• Title/Summary/Keyword: Convergence Products

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Effective Text Question Analysis for Goal-oriented Dialogue (목적 지향 대화를 위한 효율적 질의 의도 분석에 관한 연구)

  • Kim, Hakdong;Go, Myunghyun;Lim, Heonyeong;Lee, Yurim;Jee, Minkyu;Kim, Wonil
    • Journal of Broadcast Engineering
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    • v.24 no.1
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    • pp.48-57
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    • 2019
  • The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.

An Inventory Model for Deteriorating Products with Ordering Cost inclusive of a Freight Cost under Trade Credit (신용거래 하에 운송비용이 포함된 주문 비용을 고려한 퇴화성 제품의 재고 모형)

  • Shinn, Seong-Whan
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.353-360
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    • 2019
  • Trade credit is being used as a price discrimination strategy by the suppliers in order to increase the customer's demand. From the viewpoint of the customer, if delayed payment is allowed for a certain period of time from the supplier, the effect of reducing the inventory carrying cost will positively affect the customer's order quantity. Also, in deriving the economic order quantity(EOQ) formula, it is tacitly assumed that the customer's ordering cost is a fixed cost. However in many business transactions, the customer pays the freight cost for the transportation of his order and so, the customer's ordering cost contains not only a fixed cost but also a freight cost which is a function of the order size. Therefore, in this study, we analyzed the inventory model which considers that the customer's ordering cost contains not only a fixed cost but also a freight cost which is a function of the customer's order size when the supplier permits a delay in payments. For the analysis, it is also assumed that inventory is exhausted not only by customer's demand but also by deterioration. Investigation of the properties of an optimal solution allows us to develop an algorithm whose validity is illustrated using an example problem.

Isolation of a Pseudoalteromonas sp. JH-1 Producing Agarase and Characterization of its Agarase (Agarase를 생산하는 Pseudoalteromonas sp. JH-1의 분리·동정 및 agarase의 특성 연구)

  • Lee, Dong-Geun;Kim, Ju-Hui;Lee, Sang-Hyeon
    • Journal of Life Science
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    • v.31 no.5
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    • pp.496-501
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    • 2021
  • In this study, the marine agar-degrading bacterium Pseudoalteromonas sp. JH-1 was isolated, and its growth and agarase properties were investigated. Seawater was collected from the offshore of the Yonggung Temple in Busan, and agar-degrading bacteria were isolated and cultured with marine agar medium. The bacterium Pseudoalteromonas sp. JH-1 was isolated through 16S rRNA gene sequencing. The extracellularly secreted enzyme was obtained from the culture broth of Pseudoalteromonas sp. JH-1 and was used to characterize its agarase. The extracellular agarase exhibited a maximum activity of 116.6 U/l at 50℃ and pH 6.0 of 20 mM Tris-HCl buffer. Relative activities were 31, 59, 94, 100, 45, and 31% at 20, 30, 40, 50, 60, and 70℃, respectively. Relative activities were 49, 85, 100, 86, 81, and 67% at pH 4, 5, 6, 7, 8, and 9, respectively. Residual activity was more than 85% after exposure at 20, 30, and 40℃ for 2 hr, and more than 82% after exposure at 50℃ for 2 hr. Zymogram analysis confirmed that Pseudoalteromonas sp. JH-1 produced at least two agarases of 55 and 97 kDa. As the products of α-agarase and β-agarase have antioxidation, antitumor, skin-whitening, macrophage activation, and prebiotic effects, further studies are needed on the agarase of Pseudoalteromonas sp. JH-1.

Security and Trust on Non-Contact Financial Transaction (금융보안과 신뢰가 비대면 금융거래에 미치는 영향)

  • John, Yong-Jean
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.147-154
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    • 2021
  • The pandemic age came to us after the COVID19 broke out in the early of 2020, which resulted in many changes in our everyday life. One of the changes is non-contact transactions in economic activities, especially contact-free financial transactions are ever-increasing activities in the pandemic age. In non-contact financial transactions, security and trust are important issues that users are concerned about the most. So the paper examines how security and trust have effects on the attitudes of bank customers who use mobile banking applications on their smartphones. The study conducted factor ananlysis to extract research constructs using survey data gathered during Nobember of 2020 through February of 2021 across the nation. After extracting the constructs, the study checked validity, sampling adequacy, and internal reliability with KMO, Bartlett's test, and Crombach Alpha respectively. To make sure the purpose of the study, I do regression analysis. All factors of attitude had impacts on willingness on both of transactions and purchasing financial products. The results could give guidelines banks which want to attract more customers in open-banking environment through ever-more secure and trusty mobile banking application.

Phylogenetic Analysis on Wild Cordyceps Collected from Miryang Region of South Korea (밀양근교에서 채집한 야생 동충하초 계통의 PCR 산물에 근거한 계통 유전학적 연구)

  • Park, Hyeancheal;Lee, Sangmong;Park, Namsook
    • Korean Journal of Plant Resources
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    • v.34 no.1
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    • pp.1-16
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    • 2021
  • The phylogenetic relationships among thirty-two strains (P1~P32; including Cordyceps sp., Paecilomyces sp., Beauveria sp., Aranthomyces sp., Isaria sp. and Himenostilbe sp.) in Miryang region located in the southern part of Korea, were investigated based on internal transcribed spacer (ITS) sequences of ribosomal DNA. A fragment of ITS region was amplified by polymerase chain reaction (PCR) using the specific primer pairs ITS1 and ITS4. After obtained same size of PCR products from various strains, we cloned them into a pGEM-T easy vector to determine their sequences. BLAST analyses of the nucleotide sequence ITS1, 5.8S and ITS2 gene fragments revealed the identity and their phylogenetic relationship. Among 32 strains isolated from Miryang region, Cordyceps militaris was shared 100% sequences with Genbank (AY49191, EU825999, AY491992), while some species are not shared perfectly with reported sequences. For example, strain P17 (P. tenuipes in Ulju-gun Gaji Mountain) has some differences among the other strains of P. tenuipes (Miryang-si Jocheon-eup, Miryang-si Gaji Mountain) and those of gene bank. We conclude that ITS analyses with strains in the suburbs of Miryang in this study can be effectively used as a tool for classification, evaluation and collection of the natural eco-type genetic resources.

A Development of Defeat Prediction Model Using Machine Learning in Polyurethane Foaming Process for Automotive Seat (머신러닝을 활용한 자동차 시트용 폴리우레탄 발포공정의 불량 예측 모델 개발)

  • Choi, Nak-Hun;Oh, Jong-Seok;Ahn, Jong-Rok;Kim, Key-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.36-42
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    • 2021
  • With recent developments in the Fourth Industrial Revolution, the manufacturing industry has changed rapidly. Through key aspects of Fourth Industrial Revolution super-connections and super-intelligence, machine learning will be able to make fault predictions during the foam-making process. Polyol and isocyanate are components in polyurethane foam. There has been a lot of research that could affect the characteristics of the products, depending on the specific mixture ratio and temperature. Based on these characteristics, this study collects data from each factor during the foam-making process and applies them to machine learning in order to predict faults. The algorithms used in machine learning are the decision tree, kNN, and an ensemble algorithm, and these algorithms learn from 5,147 cases. Based on 1,000 pieces of data for validation, the learning results show up to 98.5% accuracy using the ensemble algorithm. Therefore, the results confirm the faults of currently produced parts by collecting real-time data from each factor during the foam-making process. Furthermore, control of each of the factors may improve the fault rate.

A Study on Corporate Culture of Shanxi Fenjiu Group (산서 분주그룹 기업문화연구)

  • Xu, JingYi;Choi, MyeongCheol;Ma, XiaoDong;Ahn, JiYoung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.259-264
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    • 2022
  • In China, liquor has gone beyond mere drinks to become a culture. China's liquor culture has a long history, in China, distilled liquor companies have a huge scale and huge profits. There are many companies all over the country. Fenjiu Group is a long-lived enterprise in Shanxi Province, which has considerable influence and popularity in the Chinese liquor market. Such research on Fenjiu Group enterprises has not yet appeared in South Korea. Therefore, this study analyzes the development process and corporate culture of Fenjiu Group. Fenjiu Group has a history of more than 100 years and has achieved considerable achievements and market share in the liquor market from its inception to the present. According to the investigation, the development of Fenjiu Group stems from the excellent corporate culture. Fenjiu Group has formed and developed the corporate culture based on the core idea, quality and character orientation and honest management. Based on such corporate culture, the company develops organizational structure, manufactures products, and enjoys high popularity and market share. Through this study to improve the understanding of well-known Chinese liquor companies and time-honored brand, and to provide inspiration to Korean liquor companies.

A Case Study on the Local Culture Festival in the Contact-free Era (비대면 시대의 지역문화축제 사례연구)

  • Ahn, Hyeryung;Kim, Kenneth Chi Ho
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.425-438
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    • 2021
  • The purpose of this study is to analyze local cultural festivals hosted contact-free in the corona era and to suggest the direction for sustainable festivals in the post-corona era. To this end, by analyzing the cases of well-known festivals held contact-free in 2020 and 2021, we tried to get implications for the festivals in the post-corona era from there. As a result of this study, contact-free festivals had the following characteristics. First, the on-tact method, which produces and transmits a video or allows interaction through real-time participation, was prominent. Second, in order to compensate for the shortcomings of the contact-free method, various efforts have been made to enable on-tact experience by making and delivering experience kits in the case of experiential elements of the festival in advance. Third, communication was secured through real-time comments, and fourth, products were sold through the Internet and live commerce channels, and a certain effect was obtained. In particular, in the case of online festivals, there is a problem of loss of the sense of place of the festival, but there are cases of online festivals with more participation than offline festivals. It is judged that the problem of how to achieve this will become a reference material for the future development of contact-free festival contents.

A Study on the Effect of Consumer Characteristics on Intention to Use in Mobile Location-Based Advertising (모바일 위치기반 광고에서 소비자 특성이 이용의도에 미치는 영향에 관한 연구)

  • Cho, Won-Sang;Han, Dong-Gyun;Whang, Jae-Hoon
    • Informatization Policy
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    • v.29 no.1
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    • pp.38-59
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    • 2022
  • The development of IT technology and the spread of smartphones are having a great impact on businesses and consumers. Consumers have been able to acquire more diverse and larger amounts of information than in the past due to information provided through smartphones and information search on the internet, which has a significant influence on decision-making. Companies have also become sensitive to such changes in consumer behavior patterns, reflected in their marketing. In addition, among the various characteristics of smartphones, location-based technology has become an important factor in providing targeted marketing from a company's point of view. Such technological development and social change have led to the expansion of the mobile advertising market, which promotes products or services based on the location of consumers and provides benefits such as discount coupons. In this study, we have analyzed the influence of consumer characteristics on intention to use in mobile location-based advertising, which has become an important marketing method in the mobile advertising market. The effects of variables of personalization, engagement, coupon proneness, economic efficiency, and irritation on attitude and information privacy concerns were analyzed, and the effects of attitude and information privacy concerns on intention to use were analyzed. The results of this study are deemed to be able to suggest factors to consider when providing mobile location-based advertising to consumers in the future.

A Study on the production of Music Content Using Artificial Intelligence Composition Program (인공지능 작곡 프로그램을 활용한 음악 콘텐츠 제작 연구)

  • Park, Dahae
    • Trans-
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    • v.13
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    • pp.35-58
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    • 2022
  • This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.