• Applied Science and Convergence Technology
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• 제24권2호
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• pp.27-32
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• 2015

We analyzed the destruction patterns of a turbo-molecular pump (TMP) resulting from its sudden exposure of a foreline to the atmospheric pressure due to a destruction of the foreline connecting clamp of an ICP dry etcher for 300 mm wafers during high-vacuum operation ($5{\times}10^{-6}$ Torr). Unlike in the case of view port's breakage, the TMP's rotor module was crashed inside the chamber. The primary damage resulted from the collision of the blades and stators, and the secondary damage resulted from the breaking of the rotor - driving shaft assembly. The fixing screws of the rotor and axial shaft were bent and broken when the TMP controller output the maximum current even after the crash event. Electrical power consumption analysis of the TMP power controller confirmed it. The stress distributions were analyzed by a finite element method using CFD-ACE+ multi physics software. Rotating inertia of each parts and kinetic energies were calculated as well. 68% of the rotational kinetic energy is deposited by the rotor - shaft module.

• 대한기계학회논문집A
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• 제38권2호
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• pp.115-120
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• 2014

본 연구에서는 다물체 동역학 해석 소프트웨어인 RecurDyn 을 이용하여 풍력 발전기를 쉽게 모델링하고 동적 거동 해석을 수행할 수 있는 기법을 개발하였다. 풍력 발전기는 타워, 너셀, 허브, 그리고 블레이드로 구성되어 있다. 타워와 블레이드는 탄성체로 가정하였고 탄성효과를 고려하기 위하여 탄성체 이론을 이용하여 모델링 하였다. 바람의 속도는 일정하다고 가정하였고 날개 요소 운동량 이론을 이용하여 공력하중을 모델링 하였다. 이를 통해 계산된 공력을 풍력 발전기에 적용시키고 동적 거동 해석을 수행하였다. 해석의 타당성을 검증하기 위하여 풍력 발전 시스템 상용 소프트웨어인 GH-Bladed를 이용한 해석결과와 비교하였다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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• pp.442-446
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• 2004

KOMPSAT series use software-controlled unregulated bus system in which the main bus is directly connected to a battery and the duty-ratio for PWM switch is controlled by the on-board satellite software. This paper proposes a new power-stage circuit that can be available for modularization of the power regulator which is used at the software-controlled unregulated bus system satellite. And we analyze the proposed power-stage operation according to its operating modes and verify it by performing software simulation and hardware experiment using prototype. We constructs a parallel-module converter which is composed of proposed power-stages and perform experiment to verify modular characteristics of the proposed power-stage. Finally, we verify the usefulness of the proposed power-stage by comparing above results with those of a parallel-module converter made of conventional power-stages.

• 한국정밀공학회지
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• 제24권8호통권197호
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• pp.97-107
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• 2007

The present CNC machining system if without any CAM software has been limited to 2D or 2.5D plane cut using lines, arcs and curves. If the CNC is equipped with a surface interpolation module and a surface reorganizing module inside it, we can easily try 3D surface machining without aid of CAM software. The existing NURBS surface interpolator is simple and direct to use for a unit surface. However, it enables only machining of each reference surface individually even when machining a simple composite surface. In this paper, we propose a method which can unify and reorganize various reference surfaces with a newly defined NURBS surface cycle command: a multi-repetitive cycle command such as in a CNC turning center. We also introduce a reorganizing rule for reference surfaces using NURBS properties. The usefulness of the proposed method is verified through computer simulation.

• International Journal of Aeronautical and Space Sciences
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• 제14권4호
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• pp.356-368
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• 2013

The Korea Aerospace Research Institute plans to launch a lunar module by 2025, and so is carrying out a preliminary study. Landing stability on the lunar surface is a key design factor of a lunar module. In this paper, a 1/6 scale model of a lunar module is investigated, for its landing stability on non-level surfaces. The lunar module has four tripod legs, with aluminum honeycomb shock absorbers in each leg strut. ADAMS$^{TM}$, the most widely used multi-body dynamics and motion analysis software, is used to simulate the module's lunar landing. Three types of dampers in the struts (rigid, viscous, and aluminum honeycomb dampers), and two types of lunar surfaces (rigid and elastic) are considered. The Sforce function is adopted, to model the aluminum honeycomb dampers. Details on the modeling and analysis of the landing stability of the 1/6 scale lunar module and the simulation results are provided in this paper.

• 전기학회논문지P
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• 제53권2호
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• pp.77-81
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• 2004

In this paper, multi-functional measurement module for RTD and 4-20mA Analog input is presented. As you know, In many industry field, RTD has been used for measuring a temperature. Although It have good properties such as wide measurement range, accuracy, the hardware or software compensation methods were applied to better linearity in many applications. According to this paper, a simply approximation method and various measuring technique are proposed to compensate large lead's resistance influence in RTD temperature measurements. As the experiment and simulation results, it is proved that the proposed method has good performance of measuring temperature. Additionally, with the CAN based communication, remote monitoring and parameter setting functions are realized.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4426-4442
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• 2020

Since scene segmentation is becoming a hot topic in the field of autonomous driving and medical image analysis, researchers are actively trying new methods to improve segmentation accuracy. At present, the main issues in image semantic segmentation are intra-class inconsistency and inter-class indistinction. From our analysis, the lack of global information as well as macroscopic discrimination on the object are the two main reasons. In this paper, we propose a Densely connected residual Attention network (DA-Res2Net) which consists of a dense residual network and channel attention guidance module to deal with these problems and improve the accuracy of image segmentation. Specifically, in order to make the extracted features equipped with stronger multi-scale characteristics, a densely connected residual network is proposed as a feature extractor. Furthermore, to improve the representativeness of each channel feature, we design a Channel-Attention-Guide module to make the model focusing on the high-level semantic features and low-level location features simultaneously. Experimental results show that the method achieves significant performance on various datasets. Compared to other state-of-the-art methods, the proposed method reaches the mean IOU accuracy of 83.2% on PASCAL VOC 2012 and 79.7% on Cityscapes dataset, respectively.

• 전자공학회논문지CI
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• 제40권4호
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• pp.214-221
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• 2003

본 논문에서는 H.261과 H.263 표준을 모두 만족하는 영상 코텍을 임베디드 시스템에서 구현한다. 효율적인 실시간 처리를 위하여, 영상 코덱은 하드웨어 모듈과 소프트웨어 모듈로 구분되어 임베디드 시스템에서 통합 설계된다. 소프트웨어 모듈은 실시간 운영체제와 RISC 프로세서를 이용하여 수행되며, 하드웨어 모듈과 연동하여 실시간으로 영상을 압축하고 복원한다. 시스템 버스로는 AMBA AHB가 사용되며 하드웨어 모듈은 AMBA AHB의 마스터(master)와 슬레이브(slave)의 역할을 모두 수행한다. 영상 압축과정을 실시간으로 처리하기 위하여 인코더의 하드웨어 모듈은 파이프라인으로 설계된다. 구현된 영상 코덱은 H.261과 H.263 표준에 준하여 33㎒의 동작 주파수에서 1초 동안에 CIF 화면 15장을 동시에 압축하고 복원한다.

• 한국산업정보학회논문지
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• 제8권2호
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• pp.84-91
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• 2003

다목적 실용위성(KOMPSAT) 시리즈는 버스전압이 배터리 전압과 동일하며, 전력조절기(power regulator)의 스위칭 듀티 값(duty-ratio)이 위성탑재 소프트웨어에 의해서 제어되는 소프트웨어 제어방식의 비 조절형 버스 시스템(unregulated bus system)을 사용한다. 본 논문에서는 이와 같은 소프트웨어 제어방식의 비 조절형 버스 시스템의 전력조절기 모듈화에 적용 가능한 새로운 전원단 회로를 제안하며, 제안된 전원단의 모드별 동작 특성을 해석한다. 다음으로 컨버터 병렬동작에서 발생할 수 있는 모듈간 전류 불균형(current unbalance)에 대한 제안된 전원단의 타당성을 검증하기 위해 제안된 전원단을 적용한 병렬모듈 컨버터의 prototype제작하여 모듈별 전류 분배(current sharing) 특성을 시뮬레이션 결과와 비교 검토한다.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.88-97
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• 2023

Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.