신해철 또는 한국 팝의 지리학 8090

신현준 ( Hyun Joon Shin ) 영미문학연구회 2015 안과 밖 Vol.0 No.38

The untimely death of Shin Hae-chul (b. 1968) in 2014 is an incident whose full significance we have yet to grasp. After spending his teenager days as a rock kid in Dobong district of Seoul during the 1980s, shin became a succesful pop star in the late 1980s. Then he formed N.ex.T, one of the most influential rock bands in the mid-1990s. From then on, he also positioned himself as a spokesman of liberal politics through his critique of South Korean society. This paper traces Shin’s geographic mobility and decodes the meanings of different places in Seoul (Jongro, Yeouido, and Gangnam) and London where he had studied music. By examining his practices in different places, the paper highlights the moments of his struggles in popular music and beyond. Shin Hae-chul’s creativity lies in the communicative value and intensity of his performance.

CW 도플러 레이더를 이용한 모니터링 시스템 구현

신현준,한병훈,최두헌,오창헌,Shin, Hyun-Jun,Han, Byung-Hun,Choi, Doo-Hyun,Oh, Chang-Heon 한국정보통신학회 2015 한국정보통신학회논문지 Vol.19 No.12

본 논문에서는 기상 제약이 많은 CCTV 보완을 위해 CW 도플러 레이더를 사용하는 감시 시스템에서 두 개 이상의 물체 접근 또는 이탈 정보를 감지하기 위한 모니터링 프로그램을 개발하였으며, 물체의 접근 또는 이탈 정보를 효율적으로 감지하기 위한 알고리즘을 제안하였다. 제안하는 알고리즘은 CW 도플러 레이더에서 수신한 신호를 FFT 처리하여 실수부와 허수부로 분리 후 각 동일 주파수 마다 진폭을 합산하여 이들의 위치를 통해 접근 또는 이탈을 판단하는 방식이다. 이를 시뮬레이션 및 실험을 통해 검증하였으며, 두 개 물체의 접근 또는 이탈을 감지한 결과 정상적으로 감지하는 것을 확인할 수 있었다. The CCTV is limited by weather conditions. To overcome this limitation, we develop a monitoring program that can sense the approach or recede of two or more objects within a surveillance system that uses a continuous-wave (CW) Doppler radar, and we proposed an algorithm to efficiently detect the approach or recede information of the object. The proposed algorithm separates the signal received by the CW Doppler radar into the real and imaginary parts using Fast Fourier Transform (FFT), and sums the amplitudes for each frequency to determine whether the objects are approaching or receding, using their locations. The algorithm is verified by simulations and experiments, which confirms that it successfully detects the approach or recede of two objects.

Termosyphon의 지열채열 성능에 관한 고찰

신현준,서정윤,Shin, H.J.,Seo, J.Y. 대한설비공학회 1993 설비공학 논문집 Vol.5 No.3

Thermosyphons are simple devices that can passively transport thermal energy over relatively large distance with little temperature degradation. Especially, the thermosyphon system requires no costly energy input and is completely maintenance free. These attributes permit the use of low grade thermal energy for thermal control of structures including the stabilization of highway foundations. This paper presents the experimental results of the snow melting system in which thermosyphon was utilized to ransfer the earth energy to the pavement to remove snow and ice. The test facility, three earth heated and one unheated test panels, is designed to investigate the variables associated with removing snow and ice from pavement surfaces. The results of these test show that the earth heated panel surface temperature is higher $2{\sim}6^{\circ}C$ than unheated panel when the ambient air temperature is $-7^{\circ}C$. The thermal performance of this earth source thermosyphon system for road heating showed that there was no snow on the heated test panels when the snowfall was 5cm average for the region.

제조 현장의 비정상 데이터 분류를 위한 기계학습 기반 접근 방안 연구

신현준,오창헌,Shin, Hyun-Juni,Oh, Chang-Heon 한국정보통신학회 2017 한국정보통신학회논문지 Vol.21 No.11

The manufacturing facility is generally operated by a pre-set program under the existing factory automation system. On the other hand, the manufacturing facility must decide how to operate autonomously in Industry 4.0. Determining the operation mode of the production facility itself means, for example, that it detects the abnormality such as the deterioration of the facility at the shop-floor, prediction of the occurrence of the problem, detection of the defect of the product, In this paper, we propose a manufacturing process modeling using a queue for detection of manufacturing process abnormalities at the shop-floor, and detect abnormalities in the modeling using SVM, one of the machine learning techniques. The queue was used for M / D / 1 and the conveyor belt manufacturing system was modeled based on ${\mu}$, ${\lambda}$, and ${\rho}$. SVM was used to detect anomalous signs through changes in ${\rho}$. 스마트 공장은 미리 입력된 프로그램에 의해 생산시설이 수동적으로 움직이는 공장 자동화 작업 방식과는 달리, 생산 설비 스스로 작업 방식을 결정하여야 한다. 생산 설비 스스로 작업 방식을 결정이라 함은, 이를테면 제조 현장에서 설비의 노후, 문제 발생 예측, 제품의 불량 검출 등과 같은 이상 징후가 발생할 시 이를 조기에 발견한 후 스스로 문제를 해결하는 것을 의미한다. 본 논문에서는 제조 현장의 제조 공정 이상 징후 감지를 위해 대기행렬을 이용한 제조 공정 모델링을 제시하고 해당 모델링에서 이상 징후를 기계학습 기술 중 하나인 SVM을 이용하여 이를 감지하도록 한다. 해당 대기행렬을 M/D/1을 사용하였으며, ${\mu}$, ${\lambda}$, ${\rho}$를 기반으로 컨베이어 벨트 제조 시스템을 모델링하였다. SVM을 이용하여 ${\rho}$의 변화량을 통해 이상 징후를 감지했다.

광전자 분광현미경학

신현준,Shin, Hyun-Joon 한국진공학회 2016 진공 이야기 Vol.3 No.4

The need of space-resolved x-ray photoelectron spectroscopy (XPS) has developed scanning photoelectron microscopy (SPEM). SPEM provides space-resolved XPS data from a spot of a sample as well as images of specific element, chemical state, valency distribution on the surface of a sample. Based on technical advancement of tight x-ray focusing, sample positioning accuracy, and electron analyzer efficiency, SPEM is now capable of providing ~100 nm space resolution for typical XPS functionality, and SPEM has become actively applied for the investigation of chemical state, valency, and electronic structure on the surface of newly discovered materials, such as graphene layers, dichalcogenide 2D-materials, and heterogenous new functional materials.

수정 BIN법에 의한 건물에너지해석 프로그램 개발

신현준,Shin Hyun Joon 대한설비공학회 1987 설비저널 Vol.16 No.5

침사기능 콘크리트 배수로의 유사 유출 저감에 관한 연구

신현준,원철희,최용훈,김태유,최중대,Shin, Hyun-Jun,Won, Chul-Hee,Choi, Yong-Hun,Kim, Tae-Yoo,Choi, Jung-Dae 한국농공학회 2010 한국농공학회논문집 Vol.52 No.6

Researchers developed Sediment Trap Drain Channel (STDC) as a solution of the reduction of soil erosion and muddy runoff from a alpine field. The STDC is the one that can take a role of grit chamber by installing the shield made of woods in the concrete channel. The study was conducted 8 kinds of stages according to the amount of soil loss and the inflow. Evaluation factors were ss concentration, turbidity and reduced soil. The results of study showed lessness of ss concentration and turbidity from the lower spot than the upper spot. The average reduction rate of ss concentration was 74 % and the average reduction rate of turbidity was 62 %. It was turned out that the performance related soil loss and muddy runoff of the STDC is effective. The governance was needed to expect the effectiveness of the STDC.

지열에너지의 유효이용을 위한 고찰

신현준,안철홍,조정식,Shin, H.J.,Ahn, C.H.,Cho, C.S. 대한설비공학회 1995 설비저널 Vol.24 No.4

동적 재구성 환경에서 교착상태를 예방하기 위한 오차 시간 메시지 브로드캐스트 기법 연구

신현준,김성진,오창헌,Shin, Hyun-Jun,Kim, Sung-Jin,Oh, Chang-Heon 한국정보통신학회 2016 한국정보통신학회논문지 Vol.20 No.11

산업 4.0 이전의 많은 제조 방식들이 단순히 생산 라인의 단점을 극복하는 것이 목적이라면, 산업 4.0은 생산 설비 스스로 작업 방식을 결정하여야 한다. 이러한 과정 속에서 FMS, AMS, MAS 등의 제조 방식들이 발전하여 왔으나, 이러한 제조방식들은 기계, agent, 자원 공유 등의 이유로 교착상태가 발생할 수 있다. 이를 해결하기 위해 여러 연구가 진행되어 왔지만, 사람의 개입으로 인해 제조 방식이 동적으로 재구성되는 상황에서 발생되는 교착상태를 방지하는 연구는 미비하다. 본 논문에서는 동적으로 재구성되는 상황의 모델을 제시하며, 이러한 상황에서 발생하는 교착상태를 방지하는 기법을 제안한다. 제안하는 기법은 사람이 개입한 기계의 제조 시간이 변경될 경우 주변 기계들에게 오차 시간 메시지를 브로드캐스트함으로써 생산 제조 시간을 조절한다. 이를 통해 생산 라인의 상황이 변화하더라도 교착상태는 방지할 수 있을 것이라 예상된다. Before Industry 4.0, a purpose of manufacturing processes is simply overcoming the weakness of product line. However, Industry 4.0 should determine its method of work of facilities' own accord. Manufacturing processes such as FMS, AMS, MAS have been developed in these procedures, but there are possibilities of deadlock that can be happened for the reason of machine, agent or resource sharing. There were many studies to solve this problem. However, studies about prevention of deadlock happened in the situation that manufacturing processes are reconfigured dinamically because of human's intervention are incomplete. This paper proposes the model of the situation reconfigured dinamically and the method to prevent the deadlock in this situation. The proposed method adjusts production and manufacturing time by broadcasting time error messages to machines around when the manufacturing time of machine intervened by human is changed. Through this, it is anticipated to prevent the deadlock if conditions of the product line are changed.

SVM을 이용한 TFT-LCD 모듈공정의 불량 진단 방안

신현준,Shin, Hyun-Joon 한국반도체디스플레이기술학회 2010 반도체디스플레이기술학회지 Vol.9 No.4

Fast incipient fault diagnosis is becoming one of the key requirements for economical and optimal process operation management in high-tech industries. Artificial neural networks have been used to detect faults for a number of years and shown to be highly successful in this application area. This paper presents a novel test technique for fault detection and classification for module process of TFT-LCD manufacture using support vector machines (SVMs). In order to evaluate SVMs, this paper examines the performance of the proposed method by comparing it with that of multilayer perception, one of the artificial neural network techniques, based on real benchmarking data.