• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2002.10a
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• pp.231-234
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• 2002

This thesis is to introduce development process and application for domestic production of Automation System for High Density and Perpendicular Storage used in the industrial field. Most of the traditional Automation Systems for High Density and Perpendicular Storage are imported and using in the industrial field. As a result of this condition, foreign competitive power is decreased cause increasing of production cost. In spite of economical burden to protect a loss with management in the case of the industrial field dealing with various products, imported Automation System for High Density and Perpendicular Storage is used. On this developed Automation System for High Density and Perpendicular Storage solved these problems. Developed system uses managing computer, it is easy to manipulate input and output of production and inventory management. Moreover, Developed system accomplished shortened driving time and mechanical safety.

• Wind and Structures
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• v.1 no.2
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• pp.161-174
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• 1998

Wind forces on structures are usually schematized by the sum of their mean static part and a nil mean fluctuation generally treated as a stationary process randomly varying in space and time. The multi-variate and multi-dimensional nature of such a process requires a considerable quantity of numerical procedures to carry out the dynamic analysis of the structural response. With the aim of drastically reducing the above computational burden, this paper introduces a method by means of which the external fluctuating wind forces on slender structures and structural elements are schematized by an equivalent process identically coherent in space. This process is identified by a power spectral density function, called the Generalized Equivalent Spectrum, whose expression is given in closed form.

• Journal of Sasang Constitutional Medicine
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• v.14 no.3
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• pp.167-173
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• 2002

Insomnia is a temporary or continuous condition in which one has difficulty sleeping, due to physical impediments or physical problems. Because insomnia does harms to a labor power or imposes mental and physical burden on a patient, we should pay attention to this disease. This case is about a patient who was 62 years old man with a chronic insomnia since 1996, inspite of no past history about psychical disease. He had sufferred from a cerebral infarction and hypertension since March. 2002. and was hospitalized in Sangji University korean medicine hospital, 25. June. 2002. This patient had been treated by herb-med, Yanggyuksanhwatang for 4 weeks and showed an improvement. This paper describes the process and contents about the patient was cured.

• Journal of electromagnetic engineering and science
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• v.8 no.1
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• pp.34-39
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• 2008

An RF front-end dual-conversion receiver for $3{\sim}5\;GHz$ MB-OFDM UWB systems is implemented in $0.18\;{\mu}m$ CMOS technology. The receiver includes a two-stage UWB LNA, an RF mixer, an IF I/Q mixer, and a frequency synthesizer. The proposed receiver adopts the dual-conversion architecture to mitigate the burden of design of the frequency synthesizer. Accordingly, the proposed frequency synthesizer generates four LO tones from only one VCO. The receiver front-end achieves power gain of 16.3 to 21 dB, NF of 7 to 7.6 dB over $3{\sim}5\;GHz$, and IIP3 of -21 dBm, while consuming 190 mW from a 1.8 V supply.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.3
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• pp.612-619
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• 2011

Satellite navigation system such as GPS is becoming more important infrastructure for positioning, navigation and timing. But satellite navigation system is vulnerable to interferences because of the low received power, complementary navigation system such as eLoran is needed. In order to develop eLoran/GPS navigation system, integrated eLoran/GPS navigation algorithm is necessary. In this paper, new integrated eLoran/GPS navigation algorithm is proposed. It combines the position domain integration and the range domain integration to get accurate position with less computational burden. Also an eLoran/GPS evaluation platform is designed and performance evaluation of the proposed algorithm using the evaluation platform is given. The proposed algorithm gives an accuracy of the range domain integration with a computational load of the position domain integration.

• Journal of Electrical Engineering and Technology
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• v.8 no.4
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• pp.744-751
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• 2013

In this paper, Secant method is proposed to solve multi area economic dispatch (MAED) problem. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators. Here, Secant method is applied to solve the CED problem. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.2090-2091
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• 2007

We investigated the characteristics of transformer type SFCL with neutral line. The transformer type SFCL having neutral line has achieved the simultaneous quench because the secondary winding has acted as parallel reactor. The fault current of SFCL was limited according to ratio of turn number between primary and secondary windings. Therefore, the power burden of superconducting element can be reduced by reduction of ratio of turn number between primary and secondary windings. As a result, we could expect reduction of it's volume in the transformer type SFCL.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.4
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• pp.696-705
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• 1997

This paper presents an efficient adaptive predistortion technique compensating linear and nonlinear distortions caused by high-power amplifier (HPA) with memory in OFDM systems. The efficient adaptive data predistortion techniques proposed for compensation of HPA with memory in single carrier systems cannot be applied to OFDM systems since the possible input levels for HPA is infinite in OFDM systems. Also, previous adaptive predistortion techniques, based on Volterra series modeling, are not suitable for real-time implementation due to high computational burden and slow convergence rate. In the proposed approach, the memoryless HPA preceded by a linear filter in OFDM systems is modeled by the Wiener system which is then precompensated by the proposed adaptive predistorter with a minimum number of filter taps. An adaptive algorithm for adjusting the proposed adaptive predistorter is derived using the stochastic gradient method. It is demonstrated by computer simulation that the performance of OFDM system suffering from nonlinear distortion can be greatly improved by the proposed efficient adaptive predistorter using a small number of filter taps.

• Journal of the Korean Solar Energy Society
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• v.31 no.4
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• pp.122-127
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• 2011

A bee venom is very useful and expensive medical resource. A bee venom collector has some difficulties and inconveniences because of its complex component. This is used normal battery as an electric power. However, using the solar cell of the bee venom collector reduces economic burden and guarantees high efficiency. We have performed comparative experiment between the bee venom collector to use battery and the one to use solar cell(polycrystalline silicon) by collecting the bee venom simultaneously. At the same electricity, the electric frequency(AC),312 Hz is more superior than 450Hz. This paper verified through the experiments that the bee venom collector to adopt solar cell is more effective than normal collector.

• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.151-156
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• 2021

Low-end IoT devices do not have enough computation and memory resources for DNN learning and inference. Integer quantization of real-type neural network models can reduce model size, hardware computational burden, and power consumption. This paper describes the design and implementation of a web-based quantization platform for CNN deep learning accelerator chips. In the web service platform, we implemented visualization of the model through a convenient UI, analysis of each step of inference, and detailed editing of the model. Additionally, a data augmentation function and a management function of files that store models and inference intermediate results are provided. The implemented functions were verified using three YOLO models.