• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권6호
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• pp.1479-1495
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• 2012

Spectrum scarcity seems to be the most challenging issue to be solved in new wireless telecommunication services. It is shown that spectrum unavailability is mainly due to spectrum inefficient utilization and inappropriate physical layer execution rather than spectrum shortage. Daily increasing demand for new wireless services with higher data rate and QoS level makes the upgrade of the physical layer modulation techniques inevitable. Orthogonal Frequency Division Multiple Access (OFDMA) which utilizes multicarrier modulation to provide higher data rates with the capability of flexible resource allocation, although has widely been used in current wireless systems and standards, seems not to be the best candidate for cognitive radio systems. Filter Bank based Multi-Carrier (FBMC) is an evolutionary scheme with some advantages over the widely-used OFDM multicarrier technique. In this paper, we focus on the total throughput improvement of a cognitive radio network using FBMC modulation. Along with this modulation scheme, we propose a novel uplink radio resource allocation algorithm in which fairness issue is also considered. Moreover, the average throughput of the proposed FBMC based cognitive radio is compared to a conventional OFDM system in order to illustrate the efficiency of using FBMC in future cognitive radio systems. Simulation results show that in comparison with the state of the art two algorithms (namely, Shaat and Wang) our proposed algorithm achieves higher throughputs and a better fairness for cognitive radio applications.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2015년도 춘계학술대회
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• pp.259-261
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• 2015

선박조종 시뮬레이션 모델은 항해사에게 요구되는 항해장비 숙달, 충돌위험 회피, 비상상황 대응 등의 해기능력 향상에 많은 기여를 하고 있으나, 인적오류에 의한 사고는 여전히 발생하고 있다. 여기서는 기존의 선박조종 시뮬레이터를 활용하여 여러 단계의 조종능력을 보유하고 있는 항해자를 대상으로 국제항공 및 해상수색구조편람(IAMSAR manual) 제3권 선내비상사태(On board Emergencies) 익수자(Person Overboard) 편에 구성되어 있는 표준 선박조종법을 검토하였다. 그리고 교육훈련 시 나타나는 항해자의 인적오류 사항을 모니터링하여 인지 시뮬레이션 모델 구축을 위한 기초자료를 검토하였다.

• 한국간호교육학회지
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• 제27권1호
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• pp.68-79
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• 2021

Purpose: This study aimed to identify the educational needs of nurses and nursing students for the development of a simulation module of home visiting care for frail, elderly people. Methods: Focus group interviews were conducted with 15 home visiting nurses working in public health centers and 14 nursing students who experienced home visiting from September 10 to October 10, 2018. Results: Bloom's taxonomy of learning objectives, namely, cognitive, affective, and psychomotor domains was used as a framework for data analysis. The defined educational needs for each domain were as follows: "understanding frail, elderly people" for the cognitive domain; "intervention for mental health" and "building a therapeutic relationship" for the affective domain; and "nursing skills", "health education for healthy lifestyles", "referral to the community resource connection", "protection for visiting nurses" for the psychomotor domain. Conclusion: Based on the findings of this study, a simulation module of home visiting care for frail, elderly people can be developed and used for nursing students and nurses to strengthen the capacity for home visiting care.

• 제어로봇시스템학회논문지
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• 제22권2호
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• pp.104-109
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• 2016

In this paper, a localization method for multiple robots based on Bayesian inference is proposed when multiple robots adopting multi-RAT (Radio Access Technology) communications exist in cognitive radio networks. Multiple robots are separately defined by primary and secondary users as in conventional mobile communications system. In addition, the heterogeneous spectrum environment is considered in this paper. To improve the performance of localization for multiple robots, a realistic multiple primary user distribution is explained by using the probabilistic graphical model, and then we introduce the Gibbs sampler strategy based on Bayesian inference. In addition, the secondary user selection minimizing the value of GDOP (Geometric Dilution of Precision) is also proposed in order to overcome the limitations of localization accuracy with Gibbs sampling. Via the simulation results, we can show that the proposed localization method based on GDOP enhances the accuracy of localization for multiple robots. Furthermore, it can also be verified from the simulation results that localization performance is significantly improved with increasing number of observation samples when the GDOP is considered.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
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• pp.265-267
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• 2012

This paper analyzes network selection issues of secondary users (SUs) in Cooperative Cognitive Radio Networks (CRNs) by utilizing Queuing Model. Coordinating with Handover Cost-Based Network selection, this paper also addresses an opportunity for the secondary users (SUs) to enhance QoS as well as economics efficiency. In this paper, network selection of SUs is the optimal association between Overall System Time Minimization Problem evaluation of Secondary Connection (SC) and Handover Cost-Based Network selection. This will be illustrated by simulation results.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.185-186
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• 2008

We propose an efficient spectrum sensing scheme for cognitive radio systems with multiple antennas. By utilizing the property of multiple receive antennas, spectrum sensing without idle period is possible. Simulation results show that the detection probability is enhanced with the number of receive antennas, which explains the effect of the spatial diversity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권4호
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• pp.613-631
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• 2013

Cognitive radio (CR) is proposed as a key solution to improve spectral efficiency and overcome the spectrum scarcity. Spectrum sensing is an important task in each CR system with the aim of identifying the spectrum holes and using them for secondary user's (SU) communications. Several conventional methods for spectrum sensing have been proposed such as energy detection, matched filter detection, etc. However, the main limitation of these classical methods is that the CR network is not able to communicate with its own base station during the spectrum sensing period and thus a fraction of the available primary frame cannot be exploited for data transmission. The other limitation in conventional methods is that the SU data frames should be synchronized with the primary network data frames. To overcome the above limitations, here, we propose a spectrum sensing technique based on blind source separation (BSS) that does not need time synchronization between the primary network and the CR. Moreover, by using the proposed technique, the SU can maintain its transmission with the base station even during spectrum sensing and thus higher rates are achieved by the CR network. Simulation results indicate that the proposed method outperforms the accuracy of conventional BSS-based spectrum sensing techniques.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2016년도 춘계학술대회
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• pp.199-201
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• 2016

항해장비의 성능이 고도화되고 있으나 해기사의 항해기기 운용능력, 즉 해양사고 저감을 위한 항해사의 위험 예견 능력과 회피의무의 중요성은 지속적으로 증대되고 있다. 이 능력과 의무는 항해사의 인지능력으로도 표현할 수 있다. 해기능력이 상이한 각 선교팀이 선박 조종시뮬레이터로 인명구조조선을 실시하여 나타난 선박의 항적을 기반으로 인지상황 발생 초기대응별 사례를 분석하고, 단계별 항적, ROT 값 등 분석 자료를 인지교육모델, 해기사의 상황인식평가 기초자료로 활용하고자 한다.

• Journal of information and communication convergence engineering
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• 제13권4호
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• pp.241-247
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• 2015

Cognitive radio has been attracting increased attention as an effective approach to improving spectrum efficiency. One component of cognitive radio, spectrum sensing, has an important relationship with the performance of cognitive radio. In this paper, after a summary and analysis of the existing spectrum-sensing algorithms, we report that the existing eigenvalue-based semi-blind detection algorithm and blind detection algorithm have not made full use of the eigenvalues of the received signals. Applying multi-antenna systems to cognitive users, we design a variety of spectrum-sensing algorithms based on the joint distribution of the eigenvalues of the received signal. Simulation results validate that the proposed algorithms in this paper are able to detect whether the signal of the primary user exists or not with high probability of detection in an environment with a low signal-to-noise ratio. Compared with traditional algorithms, the new algorithms have the advantages of high detection performance and strong robustness

• 한국통신학회논문지
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• 제38A권3호
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• pp.249-257
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• 2013

최근 고속 데이터 서비스의 보급으로 데이터 사용량이 급증함에 따라 이를 수용하기 위한 주파수 자원의 효율적 사용 방법에 대한 연구가 주목받고 있다. 따라서 주파수 효율성을 향상시키기 위해 주파수 사용에 대한 우선권을 가진 사용자와 후순위에 있는 사용자가 해당 주파수 대역을 공유하는 기술인 인지 무선 기술(Cognitive Radio, CR)이 제안되었다. 본 논문에서는 CR 시스템에서 직교하는 채널 벡터를 이용하여 선순위 시스템에게 미치는 간섭을 줄이면서 후순위 시스템의 성능 향상을 동시에 고려한 사용자 선택 기법을 제안한다. 모의실험 결과 제안 기법을 적용했을 때 전체 시스템의 합 용량이 기존 기법보다 약 1.62bps/Hz의 이득을 가지는 것을 확인하였다.