• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.47-47
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• 2021

글로벌 물산업의 규모는 2019년 기준 약 1,000조원 수준으로 2024년까지 연평균 3.5%의 성장률을 달성할 것으로 예측하고 있다. 특히 코로나 19의 영향으로 디지털 물산업에 대한 투자가 증가하고 있으며 4차산업혁명 등으로 지속 성장이 예상되고 있다. 이러한 디지털 물산업 시장의 성장은 물산업분야의 기술경쟁력의 중요도가 더욱 높아질 것을 예상하게 한다. 우리나라의 물산업에 있어서 기술경쟁력 분석을 위해 많은 연구가 진행되어왔으나 대부분 설문조사에 근거한 정석적 분석에 의존하여 왔다. 정성적인 분석에 의존한 연구의 경우, 대상 응답자들이 특정 분야에 치중되어 분석되거나 긍정적으로 판단하는 경향이 있어 우리나라의 물산업 기술의 현재 상황을 과대평가할 가능성이 있다. 또한 연구시점, 설문분야에 따라 결과가 상이할 수 있어 결과의 신뢰성 및 시계열적 추이분석이 어려워 물산업정책 수립을 위해 활용되는데 한계가 존재하였다. 본연구에서는 기존의 정성적 분석에서 벗어나 정량적인 자료에 근거하여 우리나라의 물산업 기술수준과 시장지배를 동시에 고려하여 분석하였다. 물산업의 기술영향력지수(Cites per Patent)와 시장지배력지수(Patent Family Size)를 기준으로 선도국가와 국내 물산업 기술수준 및 시장영향력을 비교하고 평가하였다. 연구결과의 정책적 활용을 위해 물기술과 물시장의 상이한 분류체계를 물시장 중심으로 재분류하여 물산업 기술경쟁력을 분석하여 제시하였다. 연구결과 우리나라의 국내 기술영향력 중 가장 낮은 분야는 하수도 디지털 분야로 선도국가 대비 30% 수준이었으며 시장지배력분야 또한 하수분야로 7% 수준으로 파악되었다.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.1-19
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• 2024

The work environment that produces and preserves records is changing in the digital transformation era, going beyond the new technologies of the Fourth Industrial Revolution. The electronic records management strategy in the archives must be prepared according to the technology, policy, and environmental changes related to overall records management of the era. Based on this, the basic environment in which the public can access records can be created by preserving the value of records. This study analyzes the direction of changes and strategies of records management in the digital environment and the direction of electronic records management strategies of the National Archives & Records Administration (NARA) in the United States, the National Archives of Australia (NAA), and the National Archives of Korea (NAK). Based on the analysis, the study suggests policies, facilities, and personnel elements as the core of the national electronic records management strategy and direction in the digital era.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.101-107
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• 2018

Recently, Korea's defense industry has advanced highly, and defense R&D budget is gradually increasing in defense budget. However, without objective analysis of defense industry technology, effective defense R&D activities are limited and defense budgets can be used inefficiently. Therefore, in addition to analyzing the defense industry technology quantitatively reflecting the opinions of the experts, this paper aims to analyze the defense industry technology objectively by quantitative methods, and to make efficient use of the defense budget. In addition, we propose a patent analysis method to grasp the characteristics of the defense industry technology and the vacant technology objectively and systematically by applying the big data analysis method, which is one of the keywords of the 4th industrial revolution, to the defense industry technology. The proposed method is applied to the technology of the firepower industry among several defense industrial technologies and the case analysis is conducted. In the process, the patents of 10 domestic companies related to firepower were collected through the Kipris in the defense industry companies' classification of the Korea Defense Industry Association(KDIA), and the data matrix was preprocessed to utilize IPC codes among them. And then, we Implemented association rule mining which can grasp the relation between each item in data mining technique using R program. The results of this study are suggested through interpretation of support, confidence lift index which were resulted from suggested approach. Therefore, this paper suggests that it can help the efficient use of massive national defense budget and enhance the competitiveness of defense industry technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.183-193
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• 2018

The purpose of this study was to assess the implications for Daejeon's business management by analyzing the impact on the management performance of human solidarity among CEOs of small and medium venture companies in Daejeon. From 20th March to 20th May 2018, 212 questionnaires were collected from CEOs of small and medium-sized venture companies in Daejeon for this study and verified using the SPSS statistics Analysis Program. As a result, the study confirmed that the "work" and "school" connection factors have positive effects on securing government projects, improving business management, acquiring the necessary information for business growth, and securing competitiveness in 4th industrial revolution era. On the other hand, the "Region or Kin-group" connection factor does not affect the management performance. The following implications were derived fromthese studies on sustainable growth and development of business in Daejeon. First, it requires a higher level of the CEO solidarity. Second, efforts aimed at building mutual trust among CEOs in Daejeon are needed to develop close relationships and strong connections. Third, each operating association established in Daejeon needs to develop various programs for building relationships among CEOs and operate programs to increase the chances of contact.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.563-569
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• 2018

This paper is on the implementation of a system for automatically monitoring window farm hydroponics based on Arduino (utilizing Arduino's open source code) emerging as the icon of the Fourth Industrial Revolution. A window farm, which means window-type hydroponics, is offered as an alternative to fulfill the desires of people who want to grow plants aside from the busy daily life in the city. The system proposed in this paper was developed to automatically monitor a window farm hydroponics cultivation environment using the Arduino UNO board, a four-charmel motor shield, temperature and humidity sensors, illumination sensors, and a real-time clock module. Modules for hydroponics have been developed in various forms, but power consumption is high because most of them use general power and motors. Since it is not a system that is monitored automatically, there is a disadvantage in that an administrator always has to manage its operational state. The system is equipped with a water supply that is most suitable for a plant growth environment by utilizing temperature, humidity, and light sensors, which function as Internet of Things sensors. In addition, the real-time clock module can be used to provide a more appropriate water supply. The system was implemented with sketch code in a Linux environment using Raspberry Pi 3 and Arduino UNO.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.9-15
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• 2020

In this paper, we propose a case that drone (unmanned aerial vehicle), one of the representative technologies of the 4th Industrial Revolution, threatens airport safety and privacy infringement, and describes a drone control system proposal to solve the problem. Unmanned aerial vehicle (Drone) is creating a serious problem recently, In Korea, on May 21, 19, according to the Jeju Regional Aviation Administration, drones flew over Jeju Jeongseok Airfield twice in the same month, causing problems in aircraft operation. In overseas cases, two drones near the runway of Gatwick International Airport in the UK There has been a disturbance in which the takeoff and landing of the aircraft flies for a while, and various problems have occurred, such as voyeuring the private life of an individual using a drone. This paper is equipped with an Acess Point transponder mounted on a drone (unmanned aerial vehicle), and unspecified many who want to receive flight information (coordinates, altitude, and obstacles) of the drone access the drone AP, receive and receive the flight information of the drone, and receive unspecified multiple Drone AP flight information is collected and collected to provide the information of the drone currently floating on one user interface screen. In addition, an AP transponder is proposed to operate a safe drone (unmanned aerial vehicle) and the drone's flight information is transmitted., To receive and collect and collect data.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.175-186
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• 2021

The roles and functions of domestic public libraries are diversifying, but various problems have emerged due to internally biased book lending. In addition, due to the 4th Industrial Revolution, public libraries have introduced a book recommendation system focusing on popular books, but the variety of books that users can access is limited. Therefore, in this study, the public library unborrowed book recommendation system was implemented limiting its spatial scope to Duryu Library in Daegu City to enhance the satisfaction of public library users, by using the loan records data (213,093 cases), user information (35,561 people), etc. and utilizing methods like cluster analysis, topic modeling, content-based filtering recommendation algorithm, and conducted a survey on actual users' satisfaction to present the possibility and implications of the unborrowed book recommendation system. As a result of the analysis, the majority of users responded with high satisfaction, and was able to find the satisfaction was relatively high in the class classified by specific gender, age, occupation, and usual reading. Through the results of this study, it is expected that some problems such as biased book lending and reduced operational efficiency of public libraries can be improved, and limitations of the study was also presented.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.488-499
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• 2021

This study investigated the effects of the HTE creative education program, which applies blended learning methodology as a convergence class strategy between offline and online, on middle school students' creative problem solving capability. As a result of applying for five creative education practice programs in the classroom, it turned out that there was a statistically significant difference (p < .05) in the case of idea manipulation, visualization, comparison, idea generation, and deliberation, subordinate constructs of creative problem solving capability. Also, the program turned out to be positively effective, with a 0.14 point improvement in the pre and post-means of all middle school students, showing from 3.65 to 3.79 points, and 72% of middle school students who participated in the program were satisfied, and 68% were interested. According to the results, HTE creative education programs using blended learning turned out to be effective as a customized methodology in the COVID-19 situation and the era of the 4th Industrial Revolution, where various creative talents are needed. Therefore, the need for the development of creative education programs on various related topics and teacher training for teaching and learning methodologies of blended learning.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.21-29
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• 2018

In the era of the 4-th industrial revolution, the concept of smart factory is emerging. There are efforts to predict the occurrences of facility errors which have negative effects on the utilization and productivity by using data analysis. Data composed of the situation of a facility error and the type of the error, called the facility error log, is required for the prediction. However, in many manufacturing companies, the types of facility error are not precisely defined and categorized. The worker who operates the facilities writes the type of facility error in the form with unstructured text based on his or her empirical judgement. That makes it impossible to analyze data. Therefore, this paper proposes a framework for constructing a phrase network to support the identification and classification of facility error types by using facility error logs written by operators. Specifically, phrase indicating the types are extracted from text data by using dictionary which classifies terms by their usage. Then, a phrase network is constructed by calculating the similarity between the extracted phrase. The performance of the proposed method was evaluated by using real-world facility error logs. It is expected that the proposed method will contribute to the accurate identification of error types and to the prediction of facility errors.