• 한국정보통신학회논문지
• /
• 제23권1호
• /
• pp.97-102
• /
• 2019

최근 들어 산업현장에서의 재난 사고는 해마다 증가하고 있는 추세이다. 조선업의 경우 밀폐된 공간이 많기 때문에 작업시 발생하는 각종 유해가스에 대한 이슈와 작업장 구조가 복잡하기 때문에 사고가 발생하였을 경우 격벽으로 인한 통신, 사용자 위치추적의 어려움 등에 대한 문제점이 제기된다. 이러한 상황에서 여러 가지 재해나 재난이 발생할 경우 작업자의 피난이나 구조에 있어 상당한 어려움이 발생한다. 이에 본 논문에서는 밀폐된 공간에서 각종 재해나 재난이 발생할 경우 사고를 사전에 방지하기 위한 통합안전시스템을 제안한다. 제안하는 통합안전시스템은 작업자들에 대한 위치정보의 데이터를 실시간 관리하고 작업장에서 발생하는 가스, 산소, 이산화탄소 등의 수치도 실시간으로 관리가 가능하기 때문에 사고를 미연에 방지할 수 있다.

• 전자통신동향분석
• /
• 제39권4호
• /
• pp.42-53
• /
• 2024

Mathematical modeling is the process of representing physical phenomena using equations, and it often describes various scientific phenomena through differential equations. Numerical analysis, which is capable of approximating solutions to partial differential equations representing physical phenomena, is widely utilized. However, in high-dimensional or nonlinear systems, computational costs can substantially increase, leading to potential numerical instability or convergence issues. Recently, Physics-Informed Neural Networks (PINNs) have emerged as an alternative approach. A PINN leverages physical laws even with limited data to provide highly reliable predictive performance and can address the convergence issues and high computational costs associated with numerical analysis. This paper analyzes the weak signals, research trends, patent trends, and case studies of PINNs. On the basis of this analysis, it proposes directions for the development of PINN techniques in the agricultural field. In particular, the application of PINNs in agriculture is expected to be more effective than in other industries because of their ability to reflect real-time changes in biological processes. While the technology readiness level of PINNs remains low, the potential for model training with minimal data and real-time prediction capabilities suggests that PINNs could replace traditional numerical analysis models. It is anticipated that the research and industrial applications of PINN will develop at an increasing pace while focusing on addressing the complexity of mathematical models in agriculture, mathematical modeling and the application of various biological processes; securing key patents related to PINNs; and standardizing PINN technology in the field of agriculture.

• 한국응용과학기술학회지
• /
• 제41권2호
• /
• pp.413-423
• /
• 2024

8주간 주 2회, 1회 30분 16명의 남자 대학생을 대면 운동 그룹 8명, 실시간 비대면 운동 그룹 8명으로 나누어 운동을 실시하였다. 종속변인으로는 신체조성과 체력을 홈트레이닝 실시 전과 후 총 2번 측정하였다. 자료처리는 운동 방법의 차이와 측정 시기에 따른 신체조성과 체력에 미치는 영향을 알아보기 위해 반복측정 이원배치분산분석(two-way ANOVA with repeated measure)을 실시하였고, 사후분석으로 Bonferoni를 실시하였다. 그룹 간 변화량의 평균 차이를 비교하기 위해 사전-사후 차이의 변화량을 산출한 후 독립표본 t-검정(Independent t-test)을 실시하였다. 모든 통계적 유의수준은 p<.05로 설정했다. 8주간의 홈트레이닝은 대면 운동과 실시간 비대면 운동 방법에 상관없이 남자 대학생의 골격근을 증가시키고 근력, 근지구력, 심폐지구력을 증가시켰다. 또한, 대면·실시간 비대면 운동 방법간의 효과 차이는 나타나지 않았다. 따라서 실시간 비대면은 대면 운동과 마찬가지로 남자 대학생들의 골격근과 체력을 향상시키기에 효과적인 운동 방법이 될 수 있음을 시사한다. 또한, 이동이 불편한 환자들이나 노인들에게 적용될 수 있는 실시간 비대면 운동 프로그램이 검증된다면 대면 운동을 실시하기 어려운 대상에게도 효과적인 방법이 될 수 있을 것으로 사료된다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제11권4호
• /
• pp.286-292
• /
• 2011

Biometrics systems are used in a wide range of areas, including the area of crime prevention, due to their unique characteristics. However, serious problems can occur if biometric information is disclosed to an unauthorized user. To address these issues, this paper proposes a real valued fuzzy vault method, which adopts a real number error correction code to implement a fuzzy vault scheme for protecting fingerprint temples. The proposed method provides the benefit of allowing the private key value to be changed at any time, unlike biometric template such as a fingerprint, which is not easily renewable even if its security has been breached. The validity of the proposed method is verified for fingerprint verification.

• 한국산업융합학회 논문집
• /
• 제23권2_2호
• /
• pp.255-261
• /
• 2020

We consider the problem of autonomously flying a quadcopter in indoor environments. Navigation in indoor settings poses two major issues. First, real time recognition of the marker captured by the camera. Second, The combination of the distributed images is used to determine the position and orientation of the quadcopter in an indoor environment. We autonomously fly a miniature RC quadcopter in small known environments using an on-board camera as the only sensor. We use an algorithm that combines data-driven image classification with image-combine techniques on the images captured by the camera to achieve real 3D localization and navigation.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
• /
• pp.262-269
• /
• 2003

Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involved reducing both production and distribution costs. The purpose of this study is to determine the optimum quantity of production and transportation with minimum cost in the supply chain network. We have presented a mathematical model that deals with real world factors and constructs. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model computational experiments using a commercial genetic algorithm based optimizer. The results show that the real size problems we encountered can be solved In reasonable time

• 한국시뮬레이션학회논문지
• /
• 제12권1호
• /
• pp.59-71
• /
• 2003

Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involves reducing both production and distribution costs. The purpose of this study is to determine the optimum quantity of production and transportation with minimum cost in the supply chain network. We have presented a mathematical model that deals with real world factors and constraints. Considering the complexity of solving such model, we have applied the genetic algorithm approach for solving this model using a commercial genetic algorithm based optimizer. The results for computational experiments show that the real size problems we encountered can be solved in reasonable time.

• 대한안전경영과학회지
• /
• 제22권4호
• /
• pp.45-52
• /
• 2020

Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Network(SCN). One of keys issues in the current SCN research area involves minimizing both production and distribution costs. This study deals with finding an optimal solution for minimizing the total cost of production and distribution problems in supply chain network. First, we presented an integrated mathematical model that satisfies the minimum cost in the supply chain. To solve the presented mathematical model, we used a genetic algorithm with an excellent searching ability for complicated solution space. To represent the given model effectively, the matrix based real-number coding schema is used. The difference rate of the objective function value for the termination condition is applied. Computational experimental results show that the real size problems we encountered can be solved within a reasonable time.

• ETRI Journal
• /
• 제44권2호
• /
• pp.244-259
• /
• 2022

Bicycle- or bike-sharing systems (BSSs) have received increasing attention as a secondary transportation mode due to their advantages, for example, accessibility, prevention of air pollution, and health promotion. However, in BSSs, due to bias in bike demands, the bike rebalancing problem should be solved. Various methods have been proposed to solve this problem; however, it is difficult to apply such methods to small cities because bike demand is sparse, and there are many practical issues to solve. Thus, we propose a demand prediction model using multiple classifiers, time grouping, categorization, weather analysis, and station correlation information. In addition, we analyze real-world relocation data by relocation managers and propose a relocation algorithm based on the analytical results to solve the bike rebalancing problem. The proposed system is compared experimentally with the results obtained by the real relocation managers.

• 해양환경안전학회지
• /
• 제29권7호
• /
• pp.887-892
• /
• 2023

해상교통관제센터에는 RADAR, AIS(Automatic Identification System), 기상센서, VHF(Very High Frequency) 등이 설치되어 운영되고 있으며, 해상교통관제사는 이를 활용하여 관제구역을 통항하는 선박의 동정을 관찰하고 정보를 제공하는 관제 업무를 수행한다. 이들 장비에서 생성되는 각종 관제 데이터는 해상교통 상황을 분석하기 위한 자료로 그 활용 가치가 매우 높지만, 시스템 제조사간 호환성 부족 또는 정책상의 문제로 인해 체계적으로 관리되지 않고 있는 실정이다. 이에 본 연구에서는 해상교통관제센터에서 수집되는 관제 데이터를 효율적으로 수집, 저장, 관리할 수 있는 관제 빅데이터 체계를 개발하였다. 개발된 관제 빅데이터 체계는 체계 개발의 중요한 이슈 중 하나였던 운영 안정성을 확보하기 위해 마이크로서비스 아키텍처를 적용하였으며, 효율적인 실시간 운항 정보의 탐색을 위해 저장소를 이원화하여 체계 성능을 향상시킬 수 있었다. 구현된 체계는 실해역 데이터를 적용한 시범 운영을 통해 성능을 확인하고 추가적인 개선 사항을 파악하였으며, 실제 관제 환경에서의 활용 가능성을 검토하였다.