• 한국통신학회논문지
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• 제25권8B호
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• pp.1333-1340
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• 2000

본 논문에서는 고속의 초기동기가 가능한 Kronecker 부호를 DS/CDMA 시스템의 확산부호로 하여 패킷 무선 데이터 통신에서의 사용을 위한 타당성을 보인다 먼저 Kronecker 부호의 생성방법 상관특성을 보여 대체적인 부호의 특성을 밝히고 부분 상관기를 이용할 수 있음을 보인다 더 나아가 PN 부호와 같은 평균 초기동기획득 시간을 가질 때의 Kronecker 부호의 오경보 확률과 실패 확률을 구하여 Kronecker 부호가 PN 부호보다 더 높은 동기 확률을 가짐을 보임으로써 패킷 통신에서 Kronecker 부호를 사용할 수 있는 가능성을 확인한다.

• Journal of Communications and Networks
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• 제13권2호
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• pp.132-141
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• 2011

IEEE 802.15.4 networks are a feasible platform candidate for connecting all health-care-related equipment dispersed across a hospital room to collect critical time-sensitive data about patient health state, such as the heart rate and blood pressure. To meet the quality of service requirements of health-care systems, this paper proposes a multi-priority queue system that differentiates between various types of frames. The effect of the proposed system on the average delay and throughput is explored herein. By employing different contention window parameters, as in IEEE 802.11e, this multi-queue system prioritizes frames on the basis of priority classes. Performance under both saturated and unsaturated traffic conditions was evaluated using a novel analytical model that comprehensively integrates two legacy models for 802.15.4 and 802.11e. To improve the accuracy, our model also accommodates the transmission retries and deferment algorithms that significantly affect the performance of IEEE 802.15.4. The multi-queue scheme is predicted to separate the average delay and throughput of two different classes by up to 48.4% and 46%, respectively, without wasting bandwidth. These outcomes imply that the multi-queue system should be employed in health-care systems for prompt allocation of synchronous channels and faster delivery of urgent information. The simulation results validate these model's predictions with a maximum deviation of 7.6%.

• 한국인터넷방송통신학회논문지
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• 제9권4호
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• pp.75-79
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• 2009

얼굴특징의 윤곽선 검출을 위하여 ${\lambda}$-퍼지척도를 이용하는 방법을 제안하였다. 기존의 방법에는 계곡, 명도, 경계선과 같은 특징점를 이용하여 얼굴 특징점을 찾는다. 이 방법에는 여러가지 특정점을 이용하기 때문에 주변잡음과 기타환경에 민감하다는 단점을 가지고 있다. 본 논문에서는 ${\lambda}$-퍼지척도를 이용하여 이러한 단점을 해결하였다. 해당 화소에 대하여 각각의 가중치를 구성함으로서 이들에 대한 평가를 무게중심을 적용하여 종합적으로 평가 하였다. 따라서 인접정보를 유지하여 경계선의 연속성을 확보할 수 있었다. 실험을 통하여 기존의 방법에 비하여 알고리즘의 단순화로 인한 계산량의 감소를 보였으며, 항목간의 중요도에 대한 무게 중심을 검출하여 각도변화와 조명에 보다 강인한 경계선을 추출 할 수 있었다.

• Journal of Power Electronics
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• 제16권1호
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• pp.329-339
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• 2016

Owing to mismatched feeder impedances in an islanded microgrid, the conventional droop control method typically results in errors in reactive power sharing among distributed generation (DG) units. In this study, an improved droop control strategy based on secondary voltage control is proposed to enhance the reactive power sharing accuracy in an islanded microgrid. In a DG local controller, an integral term is introduced into the voltage droop function, in which the voltage compensation signal from the secondary voltage control is utilized as the common reactive power reference for each DG unit. Therefore, accurate reactive power sharing can be realized without any power information exchange among DG units or between DG units and the central controller. Meanwhile, the voltage deviation in the microgrid common bus is removed. Communication in the proposed strategy is simple to implement because the information of the voltage compensation signal is broadcasted from the central controller to each DG unit. The reactive power sharing accuracy is also not sensitive to time-delay mismatch in the communication channels. Simulation and experimental results are provided to validate the effectiveness of the proposed method.

• International Journal of Internet, Broadcasting and Communication
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• 제11권4호
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• pp.11-17
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• 2019

Plantar pressure data can be used not only for walking patterns in daily life, but also for eating, health care, and disease prevention. For this reason, the importance of plantar pressure measurement has recently increased. However, most systems that can measure both static and dynamic plantar pressure at the same time are expensive, not portable, and not universal. In this study, we propose a system that effectively reduces the number of sensors in plantar pressure system. Through this, we want to increase the economics and practicality by reducing the size and weight of the system, as well as the power consumption. First, for static plantar pressure and dynamic plantar pressure, the values measured by existing precision instruments are analyzed to determine how many measurement parts the insole is divided into. Next, for the divided measuring parts, the position of the sensor is determined by calculating the Center of Pressure (COP) for each part with the values of all dynamic and static plantar pressure sensors. Finally, in order to construct a personalized plantar pressure measurement system, we propose a weighting method for the static plantar pressure COP and the dynamic plantar pressure COP for each part.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.204-210
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• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• ETRI Journal
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• 제22권4호
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• pp.40-50
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• 2000

We apply a "sliding-window" Maximum Likelihood(ML) estimator to estimate traffic parameters On-Off source and develop a method for estimating stochastic predicted individual cell arrival rates. Based on these results, we propose a simple Connection Admission Control(CAC)scheme for delay sensitive services in broadband onboard packet switching satellite systems. The algorithms are motivated by the limited onboard satellite buffer, the large propagation delay, and low computational capabilities inherent in satellite communication systems. We develop an algorithm using the predicted individual cell loss ratio instead of using steady state cell loss ratios. We demonstrate the CAC benefits of this approach over using steady state cell loss ratios as well as predicted total cell loss ratios. We also derive the predictive saturation probability and the predictive cell loss ratio and use them to control the total number of connections. Predictive congestion control mechanisms allow a satellite network to operate in the optimum region of low delay and high throughput. This is different from the traditional reactive congestion control mechanism that allows the network to recover from the congested state. Numerical and simulation results obtained suggest that the proposed predictive scheme is a promising approach for real time CAC.

• Journal of information and communication convergence engineering
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• 제10권1호
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• pp.40-44
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• 2012

Data mining, which is attracting public attention, is a process of drawing out knowledge from a large mass of data. The key technique in data mining is the ability to maximize the similarity in a group and minimize the similarity between groups. Since grouping in data mining deals with a large mass of data, it lessens the amount of time spent with the source data, and grouping techniques that shrink the quantity of the data form to which the algorithm is subjected are actively used. The current grouping algorithm is highly sensitive to static and reacts to local minima. The number of groups has to be stated depending on the initialization value. In this paper we propose a gene algorithm that automatically decides on the number of grouping algorithms. We will try to find the optimal group of the fittest function, and finally apply it to a data mining problem that deals with a large mass of data.

• 한국통신학회논문지
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• 제32권1B호
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• pp.17-21
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• 2007

본 논문에서는 멀티미디어 네트워크상에서 우선순위가 높은 서비스의 QoS를 보장하며 동시에 프로세서의 에너지 효율을 최대화하는 적응적 온라인 프로세서 관리기법을 제안하였다. 이 기법은 현재 네트워크의 트래픽 상황을 기반으로 하여 실시간으로 프로세서를 관리한다. 제안된 방법의 가장 큰 특징은 상호 상충하는 다양한 성능 메트릭들 사이에 적정한 균형을 이루어 안정적으로 시스템을 운영하는데 있다. 컴퓨터 시뮬레이션을 통하여 기존에 제안된 프로세서 관리기법에 비해 본 논문에서 제안된 방법이 다양한 트래픽 상황에서 우수한 성능을 가지는 것을 확인할 수 있었다.

• Tuberculosis and Respiratory Diseases
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• 제78권3호
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• pp.175-179
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• 2015

The intensive care unit (ICU) is the most common place to die. Also, ethical conflicts among stakeholders occur frequently in the ICU. Thus, ICU clinicians should be competent in all aspects for ethical decision-making. Major sources of conflicts are behavioral issues, such as verbal abuse or poor communication between physicians and nurses, and end-of-life care issues including a lack of respect for the patient's autonomy. The ethical conflicts are significantly associated with the job strain and burn-out syndrome of healthcare workers, and consequently, may threaten the quality of care. To improve the quality of care, handling ethical conflicts properly is emerging as a vital and more comprehensive area. The ICU physicians themselves need to be more sensitive to behavioral conflicts and enable shared decision making in end-of-life care. At the same time, the institutions and administrators should develop their processes to find and resolve common ethical problems in their ICUs.