• Nuclear Engineering and Technology
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• 제53권3호
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• pp.732-740
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• 2021

Scattering resonance of medium mass nuclides leads complex spectrum in the fast reactor, which requires thousands of energy groups in the spectrum calculation. When the broad-group cross sections are collapsed, reaction rate cannot be completely conserved. To eliminate the error from energy collapsing, the Super-homogenization method in energy collapsing (ESPH) was employed in the fast reactor code SARAX. An ESPH factor was derived based on the ESPH-corrected SN transport equation. By applying the factor in problems with reflective boundary condition, both the effective multiplication factor and reaction rate were conserved. The fixed-source iteration was used to ensure the stability of ESPH iteration. However, in the energy collapsing process of SARAX, the vacuum boundary condition was adopted, which was necessary for fast reactors with strong heterogeneity. To further reduce the error caused by leakage, an additional conservation factor was proposed to correct the neutron current in energy collapsing. To evaluate the performance of ESPH with conservation factor, numerical benchmarks of fast reactors were calculated. The results of broad-group calculation agreed well with the direct full-core Monte-Carlo calculation, including the effective multiplication factor, radial power distribution, total control rod worth and sodium void worth.

• 한국전자파학회논문지
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• 제13권3호
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• pp.316-322
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• 2002

직교주파수분할다중화방식(OFDM)은 부채널간의 직교성을 이용하여 주파수 스펙트럼을 중첩시킴으로써 스펙트럼 효율을 이상적으로 증가시킨 고속의 병렬 변조방식이다. 그러나 OFDM은 부채널간의 스펙트럼이 크게 중첩됨으로 인하여 안정된 채널 환경을 요구하고 있다. OFDM의 경우 채널 환경이 열화하면 부채널간의 직교성이 상실되어 시스템의 큰 성능 저하가 발생한다. 따라서 된 논문에서는 이러한 성능 열화를 개선하기 위하여 서로 역선회하는 원편파를 이용한 다중반송파변조방식인 XCP-OFDM(OFDM using Cross-handed Circular Polarization) 시스템을 제안하였다. XCP-OFDM 시스템은 인편과의 고유 특성인 기수회 반사파 억제 특성과 편파의 식별도가 큰 서로 역선회 하는 2개의 원편파를 사용하여 부채널의 스펙트럼 중첩을 없앰으로써 시스템의 성능을 향상시킬 수 있는 새로운 방식이다. 제안된 시스템의 성능을 이론적인 해석과 더불어 컴퓨터 시뮬레이션을 이용하여 제안 방식의 우수성을 나타내었다.

• 한국산업정보학회논문지
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• 제27권5호
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• pp.49-59
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• 2022

SHAPE 알고리즘은 펄스의 스펙트럼 형태를 원하는 대로 성형하면서, 이 외의 특성에는 왜곡을 발생시키지 않도록 설계할 수 있다는 장점이 있어 기존의 능동소나 펄스 설계에 활용되었다. 본 논문에서는 다중상태 소나 시스템을 위한 펄스를 설계할 때, 주파수 대역에서 인접한 펄스 간의 상호상관도를 감소시키면서도 펄스 자체의 성능 저하를 방지하기 위해 SHAPE 알고리즘을 적용한 펄스 신호 설계 기법을 제안한다. 이를 위해서 SHAPE 알고리즘의 경계함수를 펄스 대역폭으로 제한하도록 설정하였다. 제안하는 설계 기법을 사인화 주파수 변조 펄스 신호에 적용한 결과 상호상관도를 의미하는 peak cross-correlation level (PCCL)이 44.23 dB 감소하였다. PCCL이 수십 dB 감소하였음에도 모호성 함수의 변화가 크게 관찰되지 않았으며, 부엽의 평균값을 의미하는 integrated sidelobe level (ISL)이 11.64 dB 증가하였다.

• Journal of Radiation Protection and Research
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• 제8권1호
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• pp.26-32
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• 1983

Co-60과 Cs-137의 감마선원이 균일하게 분포된 ICRU의 표준 조직등가 물질에서 광자의 감속과 이감속과정에서 생성된 전자의 감속을 결합시킨 에너지 분포를 비적길이의 함수로서 계산하였으며 계산은 최적 전산코드의 입력으로서 최근의 핵단면적 데이터를 사용하였다. 본 논문에서는 이론적 계산방법을 상세히 기술하였으며 계산 결과는 그림으로 나타내었다. 그 결과, 미소 비적길이의 함수로서 정의되는 에너지 분포는 상이한 에너지의 감마선원에 대해 동일한 형태로 나타나며, 초기광자는 어느 에너지 이하로 감속되지 않기 때문에 $T=(1/T_0+2/m_0c^2)^{-1}$의 에너지에서 불연속이 나타난다.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제18권4호
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• pp.230-237
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• 2015

Purpose: Various gastrointestinal factors may contribute to maladaptive behavior in children with autism spectrum disorders (ASD). To determine the association between maladaptive behavior in children with ASD and gastrointestinal symptoms such as severity, intestinal microbiota, inflammation, enterocyte damage, permeability and absorption of opioid peptides. Methods: This observational cross-sectional study compared children with ASD to healthy controls, aged 2-10 years. Maladaptive behavior was classified using the Approach Withdrawal Problems Composite subtest of the Pervasive Developmental Disorder Behavior Inventory. Dependent variables were gastrointestinal symptom severity index, fecal calprotectin, urinary D-lactate, urinary lactulose/mannitol excretion, urinary intestinal fatty acids binding protein (I-FABP) and urinary opioid peptide excretion. Results: We did not find a significant difference between children with ASD with severe or mild maladaptive behavior and control subjects for gastrointestinal symptoms, fecal calprotectin, urinary D-lactate, and lactulose/mannitol ratio. Urinary opioid peptide excretion was absent in all children. Children with ASD with severe maladaptive behavior showed significantly higher urinary I-FABP levels compared to those with mild maladaptive behavior (p=0.019) and controls (p=0.015). Conclusion: In our series, maladaptive behavior in ASD children was not associated with gastrointestinal symptoms, intestinal inflammation (no difference in calprotectin), microbiota (no difference in urinary D-lactate) and intestinal permeability (no difference in lactulose/manitol ratio). ASD children with severe maladaptive behavior have significantly more enterocyte damage (increased urinary I-FABP) than ASD children with mild maladaptive behavior and normal children.

• 천문학회보
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• 제36권2호
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• pp.61.1-61.1
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• 2011

We have performed simultaneous observations at 22GHz and 43GHz on AGNs hosted by elliptical galaxies using KVN radio telescope. We have constructed the sample, based on two major surveys in radio and optical band, i.e. Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) and Sloan Digital Sky Survey (SDSS) DR7, respectively. We restricted the redshift range 0.01 < z < 0.06 and the absolute magnitude Mr < -19.4 in order to satisfy volume limited sample. We also checked clear detection of four distinctive emission lines ([NII], [OIII], $H{\alpha}$, $H{\beta}$) so as to utilize on BPT diagram, distinguishing AGNs from star-forming galaxies. Elliptical galaxies have been selected by visual inspection making use of SDSS optical images. Then, we cross-matched the elliptical galaxies with FIRST detections. About 35% of the galaxies have been detected throughout KVN observations. We derive spectral index, applying the flux of different radio frequencies from FIRST (1.4GHz) and KVN (22GHz) and classify into steep, flat or inverted spectrum. We have found that most of the detected galaxies have flat spectrum while the rest of them have steep spectrum. This implies that a number of detected galaxies might have compact structure associated with the central region of the galaxies. The relation between black hole mass and radio luminosity has shown relatively tighter correlation in high frequency than in low frequency, which confirms that high frequency in radio band is appropriate to study the center of the galaxies.

• Journal of Communications and Networks
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• 제13권6호
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• pp.664-677
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• 2011

In order to control interference and improve spectrum efficiency in the femtocell and macrocell overlaid system (FMOS), we propose a joint frequency bandwidth dynamic division, clustering and power control algorithm (JFCPA) for orthogonal-frequency-division-multiple access-based downlink FMOS. The overall system bandwidth is divided into three bands, and the macro-cellular coverage is divided into two areas according to the intensity of the interference from the macro base station to the femtocells, which are dynamically determined by using the JFCPA. A cluster is taken as the unit for frequency reuse among femtocells. We map the problem of clustering to the MAX k-CUT problem with the aim of eliminating the inter-femtocell collision interference, which is solved by a graph-based heuristic algorithm. Frequency bandwidth sharing or splitting between the femtocell tier and the macrocell tier is determined by a step-migration-algorithm-based power control. Simulations conducted to demonstrate the effectiveness of our proposed algorithm showed the frequency-reuse probability of the FMOS reuse band above 97.6% and at least 70% of the frequency bandwidth available for the macrocell tier, which means that the co-tier and the cross-tier interference were effectively controlled. Thus, high spectrum efficiency was achieved. The simulation results also clarified that the planning of frequency resource allocation in FMOS should take into account both the spatial density of femtocells and the interference suffered by them. Statistical results from our simulations also provide guidelines for actual FMOS planning.

• 한국지진공학회논문집
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• 제26권5호
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• pp.211-217
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• 2022

New buildings have been designed using different seismic design standards that have been revised. However, the seismic performance of existing buildings is evaluated through the same performance evaluation guidelines. Existing buildings may not satisfy the performance targets suggested in the current guidelines, but there are practical limitations to discriminating the existing buildings with poor seismic performance through a full investigation. In this regard, to classify buildings with poor seismic performance according to the applied standard, this study aimed to evaluate performance-based investigation of the seismic design proposals of buildings with different design standards. The target buildings were set as RC ordinary moment frames for office occupancy. Changes in seismic design criteria by period were analyzed, and the design spectrum changes of reinforced concrete ordinary moment resisting frames were compared to analyze the seismic load acting on the building during design. The seismic design plan was derived through structural analysis of the target model, compared the member force and cross-sectional performance, and a preliminary evaluation of the seismic performance was performed to analyze the performance level through DCR. As a result of the seismic performance analysis through the derived design, the reinforced concrete ordinary moment frame design based on AIK 2000 has an insufficient seismic performance level, so buildings built before 2005 are likely to need seismic reinforcement.

• 한국음향학회지
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• 제28권5호
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• pp.461-470
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• 2009

본 연구에서는 CPSP (Cross Power Spectrum Phase) 함수를 이용한 프레임 기반의 TDOA (Time Difference of Arrival) 추정시 나타나는 문제점들을 분석하고 연구하였다. 구형 윈도우함수를 이용해서 음성신호의 프레임을 추출할 때 나타나는 스펙트럼 누설현상은 CPSP 스펙트럼의 추정을 부정확하게 한다. 또한 스펙트럼 누설을 줄이기 위하여 구형이 아닌 다른 윈도우함수를 사용하여 프레임을 추출하면 프레임의 끝부분에서 발생하는 윈도우함수 가중치의 불일치 때문에 신호를 왜곡시킨다. 이 문제점들은 CPSP 기반의 TDOA 추정성능을 감소시킨다. 본 논문에서는 음성신호의 프리엠퍼시스를 이용하여 이러한 문제점들을 완화시키는 방법을 제안한다. 프리엠퍼시스된 음성신호의 다이나믹 레인지를 줄여줌으로써 스펙트럼 누설을 감소 시킨다. 제안한 프리엠퍼시스 방법을 검증하기 위하여, 다양한 잡음 및 잔향환경에서 TDOA 추정실험을 수행하였다. 실험결과 프라엠퍼시스된 마이크 출력에 구형 윈도우함수를 적용시켜 CPSP를 구할 경우 프리엠퍼시스를 하지 않거나 다른 윈도우를 사용하는 경우에 비해 TDOA 추정성능이 향상됨을 확인하였다.

• 천문학회지
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• 제56권2호
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• pp.213-224
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• 2023

Type II solar radio bursts show frequency drifts from high to low over time. They have been known as a signature of coronal shock associated with Coronal Mass Ejections (CMEs) and/or flares, which cause an abrupt change in the space environment near the Earth (space weather). Therefore, early detection of type II bursts is important for forecasting of space weather. In this study, we develop a deep-learning (DL) model for the automatic detection of type II bursts. For this purpose, we adopted a 1-D Convolution Neutral Network (CNN) as it is well-suited for processing spatiotemporal information within the applied data set. We utilized a total of 286 radio burst spectrum images obtained by Hiraiso Radio Spectrograph (HiRAS) from 1991 and 2012, along with 231 spectrum images without the bursts from 2009 to 2015, to recognizes type II bursts. The burst types were labeled manually according to their spectra features in an answer table. Subsequently, we applied the 1-D CNN technique to the spectrum images using two filter windows with different size along time axis. To develop the DL model, we randomly selected 412 spectrum images (80%) for training and validation. The train history shows that both train and validation losses drop rapidly, while train and validation accuracies increased within approximately 100 epoches. For evaluation of the model's performance, we used 105 test images (20%) and employed a contingence table. It is found that false alarm ratio (FAR) and critical success index (CSI) were 0.14 and 0.83, respectively. Furthermore, we confirmed above result by adopting five-fold cross-validation method, in which we re-sampled five groups randomly. The estimated mean FAR and CSI of the five groups were 0.05 and 0.87, respectively. For experimental purposes, we applied our proposed model to 85 HiRAS type II radio bursts listed in the NGDC catalogue from 2009 to 2016 and 184 quiet (no bursts) spectrum images before and after the type II bursts. As a result, our model successfully detected 79 events (93%) of type II events. This results demonstrates, for the first time, that the 1-D CNN algorithm is useful for detecting type II bursts.