• 한국위성정보통신학회논문지
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• 제10권2호
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• pp.1-9
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• 2015

최근 제한된 주파수 자원의 효율적인 사용을 위한 인지 무선 기술(CR)이 많은 관심을 받고 있다. CR 기술에서 가장 중요한 부분은 인가 사용자의 통신을 보호 하는 것이다. 따라서 비인가 사용자는 자신이 현재 사용 중인 주파수 대역은 물론 인가 사용자가 나타났을 시에 스위칭 해야 할 후보 채널의 주기적인 센싱도 필요하다. 본 논문에서는 CR 환경에서 인가 사용자를 보호하기 위한 방법으로 비인가 사용자로 하여금 각 노드의 남은 에너지와 센싱 존 이웃이라는 개념을 이용하여 협력적인 채널 센싱을 하도록 제안한다. 채널 센싱은 현재 사용하고 있는 채널을 센싱하는 인밴드센싱과 인가 사용자가 나타났을 경우 스위칭 해야할 후보 채널을 센싱하는 아웃밴드 센싱으로 수행된다. 모의 실험을 통해 제안된 방법이 센싱을 수행하는 노드의 수를 줄임으로 인해 센싱에 필요한 많은 에너지가 절약되고, 남은 노드들의 에너지가 균일해 짐으로써 네트워크의 수명이 길어지는 것을 확인할 수 있다.

• Journal of applied mathematics & informatics
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• 제32권1_2호
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• pp.129-136
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• 2014

One of the fundamental issues in the design of dynamic spectrum access policy is the modeling of the dynamic behavior of channel occupancy by primary users. Under a Markovian modeling of channel occupancy, a periodic sensing and greedy access policy is known as one of the simple and practical dynamic spectrum access policies in cognitive radio networks. In this paper, the primary occupancy of each channel is modeled as a discrete-time alternating renewal process with generally distributed on- and off-periods. A periodic sensing and greedy access policy is constructed based on the general channel occupancy model. Simulation results show that the proposed policy has better throughput than the policies using channel models with exponentially distributed on- or off-periods.

• 인터넷정보학회논문지
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• 제13권1호
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• pp.7-14
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• 2012

본 논문은 불완전한 채널 감지를 고려한 포화 상태에서의 IEEE 802.11 carrier-sense multiple access with collision-avoidance(CSMA/CA)의 성능을 분석한다. 불완전한 채널 감지는 missed-detection과 false alarm을 포함하는데, 이러한 불완전한 채널 감지가 IEEE 802.11의 성능에 미치는 영향을 분석하고 이를 수식적으로 표현한다. 물리 계층의 불완전한 채널 감지를 표현하기 위해, 본 논문에서는 기존의 2차원 마코프 프로세스 모델을 수정했다. 모의실험 결과와 제안된 모델의 이론적인 결과가 일치하는 것을 보였다. 이러한 실험 결과를 바탕으로, 감지 확률이 IEEE 802.11의 성능에 있어 가장 중요한 요소임을 확인하였다.

• BMB Reports
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• 제44권10호
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• pp.635-646
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• 2011

Due to its high external and low internal concentration the $Ca^{2+}$ ion is used ubiquitously as an intracellular signaling molecule, and a great many $Ca^{2+}$-sensing proteins have evolved to receive and propagate $Ca^{2+}$ signals. Among them are ion channel proteins, whose $Ca^{2+}$ sensitivity allows internal $Ca^{2+}$ to influence the electrical activity of cell membranes and to feedback-inhibit further $Ca^{2+}$ entry into the cytoplasm. In this review I will describe what is understood about the $Ca^{2+}$ sensing mechanisms of the three best studied classes of $Ca^{2+}$-sensitive ion channels: Large-conductance $Ca^{2+}$-activated $K^+$ channels, small-conductance $Ca^{2+}$-activated $K^+$ channels, and voltage-gated $Ca^{2+}$ channels. Great strides in mechanistic understanding have be made for each of these channel types in just the past few years.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권7호
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• pp.1951-1975
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• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• 한국인터넷방송통신학회논문지
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• 제13권5호
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• pp.71-76
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• 2013

본 논문에선, 스펙트럼 센싱 과정에서 서로 협력적으로 선택되고, 보고된(reporting) 채널과 감지된 채널에서 최상의 SNR을 가진 두 사용자의 협력적 스펙트럼 센싱에 대한 2차 사용자의 선택 방법에 대한 연구를 한다. 감지결과 두 사용자는 첫 번째 사용자 신호의 동작을 검출하기 위해 결합되며, 사용자는 최상의 SNR 채널을 감지해서 기존의 선택 기법과 제안된 방식을 비교한다. 감지 채널들을 I.I.D 레일리 페이딩 채널, 보고된(reporting) 채널은 invariant, non-identical로 가정한다. 시뮬레이션을 통해 제안한 내용을 검증한다.

• Bulletin of the Korean Chemical Society
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• 제31권7호
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• pp.2031-2035
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• 2010

A triple-probe channel type chemosensor based on an $NO_2S_2$-macrocycle functionalized with phenyltricyanovinyl group was synthesized and its sensing characteristics were examined. The pink-red solution of L changed selectively to pale yellow upon addition of $Hg^{2+}$. The selective fluorometric response of L to all the tested metal ions was studied. The results showed that a large enhancement of the fluorescence of L was observed only in the case of $Hg^{2+}$. In addition, L showed large anodic shift (~ 0.3 V) for the addition of excess $Hg^{2+}$. Through above three observed results by the different techniques, we confirmed that the proposed chemosensor acts as the multiple-probe channel sensing material. The crystal structure of mercury(II) nitrate complexs of L which shows a 1-D polymer network with a formula $[Hg_2(L)_2(NO_3)_2({\mu}-NO_3)_2]_n$ was also reported.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.491-495
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• 1999

We compared the satellite observed temperature with the radiosonde observed temperature in the Korean Peninsula. The radiosonde observed data were obtained from four upper air observation stations in the Korean Peninsula from 1981 to 1998, and that was compared with the satellite observed data of the channel-2 and channel-4 of microwave sounding unit(MSU) on board NOAA series of polar-orbiting satellites. The radiosonde data were reconstructed into monthly radiosonde T$_{b}$ using MSU weighting function. The monthly climatology shows radiosonde T$_{b2}$ is higher than MSU T$_{b2}$ in summer. The correlation between MSU T$_{b2}$ and radiosonde T$_{b2}$ is 0.72-0.76 and 0.73-0.81 between MSU T$_{b4}$ and radiosonde T$_{b4}$.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권2호
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• pp.580-592
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• 2012

In this paper, a new compressive feedback (CF) scheme based on distributed compressed sensing (DCS) for time-corrected MIMO channel is proposed. First, the channel state information (CSI) is approximated by using a subspace matrix, then, the approximated CSI is compressed using a compressive matrix. At the base station, the approximated CSI can be robust recovered with simultaneous orthogonal matching pursuit (SOMP) algorithm by using forgone CSIs. Simulation results show our proposed DCS-CF method can improve the reliability of system without creating a large performance loss.

• 전기학회논문지
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• 제61권2호
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• pp.321-323
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• 2012

Cognitive radio has been recently proposed to dynamically access unused-spectrum. Since the spectrum availability for opportunistic access is determined by spectrum sensing, sensing is identified as one of the most crucial issues of cognitive radio networks. The PHY-layer sensing, as a part of spectrum sensing in cognitive radio, concerns the sensing mechanism to determine channel to be sensed and to access. One of the important issues in the PHY-layer sensing control is to find an available sensing period and trade-off between spectrum sensing and data transmission. In this paper, we show the relationship between spectrum sensing and data transmission according to the sensing period. We analyze and propose the new scheme to evaluate optimal sensing period.