• 서비스연구
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• 제3권2호
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• pp.53-60
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• 2013

데이터로부터 의미있는 형태의 정보를 얻기 위한 여러 가지 기법들이 개발되어 왔지만, 최근 들어 가장 각광받는 분야 중 하나는 패턴인식과 기계학습 방법이다. 기존의 학습 알고리즘은 대부분 범주 형 속성에 기반 한 규칙 또는 의사 결정 모델을 생성한다. 그런데, 실세계의 데이터는 보통 범주 형 속성 외에도 수치 값을 갖는 속성을 포함하고, 또 많은 경우에 있어 수치 형 속성으로만 구성되기도 한다. 따라서 이러한 경우, 데이터를 학습에 사용하기 위해서는 수치형 속성에 대한 적절한 처리 과정이 필요하다. 본 논문에서는, 수치형 속성의 도메인을 여러 개의 분절된 부분으로 나누어 학습 알고리즘에 사용하는 방법인 이산화 기법을 설명하고 또한 데이터마이닝의 기법으로 사용되는 클러스터링(Clustering)을 사용한다. 클러스터란 대량의 데이터베이스로부터 유사한 레코드 특성을 지닌 작은 그룹으로 여러 개를 분할하는 것으로 패턴 공간에 주어진 유한 개의 패턴들이 서로 가깝게 모여서 무리를 이루고 있는 패턴 집합이다. 그 집합들 중에서 특정한 카테고리를 지정하지 않고 주어진 데이터들에서 어떤 패턴을 추출하여, 비슷한 데이터들을 묶어서 데이터를 분류하는 기법인 클러스터링에 대해 실험한다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.111-118
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• 2016

Artificial intelligence (AI) is making computer systems intelligent to do right thing. The AI is used today in a variety of fields, such as journalism, medical, industry as well as entertainment. The impact of AI is becoming larger day after day. In general, the AI system has to lead the optimal decision under uncertainty. But it is difficult for the AI system can derive the best conclusion. In addition, we have a trouble to represent the intelligent capacity of AI in numeric values. Statistics has the ability to quantify the uncertainty by two approaches of frequentist and Bayesian. So in this paper, we propose a methodology of the connection between statistics and AI efficiently. We compute a fixed value for estimating the population parameter using the frequentist learning. Also we find a probability distribution to estimate the parameter of conceptual population using Bayesian learning. To show how our proposed research could be applied to practical domain, we collect the patent big data related to Apple company, and we make the AI more intelligent to understand Apple's technology.

• Journal of Mechanical Science and Technology
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• 제16권12호
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• pp.1719-1724
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• 2002

A previously designed capillary viscometer with measuring differential pressure was modified to measure the viscosity of non-Newtonian fluids including unadulterated blood continuously over numerous shear rates in a single measurement. Because of unavoidable experimental noise and a limited number of data, the previous capillary viscometer experienced an inaccuracy and could not directly determine a viscosity without an iterative calculation. However, in the present measurement there are numerous data available near the point of interest so that the numeric value of the derivative, d(In Q)/d(In Q$\sub$w/), is no longer sensitive to the method of differentiation. In addition, relatively low and wide shear rate viscosity measurements were possible because of the present precision pressure-scanning method with respect to time. For aqueous polymer solutions, excellent agreement was found between the results from the pressure-scanning capillary viscometer and those from a commercially available rotating viscometer. In addition, the pressure-scanning capillary viscometer measured the viscosity of unadulterated whole blood without adding any anticoagulants.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.131-132
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• 2008

It is necessary to develop a high-speed wireless transmission system, which is able to send medical informations to the emergency medical center during emergency patient transportation. In this research, a system which transmits patient’s vital signs and a real-time audio/video contents of the event has been designed, developed, and the suitability of the system has been verified. Test results indicate that the system is capable of transmitting vital signal data, including 17 numeric data, 12 waveforms and 113 events, reading the affected part by forwarding a $320{\times}240$ pixel image at 2fps. Also, the full-duplex voice transmission of the system at 8bit/64kbps is enough to make stable communication between emergency medical technicians and hospital professionals possible. After numerous hours of driving, the packet loss of patient vital signs is 0.013%.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 추계학술대회 논문집
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• pp.123-126
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• 2000

An elevator system which is a essential equipment for a vertical movement of object, as a property of building, have been drove by various expenditure and purpose. Since developing electrical control technology, control systems are highly developed. An elevator equipment is expended to wide, but a data accuracy acquisition technique and safety predict technique for securing system safety is still basic level. So, objective verification for elevator confidence condition is required absolutely accuracy measurement technique. Therefore, this study is accomplished in order to conquer a method of depending on sense of a manager with a simple numeric measurement data, and construct a logical, analytical foresight system for more efficient elevator management system.

• 인터넷정보학회논문지
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• 제18권5호
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• pp.55-60
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• 2017

The pulmonary function test (PFT) is an essential data source for evaluating the effect of drugs on the lungs or the status of lung function. However, the numeric values of PFT cannot be easily used for clinical studies without labor-intensive manual efforts, because PFTs are usually recorded as image files. This study was aimed at constructing a de-identified, open-access PFT database with various clinical information. For constructing the PFT database, optical character recognition (OCR), regular expression, and the parsing technique were used to extract alphanumeric data from the PFT images in a Korean tertiary teaching hospital. This longitudinal observational database contains 413,000 measurements of PFT from 183,000 patients.

• International Journal of Control, Automation, and Systems
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• 제3권1호
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• pp.15-31
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• 2005

Nowadays, the road safety is an important research field. One of the principal research topics in this field is the vehicle localization in the road network. This article presents an approach of multi sensor fusion able to locate a vehicle with a decimeter precision. The different informations used in this method come from the following sensors: a low cost GPS, a numeric camera, an odometer and a steer angle sensor. Taking into account a complete model of errors on GPS data (bias on position and nonwhite errors) as well as the data provided by an original approach coupling a vision algorithm with a precise numerical map allow us to get this precision.

• 한국안전학회지
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• 제8권4호
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• pp.189-193
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• 1993

Elimination of dangerous points is the most effective method for safety in mechanical equipments. The next effective method is recognized as isolation and/or safe-guarding of dangerous spots from human beings. With progress of mechanical automation technique such as industrial robots, the need for safe-guard-ins is now being enlarged. It is needless to say that when a machine-guard is designed and installed, a comprechensive understanding of human movement is indispensable. But in this country, there is no scientific for those thems, and no one verifield whether it is valid to apply general guideline such as OSHA's to Korean or not. Further, basic anthropometric items for safety reach standards are neither availble nor included in nation-wide anthropometry project. In this research, human anthropometry data of Korean youngsters are analyzed for safety barrier and safety slit width, and compared with guidelines of other countries-Germany, United Kingdom, Japan, and USA. Though they are standards for safety, since they are based upon their own peoples' data, some of them especially foot reach are not not applicable in this country. It should be notified that careful application of numeric value is very important.

• 정보보호학회논문지
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• 제26권6호
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• pp.1593-1603
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• 2016

스마트그리드 환경에서는 기존 전력망과 정보통신기술이 접목됨에 따라 다양한 보안 위협 요소가 존재한다. 특히, 스마트 미터링 데이터는 사용자의 생활 패턴, 사용 기기 등 다양한 정보를 노출하며, 심각한 개인정보 침해로 이어질 수 있으므로 미터링 데이터에 적합한 비식별화 알고리즘이 필요한 상황이다. 따라서 본 논문에서는 미터링 데이터에 대한 새로운 비식별화 방안을 제안하였다. 제안한 방법은 시간정보와 수치정보를 각각 비식별화 데이터로 처리하여 해당 데이터만으로는 패턴 정보를 분석할 수 없도록 하였다. 또한, 통계처리 및 가용성을 위하여 비식별화된 상태에서도 데이터베이스에서 직접 범위검색, 집계처리 등의 질의가 가능하다는 장점을 가진다.

• 한국안전학회지
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• 제17권4호
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• pp.19-24
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• 2002

User-friendly-web-based database system for searching creep property data was developed. This system includes about 38000 creep data for 270 different materials including low carbon steel, stainless steel and alloy steel. Data on creep rupture, creep deformation, creep crack growth and creeping materials can be searched through this system. Retrieved data is displayed in numeric form and also presented in graphical form for visualizing the data. Furthermore, the creep rupture data is designed to be fitted to a regression equation of logarithmic stress using time-temperature parameter(TTP). The degree of the regression equation, orthogonal polynomials, was determined using analysis of variance.