• 제목/요약/키워드: Global Method

검색결과 5,470건 처리시간 0.03초

냉장고 도어스위치의 가속수명시험 (Accelerated Life Test for Door Switch of Refrigerator)

  • 유동수;김상욱;장영기;문철희
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제5권2호
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    • pp.273-287
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    • 2005
  • Accelerated life test models and procedure are developed to assess the reliability of Refrigerator door switch. The main function of door switch is to operate bulb lamp and fan motor in the refrigerating room. The accelerated life test method and test equipments are developed using the relationship between stresses and life characteristics of the products. Using the developed accelerated life test method, the parameters of the ALT model and life time distribution are estimated and the reliability of the Door S/W at use condition if assessed. The proposed accelerated life test method and procedure may be extended and applied to testing similar kinds of products to reduce test time and costs of the tests remarkably.

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A TWO-DIMENSIONAL MAXIMUM SEARCH MEHHOD BY A GLOBAL PRIORITY STRATEGY WITH LOCAL PEAK ESTIMATION:ITS OPTIMAL SWITCHING CRITERION

  • Wakasugi, Yoshizumi;Yasuda, Genichi;Shin, Seiichi
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.488-491
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    • 1995
  • The paper presents a new global maximum search method for multimodal unknown functions of two variables. The search method is composed of two stages and sequentially samples the candidate point in a subdomain selected using a priority function in each stage. The search domain is auto-similarly divided into triangular subdomains, or cells, during the search process. A measure of accuracy of local maximum search is introduced to check if a local search has converged to a specified accuracy or the maximum of a local peak cannot be the global maximum. A criterion for switching from the first to the second stage, is proposed using a ratio of the observed peak width to the largest cell in the domain. By numerical simulations, the required number of trials is evaluated for some function models with different peak parameters, and the switching criterion is optimally determined. The results show that the proposed method obtains global maximum points with certainty and saves largely computation time even for functions with extremely steep peaks.

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내부공진을 가진 보의 흡인영역 (Domains of Attraction of a Forced Beam with Internal Resonance)

  • 이원경;강명란
    • 대한기계학회논문집
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    • 제16권9호
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    • pp.1711-1721
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    • 1992
  • 본 연구에서는 Nayfeh등과 이원경과 소강영은 조화가진하의 핀과 꺽쇠로 고정 된 보(hinged-clamped beam)의 강제 진동 해석을 통하여 점근적으로 안정한 정상상태 응답이 둘 이상 존재할 수 있음을 알게 되었다. 본 연구에서는 이 경우에 접근적으 로 안정한두 정상상태 응답을 구하고 이들 안정한 해로 각각 흡인되는 초기조건들의 집합인 흡인영역을 보간사상법(interpolated mapping method)과 직접 수치적분에 의해 구한 후 서로 비교하였다.

TEST ON REAL-TIME CLOUD DETECTION ALGORITHM USING A NEURAL NETWORK MODEL FOR COMS

  • Ahn, Hyun-Jeong;Chung, Chu-Yong;Ou, Mi-Lim
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.286-289
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    • 2007
  • This study is to develop a cloud detection algorit1un for COMS and it is currently tested by using MODIS level 2B and MTSAT-1R satellite radiance data. Unlike many existing cloud detection schemes which use a threshold method and traditional statistical methods, in this study a feed-forward neural network method with back-propagation algorit1un is used. MODIS level 2B products are matched with feature information of five-band MTSAT 1R image data to form the training dataset. The neural network is trained over the global region for the period of January to December in 2006 with 5 km spatial resolution. The main results show that this model is capable to detect complex cloud phenomena. And when it is applied to seasonal images, it shows reliable results to reflect seasonal characteristics except for snow cover of winter. The cloud detection by the neural network method shows 90% accuracy compared to the MODIS products.

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유체부가수질량 절점분포 방법에 의한 전선진동해석 (Global Ship Vibration Analysis by Using Distributed Fluid Added Mass at Grid Points)

  • 김영복;최문길
    • 대한조선학회논문집
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    • 제48권4호
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    • pp.368-374
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    • 2011
  • Recently, the ship vibration analysis technique has been well set up by using FEM. The methods considering the hydrodynamic added mass and damping of the fluid surrounding a floating ship have been well developed, so that they can be calculated by using the commercial package FEM programs such as MSC/NASTRAN, ADINA and ANSYS. Especially, MSC/NASTRAN has the functions to consider the fluid in tanks(MFLUID) and to solve the Fluid-Structure Interaction(FSI) problem(DMAP). In this study, the global ship vibration with considering the added mass distributed at the grid points on the wetted shell surface is introduced to. In the new method, the velocity potentials of the fluid surrounding a floating ship are calculated by solving the Lapalce equation using the Boundary Element Method(BEM), and the point mass is obtained by integrating the potentials at the points. Then, the global vibration analyses of the ship structure with distributed added mass on the wetted surface are carried out for an oil/chemical tanker. During the future sea trial, the results will be confirmed by measurement.

마그네틱 랜드마크를 이용한 모바일 로봇의 위치 인식 및 위치 보정 기술의 개발 (Development of Localization and Pose Compensation for Mobile Robot using Magnetic Landmarks)

  • 김범수;최병준;유원석;문형필;구자춘;최혁렬
    • 로봇학회논문지
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    • 제5권3호
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    • pp.186-196
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    • 2010
  • In this paper, we present a global localization and position error compensation method in a known indoor environment using magnet hall sensors. In previous our researches, it was possible to compensate the pose errors of $x_e$, $y_e$, ${\theta}_e$ correctly on the surface of indoor environment with magnets sets by regularly arrange the magnets sets of identical pattern. To improve the proposed method, new strategy that can realize the global localization by changing arrangement of magnet pole is presented in this paper. Total six patterns of the magnets set form the unique landmarks. Therefore, the virtual map can be built by using the six landmarks randomly. The robots search a pattern of magnets set by rotating, and obtain the current global pose information by comparing the measured neighboring patterns with the map information that is saved in advance. We provide experimental results to show the effectiveness of the proposed method for a differential drive wheeled mobile robot.

화염온도 제어법을 이용한 확산화염의 소화 및 점화특성 검토 (An Investigation of the Extinction and Ignition Characteristics Using a Flame-Controlling Method)

  • 오창보;이의주;황철홍
    • 한국안전학회지
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    • 제26권1호
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    • pp.21-26
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    • 2011
  • Extinction and ignition characteristics of $CH_4$-air counterflow diffusion flame were numerically investigated using a Flame-Controlling Method(FCM). A skeletal reaction mechanism, which adopts 17 species and 58 reactions, was used in the simulation. The extinction and ignition conditions of the $CH_4$-air diffusion flames were investigated with varying the global strain rate. Upper and middle branches of S-curve for the peak temperature in the inverse of the global strain rate space were obtained with the FCM. The structures of diffusion flames in the upper and middle branches of S-curve were compared. It was found that the global strain rate was not correlated with the local strain rate well in the low global strain rate region. It is expected that the FCM is very useful to obtaining the extinction and ignition condition of diffusion flame, such as fires.

Image Retrieval Based on the Weighted and Regional Integration of CNN Features

  • Liao, Kaiyang;Fan, Bing;Zheng, Yuanlin;Lin, Guangfeng;Cao, Congjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권3호
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    • pp.894-907
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    • 2022
  • The features extracted by convolutional neural networks are more descriptive of images than traditional features, and their convolutional layers are more suitable for retrieving images than are fully connected layers. The convolutional layer features will consume considerable time and memory if used directly to match an image. Therefore, this paper proposes a feature weighting and region integration method for convolutional layer features to form global feature vectors and subsequently use them for image matching. First, the 3D feature of the last convolutional layer is extracted, and the convolutional feature is subsequently weighted again to highlight the edge information and position information of the image. Next, we integrate several regional eigenvectors that are processed by sliding windows into a global eigenvector. Finally, the initial ranking of the retrieval is obtained by measuring the similarity of the query image and the test image using the cosine distance, and the final mean Average Precision (mAP) is obtained by using the extended query method for rearrangement. We conduct experiments using the Oxford5k and Paris6k datasets and their extended datasets, Paris106k and Oxford105k. These experimental results indicate that the global feature extracted by the new method can better describe an image.

경계요소법을 이용한 접촉해석의 효율적인 접촉면 검출기법 (An Efficient Contact Detection Algorithm for Contact Problems with the Boundary Element Method)

  • 김문겸;윤익중
    • 한국전산구조공학회논문집
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    • 제22권5호
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    • pp.439-444
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    • 2009
  • 본 논문에서는 경계요소법의 평면 접촉해석에 사용될 수 있는 효율적인 접촉면 검출 알고리즘을 제시하였다. 접촉면 검출 알고리즘을 경계요소법에 적용하기 위하여, 경계요소법이 가지는 자료구조를 분석하였다. 경계요소법의 특징 중 하나인 모퉁이 문제를 고려하여 전역검색, 지역검색, 접촉관계식 설정의 3단계로 접촉면 검출기법을 구현하였다. 전역검색은 접촉 주요소, 부요소 개념을 도입하였으며, 지역검색에 있어서는 공간분할기법인 사지트리를 이용하였다. 접촉관계식의 설정을 위하여 요소수준에서 절점의 접촉여부를 검토하고 최종계의 방정식에 구속조건을 할당하도록 하였다. 제시된 알고리즘을 이용한 프로그램의 정확성과 효율성을 입증하기 위하여 수치해석을 실시하여 결과를 비교하였다.

임무계획 및 전역경로계획에 기반한 무인전투차량의 운용자 인터페이스 구현 (User Interface for Unmanned Combat Vehicle Based on Mission Planning and Global Path Planning)

  • 이호주;이영일;박용운
    • 한국군사과학기술학회지
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    • 제12권6호
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    • pp.689-696
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    • 2009
  • In this paper, a new user interface for unmanned combat vehicle(UCV) is developed based on the mission planning and global path planning. In order to complete a tactical mission given to an UCV, it is essential to design an effective interface scheme between human and UCV considering changing combat environment and characteristics of the mission. The user interface is mainly composed of two parts, mission planning and global path planning, since they are important factors to accomplish combat missions. First of all, mission types of UCV are identified. Based on mission types, the concept of mission planning for UCVs is presented. Then a new method for global path planning is devised. It is capable of dealing with multiple grid maps to consider various combat factors so that paths suitable for the mission be generated. By combining these two, a user interface method is suggested. It is partially implemented in the Dog-horse Robot of ADD and its effectiveness is verified.