• 대한산업공학회지
• /
• 제24권3호
• /
• pp.447-455
• /
• 1998

It is important to identify and evaluate poor working postures properly to prevent work-related musculoskeletal disorders. The purpose of this study is to develope a new upper body micropostural classification scheme for analyzing postural stress in industry. Most of the existing postural classification schemes were based either on the literature, or on simple biomechanical principles, or on a subjective ranking system. The scheme suggested in this study was based on perceived joint discomfort measured through experiment, in which nineteen subjects participated and the magnitude estimation method was employed to obtain subjects' joint discomfort. Also, the criteria for evaluating postural stress of working postures were presented for practitioners of health and safety to be able to redesign working methods and workplaces, which was based on maximum holding time by Miedema and other people. It is expected that the scheme developed in this study could be used as a valuable tool when evaluating working postures.

• 반도체디스플레이기술학회지
• /
• 제19권4호
• /
• pp.121-125
• /
• 2020

With miniaturization of semiconductor, the manufacturing process become more complex, and undetected small changes in the state of the equipment have unexpectedly changed the process results. Fault detection classification (FDC) system that conducts more active data analysis is feasible to achieve more precise manufacturing process control with advanced machine learning method. However, applying machine learning, especially in supervised learning criteria, requires an arduous data labeling process for the construction of machine learning data. In this paper, we propose a semi-supervised learning to minimize the data labeling work for the data preprocessing. We employed equipment status variable identification (SVID) data and optical emission spectroscopy data (OES) in silicon etch with SF6/O2/Ar gas mixture, and the result shows as high as 95.2% of labeling accuracy with the suggested semi-supervised learning algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권9호
• /
• pp.2904-2926
• /
• 2022

Currently, diabetes is the most common chronic disease in the world, affecting 23.7% of the population in the Kingdom of Saudi Arabia. Diabetes may be the cause of lower-limb amputations, kidney failure and blindness among adults. Therefore, diagnosing the disease in its early stages is essential in order to save human lives. With the revolution in technology, Artificial Intelligence (AI) could play a central role in the early prediction of diabetes by employing Machine Learning (ML) technology. In this paper, we developed a diagnosis system using machine learning models for the detection of type 2 diabetes among adults, through the adoption of two different diabetes datasets: one for training and the other for the testing, to analyze and enhance the prediction accuracy. This work offers an enhanced classification accuracy as a result of employing several pre-processing methods before applying the ML models. According to the obtained results, the implemented Random Forest (RF) classifier offers the best classification accuracy with a classification score of 98.95%.

• ETRI Journal
• /
• 제35권6호
• /
• pp.1105-1114
• /
• 2013

Owing to the large number of video programs available, a method for accessing preferred videos efficiently through personalized video summaries and clips is needed. The automatic recognition of user states when viewing a video is essential for extracting meaningful video segments. Although there have been many studies on emotion recognition using various user responses, electroencephalogram (EEG)-based research on preference recognition of videos is at its very early stages. This paper proposes classification models based on linear and nonlinear classifiers using EEG features of band power (BP) values and asymmetry scores for four preference classes. As a result, the quadratic-discriminant-analysis-based model using BP features achieves a classification accuracy of 97.39% (${\pm}0.73%$), and the models based on the other nonlinear classifiers using the BP features achieve an accuracy of over 96%, which is superior to that of previous work only for binary preference classification. The result proves that the proposed approach is sufficient for employment in personalized video segmentation with high accuracy and classification power.

• 정보관리학회지
• /
• 제2권2호
• /
• pp.115-149
• /
• 1985

도서관에서 일반적으로 사용되는 분류(分類) 시스템은 도서(圖書) 중심으로 되어 있어, 특수 조직체의 기술((技術) 및 행정문서(行政文書)의 내부정보(內部情報)를 분류하는데는 어려움이 많다. 따라서 각 기업체에서는 조직체의 특성에 맞는 문서정보관리체제(文書情報管理體制)를 구축하고 특정한 코딩시스템이나 화일링 시스템을 개발해서 사용하고 있다. 원자력 발전소의 모든 자재 및 자료는 각기 특정한 코딩시스템으로 관리되고 있는데 시스템이 제각기 서로 다르게 구성되어 있어 상호참조(相互參照) 및 상호협력(相互協力)이 어려운 상태이다. 이 논문(論文)에서는 영광 원자력 발전소를 대상으로 하여 기존의 자재(資材) 및 자료(資料)의 코딩시스템을 모두 조사, 분석하고 모든 자료에 범용적(汎用的)으로 사용할 수 있는 통일된 자료관리 코딩 시스템을 설계한 것으로 일반 분류 시스템 및 색인 시스템을 적용하기가 어려운 특수조직체의 내부정보관리 사례 연구이다. 본 시스템 설계로 자재와 자료간의 상호참조, 업무간의 상호협력, 중앙화일 구성 운영등의 효과를 기대할 수 있다.

• 대한음성학회지:말소리
• /
• 제65호
• /
• pp.125-141
• /
• 2008

In this work, we propose an automatic word spacing system for Korean using conditional random fields (CRFs) with Korean features. We map a word spacing problem into a classification problem in our work. We build a basic system which uses CRFs and Eumjeol bigram. After then, we analyze the result of inner-test. We extend a basic system added by some Korean features which are Josa, Eomi and two head Eumjeols of word extracting from lexicon. From the results of experiment, we can see that the proposed method is better than previous methods. Additionally the proposed method will be able to use mobile and speech applications because of very small size of model.

• 한국측량학회지
• /
• 제27권3호
• /
• pp.331-345
• /
• 2009

본 연구의 목적은 공간데이터 구축공정에 표준으로 적용 가능한 관리방법론을 연구하는데 있다. 우리나라는 아직까지 구축공정 및 품질관리에 대한 체계적인 기준인 정립되지 않은 실정이어서 국가예산이 낭비될 우려의 소지가 있다. 또한 현재 공간데이터 구축과 관련된 법규는 기준이 명확하지 않은 경우가 있어서 공간데이터의 품질에 대한 신뢰성이 부족한 실정이다. 공간데이터의 제작 및 품질검사와 관련이 있는 법규, 국토지리정보원에서 수행한 공간데이터의 품질관련 연구 등 각종 문헌자료, 지방자치단체의 지리정보시스템을 구축한 경험이 있는 주요 업체의 공간데이터 제작공정 및 작업방법에 대하여 조사, 분석하였다. 분석한 내용을 기반으로 GPS에 의한 기준점 측량, 수준측량, 항공사진촬영, 수치지도 제작, 지형도 제작, 수치표고자료 제작, 항공사진 DB 구축, 정사영상지도 제작 등 8개 사업을 대상으로 선정하고 표준화된 관리방법론을 제시하였다.

• 한국국방경영분석학회지
• /
• 제23권2호
• /
• pp.45-71
• /
• 1997

There has been considerable research recently on uncertainty handling in the fields of artificial intelligence and knowledge-based system. Various numerical and non-numerical methods have been proposed for representing and propagating uncertainty in knowledge-based system. The Bayesian method, the Dempster-Shafer's Evidence Theory, the Certainty Factor model and the Fuzzy Set Theory are most frequently appeared in the knowledge-based system. Each of these four methods views uncertainty from a different perspective and propagates it differently. There is no single method which can handle uncertainty properly in all kinds of knowledge-based systems' domain. Therefore a knowledge-based system will work more effectively when the uncertainty handling method in the system fits to the system's environment. This paper proposed a framework for selecting proper uncertainty handling methods in knowledge-based system with respect to characteristics of problem domain and cognitive styles of experts. A schema with strategic/operational and unstructured/structured classification is employed to differenciate domain. And a schema with systematic/intuitive and preceptive/receptive classification is employed to differenciate experts' cognitive style. The characteristics of uncertainty handling methods are compared with characteristics of problem domains and cognitive styles respectively. Then a proper uncertainty handling method is proposed for each category.

• 대한안전경영과학회지
• /
• 제9권2호
• /
• pp.59-69
• /
• 2007

The main objective of this study is to suggest the new sizing system proper to the boys in the high school students by classifying their somatotype for the development of educational environment and uniform. The sample for this work was chosen from data which were collected and measured by Size Korea during two years $(2003\sim2004)$. In order to analyze feature of the somatotype of boys in the high school students, analysis was performed about 479 subjects on 37 body parts such as height (9 parts), width (5 parts), thickness (6 parts), circumference (7 parts), length (8 parts), body weight and $R\ddot{o}hrer$ Index. The result of this study can be utilized in various fields such as design of classroom, student uniforms, facilities and equipments for education at high school and university, etc.

• 디지털콘텐츠학회 논문지
• /
• 제8권4호
• /
• pp.587-592
• /
• 2007

본 논문은 EC_NH의 설계와 구축을 설명한다. EC_NH는 멀티미디어 협동 작업 환경에서 소프트웨어 오류를 감지, 공유, 복구하기에 적합한 시스템이다. 이 시스템에 의해서 오류를 공유할 수 있다. 멀티미디어 공동 작업 환경의 관점에서 오류 공유는 협동 작업에 참가하는 참가자에게 상호작용적으로 오류를 공유한다. 디지털 캐로절은 사용자들에게 미디어 동기화 메카니즘을 통하여 미디어 객체 공유를 가능하게 한다. 본 시스템은 공동 작업에 참여한 사용자들이 다른 참여자들에게 같은 뷰로써 공유된 미디어 또는 오류 객체들을 참조할 수 있도록 구축하였다.