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김인환,허남수 진주산업대학교 2001 산업과학기술연구소보 Vol.- No.8
This paper presents a direct adaptive fuzzy control algorithm in order for the Duffing forced-oscillation system to track a reference wave trajectory. The direct adaptive fuzzy controller does guarantee the global stability of the resulting closed loop system in the sense that all signals involved are uniformly bounded. The effectiveness of the proposed adaptive control scheme is assured through simulations.
김인환,정광보,장승현 대구대학교 기초과학연구소 2000 基礎科學硏究 Vol.17 No.1
New four ferrocene crown ethers( 1-4 ) were synthesized. N-(4'-benzo-crown ethers) -ferroceneimine 1, 2 were prepared by reaction of 4'-aminobenzo-crown ethers and ferrocenecarboxaldehyde. N-(methylene-crown ethers)-ferrocenceimine 3, 4 were made by the reaction of 2'-(aminomethyl)-crown ethers and ferrocenecarboxaldehyde, respectively.
김인환,김상태 대구대학교 기초과학연구소 1998 基礎科學硏究 Vol.15 No.1
The simultaneous enhancement of separation selectivity with elution strength in micellar liquid chromatography(MLC) is applied to the separation of a mixture of phenols. It was found that better separation of a mixture of phenols can be achived in shorter analysis times with a few initial experiments using hybrid eluents of water-organic solvent-micelles. Although it is limited, a regular change in retention behavior of phenols is observed with the variation of the surfactant concentration and the concentration of organic modifier, which enables a sucessful prediction of retention times. Consequently interpretative optimization such as the iterative regression method is applicable.
장내 기생 원충류의 진단법에 관한 비교 연구 : By Lugol's staining and Trichrome staining method
김인환 제주한라대학 2000 論文集 Vol.24 No.-
The present study was undertaken for the first time in Korea in order to elucidate the infection status of intestinal protozoa by the trichrome staining method after preserving the specimen in a fixative solution. A study of the intestinal protozoa detection rate, the sensitivity and the predictive value using two staining methods which were then compared. The first method was trichrome staining. The second was Lugol’s iodine method used following formaline-ether concentration(MGL), a most widely used protozoa examination. During the period from 1998 to 1999, a total 350 samples from patients of B hospital were collection and examined The results of the study are summarized as follows: 1)The infection rate 350 patients by intestinal protozoa was 15.4% using the trichrome staining method 2)For species of protozoan trophozoites and cysts were detected and the infection rate of each intestinal protozoa was 3.4% for E.histolytica, 6.9% for E. coli, 4.0% for Endolimax nana, and 1.1% Giardia lambria 3)High infection rates were shown in the following age groups for the specified protozoa: Entamoeba coli in the under 10 age group and above 51-60 age group. 4)The detection rate of intestinal protozoa was 4.9% by Lugol’s method compared with 13.4% by trichrome staining 5)The morphology of intestinal protozoa was 17 cases cyst only by Lugol’s method and 9 cases trophozoit,, 31 cases cyst and 7 case cyst + trophozoite by trichrome staining So we concluded that the trichrome staining methods was the most reliable method of examination of intestinal protozoa.
VANET 환경을 위한 우선순위 기반 클러스터링 알고리즘
김인환 한국콘텐츠학회 2020 한국콘텐츠학회논문지 Vol.20 No.8
VANET (Vehicular Ad Hoc Networks) is a network between vehicles and between vehicles and infrastructure. VANET-specific characteristics such as high mobility, movement limitation, and signal interference by obstacles make it difficult to provide stable VANET services. To solve this problem, this paper proposes a vehicle type-based priority clustering method that improves the existing bus-based clustering. The proposed algorithm constructs a cluster by evaluating the priority, link quality, and connectivity based on the vehicle type, expected communication lifetime, and link degree of neighbor nodes. It tries to simplify the process of selecting a cluster head and increase cluster coverage by utilizing a predetermined priority based on the type of vehicle. The proposed algorithm is expected to become the basis for activating various services by contributing to providing stable services in a connected car environment. VANET (Vehicular Ad Hoc Networks)은 차량 간, 차량과 인프라 간의 네트워크이다. 높은 이동성, 이동 제한, 장애물에 의한 신호 방해와 같은 VANET 고유의 특성은 안정적인 VANET 서비스 제공을 어렵게 한다. 이를 해결하기 위해, 본 논문에서는 기존 버스 기반 클러스터링을 개선한, 차량 종류 기반 우선순위 클러스터 방법을 제시한다. 제안 알고리즘은 차량 종류, 예상 통신 수명, 주변 노드 링크 차수를 바탕으로 우선순위, 링크 품질, 연결성을 평가해 클러스터를 구성한다. 차량의 종류를 바탕으로 미리 결정된 우선순위를 활용함으로써 클러스터 헤드 선택을 단순화하고 클러스터 커버리지를 높이고자 한다. 제안 알고리즘은 커넥티드카 환경에서 안정적인 서비스를 제공하는데 기여함으로써 다양한 서비스 활성화의 기반이 될 것으로 기대된다.