• Journal of the Korean Society of Marine Environment & Safety
• /
• v.17 no.4
• /
• pp.399-405
• /
• 2011

Recently, the navigation risk is increasing significantly with growth of marine traffic volume and construction of marine facilities, water bridges, port development and marine wind farm etc. To reduce this kinds of risk, Ministry of Land, Transport and Maritime Affairs enacted a new law called MSA(Maritime Safety Audit) as a comprehensive maritime traffic safety management scheme in order to ensure safety improvements from the early planning stage to post managing of the development which affect the maritime traffic environment. MSA as a tool for improving maritime traffic safety is a formal safety assessment in the existing or future ship's fairway by an independent audit team. It examines the potential hazards of maritime traffic safety, if necessary, and is to ensure the implementation of appropriate safety measures. The object of this paper is to comprehensively evaluate the achievements and implementation problems of MSA about the 2 years, to define the fundamental problems of MSA by conceptualizing and analyzing MSA limits. MSA requires further examination about the introduction of screening and scoping in order to increase the efficiency and objectivity. It will be required the measures concerning policies directions as a tool for planning process for project owner. It will lead to right understanding concerning audit scheme and used in various ways such as amendments to related law.

• Proceedings of KOSOMES biannual meeting
• /
• 2009.06a
• /
• pp.79-84
• /
• 2009

Recently, the degree of navigating vessel's risk is increasing significantly by growing of vessel's volume and increasing of marine facilities, marine bridges and port development etc. As a result, Ministry of Land, Transport and Maritime Affairs generalized formal Maritime Safety Audit as a comprehensive maritime traffic safety management system in order to ensure safety improvements from the planing to maintaining of the development which influence to maritime traffic environment. A MSA is a formal safety performance examination of an existing or future fairway by an audit team. It qualitatively estimates and reports on potential risk of Maritime traffic safety and identifies the measure for improving in safety of human life and preservation of environment. This paper introduced the outline of MSA policy as the guideline for making audit reports is on its developing which is mainly processed by Maritime Safety Research Center, KST in cooperation with KMU, MMU and KORDI.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.22 no.6
• /
• pp.197-205
• /
• 2018

Recently, remodeling is increasing due to aging of buildings. Therefore, the importance of quality control of structures has been raised, and interest in safety diagnosis and evaluation of structures has been increasing. In order to accurately diagnose old buildings, a diagnostic evaluation technique is needed to evaluate the defects of structures in advance. In addition, as the safety diagnostic criteria for reconstruction are improved and the weight of structural safety is increased, researches on safety diagnosis techniques of structures that are faster and more reliable are needed. In this study, we tried to estimate the compressive strength by examining the correlation between ultrasonic pulse velocity and compressive strength of a 1 story structure consisting of vertical and horizontal members of reinforced concrete using ultrasonic pulse velocity method, which is one of the nondestructive testing methods. The purpose of this study is to examine the applicability in the field. As a result, the estimated average error rate of the compressive strength of the structure using the ultrasonic pulse velocity method was 28.7%, which confirmed the applicability in the field. However, in order to increase the accuracy of the estimation, the necessity of the reliable diagnostic method using the composite nondestructive testing method was confirmed.

• Korea Science and Art Forum
• /
• v.35
• /
• pp.281-292
• /
• 2018

Crowd funding is also called social funding because of SNS that it helps early start-up founder and makers to raise money for idea product production. Recently, the funding platform has recorded high growth rates. As a result, the government in Korea has introduced various support policies for the crowd funding. The purpose of this study is to develop a diagnostic design guideline for product design oriented makers based on the historical situation. The paper writer applied literature survey and expert interview as research methods. The literature survey focused on internet news and previous research studies. The expert interview was conducted for 10 specialist people and divided for the second time. As a result of the text survey, the current guideline was lacking in design and in detail. Researchers have been informed through previous paper that information transfer text and images are important factors for funding success. In the first interview with seven special participants, we made a draft design guideline for social funding with a two-step process and nine themes. We, research and three professional people having a evaluation experience, conducted verification and supplementation for establishing the design guider with a three-step process and eight themes in the next interview. The design guideline for crowd funding, it can be used by money funding manager apart from design makers. Through the results of this paper, researchers are expected to prevent problems and contribute to healthy crowd funding ecosystem development.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.399-401
• /
• 2022

A definitive diagnosis to classify the breast malignancy status may be achieved by microscopic analysis using surgical open biopsy. However, this procedure requires experts in the specializing of histopathological image analysis directing to time-consuming and high cost. To overcome these issues, deep learning is considered practically efficient to categorize breast cancer into benign and malignant from histopathological images in order to assist pathologists. This study presents a pre-trained convolutional neural network model architecture with a 100% fine-tuning scheme and Adagrad optimizer to classify the breast cancer histopathological images into benign and malignant using a 40× magnification BreaKHis dataset. The pre-trained architecture was constructed using the InceptionResNetV2 model to generate a modified InceptionResNetV2 by substituting the last layer with dense and dropout layers. The results by demonstrating training loss of 0.25%, training accuracy of 99.96%, validation loss of 3.10%, validation accuracy of 99.41%, test loss of 8.46%, and test accuracy of 98.75% indicated that the modified InceptionResNetV2 model is reliable to predict the breast malignancy type from histopathological images. Future works are necessary to focus on k-fold cross-validation, optimizer, model, hyperparameter optimization, and classification on 100×, 200×, and 400× magnification.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.35 no.3
• /
• pp.185-192
• /
• 2015

Since real-time monitoring systems, such as early fault detection, have been very important, an infrared thermography technique was proposed as a new diagnosis method. This study focused on damage detection and temperature characteristic analysis of ball bearings using the non-destructive, infrared thermography method. In this paper, for the reliability assessment, infrared experimental data were compared with finite element analysis (FEA) results from ANSYS. In this investigation, the temperature characteristics of ball bearing were analyzed under various loading conditions. Finally, it was confirmed that the infrared thermography technique was useful for the real-time detection of damage to bearings.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.24 no.2
• /
• pp.136-143
• /
• 2013

In this paper, a monitoring system for telecommunication tower using wireless sensor network is presented. Although safety inspection could be judged by eyesight and calculating original design from now, not only this system can protect perils, estimating data exactly, but also it is effective to management. It is also economic because the system costs cheaper expenses for telecommunication tower of setting it once than for the tower of inspecting its safety regularly. This paper proves that the structure can be managed scientifically and efficiently, and the system contributes not only stabilized telecommunication services for users but reducing damages.

• Journal of the Korean School Mathematics Society
• /
• v.16 no.2
• /
• pp.435-457
• /
• 2013

The purpose of this paper is to discover effective teaching and learning methods for improving low level mathematic matriculants', who passed the early decision program, problem solving abilities by analyzing their error patterns in the special lecture for basic mathematics in P University. In this paper, we examine the matriculants' understanding and errors on the fundamental concepts of function, and continuity and differentiability of function based on the pre-examination. We also measure the their academic achievement in the special lecture for basic mathematics, and analyze the differences of error patterns between pre-test and post-test result on the concepts of continuity and differentiability of function.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.12 no.3
• /
• pp.124-131
• /
• 1998

This paper proposed the alarm processing system to improve the efficiency of monitoring method by applying the neural network and troubleshooting knowledge base for IADAPS(Intelligent Alarm Diagnosis And Processing System) method in an receiving and distributing board of Building complex. This IADAPS is abased on the cumulative generalized delta rule of backpropagation in neural network. It was used to infer the minimum alarms among multi-fired alarms, and the inferred alarm can be displayed maintenance information of facility by using a pre-defined troubleshoot knowledge base. For validating the proposed monitoring method, he method of simulation used to the five case of virtual scenario. As comparison results, a proposed method in this paper could be proved the applied possibility of an neural network and utilized in fields of facilities maintenance, if needed, be operated by non-expertise.

• Proceedings of the KSR Conference
• /
• 2006.11b
• /
• pp.779-785
• /
• 2006

This paper introduces a result of internal signal modeling for a defect diagnosis of the UM-71C track circuit using on HSL. Actually, We fixed a sample area within operating section on HSL and performed the simulations for short circuit current that is reflected characteristic impedance and propagation factor. We compared the measuring data with the result of the simulation. These modeling can be used as the basic data for secure of the safety. Also, It need to make a criteria of analysis for the maintenance through comparison simulation data and inspection data.