• Journal of Korean Neurosurgical Society
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• v.52 no.4
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• pp.404-406
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• 2012

The occurrence of symptomatic pituitary hemorrhage into a Rathke's cleft cyst (RCC) is extremely rare. The author reports an interesting case of intra- and suprasellar RCC presented with features of pituitary apoplexy. This 62-year-old woman suffered acute headache, mental confusion, and partial hypopituitarism. The characteristics of the magnetic resonance imaging seemed most compatible with a hemorrhagic pituitary adenoma. Transsphenoidal drainage of the cyst contents confirmed the diagnosis of hemorrhagic RCC and resolved the symptoms. All published data on this rare clinical entity are extracted and reviewed.

• International Journal of Ocean System Engineering
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• v.2 no.4
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• pp.200-208
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• 2012

Surge overflow may cause damage on earthen levees. Levee strengthened on the levee crest and landward-side slope can provide protection against the erosion damage induced by surge overflow. In this paper, surge overflow of a roller compacted concrete RCC strengthened levee was studied in a purely Lagrangian and meshless approach, the smoothed particle hydrodynamics (SPH) method. After verifying the developed model with analytical solution and comparing the results with full-scale experimental data, the roughness and erosion parameters were calibrated. The water thickness, flow velocity, and erosion depth at crest, landward-side slope and toe were calculated. The characteristics of flow hydraulics and erosion on the RCC strengthened levee are given. The results indicate that the RCC strengthened levee can resist erosion damage for a long period.

• The Korean Journal of Cytopathology
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• v.9 no.1
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• pp.95-98
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• 1998

Papillary renal cell carcinoma (RCC) is an uncommon subtype of RCC that has distinctive gross, histologic, and cytogenetic features. The cytologic features of FNA are abundant papillary clusters and relatively few single cells. The cells are usually small and contain uniform nuclei; numerous macrophages with foamy cytoplasm are often found in the background. We describe a case of papillary renal cell carcinoma evaluated by fine needle aspiration cytology(FNAC) in a 42 year-old man. The smear showed a few papillary clusters and numerous macrophages with foamy cytoplasm in the background. With adequate cellularity, papillary RCC can be distinguished reliably from non-papillary RCC by FNAC.

• Journal of Korean Neurosurgical Society
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• v.52 no.2
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• pp.152-155
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• 2012

A Rathke's cleft cyst (RCC) is a benign pituitary cyst derived from the remnant of Rathke's pouch, and usually presents as an intrasellar lesion with varying degrees of suprasellar extension. However, to date, a description of a primary prepontine RCC with no intrasellar component has not been reported. The author describes an exceptional case of a symptomatic RCC located behind the sella turcica in a 41-year-old woman who presented with severe headache. The author also provides an embryological hypothesis of the development of an ectopic RCC, with a special emphasis on radiologic characteristics.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.731-736
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• 1989

RCC(Remote Center Compliance)[1][2] is a useful device for peg and hole insertion works. Two methods for smooth insertion of round peg and round hole are proposed. The idea of method 1 is to design the optimum position of the compliance center of RCC which is different from that of usual RCC in order to minimize the insertion force with the assumption of the known insertion angle. The idea of method 2 is to insert peg with rotation in order to decrease the friction coefficient between peg and hole. The two ideas are analyzed theoretically and are shown valid experimentally.

• Journal of Power Electronics
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• v.17 no.5
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• pp.1338-1348
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• 2017

In this study, a modified ripple correlation control (RCC) maximum-power point-tracking (MPPT) algorithm is proposed for a single-stage single-phase voltage source inverter (VSI) on a grid-connected photovoltaic system (GCPVS). Unlike classic RCC methods, the proposed algorithm does not require high-pass and low-pass filters or the increment of the AC component filter function in the voltage control loop. A simple arithmetic mean function is used to calculate the average value of the photovoltaic (PV) voltage, PV power, and PV voltage ripples for the MPPT of the RCC method. Furthermore, a high-accuracy and high-precision MPPT is achieved. The performance of the proposed algorithm for the single-stage single-phase VSI GCPVS is investigated through simulation and experimental results.

• The Journal of Korea Robotics Society
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• v.2 no.2
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• pp.168-177
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• 2007

In a number of fields, robots are being used for two purposes: efficiency and safety. Most robots, however, have single-actuator mechanism for each joint, where the tasks are performed with high stiffness. High stiffness causes undesired problems to the environment and robots. This study proposes redundant actuator mechanism as an alternative idea to cope with these problems. In this paper, Double-Actuator Unit (DAU) is implemented at each joint for applications of multi-link manipulators. The DAU is composed of two motors: the positioning actuator and the stiffness modulator, which enables independent control of positioning and compliance. A three-link manipulator with DAUs enables adaptive control of RCC. By modulating the joint stiffness of the manipulator and controlling the position of RCC, we can significantly reduce contact force during assembly tasks and surgical procedures.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.2
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• pp.71-79
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• 1997

In this paper, we propose a new nearest-neighbor classifier with reduced computational complexity in search process. In the proposed classifier, the classes are divided into two sets: reference and non-reference sets. It reduces computational requriement by approximating the distance between the input and a class iwth the information of distances among the calsses. It calculates only the distance between the input and the reference classes. We convert a given classifier into RCC (reduced computational complexity but smal lincrease in misclassification probability of its corresponding RCC classifier. We designed RCC classifiers for the recognition of digits from the NIST database. We obtained an RCC classifier with 60% reduction in the computational complexity with the cost of 0.5% increase in misclassification probability.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1536-1540
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• 2010

자료기반 수문예측 모형은 서로 자기상관이 다른 자료계열에 대해 예측결과만으로 모형의 성능에 대한 상대비교가 어렵다. 그러나 관측치와 예측치간의 평균 오차만을 기준으로 판단하는 기존의 모형 성능평가 기법은 대부분 이러한 자료기반 예측모형의 특성을 고려하지 못하고 있다. 따라서 본 논문에서는 자료기반 수문 예측모형의 성능을 보다 객관적으로 평가할 수 있는 새로운 모형 성능평가 기법인 상대 상관계수(Relative Correlation Coefficient; RCC) 제시하였다. RCC는 자기상관계수에 대한 관측치와 예측치간의 상관계수의 비로 산정되며, 자기상관정도에 따라 예측성능의 결과가 달라진다. 본 논문에서는 다양한 자기상관을 가지는 선형, 비선형 자료계열에 대해 자료기반 수문모형을 적용하여 기존 모형평가 기법의 한계를 제시하였다. 그리고 기존의 성능평가 기법과 RCC를 비교분석하여 자료기반 수문예측모형의 성능평가에 있어 RCC가 보다 객관적이고 일관성 있는 성능평가가 가능함을 보였다.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1083-1090
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• 2022

Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.