• 방송공학회논문지
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• 제24권3호
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• pp.430-439
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• 2019

CNN (convolutional neural network) 기반의 단일 열화 영상 복원 방법은 우수한 성능을 나타내지만 한가지의 특정 열화를 해결하는 데 맞춤화 되어있다. 본 연구에서는 복합적으로 열화 된 영상 분류 및 복원을 위한 알고리즘을 제시한다. 복합 열화 영상 분류 문제를 해결하기 위해 CNN 기반의 알고리즘인 사전 학습된 Inception-v3 네트워크를 활용하고, 영상 열화 복원을 위해 기존의 CNN 기반의 복원 알고리즘을 사용하여 툴체인을 구성한다. 실험적으로 복합 열화 영상의 복원 순서를 추정하였으며, CNN 기반의 영상 화질 측정 알고리즘의 결과와 비교하였다. 제안하는 알고리즘은 추정된 복원 순서를 바탕으로 구현되어 실험 결과를 통해 복합 열화 문제를 효과적으로 해결할 수 있음을 보인다.

• 정보처리학회논문지D
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• 제10D권1호
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• pp.23-32
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• 2003

대규모 데이터 마이닝 환경에서는 이질적인 데이터베이스 혹은 파일 시스템으로부터 분석 대상 데이터를 수집하는 경우가 일반적이므로, 수집된 데이터가 서로 다른 추상화 수준(abstraction level)으로 표현되기 마련이다, 본 논문에서는 기존의 결정 트리(decision tree)를 서로 다른 추상화 수준으로 표현된 데이터에 적용할 때, 분류상 모순이 일어날 수 있음을 보이고, 그에 대한 해결방안을 제시한다. 제안하는 방법은 데이터 간에 존재하는 일반화/세분화 관련성을 결정 트리의 구축 단계는 물론, 클래스 할당 단계에도 반영하여 데이터간의 의미적 연관성을 효과적으로 활용할 수 있도록 한다. 아울러 실제 데이터에 기반을 둔 실험을 통해, 제안한 방법이 기존 방법보다 분류 오류율을 현저히 줄일 수 있음을 보인다.

• 대한조선학회논문집
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• 제59권6호
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• pp.432-438
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• 2022

This study focuses on improving quality management system of naval ships to enhance safety. Recently, there were problems caused by the lack of quality management system when building Korea naval ships. Foreign naval ships are designed and built through certification by professional organizations in the commercial sector to reduce budget and enhance ship safety. Merchant ships are designed, built, operated and maintained by the organizations in accordance with the Ship Safety Act. When naval ships are exported, the ordering country requires the certification from the international classification to ensure the safety and reliability of ships. Through this study, as a method of improving the quality management system of naval ships, design verification, equipment certification and construction survey using expertise of the organizations are proposed when designing and building the naval ships.

• 한국콘텐츠학회논문지
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• 제2권4호
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• pp.76-84
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• 2002

The conventional database evaluation method is carried out by the way in which the person in charge of each specialty database(DB manager) composes the evaluation sheets for corretionㆍrevision on the already-constructed database in a manual method and carries out the measurement and re-education of DB workers based upon it. As a result, that way consumes much time on career information and measurement works about DB workers, causing low time and cost efficiency and lack of systematic management of DB workers, resulting in becoming the hindrance factor of databases quality improvement. This research provides on-line, red-time results of measurements about the efficiency of DB production and DB workers by combining the static measurement with dynamic measurement by DB manager, both of which utilize the System. Therefore, the DB manager can contribute to the improvement of DB quality by determining the continuation of DB production by DB workers or carrying out the re-education of DB workers without being affected by time or spacial constraints.

• 품질경영학회지
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• 제33권3호
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• pp.71-90
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• 2005

New high-speed rail service, the Korea Train Express(KTX), has been beginning service in Korea. We measured the service quality of the Korea Train Express and comparatively analyzed the service quality of domestic flight and express buses which are means of long distance transportation. Furthermore, by using the Kano model, the perception level of the service of customers is not only segmented in groups but also switching barriers are derived. As a result, the customers by group have a difference in the level of their perception. While in both high-speed bullet train service and flights dimensions significantly affect the customer satisfaction and retention excluding a responsiveness dimension, in the Train Express four dimensions(Reliability, Responsiveness, Assurance, Tangibles) with the exception of Empathy which significantly affect the customer satisfaction and retention.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1227-1229
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• 2003

Kojima Lake in Okayama prefecture is a freshing reservoir constructed adjacent to the oldest reclaimed land in Japan. This lake has a serious water quality problem because two urban rivers are flowing into it. In the present study, unsupervised classification was performed at intervals of several years using Landsat MSS data in the past 15 years. After geometric correction of these data, MSS data corresponding geographically to the field observation data were extracted and subjected to the multivariate analysis. Water quality distribution in the lake was estimated using the regression equation obtained as a result. In addition, two - dimensional and three-dimensional numerical simulations were performed and compared with the distribution obtained from the satellite images. Behavior of the reservoir flows is complicated and water quality distribution varies greatly with the flows. Here, I report the results of analysis on three factors, field observation, numerical simulation and satellite images.

• 품질경영학회지
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• 제29권2호
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• pp.104-119
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• 2001

Brainstorming is one of the most well-known and frequently-used creativity techniques. Although the original brainstorming has several merits, it also has some drawbacks in its applications. Thus, lots of its variants have been introduced. Reverse Brainstorming, Cordon Method, Phillips 66, Brainwriting, 6-3-5 Brainwriting, Crawford Slip Writing, Nominal Group Technique, KJ Method are some examples. These techniques are classified into some categories, and their main characteristics are examined in this paper. Guidelines for applying the techniques are also provided.

• 한국안전학회지
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• 제23권1호
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• pp.57-65
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• 2008

The disaster damage can be reduced not only by quick response to its scene, but also by right resource allocation to the right places. The role of information quality on disaster resource has been considered to be an important factor for disaster management. The aim of this research is to investigate and explain the relationship between information quality and performance on disaster resource management. The information quality control for the disaster response operator is central to deliver right information to right people among different government levels such as local, state, and federal government.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.63-69
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• 1999

The purpose of this study is to develop Water Quality Management System(WQMS), which performs calculating pollutant discharge and forecasting water quality with water pollution model. Operational water quality management requires not only controlling pollutants but acquiring and managing exact information. A GIS software, ArcView was used to enter or edit geographic data and attribute data, and MapObject was used to customize the user interface. PCI, a remote sensing software, was used for deriving land cover classification from 20 m resolution SPOT data by image processing. WQMS has two subsystems, Database Subsystem and Modelling subsystem. Database subsystem consisted of watershed data from digital map, remote sensing data, government reports, census data and so on. Modelling subsystem consisted of NSPLM(NonStorm Pollutant Load Model)-SPLM(Storm Pollutant Load Model). It calculates the amount of pollutant and predicts water quality. This two subsystem was connected through graphic display module. This system has been calibrated and verified by applying to Mokhyun stream watershed.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 춘계학술대회논문집
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• pp.712-717
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• 2004

Recently, the concern for the environmental noise has increased due to the growing of the living standard. The environmental noise regulations based on the equivalent noise level are widely used. However, the noise level, which Is based mainly on the magnitude with A-weighting, the important characteristics of noises in frequency and time domains and the impulsive nature cannot be assessed properly. These can have substantial effects on how human respond to noise. Therefore, the noise evaluation methodology based on the sound quality rather than the equivalent noise level can be more suitable to represent human response to the environmental noise. This paper describes the study on environmental noise quality analysis for various noises. A cluster analysis was carried out and the noises were classified into several clusters using the values of sound quality metrics. The classification was confirmed by comparing time and frequency characteristics of the noises. And then the result of Jury testing was analysis.