 2009
  • The purpose of this study is to present an alternative improving the efficient and reasonable of the physical distribution system management is influenced by many factors. Therefore, the study depends on the documentary method and survey method to achieve the purpose of this study. The major components of a physical distribution system are refers to as elements, include warehouse·storage system, transportation system, inventory system, physical distribution information system. The factors used in this study are ① factor of product(quality·A/S·added value of product·adaption of product·technical competitive power to other enterprises), ② factor of market(market channel·kinds of customer·physical distribution share), ③ factor of warehouse·storage(warehouse design·size·direction·storage ability·warehouse quality), ④ factor of transportation(promptness·reliability·responsibility·kinds of transportation·cooperation united transportation system·national transportation network), ⑤ factor of packaging (packaging design·material·educating program·pollution degree measure program), ⑥ factor of inventory(ordinary inventory criterion·consistence for inventories record), ⑦ factor of unloaded(unloaded machine·having machine ratio), ⑧ factor of information system (physical distribution quantity analysis·usable computer part), ⑨ factor of physical distribution cost(sales ratio to product) ⑩ factor of physical distribution system(physical distribution center etc). The implication of this study can be summarized as follows: ① In firms that have not adopted a systems integrative approach, physical distribution is a fragmented and often uncoordinated set of activities spread throughout various functions with function having its own set of priorities and measurements. ② The physical distribution is recognized as more an important strategic factor than a simple cost reduction factor, ③ It can be used a strategic competition tool to enterprise.

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A study on development and nutrient analysis of traditional food in the Sunchang area (순창지역의 전통음식 개발 및 영양평가)

  • Jo, Gye-Beom;Park, Sang-Hee;Ryu, Doo-Young;Choi, Hyun-Sook;Choi, Dubok;Chung, Dong-Ok
    • Food Science and Industry
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    • v.50 no.4
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    • pp.82-91
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    • 2017
  • The purpose of this study was to investigate development and nutrient analysis of traditional food in the Sunchang area. A total 6 kinds of set tables was excavated from storytelling. Among set tables, taste and season food were the best in Sunchang gochujang hanjeongsik and Sunchang arirang season table. Shape color, smell, and commercialization possibility and differentiation were best in Sunchang arirang season table. Mole Ratio of sodium and potassium was 1:1 in Sunchang gochujang hanjeongsik and Sunchang arirang season table. The calcium contents in Sunchang gochujang hanjeongsik and Sunchang arirang season table were higher than other traditional foods. This result indicated that Sunchang gochujang hanjeongsik and Sunchang arirang season table are useful for traditional functional food. Also, it is highly suggested to make a database system about local food and standardization of traditional foods cookery.

An Empirical Analysis of Accelerator Investment Determinants: A Longitudinal Study on Investment Determinants and Investment Performance (액셀러레이터 투자결정요인 실증 분석: 투자결정요인과 투자성과에 대한 종단 연구)

  • Jin Young Joo;Jeong Min Nam
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.4
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    • pp.1-20
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    • 2023
  • This study attempted to identify the relationship between the investment determinants of accelerators and investment performance through empirical analysis. Through literature review, four dimensions and 12 measurement items were extracted for investment determinants, which are independent variables, and investment performance was adjusted to the cumulative amount of subsequent investment based on previous studies. Performance data from 594 companies selected by TIPS from 2017 to 2019, which are relatively reliable and easy to secure data, were collected, and the subsequent investment cumulative attraction amount, which is a dependent variable, was hypothesized through multiple regression analysis three years after the investment. As a result of the study, 'industrial experience years' in the characteristics of founders, 'market size', 'market growth', 'competitive strength', and 'number of patents' in the characteristics of products and services had a significant positive (+) effect. The impact of independent variables on dependent variables was most influenced by the competitive strength of market characteristics, followed by the number of years of industrial experience, the number of patents, the size of the market, and market growth. This was different from the results of previous studies conducted mainly on qualitative research methods, and in most previous studies, the characteristics of founders were the most important, but the empirical analysis results were market characteristics. As a sub-factor, the intensity of competition, which was the subordinate to the importance of previous studies, had the greatest influence in empirical analysis. The academic significance of this study is that it presented a specific methodology to collect and build 594 empirical samples in the absence of empirical research on accelerator investment determinants, and created an opportunity to expand the theoretical discussion of investment determinants through causal research. In practice, the information asymmetry and uncertainty of startups that accelerators have can help them make effective investment decisions by establishing a systematic model of experience-dependent investment determinants.

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A Study on the Implications of Korea Through the Policy Analysis of AI Start-up Companies in Major Countries (주요국 AI 창업기업 정책 분석을 통한 국내 시사점 연구)

  • Kim, Dong Jin;Lee, Seong Yeob
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.2
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    • pp.215-235
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    • 2024
  • As artificial intelligence (AI) technology is recognized as a key technology that will determine future national competitiveness, competition for AI technology and industry promotion policies in major countries is intensifying. This study aims to present implications for domestic policy making by analyzing the policies of major countries on the start-up of AI companies, which are the basis of the AI industry ecosystem. The top four countries and the EU for the number of new investment attraction companies in the 2023 AI Index announced by the HAI Research Institute at Stanford University in the United States were selected, The United States enacted the National AI Initiative Act (NAIIA) in 2021. Through this law, The US Government is promoting continued leadership in the United States in AI R&D, developing reliable AI systems in the public and private sectors, building an AI system ecosystem across society, and strengthening DB management and access to AI policies conducted by all federal agencies. In the 14th Five-Year (2021-2025) Plan and 2035 Long-term Goals held in 2021, China has specified AI as the first of the seven strategic high-tech technologies, and is developing policies aimed at becoming the No. 1 AI global powerhouse by 2030. The UK is investing in innovative R&D companies through the 'Future Fund Breakthrough' in 2021, and is expanding related investments by preparing national strategies to leap forward as AI leaders, such as the implementation plan of the national AI strategy in 2022. Israel is supporting technology investment in start-up companies centered on the Innovation Agency, and the Innovation Agency is leading mid- to long-term investments of 2 to 15 years and regulatory reforms for new technologies. The EU is strengthening its digital innovation hub network and creating the InvestEU (European Strategic Investment Fund) and AI investment fund to support the use of AI by SMEs. This study aims to contribute to analyzing the policies of major foreign countries in making AI company start-up policies and providing a basis for Korea's strategy search. The limitations of the study are the limitations of the countries to be analyzed and the failure to attempt comparative analysis of the policy environments of the countries under the same conditions.

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Development of Beauty Experience Pattern Map Based on Consumer Emotions: Focusing on Cosmetics (소비자 감성 기반 뷰티 경험 패턴 맵 개발: 화장품을 중심으로)

  • Seo, Bong-Goon;Kim, Keon-Woo;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.179-196
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    • 2019
  • Recently, the "Smart Consumer" has been emerging. He or she is increasingly inclined to search for and purchase products by taking into account personal judgment or expert reviews rather than by relying on information delivered through manufacturers' advertising. This is especially true when purchasing cosmetics. Because cosmetics act directly on the skin, consumers respond seriously to dangerous chemical elements they contain or to skin problems they may cause. Above all, cosmetics should fit well with the purchaser's skin type. In addition, changes in global cosmetics consumer trends make it necessary to study this field. The desire to find one's own individualized cosmetics is being revealed to consumers around the world and is known as "Finding the Holy Grail." Many consumers show a deep interest in customized cosmetics with the cultural boom known as "K-Beauty" (an aspect of "Han-Ryu"), the growth of personal grooming, and the emergence of "self-culture" that includes "self-beauty" and "self-interior." These trends have led to the explosive popularity of cosmetics made in Korea in the Chinese and Southeast Asian markets. In order to meet the customized cosmetics needs of consumers, cosmetics manufacturers and related companies are responding by concentrating on delivering premium services through the convergence of ICT(Information, Communication and Technology). Despite the evolution of companies' responses regarding market trends toward customized cosmetics, there is no "Intelligent Data Platform" that deals holistically with consumers' skin condition experience and thus attaches emotions to products and services. To find the Holy Grail of customized cosmetics, it is important to acquire and analyze consumer data on what they want in order to address their experiences and emotions. The emotions consumers are addressing when purchasing cosmetics varies by their age, sex, skin type, and specific skin issues and influences what price is considered reasonable. Therefore, it is necessary to classify emotions regarding cosmetics by individual consumer. Because of its importance, consumer emotion analysis has been used for both services and products. Given the trends identified above, we judge that consumer emotion analysis can be used in our study. Therefore, we collected and indexed data on consumers' emotions regarding their cosmetics experiences focusing on consumers' language. We crawled the cosmetics emotion data from SNS (blog and Twitter) according to sales ranking ($1^{st}$ to $99^{th}$), focusing on the ample/serum category. A total of 357 emotional adjectives were collected, and we combined and abstracted similar or duplicate emotional adjectives. We conducted a "Consumer Sentiment Journey" workshop to build a "Consumer Sentiment Dictionary," and this resulted in a total of 76 emotional adjectives regarding cosmetics consumer experience. Using these 76 emotional adjectives, we performed clustering with the Self-Organizing Map (SOM) method. As a result of the analysis, we derived eight final clusters of cosmetics consumer sentiments. Using the vector values of each node for each cluster, the characteristics of each cluster were derived based on the top ten most frequently appearing consumer sentiments. Different characteristics were found in consumer sentiments in each cluster. We also developed a cosmetics experience pattern map. The study results confirmed that recommendation and classification systems that consider consumer emotions and sentiments are needed because each consumer differs in what he or she pursues and prefers. Furthermore, this study reaffirms that the application of emotion and sentiment analysis can be extended to various fields other than cosmetics, and it implies that consumer insights can be derived using these methods. They can be used not only to build a specialized sentiment dictionary using scientific processes and "Design Thinking Methodology," but we also expect that these methods can help us to understand consumers' psychological reactions and cognitive behaviors. If this study is further developed, we believe that it will be able to provide solutions based on consumer experience, and therefore that it can be developed as an aspect of marketing intelligence.

Development of Detection Method for Oilfish (Ruvettus pretiosus and Lepidocybirium flavobrunneum) as a Food Materials not Usable in Foods (식품원료로 사용금지 대상인 기름치 (기름갈치꼬치 및 흑갈치꼬치) 판별법 개발)

  • Park, Yong-Chjun;Kim, Mi-Ra;Jung, Yong-Hyun;Shin, Joon-Ho;Kim, Kyu-Heon;Lee, Jae-Hwang;Cho, Tae-Yong;Lee, Hwa-Jung;Lee, Sang-Jae;Han, Sang-Bae
    • Journal of Food Hygiene and Safety
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    • v.28 no.1
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    • pp.50-55
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    • 2013
  • Since 1 June 2012, it is prohibited to sell oilfish as a food material but there are still many illegal cases of selling oilfish as if it is tuna or grilled Patagonian toothfish. So it is absolutely crucial to construct the system to distinguish the real food material from oilfish. There are two sorts of oil fish called Ruvettus pretiosus and Lepidocybirium flavobrunneum involved in Percifomes order and Gempylidae class. 16S DNA gene region in mitochondria was selected to design the specific primers. For design species-specific primer, the theoretical experiment were performed for the sequences of R. pretiosus, L. flavobrunneum, Thunnus thynnus, Thunnus albacores, Makaira mitsukurii and Xiphias gladius, registered at the Gene bank from the National Centre for Biotechnology Information, using BioEdit 7.0.9.0. program. Through the analysis of the result from experiments, it was possible to design the 4 kinds of primers to distinguish R. pretiosus and L. flavobrunneum. As a comparison group, 3 kinds of tuna and 4 kinds of billfishes were selected and experimental verification was performed. As a result, for R. pretiosus and L. flavobrunneum, R.P-16S-006-F/R.P-16S-008-R and L.F-16S-004-F/L.F-16S-006-R primers were selected eventually and PCR condition was established. In addition, 178bp and 238bp of PCR products were confirmed from the established condition and non-specific band was not amplified among similar species. Therefore, the species-specific primers developed in this study would be very useful and used in various ways such as internet shopping mall and illegal distributions with fast and scientific results.

Risk Ranking Determination of Combination of Foodborne Pathogens and Livestock or Livestock Products (식중독 세균과 주요 축산식품 및 가공품 조합에 대한 위해순위 결정)

  • Hong, Soo-Hyeon;Park, Na-Yoon;Jo, Hye-Jin;Ro, Eun-Young;Ko, Young-Mi;Na, Yu-Jin;Park, Keun-Cheol;Choi, Bum-Geun;Min, Kyung-Jin;Lee, Jong-Kyung;Moon, Jin-San;Yoon, Ki-Sun
    • Journal of Food Hygiene and Safety
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    • v.30 no.1
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    • pp.1-12
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    • 2015
  • This study was performed to determine risk ranking of the combination of pathogen-livestock or livestock products to identify the most significant public health risks and to prioritize risk management strategies. First, we reviewed foodborne outbreak data related to livestock products and determined main vehicles and pathogens according to the number of outbreak and case. Second, expert's opinion about management priority of pathogen-livestock product pairing was surveyed with 19 livestock experts in the university, research center, and government agency. Lastly, we used the outcome of Risk Ranger (semi-quantitative risk ranking tool) of 14 combinations of pathogen and livestock or livestock products. We have classified the combination of pathogen-livestock products into group I (high risk), II (medium risk), and III (low risk) according to their risk levels and management priority. Group I, which is the highest risk for foodborne outbreak, includes Salmonella spp./egg and egg products, Campylobacter spp./poultry, pathogenic E. coli/meat and processed ground meat. In conclusion, the results of this study will provide the specific guideline of mid- and long-term planning for risk assessment and risk management prioritization of the combination of pathogen and livestock, or livestock product.

A Comparison of Gene Extraction Methods for the Identification of Raw Materials from Processed Meat Products (식육추출가공품의 사용원료 확인을 위한 유전자추출 방법의 비교 및 검토)

  • Park, Yong-Chjun;Kim, Mi-Ra;Lim, Ji-Young;Park, Young-Eun;Shin, Jun-Ho;Hwang, Cho-Rong;Lim, Jan-Di;Kim, Kyu-Heon;Lee, Jae-Hwang;Cho, Tae-Yong;Lee, Hwa-Jung;Han, Sang-Bae
    • Journal of Food Hygiene and Safety
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    • v.27 no.2
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    • pp.146-151
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    • 2012
  • In this study, effective gene extraction methods were compared to identify raw materials of processed meat products through molecular biological methods. Species specific primers were used to identify ingredients of processed foods and, as a sample, 13 kinds of processed meat products including beef, pork and chicken. According to the type of sample, 13 kinds of samples were classified into liquid type, source type and powder type. The samples were pre-treated (centrifugation) and (or) performed Whole Gene Amplification (WGA) kit for amplification of the extracted DNA. As a result, it was possible to identify the raw material of products through the centrifugation of sample 1 ml for liquid type of processed meat products. For source type of products after gene extraction, it was required to perform WGA for the identification of ingredients. For powder type products did not required any further pre-treatment and WGA. In this study, it was an opportunity to confirm the possibility of identification of raw material from the gene extraction of processed meat products and this method could be used to examine the authenticity of raw material of products.

Mechanism and Spray Characteristics of a Mini-Sprinkler with Downward Spray for Prevention of Drop Water (하향 분사식 미니스프링클러의 낙수방지 메카니즘과 살수 특성)

  • Kim, Hong-Gyoo;Chung, Sung-Won
    • Journal of Bio-Environment Control
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    • v.16 no.3
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    • pp.210-216
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    • 2007
  • A study was conducted to find mechanism and spray characteristics of a mini-sprinkler with downward spray to develop a new design type to be able to prevent drop water. The experiments were executed in a plastic greenhouse to minimize the effect of the wind. Data was collected at five different operation pressures and at 4 different raiser heights. Spray characteristics of the sprinkler such as effective radius, effective area, mean application depth, absolute maximum application depth, effective maximum application depth and coefficient of variation were determined. In order to analyze the mechanism and packing supporter of sprinkler, the numerical simulation using ABAQUS was performed. The optimum pressure for preventing drop water was determined.