• Title/Summary/Keyword: Matrices

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Damage Detection of Truss Structure based on the Predicted Change of Parameter Matrices (파라미터행렬의 변화량 추정에 근거한 트러스 구조물의 손상탐지)

  • Kang, Taik-Seon;Lee, Byeong-Hyeon;Eun, Hee-Chang
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.1
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    • pp.27-32
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    • 2018
  • This work provides the analytical methods to represent the updated form of stiffness or flexibility matrices using the measurements of the first few natural frequencies and the corresponding mode shapes. This study derives the mathematical forms on the variance of stiffness or flexibility matrices to minimize the performance index in the satisfaction of the eigen-function including the residual force depending on the measured data. The proposed methods can be utilized in detecting damage and updating the parameter matrices deviated from the analytical parameter matrices. The validity of the proposed methods is investigated in a numerical experiment of truss structure and the numerical results of stiffness-based and flexibility-based methods are compared. The sensitivity to the external noise is also examined for applying to the practical work.

ANNs on Co-occurrence Matrices for Mobile Malware Detection

  • Xiao, Xi;Wang, Zhenlong;Li, Qi;Li, Qing;Jiang, Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.7
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    • pp.2736-2754
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    • 2015
  • Android dominates the mobile operating system market, which stimulates the rapid spread of mobile malware. It is quite challenging to detect mobile malware. System call sequence analysis is widely used to identify malware. However, the malware detection accuracy of existing approaches is not satisfactory since they do not consider correlation of system calls in the sequence. In this paper, we propose a new scheme called Artificial Neural Networks (ANNs) on Co-occurrence Matrices Droid (ANNCMDroid), using co-occurrence matrices to mine correlation of system calls. Our key observation is that correlation of system calls is significantly different between malware and benign software, which can be accurately expressed by co-occurrence matrices, and ANNs can effectively identify anomaly in the co-occurrence matrices. Thus at first we calculate co-occurrence matrices from the system call sequences and then convert them into vectors. Finally, these vectors are fed into ANN to detect malware. We demonstrate the effectiveness of ANNCMDroid by real experiments. Experimental results show that only 4 applications among 594 evaluated benign applications are falsely detected as malware, and only 18 applications among 614 evaluated malicious applications are not detected. As a result, ANNCMDroid achieved an F-Score of 0.981878, which is much higher than other methods.

Controlled Release and Stabilization of Cefaclor from Alginate-based Matrices for Oral Delivery Design

  • Bak, So-Im;Lee, Jue-Yeon;Song, Hye-Won;Hwang, Jeong-Hyo;Lee, Seung-Jin
    • Journal of Pharmaceutical Investigation
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    • v.32 no.4
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    • pp.327-330
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    • 2002
  • Alginate based polymeric matrices were designed for controlled release and stabilization of cefaclor in gastrointestinal fluid. Cefaclor is known to be acid stable and subjected to be degraded at neutral and alkaline pHs. In order to achieve an effective release profile of cefaclor in gastrointestinal tract, a particular strategy in dosage form design should be required from the view point of maintaining its activity. The amphiphilic nature of cefaclor allowed its controlled release using ionic polymers based on ionic interaction between the drug and polymers. The thrust of this study was to develop a technique that delivers cefaclor keeping effective release rate in the intestinal tract. Considering the fast degradation of cefaclor in the intestinal fluid, the matrices were designed to release surplus amount of cefaclor. The alginate based matrices demonstrated increase in release rate in the simulated intestinal fluid, which was favorable to compensate the degraded portion of cefaclor. In addition, stabilization of cefaclor in the intestinal fluid was obtained by employing citric acid that provides an local acidic environment. The matrices might be valuably used for the development of an oral cefaclor dosage form.

Weighting Matrices of LQR and ILQR Controllers Considering Structural Energy (구조물의 에너지를 고려한 LQR 및 ILQR제어기의 가중행렬)

  • 민경원;이영철;박민규
    • Journal of the Earthquake Engineering Society of Korea
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    • v.6 no.6
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    • pp.49-53
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    • 2002
  • This paper provides the systematic procedure to determine the weighting matrices of optimal controllers considering structural energy. Optimal controllers consist of LQR and ILQR. The weighting matrices are needed first in the conventional optimal control design strategy. However, they are in general dependent on the experienced knowledge of control designers. Applying the Lyapunov function to total structural energy and using the condition that its derivative is negative, we can determine the weighting matrices without difficulty. It is proven that the control efficiency with using determined weighting matrices is achieved well for LQR and ILQR controllers.

Excited-state Intramolecular Proton Transfer of 1,5- and 1,8-Dihydroxyanthraquinones Chemically Adsorpted onto SiO2, SiO2-Al2O3, and Al2O3 Matrices

  • Cho, Dae-Won;Song, Ki-Dong;Park, Seong-Kyu;Jeon, Ki-Seok;Yoon, Min-Joong
    • Bulletin of the Korean Chemical Society
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    • v.28 no.4
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    • pp.647-651
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    • 2007
  • In order to investigate the excited-state intramolecular proton transfer (ESIPT) process of dihydroxyanthraquinones (DHAQ; 1,5-DHAQ and 1,8-DHAQ) in organic-inorganic hybrid matrices, transparent SiO2, SiO2- Al2O3, and Al2O3 matrices chemically bonded with DHAQ were prepared using a sol-gel technique. The absorption maxima of 1,5- and 1,8-DHAQ in SiO2 matrices are observed at around 420 nm, whereas those of DHAQ in both SiO2-Al2O3 and Al2O3 matrices are markedly shifted to longer wavelength compared with those in SiO2 matrix. This indicates that DAHQ forms a chemical bond with an Al atom of Al2O3. The DHAQ in SiO2 matrix shows a markedly Stokes-shifted emission which is originated from the ESIPT in DHAQ. Based on the emission lifetimes of DHAQ, the ESIPT of DHAQ was found to be strongly affected by the chemical interaction with Al atom in the Al2O3-related matrices.

Influence of Dilauroyl Peroxide on Mechanical and Thermal Properties of Different Polypropylene Matrices (Dilauroyl Peroxide의 PP에 대한 기계적, 열적 성질 변화)

  • Sirin, Kamil;Yavuz, Mesut;Canli, Murat
    • Polymer(Korea)
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    • v.39 no.2
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    • pp.200-209
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    • 2015
  • In this study, the influence of dilauroyl peroxide on mechanical and thermal properties of different polypropylene (PP) matrices was investigated. Polypropylene matrices, different molecular weight isotactic PP containing 0.01, 0.02, 0.04, 0.06, 0.08, and 0.1 wt% of dilauroyl peroxide (DLP) were prepared by using a single-screw extruder. The effect of the visbreaking agent (DLP) on mechanical, physical, thermal and morphological properties of different molecular weight PP had been studied. Mechanical properties (tensile strength at break point, at yield and elongation at break point), melt flow index (MFI), scanning electron microscope (SEM) and differential scanning calorimetric (DSC) analyses of these matrices were examined. Melting ($T_m$) and crystallization ($T_c$) temperatures, crystallinity ratio (%) and enthalpies were determined. The microstructure of isotactic polypropylene matrix was investigated by scanning electron microscopy (SEM). From SEM analysis, it was observed that the surface disorder increased by the increasing amount of DLP. As a result of DSC analyses, the crystallinity ratio of the PP matrices has varied between 1.64-7.27%. Mechanical properties of the matrices have been improved. Particularly, the mechanical tests of PP have given interesting results when compounded with 0.06-0.08 wt% dilauroyl peroxide (DLP). Mechanical properties and thermal decomposition processes were all changed by increasing the amount of DLP in the matrix structure.

A Class of Check Matrices Constructed from Euclidean Geometry and Their Application to Quantum LDPC Codes

  • Dong, Cao;Yaoliang, Song
    • Journal of Communications and Networks
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    • v.15 no.1
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    • pp.71-76
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    • 2013
  • A new class of quantum low-density parity-check (LDPC) codes whose parity-check matrices are dual-containing matrices constructed based on lines of Euclidean geometries (EGs) is presented. The parity-check matrices of our quantum codes contain one and only one 4-cycle in every two rows and have better distance properties. However, the classical parity-check matrix constructed from EGs does not satisfy the condition of dual-containing. In some parameter conditions, parts of the rows in the matrix maybe have not any nonzero element in common. Notably, we propose four families of fascinating structure according to changes in all the parameters, and the parity-check matrices are adopted to satisfy the requirement of dual-containing. Series of matrix properties are proved. Construction methods of the parity-check matrices with dual-containing property are given. The simulation results show that the quantum LDPC codes constructed by this method perform very well over the depolarizing channel when decoded with iterative decoding based on the sum-product algorithm. Also, the quantum codes constructed in this paper outperform other quantum codes based on EGs.

Control of Drug Release from Polymeric Matrices Coated with Poly(DL-lactide) I. Effect of Coasting Substance on the Drug Release in pH 1.2 Hydrochloride Solution (Poly(DL-lactide)로 피막된 고분자 매트릭스로부터 약물 방출 조절 I. pH 1.2 염산 용액에서 피막물질이 약물방출에 미치는 영향)

  • 나재운;박영훈
    • KSBB Journal
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    • v.14 no.3
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    • pp.297-302
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    • 1999
  • The polymeric matrices coated with poly(DL-lactide) were prepared using chitosan derivatives such as chitosan, chitosan hydrochloride, and sulfonated chitosan for application of drug delivery systems. The drug release study using prednisolone as a model drug was performed in the hydrochloride solution at pH 1.2. The release rate of drug was decreased according to the increased content of matrices. The release rate of prednisolone according to the kinds of polymeric matrices coated were decreased in the order to chitosan, sulfonated chitosan, and chitosan hydrochloride. Drug release rate of polymeric matrices coated with poly(DL-lactide) was not only two times slower than noncoated one, but also the burst effect of initial period of drug release was decreased in comparison with noncoated one. From these results, it was expected that these formulations based on the chitosan derivative matrices coasted with poly(DL-lactide) were acceptable drug delivery devices for a sustained-release dosage form of drug.

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An Approach for Estimating Traffic-Zonal Origin-Destination Matrices(O-D) from Toll Collection System's Ones (고속도로 영업소간 기.종점통행량으로부터 교통죤간 기.종점통행량 추정기법 연구)

  • 신언교;황부연;신승원
    • Journal of Korean Society of Transportation
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    • v.17 no.1
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    • pp.7-17
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    • 1999
  • The expressway network includes a total of about 1,899 km in our country The only 1,016 km of that is being managed by the closed Toll Collection System(TCS) which is composed of 74 tollgates. We obtain inter-tollgate O-D matrices from that system everyday. But, they are not traffic-zonal O-D matrices. So they have not been used for the expressway traffic analysis and the traffic demand estimation despite of their accuracy. If we could estimate the traffic-zonal O-D matrices from TCS O-D ones, we could perform expressway traffic analysis more efficiently. Moreover we could obtain more precise expressway O-D matrices and traffic-zonal O/D ones by this approach than by the conventional ones. In this paper. we proposed the model estimating traffic-zonal O/D matrices from TCS O-D ones. The assigned volumes with the estimated traffic-zonal O-D matrices produced the only 17.9% error all over the TCS expressway section when compared to the real traffic volumes. So, the proposed model enables for us to estimate more accurate O/D matrics than any other existing methods.

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