• 제목/요약/키워드: Automation measurement system

검색결과 240건 처리시간 0.027초

압전형 가속도 센서의 개발과 특성평가에 관한 연구 (Development of Piezoelectric Accelerometers and Their Performance Evaluation)

  • 이두희;임병덕;이용봉;김정태
    • 대한기계학회논문집
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    • 제16권4호
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    • pp.811-818
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    • 1992
  • 본 연구에서는 정밀진동 측정에 사용하기 위한 압전형 가속도계의 설계 제작 기술과 가속도계의 특성평가 기술을 개발하는데 주안점을 두고 세가지 크기의 가속도 계 9개를 설계 제작하여 특성평가를 하였다. 제작된 압전형 가속도계는 압축형(com- pression type)으로 산업체 현장에서 수요가 많은 40gram 정도의 무게를 가진 중형급 이면서 사용주파수 범위가 20kHz 이상인 실용적인 진동측정용 센서가 되도록 하였다. 개발된 가속도계의 성능을 평가하기 위해서 가속도계의 대표적인 특성인자인 운동방 향에 대한 감도, 선형성, 횡방향 감도 및 음압감도를 측정하여 기존의 가속도계와 비 교하였다.

렌치 작업에서의 청년층의 상지근력 및 근피로도에 관한 연구 (Upper Limbs Related Muscle Strength and Fatigue During the Wrench Job for Korean Young Aged)

  • 윤훈용;김은식
    • 산업경영시스템학회지
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    • 제35권2호
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    • pp.88-97
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    • 2012
  • The muscle strengths in various postures are still used in the workplace, although mechanization and automation have been continuously accomplished. The aim of this study is to measure the maximum muscle strength and analyze the muscle fatigue during the various wrench jobs which are one of the upper limbs related works. Four hundreds and eighty five college students (243 males and 242 females) participated in this study. Twelve muscle strengths which are using for pulling, pushing, lifting and lowering the wrench with various postures are measured. For every moment, the muscle strengths for both hands were measured. In each measurement, five seconds averaged value and peak value were collected. The averaged value of preferred hand and non-preferred hand was compared. Also, the averaged value of opposite movement was compared through t-test. The fatigue of agonist for each movement was analyzed using EMG analysis. The result of this study can provide some basic information not only in designing the tools in work but also in selection, training and management of workers.

Multibiometrics fusion using $Acz{\acute{e}}l$-Alsina triangular norm

  • Wang, Ning;Lu, Li;Gao, Ge;Wang, Fanglin;Li, Shi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권7호
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    • pp.2420-2433
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    • 2014
  • Fusing the scores of multibiometrics is a very promising approach to improve the overall system's accuracy and the verification performance. In recent years, there are several approaches towards studying score level fusion of several biometric systems. However, most of them does not consider the genuine and imposter score distributions and result in a higher equal error rate usually. In this paper, a novel score level fusion approach of different biometric systems (dual iris, thermal and visible face traits) based on $Acz{\acute{e}}l$-Alsina triangular norm is proposed. It achieves higher identification performance as well as acquires a closer genuine distance and larger imposter distance. The experimental tests are conducted on a virtual multibiometrics database, which merges the challenging CASIA-Iris-Thousand database with noisy samples and the NVIE face database with visible and thermal face images. The rigorous results suggest that significant performance improvement can be achieved after the implementation of multibiometrics. The comparative experiments also ascertain that the proposed fusion approach outperforms the state-of-art verification performance.

Development of Analog Gauge Recognition System Using Morphological Operation and Periodic Measurement Function

  • Ryu, Jin-kyu;Kwak, Young-Tae
    • 한국컴퓨터정보학회논문지
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    • 제23권2호
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    • pp.27-34
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    • 2018
  • In this paper, we propose a new method to read the hand of analog gauges to prepare for the smart factory. In addition, we suggest a new and improved method that can apply, in general, diverse analog gauges even if their scale types and ranges are various. Many companies are making great efforts to build smart factories that increase energy efficiency and automation. Managers use a variety of equipment and tools to manage the production process at the factory. In this kind of factory, analog gauges have been often used with many equipment and tools. Analog gauges are mostly circular in shape, and most papers use circular hough transform to find the center and radius of a circle. However, when the object to be found is not of the correct circle type, it takes a long time to recognize the circle using the circular hough transform, and the center and radius of the circle can not be calculated accurately. The proposed method was tested on various circular analog gauges. As a result, we confirmed that our method is outstanding.

부분 영상 매칭에 기반한 텍스트 검증 (Text Verification Based on Sub-Image Matching)

  • 손화정;정선화;김수형
    • 정보처리학회논문지B
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    • 제12B권2호
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    • pp.115-122
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    • 2005
  • 영상이 다른 영상을 포함하고 있는 경우, 이득 영상의 인치 여부를 판단하는 부분 영상 매칭 방법은 대부분 자연 영상을 대상으로 연구되고 있다. 본 논문에서는 자연 영상이 아닌 텍스트 영상을 매칭하는데 효과적인 두 가지 기법, 즉 메쉬 기반 방법과 상관성 기반 방법을 제안하고자 하다. 메쉬 기반 방법은 두 영상의 일치하는 모서리론 찾은 후 겹치는 영역에 대한 메쉬 특징을 이용하여 유사 여부를 판단하는 것으로, 일치 영역 검색 단계와 유사성 측정 단계로 구성된다. 상관성 기반 방법은 FFT를 이용하여 두 영상의 상관성을 계산함으로써 유사도를 측정한다. 우편 자동화 시스템에서 텍스트 영상을 검증하는 분야에 세안 방법을 적용한 견과, 메쉬 기반 방법은 $90.1\%$, 상관성 기반 방법은 $92.7\%$의 성능을 나타내었다.

상용차 오일압력 측정용 압력센서 제작을 위한 레이저용접기술 (Development of Laser Welding Technology for Commercial Vehicle Oil Pressure Sensor)

  • 이영민;김순동;최해운
    • Journal of Welding and Joining
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    • 제30권4호
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    • pp.38-43
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    • 2012
  • Using a fiber laser heat source, an oil pressure sensor was fabricated to measure the pressure in commercial vehicles. A stepping motor was used for the rotational and translational motion in the diaphragms and hardware joining. Laser welding process algorism including shielding gas control and vision system was integrated by using LabVIEW software for the high quality welding and in-line monitoring purpose. For the maximum flexibility in pressure transmission to the pressure sensor, thin sheet metal diaphragm, $25{\sim}50{\mu}m$(SUS-316L), was used and the diaphragms were optimally designed with FEM analysis. The welded samples were cross-sectioned the observation showed that the maximum depth ratio was more than seven times of diaphragms. The maximum welding speed was measured to be as high as 50in/mm by the developed automation mechanism. The fabricated prototypes were tested for the proof pressure, spring constant and sealing. The FEM results of spring constant measurement was as accurate as up to 80% of the design value and the sensor was safely operated up to the nominal pressure of 10bars.

딥러닝 및 영상처리 기술을 활용한 콘크리트 균열 검출 방법 (A Method for Detecting Concrete Cracks using Deep-Learning and Image Processing)

  • 정서영;이슬기;박찬일;조수영;유정호
    • 대한건축학회논문집:구조계
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    • 제35권11호
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    • pp.163-170
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    • 2019
  • Most of the current crack investigation work consists of visual inspection using simple measuring equipment such as crack scale. These methods involve the subjection of the inspector, which may lead to differences in the inspection results prepared by the inspector, and may lead to a large number of measurement errors. So, this study proposes an image-based crack detection method to enhance objectivity and efficiency of concrete crack investigation. In this study, YOLOv2 was used to determine the presence of cracks in the image information to ensure the speed and accuracy of detection for real-time analysis. In addition, we extracted shapes of cracks and calculated quantitatively, such as width and length using various image processing techniques. The results of this study will be used as a basis for the development of image-based facility defect diagnosis automation system.

Field Test of Automated Activity Classification Using Acceleration Signals from a Wristband

  • Gong, Yue;Seo, JoonOh
    • 국제학술발표논문집
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    • The 8th International Conference on Construction Engineering and Project Management
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    • pp.443-452
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    • 2020
  • Worker's awkward postures and unreasonable physical load can be corrected by monitoring construction activities, thereby increasing the safety and productivity of construction workers and projects. However, manual identification is time-consuming and contains high human variance. In this regard, an automated activity recognition system based on inertial measurement unit can help in rapidly and precisely collecting motion data. With the acceleration data, the machine learning algorithm will be used to train classifiers for automatically categorizing activities. However, input acceleration data are extracted either from designed experiments or simple construction work in previous studies. Thus, collected data series are discontinuous and activity categories are insufficient for real construction circumstances. This study aims to collect acceleration data during long-term continuous work in a construction project and validate the feasibility of activity recognition algorithm with the continuous motion data. The data collection covers two different workers performing formwork at the same site. An accelerator, as well as portable camera, is attached to the worker during the entire working session for simultaneously recording motion data and working activity. The supervised machine learning-based models are trained to classify activity in hierarchical levels, which reaches a 96.9% testing accuracy of recognizing rest and work and 85.6% testing accuracy of identifying stationary, traveling, and rebar installation actions.

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Single Chip Microcomputer를 이용한 탁주발효(濁酒醱酵)의 자동계측(自動計測)과 제어방법(制御方法)의 개발(開發) (Development of Automatic Measurement and Control Method based on Single Chip Microcomputer for Tackjoo Fermentation)

  • 김경만;전재근
    • 한국식품과학회지
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    • 제25권4호
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    • pp.391-394
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    • 1993
  • 탁주발효의 자동화를 위하여 발효 중 발생하는 기체를 측정할 수 있는 bubble counter와 제어장치를 개발하였다. 동 장치를 활용하여 pilot 규모의 탁주발효에 적용하였다. 탁주발효중 발생하는 기체를 계측하는 bubble counter는 photo-interruptor와 acryl관으로 구성하였으며, 계측되는 기체용적은 기포당 0.018ml였다. 그리고 탁주발효의 제어장치는 single chip microcomputer(MC68705R3)로 제작하였으며, 발효액의 온도를 측정, 제어하기 위하여 온도계측회로를 제작하였고, 냉각수 순환을 결정하는 solenoid valve의 작동으로 온도제어를 하였다. 동 장치를 운영하기 위하여 software를 작성하여 ROM에 구조화하였다. 동 장치로 $CO_2$ 발생량과 속도를 자동적으로 추정한 결과 알코올 농도곡선과 형태가 서로 유사함을 보여주었으며, $30^{\circ}C$ 발효조건에서 24시간때에 최대 발생량을 보였다. 알코올농도와 $CO_2$ 발생량은 뛰어난 상관관계를 보였으며, 이로부터 제어알고리듬을 작성할 수 있었다.

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스마트 건설을 위한 토공현장 디지털화 적용성 검증 (Case Study Research in Earthwork Site Digitization for Smart Construction)

  • 박재우;김석
    • 한국산업융합학회 논문집
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    • 제22권5호
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    • pp.529-536
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    • 2019
  • Recently, various efforts have been tried in the construction industry to improve productivity by applying the fourth industrial revolution technology. Among the various technologies, researches for the automation and digitization of earthworks are being carried out steadily. As the interest in the benefits of digitalization of the earthwork field has increased, there have been more cases of technology development and application for digitalization of the earthwork field. However, there is not enough case study to present the analysis results of application cases. The purpose of this study is to verify the feasibility of applying the digitization technology of the earthwork in actual worksite. In order to digitize the worksite terrain, it is required the process of field measurement, measurement data registration, earthwork information input, and analysis cell generation. Particularly, it is possible to achieve information-enabled digitization rather than digitalizing only the shape through the input of the earthwork information and the analysis cell generation. By using the digital information of the earthwork field, it is possible to visually recognize the change of the earthwork field, so that it is expected to enhance the worker 's understanding and to be highly applicable to the management work. It is expected that the digital technology of earthwork site will be able to know the precise amount of volume change of the earthwork numerically, and it will be highly applicable to construction management.