• 호남수학학술지
• /
• 제39권2호
• /
• pp.175-185
• /
• 2017

In this paper we consider Toeplitz operators on the pluriharmonic Dirichlet space of the unit ball in the n-dimensional complex space. We then characterize Fredholm Toeplitz operators and describe the essential spectrum of a Toeplitz operator as a consequence.

• 한국막학회:학술대회논문집
• /
• 한국막학회 1998년도 심포지움시리즈 Jan-98 역삼투용 분리막 기술 및 응용
• /
• pp.31-55
• /
• 1998

1. Performance of RO membrane depends on chain structure (packing density) 2. Crosslinking of main chain is essential for the high performance RO membranes 3. Various bisphenols and polyaminostyrene can be promising materials for the fabrication of RO membranes. 4. By using of blend technique of reactant, we can expect broad spectrum of RO membrane and synergetic effects in membrane performance.

• 대한수학회보
• /
• 제56권2호
• /
• pp.319-331
• /
• 2019

On the weighted Dirichlet space, by the Sobolev's embedding theorem, we characterize the compactness for operators which are finite sums of products of several Toeplitz operators. Moreover, the essential spectrum of Toeplitz operator is characterized.

• 한국농업기계학회:학술대회논문집
• /
• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.III
• /
• pp.560-568
• /
• 2000

The aims of this research were to investigate the preprocessing effect of spectrum data on prediction performance and to develop a robust model to predict SSC in intact apple. Spectrum data of 320 Fuji apples were measured with the on-line transmittance measurement system at the wavelength range of 550∼1100nm. Preprocess methods adopted for the tests were Savitzky Golay, MSC, SNV, first derivative and OSC. Several combinations of those methods were applied to the raw spectrum data set to investigate the relative effect of each method on the performance of the calibration model. PLS method was used to regress the preprocessed data set and the SSCs of samples, and the cross-validation was to select the optimal number of PLS factors. Smoothing and scattering corection were essential in increasing the prediction performance of PLS regression model and the OSC contributed to reduction of the number of PLS factors. The first derivative resulted in unfavorable effect on the prediction performance. MSC and SNV showed similar effect. A robust calibration model could be developed by the preprocessing combination of Savitzky Golay smoothing, MSC and OSC, which resulted in SEP= 0.507, bias=0.032 and R$^2$=0.8823.

• Journal of Communications and Networks
• /
• 제16권2호
• /
• pp.130-139
• /
• 2014

Due to the unpredictable nature of channel availability, carrying delay-sensitive traffic in cognitive radio networks (CRNs) is very challenging. Spectrum leasing of radio resources has been proposed in the so called coordinated CRNs to improve the quality of service (QoS) experienced by secondary users (SUs). In this paper, the performance of coordinated CRNs under fixed-rate with hard-delay-constraints traffic is analyzed. For the adequate and fair performance comparison, call admission control strategies with fractional channel reservation to prioritize ongoing secondary calls over new ones are considered. Maximum Erlang capacity is obtained by optimizing the number of reserved channels. Numerical results reveal that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Additionally, numerical results show that, in CRNs without spectrum leasing, there exists a critical utilization factor of the primary resources from which it is not longer possible to guarantee the required QoS of SUs and, therefore, services with hard delay constraints cannot be even supported in CRNs. Thus, spectrum leasing can be essential for CRN operators to provide the QoS demanded by fixed-rate applications with hard delay constraints. Finally, the cost per capacity Erlang as function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated.

• 한국GIS학회:학술대회논문집
• /
• 한국GIS학회 2004년도 GIS/RS 공동 춘계학술대회 논문집
• /
• pp.241-246
• /
• 2004

The ocean signal that reaches the detector of an imaging system after multiple interactions with the atmospheric molecules and aerosols was retrieved from the total signal recorded at the top of the atmosphere (TOA). A simple method referred to as 'Path Extraction' applied to the Landsat-TM ocean imagery of turbid coastal water was compared with the conventional dark-pixel subtraction technique. The shape of the path-extracted water-leaving radiance spectrum resembled the radiance spectrum measured in-situ. The path-extraction was also extended to the SeaWiFS ocean color imagery and compared with the standard SeaWiFS atmospheric correction algorithm, which relays on the assumption of zero water leaving radiance at the two NIR wavebands (765 and 865nm). The path-extracted water-leaving radiance was good agreement with the measured radiance spectrum. In contrast, the standard SeaWiFS atmospheric correction algorithm led to essential underestimation of the water-leaving radiance in the blue-green part of the spectrum. The reason is that the assumption of zero water-leaving radiance at 755 and 865nm fails due to backscattering by suspended mineral particles. Therefore, the near infrared channels 765 and 865nm used fur deriving the aerosol information are no longer valid for turbid coastal waters. The path-extraction is identified as a simple and efficient method of extracting the path radiance largely introduced due to light interaction through the complex atmosphere carried several aerosol and gaseous components and at the air-sea interface.interface.

• 정보와 통신
• /
• 제13권11호
• /
• pp.181-191
• /
• 1996

본 논문에서는 direct sequence spread spectrum(DS/SS) 통신 시스템과 협대역통신시스템이 동일 주파수 대역에서 공존하는 주파수복수통신시스템에 있어서의 협대역신호 제거에 대해 논한다. DS/SS 시스템과 협대역통신시스템의 주파수복수통신시스템에서 DS/SS신호의 스펙트럼 밀도는 낮기 때문에 협대역시스템의 통신에 큰 영향을 주지 않지만, 협대역신호의 DS/SS시스템에의 영향은 크기 때문에 원활한 복수통신을 위해서는 DS/SS 시스템에 미치는 협대역신호를 반드시 제거해야한다. DS/SS 방식에 있어서 협대역간섭신호 제거 기법은 크게 시간영역과 변환영역에서의 처리 기법으로 분류될 수 있다. 본 논문에서는 예측필터를 이용한 시간영역 처리 기법은 Fourier 변환을 이용한 변환영역 처리 기법, 그리고 소자의 특성을 이용한 협대역 간섭신호를 제거하는 방법에 대해 논의하고, 각 방법의 특성을 비교한다. 나아가, gyrator를 이용하여 ASIC화가 용이한 tunable notch 필터의 구조를 제안한다.

• Nuclear Engineering and Technology
• /
• 제55권10호
• /
• pp.3591-3598
• /
• 2023

Photoneutron background spectroscopy observations at linac are essential for directing accelerator shielding and subtracting background signals. Therefore, we constructed a Bonner Sphere Spectrometer (BSS) system based on an array of BF₃ gas proportional counter tubes. Initially, the response of the BSS system was simulated using the MCNP5 code. Next, the response of the system was calibrated by using neutrons with energies of 2.86 MeV and 14.84 MeV. Then, the system was employed to measure the spectrum of the ²⁴¹Am-Be neutron source, and the results were unfolded by using the Gravel and EM algorithms. Using the validated system, the undesirable neutron spectrum of the 120 MeV electron linac was finally measured and acquired. In addition, it is demonstrated that the equivalent undesirable neutron dose at a distance of 3.2 m from the linac is 19.7 mSv/h. The results measured by the above methods could provide guidance for linac-related research.

• Nuclear Engineering and Technology
• /
• 제52권11호
• /
• pp.2452-2459
• /
• 2020

Neutron spectrum is essential to the safe operation of reactors. Traditional online neutron spectrum measurement methods still have room to improve accuracy for the application cases of wide energy range. From the application of artificial neural network (ANN) algorithm in spectrum unfolding, its accuracy is difficult to be improved for lacking of enough effective training data. In this paper, an adaptive deviation-resistant neutron spectrum unfolding method based on transfer learning was developed. The model of ANN was trained with thousands of neutron spectra generated with Monte Carlo transport calculation to construct a coarse-grained unfolded spectrum. In order to improve the accuracy of the unfolded spectrum, results of the previous ANN model combined with some specific eigenvalues of the current system were put into the dataset for training the deeper ANN model, and fine-grained unfolded spectrum could be achieved through the deeper ANN model. The method could realize accurate spectrum unfolding while maintaining universality, combined with detectors covering wide energy range, it could improve the accuracy of spectrum measurement methods for wide energy range. This method was verified with a fast neutron reactor BN-600. The mean square error (MSE), average relative deviation (ARD) and spectrum quality (Qs) were selected to evaluate the final results and they all demonstrated that the developed method was much more precise than traditional spectrum unfolding methods.

• 생명과학회지
• /
• 제23권7호
• /
• pp.933-940
• /
• 2013

본 연구는 박하(Mentha arvensis) 식물 유래 향료의 향기성분을 구명하고, 향기성분들이 인간의 뇌파에 어떠한 영향을 미치는지를 이해하고자 수행하였다. 초임계추출기를 이용하여 박하 식물(Mentha arvensis L. f. piperascens)로부터 에센셜오일을 얻었으며, 최적 회수율은 $70^{\circ}C$, 200 bar 조건에서 2.38%이었다. 박하 에센셜오일에 함유되어 있는 향기 화합물을HS-SPME/GC-MS로 분석한 결과, 총 32종의 화합물이 검출되었는데 alcohol 류가 6종(67.11%), hydrocarbon 류가 13종(17.05%), ester 류가 9종(11.50%), ketone 류가 2종(7.16%), oxide가 1종(2.77%) 그리고 aldehyde가 1종(0.56%)이었다. 박하 에센셜오일에 함유된 주된 향기 화합물은 (Z,Z,Z)-9,12,15-octadecatrien-1-ol (50.06%), 2-hydroxy-4-methoxyacetophenone (7.50%)과 3,4-dihydro-8-hydroxy-3-methyl-1H-2-benzopyran-1-one (6.60%) 이었다. 총 20명의 피험자(남녀 각 10명)를 대상으로 박하 에센셜오일 향기 흡입 전과 흡입 중에 뇌파분석을 수행한 결과, 향기를 흡입 중에는, 흡입 전과 비교하여, relative fast alpha power spectrum이 유의성 있게 증가하는 반면(p<0.05), gamma power spectrum과 spectral edge frequency 90% 지표는 유의성 있게 감소하는 결과를 얻었다(p<0.05). 본 연구의 결과들은 박하의 향기성분이 정신적 긴장을 완화시킨다는 것을 시사하여 준다.