• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.919-920
• /
• 2007

Currently national High Voltage Gas Insulated Switchgear (GIS) operating mechanism is made up of spring operating mechanism or hydraulic operating mechanism. On the contrary, advanced technology trend in foreign countries replace current mechanical mechanism with electrical motor-drive mechanism that leads to participate GIS bid and increase sales with the point of simplification of driving system and IT application. Therefor it is essential to develop high voltage GIS using the motor-drive system to develop national heavy electric machine industries and catch up the technology to the advanced level. This paper therefore presents design and analysis of permanent synchronous motor for high voltage GIS, verifies the performance by the experimental test.

• Proceedings of the KIEE Conference
• /
• 2005.07b
• /
• pp.1565-1567
• /
• 2005

본 논문은 듀얼듀플렉스구조로 설계된 한국형고속철도 열차제어시스템의 전자연동장치 선로전환기제어모듈에 대하여 안전성활동 체계에 따라 위험원을 도출하고 분석하여 선로전환기제어모듈에 대한 위험측고장률을 예측하였다. 시스템으로 인해 발생할 수 있는 리스크를 분석하여 리스크를 완화하기 위한 안전대책의 수준인 안전무결성레벨에서 제시하는 정량적인 기준을 만족하기 위한 위험측고장률예측을 선로전환기 제어모듈을 대상으로 연구하였다.

• Asia pacific journal of information systems
• /
• v.10 no.4
• /
• pp.77-100
• /
• 2000

Information technology(IT) has become the fourth major resource available to executives to shape and operate government and public organizations. Government and public organizations have managed the other three major resources for years : people, money, and machine. But today IT accounts for more than 10 % of the budget spent in the Korean government and public organizations. From an information resource management point of view, therefore, data and information, hardware and software, telecommunications networks, information systems personnel and other factors are valuable resources that should be managed for the benefit of the entire organization. This paper studied on the model of information resource management(IRM) architecture for government and public organizations and suggested a new generic model for IRM. The model is consisted of four basic architectures and each architecture includes several factors that should be managed for the benefit of the entire government and public organizations.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2005.11a
• /
• pp.59-65
• /
• 2005

The research is an objective which prevents a construction noise by developing prediction program on utility, helps comprehension of construction noise by case study. The program developed with Visual Basic of the Excel Logic. The standard noise is a data with report of the construction machine (National Institute of Environmental Research), construction noise of sound pressure level applied the distance decrease of the point source. The decrease effect of the barrier noise wall used the data of 5, 10, 15, 20dB where the diffraction is reflected. used a program, case study is suggested Prevention method to prevent noise of construction site.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.20 no.10
• /
• pp.891-899
• /
• 2010

Since the working machine generates an excessive loud noise as much as its use-purpose and dimension, those damages are occurring to the exposed workers such as unpleasant sense, stress and occupational hearing-impaired. Accordingly, as one of the measures for prevention such loud noise, various soundproof protection tools were developed. However, such soundproof protection tools were presented the physical measured value only, it is real state that the psychological study result with regard to the soundproof effect which the workers are actually feeling, is not existing. On such point of view, with the object on the typical earplugs and earcaps among the soundproof protection tools, this study has ever tried a subjective evaluation about the degree of soundproof effect through Psycho-acoustics experiment. It is considering that such study result could be utilized as the useful material when establishing the soundproof measure for the workers in the future.

• Journal of the Korean Society of Industry Convergence
• /
• v.12 no.4
• /
• pp.203-208
• /
• 2009

Lacks of harmony of a person and machine according to productivity elevation pursuit is happened by enterprise common problem in Global competition age and productivity loss is caused being connected to worker's burden work. Burden work in PET bottle production Process which are arrangement, Packing, interior inspection is analyzed by Ergonomic analysis technique. REBA estimation point(10~11 points) means the high step of hazard on worker's burden. It is immediately required the improvement on the process. This thesis show you the improving methods like package, examination justice.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.394-397
• /
• 2019

센서 및 정보 통신 기술의 발전은 산업 현장에서 취득한 정보를 기반으로 다양한 연구를 수행할 수 있는 토대가 되었다. 본 연구에서는 철도의 진로 방향을 전환하는 선로 전환기 주변에 설치한 소리 센서에서 수집한 소리를 기반으로 선로 전환기의 이상 상황을 탐지하고자 한다. 이와 같은 소리 데이터 기반의 이상 상황 탐지 시스템을 실제 산업 현장에서 성공적으로 운용되기 위해서는 소리 취득 시 발생하는 다양한 잡음 환경에서도 이상 상황을 식별할 수 있는 강인함이 보장되어야 한다. 본 논문에서는 소리 음질을 향상시키기 위하여 SEGAN(Speech Enhancement Generative Adversarial Network)을 활용하며, CNN(Convolutional Neural Network)을 기반으로 선로 전환기의 이상 상황을 식별하는 시스템을 제안한다. 수집된 소리 데이터를 기반으로 제안한 시스템을 실험적으로 검증한 바 잡음에 강인한 성능을 확인하였다.

• Journal of Semiconductor Engineering
• /
• v.1 no.3
• /
• pp.88-98
• /
• 2020

As biosensors are widely used in the medical field, flexible devices compatible with live animals have aroused great interest. Especially, significant research has been carried out to develop implantable or skin-attachable devices for real-time bio-signal sensing. From the device point of view, various biosensor types such as field-effect transistors (FETs) and multi-electrode arrays (MEAs) have been reported as diverse sensing strategies. In particular, the flexible FETs and MEAs allow semiconductor engineering to expand its application, which had been impossible with stiff devices and materials. This review summarizes the state-of-the-art research on flexible FET and MEA biosensors focusing on their materials, structures, sensing targets, and methods.

• Journal of information and communication convergence engineering
• /
• v.19 no.1
• /
• pp.1-7
• /
• 2021

Reinforcement learning is an area of machine learning that studies how an intelligent agent takes actions in a given environment to maximize the cumulative reward. In this paper, we propose a new MAC protocol based on the Q-learning technique of reinforcement learning to improve the performance of the IEEE 802.11 wireless LAN CSMA/CA MAC protocol. Furthermore, the operation of each access point (AP) and station is proposed. The AP adjusts the value of the contention window (CW), which is the range for determining the backoff number of the station, according to the wireless traffic load. The station improves the performance by selecting an optimal backoff number with the lowest packet collision rate and the highest transmission success rate through Q-learning within the CW value transmitted from the AP. The result of the performance evaluation through computer simulations showed that the proposed scheme has a higher throughput than that of the existing CSMA/CA scheme.

• Nuclear Engineering and Technology
• /
• v.54 no.5
• /
• pp.1747-1753
• /
• 2022

Compton imaging is the main method for locating radioactive hot spots emitting high-energy gamma-ray photons. In particular, this imaging method is crucial when the photon energy is too high for coded-mask aperture imaging methods to be effective or when a large field of view is required. Reconstruction of the photon source requires advanced Compton event processing algorithms to determine the exact position of the source. In this study, we introduce a novel method based on a Deep Learning algorithm with a Convolutional Neural Network (CNN) to perform Compton imaging. This algorithm is trained on simulated data and tested on real data acquired with Caliste, a single planar CdTe pixelated detector. We show that performance in terms of source location accuracy is equivalent to state-of-the-art algorithms, while computation time is significantly reduced and sensitivity is improved by a factor of ~5 in the Caliste configuration.