• Journal of the Korea Institute of Building Construction
• /
• v.21 no.5
• /
• pp.397-408
• /
• 2021

The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.18 no.3
• /
• pp.291-302
• /
• 2005

Due to the importance of the parameter in structural response, the uncertain elastic modulus was located at the center of stochastic analysis, where the response variability caused by the uncertain system parameters is pursued. However when we analyze the so-called stochastic systems, as many parameters as possible must be included in the analysis if we want to obtain the response variability that can reach a true one, even in an approximate sense. In this paper, a formulation to determine the statistical behavior of in-plane structures due to multiple uncertain material parameters, i.e., elastic modulus and Poisson's ratio, is suggested. To this end, the polynomial expansion on the coefficients of constitutive matrix is employed. In constructing the modified auto-and cross-correlation functions, use is made of the general equation for n-th moment. For the computational purpose, the infinite series of stochastic sub-stiffness matrices is truncated preserving required accuracy. To demons4rate the validity of the proposed formulation, an exemplary example is analyzed and the results are compared with those obtained by means of classical Monte Carlo simulation, which is based on the local averaging scheme.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.5
• /
• pp.1116-1125
• /
• 2023

Zinc oxide film is a transparent conductive material and is used in optoelectronic devices in various fields. Therefore, characterization of the zinc oxide film will play a very important role in improving the performance of optoelectronic devices. Here, we will evaluate the morphological and structural characteristics of such a zinc oxide film based on the solution process. Specifically, the sol-gel method will be repeatedly performed to observe the change in material properties of the zinc oxide film according to the number of times of spin-coating. It was confirmed that crystallization proceeded as a result of performing the sol-gel method repetitively 5 times under constant solution conditions. At 7 times or more, the element composition and crystallinity tended to converge to a specific value. The average crystal size of the final zinc oxide film was calculated to be about 10.7 nm. In this study, the number of processes showing optimal crystallization was 7 times. The results and methodology of this study can be applied while varying various solution process variables and are expected to contribute to establishing optimal process conditions.

• The Korean Journal of Applied Statistics
• /
• v.10 no.2
• /
• pp.339-352
• /
• 1997

Chi-square test based on large sample theory is inappropriate for testing the row homogeneity in two-way contingency table with several sparse cells. For that case, exact testing methods has been developed in the literature and implemented in StatXact(1991). However, considerable computing time is inevitable for moderate size tables. So, Monte Carlo approximation is recommended frequently. In this study, we propose a simple algorithm for generating two-way random tables with fixed row and column margins for small sample chi-square test. Also, we develop “Turkey-type” method for multiple between-row comparisons.

• Proceedings of the KIEE Conference
• /
• 2007.11b
• /
• pp.279-281
• /
• 2007

본 논문에서는 계층적 SVM을 이용한 전력용 변압기의 고장진단 기법을 제안한다. 제안된 기법은 전처리 과정, 정상/고장판별 부, 고장원인판별부, 열화추이분석부로 구성된다. 제안한 고장진단과정을 보면, 전처리부에서는 DGA에 의해 얻어진 가스 데이터의 특징벡터를 산출한다. 그 다음단계로 정상/고장 판별부에서는 얻어진 특징벡터를 이용하여 SVM에 의해 정상/고장 여부를 진단한다. 고장원인 판별부에서는 진단하고자 하는 변압기가 고장으로 판정이 난 경우에 다중-클래스 SVM에 의해 고장원인을 판정한다. 또한 정상/고장판별에서 정상이라 판정할 지라도 열화추이분석부에서 FCM에 의해 구축된 고장모델과 정상데이터간의 거리척도를 이용하여 고장추이론 분서한다. 제안된 방법의 유용성을 보이기 위한 실험결과에서 기존의 방법들에 비해서 향상된 진단결과를 보임을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.05c
• /
• pp.1673-1676
• /
• 2003

최근 소프트웨어 개발 및 운영 환경은 C/S, 분산환경, 다중 플랫폼, 다양한 방법론 등으로 매우 복잡해지고 있으며 이러한 환경에서 만들어지는 모든 리소스들을 효율적으로 관리한다는 것은 쉽지 않은 일이다. 이에 따라 최근 몇 년 동안 국내의 개발환경에 효과적으로 적용할 수 있는 소프트웨어 형상관리(SCM: Software Configuration Management)시스템들이 개발되고 있다. 그러나 지금까지의 형상관리시스템들은 버전관리, Build 관리, 작업공간관리, 프로세스관리들에 국한되어 있다. 본 논문에서는 컴포넌트의 형상관리에 대한 방법을 제시하고 있다. 먼저, 컴포넌트의 정보를 리파지토리에 저장하여 관리한다 리파지토리에 저장된 정보를 이용하여 컴포넌트의 버전, 크기, 개발환경, 데이터베이스, 만든 날짜, 수정날짜, 엑세스한 날짜들을 파악할 수 있다. 또한 컴포넌트가 실행 될 때 연동되어 사용되는 컴포넌트 객체들을 파악할 수 있으며, 그 access 빈도수를 도표화하여 개발자나 관리자가 모니터링이 가능하도록 지원한다.

• Journal of KIISE:Computing Practices and Letters
• /
• v.8 no.2
• /
• pp.174-182
• /
• 2002

The object-oriented design methods and their CASE tools are widely used in practice by many real-time software developers. However, object-oriented CASE tools require an additional step of identifying tasks from a given design model. Unfortunately, it is difficult to automate this step for a couple of reasons: (1) there are inherent discrepancies between objects and tasks; and (2) it is hard to derive tasks while maximizing real-time schedulability since this problem makes a non-trivial optimization problem. As a result, in practical object-oriented CASE tools, task identification is usually performed in an ad-hoc manner using hints provided by human designers. In this paper, we present a systematic, schedulability-aware approach that can help mapping real-time object-oriented models to multi-threaded implementations. In our approach, a task contains a group of mutually exclusive transactions that may possess different periods and deadline. For this new task model, we provide a new schedulability analysis algorithm. We also show how the run-time system is implemented and how executable code is generated in our frame work. We have performed a case study. It shows the difficulty of task derivation problem and the utility of the automated synthesis of implementations as well as the Inappropriateness of the single-threaded implementations.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.34 no.8
• /
• pp.989-996
• /
• 2010

Statistical regression and/or interpolation models have been used for data analysis and response prediction using the results of the physical experiments and/or computer simulations in structural engineering fields. These models have been employed during the last decade to develop a variety of design methodologies. However, these models only handled responses with respect to space variables such as size and shape of structures and cannot handle time-variant dynamic responses, i.e. response varying with time. In this research, statistical space-time metamodels based on multiple response approach that can handle responses with respect to both space variables and a time variable are proposed. Regression and interpolation models such as the response surface model (RSM) and kriging model were developed for handling time-variant dynamic responses of structural engineering. We evaluate the accuracies of the responses predicted by the two statistical space-time metamodels by comparing them with the responses obtained by the physical experiments and/or computer simulations.

• Journal of Digital Convergence
• /
• v.12 no.11
• /
• pp.357-364
• /
• 2014

AR contents, if markers to be tracked move fast, show flickering while updating images captured from cameras. Conventional methods employing image based markers and SLAM algorithms for tracking objects have the problem that they do not allow more than 2 objects to be tracked simultaneously and interacted with each other in the same camera scene. In this paper, an improved SLAM type algorithm for tracking dynamic objects is proposed and investigated to solve the problem described above. To this end, method using 2 virtual cameras for one physical camera is adopted, which makes the tracked 2 objects interacted with each other. This becomes possible because 2 objects are perceived separately by single physical camera. Mobile robots used as dynamic objects are synchronized with virtual robots in the well-designed contents, proving usefulness of applying the result of individual tracking for multiple moving objects to augmented visualization of objects.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.21 no.4
• /
• pp.391-399
• /
• 2008

In this paper, we further generalize the work of Lin and Abel to the case of the first and the second order derivatives of energy release rates for two-dimensional, multiply cracked systems. The direct integral expressions are presented for the energy release rates and their first and second order derivatives. The salient feature of this numerical method is that the energy release rates and their first and second order derivatives can be computed in a single analysis. It is demonstrated through a set of examples that the proposed method gives expectedly decreasing, but acceptably accurate results for the energy release rates and their first and second order derivatives. The computed errors were approximately 0.5% for the energy release rates, $3\sim5%$ for their first order derivatives and $10\sim20%$ for their second order derivatives for the mesh densities used in the examples. Potential applications of the present method include a universal size effect model and a probabilistic fracture analysis of cracked structures.