• Genomics & Informatics
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• v.14 no.4
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• pp.241-254
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• 2016

Environmental microbes like Bordetella petrii has been established as a causative agent for various infectious diseases in human. Again, development of drug resistance in B. petrii challenged to combat against the infection. Identification of potential drug target and proposing a novel lead compound against the pathogen has a great aid and value. In this study, bioinformatics tools and technology have been applied to suggest a potential drug target by screening the proteome information of B. petrii DSM 12804 (accession No. PRJNA28135) from genome database of National Centre for Biotechnology information. In this regards, the inhibitory effect of nine natural compounds like ajoene (Allium sativum), allicin (A. sativum), cinnamaldehyde (Cinnamomum cassia), curcumin (Curcuma longa), gallotannin (active component of green tea and red wine), isoorientin (Anthopterus wardii), isovitexin (A. wardii), neral (Melissa officinalis), and vitexin (A. wardii) have been acknowledged with anti-bacterial properties and hence tested against identified drug target of B. petrii by implicating computational approach. The in silico studies revealed the hypothesis that lpxD could be a potential drug target and with recommendation of a strong inhibitory effect of selected natural compounds against infection caused due to B. petrii, would be further validated through in vitro experiments.

• Korean Journal of Pharmacognosy
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• v.15 no.3
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• pp.139-146
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• 1984

High performance liquid chromatographic separation is described for the analysis of bile acids after hydrolysis in seven commercial crude bile drugs and ox and pig galls. They are simultaneously separated with HPLC mobile phase of acetonitrile/0.5% ammonium carbonate (pH 6.7) (25.5 : 74.5) at a flow rate $(1.0{\rightarrow}1.5ml/min.)$ and differential refractometer. The linearity of calibration curve and recovery test are good by using the method. The analysis of major bile acids in seven commercial crude bile drugs using the described method is presented. Sample no. 1 of them is similar to separation pattern of ox gall. Sample no. 6 of them is supposed to be genuine bear gall on the basis of identification of ursodeoxycholic acid. Sample $no.\;2{\sim}5$ and 7 of them are supposed to be pig gall on the basis of identification of hyodeoxycholic acid which is a characteristic component of pig gall.

• Smart Structures and Systems
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• v.22 no.3
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• pp.359-368
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• 2018

A method is proposed for the identification of instantaneous frequencies (IFs) in time-varying structures. The proposed method combines a maximum gradient algorithm and a smoothing operation. The maximum gradient algorithm is designed to extract the wavelet ridges of response signals. The smoothing operation, based on a polynomial curve fitting algorithm and a threshold method, is employed to reduce the effects of random noises. To verify the effectiveness and accuracy of the proposed method, a numerical example of a signal with two frequency modulated components is investigated and an experimental test on a steel cable with time-varying tensions is also conducted. The results demonstrate that the proposed method can extract IFs from the noisy multi-component signals and practical response signals successfully. In addition, the proposed method can provide a better IF identification results than the standard synchrosqueezing wavelet transform.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.65-75
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• 2004

It is notorious that PIN(Personal Identification Number) is used widely for user verification and authentication in networked environment. But, when the user Identification and password are exposed by hacking, we can be damaged monetary damage as well as invasion of privacy. In this paper, we adopt face recognition-based authentication which have nothing to worry what the ID and password will be exposed. Also, we suggest the remote authentication and verification system by considering not only 2-Tier system but also 3-Tier system getting be distributed. In this research, we analyze the face feature data using the SVM(Support Vector Machine) and PCA(Principle Component Analysis), and implement artificial intelligence face recognition module in distributed environment which increase the authentication speed and heightens accuracy by utilizing artificial intelligence techniques.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.4
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• pp.347-354
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• 2009

Frequency analysis is one of the most useful way to analyze response signal for the purpose of grasping the dynamic characteristics of system through Fourier transformation. Although it is very effective way for frequency analysis, it is hard to analyze out a specific sound or vibration component which is correlated with others. In this thesis, source contribution analysis tool for NI-PXI equipment is developed with LabVIEW using coherences of MISO(multiple-input single-output) model. For the purpose of examining propriety of developed tool, simulation is performed with several correlated signals that have different frequency range. After checking the OCF(ordinary coherence function) and PCF(partial coherence function) of the each signal for concerned frequency domain, an experiment is conducted on an evaporator that cause the principal noise of a refrigerator. This developed tool will be expected to build up more convenient and serviceable measurement system.

• Smart Structures and Systems
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• v.3 no.4
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• pp.423-437
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• 2007

The empirical mode decomposition (EMD) method is well-known for its ability to decompose a multi-component signal into a set of intrinsic mode functions (IMFs). The method uses a sifting process in which local extrema of a signal are identified and followed by a spline fitting approximation for decomposition. This method provides an effective and robust approach for decomposing nonlinear and non-stationary signals. On the other hand, the IMF components do not automatically guarantee a well-defined physical meaning hence it is necessary to validate the IMF components carefully prior to any further processing and interpretation. In this paper, an attempt to use the EMD method to identify properties of nonlinear elastic multi-degree-of-freedom structures is explored. It is first shown that the IMF components of the displacement and velocity responses of a nonlinear elastic structure are numerically close to the nonlinear normal mode (NNM) responses obtained from two-dimensional invariant manifolds. The IMF components can then be used in the context of the NNM method to estimate the properties of the nonlinear elastic structure. A two-degree-of-freedom shear-beam building model is used as an example to illustrate the proposed technique. Numerical results show that combining the EMD and the NNM method provides a possible means for obtaining nonlinear properties in a structure.

• Natural Product Sciences
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• v.17 no.3
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• pp.202-205
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• 2011

The Angelica root has been used as a medicinal herb in many Asian countries including Korea, China, and Japan. Angelica gigas, A. sinensis, and A. acutiloba have been considered as Angelicae radix in Korean, Chinese, and Japanese Pharmacopoeia, respectively. Since the origins of Angelicae radix differ from country to country, there is a need to develop an efficient analytical method to identify the origin of the Angelica root. In order to obtain chemical fingerprints, three different Angelicae Radices were analyzed by direct analysis in real time mass spectrometry (DART-MS). Significantly different DART-MS spectra were observed from three different species of Angelicae Radix. Strong peaks of decursin or decusinol angelate, and its dimer were exclusively found from A. gigas. Ligustilide and linoleic acid were detected as the major component from A. acutiloba. The strongest ligustilide peak was observed from A. sinensis. DART-MS fingerprinting is a promising method for the rapid identification and/or quality control of Angelicae Radix.

• Proceedings of the KIEE Conference
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• 2006.10a
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• pp.143-144
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• 2006

Since one decade. the detection of High frequency Partial Discharge has been proposed as one of the effective method for the diagnosis of the power component under service in power grids. As a tool for this detection. UHF sensor based on the antenna technology has been commercialized for mainly GIS due to its advantages. However, regarding the recognition of the vital defects introducible into the GIS. different types of softwares have been proposed and employed without any convincing probability of identification. In this regards, our work leads us to suggest a novel method named "PA Map" to identify the defects inside the GIS based on the HFPD detection by use of HFCT sensor which is designed according to our patent.

• KSBB Journal
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• v.15 no.6
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• pp.673-676
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• 2000

In order to identification of carotenoid pigments of Haloarcular sp. EH-1 as a food for fish were analyzed. The content of carotenoids cultured in 3 L and 5 L bioreactor were 83.1 and 82.7 mg%, respectively. Identification of each carotenoid was achieved by means of co-TLC and co-HPLC with authentic specimens, spectroscopic and instrumental analyses, and chemical treatments as usual. The main components identified were ${\beta}$-carotene(8.1%), 3-hydroxyechinenone(42.0%) and astaxanthin(25.0%).

• 한국HCI학회:학술대회논문집
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• 2008.02c
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• pp.172-177
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• 2008

Biometrics is essential for person identification because of its uniqueness from each individuals. Face recognition technology has advantage over other biometrics because of its convenience and non-intrusive characteristics. In this paper, we will present a overview of face recognition technology including face detection, feature extraction, and face recognition system. For face detection, we will describe template based method and face component based approach. PCA and LDA approach will be discussed for feature extraction, and nearest neighbor classifiers -will be covered for matching. Large database and the standardized performance evaluation methodology is essential in order to support state-of-the-art face recognition system. Also, 3D based face recognition technology is the key solution for the pose, lighting and expression variations in many applications.