• 산업경영시스템학회지
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• 제46권4호
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• pp.238-245
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• 2023

As technologies have been more quickly developed in this 4th Industry Revolution era, their application to defense industry has been also growing. With these much advanced technologies, we attempt to use Manned-Unmanned Teaming systems in various military operations. In this study, we consider the Location-Routing Problem for reconnaissance surveillance missions of the maritime manned-unmanned surface vehicles. As a solution technique, the two-phase method is presented. In the first location phase, the p-median problem is solved to determine which nodes are used as the seeds for the manned vehicles using Lagrangian relaxation with the subgradient method. In the second routing phase, using the results obtained from the location phase, the Vehicle Routing Problems are solved to determine the search routes of the unmanned vehicles by applying the Location Based Heuristic. For three network data sets, computational experiments are conducted to show the performance of the proposed two-phase method.

• 한국융합학회논문지
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• 제8권7호
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• pp.15-21
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• 2017

최근 4차 산업 혁명이 사회적으로 대두되면서 IoT 관련 제품에 대한 사용자들의 관심이 증가하고 있다. IoT 장치에 사용되고 있는 센서의 종류와 기능은 점점 다양화되고 있어 IoT 장치의 상호 인증 기술이 요구되고 있다. 본 논문에서는 서로 다른 종류의 IoT 장치들이 서로 상호 연계하여 원활하게 동작될 수 있도록 파스칼 삼각형 이론을 이용한 효율적인 이중 서명 인증 키 설립 기법을 제안한다. 제안 기법은 IoT 장치간 인증 경로를 2개(주경로와 보조 경로)로 구분하여 IoT 장치의 인증 및 무결성을 보장한다. 또한, 제안 기법은 IoT 장치를 인증할 때 추가적인 암호 알고리즘이 필요하지 않도록 키를 생성하기 때문에 적은 용량을 필요로 하는 IoT 장치에 적합하다. 성능 평가 결과, 제안 기법은 IoT 장치의 지연시간을 기존 기법보다 6.9% 향상되었고, 오버헤드는 기존 기법보다 11.1% 낮은 결과를 얻었다. IoT 장치의 인증 처리율은 기존 기법보다 평균 12.5% 향상되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3482-3497
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• 2021

Artificial intelligence has emerged as the core of the 4th industrial revolution, and large amounts of data processing, such as big data technology and rapid data analysis, are inevitable. The most fundamental and universal data interpretation technique is an analysis of information through regression, which is also the basis of machine learning. Ridge regression is a technique of regression that decreases sensitivity to unique or outlier information. The time-consuming calculation portion of the matrix computation, however, basically includes the introduction of an inverse matrix. As the size of the matrix expands, the matrix solution method becomes a major challenge. In this paper, a new algorithm is introduced to enhance the speed of ridge regression estimator calculation through series expansion and computation recycle without adopting an inverse matrix in the calculation process or other factorization methods. In addition, the performances of the proposed algorithm and the existing algorithm were compared according to the matrix size. Overall, excellent speed-up of the proposed algorithm with good accuracy was demonstrated.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.960-971
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• 2021

As the era of the 4th Industrial Revolution enters, the importance of software safety is increasing, but related systematic educational curriculum and trained professional engineers are insufficient. The purpose of this research is to propose the high priority elements for the software safety education program through needs analysis. For this purpose, 74 candidate elements of software safety education program were derived through contents analysis of literature and nominal group technique (NGT) process with five software safety professionals from various industries in South Korea. Targeting potential education participants including industrial workers and students, an on-line survey was conducted to measure the current and required level of each element. Using descriptive statistics, t-test, Borich needs assessment and Locus for focus model, 16 high priority elements were derived for software safety education program. Based on the results, suggestions were made to develop a more effective education program for software safety education.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.179-180
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• 2018

This study aims to provide a more comfortable environment for the external environment by designing a rotable dwelling that deviates from the conventional fixed residential concept. The round pillars, which are the center of the building, are constructed by placing the CFT (concrete Filled steel Tube) technique in place and assembling modular houses with columns. This study combines existing building techniques. Korea also needs to develop various related studies quickly.

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.116-124
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• 2020

The advantage of the distance learning universities based on the 4th Industrial Revolution is that anyone can conveniently take lectures anytime, anywhere on the web. In addition, research has been actively conducted on the effect of light color and temperature control upon student performance during online classes. However, research on how the conditions of subjects, lighting colors, and music selection improve the degree of a student's concentration during online lectures has not been completed. To solve these problems in this paper, we have developed automatic analysis system SW for the weak subjects of learners by applying intelligent analysis algorithm, have proposed and simulated music therapy and art therapy. Moreover, It proposed in this paper an algorithm for an automatic analysis system, which shows the weak subjects of learners by adopting intelligence analysis algorithms. We also have presented and simulated a music therapy and art therapy algorithms, based on the blended learning, in order to increase students concentration during lecture.

• 한국군사과학기술학회지
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• 제21권2호
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• pp.204-210
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• 2018

As the 4th industrial revolution and artificial intelligence technology develop, it is expected that there will be a revolutionary changes in the security robot. However, artificial intelligence system requires enormous hardwares for tremendous computing loads, and there are many challenges that need to be addressed more technologically. This paper introduces precise tracking control technique of autonomous system that need to move repetitive paths for security purpose. The input feedforward signal is generated by using the inverse based iterative learning control theory for the 2 input 2 output nonminimum-phase system which was difficult to overcome by the conventional feedback control system. The simulation results of the input signal generation and precision tracking of given path corresponding to the repetition rate of extreme, such as bandwidth of the system, shows the efficacy of suggested techniques and possibility to be used in military security purposes.

• 디지털융복합연구
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• 제18권3호
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• pp.349-355
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• 2020

제4차 산업혁명이 대두되며 다양한 산업들의 기술들이 융·복합 되거나 클라우딩 컴퓨팅, 모바일, 빅테이터 등의 기술로 인해 인류의 삶이 물질적이나 정신적으로 크게 변화하고 있다. 다양한 기술과 이에 맞는 새로운 직업의 탄생은 전통금속공예기술에 대한 교육과 직업에 있어 대중의 외면을 가져오고 있다. 이런 변화에 있어 공예교육 또한 현 시대에 맞는 교육방식을 찾고 연구하며, 교육 현장에 적용해 대중의 관심과 부흥을 일으켜야 한다. 이를 위해 새로운 소재 혹은 기술이 도입된 타 산업의 교육현장 사례를 조사하고 전통금속공예기법 교육에 활용하고자 한다. 또한 3D프린팅 기술의 다양한 사례와 특징을 조사하고 시간과 공간, 자원의 제약이 많은 공예기법 교육에 활용하여 전통금속공예기법 교육에 새로운 변화를 주고자 한다.

• 디지털융복합연구
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• 제19권6호
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• pp.239-250
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• 2021

기업이 신기술의 도입을 검토할 때 기술의 이점을 충분히 활용하기 위해서는 해당 기술과 관련한 기술적 특성에 대한 정확한 파악과 선별적인 적용이 중요하다. 본 연구에서는 기업이 블록체인 기술 신규 적용의 효율성을 높이기 위해 상대 중요도가 높은 기술적 특성을 분석하였다. 선행연구를 통해 확인되는 블록체인의 기술적 특성을 시스템 계층구조 관점에서 재분류하고, 기술적 특성의 하위 세부요인을 도출하였다. 그리고 기업 내 전문가와 SI 전문가를 대상으로 실시한 기술적 특성의 상대적 중요도에 대해 설문조사를 AHP(Analytical Hierarchy Process) 기법을 활용해 분석하였다. 분석결과 응답자들은 보안성과 관련한 해킹의 위협에서 데이터 보호를 가장 중요한 요인으로 평가하였다. 그리고 기업 내 전문가와 SI 전문가 간에 기술적 특성에 대한 중요도 및 업종별 전문가 그룹 간의 기술적 특성의 중요도 우선순위 비교결과도 서로 다르게 나타났다. 다가올 4차 산업혁명의 변화에 맞추어 본 연구의 결과는 기업에서 블록체인 기술적용 시에 유용하게 활용될 수 있을 것으로 기대된다. 향후 업종별 블록체인 기술 수용에 필요한 내·외부 요인과 기술도입을 통한 효과에 대한 실증분석도 의미 있는 연구가 될 수 있을 것이다.

• 한국멀티미디어학회논문지
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• 제23권1호
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• pp.31-42
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• 2020

During the 4th Industrial Revolution, service platforms utilizing diverse contents are emerging, and research on recommended systems that can be customized to users to provide quality service is being conducted. hybrid recommendation systems that provide high accuracy recommendations are being researched in various domains, and various filtering techniques, machine learning, and deep learning are being applied to recommended systems. However, in a recommended service environment where data must be analyzed and processed real time, the accuracy of the recommendation is important, but the computational speed is also very important. Due to high level of model complexity, a hybrid recommendation system or a Deep Learning-based recommendation system takes a long time to calculate. In this paper, a Cascade-hybrid recommended algorithm is proposed that can reduce the computational time while maintaining the accuracy of the recommendation. The proposed algorithm was designed to reduce the complexity of the model and minimize the computational speed while processing sequentially, rather than using existing weights or using a hybrid recommendation technique handled in parallel. Therefore, through the algorithms in this paper, contents can be analyzed and recommended effectively and real time through services such as SNS environments or shared economy platforms.