• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.846-848
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• 1995

Recently, direct drive AC servo motor and DSP is widely used in the factory automation and related field due to the enhanced control and digital technology. In this paper, position control of direct drive AC servo motor and numerical interpolation algorithms are studied using DSP for the future applications. In the direct drived motor control, encoder pulse is divided into the quadruple pulse for the higher resolution and high speed pulse(10MHz) is used as reference for the slower speed motor control (M/T method). As for the general position control, PI controller is adapted for position control. In the trajectory tracking numerical algorithm, interpolation of straight line and curve algorithms are studied for the realization of path following capabilities of XY table. As for the DSP, ADSP 2105 is selected for the economy and performance points of view.

• 한국공작기계학회논문집
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• 제17권2호
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• pp.30-37
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• 2008

An object transport system is driven by a conveyor belt system or a magnetic levitation system. It is an indispensable device in many fields and especially it is very important in the factory automation. However, the conventional transport system can damage precision optical components by the contact force and destroy the inner structure of semiconductor by the magnetic field. The new transport system for transporting without damage is required. The ultrasonic transport system is a device that transports objects on the elastic body using ultrasonic wave. In this paper, an object transport system using the ultrasonic wave is developed for transporting precision elements without damage. Traveling waves are generated by the ultrasonic wave generator fixed in both ends of the beam. The traveling wave of the ultrasonic transport system is theoretically analyzed. Transport direction of the object is examined according to phase difference and frequency. The theoretical results are verified by experiments.

• 한국컴퓨터정보학회논문지
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• 제23권10호
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• pp.65-72
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• 2018

In this paper, we used LSTM as a method to detect abnormal behavior of motors. We fixed the high layout size to 1 and changed the range of the input values and the neural network structure to see what change in power consumption prediction. Now, as the fourth industrial revolution era, smart factories are attracting attention. All the physical actions of smart factories are done using motors. Continuous monitoring of motor malfunctions helps to detect malfunctions and efficient operation. However, it is difficult to acquire the power consumption constantly due to the influence of the noise. We have experimented with a simple experimental environment, a method of predicting similarity to input data by adjusting the range of the input data or by changing the neural network structure.

• 전자공학회논문지B
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• 제32B권11호
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• pp.1393-1404
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• 1995

For the factory automation(FA) of production or assembly lines, computer vision techniques have been widely used for the recognition and position-control of objects. In this application, it is very important to analyze characteristic features of each object and to find an efficient matching algorithm using the selected features. If the object has regular or homogeneous patterns, the problem is relatively simple. However, If the object is shifted or rotated, and if the depth of the input visual system is not fixed, the problem becomes very complicated. Also, in order to understand and recognize objects with concentric noise patterns, it is more effective to use feature-information represented in polar coordinates than in cartesian coordinates. In this paper, an algorithm for the recognition of objects with concentric circular noise-patterns is proposed. And position-conrtol information is calculated with the matching result. First, a filtering algorithm for eliminating concentric noise patterns is proposed to obtain concentric-feature patterns. Then a shift, rotation and scale invariant alogrithm is proposed for the recognition and position-control of objects uusing invariant feature information. Experimental results indicate the effectiveness of the proposed alogrithm.

• 디지털융복합연구
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• 제13권1호
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• pp.185-190
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• 2015

사물인터넷의 국내외 주요 서비스 사례를 통하여 알 수 있듯이 종래 재난, 재해 등 공공 분야와 공장 자동화 등 기업 중심의 사례가 이제는 개인에 직접적으로 영향을 미치는 B2C(Business to Consumer) 서비스가 확산되고 있다. 본 논문에서는 현재 시점에서 사물인터넷(IoT) 기반 원격 제어 및 모니터링이 가능한 탐사로봇 설계를 위한 플랫폼과 부품, 그리고 네트워크 구성 방안에 대하여 제시하였다.

• 대한조선학회논문집
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• 제36권4호
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• pp.128-136
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• 1999

이 논문은 선체 외판 자동 생산 시스템의 효과적인 구축을 위하여 기존의 객체 지향 시스템 개발 이론을 개선한 ESBD(Evolutionary Simulation Based Design)을 제안한다. 목표 시스템인 AHMS(Automated Hull-piece Manufacturing System)는 가공 이전 평후판의 입고, 선처리, 절단, 1차 곡가공, 2차 곡가공 그리고 출고에 이르는 가상화된 자동화 공정의 분산 제어 시스템으로서 ESBD에 의해 개발된다. 실시간 원격 제품 모니터링(Product Monitoring)과 제품 정보 관리(Product Data Management)를 실현하기 위하여 분산 제어 및 물류 시뮬레이션을 통한 시스템 개발을 적용한다. 실험적으로 개발된 시스템은 새로운 공장의 배치 및 설계에 기본적인 가이드 라인을 제시하는 역할도 수행한다.

• 융합보안논문지
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• 제9권1호
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• pp.11-17
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• 2009

본 연구에서는 영상센서를 이용한 상황인식 기반의 컴퓨팅 기술이 혼합된, 스쿨존 안전 관리 시스템을 제안한다. 영상센서를 통한 객체 추출과 상황 인식 기술의 조합을 통하여, 초등학교 주위에서 발생할 수 있는 여러 상황 중 초등학생의 유괴나 사고 등을 인식할 경우 모니터링 장치로 전송하여 응급상황을 관리할 수 있다. 또한 제안된 시스템은 인간의 시각을 필요로 하는 철도 건널목이나, 교통량 통계조사, 공장 자동화 시스템 등 다양한 응용분야에 활용할 수 있는 최적의 선택이라 할 수 있다.

• 지역사회간호학회지
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• 제12권1호
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• pp.239-246
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• 2001

This paper attempts to identify the occupational stress-related factors among the workers at the manufacturing industry and to provide the basic data concerning development of stress management program focused on the manufacturing industry. The subjects exhibit significantly highest level of 'the characteristics of task and participation in decision making factor'. And the mean score of 'the avoid coping strategies' was higher than 'the control coping strategies'. The main factor that affected the occupational stress responses was 'the physio-environmental factor' and it was explained 15.6% out of the total variance of the stress responses. Also, it would be explained 29% out of the total variance of the stress responses with 'the characteristics of task/participation in decision making factor', sex, social support, and 'extra-organizational stressor'. In conclusion. For developing the stress management program in workplace, 'the physical environmental factor' and 'the characteristics of task and participation in decision making factor' should be considered. Also, It should be identified the direct and indirect paths among factors that significantly related factors to the occupational stress of workers further more.

• 한국건축시공학회지
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• 제17권1호
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• pp.111-117
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• 2017

Stone powder sludge is a byproduct of the crushed aggregate industry, and most of it is dumped with soil in landfills. The disposal of stone powder sludge presents a major environmental problem. This paper investigates the effects of stone powder sludge on the fluidity, density, strength and micro-structure properties of AAC(autoclaved aerated concrete) samples. Stone powder sludge was obtained from a crushed aggregate factory in order to investigate its applicability as a substitute for quartz sand in AAC. To determine the properties of the AAC samples produced with stone powder sludge, specimens containing different foam ratios were produced. Flow value, density, compressive strength, tensile strength and flexural strength of the samples were tested, and X-ray diffraction (XRD) was performed. The test results indicated that the compressive strength of AAC specimens (F120) with stone powder sludge was higher than that of AAC specimens (Q120) with quartz sand for same foam ratio of 120%. For all XRD diagrams, a higher number of tobermorite peaks was shown for the F120 sample than for the Q120 sample, which may explain the slightly higher strength gain in the F120 sample.

• 전기학회논문지
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• 제62권1호
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• pp.21-28
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• 2013

The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.