• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1998년도 춘계학술대회 논문집
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• pp.125-128
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• 1998

The electro-optical properties of PDLCs ( Polymer Dispersed Liquid Crystals ) that have been interested for applications to projection display devices lately are significantly improved. For this improvement, we optimized not only the material parameters of liquid crystal and polymer but also the process conditions. Using TL series liquid crystals and polymer PN393 provided from Merck, we obtained the optimized process conditions such as cell gap, LC concentration, curing temperature and curing time. Under these conditions, we have achieved PDLC cells of threshold voltage 2.6V. contrast ratio 260 and negligible hysteresis.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2004년도 하계학술대회 논문집 Vol.5 No.1
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• pp.130-133
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• 2004

The characterization of interdigitated capacitors was investigated. The test structures are manufactured by low temperature co-fired ceramic(LTCC) process and their s-parameters were measured. The optimized equivalent circuit models for test structures were obtained using the partial element equivalent circuit(PEEC) method. Predictive modeling was performed on different test structures using optimized parameters to verify the circuit models. From this result, the manufacturability on the process can be improved through the predictive modeling for the characteristics of interdigitated capacitors.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2005년도 하계학술대회 논문집 Vol.6
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• pp.93-94
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• 2005

Cu metallization using electrochemical plating(ECP) has played an important role in back end of line(BEOL) interconnect formation. In this work, we studied the optimized copper thickness using Bottom-up Gap-fill in Cu ECP, which is closely related with the pattern dependencies in Cu ECP and Cu dual damascene process at 0.13 ${\mu}m$ technology node. In order to select an optimized Cu ECP thickness, we examined Cu ECP bulge, Cu CMP dishing and electrical properties of via hole and line trench over dual damascene patterned wafers split into different ECP Cu thickness.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.229-230
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• 2022

With the development of digital technology, construction companies at home and abroad are in the process of computerizing work and site information for the purpose of improving work efficiency. To this end, various technologies such as BIM, digital twin, and AI-based safety management have been developed, but the accuracy and completeness of the related technologies are insufficient to be applied to the field. In this paper, the learning data that has undergone a pre-processing process optimized for recognition of construction information based on structural members is trained on an existing artificial intelligence model to improve recognition accuracy and evaluate its effectiveness. The artificial intelligence model optimized for the structural member created through this study will be used as a base technology for the technology that needs to confirm the safety of the structure in the future.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권1호
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• pp.156-161
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• 2017

This work presents a novel structure for junction-less tunneling field effect transistor (JL-TFET) with a floating gate over the source region. Introduction of floating gate instead of fixed metal gate removes the limitation of fabrication process suitability. The proposed device is based on a heavily n-type-doped Si-channel junction-less field effect transistor (JLFET). A floating gate over source region and a control-gate with optimized metal work-function over channel region is used to make device work like a tunnel field effect transistor (TFET). The proposed device has exhibited excellent ID-VGS characteristics, ION/IOFF ratio, a point subthreshold slope (SS), and average SS for optimized device parameters. Electron charge stored in floating gate, isolation oxide layer and body doping concentration are optimized. The proposed JL-TFET can be a promising candidate for switching performances.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.322-324
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• 2005

In this paper, we introduce the advanced Self-Organizing Fuzzy Polynomial Neural Network based on optimized FPN by evolutionary algorithm and discuss its comprehensive design methodology involving mechanisms of genetic optimization, especially genetic algorithms (GAs). The proposed model gives rise to a structurally and parametrically optimized network through an optimal parameters design available within Fuzzy Polynomial Neuron(FPN) by means of GA. Through the consecutive process of such structural and parametric optimization, an optimized and flexible the proposed model is generated in a dynamic fashion. The performance of the proposed model is quantified through experimentation that exploits standard data already used in fuzzy modeling. These results reveal superiority of the proposed networks over the existing fuzzy and neural models.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.341-346
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• 2006

This paper provides the resuIts on the evaluation of dynamic characteristics of the optimized shells. Five fundamental technologies such as computer-aided geometric design, automatic mesh generation, shell finite element, design sensitivity analysis and shell optimization process, are used for shell optimization maximizing the fundamental natural frequency. A dome shell is adopted for the shell shape optimization and the dynamic characteristic of the optimized shell such as the variation of natural frequencies is then investigated. From the investigation, more constraint functions related to shell natural frequencies is necessarily required to effectively control dynamic characteristics of the optimized shells.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1036-1041
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• 2007

In this paper, we studied the optimized design of roof structure to be separable roof structure. Also, the design have to satisfy with the GM/RT 2100' missile protection tests to verify the safety of railway vehicle structure. The separable roof structure design could have easier assembly process than whole roof structure in case of the interior outfitting and so on. Optimized design have to have as good as whole roof structure about results from the structure analysis. We studied separable roof structure to be optimized along with GM/RT 2100. The separable roof structure showed that the results have the same level of structure analysis

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.646-651
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• 2008

Bolts and nuts are widely used to fasten each mechanical part together in the machines and structures as vital elements. The primary role of bolts and nuts is keeping its axial force against the large external force and vibration. In this study, a lock nut using a spring was developed to maintain axial force. When the lock nut was made, crack occurred in the process of manufacturing the lock nut. Thus, optimized structure of lock nut was found by using the design of experiments. Lastly, the prototype of the optimized lock nut was created, and then the optimization result was verified by comparing results of the initial model and optimized model.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.1070-1075
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• 2004

Many mid-sized companies in Korean automotive industry have attempted to solve the lack of human power, to control the quality of components, to improve the production rate, and to innovate the manufacturing line. The goals of this study are to analyze the production rate of an automotive component manufacturing line using simulation software, to construct a Flexible Automation Subassembly (FAS) system and to suggest an optimized layout design using FAS line. In this research, the simulation model for manufacturing line was developed and used the realistic data (production planning, component type, working order, process time, queue time, line rules, etc) of a medium sized company in Korean automotive industry. To complete this research, a simulation software 'ARENA' was used.