• Journal of Communications and Networks
• /
• 제18권3호
• /
• pp.429-438
• /
• 2016

In this paper, we investigate an interference mitigation scheme by antenna selection in device-to-device (D2D) communication underlaying downlink cellular networks. We first present the closed-form expression of the system achievable rate and its asymptotic behaviors at high signal-to-noise ratio (SNR) and the large antenna number scenarios. It is shown that the high SNR approximation increases with more antennas and higher ratio between the transmit SNR at the base station (BS) and the D2D transmitter. In addition, a tight approximation is derived for the rate and we reveal two thresholds for both the distance of the D2D link and the transmit SNR at the BS above which the underlaid D2D communication will degrade the system rate. We then particularize on the small cell setting where all users are closely located. In the small cell scenario, we show that the relationship between the distance of the D2D transmitting link and that of the D2D interfering link to the cellular user determines whether the D2D communication can enhance the system achievable rate. Numerical results are provided to verify these results.

• 한국수정란이식학회지
• /
• 제11권3호
• /
• pp.309-316
• /
• 1996

The aim of this study is to elucidate sperm chemotaxis and to set up the optirnal condition for selection of motile and capacitated sperm from hovine frozen-semen. Thus, the effects of semen-washing after thawing, concentrations of progesterone (P4) and bovine serum albumin (BSA), and sperm-washing frequency on sperm selection were examined. For evaluating their effects, number, viability and acrosome reaction of sperm swim-up seperated from semen, which were incubated for 30 minutes at 36$^{\circ}C$ in the M2 solution containing P4 and BSA, were investigated. For frozen-semen just after thawing, sperm recovery and viability were not significantly different between P4-treated and -untreated semen. However, washing frozen-semen decreased the number of sperm and increased the viability of sperm that were recovered from semen treated with P4. Progesterone affected the recovery rate, the viability and the acrosome-reaction rate of sperm recovered from washed frozen-semen. Especially, number of motile and capacitated sperm were highest in semen treated with 50$\mu$g /ml among 0, 20, 50 and 100$\mu$g /ml of P4 concentrations. BSA affected the recovery rate and the viability of sperm recovered from washed frozen-semen that were treated with 50$\mu$g /ml of P4. Especially, the percentage of viable sperm were highest in semen treated with 4mg /ml among 0, 2, 4, and 6mg /ml of BSA concentrations. Repeatedly sperm-washing did not affect the recovery rate and the viability of sperm recovered from washed frozen-semen that were treated with 50$\mu$g /ml of P4 and 4mg /ml of BSA In conclusion, using progesterone and BSA could efficiently make the selection of motile and capacitated sperm from washed frozen-semen.

• 한국ITS학회 논문지
• /
• 제8권6호
• /
• pp.88-97
• /
• 2009

WBAN은 인체 내부 혹은 인체로부터 3미터 이내의 주변에서 일어나는 근거리 무선 통신을 목적으로 하는 네트워크이며 운전자의 생체 정보를 분석하여 보다 안전한 차량 운전이 가능하도록 하는 차량 산업에 적용할 수 있다. 본 논문에서는 고속 WBAN 시스템의 요구 조건을 만족하기 위한 UWB 기술과 다중 안테나 기법에 대해 논하고 Noncoherent UWB 수신기를 이용한 수신 안테나 선택 기법을 제안한다. 제안된 방식은 Noncoherent 수신기를 이용하여 BPPM 구간의 에너지 비율을 비교하여 수신 신호를 선택하는 기법으로 2~4개의 수신 안테나 환경에서의 성능을 비교 하였고, 시스템의 요구조건인 10-3 BER을 만족하는 경우에는 수신 신호의 에너지 크기를 비교하여 안테나를 선택하는 방식에 비해 4dB 이상의 성능 향상을 보였다.

• 한국문헌정보학회지
• /
• 제41권1호
• /
• pp.125-138
• /
• 2007

본 연구의 목적은 국내 K 대학도서관을 대상으로 사례연구를 실시하여 대학도서관에서의 도서 선정 주체에 따른 도서 선정의 효과성을 비교 분석하는 데 있다. 이를 위하여 사례 도서관으로부터 최근 3년간의 단행본 수서 및 대출 기록을 바탕으로 7,717종(16,809권)을 조사 대상 도서로 선정하였고 이에 대한 교수, 사서, 학생 3집단의 도서 선정 및 대출 현황을 조사 분석하였다. 연구 결과사서에 의해 선정된 도서의 비율이 전체의 약 76%로서 가장 높은 비율을 차지하였으며 그 다음 학생, 교수의 순으로 도서 선정 비율이 높게 나타났다. 각 신분별로 선정된 도서를 대상으로 미대출 도서의 비율을 조사한 결과 사서에 의해 선정된 도서의 미대출 도서 비율이 가장 낮게 나타났다. 1회 이상 대출 이력이 있는 도서를 대상으로 대출비율을 조사한 결과에서는 학생에 의해 선정된 도서의 대출 비율이 가장 높게 나타났다.

• 한국시뮬레이션학회논문지
• /
• 제30권1호
• /
• pp.75-85
• /
• 2021

본 논문에서는 개인사업자 부도율을 보다 정확하게 예측하기 위한 새로운 방법으로 개인사업자의 기업 신용 및 개인 신용정보를 가공, 분석하여 입력 특성으로 활용하는 심층 신경망기반 예측 모델을 제시한다. 다양한 분야의 모델링 연구에서 특성 선택 기법은 특히 많은 특성을 포함하는 예측 모델에서 성능 개선을 위한 방법으로 활발히 연구되어 왔다. 본 논문에서는 부도율 예측 모델에 이용된 입력 변수인 거시경제지표(거시변수)와 신용정보(미시변수)에 대한 통계적 검증 이후 추가적으로 신용정보 특성 선택 방법을 통해 예측 성능을 개선하는 특성 집합을 확인할 수 있다. 제안하는 신용정보 특성 선택 방법은 통계적 검증을 수행하는 필터방법과 다수 래퍼를 결합 사용하는 반복적·하이브리드 방법으로, 서브 모델들을 구축하고 최대 성능 모델의 중요 변수를 추출하여 부분집합을 구성 한 후 부분집합과 그 결합셋에 대한 예측 성능 분석을 통해 최종 특성 집합을 결정한다.

• Journal of Communications and Networks
• /
• 제15권1호
• /
• pp.45-53
• /
• 2013

Multi-hop cellular networks (MCNs), which reduce the transmit power, mitigate the inter-cell interference, and improve the system performance, have been widely studied nowadays. The relay selection scheme is a key technique that achieves these advantages, and inappropriate relay selection causes frequent relay switchings, which deteriorates the overall performance. In this study, we analyze the conditions for relay switching in MCNs and obtain the expressions for the relay switching rate and relay activation time. Two mobile-based relay selection schemes are proposed on the basis of this analysis. These schemes select the relay node with the longest relay activation time and minimal relay switching rate through mobility prediction of the mobile node requiring relay and available relay nodes. We compare the system performances via simulation and analyze the impact of various parameters on the system performance. The results show that the two proposed schemes can obtain a lower relay switching rate and longer relay activation time when there is no reduction in the system throughput as compared with the existing schemes.

• ETRI Journal
• /
• 제46권3호
• /
• pp.446-460
• /
• 2024

In this paper, we mathematically investigate a downlink non-orthogonal multiple access (NOMA) system for short-packet communications (SPC) in which the near users are used as full-duplex (FD) relays to forward intended signals from the source to a far user. In addition, partial relay selection is employed to enhance the performance of the FD relays under the impact of imperfect interference cancellation. At the far user, selection combining (SC) or maximal ratio combining (MRC) is employed to combine the signals received from the source and the selected FD relay. The analytical expressions for the average block error rate (BLER) of two users over flat Rayleigh fading channels are derived. Furthermore, closed-form asymptotic expressions of the average BLERs at the near and far users in high signal-to-noise ratio (SNR) regimes are obtained. The numerical results show that the analytical BLERs of the near user and far user closely match the simulation results.

• Asian-Australasian Journal of Animal Sciences
• /
• 제20권3호
• /
• pp.453-460
• /
• 2007

An overview of developments important in the future of animal breeding is discussed. Examples from the application of quantitative genetic principles to selection in chickens and mice are given. Lessons to be learned from these species are that selection for production traits in livestock must also consider selection for reproduction and other fitness-related traits and inbreeding should be minimized. Short-term selection benefits of best linear unbiased predictor methodology must be weighed against long-term risks of increased rate of inbreeding. Different options have been developed to minimize inbreeding rates while maximizing selection response. Development of molecular genetic methods to search for quantitative trait loci provides the opportunity for incorporating marker-assisted selection and introgression as new tools for increasing efficiency of genetic improvement. Theoretical and computer simulation studies indicate that these methods hold great promise once genotyping costs are reduced to make the technology economically feasible. Cloning and transgenesis are not likely to contribute significantly to genetic improvement of livestock production in the near future.

• 생물정신의학
• /
• 제26권2호
• /
• pp.33-38
• /
• 2019

Psychiatric disorder as dysfunctional behavioural syndrome is a paradoxical phenomenon that is difficult to explain evolutionarily because moderate prevalence rate, high heritability and relatively low fitness are shown. Several evolutionary genetic models have been proposed to address this paradox. In this paper, I explain each model by dividing it into selective neutrality, mutation-selection balance, and balancing selection hypothesis, and discuss the advantages and disadvantages of them. In addition, the feasibility of niche specialization and frequency dependent selection as the plausible explanation about the central paradox is briefly discussed.

• 한국정보시스템학회지:정보시스템연구
• /
• 제26권3호
• /
• pp.63-90
• /
• 2017

Purpose This study proposes a novel system trading model using case-based reasoning (CBR) based on absolute similarity threshold. The proposed model is designed to optimize the absolute similarity threshold, feature selection, and instance selection of CBR by using genetic algorithm (GA). With these mechanisms, it enables us to yield higher returns from stock market trading. Design/Methodology/Approach The proposed CBR model uses the absolute similarity threshold varying from 0 to 1, which serves as a criterion for selecting appropriate neighbors in the nearest neighbor (NN) algorithm. Since it determines the nearest neighbors on an absolute basis, it fails to select the appropriate neighbors from time to time. In system trading, it is interpreted as the signal of 'hold'. That is, the system trading model proposed in this study makes trading decisions such as 'buy' or 'sell' only if the model produces a clear signal for stock market prediction. Also, in order to improve the prediction accuracy and the rate of return, the proposed model adopts optimal feature selection and instance selection, which are known to be very effective in enhancing the performance of CBR. To validate the usefulness of the proposed model, we applied it to the index trading of KOSPI200 from 2009 to 2016. Findings Experimental results showed that the proposed model with optimal feature or instance selection could yield higher returns compared to the benchmark as well as the various comparison models (including logistic regression, multiple discriminant analysis, artificial neural network, support vector machine, and traditional CBR). In particular, the proposed model with optimal instance selection showed the best rate of return among all the models. This implies that the application of CBR with the absolute similarity threshold as well as the optimal instance selection may be effective in system trading from the perspective of returns.