• Title/Summary/Keyword: the $4^{th}$ Industrial revolution

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A Study on Construction of Platform Using Spectrum Big Data (전파 빅데이터 활용을 위한 플랫폼 구축방안 연구)

  • Kim, Hyoung Ju;Ra, Jong Hei;Jeon, Woong Ryul;Kim, Pankoo
    • Smart Media Journal
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    • v.9 no.2
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    • pp.99-109
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    • 2020
  • This paper proposes a platform construction plan for the use of spectrum big data, collects and analyzes the big data in the radio wave field, establishes a linkage plan, and presents a support system scheme for linking and using the spectrum and public sector big data. It presented a plan to build a big data platform in connection with the spectrum public sector. In a situation where there is a lack of a support system for systematic analysis and utilization of big data in the field of radio waves, by establishing a platform construction plan for the use of big data by radio-related industries, the preemptive response to realize the 4th Industrial Revolution and the status and state of the domestic radio field. The company intends to contribute to enhancing the convenience of users of the big data platform in the public sector by securing the innovation growth engine of the company and contributing to the fair competition of the radio wave industry and the improvement of service quality. In addition, it intends to contribute to raising the social awareness of the value of spectrum management data utilization and establishing a collaboration system that uses spectrum big data through joint use of the platform.

Image Restoration Algorithm using Weighted Switching Filter for Remove Random-Valued Impulse Noise (랜덤 임펄스 잡음을 제거하기 위한 가중치 스위칭 필터를 이용한 영상 복원 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.5
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    • pp.609-615
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    • 2020
  • In the modern society, the use of digital equipment is increasing along with the 4th industrial revolution, and the importance of image and signal processing is increasing. At the same time, research on noise reduction is being actively conducted. In this paper, we propose a switching filter algorithm for random-valued impulse noise cancellation. The proposed algorithm obtains the threshold value by determining the noise level present in the image, and threshold value is compared with the difference between the input pixel value and the reference value, and is used in the weight switching process of the filter. The final output of the filter is estimated by applying a pixel weight and a modified weight median filter according to the switching, and obtains a final output by comparing the estimated value with the input pixel value. To evaluate the performance of the proposed algorithm, we compared it with the existing methods using simulation and PSNR.

Study for Analyzing Defense Industry Technology using Datamining technique: Patent Analysis Approach (데이터마이닝을 통한 방위산업기술 분석 연구: 특허분석을 중심으로)

  • Son, Changho
    • 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.

The Quantification of Considerations related with Decision-making in Ground Operation : Focusing on Evaluating Avenues of Approach in IPB (지상작전과 연관된 의사결정 고려요소의 정량화 방안 : 전장정보분석의 접근로 평가요소를 중심으로)

  • Han, Seung Jo;Lee, Seungmin
    • Convergence Security Journal
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    • v.19 no.2
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    • pp.129-136
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    • 2019
  • The main tasks of commander and staffs in ground operations are a continuation performing the process of making decisions in various situations. Since the current decision-making process is largely dependent on qualitative methods, it is difficult to integrate with the decision-making tools associated with the 4th Industrial Revolution. The purpose of this study is to suggest the process of deriving the relative importance of the evaluation factors using the AHP with focusing on assessing the avenues of approach in IPB related to the ground operation plan. The most important aspect of IPB is the evaluation of the avenues of approach. Evaluation factors include target accessibility, observation and seasons, concealment and cover-up, ease of maneuverability, and ease of transition to adjacent access roads. The existing methods are the comparison method with evaluation factors and the analysis with the advantages and disadvantages. However, it has been criticized that they regard evaluation factors as equal importance. The results show that target accessibility has the highest score related with priority when considering the criteria.

The Effects of Introspective or Outgoing Personality Type on Programming Learning Motivation and Self-Directed Learning (내·외향적 성격이 프로그래밍 학습 동기와 자기주도적 학습에 미치는 영향)

  • Kim, Semin;You, Kangsoo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.8
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    • pp.1061-1067
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    • 2018
  • In the $4^{th}$ industrial revolution of the latest, the development of the technique in the software field decides the success or failure of a country. With the trend of it, each country makes a countless effort on the education of software. This study reconstructed a questionnaire of the type of personality and conducted a research applied to learners with the help of professionals. I observed the attitude of learners during the programming class and the influence of it on the learning ability of self-oriented learning and learning motivation. As a result of it, there came up with a significant difference (at the side of self-oriented studying and the motivation of studying) depending on the type of personality of learners. Therefore, we can look forward to increasing the effects of self-oriented learning and self motivation by applying to the merits of each type of personality.

Image Restoration Filter using Combined Weight in Mixed Noise Environment (복합잡음 환경에서 결합가중치를 이용한 영상복원 필터)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.210-212
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    • 2021
  • In modern society, various digital equipment are being distributed due to the influence of the 4th industrial revolution, and they are used in a wide range of fields such as automated processes, intelligent CCTV, medical industry, robots, and drones. Accordingly, the importance of the preprocessing process in a system operating based on an image is increasing, and an algorithm for effectively reconstructing an image is drawing attention. In this paper, we propose a filter algorithm based on a combined weight value to reconstruct an image in a complex noise environment. The proposed algorithm calculates the weight according to the spatial distance and the weight according to the difference between the pixel values for the input image and the pixel values inside the filtering mask, respectively. The final output was filtered by applying the join weights calculated based on the two weights to the mask. In order to verify the performance of the proposed algorithm, we simulated it by comparing it with the existing filter algorithm.

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A Study on Content Classification for Developing Virtual Reality-based Attraction Contents (가상현실 기반의 어트랙션 콘텐츠 개발을 위한 콘텐츠 분류법 연구)

  • Eom, Ire
    • The Journal of the Korea Contents Association
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    • v.19 no.11
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    • pp.499-506
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    • 2019
  • Virtual reality, which is attracting attention due to the 4th Industrial Revolution and commercialization of 5G technology, is expanding its scope from gaming to tourism, leisure, and education, and the VR market is expected to expand continuously. As the VR market scales up in Korea, theme parks combining virtual reality contents are spreading around the city center. Unlike the existing theme parks, VR Theme Park is a small amusement culture space that is organized indoors, and you can enjoy attractions (ride) that can be enjoyed in an amusement park with virtual reality contents. Virtual reality content, which has the same characteristics as a theme park whose purpose is to experience extraordinary experiences, provides high immersion and presence in combination with the physical stimulus of attraction. The virtual reality content combined with the attraction cannot be classified accurately with the existing classification method, so a new classification method is proposed according to the experience type and the installation type. The contents were categorized through the case of the domestic VR theme park, and the planning direction for the creation of the virtual reality attraction contents that was going on was sought.

Design of Management System for Registering Agricultural Machine Using Blockchain (블록체인을 활용한 농업기계 등록 관리 시스템의 설계)

  • Son, Yong-Bum;Kim, Young-Hak
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.18-27
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    • 2019
  • Through the technology of the 4th industrial revolution, agricultural machinery is becoming increasingly intelligent, and the machine is replacing the role of farmer manpower as a whole. However, safety accidents caused by careless use of agricultural machines and theft accidents due to the difficulty of keeping them are increasing every year. Because agricultural machines do not manage the history of events and accidents unlike automobiles, they are often used for crime. There is also no way to cope with the issues if there happens issues on agricultural machines. In this paper, we propose the system based on block chain which can manage the history of the agricultural machinery by registering the chassis number at the same time when purchasing the agricultural machinery. Since this system contains the history of accident and repair information about the owner's agricultural machinery, it is possible to trace back even if a theft occurs. The proposed system also allows buyers to secure transactions by providing reliable data through inquiry of this system when trading in the secondary market in the future.

The Effects of Characteristics of Information Gifted Students on the Selection of Science Gifted Students (정보영재의 특성이 영재학생 선발에 미치는 영향 분석)

  • Kim, Kapsu;Min, Meekyung
    • Journal of The Korean Association of Information Education
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    • v.22 no.3
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    • pp.367-374
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    • 2018
  • In order to cultivate the human resources needed in the 4th industrial revolution era, it is necessary to select the gifted students and educate them systematically. Although excellent gifted students are important in a specific field, more convergent talents in the fields of mathematics, science, and information are required. The purpose of this study is to investigate how evaluation factors reflecting the characteristics of information gifted students affect the selection of science gifted students of a university gifted education center. In the characteristics of information gifted students, the cognitive factors such as Rule creation ability, Reasoning ability, Efficiency ability, Generalization ability, Structuring ability and Abstraction ability were highly correlated in selecting the science gifted students. Correlations in the applicants group of students for science gifted education center are higher than those in the first passers group and higher than those in the final successful candidates group. This means that the factors that shows the characteristics of the information gifted have a great influence on the selection of the science gifted.

A Study on the Autonomy of the Autonomous Weapon Systems (자율 무기체계의 자율성에 대한 연구)

  • Kim, Jong Ryul
    • Convergence Security Journal
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    • v.18 no.2
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    • pp.101-111
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    • 2018
  • The autonomous weapon systems are being developed with a global competition due to the 4th industrial revolution technologies such as artificial intelligence. This theses analyzes on the technologies related to the autonomy of the new weapons, the new changes in war fighting regime that will be brought by such autonomous weapons, the level of autonomy in a autonomous weapon system, and also the definition and functions of the autonomy. The advanced artificial intelligence for the civilian commercial sectors would be similar to the required military autonomous systems. The future war fighting regime would be the war with autonomous weapon systems without any human casualties. The level of autonomy in the future weapons would be fully autonomous without any human supervision or involvement in the decision making processes. The functions of the autonomous weapon would be to sense, to decide, and to act with a full autonomy in order to accomplish desired purposes.

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