• Title/Summary/Keyword: Small-signal

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A Study on the Digital Filter Design using Software for Analysis of Observation Data in Radio Astronomy (전파천문 관측데이터 분석을 위해 소프트웨어를 이용한 디지털필터 설계에 관한 연구)

  • Yeom, Jae-Hwan;Oh, Se-Jin;Roh, Duk-Gyoo;Oh, Chung-Sik;Jung, Dong-Kyu;Shin, Jae-Sik;Kim, Hyo-Ryoung;Hwang, Ju-Yeon
    • Journal of the Institute of Convergence Signal Processing
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    • v.16 no.4
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    • pp.175-181
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    • 2015
  • In this paper, we propose a design method for a digital filter using software in order to analyze the radio astronomy observation data. Recently the analysis method for radio astronomy observing system is transferring from hardware to software by developing of state-of-the-art of computer system. The existing hardware system is not able to easily change the specification because it is implemented to meet special requirements and it takes a high cost and time. In case of software, however, it has an advantage to implement with small cost if open software is used, and flexibly changes to satisfy the desired specification. But, in order to analyze the massive data like radio astronomy with software, the good performance system is needed for computer. Therefore, this paper proposes a digital filter design method using software with the same performance as that of digital filter implemented with hardware in observation system which is operated by the KVN(Korean VLBI Network). To design a digital filter, the proposed method is performed with standard C language and the simulation is conducted with GNU(GNU's Not Unix) Octave and investigated to show its effectiveness. In addition, for the high speed operation of the designed digital filter, the SSE(Streaming SIMD Extensions) library is adopted for available parallel operation. By the proposed digital filter, the digital filtering is performed for the wide band observation data in the KVN observation mode, the filtering result of narrow band observation has no ripple inside of stop band, and confirmed the effectiveness of the proposed method.

Integrated Photonic Microwave Bandpass Filter Incorporating a Polymer Microring Resonator (폴리머 마이크로링 공진기를 이용한 광학적 마이크로웨이브 대역통과 필터)

  • Chin, Won-Jun;Kim, Do-Hwan;Song, Ju-Han;Lee, Sang-Shin
    • Korean Journal of Optics and Photonics
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    • v.16 no.5
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    • pp.469-475
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    • 2005
  • An integrated photonic microwave bandpass filter has been proposed and demonstrated incorporating a coherently coupled microring resonator in low-loss polymers. The proposed device may feature compact site, simple structure, tuning via the thermooptic and electrooptic effect, and flexible integration with other electrical and optical devices. The resonator was designed to have an extremely small bandwidth so that it could be used to selectively pass the optical signal carrying the microwave signal to attain efficient bandpass filtering. We made and tested two resonators with a single ring and double rings, and performed a theoretical fitting of their measured transfer curves to predict the performance of the microwave filters based on them precisely. It was found that as the number of the rings used for the resonator increases, the bandwidth gets smaller, the rolloff sharper, and the band rejection higher. Finally our filter exhibited the center frequency of 10GHz, the 3-dB bandwidth of 1.0GHz, the corresponding quality (Q) factor of 10, and the rejection outside of the passband of more than 25dB.

Effectiveness Analysis of Installation of Turbo Roundabouts (터보형 회전교차로 설치 효과분석)

  • Lim, Chang-Sik;Choi, Yang-Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.6
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    • pp.925-932
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    • 2018
  • This study deals with Turbo-Roundabout of Special-Roundabouts. Recently, many rotary intersections are being constructed in Korea, but the effect of the rotary intersection depends on the total entrance traffic volume and the area of the paper. The purpose of this study is to analyze the operation and accident reduction effect of turning traffic signal intersection with small traffic volume into turbo - type turning intersection. The main results are as follows. First, when the traffic volume of the main road is high, the traffic volume of the subway is less than 10 ~ 15%, or when the left turn ratio is less than 30%, it is improved when switching to the turbo type turn intersection instead of the first turn type and second turn type turn intersection Was analyzed. Second, it is considered that turbo type rotary intersection is more effective than first - type rotary intersection, and it is more effective in increasing road capacity because the area of paper is smaller than that of second - order rotary intersection. Third, the number of traffic accidents decreased by 45.9% and the number of injured persons decreased by 76.5% after the conversion of the turnover type turnover to turbo type. 100%), the number of car accidents was 0.3, and the number of casualties was 0 (100%). Finally, the positive evaluation of the user satisfaction survey showed that the improvement in safety, accessibility, and convenience was improved by 60.4%, which was improved by 16.4% to 76.8% after the conversion to the turbo type turnover.

Development of Street Crossing Assistive Embedded System for the Visually-Impaired Using Machine Learning Algorithm (머신러닝을 이용한 시각장애인 도로 횡단 보조 임베디드 시스템 개발)

  • Oh, SeonTaek;Jeong, Kidong;Kim, Homin;Kim, Young-Keun
    • Journal of the HCI Society of Korea
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    • v.14 no.2
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    • pp.41-47
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    • 2019
  • In this study, a smart assistive device is designed to recognize pedestrian signal and to provide audio instructions for visually impaired people in crossing streets safely. Walking alone is one of the biggest challenges to the visually impaired and it deteriorates their life quality. The proposed device has a camera attached on a pair of glasses which can detect traffic lights, recognize pedestrian signals in real-time using a machine learning algorithm on GPU board and provide audio instructions to the user. For the portability, the dimension of the device is designed to be compact and light but with sufficient battery life. The embedded processor of device is wired to the small camera which is attached on a pair of glasses. Also, on inner part of the leg of the glasses, a bone-conduction speaker is installed which can give audio instructions without blocking external sounds for safety reason. The performance of the proposed device was validated with experiments and it showed 87.0% recall and 100% precision for detecting pedestrian green light, and 94.4% recall and 97.1% precision for detecting pedestrian red light.

Effectiveness Evaluation of Displacement Accommodatable Pressure Measuring Jig for Quality Assessment of Pressure Application Device (압력 인가 장치의 품질관리를 위한 변위 수용이 가능한 압력 측정용 지그의 유효성 평가)

  • Mun, Chang-Su;Jun, Sung-Chul;Noh, Si-Cheol
    • Journal of the Institute of Convergence Signal Processing
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    • v.21 no.2
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    • pp.61-66
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    • 2020
  • Recently, a variety of electric anesthetics devices have been developed and used in clinical practice to reduce the fatigue of the operator during local anesthesia for dental procedures and to compensate for the disadvantages of manual anesthesia device. In this electric anesthesia injection device, the accurate and constant delivery of pressure for drug infusion is a very important performance factor. In order to evaluate the accuracy of the transfer pressure, a small pressure gauge using a load cell is often used, but since the elastic body inside the load cell may not be able to accommodate a sufficient displacement, an error may occur when evaluating pressure performance. For these reasons, in this study, we proposed and evaluated a silicon-chrome steel (Si-Cr steel) spring jig that can accommodate relatively large displacements that can be used when evaluating the performance of a pressure-controlled pressure application device using a load cell type pressure gauge. As a result of the pressure transmissibility test and repeated measurement results using a commercial dental anesthesia injection device, a more stable result was obtained when using a spring jig, and it was confirmed that the frequency of abnormally high measurement was reduced.

Preferred masking levels of water sounds according to various noise background levels in small scale open plan offices (소규모 개방형 사무실 배경 소음 레벨에 따른 최적 물소리 마스킹 레벨)

  • Tae-Hui Kim;Sang-Hyeon Lee;Chae-Hyun Yoon;Hyo-Won Sim;Joo-Young Hong
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.617-626
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    • 2023
  • This study aims to investigate the preferred sound level of water sound for various levels of open-plan-office noise regarding soundscape quality and speech privacy. And assessment of the work efficiency of the water sound. For the laboratory experiment, office noise was recorded using a binaural microphone in a real open-plan office. For the assessment of the soundscape quality and speech privacy, Overall Soundscape Quality (OSQ) and Listening Difficulty (LD) were evaluated under three different sound levels (55 dBA, 60 dBA, and 65 dBA) and five different signal-to-noise ratios (SNR -10 dB, -5 dB, 0 dB, +5 dB, and +10 dB). After the evaluation, the preferred SNR was proposed according to OSQ and LD. For the assessment of to work efficiency of water sound, this study evaluated the cognitive performance of both of the condition noise only and combine the water sound with office noise. The results showed that LD increased as the water sound level increased, but OSQ decreased. When the water sound level was more than the office noise level, the OSQ decreased from noise only. Therefore, considering OSQ and LD, the preferred SNR of water sound was -5 dB for all noise levels. At the preferred level of water sound, the cognitive performance results were shown to decrease at 55 dBA compared to noise only, but at 60 dBA and 65 dBA combine the water sound results were increased than the noise only.

Various MRI Findings of Toxocara canis Myelitis (개회충 척수염의 다양한 자기공명영상 소견)

  • Sun Young Park;Kyung Seok Park;Eugene Lee;Joon Woo Lee;Yun Jung Bae;Yusuhn Kang;Joong Mo Ahn;Heung Sik Kang
    • Journal of the Korean Society of Radiology
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    • v.81 no.1
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    • pp.135-146
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    • 2020
  • Purpose To describe magnetic resonance imaging (MRI) findings in 10 cases of Toxocara canis myelitis and to analyze these findings to aid in the diagnosis of this condition. Materials and Methods From June 2015 to March 2018, we retrospectively analyzed the electronic medical records and MR images of patients who were diagnosed with Toxocara canis myelitis. The analysis of the MR images was based on a discussion between an experienced spinal radiologist and a radiology resident. Results This study classified MRI findings into the following two types. Type 1 was defined as central and diffuse T2 high signal intensity on the axial plane, which was observed in 50% of all cases. All lesions showed avid enhancement, mostly in the posterolateral or posterior region (4 cases, 80%). Type 2 was defined as wedge-shaped or focal T2 high signal intensity in the posterolateral or posterior region and corresponded to the remaining 50% of the cases. In this case, the extent of the lesion was relatively small and contrast enhancement was observed in only one case. Conclusion This study revealed that various imaging findings could be observed in cases of Toxocara canis myelitis, and the findings were classified into two types.

Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms

  • Ilsang Woo;Areum Lee;Seung Chai Jung;Hyunna Lee;Namkug Kim;Se Jin Cho;Donghyun Kim;Jungbin Lee;Leonard Sunwoo;Dong-Wha Kang
    • Korean Journal of Radiology
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    • v.20 no.8
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    • pp.1275-1284
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    • 2019
  • Objective: To develop algorithms using convolutional neural networks (CNNs) for automatic segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) and compare them with conventional algorithms, including a thresholding-based segmentation. Materials and Methods: Between September 2005 and August 2015, 429 patients presenting with acute cerebral ischemia (training:validation:test set = 246:89:94) were retrospectively enrolled in this study, which was performed under Institutional Review Board approval. Ground truth segmentations for acute ischemic lesions on DWI were manually drawn under the consensus of two expert radiologists. CNN algorithms were developed using two-dimensional U-Net with squeeze-and-excitation blocks (U-Net) and a DenseNet with squeeze-and-excitation blocks (DenseNet) with squeeze-and-excitation operations for automatic segmentation of acute ischemic lesions on DWI. The CNN algorithms were compared with conventional algorithms based on DWI and the apparent diffusion coefficient (ADC) signal intensity. The performances of the algorithms were assessed using the Dice index with 5-fold cross-validation. The Dice indices were analyzed according to infarct volumes (< 10 mL, ≥ 10 mL), number of infarcts (≤ 5, 6-10, ≥ 11), and b-value of 1000 (b1000) signal intensities (< 50, 50-100, > 100), time intervals to DWI, and DWI protocols. Results: The CNN algorithms were significantly superior to conventional algorithms (p < 0.001). Dice indices for the CNN algorithms were 0.85 for U-Net and DenseNet and 0.86 for an ensemble of U-Net and DenseNet, while the indices were 0.58 for ADC-b1000 and b1000-ADC and 0.52 for the commercial ADC algorithm. The Dice indices for small and large lesions, respectively, were 0.81 and 0.88 with U-Net, 0.80 and 0.88 with DenseNet, and 0.82 and 0.89 with the ensemble of U-Net and DenseNet. The CNN algorithms showed significant differences in Dice indices according to infarct volumes (p < 0.001). Conclusion: The CNN algorithm for automatic segmentation of acute ischemic lesions on DWI achieved Dice indices greater than or equal to 0.85 and showed superior performance to conventional algorithms.

A Case of Paraneoplastic Limbic Encephalitis Associated with Small Cell Lung Cancer

  • Ryu, Ja Young;Lee, Seung Hyeun;Lee, Eun Joo;Min, Kyung Hoon;Hur, Gyu Young;Lee, Sung Yong;Kim, Je Hyeong;Lee, Sang Yeub;Shin, Chol;Shim, Jae Jeong;In, Kwang Ho;Kang, Kyung Ho;Yoo, Se Hwa
    • Tuberculosis and Respiratory Diseases
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    • v.73 no.5
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    • pp.273-277
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    • 2012
  • Paraneoplastic limbic encephalitis (PLE) is a rare syndrome characterized by memory impairment, affective and behavioral disturbances and seizures. Among many different neoplasms known to cause PLE, small cell lung cancer (SCLC) is the most frequently reported. The pathogenesis is not fully understood but is believed to be autoimmune-related. We experienced a patient with typical clinical features of PLE. A 67-year-old man presented with seizure and disorientation. Brain magnetic resonance imaging demonstrated high signal intensity in the bilateral amygdala and hippocampus in flair and T2-weighted images suggestive of limbic encephalitis. Cerebrospinal fluid tapping revealed no evidence of malignant cells or infection. Positron emission tomography/computed tomography showed a lung mass with pleural effusion and a consequent biopsy confirmed the diagnosis of PLE associated with SCLC. The patient was subsequently treated with chemotherapy and neurologic symptoms gradually improved.

Design and Performance Analysis of an Off-Axis Three-Mirror Telescope for Remote Sensing of Coastal Water (연안 원격탐사를 위한 비축 삼반사경 설계와 성능 분석)

  • Oh, Eunsong;Kang, Hyukmo;Hyun, Sangwon;Kim, Geon-Hee;Park, YoungJe;Choi, Jong-Kuk;Kim, Sug-Whan
    • Korean Journal of Optics and Photonics
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    • v.26 no.3
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    • pp.155-161
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    • 2015
  • We report the design and performance analysis of an off-axis three-mirror telescope as the fore optics for a new hyperspectral sensor aboard a small unmanned aerial vehicle (UAV), for low-altitude coastal remote sensing. The sensor needs to have at least 4 cm of spatial resolution at an operating altitude of 500 m, $4^{\circ}$ field of view (FOV), and a signal to noise ratio (SNR) of 100 at 660 nm. For these performance requirements, the sensor's optical design has an entrance pupil diameter of 70 mm and an F-ratio of 5.0. The fore optics is a three-mirror system, including aspheric primary and secondary mirrors. The optical performance is expected to reach $1/15{\lambda}$ in RMS wavefront error and 0.75 in MTF value at 660 nm. Considering the manufacturing and assembling phase, we determined the alignment compensation due to the tertiary mirror from the sensitivity, and derived the tilt-tolerance range to be 0.17 mrad. The off-axis three-mirror telescope, which has better performance than the fore optics of other hyperspectral sensors and is fitted for a small UAV, will contribute to ocean remote-sensing research.