• Title/Summary/Keyword: university system

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Embedded System Management

  • Ka Jin-Ho;Kim Jai-Hoon;Yoon Won-Sik;Jeong Dae-In
    • International Journal of Contents
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    • 제1권1호
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    • pp.16-20
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    • 2005
  • This paper proposes a frame work for embedded system management. The management system can automatically monitor and maintain the Internet connected embedded-systems such as sensor devices, set-top box, web-pad, information appliances, PDA, etc. Users can easily diagnose system state, resolve system problems, maintain and update applications, and back up user information using the management system. We implement prototype for the management system on embedded Linux system and High -available Linux system.

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Real-time Identification of the Draft System Using Neural Network

  • Chun Soon-Yong;Bae Han-Jo;Kim Seon-Mi;Suh Moon-W.;Grady P.;Lyoo Won-Seok;Yoon Won-Sik;Han Sung-Soo
    • Fibers and Polymers
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    • 제7권1호
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    • pp.62-65
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    • 2006
  • Making a good model is one of the most important aspects in the field of a control system. If one makes a good model, one is now ready to make a good controller for the system. The focus of this thesis lies on system modeling, the draft system in specific. In modeling for a draft system, one of the most common methods is the 'least-square method'; however, this method can only be applied to linear systems. For this reason, the draft system, which is non-linear and a time-varying system, needs a new method. This thesis proposes a new method (the MLS method) and demonstrates a possible way of modeling even though a system has input noise and system noise. This thesis proved the adaptability and convergence of the MLS method.

An Anti-Interference Cooperative Spectrum Sharing Strategy with Joint Optimization of Time and Bandwidth

  • Lu, Weidang;Wang, Jing;Ge, Weidong;Li, Feng;Hua, Jingyu;Meng, Limin
    • Journal of Communications and Networks
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    • 제16권2호
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    • pp.140-145
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    • 2014
  • In this paper, we propose an anti-interference cooperative spectrum sharing strategy for cognitive system, in which a secondary system can operate on the same spectrum of a primary system. Specifically, the primary system leases a fraction of its transmission time to the secondary system in exchange for cooperation to achieve the target rate. To gain access to the spectrum of the primary system, the secondary system needs to allocate a fraction of bandwidth to help forward the primary signal. As a reward, the secondary system can use the remaining bandwidth to transmit its own signal. The secondary system uses different bandwidth to transmit the primary and its own signal. Thus, there will be no interference felt at primary and secondary systems. We study the joint optimization of time and bandwidth allocation such that the transmission rate of the secondary system is maximized, while guaranteeing the primary system, as a higher priority, to achieve its target transmission rate. Numerical results show that the secondary system can gain significant improvement with the proposed strategy.

Influence of Atmospheric Turbulence Channel on a Ghost-imaging Transmission System

  • Wang, Kaimin;Wang, Zhaorui;Zhang, Leihong;Kang, Yi;Ye, Hualong;Hu, Jiafeng;Xu, Jiaming
    • Current Optics and Photonics
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    • 제4권1호
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    • pp.1-8
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    • 2020
  • We research a system of compressed-sensing computational ghost imaging (CSCGI) based on the intensity fluctuation brought by turbulence. In this system, we used the gamma-gamma intensity-fluctuation model, which is commonly used in transmission systems, to simulate the CSCGI system. By setting proper values of the parameters such as transmission distance, refractive-index structure parameter, and sampling rates, the peak signal-to-noise ratio (PSNR) performance and bit-error rate (BER) performance are obtained to evaluate the imaging quality, which provides a theoretical model to further research the ghost-imaging algorithm.

Comparison of Land Surface Temperature Algorithm Using Landsat-8 Data for South Korea

  • Choi, Sungwon;Lee, Kyeong-Sang;Seo, Minji;Seong, Noh-Hun;Jin, Donghyun;Jung, Daeseong;Sim, Suyoung;Jung, Im Gook;Han, Kyung-Soo
    • 대한원격탐사학회지
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    • 제37권1호
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    • pp.153-160
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    • 2021
  • Land Surface Temperature (LST) is the radiological surface temperature which observed by satellite. It is very important factor to estimate condition of the Earth such as Global warming and Heat island. For these reasons, many countries operate their own satellite to observe the Earth condition. South Korea has many landcovers such as forest, crop land, urban. Therefore, if we want to retrieve accurate LST, we would use high-resolution satellite data. In this study, we made LSTs with 4 LST retrieval algorithms which are used widely with Landsat-8 data which has 30 m spatial resolution. We retrieved LST using equations of Price, Becker et al. Prata, Coll et al. and they showed very similar spatial distribution. We validated 4 LSTs with Moderate resolution Imaging Spectroradiometer (MODIS) LST data to find the most suitable algorithm. As a result, every LST shows 2.160 ~ 3.387 K of RMSE. And LST by Prata algorithm show the lowest RMSE than others. With this validation result, we choose LST by Prata algorithm as the most suitable LST to South Korea.

Modification of the TNM Staging System for Stage II/III Gastric Cancer Based on a Prognostic Single Patient Classifier Algorithm

  • Choi, Yoon Young;Jang, Eunji;Seo, Won Jun;Son, Taeil;Kim, Hyoung-Il;Kim, Hyeseon;Hyung, Woo Jin;Huh, Yong-Min;Noh, Sung Hoon;Cheong, Jae-Ho
    • Journal of Gastric Cancer
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    • 제18권2호
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    • pp.142-151
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    • 2018
  • Purpose: The modification of the cancer classification system aimed to improve the classical anatomy-based tumor, node, metastasis (TNM) staging by considering tumor biology, which is associated with patient prognosis, because such information provides additional precision and flexibility. Materials and Methods: We previously developed an mRNA expression-based single patient classifier (SPC) algorithm that could predict the prognosis of patients with stage II/III gastric cancer. We also validated its utilization in clinical settings. The prognostic single patient classifier (pSPC) differentiates based on 3 prognostic groups (low-, intermediate-, and high-risk), and these groups were considered as independent prognostic factors along with TNM stages. We evaluated whether the modified TNM staging system based on the pSPC has a better prognostic performance than the TNM 8th edition staging system. The data of 652 patients who underwent gastrectomy with curative intent for gastric cancer between 2000 and 2004 were evaluated. Furthermore, 2 other cohorts (n=307 and 625) from a previous study were assessed. Thus, 1,584 patients were included in the analysis. To modify the TNM staging system, one-grade down-staging was applied to low-risk patients according to the pSPC in the TNM 8th edition staging system; for intermediate- and high-risk groups, the modified TNM and TNM 8th edition staging systems were identical. Results: Among the 1,584 patients, 187 (11.8%), 664 (41.9%), and 733 (46.3%) were classified into the low-, intermediate-, and high-risk groups, respectively, according to the pSPC. pSPC prognoses and survival curves of the overall population were well stratified, and the TNM stage-adjusted hazard ratios of the intermediate- and high-risk groups were 1.96 (95% confidence interval [CI], 1.41-2.72; P<0.001) and 2.54 (95% CI, 1.84-3.50; P<0.001), respectively. Using Harrell's C-index, the prognostic performance of the modified TNM system was evaluated, and the results showed that its prognostic performance was better than that of the TNM 8th edition staging system in terms of overall survival (0.635 vs. 0.620, P<0.001). Conclusions: The pSPC-modified TNM staging is an alternative staging system for stage II/III gastric cancer.