• 연구논문집
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• s.33
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• pp.111-122
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• 2003

The automatic assembly system of micro optical filter is a key technology in the development of optical modules with high functionality. In order to create such automatic assembly system of optical filter, we have developed the system and program capable of evaluation of $30\mum$-thick film optical filter as well as conventional optical filters performances. Moreover, we have carried out the evaluation of optical filter using developed system and program, and we have compared and analyzed them with by conventional hand work. As results, the measured performances based on the present system are more fast, precise and reliable then those of the conventional hand work. In addition to that, the system can apply for various optical collimators and filters.

• 한국균학회소식:학술대회논문집
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• 2018.05a
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• pp.22-22
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• 2018

Fungal genome sequencing and assembly have been trivial in these days. Genome analysis relies on high quality of gene prediction and annotation. Automatic fungal genome annotation pipeline is essential for handling genomic sequence data accumulated exponentially. However, building an automatic annotation procedure for fungal genomes is not an easy task. FunGAP (Fungal Genome Annotation Pipeline) is developed for precise and accurate prediction of gene models from any fungal genome assembly. To make high-quality gene models, this pipeline employs multiple gene prediction programs encompassing ab initio, evidence-, and homology-based evaluation. FunGAP aims to evaluate all predicted genes by filtering gene models. To make a successful filtering guide for removal of false-positive genes, we used a scoring function that seeks for a consensus by estimating each gene model based on homology to the known proteins or domains. FunGAP is freely available for non-commercial users at the GitHub site (https://github.com/CompSynBioLab-KoreaUniv/FunGAP).

• Journal of the Korean Society for Precision Engineering
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• v.21 no.9
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• pp.111-118
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• 2004

The automatic assembly system of micro optical filter is a key technology in the development of optical modules with high functionality. In order to develop an automatic assembly system of optical fiber and filter, we have firstly developed the system and program capable of characterization of 30${\mu}m$-thick film filters as well as conventional optical filters. Moreover, we have carried out the characterization of optical filter using the developed system and program, and compared experimental results with by conventional handwork. The measurement of optical filters using the present system is faster, more precise and more reliable than those based on the conventional handwork.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.11
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• pp.36-46
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• 1999

This paper proposes a redesign procedure for assemblability and automatic assembly of an automobile heater blower motor. According to the procedure, redesign alternatives are generated, then the alternatives are evaluated by a weighted objectives method to select one optimal redesign alternative. First, the redesign objectives are identified and the assemblability of the current motor is evaluated to decide redesign rules. Finally, the redesign variants and alternatives are generated using the redesign criteria. This information is then evaluated to select an optimal alternative, determined by weighted evaluation criteria which is established in advance.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.514-518
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• 1990

This paper describes an experimental Knowledge-Based Control System, named KBCS, for manufacturing and assembly. The KBCS of five parts and function : data-base, knowledge acquisition, optimization, and graphic monitoring. The KBCS is utilized for a FMS which is of five machine centers and automatic assembly lines. Each machine can perform almost all manufacturing functions which some difference in efficiency. Buffers store temporarily the incoming components and the outing components. Parts arrive at assembly lines after many steps of manufacturing, and the transfer path and time are determined by procedural knowledge of control systems. Nine different incoming components are set up. The total control system is expected to perform four algorithms, timing algorithm ,sequencing algorithm, penalty algorithm, and cart algorithm. The construction of controller require basic components of manufacturing systems in which knowledges are formulated on the base of the results and the repeated simulation of KBCS with graphic monitoring system. Simulation results by KBCS are compared with those by the other rules of manufacturing.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.607-608
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• 2006

This article deals the development of Agile and Intelligent Manufacturing System(AIM) for the assembly automation of a tiny ultrasonic actuator used in camera phones and PDAs. The system consists of multi-vision modules, end-effectors, a standard base frame, dispensers, jigs and modular manipulators. Subsystems are a vision system, a force control system and a virtual reality system. Experimental results show that the assembly process for the small components in the various IT applications can be realized by the AIM system.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.3
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• pp.276-282
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• 2015

This paper proposes a SMD (surface mounting device) classification method for the PCB assembly inspection machines. The package types of SMD components should be classified to create the job program of the inspection machine. In order to reduce the creation time of job program, we developed the automatic classification algorithm for the SMD packages. We identified the chip-type packages by color and edge distribution of the images. The input images are transformed into the HSI color model, and the binarized histroms are extracted for H and S spaces. Also the edges are extracted from the binarized image, and quantized histograms are obtained for horizontal and vertical direction. The neural network is then applied to classify the package types from the histogram inputs. The experimental results are presented to verify the usefulness of the proposed method.

• Nuclear Engineering and Technology
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• v.25 no.3
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• pp.424-429
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• 1993

Numeric characters are printed at the end part of nuclear fuel rod containing nuclear pellets. Fuel rods are discriminated and managed systematically by these characters in the process of producing fuel assembly. The characters are also used to examine manufacturing process of fuel rods in the survey of burnup efficiency as well as in inspection of irradiated fuel rod. Therefore automatic character recognition is one of the most important technologies in automatic manufacture of fuel assembly. In this study, character recognition system is developed. In the developed system, mesh feature extracted from each character written in the fuel rod has been compared with reference feature value stored in database, and the character is thus identified. In the result of experiment, 95.83 percent recognition rate is achievable.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.221-221
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• 1994

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.317-321
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• 1989

The FIC(Flat Integrated Circuits)is widely used for good productivity but very difficult for visual identification. The required position tolerance is 0.05mm and orientation tolerance is 0.25 degree for assembly. The research was performed to detect FIC defects and to estimate the placement of FIC within the tolerances. In this study an automatic visual system is developed, which can successfully perform a fine assembly operation using the cartesian robot.