• Title/Summary/Keyword: Technology Fusion

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A Study on the research streams of Fusion R&D for Construction Industry using the Patent Analysis (특허분석을 통한 첨단융합건설분야 연구동향 분석에 관한 연구)

  • Cho, Seung-Chul;Bong, Sun-Hark;Han, Seung-H.;Kim, Chang-Wan
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2007.04a
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    • pp.193-196
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    • 2007
  • Technology fusion has been recognized as one of the new emerging R&D areas in the construction industry. Therefore it is mandatory to identify important research streams of fusion R&D at the construction R&D planning phase, especially to technology follower. In order to generate innovative and promising fusion R&D programs effectively, this study analyzed research streams of fusion R&D for construction industry with the patent analysis by analyzing 352 patents. As a results, we suggest some important fusion R&D trends.

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Fusion of Decisions in Wireless Sensor Networks under Non-Gaussian Noise Channels at Large SNR (비 정규 분포 잡음 채널에서 높은 신호 대 잡음비를 갖는 무선 센서 네트워크의 정보 융합)

  • Park, Jin-Tae;Kim, Gi-Sung;Kim, Ki-Seon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.5
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    • pp.577-584
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    • 2009
  • Fusion of decisions in wireless sensor networks having flexibility on energy efficiency is studied in this paper. Two representative distributions, the generalized Gaussian and $\alpha$-stable probability density functions, are used to model non-Gaussian noise channels. By incorporating noise channels into the parallel fusion model, the optimal fusion rules are represented and suboptimal fusion rules are derived by using a large signal-to-noise ratio(SNR) approximation. For both distributions, the obtained suboptimal fusion rules are same and have equivalent form to the Chair-Varshney fusion rule(CVR). Thus, the CVR does not depend on the behavior of noise distributions that belong to the generalized Gaussian and $\alpha$-stable probability density functions. The simulation results show the suboptimality of the CVR at large SNRs.

Study on the Cooperation Model for Fusion-Technology Development in SMEs (융합기술 개발을 위한 중소기업 간 협업모형 제안)

  • Cho, Chanwoo;Lee, Sungjoo
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.3
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    • pp.198-203
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    • 2013
  • Industry convergence is the inexorable trend, which has become a fundamental concept to understand the industrial dynamics and to develop business strategies. However, most of the previous studies on convergence have dealt with the issues at the macro-level (technology- or industry-level), little attention has been paid to the analysis of convergence at the micro level (firm-level). Recognizing that firms are the principal agents that develop fusion technologies, it is encouraged to help firms to work together for technology convergence. Therefore, this research proposes a collaboration model for SMEs, since SMEs tend to have novel ideas and are flexible enough to make fusion-technology. To do this, we conducted a survey for Korean SMEs and analyzed their successful cases of collaboration, which was used as a basis to develop the model. The research results will help develop strategy or policy to promote the collaboration between SMEs and ultimately to make a fusion-technology.

Optimal Strategies for Cooperative Spectrum Sensing in Multiple Cross-over Cognitive Radio Networks

  • Hu, Hang;Xu, Youyun;Liu, Zhiwen;Li, Ning;Zhang, Hang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.12
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    • pp.3061-3080
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    • 2012
  • To improve the sensing performance, cooperation among secondary users can be utilized to collect space diversity. In this paper, we focus on the optimization of cooperative spectrum sensing in which multiple cognitive users efficiently cooperate to achieve superior detection accuracy with minimum sensing error probability in multiple cross-over cognitive radio networks. The analysis focuses on two fusion strategies: soft information fusion and hard information fusion. Under soft information fusion, the optimal threshold of the energy detector is derived in both noncooperative single-user and cooperative multiuser sensing scenarios. Under hard information fusion, the optimal randomized rule and the optimal decision threshold are derived according to the rule of minimum sensing error (MSE). MSE rule shows better performance on improving the final false alarm and detection probability simultaneously. By simulations, our proposed strategy optimizes the sensing performance for each cognitive user which is randomly distributed in the multiple cross-over cognitive radio networks.

QM and Pharmacophore based 3D-QSAR of MK886 Analogues against mPGES-1

  • Pasha, F.A.;Muddassar, M.;Jung, Hwan-Won;Yang, Beom-Seok;Lee, Cheol-Ju;Oh, Jung-Soo;Cho, Seung-Joo;Cho, Hoon
    • Bulletin of the Korean Chemical Society
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    • v.29 no.3
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    • pp.647-655
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    • 2008
  • Microsomal prostaglandin E2 synthase (mPGES-1) is a potent target for pain and inflammation. Various QSAR (quantitative structure activity relationship) analyses used to understand the factors affecting inhibitory potency for a series of MK886 analogues. We derived four QSAR models utilizing various quantum mechanical (QM) descriptors. These QM models indicate that steric, electrostatic and hydrophobic interaction can be important factors. Common pharmacophore hypotheses (CPHs) also have studied. The QSAR model derived by best-fitted CPHs considering hydrophobic, negative group and ring effect gave a reasonable result (q2 = 0.77, r2 = 0.97 and Rtestset = 0.90). The pharmacophore-derived molecular alignment subsequently used for 3D-QSAR. The CoMFA (Comparative Molecular Field Analysis) and CoMSIA (Comparative Molecular Similarity Indices Analysis) techniques employed on same series of mPGES-1 inhibitors which gives a statistically reasonable result (CoMFA; q2 = 0.90, r2 = 0.99. CoMSIA; q2 = 0.93, r2 = 1.00). All modeling results (QM-based QSAR, pharmacophore modeling and 3D-QSAR) imply steric, electrostatic and hydrophobic contribution to the inhibitory activity. CoMFA and CoMSIA models suggest the introduction of bulky group around ring B may enhance the inhibitory activity.

p-contact resistivity influence on device-reliability characteristics of GaN-based LEDs (p-contact 저항에 따른 GaN기반 LED의 device-reliability 특성)

  • Park, Min-Jung;Kim, Jin-Chul;Kim, Sei-Min;Jang, Sun-Ho;Park, Il-Kyu;Park, Si-Hyun;Cho, Yong;Jang, Ja-Soon
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2010.06a
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    • pp.159-159
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    • 2010
  • We conducted bum-in test by current stress to evaluate acceleration reliability characteristics about p-resistivity influence of GaN-based light-emitting diodes. The LEDs used in this study are the polarization field-induced LED(PF-LED) having low p-resistivity and the highly resistive LED(HR-LED) having high p-resistivity. The result of high stress experiment shows that current crowding phenomenon is occurred from the center of between p-bonding pad and n-bonding pad to either electrodes. In addition, series resistance and optical power decrease dramatically. These results means that the resistance of between p-bonding pad and p-GaN affect reliability. That's why we need to consider the ohmic contact of p-bonding pad when design the high efficiency and high reliability LEDs.

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