• Proceedings of the KIEE Conference
• /
• 2006.07e
• /
• pp.78-80
• /
• 2006

전력계통망 및 수용가는 다양한 형태의 전력케이블 및 전력선이 연계된 분 배전망을 형성하고 있다. 특히, 이렇게 구성된 분 배전망은 하나의 전력계통으로서 연계된 전력망을 형성하고 있으며, 이를 전력선통신의 인프라로 활용할 수 있다. 최근 들어, 전력선통신 기술에 대한 연구가 활발히 진행되고 있으며, 계통에 연계된 부하와 분기선로 그리고 매질의 특성에 따라 통신환경이 달라진다. 특히 전송 주파수에 따른 신호의 감쇠, 연계된 부하의 종류와 이들 부하로 인한 잡음원의 유입 및 전송신호의 왜곡 등이 주요한 채널환경 요소이다. 본 논문에서는 상기 나열한 한계점을 극복하기 위한 대안으로 전력선 및 케이블의 매질특성을 평가하고, 이에 따른 전송신호의 영향을 분석, 연계된 다양한 부하들의 변동에 따른 통신환경의 변화 영향 그리고 통신성능에 미치는 영향을 분석하였으며, 또한 전력 케이블 및 선로의 특성과 부하변동 특성을 반영하여 구내용 전력케이블 기반의 UWB(Ultra Wide Band) 통신용 채널 환경을 모델링하는 방안을 제안하고자 한다.

• Journal of IKEEE
• /
• v.23 no.2
• /
• pp.461-468
• /
• 2019

A continuous-time Delta-Sigma ADC has various benefits; it does not require an explicit anti-aliasing filter, and it is able to handle wider-band signals with less power consumption in comparison with a discrete-time Delta-Sigma ADC. However, it inherently needs to sample the signal with a high-speed clock, necessitating a complex decimation filter that operates at high speed in order to convert the modulator output to a low-rate high-resolution digital signals without causing aliasing. This paper proposes a continuous-time Delta-Sigma ADC architecture that employs pulse-width modulation and shows that the proposed architecture lends itself to a simpler implementation of the decimation filter using a lookup table.

• The Journal of the Korea Contents Association
• /
• v.18 no.11
• /
• pp.655-664
• /
• 2018

Retina transforms the external light into electrical signal that stimulates visual cortex of the brain. Electrical modeling of the retina is useful to understand its structure and action that is a prerequisite to implement the retina as a hardware device. This paper introduces a 2-D electrical network model of vertebrate's retina considering signal pathway of retinal cells and synapses. We implemented a simulator of the retina based on the electrical network model to analyze its operation under various circumstances. Compared to the prior studies, It might contribute designing of artificial retina device in terms of that this study specifically observed input and output reactions of each cell and synapse node under various light intensity on the retina.

• Journal of IKEEE
• /
• v.23 no.3
• /
• pp.978-983
• /
• 2019

Under the influence of Autonomous Driving and AI, it is important to accurately recognize and judge objects through cameras. In particular, since a method of recognizing an object using a camera can obtain a large amount of information visually compared to other methods, many image signal processing methods have been studied to extract an accurate image. In addition, a lot of research is being carried out to implementation about hardware. In this work, we compare the principles and characteristics of the sorting algorithms that are frequently used in image signal processing and summarize the performance evaluation. Based on this, we define an efficient algorithm when implemented in hardware among efficient sorting algorithms.

• Journal of IKEEE
• /
• v.24 no.4
• /
• pp.1034-1038
• /
• 2020

In order to effectively process target recognition using radar, accurate signal information for the target is required. However, such a target signal is usually mixed with noise, and this part of the study is continuously carried out. Especially, image processing, target signal processing and target recognition for the target are examples. Since the field of target recognition is important from a military point of view, this paper carried out research on target recognition of aircraft using a tree-structured fuzzy neural networks. Fuzzy neural networks are learned by using reflected signal data for an aircraft to optimize the model, and then test data for the target are used for the optimized model to perform an experiment on target recognition. The effectiveness of the proposed method is verified by the simulation results.

• Journal of IKEEE
• /
• v.25 no.1
• /
• pp.53-63
• /
• 2021

As the types of radio equipment becomes more complex and diversified in various fields, radio interference occurs frequently. In the domestic situation where the territory is narrow, many systems are deployed in a specific highland with a good radio wave environment. Radar systems that transmit high power signals of the same band are sometimes deployed and operating at close distance. In this paper, the type of interference was classified for the actual radio wave interference phenomenon and appropriate signal interference parameters were derived. The power density of the interference signal was predicted using the analysis method and the effectiveness was verified through measurement. And, we propose a method to minimize interference by analyzing operating scenarios of interferer radar and victim radar.

• Journal of IKEEE
• /
• v.25 no.1
• /
• pp.139-147
• /
• 2021

This paper introduces an image decomposition-based deep learning method and loss function to improve low-light images. In order to remove color distortion and halo artifact, illuminance channel of an input image is decomposed into reflectance and luminance channels, and a decomposition-based multiple structural deep learning process is applied to each channel. In addition, a mixed norm-based loss function is described to increase the stability and remove blurring in reconstructed image. Experimental results show that the proposed method effectively improve various low-light images.

• The Korean Journal of Applied Statistics
• /
• v.35 no.1
• /
• pp.161-175
• /
• 2022

Oscillatory magnetic fields produced in the brain due to neuronal activity can be measured by the sensor. Magnetoencephalography (MEG) is a non-invasive technique to record such neuronal activity due to excellent temporal and fair amount of spatial resolution, which gives information about the brain's functional activity. Potential utilization of high spatial resolution in MEG is likely to provide information related to in-depth brain functioning and underlying factors responsible for changes in neuronal waves in some diseases under resting state or task state. This review is a comprehensive report to introduce statistical models from MEG data including graphical network modelling. It is also meaningful to note that statisticians should play an important role in the brain science field.

• The Journal of the Acoustical Society of Korea
• /
• v.29 no.1
• /
• pp.62-68
• /
• 2010

This paper proposes a new masking threshold adjustment strategy to improve the performance for speech signals in low bit-rate audio coding. After determining formant regions, the masking threshold is adjusted by using the energy ratio of each sub-band to the average energy of each formant. More quantization noises are added to the bands that have relatively large energy, but less distortion is allowed in spectral valley regions by allocating more bits, which reflects the concept of perceptual weighting widely used in speech coding. From the results of objective speech quality measure, we verified that the proposed method improves quality for the speech input signals compared to the conventional one.

• The Journal of the Acoustical Society of Korea
• /
• v.28 no.4
• /
• pp.336-342
• /
• 2009

A conventional Closest Point of Approach (CPA) analysis allows a non-maneuvering moving source that is radiating a constant frequency tone to be located using doppler shifted frequency measurements obtained by a stationary receiver. The original frequency, relative speed of the target, time at the CPA, and range from the CPA to the sensor are estimated by the conventional CPA. However, this paper proposes a new CPA analysis that allows the motion parameters of a target to be estimated using the bearing and frequency measurements obtained by a moving receiver that has a constant velocity. The validity of the proposed estimation scheme is confirmed through a performance analysis and simulation study.