• 제목/요약/키워드: 2-channel sensing

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원격탐사를 활용한 베트남 Ben-tre 갯벌의 Meretrix lyrata 서식지 매핑 연구 (A Study on the Habitat Mapping of Meretrix lyrata Using Remote Sensing at Ben-tre Tidal Flat, Vietnam)

  • 황득재;우한준;구본주;최종국
    • 대한원격탐사학회지
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    • 제37권5_1호
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    • pp.975-987
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    • 2021
  • 동남아시아 지역의 갯벌에 널리 서식하는 패류인 Meretrix lyrata의 집단폐사 현상의 원인과 해결책을 찾기 위한 일환으로 서식지 분포 확률도를 제작하였다. 서식지 분포 확률도는 GIS (Geographic Information System) 기법의 일종인 FR (Frequency Ratio) 기법을 활용하여 제작하였으며, 입력인자로는 Landsat 영상 기반의 DEM(Digital Elevation Model)과 경사도, WorldView-02 영상 기반의 조류로 밀도도 및 거리도, 표층퇴적상 분포도와 현장관측 자료를 활용하였다. 현장관측은 2014년 4월 베트남 Ben-tre 주의 Bihn Dai 지역의 갯벌에서 수행하였으며, 연구지역의 지형고도, 표층 저서생물상, 표층 퇴적상 자료를 수집하였다. 서식지 분포 확률도는 Mertrix lyrata 총 개체와 치패로 나누어 제작하였으며, 정확도는 각각 76.82%, 69.51%로 좋은 정확도를 보였다. 서식지 분포 확률도 분석 결과 Meretrix lyrata는 총 개체와 치패 모두의 경우에서 Sand가 우세한 지역에 서식하지만, 총 개체는 주로 고도가 -0.2~0.2 m 사이의 조간대 중-하부에 서식하며, 치패는 그보다 높은 0~0.3 m 사이의 지역에 서식하였다. 또한 총 개체의 서식지는 조류로로부터 영향을 받는 것으로 나타났지만, 치패는 조류로의 영향을 받지 않았다. 향후 국내 갯벌과의 비교 분석을 통해 서식지 분포 확률도의 정확도를 높이고, Meretrix lyrata를 비롯한 여러 대형저서동물의 서식환경에 대한 분석을 통해, 기후변화 등으로 인한 갯벌 생태의 변화에 대해 예측할 수 있을 것으로 기대된다.

시분할 센싱 기법 기반의 출력 안정화를 위한 10 Gb/s 4채널 VCSELs 드라이버의 구현 (Implementation of 10 Gb/s 4-Channel VCSELs Driver Chip for Output Stabilization Based on Time Division Sensing Method)

  • 양충열;이강윤;이상수;정환석
    • 한국통신학회논문지
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    • 제40권7호
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    • pp.1347-1353
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    • 2015
  • $0.13-{\mu}m$ CMOS 공정기술을 이용하여 10 Gb/s 4채널 수직공진 표면 광레이저 (VCSEL) 드라이버 어레이를 구현하였다. 높은 전류 해상도, 전력 소모 및 칩 면적의 향상을 위해 시분할 센싱기법을 사용한 디지털 APC/AMC가 최초로 채택되었다. 측정된 -3 dB 주파수 대역폭은 9.2 GHz이고, 소신호 이득은 10.5 dB, 그리고 전류 해상도는 폭넓은 온도 범위에 대해 10 Gb/s 까지 안정한 파장동작을 위한 1 mA/step이다. 제안된 APC/AMC는 5 ~ 20 mA 의 바이어스 전류 제어 및 5 ~ 20 mA 의 변조전류제어를 입증하였다. 4 채널 칩 소모전력은 최대 바이어스 및 변조전류 하에서 371 mW, 칩 사이즈는 $3.71{\times}1.3mm^2$이다.

적설역에서 나타나는 적외 휘도온도와 반사도 특성 (The Characteristics of Visible Reflectance and Infra Red Band over Snow Cover Area)

  • 염종민;한경수;이가람
    • 대한원격탐사학회지
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    • 제25권2호
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    • pp.193-203
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    • 2009
  • 적설은 지표 에너지수지를 결정하는 중요한 변수중의 하나이다. 위성자료를 이용하여 지면 정보를 산출함에 있어서 적설과 구름을 구분하는 것은 매우 중요한 위성전처리 과정이다. 일반적으로 잘못된 적설과 구름의 분류는 위성자료를 이용한 지면 정보 산출에 있어서 직접적인 오차 요인이 된다. 따라서, 본 연구에서는 원격탐사 자료를 이용하여 적설 지역을 탐지하는 알고리즘에 대해서 연구하고자 한다. 적설역을 탐하지 하기 위해서, 가장 많이 사용되는 정규화 적설 지수(NDSI: Normalized Difference Snow Index)를 사용하지 않고 가시채널과 적외 채널을 이용한 방법을 제시하였다. COMS 기상영상기 (MI: Meteorological Imager) 채널에서는 정규적설 지수 산출 시 요구되는 근적외 채널을 탑재하지 않기 때문이다. 가시 채널을 이용한 적설 탐지는 구름이 혼재되어 있지 않은 지역에서는 잘 탐지하였으나 구름과 혼재되어 있는 지역에서는 어려움이 있다. 이러한 어려움을 보완하기 위해 적외채널 온도차 ($11{\mu}m\;-\;3.7{\mu}m$)를 이용하는 방법을 수행하였다. 온도차를 이용하는 방법은 가시채널만을 적용했을 때 보다는 향상된 탐지 능력을 보인다.

Two-Dimensional POMDP-Based Opportunistic Spectrum Access in Time-Varying Environment with Fading Channels

  • Wang, Yumeng;Xu, Yuhua;Shen, Liang;Xu, Chenglong;Cheng, Yunpeng
    • Journal of Communications and Networks
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    • 제16권2호
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    • pp.217-226
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    • 2014
  • In this research, we study the problem of opportunistic spectrum access (OSA) in a time-varying environment with fading channels, where the channel state is characterized by both channel quality and the occupancy of primary users (PUs). First, a finite-state Markov channel model is introduced to represent a fading channel. Second, by probing channel quality and exploring the activities of PUs jointly, a two-dimensional partially observable Markov decision process framework is proposed for OSA. In addition, a greedy strategy is designed, where a secondary user selects a channel that has the best-expected data transmission rate to maximize the instantaneous reward in the current slot. Compared with the optimal strategy that considers future reward, the greedy strategy brings low complexity and relatively ideal performance. Meanwhile, the spectrum sensing error that causes the collision between a PU and a secondary user (SU) is also discussed. Furthermore, we analyze the multiuser situation in which the proposed single-user strategy is adopted by every SU compared with the previous one. By observing the simulation results, the proposed strategy attains a larger throughput than the previous works under various parameter configurations.

Broadband Spectrum Sensing of Distributed Modulated Wideband Converter Based on Markov Random Field

  • Li, Zhi;Zhu, Jiawei;Xu, Ziyong;Hua, Wei
    • ETRI Journal
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    • 제40권2호
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    • pp.237-245
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    • 2018
  • The Distributed Modulated Wideband Converter (DMWC) is a networking system developed from the Modulated Wideband Converter, which converts all sampling channels into sensing nodes with number variables to implement signal undersampling. When the number of sparse subbands changes, the number of nodes can be adjusted flexibly to improve the reconstruction rate. Owing to the different attenuations of distributed nodes in different locations, it is worthwhile to find out how to select the optimal sensing node as the sampling channel. This paper proposes the spectrum sensing of DMWC based on a Markov random field (MRF) to select the ideal node, which is compared to the image edge segmentation. The attenuation of the candidate nodes is estimated based on the attenuation of the neighboring nodes that have participated in the DMWC system. Theoretical analysis and numerical simulations show that neighboring attenuation plays an important role in determining the node selection, and selecting the node using MRF can avoid serious transmission attenuation. Furthermore, DMWC can greatly improve recovery performance by using a Markov random field compared with random selection.

Optimal Cooperation and Transmission in Cooperative Spectrum Sensing for Cognitive Radio

  • Zhang, Xian;Wu, Qihui;Li, Xiaoqiang;Yun, Zi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권2호
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    • pp.184-201
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    • 2013
  • In this paper, we study the problem of designing the power and number of cooperative node (CN) in the cooperation phase to maximize the average throughput for secondary user (SU), under the constraint of the total cooperation and transmission power. We first investigate the scheme of cooperative spectrum sensing without a separated control channel. Then, we prove that there indeed exist an optimal CN power when the number of CNs is fixed and an optimal CN number when CN power is fixed. The case without the constraints of the power and number of CN is also studied. Finally, numerical results demonstrate the characteristics and existences of optimal CN power and number. Meanwhile, Monte Carlo simulation results match to the theoretical results well.

The Design of MSC(Multi-Spectral Camera) Calibration Operation

  • Yong Sang-Soon;Kang Geum-Sil;Jang Young-Jun;Kim Jong-Ah;Kang Song-Doug;Paik Hong-Yul
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.601-603
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    • 2004
  • Multi-Spectral Camera(MSC) is a payload on the KOMPSAT -2 satellite to perform the earth remote sensing. The instrument images the earth using a push-broom motion with a swath width of 15 km and a ground sample distance (GSD) of 1 m over the entire field of view (FOV) at altitude 685 Km. The instrument is designed to have an on-orbit operation duty cycle of $20\%$ over the mission lifetime of 3 years with the functions of programmable gain! offset and onboard image data compression/storage. MSC instrument has one(1) channel for panchromatic Imaging and four(4) channel for multi-spectral Imaging covering the spectral range from 450nm to 900nm using TDI CCD Focal Plane Array (FPA). In this paper, the configuration, the interface of MSC hardware and the MSC operation concept are described. And the method of the MSC calibration are described and the design of MSC calibration operation to measure the change of MSC after Launch & Early Operation(LEOP) and normal mission operations are discussed and analyzed.

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Surface Temperature Retrieval from MASTER Mid-wave Infrared Single Channel Data Using Radiative Transfer Model

  • Kim, Yongseung;Malakar, Nabin;Hulley, Glynn;Hook, Simon
    • 대한원격탐사학회지
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    • 제35권1호
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    • pp.151-162
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    • 2019
  • Surface temperature has been derived from the MODIS/ASTER airborne simulator (MASTER) mid-wave infrared single channel data using the MODerate resolution atmospheric TRANsmission (MODTRAN) radiative transfer model with input data including the University of Wisconsin (UW) emissivity, the National Centers for Environmental Prediction (NCEP) atmospheric profiles, and solar and line-of-sight geometry. We have selected the study area that covers some surface types such as water, sand, agricultural (vegetated) land, and clouds. Results of the current study show the reasonable geographical distribution of surface temperature over land and water similar to the pattern of the MASTER L2 surface temperature. The thorough quantitative validation of surface temperature retrieved from this study is somehow limited due to the lack of in-situ measurements. One point comparison at the Salton Sea buoy shows that the present estimate is 1.8 K higher than the field data. Further comparison with the MASTER L2 surface temperature over the study area reveals statistically good agreement with mean differences of 4.6 K between two estimates. We further analyze the surface temperature differences between two estimates and find primary factors to be emissivity and atmospheric correction.

Reduced graphene oxide field-effect transistor for biomolecule detection and study of sensing mechanism

  • Kim, D.J.;Sohn, I.Y.;Kim, D.I.;Yoon, O.J.;Yang, C.W.;Lee, N.E.;Park, J.S.
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2011년도 제40회 동계학술대회 초록집
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    • pp.431-431
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    • 2011
  • Graphene, two dimensional sheet of sp2-hybridized carbon, has attracted an enormous amount of interest due to excellent electrical, chemical and mechanical properties for the application of transparent conducting films, clean energy devices, field-effect transistors, optoelectronic devices and chemical sensors. Especially, graphene is promising candidate to detect the gas molecules and biomolecules due to the large specific surface area and signal-to-noise ratios. Despite of importance to the disease diagnosis, there are a few reports to demonstrate the graphene- and rGO-FET for biological sensors and the sensing mechanism are not fully understood. Here we describe scalable and facile fabrication of rGO-FET with the capability of label-free, ultrasensitive electrical detection of a cancer biomarker, prostate specific antigen/${\alpha}1$-antichymotrypsin (PSA-ACT) complex, in which the ultrathin rGO sensing channel was simply formed by a uniform self-assembly of two-dimensional rGO nanosheets on aminated pattern generated by inkjet printing. Sensing characteristics of rGO-FET immunosensor showed the highly precise, reliable, and linear shift in the Dirac point with the analyte concentration of PSA-ACT complex and extremely low detection limit as low as 1 fg/ml. We further analyzed the charge doping mechanism, which is the change in the charge carrier in the rGO channel varying by the concentration of biomolecules. Amenability of solution-based scalable fabrication and extremely high performance may enable rGO-FET device as a versatile multiplexed diagnostic biosensor for disease biomarkers.

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A Remote Sensed Data Combined Method for Sea Fog Detection

  • Heo, Ki-Young;Kim, Jae-Hwan;Shim, Jae-Seol;Ha, Kyung-Ja;Suh, Ae-Sook;Oh, Hyun-Mi;Min, Se-Yun
    • 대한원격탐사학회지
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    • 제24권1호
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    • pp.1-16
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    • 2008
  • Steam and advection fogs are frequently observed in the Yellow Sea from March to July except for May. This study uses remote sensing (RS) data for the monitoring of sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided a valuable information for the occurrence of steam and advection fogs as a ground truth. The RS data used in this study were GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and shortwave IR channel of GOES-9 and MTSAT-1R satellites was applied to detect sea fog. The results showed that DCD, texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind data was used to provide the wind speed criteria for a fog event. The laplacian computation was designed for a measurement of the homogeneity. A new combined method, which includes DCD, QuikSCAT wind speed and laplacian computation, was applied to the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and laplacian are -2.0 K, $8m\;s^{-1}$ and 0.1, respectively. The validation results showed that the new combined method slightly improves the detection of sea fog compared to DCD method: improvements of the new combined method are $5{\sim}6%$ increases in the Heidke skill score, 10% decreases in the probability of false detection, and $30{\sim}40%$ increases in the odd ratio.