• The Korean Journal of Physiology and Pharmacology
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• 제6권6호
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• pp.299-304
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• 2002

Calcitonin gene-related peptide (CGRP) expressing neurons are distributed widely throughout the central and peripheral nervous systems. Due to its distribution and pharmacological studies, CGRP has been implicated to be involved in anxiety, fear and depression. In this study, ${\alpha}CGRP-knockout$ mice were used to assess the consequences of removing this neuropeptide to the mice behaviors. ${\alpha}CGRP-knockout$ mice performed equally as well as wild type mice in the light-dark transition test and in the elevated plus maze test of anxiety. ${\alpha}CGRP-null$ mice behaved similarly as wild-type mice in the Porsolt swim test of depression. They also exhibited normal learning and memory in the fear conditioning tasks. It is concluded that ${\alpha}CGRP$ is not essential for mice to be able to perform these tests, despite the presence of ${\alpha}CGRP$ in the relevant regions of the brain.

• 한국CDE학회논문집
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• 제12권2호
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• pp.126-136
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• 2007

Teleconferences have been used in business sectors to reduce traveling costs. Traditionally, specialized telephones that enabled multiparty conversations were used. With the introduction of high speed networks, we now have high definition videos that add more realism in the presence of counterparts who could be thousands of miles away. This paper presents a new technology that adds even more realism by telecommunicating with hand gestures. This technology is part of a teleconference system named SMS (Smart Meeting Space). In SMS, a person can use hand gestures to manipulate meeting data that could be in the form of text, audio, video or 3D shapes. Fer detecting hand gestures, a machine learning algorithm called SVM (Support Vector Machine) has been used. For the prototype system, a 3D interaction environment has been implemented with $OpenGL^{TM}$, where a 3D human skull model can be grasped and moved in 6-DOF during a remote conversation between distant persons.

• Animal cells and systems
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• 제10권4호
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• pp.175-182
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• 2006

A new halacarid species, Agaue laeviunguis n. sp. from Youngil Bay, Pohang City, South Korea is described. In sharing the character combination of three dorsal setae on PE, lacking dorsal seta anterior to insertion of leg IV, three ventral setae on PE, female PGS adjacent to GF, telofemora devoid of fovea, well developed smooth cerotegumental lamella on all telofemora, presence of accessory process on all lateral claws, long gnathosoma, and a smooth seta on P2 in both sexes, this species resembles A. subglabra Bartsch from Australia. The species, however, is clearly distinguished from A. subglabra by its larger body, claws of tarsi II-IV without ventral pecten, and much more PGS in female. Description of proto- and deutonymphs are also provided.

• 한국실내디자인학회논문집
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• 제14권3호
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• pp.36-45
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• 2005

The aim of this study is to understand the meaning of Form drawing in which Louis 1. Kahn's principal thought is immanent through the detail analysis on design process of the Phillips Exeter Academy Library, based on his sketches and writings. The basic form is composed of three different space: one where students come together in the presence of books, another for the storage of books, and a third for reading in the light. Through the design process in the Exeter library, the basic form is maintained and it is derived from the consideration of the human activities in the library Particularly, the basic form is shaped around the idea that learning necessarily Involved two complementary activities: on the one hand, the quiet introspective act of reading, and the other, the interpersonal exchange of ideas. And the basic form plays an important role in controlling the relationship between program requirements and formal transformations in the design.

• 대한화학회지
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• 제62권3호
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• pp.187-190
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• 2018

A three-component coupling reaction of phenylacetylene, p-toluenesulfonyl azide, and water through copper catalysis is described to provide knowledge of spectroscopy and catalytic reactions and to introduce current research topics in organic chemistry for second-year undergraduate students. In the presence of stoichiometric amounts of phenylacetylene, p-toluenesulfonyl azide, and triethylamine, the reaction was performed with 4 mol% CuCl in water as the sole solvent and was completed in 1.5 h. A practical purification method and recrystallization of the crude reaction mixture resulted in the rapid isolation of the desired product with yields of 42~65%. Students characterized 4-methyl-N-(phenylacetyl)benzenesulfonamide by using melting-point determination, infrared spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy. This experimental procedure and spectroscopic data analysis will serve as a platform for students to apply classroom knowledge in practical state-of-the-art research.

• 대한인간공학회지
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• 제1권2호
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• pp.17-23
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• 1982

Application of color coding to a jack board-type display has not yet been tried. The purpose of this paper is to study the effects of color coding on a jack board-type display. Ten subjects searched 10*20 arrays of numbers for the presence or absence of a color coding. Five colors were used for the coding. Three subjects were selected among 10 subjects to repeat 11 times the above experiments. Detection time was reduced by 6.6% for the color coding condition. Three subjects did not show any results different from those in their inexperienced state, except the learning effect during repetition of the experiments. The results imply that the color coded jack board-type display may be efficient either to inexperienced subjects or to experienced subjects.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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• pp.474-478
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• 1998

A new approach for the decision feedback equalizer(DFE) based on the back-propagation neural networks is described. We propose the method of optimal structure for back-propagation neural networks model. In order to construct an the optimal structure, we first prescribe the bounds of learning procedure, and the, we employ the method of incrementing the number of input neuron by utilizing the derivative of the error with respect to an hidden neuron weights. The structure is applied to the problem of adaptive equalization in the presence of inter symbol interference(ISI), additive white Gaussian noise. From the simulation results, it is observed that the performance of the propose neural networks based decision feedback equalizer outperforms the other two in terms of bit-error rate(BER) and attainable MSE level over a signal ratio and channel nonlinearities.

• 한국산학기술학회논문지
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• 제10권3호
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• pp.542-546
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• 2009

본 논문은 신경망을 이용한 간섭 신호 제어로써 합성 다층 퍼셉트론에 입각하여 셀룰라 이동통신에서의 수신된 신호들을 역전파 학습알고리즘을 이용하여 검파하는 것에 대하여 소개하였다. 그리고 컴퓨터 시뮬레이션 결과를 통하여 co-channel간섭과 협대역 간섭의 실제 음색에서 기존에 쓰여진 Rake수신기보다 더 낮은 비트 오차 확률을 가지는 NNAC(neural network adaptive correlator)에 대하여 분석 고찰하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.228-239
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• 2022

Many countries around the world using ICT technologies have various technologies to keep pace with the 4th industrial revolution, and various algorithms and systems have been developed accordingly. Among them, many industries and researchers are investing in unmanned automation systems based on AI. At the time when new technology development and algorithms are developed, decision-making by big data analysis applied to AI systems must be equipped with more sophistication. We apply, Pearson's correlation analysis is applied to six independent variables to find out the job satisfaction that office workers feel according to their job characteristics. First, a correlation coefficient is obtained to find out the degree of correlation for each variable. Second, the presence or absence of correlation for each data is verified through hypothesis testing. Third, after visualization processing using the size of the correlation coefficient, the degree of correlation between data is investigated. Fourth, the degree of correlation between variables will be verified based on the correlation coefficient obtained through the experiment and the results of the hypothesis test

• 대한원격탐사학회지
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• 제38권4호
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• pp.435-446
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• 2022

Identifying ship types is an important process to prevent illegal activities on territorial waters and assess marine traffic of Vessel Traffic Services Officer (VTSO). However, the Terrestrial Automatic Identification System (T-AIS) collected at the ground station has over 50% of vessels that do not contain the ship type information. Therefore, this study proposes a method of identifying ship types through the Random Forest Classifier (RFC) from dynamic and static data of AIS and V-Pass for one year and the Ulsan waters. With the hypothesis that six features, the speed, course, length, breadth, time, and location, enable to estimate of the ship type, four classification models were generated depending on length or breadth information since 81.9% of ships fully contain the two information. The accuracy were average 96.4% and 77.4% in the presence and absence of size information. The result shows that the proposed method is adaptable to identifying ship types.