• Journal of Preventive Medicine and Public Health
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• v.28 no.2 s.50
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• pp.373-385
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• 1995

The association between blood lead of children and Intelligent Quotient(I.Q) was investigated in a sample of 100 boys and girls aged $6\sim8$ years from one primary school within an industrial area of Pusan. The trained undergraduates in school of public health administered an 1.0. test one by one. Parents answered a questionnaire on demographic, perinatal and socioeconomic variables. Atomic Absorbtion Spectrophotometer was used to determine blood lead levels. The geometric mean of blood lead value was $7.99{\mu}g/dl$. In total children, there was no significant relationship between blood lead level and I.Q. But in the children who were born of gestational age of less than 38 weeks, children with higher levels of blood lead performed more poorly on I.Q test with correlation coefficient from -0.68 to -0.71. But, the children who were born of gestational age of 38 weeks and more were same as total children. These results suggest that exposure to low levels of lead in the children who were born premature probably may result in impaired intelligent development. But, We think that more profound study should be performed with sufficient numbers of subjects.

• Journal of Society of Preventive Korean Medicine
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• v.14 no.1
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• pp.59-76
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• 2010

Background : The system for collecting and managing the terminologies of Korean oriental medicine is essential to facilitate researches of developing intelligent information architecture based on ontology. Objectives : The purpose of this paper is to develop system for collecting and managing system for terminologies of Korean oriental medicine. Methods : First we defined roles of users used in this system, and define the system workflow based on them. Then we developed web-based collecting and managing system in which multiuser can work simultaneously, and it is compose of relational database system. Results : The terminologies of Korean Oriental Medicine can be efficiently collected, purified, inspected, and utilized by using proposed system. Conclusions : The system, proposed in this paper, can be used the whole field of oriental medicines for basic technology and has great contributions to make intelligent information architecture of oriental medicine based on ontology concept.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.120-126
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• 2007

In this paper, we investigate some of characteristic properties of fuzzy strongly (r, s)-semicontinuous, fuzzy strongly (r, s )-semiopen and fuzzy strongly (r, s )-semiclosed mappings on the intuitionistic fuzzy topological space in \check{S}ostak's$ sense.

• Korean Journal of Acupuncture
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• v.24 no.4
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• pp.69-84
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• 2007

Objectives : Intelligent thermo-acupuncture system (ITA-system) is invented for the convenient operation of thermo-acupuncture therapy. The aim of this study is to investigate the safety of 100 ㎑ electromagnetic field (EMF) made by ITA-system. Methods : We analysed the influence of this EMF on animals. In order to do experiment in the influence of EMF, male ICR mice were exposed to EMF at different distances from the ITA-system. And we examined weight, diet, behavior, organ and hematological changes. Results & Conclusions : According to the animal studies with mice about EMF influence, there was no significant difference between the control group and the exposed groups about them. In conclusion, the safety of 100 ㎑ EMF made from ITA-system through this animal research was checked.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.313-314
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• 1998

An intelligent developer replenish system was developed for automatic film processor. The system detects the gray level of a developed film and determines the amount of the developer to be added to the system. Using the film darkness detection system, it was found that the film darkness is inversely proportional to the amount of light exposure, that the developer retrograde after developing certain number of films without replenishment and the number is dependent upon the parts of the body, and that the developer does not retrograde when 30 ml of developer is added after each chest film processing. The use of this system resulted in a decrease in the amount of developer by 40%.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.562-567
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• 1998

This paper examined the relations among the multidimensional linear interpolation(MDI) and fuzzy reasoning , and neural networks, and showed that an showed that an MDI is a special form of Tsukamoto's fuzzy reasoning and regularization networks in the perspective of fuzzy reasoning and neural networks, respectively. For this purposes, we proposed a special Tsukamoto's membership (STM) systemand triangular basis function (TBF) networks, Also we verified the condition when our proposed TBF becomes a well-known radial basis function (RBF).

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.762-766
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• 1998

Mechanical valve is one of the most widely used implantable artificial organs, Since its failure (mechanical failures and thrombosis to name two representative example) means the death of patient, its reliability is very important and early noninvasive detection is essential requirement . This paper will explain the method to detect the thrombosis formation by spectral analysis and neural network. In order quantitatively to distinguish peak of a normal valve from that of a thrombotic valve, a 3 layer backpropagation neural network, which contains 7,000 input nodes, 20 hidden layer and 1output , was employed. The trained neural network can distinguish normal and thrombotic valve with a probability that is higher than 90% . In conclusion, the acoustical spectrum analysis coupled with a neural network algorithm lent itself to the noninvasive monitoring of implanted mechanical valves. This method will be applied to be applied to the performance evaluation of other implantable rtificial organs.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.322-326
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• 2006

본 논문에서는 내시경 영상에 대해 위암 영역을 자동으로 추출하는 방법을 제안한다. 본 논문에서는 내시경 영상을 획득하는 과정에서 발생하는 조명에 의한 잡음과 굴곡에 의해 발생하는 그림자에 의한 잡음 부분을 해결하기 위해서 HSI의 채도와 밝기 값을 이용하여 잡음 영역을 제거한다. 그리고 헤모글로빈 색소 정보를 나타내는 IHb값을 이용하여 전자 내시경 영상에서 유사한 헤모글로빈 색소 정보를 가지는 영역으로 분할한다. 분할된 영역들 중에서 RGB의 각 채널과 헤모글로빈 색소가 높게 나타나면 후보 영역으로 설정한다. 설정된 후보 영역 중에서 위암 영역의 형태학적인 특징 정보를 이용하여 위암 영역을 추출한다. 실제 전문의가 제공한 20개의 내시경 영상을 대상으로 실험한 결과, 제안된 위암 추출 방법으로 17개가 정확히 추출되었고 3개의 내시경 영상에서는 위암 영역이 정확히 추출되지 않았다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.3
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• pp.209-215
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• 2007

Various kind of ubiquitous healthcare services have been developed and tried in patient care and health care fields. Due to technical restrictions and not enough application practices, the service systems have been developed somewhat in ad hoc way. This paper describes the requirements for ubiquitous healthcare service systems most of which need to have and presents a ubiquitous healthcare service system architecture with which various ubiquitous healthcare services can be developed. It also introduces an application system for ubiquitous benign prostatic hyperplasia (BPH) patient care which has been developed based on the architecture.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.3
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• pp.226-231
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• 2013

In The matching algorithm for automatic packaging of drugs is essential to determine whether the canister can exactly refill the suitable medicine. In this paper, we propose a hierarchical neural network with the upper and lower layers which can perform real-time processing and classification of many types of medicine bottles to prevent accidental medicine disaster. A few number of low-dimensional feature vector are extracted from the label images presenting medicine-bottle information. By using the extracted feature vectors, the lower layer of MLP(Multi-layer Perceptron) neural networks is learned. Then, the output of the learned middle layer of the MLP is used as the input to the upper layer of the MLP learning. The proposed hierarchical neural network shows good classification performance and real- time operation in the test of up to 30 degrees rotated to the left and right images of 100 different medicine bottles.