• Title/Summary/Keyword: 환경 확장

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Lean Startup and New Product Innovation - Focused on Idol TWICE Case - (린스타트업과 신제품 혁신 - 아이돌 가수 트와이스 사례를 중심으로 -)

  • Kim, Jung-Rae
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.5
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    • pp.47-57
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    • 2019
  • New product innovation is a key component of a company's survival and sustained growth. With the rapidly changing market environment and global infinite competition, The importance of innovative new product development is growing. In the domestic entertainment industry, Competition is intensifying, and many companies are focusing on developing innovative new products in order to secure continuous competitive advantage in the era of global infinite competition. The problem is that as the intensity of competition increases and the idol production system develops more and more, The costs of planning and marketing are increasing. The fair trade commission estimated the cost of creating an idol group to be about 1 billion won, and some large entertainment companies claim that the investment cost is about 20 ~ 3 billion won. Lean startup is attracting attention as an innovation framework for sustainable competitive advantage of companies. But, there are not many related studies in Korea despite the growing interest. In particular, Case studies that can help to establish specific strategies are limited. Therefore, this study analyzed the successful case of JYP Entertainment's idol singer TWICE who succeeded in new product innovation and suggested practical implications. Theoretically, This study extended the Lean startup to the entertainment industry and suggested practical implications as the basic data for establishing the innovation strategies for the idol singers of domestic entertainment companies.

A Study on the Quality of life and Posttraumatic growth among North Korean refugees (북한이탈주민의 삶의 질이 외상 경험 이후 심리적 성장에 미치는 영향)

  • Kim, Hyun-Kyoung;Jeon, Woo-Taek
    • Korean Journal of Social Welfare Studies
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    • v.40 no.2
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    • pp.363-397
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    • 2009
  • The purpose of this study was to find out correlation and predictors of posttraumatic growth of North Korean refugees in South Korea in 7years. This survey was conducted on 105 North Korean refugees in 7 years with questions on socio-demographic characteristics, personal & social variables, psychological trauma in North Korea and stress experience in South Korea. The influence of these variables was analysed. Result indicated that hope for future, perceived satisfaction, and acculturative stress had influence on the total quality of life in the South. And total quality of life affected PTG, especially emotional factors of quality of life during the early 3years living in the South affected PTG.. Additionally not only emotional but also social factors of quality of life also affected PTG with North Korean refugees in the South in 7 years. Finally, social and mental health service programs for North Krean refugees was discussed.

Time series and deep learning prediction study Using container Throughput at Busan Port (부산항 컨테이너 물동량을 이용한 시계열 및 딥러닝 예측연구)

  • Seung-Pil Lee;Hwan-Seong Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.391-393
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    • 2022
  • In recent years, technologies forecasting demand based on deep learning and big data have accelerated the smartification of the field of e-commerce, logistics and distribution areas. In particular, ports, which are the center of global transportation networks and modern intelligent logistics, are rapidly responding to changes in the global economy and port environment caused by the 4th industrial revolution. Port traffic forecasting will have an important impact in various fields such as new port construction, port expansion, and terminal operation. Therefore, the purpose of this study is to compare the time series analysis and deep learning analysis, which are often used for port traffic prediction, and to derive a prediction model suitable for the future container prediction of Busan Port. In addition, external variables related to trade volume changes were selected as correlations and applied to the multivariate deep learning prediction model. As a result, it was found that the LSTM error was low in the single-variable prediction model using only Busan Port container freight volume, and the LSTM error was also low in the multivariate prediction model using external variables.

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Global Trends of In-Situ Resource Utilization (우주 현지자원활용 글로벌 동향 )

  • Dong Young Rew
    • Journal of Space Technology and Applications
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    • v.3 no.3
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    • pp.199-212
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    • 2023
  • In contrast to the short-term nature of lunar missions in the past, lunar missions in new space era aim to extend the presence on the lunar surface and to use this capability for the Mars exploration. In order to realize extended human presence on the Moon, production and use of consumables and fuels required for the habitation and transportation using in-situ resources is an important prerequisite. The Global Exploration Roadmap presented by the International Space Exploration Coordination Group (ISECG), which reflects the space exploration plans of participating countries, shows the phases of progress from lunar surface exploration to Mars exploration and relates in-situ resource utilization (ISRU) capabilities to each phase. Based on the ISRU Gap Assessment Report from the ISECG, ISRU technology is categorized into in-situ propellant and consumable production, in-situ construction, in-space manufacturing, and related areas such as storage and utilization of products, power systems required for resource utilization. Among the lunar resources, leading countries have prioritized the utilization of ice water existing in the permanent shadow region near the lunar poles and the extraction of oxygen from the regolith, and are preparing to investigate the distribution of resources and ice water near the lunar south pole through unmanned landing missions. Resource utilization technologies such as producing hydrogen and oxygen from water by hydroelectrolysis and extracting oxygen from the lunar regolith are being developed and tested in relevant lunar surface analogue environments. It is also observed that each government emphasizes the use and development of the private sector capabilities for sustainable lunar surface exploration by purchasing lunar landing services and providing opportunities to participate in resource exploration and material extraction.

A Study on the Application of the Price Prediction of Construction Materials through the Improvement of Data Refactor Techniques (Data Refactor 기법의 개선을 통한 건설원자재 가격 예측 적용성 연구)

  • Lee, Woo-Yang;Lee, Dong-Eun;Kim, Byung-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.6
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    • pp.66-73
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    • 2023
  • The construction industry suffers losses due to failures in demand forecasting due to price fluctuations in construction raw materials, increased user costs due to project cost changes, and lack of forecasting system. Accordingly, it is necessary to improve the accuracy of construction raw material price forecasting. This study aims to predict the price of construction raw materials and verify applicability through the improvement of the Data Refactor technique. In order to improve the accuracy of price prediction of construction raw materials, the existing data refactor classification of low and high frequency and ARIMAX utilization method was improved to frequency-oriented and ARIMA method utilization, so that short-term (3 months in the future) six items such as construction raw materials lumber and cement were improved. ), mid-term (6 months in the future), and long-term (12 months in the future) price forecasts. As a result of the analysis, the predicted value based on the improved Data Refactor technique reduced the error and expanded the variability. Therefore, it is expected that the budget can be managed effectively by predicting the price of construction raw materials more accurately through the Data Refactor technique proposed in this study.

A Study on the case of Application of Women's Personnel in the Australian Defence Force (호주군 여성인력의 활용과 우리군에 주는 시사점)

  • In-Chan Kim;Jong-Hoon Kim;Jun-Hak Sim;Kang-Hee Lee;Sang-Keun Cho;Sang-Hyuk Park;Myung-Sook Hong
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.269-273
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    • 2023
  • After participating in the Second Boer War in 1899, the Australian Army participated in world wars such as World War I, World War II, the Korean War, and the Vietnam War. To overcome the decline in the social recognition of soldiers and the continuous shortage of troops caused by the protracted war, the status and role of female personnel were expanded. The use of female manpower, which started as medical support during the Second Boer War, expanded to combat support missions such as communications, maintenance, driving, secret document management, and radar surveillance during World War II. After the Vietnam War, the Chiefs of Staff of the Australian Army, Navy and Air Force established a committee to expand women's participation in the military, improved service conditions for female personnel and supplemented regulations so that they were treated as soldiers, not women, and reached a turning point in expanding the role of female personnel in the Australian military. As a result, all combat positions, including special forces, were opened to women in 2014, and a plan was established to increase the proportion of women in each service by 2030. As a result, all combat positions, including special forces, were opened to women in 2014, and the Australian Armed Forces set a plan to increase the proportion of women by 2030. Like the Australian military, South Korea is also experiencing a demographic cliff and shortage of troops due to the continuing low birthrate problem. Through the history and current state of the use of female personnel in the Australian military, we would like to draw implications for the direction our military should go.

Analysis of Changes in Restaurant Attributes According to the Spread of Infectious Diseases: Application of Text Mining Techniques (감염병 확산에 따른 레스토랑 선택속성 변화 분석: 텍스트마이닝 기법 적용)

  • Joonil Yoo;Eunji Lee;Chulmo Koo
    • Information Systems Review
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    • v.25 no.4
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    • pp.89-112
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    • 2023
  • In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

Design and Validate Usability of New Types of HMD Systems to Improve Work Efficiency in Collaborative Environments (협업 환경에서 작업 효율 향상을 위한 새로운 형태의 HMD 시스템 설계 및 사용성 검증)

  • Jeong-Hoon SHIN;Hee-Ju KWON
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.1
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    • pp.57-68
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    • 2023
  • With the technological development in the era of the 4th Industrial Revolution, technologies using HMD are being applied in various fields. HMD is especially useful in virtual reality fields such as AR/VR, and is very effective in receiving vivid impressions from users located in remote locations. According to these characteristics, the frequency of using HMD is increasing in the field related to collaboration. However, when HMD is applied to collaboration, communication between experts located in remote locations and workers located in the field is not smooth, causing various problems in terms of usability. In this paper, remote experts and workers in the field use HMD to solve various problems arising from collaboration, design/propose new types of HMD structures and functions that enable more efficient collaboration, and verify their usability using SUS evaluation techniques. As a result of the SUS evaluation, the new type of HMD structure and function proposed in this paper was 86.75points, which is believed to have greatly resolved the restrictions on collaboration and inconvenience in use of the existing HMD structure. In the future, when the HMD structure and design proposed in this paper are actually applied, it is expected that the application technology using HMD will expand rapidly.

Comparison of Carbon Emissions between the TBM Method and the NATM Method through LCA Analysis (LCA 분석을 통한 TBM 공법과 NATM 공법의 탄소배출량 비교 연구)

  • Tae-Su Jang;Jae-Soon Khau;Jin-Hyuk Song;Nam-Sun Hwang
    • Explosives and Blasting
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    • v.41 no.4
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    • pp.9-16
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    • 2023
  • To compare the global warming impact of the TBM and NATM method, which are representative tunnel excavation methods, a life cycle assessment was performed for each method. Life cycle assessment should compare the sum of carbon emissions by considering the pre-manufacturing stage, product manufacturing stage, usage stage, and disposal stage. However, access to TBM (Tunnel Boring Machine) manufacturing and disposal data is limited, so I had no choice but to focus on the analysis for the usage stage. In general, carbon emissions during the pre-product manufacturing stage and product manufacturing stage often exceed 90% of carbon emissions throughout the entire process. Therefore, since it is difficult to achieve the analysis goal only by comparing the usage stage, the analysis scope was expanded, and carbon emissions for the process were calculated for the NATM method with access to manufacturing data. As a result of comparing the relative impact on global warming, the carbon emissions of the TBM method were found to be higher than those of the NATM method even though TBM method was only considered for the usage stage. So there it is, the NATM method can be seen as environmentally friendly in the future when considering the impact of climate change (global warming), which has recently attracted attention among environmental impact fields.

Modified AWSSDR method for frequency-dependent reverberation time estimation (주파수 대역별 잔향시간 추정을 위한 변형된 AWSSDR 방식)

  • Min Sik Kim;Hyung Soon Kim
    • Phonetics and Speech Sciences
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    • v.15 no.4
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    • pp.91-100
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    • 2023
  • Reverberation time (T60) is a typical acoustic parameter that provides information about reverberation. Since the impacts of reverberation vary depending on the frequency bands even in the same space, frequency-dependent (FD) T60, which offers detailed insights into the acoustic environments, can be useful. However, most conventional blind T60 estimation methods, which estimate the T60 from speech signals, focus on fullband T60 estimation, and a few blind FDT60 estimation methods commonly show poor performance in the low-frequency bands. This paper introduces a modified approach based on Attentive pooling based Weighted Sum of Spectral Decay Rates (AWSSDR), previously proposed for blind T60 estimation, by extending its target from fullband T60 to FDT60. The experimental results show that the proposed method outperforms conventional blind FDT60 estimation methods on the acoustic characterization of environments (ACE) challenge evaluation dataset. Notably, it consistently exhibits excellent estimation performance in all frequency bands. This demonstrates that the mechanism of the AWSSDR method is valuable for blind FDT60 estimation because it reflects the FD variations in the impact of reverberation, aggregating information about FDT60 from the speech signal by processing the spectral decay rates associated with the physical properties of reverberation in each frequency band.