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李光浩,黃圭洪 全北大學校 1978 論文集 Vol.20 No.-
For this study 12 classrooms of 4 buildings Kijon Girls' School wee equipped with dry and wet-bulb psychrometers and their temperatures were recorded three times a day(at 9 a.m., at noon, at 3 p.m.) from 8th March to 23rd July, 1977 and from 22nd August to 31st October, 1977. The results are as follow: 1) Monthly average temperature and humidity show that in early spring the the temperature of 'G' room is warmer than any other room. 2) Of 66 days 57-60 days are marked by more than discomfort index 75 in 'B' 'I' 'G' rooms. 3) The correlation between temperatures of in and out was high. (Correlation coefficient, Spring : 0.60-0.92, Summer: 0.69-0.91).
An Efficient Weight-Based Cooperative Spectrum Sensing Scheme in Cognitive Radio Systems
KIEU-XUAN, Thuc,KOO, Insoo The Institute of Electronics, Information and Comm 2010 IEICE TRANSACTIONS ON COMMUNICATIONS - Vol.93 No.8
<P>Cooperation is an attractive approach to improving the spectrum sensing performance of cognitive systems experiencing deep shadowing and fading. In this letter, an efficient weight-based cooperative spectrum sensing scheme is proposed. Simulation results show that the proposed scheme has better accuracy than “AND,” “OR,” and “half-voting” combination schemes and has similar spectrum sensing accuracy but with lower computational and communication complexity in comparison to the “optimal data fusion” rule.</P>
A cooperative spectrum sensing scheme using adaptive fuzzy system for cognitive radio networks
Kieu-Xuan, T.,Koo, I. North-Holland [etc ; Elsevier Science Ltd 2013 Information sciences Vol.220 No.-
Cognitive radio represents a promising design paradigm for the next-generation of wireless networks that can enhance utilization of the scarce spectrum available. It allows dynamic spectrum access over temporarily unused spectrum holes that are identified by spectrum sensing. In order to enhance the sensing accuracy by taking advantage of the spatial diversity in multiple cognitive radio user networks, cooperative spectrum sensing has been proposed in the literature. However, most existing cooperative spectrum sensing schemes require knowledge of the noise variance and signal-to-noise ratio of primary signal at each node, which can add a significant transmission overhead. This paper proposes an adaptive fuzzy system-based scheme for cooperative spectrum sensing without the need for a priori network information such as the noise variance, channel state information, and characteristics of existing primary signals. Energy observations at nodes are used for online learning from the environment to make a reliable global sensing decision at a central node without further information. Simulation results show that the proposed scheme outperforms the equal-gain combination based scheme, and matches the optimal soft combination scheme in terms of sensing accuracy.
KIEU-XUAN, Thuc,KOO, Insoo The Institute of Electronics, Information and Comm 2010 IEICE TRANSACTIONS ON COMMUNICATIONS - Vol.93 No.12
<P>This letter proposes a novel censor-based scheme for cooperative spectrum sensing on Cognitive Radio Sensor Networks. A Takagi-Sugeno's fuzzy system is proposed to make the decision on the presence of the licensed user's signal based on the observed energy at each cognitive sensor node. The local spectrum sensing results are aggregated to make the final sensing decision at the fusion center after being censored to reduce transmission energy and reporting time. Simulation results show that significant improvement of the spectrum sensing accuracy, and saving energy as well as reporting time are achieved by our scheme.</P>
KIEU-XUAN, Thuc,KOO, Insoo The Institute of Electronics, Information and Comm 2011 IEICE TRANSACTIONS ON COMMUNICATIONS - Vol.eb94 No.5
<P>This letter proposes a novel decision fusion algorithm for cooperative spectrum sensing in cognitive radio sensor networks where a reinforcement learning algorithm is utilized at the fusion center to estimate the sensing performance of local spectrum sensing nodes. The estimates are then used to determine the weights of local decisions for the final decision making process that is based on the Chair-Vashney optimal decision fusion rule. Simulation results show that the sensing accuracy of the proposed scheme is comparable to that of the Chair-Vashney optimal decision fusion based scheme even though it does not require any knowledge of prior probabilities and local sensing performance of spectrum sensing nodes.</P>
( Kieu Thi Thu Trang ),( Se Lim Kim ),( Sang Bae Park ),( Seung Young Seo ),( Chung Hwan Choi ),( Jin Kyoung Park ),( Jin Chang Moon ),( Soo Teik Lee ),( Sang Wook Kim ) 대한장연구학회 2014 Intestinal Research Vol.12 No.1
Background/Aims: Combination therapy utilizing tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) in conjunction with other anticancer agents, is a promising strategy to overcome TRAIL resistance in malignant cells. Recently, parthenolide (PT) has proved to be a promising anticancer agent, and several studies have explored its use in combination therapy. Here, we investigated the molecular mechanisms by which PT sensitizes colorectal cancer (CRC) cells to TRAIL-induced apoptosis. Methods: HT-29 cells (TRAIL-resistant) were treated with PT and/or TRAIL for 24 hours. The inhibitory effect on proliferation was detected using the 3-(4, 5-dimethylthiazol-2yl)-2, 5-diphenyltetrazolium bromide (MTT) assay. Annexin V staining, cell cycle analysis, and Hoechst 33258 staining were used to assess apoptotic cell death. Activation of an apoptotic pathway was confirmed by Western blot. Results: Treatment with TRAIL alone inhibited the proliferation of HCT 116 cells in a dose-dependent manner, whereas proliferation was not affected in HT-29 cells. Combination PT and TRAIL treatment significantly inhibited cell growth and induced apoptosis of HT-29 cells. We observed that the synergistic effect was associated with misregulation of B-cell lymphoma 2 (Bcl-2) family members, release of cytochrome C to the cytosol, activation of caspases, and increased levels of p53. Conclusion: Combination therapy using PT and TRAIL might offer an effetive strategy to overcome TRAIL resistance in certain CRC cells. (Intest Res 2014;12:34-41)