• 정보저장시스템학회논문집
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• 제10권2호
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• pp.45-49
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• 2014

This study deals with obtaining the optimal shape of a patch antenna via the topology optimization method in order to enhance its radiation efficiency. The genetic algorithm scheme is proposed for the optimization process to satisfy the design objective. As a result, the optimal patch shape through the proposed process shows highly improved radiation efficiency and reduced scattered effects. Commercial package COMSOL and Matlab programming are employed for the entire optimization and analysis processes.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2012년도 전력전자학술대회 논문집
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• pp.387-388
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• 2012

본 논문은 7kW급의 DCM PFC 회로를 제안한다. DCM 제어방식은 제어기의 복잡성이 단순하여 디지털 제어기 적용이 용이하며 인덕터 사이즈가 다른 방식에 비해 작게 설계됨으로 전력밀도를 높일 수 있지만 입력전압이 높아짐에 따라 역률은 상대적으로 낮아지는 단점이 있다. 본 논문에서는 7kW급 DCM 방식의 Boost PFC 컨버터를 구현하고 전류조형기법을 적용하여 넓은 입력 전압 범위에도 역률이 0.99이상이 되는 것을 실험을 통해 확인한다.

• 한국정밀공학회지
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• 제17권11호
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• pp.115-121
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• 2000

In this paper, track tension estimation methods are developed for tracked vehicles which are subject to various maneuvering tasks such as turning and pivoting on flat road. The information of the track tension is very important for the tracked vehicles because the track tension is closely related to the maneuverability and the durability of the tracked vehicles. Kinetic models for the six road-wheels are obtained and used for calculating the track tension around the sprocket. This method does not require the tuning of the turning resistance, which makes it difficult to estimate the track tension in turning. The tension estimation performance of the proposed methods is verified through the simulation of the Multi-body Dynamics tool. The simulation results demonstrate the effectiveness of the proposed method under steering and pivoting of the tracked vehicles.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.1147-1148
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• 2023

상품의 개발을 위해서는 개발과 양산이라 하는 크게 2가지의 단계가 필요하다. 따라서 이에 필요한 부품을 관리하는 것에도 개발과 양산에 따라서 관리되어야 한다. 본 논문은 전자소자 품번 체계를 개발 및 양산 단계에 따라 표준화하고, 이를 기반으로 BOM 시스템을 구축한다. 이후 HL만도 내의 System에 이관하여 표준화된 품번을 활용한 System BOM 및 이력 등을 관리할 수 있을 것이다. 이는 각 연구소에서 공용화 환경을 구축할 수 있고, 구매, 품질 등 부서에서의 체계적인 환경 구축 수립을 통해 업무 수행에 많은 개선이 있을 것으로 예상된다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.1169-1170
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• 2023

본 논문에서는 험지 환경에서 순찰하는 모바일 로봇의 이동 가능성(traversability)을 수행하기 위해 로봇에 탑재되는 Jetson AGX Orin에서의 실시간 Semantic Segmentation을 달성하는 것을 목표로 하였다. 험지 환경을 위한 OFFSEG 모델을 활용하였으며, 다운샘플링, 파라미터 최적화 등 각종 경량화 기술을 적용하여 지연 시간을 단축시켰다. 또한 현장과 유사한 환경에서의 테스트를 통해 처리 시간을 목표로 하는 100ms에 근접한 시간으로 단축할 수 있었다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.11-12
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• 2024

건설 현장에서 자율주행 로봇의 안전한 주행을 위해 동적 장애물의 정확한 인식 및 추적이 중요하다. 본 논문에서는 실시간 3D 객체 인식 및 추적을 위한 방법을 제안한다. Complex-YOLOv4 모델을 이용한 객체 인식, SORT 알고리즘 확장을 통한 객체 추적을 구현하였다. Jetson AGX Orin 보드의 ROS2 환경에서 시스템을 구축하여, 실시간 3D 객체 인식 및 추적이 가능함을 확인하였다.

• 제어로봇시스템학회논문지
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• 제19권1호
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• pp.15-26
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• 2013

This paper proposes a classification method of parallel, vertical parking states and pillars for parking assist system using ultrasonic sensors. Since, in general parking space detection module, the compressed amplitude of ultrasonic data are received, the analysis of them is difficult. To solve these problems, in preprocessing state, symmetric transform and noise removal are performed. In feature extraction process, four features, standard deviation of distance, reconstructed peak, standard deviation of reconstructed signal and sum of width, are proposed. Gaussian fitting model is used to reconstruct saturated peak signal and discriminability of each feature is measured. To find the best combination among these features, multi-class SVM and subset generator are used for more accurate and robust classification. The proposed method shows 92 % classification rate and proves the applicability to parking space detection modules.

• 제어로봇시스템학회논문지
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• 제17권1호
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• pp.6-11
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• 2011

This paper proposes a new collision risk assessment system for pedestrians's safety. Monte Carlo Simulation (MCS) method is a one of the most popular method that rely on repeated random sampling to compute their result, and this method is also proper to get the results when it is unfeasible or impossible to compute an exact result. Nevertheless its advantages, it spends much time to calculate the result of some situation, we apply not only MCS but also Neural Networks in this problem. By Monte carlo method, we make some sample data for input of neural networks and by using this data, neural networks can be trained for computing collision probability of whole area where can be measured by sensors. By using this trained networks, we can estimate the collision probability at each positions and velocities with high speed and low error rate. Computer simulations will be shown the validity of our proposed method.

• 대한기계학회논문집A
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• 제21권8호
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• pp.1259-1269
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• 1997

The procedure for the determination of the residual life of the pressurizer surge line nozzle in the nuclear plant is developed. The design fatigue life for the 1800 $ft^3$ pressurizer surge line nozzle in cast head design is compared with that of Westinghouse stress report, and the percentage difference between two results is less than 9%. The design fatigue life evaluation of the 1000 $ft^3$ pressurizer surge line nozzle in fabricated head design is carried out, and the consuming rate and residual life are estimated using the operating data.

• 한국자동차공학회논문집
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• 제17권5호
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• pp.26-30
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• 2009

In this paper, a robust model based fault detection for varying temperature is proposed, To develop a robust force estimation model, it needs temperature information because the force sensor's output is affected by a temperature variation. If an EPB system does not include a temperature sensor, the model has a much larger error than an EPB system with a built-in temperature sensor. Therefore, the temperature is estimated by using Ohm's law. The force model is applied with a motor current, battery voltage, operation mode, and the estimated temperature to detect a force sensor's abnormal signal fault. The residual is calculated by comparing the value of the measured force and the estimated force. Fault information is collected by using the output of the evaluated residual with the adaptive thresholds. A proposed robust model based fault detection for varying temperature was verified by HILS (Hardware in the Loop Simulation).