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      • 3kW 태양광발전시스템의 실증시험(Ⅰ)

        박정민,조금배,백형래,최창주 조선대학교 에너지.자원신기술연구소 2004 에너지·자원신기술연구소 논문지 Vol.26 No.1

        Consider the optimal design for PV system, it is apply to 3㎾ interconnected electric power PV system, that is a point of reference for 3㎾ PV the spread residential section system. Through the driving various practical system, we look into that fbr efficiency of generation and stability of interconnected system. Using obtained data acquisition, It can be suggest that installation and management for system parameter to optimal design maximum generation electric power. PV system have some losses that are variation radiation, shadow, change temperature, unbalanced grid connection, serial circuit loss, MPP deference loss, PCS loss and so forth. Using obtained various performance characteristic result, we can make database in the future, through the this study, we can get the reliance and have regard to spread PV system.

      • Backpropagation 학습알고리즘을 이용한 형상검출

        박경우,조정래,이기준 광주보건대학 1997 論文集 Vol.22 No.-

        The Backpropagation learning method is composed of input layer, Middle layer, and Output layer as a Hierarchical Network. Because we can settle Weight of Middle layer using difference which is output value of Output layer and Error value, in proportion to the times of learning, we can obtain a good quality of output layer.

      • McCoy 세포에서 Chlamydia trachomatis의 병원성 인자에 관한 연구

        강정숙,최지영,차영주,김영주,김덕례,여명구,박열 조선대학교 생명과학연구소 1998 생명과학 연구 Vol.6 No.-

        본 연구는 병원성 세균인 Chlamydia trachomatis(C. trachomatis)가 숙주세포에침습시 C. trachomatis의 병원성 인자와 C. trachomatis와 상호작용하는 숙주 세포막의 인자를 규명함으로써 숙주세포에 대한 감염율을 향상시켜 보다 향상된 진단 방법을 개발하기 위하여 수행하였다. C. trachomatis로 감염된 세포에서 기본소체의 막 단백질을 분리한 결과 각 혈청형의 39 kDa과 42 kDa에서 major outer membranes(MOMPs)이 관찰되었으며, 혈청형 E와 G의 MOMPs는 42.5 kDa으로 동일하였지만 혈청형 F, H, I, 그리고 K의 MOMPs는 각각 다르게 관찰되었다. C. trachomatis가 숙주세포로 침습시 관련된 병원성 인자에 대하여 조사하고자 단층세포로 배양된 배양용기에 C. trachomatis를 24, 48 그리고 73시간대별로 접종시켜 관찰한 결과 72시간의 MOMPs의 양이 가장 많이 증가하였으며 이 결과로 MOMPS이 C. trachomatis 병원성에 중요한 작용을 함을 확인할 수 있었다. C. trachomatis가 침습시 숙주세포의 막 단백질 변화양상을 관찰하기 위해 정상세포와 C. trachomatis로 1, 2, 3 그리고 4시간대별로 접종 시간을 달리한 숙주세포의 막 단백질을 분리한 결과 42 kDa의 단백질 양이 Chlamydia에 감염된 세포 내에서 증가됨을 관찰할 수 있었다. 이로 42 kDa의 막 단백질이 침습시 숙주세포 표면에 대한 수용체로서 작용함을 알 수 있었다. The present study was performed to analyze the pathogenic factors involved in the invasion process of Chlamydia trachomatis(C. trachomatis) into McCoy cells. In this study, elementary bodies(EBs) of C. trachomatis serotypes(E, F, G, H, I, K and LGV) could be isolated by the method of Percoll density gradient centrifugation and the pathogens of serotypes were also compared from whole-cell lysates by using sodium dodecyl sulfate-polyacrylamide gel elelectrophoresis. All chlamydial serotypes showed a single predominant protein ranging from 39 to 42 kDa. The major outer membrane proteins(MOMPs) of the E and G serotypes had an identical molecular weight of 42.5 kDa. In contrast, the MOMPs of the F, H, I and K serotypes were showed different molecular weights of MOMPs. By immunoblotting with anti-MOMP antibody it was revealed that the quantify of MOMPs was time-dependently increased when McCoy cells were infected with Chlamydia for 24, 48 and 72 hr. These results indicated that MOMPs are closely related to chlamydial infection into the host cell.

      • ABR 트래픽에 대한 피드백제어 모델

        김희수,박경우,조정래,오창윤 광주보건대학 2000 論文集 Vol.25 No.-

        The Asynchornous transfer mode (ATM) can be efficiently used to transport apcket data services. The switching system will support voice and packet data service simultaneously from end to end applications. To guarantee the quality of service (QoS) of the offered services, a source rate to send packet data is needed to control the network overload condition. Most existing control algorithms are shown to provide the threshold-based feedback control technique. However, real-time voice calls can be dynamically connected and released during data services in the network. If the feedback control information delays, a quality of the serviced voice can be degraded due to a time delay between the source and the destination in the high speed link. An adaptive algorithm based on the optimal least mean square error technique is presented for the predictive feedback control techinique. This algorithm is used to attempt predicting a future buffer size from weight(slope) adaptation of unknown functions, which are used for feedback control. In this paper, we have presented simulation results, which are related to the effective use of the algorithm.

      • 칼라 화상 합성을 위한 윤곽선 추출 고속화 알고리즘에 관한 연구

        황인선,김희수,박경우,조정래,위승정 광주보건대학 1998 論文集 Vol.23 No.-

        This Paper describes a contour extraction algorithm for color image composition. When a new image is compoended with an object cut from many images, it is important to extract contour f the object. The principal way of extracting contour suggested the method that the contour of an object is drawn with a thick line, and the line is made a thin line by spacial differental value if input image. But in that case, as there is an defect which takes processing the above mentioned method.

      • 수도권 지역의 의료기기 관련 업체의 실태 조사 연구

        양태홍,이우철,김정래,박승환 서울보건대학 1997 서울보건대학 부설 병원경영연구소 논문집 Vol.3 No.1

        Recently, the domestic business of medical equipment have many difficult things in the development and sale of new product. To overcome them, it is needed to solidify the co-work system of industry-education marriage. This paper is undertakened to serve an aid in the field of medical equipment. The analysis of data is attempted through the survey by questionaires, and an object of study is the medical business corporation at Seoul area. As a result to review the data it was identifided that this study is able to be applied to the basis material to reconstruct a right role and phase to medical business Also, it`s expected that we're able to use its results as the educational materials to bring up the more qualified students fit to the industrial need.

      • KCI등재

        Implementation of Drug Delivery Constitution for Inpatient based on the Position Tracking System

        Jeong-lae Kim,Su-yeonYoon,Sang-hee Gil,Bo-geun Park,Hyun-woo Jeong 국제문화기술진흥원 2021 International Journal of Advanced Culture Technolo Vol.9 No.4

        We are designed the delivery constitution technique that is to be measure the safe RFID statusof thewireless delivery system level (WDSL) on the delivery system tracking system. The delivery system level condition by the delivery system tracking system is organized with the RFID system. As to inspection a wireless network of the wireless network, we are found of the delivery value with wireless network by the upper take form. The concept of delivery system level is organized the reference of wireless level for delivery signal by the delivery RFID tracking system. Further, symbolizing a safe deliveryof the WDSL of the medium-minimum interval of the RFID tracking system, and the delivery wireless network RFID that was the delivery value of the far delivery of the DSTS-FA-φMED-MIN with 5.80±1.20 units, that was the delivery value of the convenient delivery of the DSTS-CO-φMED-MIN with 4.06±(-0.04) units, that was the delivery value of the flank delivery of the DSTS-φMED-MIN with 0.91±0.07 units, that was the delivery value of the vicinage delivery of the DSTS-VI-φMED-MIN with 0.18±(-0.03) units. The RFID will be to look into at the safe of the RFID tracking systemwith wireless network bythe delivery system level on the WDSL that is supply the wireless tracking system by the delivery system level system. We will be possible make to curb of a tracking system that to put the wireless signal and to use of the delivery data of RFID level by the delivery system.

      • KCI등재

        A Spatial Regularization of LDA for Face Recognition

        Park, Lae-Jeong Korean Institute of Intelligent Systems 2010 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.10 No.2

        This paper proposes a new spatial regularization of Fisher linear discriminant analysis (LDA) to reduce the overfitting due to small size sample (SSS) problem in face recognition. Many regularized LDAs have been proposed to alleviate the overfitting by regularizing an estimate of the within-class scatter matrix. Spatial regularization methods have been suggested that make the discriminant vectors spatially smooth, leading to mitigation of the overfitting. As a generalized version of the spatially regularized LDA, the proposed regularized LDA utilizes the non-uniformity of spatial correlation structures in face images in adding a spatial smoothness constraint into an LDA framework. The region-dependent spatial regularization is advantageous for capturing the non-flat spatial correlation structure within face image as well as obtaining a spatially smooth projection of LDA. Experimental results on public face databases such as ORL and CMU PIE show that the proposed regularized LDA performs well especially when the number of training images per individual is quite small, compared with other regularized LDAs.

      • KCI등재

        Optimization of Classifier Performance at Local Operating Range

        Lae-Jeong Park,Jung-Ho Moon 한국지능시스템학회 2005 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.5 No.3

        Building classifiers for financial real-world classification problems is often plagued by severely overlapping and highly skewed class distribution. New performance measures such as receiver operating characteristic (ROC) curve and area under ROC curve (AUC) have been recently introduced in evaluating and building classifiers for those kind of problems. They are, however, ineffective to evaluation of classifier's discrimination performance in a particular class of the classification problems that interests lie in only a local operating range of the classifier. In this paper, a new method is proposed that enables us to directly improve classifier's discrimination performance at a desired local operating range by defining and optimizing a partial area under ROC curve or domain-specific curve, which is difficult to achieve with conventional classification accuracy based learning methods. The effectiveness of the proposed approach is demonstrated in terms of fraud detection capability in a real-world fraud detection problem compared with the MSE-based approach.

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