• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.45-55
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• 2022

The size of the cryptocurrency market is growing. For example, market capitalization of bitcoin exceeded 500 trillion won. Accordingly, many studies have been conducted to predict the price of cryptocurrency, and most of them have similar methodology of predicting stock prices. However, unlike stock price predictions, machine learning become best model in cryptocurrency price predictions, conceptually cryptocurrency has no passive income from ownership, and statistically, cryptocurrency has at least three times higher liquidity than stocks. Thats why we argue that a methodology different from stock price prediction should be applied to cryptocurrency price prediction studies. We propose Reverse Walk-forward Validation (RWFV), which modifies Walk-forward Validation (WFV). Unlike WFV, RWFV measures accuracy for Validation by pinning the Validation dataset directly in front of the Test dataset in time series, and gradually increasing the size of the Training dataset in front of it in time series. Train data were cut according to the size of the Train dataset with the highest accuracy among all measured Validation accuracy, and then combined with Validation data to measure the accuracy of the Test data. Logistic regression analysis and Support Vector Machine (SVM) were used as the analysis model, and various algorithms and parameters such as L1, L2, rbf, and poly were applied for the reliability of our proposed RWFV. As a result, it was confirmed that all analysis models showed improved accuracy compared to existing studies, and on average, the accuracy increased by 1.23%p. This is a significant improvement in accuracy, given that most of the accuracy of cryptocurrency price prediction remains between 50% and 60% through previous studies.

• Journal of Popular Narrative
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• v.26 no.4
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• pp.183-212
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• 2020

GL(Girls' Love), which deals with romance between women, is considered a small, minor culture in the sub-culture market. Nevertheless, recent 'reboot feminism' in the voice of women in the epic that appears to be the central protagonist is increased, and interest in naturally glIncreasing. It encourages those who declare "post BL" to consume GLs featuring female characters instead of male characters. In an atmosphere where female creators consume female dictionaries who write women's stories and argue that they should expand the scope of their female counterparts, "Her Simcheong," a webtoon that won the 2018 Our Comics Award, explores the possibility of female epic through rewriting myths. Gender norms given to women, such as filial piety and nirvana, all get new names in . A good daughter is a liar, and a good wife has a woman she loves. Besides Simcheong, hit-and-run mothers, Jang Seung-sang's wife and Jang Seung-sang's daughter-in-law also focus on female characters' stories, highlighting solidarity among women to survive in a male-dominated society. In this process, solidarity among women naturally leads to GL imagination. Her Simcheong describes direct sexual contact, such as kissing and hugging among women, as beautiful illustrations, and shows romance between women in a manless world. While solidarity among women is always regarded as 'undangerous' friendship or girlish sensibility, the romance between women in breaks the cultural rules of women's growth novel and women's trade. This reveals the inconsistency of the conspiratorial male solidarity, which has been trading women around hegemony.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.95-118
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• 2021

As the AI speaker business has risen significantly in recent years, the potential for numerous uses of AI speakers has gotten a lot of attention. Consumers have created an environment in which they can express and share their experiences with products through various channels, resulting in a large number of reviews that leave consumers with a variety of candid opinions about their experiences, which can be said to be very useful in analyzing consumers' thoughts. Using this review data, this study aimed to examine the factors driving the continued use of AI speakers. Above all, it was determined whether the seven characteristics associated with the intention to adopt AI identified in prior studies appear in consumer reviews. Based on customer review data on Amazon.com, text mining and social network analysis were utilized to examine Amazon eco-products. CONCOR analysis was used to classify words with similar connectivity locations, and Connection centrality analysis was used to classify the factors influencing the continuous use of AI speakers, focusing on the connectivity between words derived by classifying review data into positive and negative reviews. Consumers regarded personality and closeness as the most essential characteristics impacting the continued usage of AI speakers as a result of the favorable review survey. These two parameters had a strong correlation with other variables, and connectedness, in addition to the components established from prior studies, was a significant factor. Furthermore, additional negative review research revealed that recognition failures and compatibility are important problems that deter consumers from utilizing AI speakers. This study will give specific solutions for consumers to continue to utilize Amazon eco products based on the findings of the research.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.121-126
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• 2022

This study analyzed the survival rate of commercial districts before and after the outbreak of COVID-19 by analyzing Gangnam-gu, Seoul and Suseong-gu, Daegu as independent regions, although the background and distribution of commercial districts are similar. In the basic analysis, the size of the commercial districts was much larger in Gangnam-gu, Seoul, but it was confirmed that the distribution by industry was similar. In both regions, there were more openings than closings before the outbreak of COVID-19 in common, but as the COVID-19 outbreak occurred, the closure ratio of businesses centered on face-to-face services increased significantly. As a result of the survival analysis, it was analyzed that most industries were indifferent to the risk of closure of private institutes before Corona 19, but after the outbreak of Corona 19, it was confirmed that the risk of closure of private institutes increased, especially in Daegu, which was the initial spread of Corona 19. As a result of comparing the survival rate between regions, it was analyzed that the risk of business closure in Gangnam-gu increased relatively after the outbreak of Corona 19, confirming that the contraction in the commercial area of Seoul with a large floating population was greater.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.75-91
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• 2023

As the business-to-customer (B2C) online market expands after the COVID-19 pandemic, the logistics industry has been constructing automated warehouses to handle multi-product, low-volume logistics. When constructing a logistics automation warehouse, it is crucial to validate that the facility's performance and operational logic are designed to meet the required throughput of the automated warehouse from the system design phase. This study proposes simulation-based validation and optimal alternatives for an H logistics automation warehouse in Iksan, Jeollabuk-do. Firstly, we focused on the box supply and packing processes, which are related to the release process, among the entire logistic processes. Then, we analyzed the potential bottlenecks in the target process and designed and implemented a discrete-event simulation model based on the analysis results. The simulation experiments showed that the facility parameters and operational logic identified in the system design phase did not satisfy the performance requirements of the entire automated warehouse. Additional experiments were conducted to suggest alternatives to meet the system performance requirements by changing the facility parameters and operational logic. We expect that the proposed study will be utilized in the future, not only in the system design phase but also in the system construction phase, for verification purposes to ensure that the construction proceeds according to the design.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.499-508
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• 2016

According to spreading K-pop globally, the market size related to K-pop stars is increasingly growing at home and abroad. Recently, services and products having direct interaction with the star are emerging. This research aims to propose a new service using a smart, connected social robotic figure that can support interaction between fans and K-pop stars. For this study, we begin by exploring literature about K-pop culture. Also, we investigate cases that connect between fans and stars and then build the development directions for a new service. Based on these development directions, we extract feasible technology and its interaction elements through analysing the cases of social robots. Finally, we propose the social robotic figure service in this research. This service proposed in this study can create and enhance diverse bidirectional communication between fans and stars through employing a user-customized, smart, connected figure based on a IoT platform. This research contributes to approaches for sustainable advance of K-pop through applying IoT technology.

• Korea Trade Review
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• v.41 no.4
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• pp.131-155
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• 2016

Recently, the global trade environment has been composed of transactions in trade through integration of the global supply chain network. As FTAs are being signed between countries, the country of origin (COO) system on products has become an important issue. Companies are procuring raw materials through global sourcing and supplying to the retail markets. This research deducted major factors regarding the verification and utilization of the COO system through research on domestic and international literatures, and verified the mediating effects on the verification and utilization elements of the country image and the brand image of COO on the performance of the COO system through empirical study. For the purpose of this research, we conducted a survey implementing the COO system and analyzed the 152 data collected. The results of this research is as follows: First, the external verification level of the COO system has an impact on the performance of the COO system, and a mediating effect on the country image and the brand image of the COO. Second, the management capability of the COO has an impact on the performance of the COO system, and a mediating effect on the brand image of the COO. A research comparing and analyzing the difference in establishment of the verification system of the COO depending on the size of a corporation is necessary.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.849-857
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• 2008

Technology roadmapping is one of the widely used technology planning methodologies. Using a technology roadmap, the researchers can increase the possibility of the project success by systematic management of research contents, budgets, and commercialization strategies. Currently, Ministry of Land, Transport and Maritime Affairs has a plan to increase the research fund to improve the construction industry. As a result, the number of long term research projects with more than five years of research period, is increasing. This entails the need for a methodology for the systematic planning and management of research. However, the construction industry has the characteristics that the research results should ultimately be implemented in an outdoor environment. Through processes of diverse literature reviews, questionnaire-based survey, and pilot research, this paper presents a systematic procedure for the development of construction technology roadmaps, which can consider the unique nature of the construction industry. Based on the procedure, a technology roadmap for intelligent construction monitoring is also developed.

• Asia Marketing Journal
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• v.10 no.3
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• pp.103-125
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• 2008

After having changed its corporate brand from LG Fire & Marine Insurance to LIG Non-life Insurance in 2006, LIG Insurance has successfully built the corporate image as the leading insurance financial group by engaging in extensive corporate social responsibility activities. LIG, as 'a partner for sharing precious moments of life', intended to provide customers a new value of an insurance by building up the new corporate brand. It established three values to be shared internally. First was to instill a brand value orientation within the organization. Second, the firm identified the brand's value to be delivered to the customers. Third, they defined the image objective to be communicated to them. Based on these set of objectives, the company designed and implemented an integrated marketing communication(IMC) strategy over several years. The result was a successful transition to the new corporate brand name.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.83-83
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• 2020

염증은 물리화학적 자극이나 세균 감염과 같은 외부 자극에 대응하기 위한 생체조직의 방어 반응의 하 나이며 조직이나 장기의 손상을 회복시키는 기전으로서 매우 중요한 역할을 하지만 염증반응이 과도해 질 경우 궤양성 대장염, 기관지염, 천식, 대장암 등을 유발하는 원인으로 작용하기 때문에 염증반응을 조 절하는 항염증제 개발은 매우 중요시되고 있다. 국내 염증개선 관련 시장은 현재 약 3조원 규모이며 지속 적인 성장세에 있지만 천연소재의 기능성 중심으로 출시된 제품 중 다수의 제품에서 주로 수입 원료를 사용하고 있어 국내 자생 및 재배하는 천연 소재들의 효능에 대한 검증을 통해 수입 원료 의존도를 낮추 기 위한 연구가 요구되고 있다. 따라서 본 연구에서는 순창에서 재배되는 참두릅 (Aralia elata Seem)과 도라지 (Platycodon grandiflorum)를 이용하여 천연 염증개선 소재화를 목적으로 기능성 증진을 위한 추 출조건 선정과정과 대식세포에 대한 세포독성 및 항염증 효능을 확인하여 천연소재를 이용한 염증개선 소재화를 시도하고자 한다. 본 연구는 전북 순창에서 재배되는 참두릅과 도라지의 추출조건을 선정하기 위해 용매, 온도 및 시간별 추출물의 total polyphenol 함량 평가를 통하여 최적 추출조건 선정을 진행하 였으며, 선정된 추출조건에서 추출된 추출물의 항산화 활성을 측정하기 위하여 DPPH & ABTS radical scavenging activity 및 total flavonoids 함량을 확인하여 항산화 효능을 평가하였다. 또한 대식세포인 Raw 264.7을 사용하여 MTT assay, Nitric oxide (NO) 생성 억제 효능을 확인하여 세포독성 및 항염증 활 성을 평가하였다. 실험결과, Total polyphenol 함량 분석을 통해 최적 추출조건이 선정된 두릅 (주정 40%, 25℃, 3 h), 도라지 (주정 60%, 25℃, 1 h)의 추출물을 이용하여 DPPH & ABTS radical scavenging activity 및 total flavonoids 함량을 분석한 결과, 도라지보다 두릅에서 더 높은 항산화 활성을 나타내었다. 대식세포를 활용한 두릅과 도라지의 세포독성을 측정한 결과, 100 ug/mL 이내의 농도에서 독성활성이 나타내지 않음을 확인되었으며, 항염증 활성을 측정한 결과 100 ug/mL에서 두릅 추출물이 도라지 추출 물보다 약 33% 이상 NO 생성억제 활성이 높게 나타내었다.