• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.167-176
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• 2005

This paper proposes a new power minimization technique for the frame-based multimedia signal processing. The derivation of the technique is based on the newly proposed microscopic DVS(Dynamic Voltage Scaling) method, where, the operating frequency and the supply voltage levels are dynamically controlled according to the processing requirement for each frame of multimedia data. The multimedia signal processing algorithms are also redesigned and optimized to maximize the power saving efficiency of the microscopic DVS technology. The characterization of the mean/variance distribution of the processing load in the frame-based multimedia signal processing provides the major basis not only for the optimized application of the microscopic DVS technology but also for the optimization of the multimedia algorithms. The power saying efficiency of the proposed DVS approach is experimentally tested with the algorithms of MPEG-2 video decoder and MPEG-2 AAC audio encoder on the ARM9 RISC processor. The experimental results with the diverse MPEG-2 video and audio files show The average power saving efficiencies of 50$\%$ and 30$\%$, respectively. The results also agree very well with those of the analytic derivations.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.210.2-210.2
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• 2013

현재 국내의 상용화된 디지털 방식 X-선 영상장치에서 간접변환방식은 대부분 CsI를 사용하고 있으며, X-선 흡수에 의해 전기적 신호를 발생시키는 직접변환방식은 Amorphous Selenium(a-Se)을 사용한다. a-Se은 진공 중에 녹는점이 낮아 증착시 substrate의 온도에 따라 민감한 변화를 보인다. 본 연구에서는 간접변환방식에 비해 높은 영상의 질을 획득할 수 있는 직접변환방식의 a-Se기반 X-선 검출기 제작 시 substrate에 인가된 온도에 따른 특성을 연구하여 최적화 된 substrate의 온도를 알고자 한다. 본 실험에서는 glass에 투명한 전극물질인 Indium Tin Oxide (ITO)가 electrode로 형성된 substrate를 사용하였으며 그 상단에 a-Se을 Physical Vapor Deposition (PVD)방식을 거쳐 X-선 검출기 샘플을 제작하였다. PVD 공정 시 네 개의 보트에 a-Se 시료를 각각 100g씩 총 400g을 넣고, $5{\times}10-5Torr$까지 진공도를 낮추었다. 보트의 온도는 $270^{\circ}C$에서 40분 $290^{\circ}C$에서 90분으로 온도를 인가하여 a-Se을 기화시켜 증착하였다. 증착 시 substrate 온도를 각각 $20^{\circ}C$, $40^{\circ}C$, $60^{\circ}C$, $70^{\circ}C$ 네 종류로 나누어 실험을 진행하였다. 끝으로 증착된 a-Se 상단에 Au를 PVD방식으로 electrode를 형성시켜 a-Se기반의 X-선 검출기 샘플 제작을 완료하였다. 제작된 a-Se기반의 X-선 검출기 샘플의 두께는 80에서 $85{\mu}m$로 온도에 따른 차이가 없었다. 이후에 전기적 특성을 평가하기위해 electrometer와 oscilloscope를 이용하여 Dark current와 Sensitivity를 측정하여 Signal to Noise Ratio(SNR)로 도출하였으며 Scanning Electron Microscope(SEM) 표면 uniformity를 관찰하였다. 또한 제작된 a-Se기반 X-선 검출기 샘플의 hole collection 성능을 확인하고자 mobility를 측정하였다. 측정결과 a-Se의 work function을 고려한 $10V/{\mu}m$기준에서 70kV, 100mA, 0.03sec의 조건의 X-선을 조사 하였을 때 Sensitivity는 세 종류의 검출기 샘플이 15nC/mR-cm2에서 18nC/mR-cm2으로 비슷한 양상을 나타내었지만, substrate온도가 $70^{\circ}C$때의 샘플은 10nC/mR-cm2이하로 저감됨을 알 수 있었다. 그리고 substrate온도 $60^{\circ}C$에서 제작된 검출기 샘플의 전기적 특성이 SNR로 환산 시, 15.812로 가장 우수한 전기적 특성을 나타내어 최적화 된 온도임을 알 수 있었다. SEM촬영 시 온도상승에 따라 표면 uniformity가 우수하였으며, Mobility lifetime에서는 $60^{\circ}C$에서 제작된 검출기 샘플이 deep trap 수치가 높아 hole이 $0.04584cm2/V{\cdot}sec$로 $0.00174cm2/V{\cdot}sec$의 electron보다 26.34배가량 빠른 것을 확인하였다. 본 연구를 통해 a-Se증착 시, substrate에 인가된 온도는 균일한 박막의 형성 및 표면구조에 영향을 미치며 온도가 증가할수록 안정적인 전기적 특성을 나타내지만 $70^{\circ}C$이상일 시, a-Se층의 결정화가 생겨 deep trap을 발생시켜 전기적 특성이 저하됨을 확인 할 수 있었다. 따라서 증착 시의 substrate의 온도 최적화는 a-Se기반 X-선 검출기의 안전성 및 성능향상을 위해 불가피한 요소가 된다고 사료된다.

• The Journal of the Acoustical Society of Korea
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• v.42 no.4
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• pp.329-344
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• 2023

In this study, we comprehensively analyze the generalization performance of various deep learning-based active sonar target classifiers when applied to small and imbalanced active sonar datasets. To generate the active sonar datasets, we use data from two different oceanic experiments conducted at different times and ocean. Each sample in the active sonar datasets is a time-frequency domain image, which is extracted from audio signal of contact after the detection process. For the comprehensive analysis, we utilize 22 Convolutional Neural Networks (CNN) models. Two datasets are used as train/validation datasets and test datasets, alternatively. To calculate the variance in the output of the target classifiers, the train/validation/test datasets are repeated 10 times. Hyperparameters for training are optimized using Bayesian optimization. The results demonstrate that shallow CNN models show superior robustness and generalization performance compared to most of deep CNN models. The results from this paper can serve as a valuable reference for future research directions in deep learning-based active sonar target classification.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.12
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• pp.1132-1138
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• 2011

In this paper, a method for synthesizing the linear antenna array patterns with broad nulls(BN) at the interference directions is newly presented. Opposit to the conventional methods in which the weights of array elements are optimized for BN control, this method simplifies the control process for multiple BN directions and widths by optimally perturbing the zero positions inherent to Schelkunoff polynomial transformed from the array factor. It is also shown that this method can be easily applicable to the phased array antennas. The proposed scheme is numerically verified by substituting the extracted complex weights into the array factor.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.11
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• pp.1074-1080
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• 2013

The low phase noise and wideband frequency synthesizer has been designed by using YTO. Offset PLL structure is used for reducing a division ratio of feedback loop. The phase noise modeling is applied to optimize loop filter of PLL and YTO module. And DDS is used as reference signal of frequency synthesizer for fine resolution. The fabricated wideband frequency synthesizer has the output frequency of 3.2 GHz to 6.8 GHz, phase noise of -107 dBc/Hz at 10 kHz offset from the carrier and frequency resolution of 1 Hz. The measured phase noise is well agreed with the simulated one.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.9
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• pp.107-114
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• 2004

This paper presents block and timing diagrams of the DWA(Data Weighted Averaging) to optimize a feedback time delay of the sigma-delta modulator. Through the MATLAB modeling, the optimized coefficients of the integrators are obtained to design the modulator. The fully differential SC integrators, feedback DAC, 9-level quantizer, and DWA are designed by considering the nonideal characteristics of the modulator. The designed third-order multibit modulator is fabricated in a 0.35${\mu}{\textrm}{m}$ CMOS process. The modulator achieves 75dB signal-to-noise ratio and 74dB dynamic range at 1.2Vp-p 825kHz input signal and 52.8MHE sampling frequency.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.167-175
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• 2018

Despite the rapid development of IT technology, people with visual impairments still use simple forms of walking sticks and need more advanced walking aids. Smart Cane, which is developed based on Internet service and sensor, can provide high safety and convenience compared to existing sticks for visually impaired people by conveying peripheral information and walking situation to these visually impaired people through voice and vibration. In this paper, we propose and implement SmartKane to overcome lack of miniaturization, user friendly form, and sensing sensitivity, which have been pointed out as a problem of existing SmartKane.

• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.6
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• pp.78-84
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• 1998

In this paper, a fuzzy traffic controller using genetic algorithms is presented. Conventional fuzzy traffic controllers use membership functions generated by humans. However, this approach does not guarantee the optimal solution to design the fuzzy controller. Genetic algorithm is a good problem solving method requiring domain-specific knowledge that is often heuristic. To find fuzzy membership functions showing good performance, a fitness function must be defined. However it's not easy in traffic control to define such a function as a numeric expression. Thus, we use simulation approach, namely, the fitness value of a solution is determined by use of a performance measure that is obtained by traffic simulator. The proposed method outperforms the conventional fuzzy controllers.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.18 no.3
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• pp.368-374
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• 2008

Multi-axial simulation table(MAST) is widely used in motor companies as the multi-axial excitor for vibration fatigue of target component, which provides the vibrational condition as close as the vehicle test. However, the vibration fatigue performance of target component can be guaranteed with MAST system only in case the input profile covers the required severity of the target component on field test. In this paper, the signal processing for multi-axial vibration fatigue test on vehicle component is presented, from the data acquisition of the target component to the derivation of input profile. To compare the severity of vibration condition between field and proving ground, the energy principle of a equivalent damage is proposed and then, it is determined the optimal combination of special events on proving ground using a sequential searching optimal algorithm. To explain the vibration methodology clearly, seat and door component of vehicle are selected as a example.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.5
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• pp.2272-2278
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• 2011

It is essential to various evaluate about statistic character of the signal and additional noise for optimization of the optical communication system. We expressed various error probability with the m which was bandwidth and a bit numerical function and carried out performance evaluation of a PIN receiver. This research analyzed the receiving sensitivity of the PIN receiver and verified reception sensitivity through computer simulation in the optical communication system. As a result, the receiving sensitivity for PIN receiver are $9.2{\times}10^4$ photon/bit for given error probability.