• 한국생산제조학회지
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• 제22권3호
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• pp.402-407
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• 2013

In this paper, the image processing for flexible disk grinding and the effect of the grinding conditions on the flat zone length of a workpiece are investigated, with the purpose of automating the grinding process. To accomplish this, three issues should be carefully studied. The first is finding the relationship between the flat zone length and the grinding conditions such as the cutting speed and feeding speed. The second is developing a neural network algorithm to predict the flat zone. The third is developing an image processing algorithm to measure the flat zone length of a workpiece. Slope analysis is used to determine straight and curved sections during the image processing. For verification, the estimated length and the length from the image processing are compared with the length measured by a projector. There is a minimum difference of 1.7% between the predicted and measured values. The results of this paper will be useful in compiling a database for process automation.

• 한국생산제조학회지
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• 제26권1호
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• pp.74-81
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• 2017

A crane is typically used as a means to lift and load equipment or materials. A surface vessel uses a towed object for underwater activity. Such a mechanism for dropping and lifting of equipment is necessary, and is called an overboarding unit. The present study is focused on the overboarding unit used for a crane structure. This paper deals with new overboarding mechanism design and GA-based $MATLAB^{(R)}$ optimization. By using a quadrilateral link mechanism, it is possible to set the constraint function for optimizing the GA method. The optimization with $MATLAB^{(R)}$ is followed by the $SolidWorks^{(R)}$ simulation and verification. When applying the proposed mechanism, the operator is expected to have a big advantage in safety and efficiency of operations. Furthermore, the technology developed in this study will be helpful in similar circumstances and in the proposed mechanism.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.258-259
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• 2006

국내외적으로 전력산업분야의 가장 큰 화두중 하나는 변전소 단위의 디지털화이며 특히 국외에서는 국제표준 변전자동화 시스템 연구와 제품개발 등에 인력을 집중 투자하고 있다. 국제적으로 지금까지 축적된 변전소 관련 제반 기술력 및 경험 둥을 바탕으로 전 세계적으로 단일화시키고 표준화된 변전소 자동화 규격인 IEC 61850 (Communication networks and systems in substations) 규격이 제정되었으며 따라서 향후 전력 관련 기업은 시스템 엔지니어링 기술, 전력기기 공급능력, 유지/보수/운영기술 등을 종합적으로 보유하고 자산 및 위험관리를 종합적으로 제공할 수 있어야만 세계시장에서 생존할 수 있다. 또한 전력기기를 수출하는 국내업체는 향후 IEC(International Electrotechnical Commission) 등 국제표준에 따른 전력설비를 개발하지 않으면 수출경쟁력을 잃게 될 것이다. 이러한 세계화 추세에 발맞추어 한국전력공사와 관련 업체들은 공동으로 2005년 10월부터 6년의 기간으로 "디지털 기술기반의 변전소 자동화 시스템 개발" 사업을 진행 중에 있으며 특히 한국전력공사는 변전자동화 시스템의 성능검증 및 실증시험 절차를 구축하기 위한 과제를 수행 중이다.

• Journal of Construction Engineering and Project Management
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• 제2권4호
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• pp.11-19
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• 2012

Construction supply chain management (CSCM) has become one of the critical factors that determine the success of a construction project as it becomes increasingly complicated and mega-sized. Particularly for high-rise or mega-sized building construction, just-in-time supply chain management is required due to lack of storage space and effective logistics for construction components and materials at a construction site. Despite the fact that research and development of radio frequency identification (RFID) and wireless sensor network (WSN) technology have been performed, construction project managers still need to carry mobile devices and check material and component flow at each stage of the supply chain process. This research proposes that the equipment used in the construction supply chain process, such as movers, trailers, gates, and hoists, can become main actors in the supply chain process using RFID and WSN technologies. And the proposed equipment and process focused on a solution to the redundancy identification problem, which has been observed in operations that use RFID/WSN-based processes for construction logistics. This paper also presents issues identified through verification and validation of the research results and proposes further studies.

• 한국자동차공학회논문집
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• 제21권5호
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• pp.40-46
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• 2013

Automatic swing door for an automotive application is considered. The equation of motion for a driver side swing door is introduced and gravity cancellation control scheme is adapted. The control scheme supposed to cancel the moment due to the tilt of the car. A speed control is suggested for door operation automation but the output of the speed control is not suppose to be precise as for the manufacturing system control. In the frame of the velocity control of the door, feedback linearization was applied for collision detection. The collision detection performance is satisfactory. The estimate of the magnitude of disturbance due to the collision is close to the actual magnitude of disturbance. Simulation study has been performed to gain insight into the system behavior. Also real test on the prototype hardware has been performed for verification purpose.

• International Journal of Control, Automation, and Systems
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• 제6권4호
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• pp.477-487
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• 2008

This paper proposes a new position sensorless drive for brushless DC (BLDC) motors. Typical sensorless control methods such as the scheme with the back-EMF detection method show high performance only at a high speed range because the magnitude of the back-EMF is dependent upon the rotor speed. This paper presents a new solution that estimates the rotor position by using an unknown input observer over a full speed range. In the proposed method, a trapezoidal back-EMF is modelled as an unknown input and the proposed unknown input observer estimating a line-to-line back-EMF in real time makes it possible to detect the rotor position. In particular, this observer has high performance at a low speed range in that the information of a rotor position is calculated independently of the rotor speed without an additional circuit or complicated operation process. Simulations and experiments have been carried out for the verification of the proposed control scheme.

• Journal of Power Electronics
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• 제15권1호
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• pp.268-277
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• 2015

In this paper, a dual-converter three-phase pulse width modulation (PWM) rectifier based on unbalanced one-cycle control (OCC) strategy is proposed. The proposed rectifier is used to eliminate the second harmonic waves of DC voltage and distortion of line currents under unbalanced input grid voltage conditions. The dual-converter PWM rectifier employs two converters, which are called positive-sequence converter and negative-sequence converter. The unbalanced OCC system compensates feedback currents of positive-sequence converter via grid negative-sequence voltages, as well as compensates feedback currents of negative-sequence converter via grid positive-sequence voltages. The AC currents of positive- and negative-sequence converter are controlled to be symmetrical. Thus, the workload of every switching device of converter is balanced. Only one conventional PI controller is adopted to achieve invariant power control. Then, the parameter tuning is simplified, and the extraction for positive- and negative-sequence currents is not needed anymore. The effectiveness and the viability of the control strategy are demonstrated through detailed experimental verification.

• 한국컴퓨터산업학회논문지
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• 제6권3호
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• pp.529-538
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• 2005

AUML(Agent Unified Modeling Language)은 에이전트 소프트웨어 시스템의 명세화, 시각화, 생성을 목적으로 하는 언어이다. 본 연구에서는 소프트웨어의 복잡화, 대형화 추세에 자동화 응용 프로그램 생성 시스템들 중의 하나인 Together를 Agent의 BDI에 응용시키고 이를 컴포넌트 시스템의 상호 운영성에 대하여 고찰한다. 상호 운용성은 컴포넌트간의 데이터 교환에 의해 이루어지며 컴포넌트의 타입이 다르더라도 서로 협력할 수 있는 표준 명세서(FIPA:Foundation for Inteligent Physical Agent)를 기반으로 ACL 메시지, 그리고 프로토콜을 사용하며 이를 객체지향 모델링을 통한 메타모델기반 등을 이용하여 구현 시 오류를 최소화하는 방법과 정확성과 일관성에 관하여 연구한다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권2호
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

• 한국건설관리학회논문집
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• 제23권1호
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• pp.106-112
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• 2022

적층제조(AM, 3D프린팅) 기술은 건설업계에서 다양한 효과로 주목받고 있다. 특히 시공자동화, 자원관리, 시공기간 정밀도 향상, 작업자 안전 등의 문제점을 해소하는 능력을 기대하고 있다. 하지만, 적층 시공 과정은 축적된 데이터가 많은 기존 시공기술과 달리 성숙하지 못한 절차 및 시공방법으로 인해 시행착오와 예측이 어려운 사고를 유발한다. 본 연구에서는 현장 시공형 건설 AM 프로세스를 설계하고 실증을 위한 실험이 진행된다. 또한, 정성적인 실험결과의 원인 분석이 진행되었다.