• ETRI Journal
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• v.32 no.2
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• pp.327-329
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• 2010

A fully integrated small form-factor HBT power amplifier (PA) was developed for UMTS Tx applications. For practical use, the PA was implemented with a well configured bottom dimension, and a CMOS control IC was added to enable/disable the HBT PA. By using helix-on-pad integrated passive device output matching, a chip-stacking technique in the assembly of the CMOS IC, and embedding of the bulky inductive lines in a multilayer substrate, the module size was greatly reduced to 2 mm ${\times}$ 2.2 mm. A stage-bypass technique was used to enhance the efficiency of the PA. The PA showed a low idle current of about 20 mA and a PAE of about15% at an output power of 16 dBm, while showing good linearity over the entire operating power range.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.338-341
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• 2003

Recently, the chaotic method is employed to forecast a near future of uncertain phenomena. This method makes it possible by restructuring an attractor of given time-series data in multi-dimensional space through Takens' embedding theory. However, many economical time-series data are not sufficiently chaotic. In other words, it is hard to forecast the future trend of such economical data on the basis of chaotic theory. In this paper, time-series data are divided into wave components using wavelet transform. It is shown that some divided components of time-series data show much more chaotic in the sense of correlation dimension than the original time-series data. The highly chaotic nature of the divided component enables us to precisely forecast the value or the movement of the time-series data in near future. The up and down movement of TOPICS value is shown so highly predicted by this method as 70％.

• Journal of Veterinary Clinics
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• v.17 no.1
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• pp.289-292
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• 2000

A Holstein cattle with third pregnancy was found to have clinical emergency findings of anxiety, dyspnea and recumbency at just before parturition. So Cesarean section and observation of internal organs were taken. Macroscopic examination showed enlargement of th lymph nodes and spleen, and ascites. A large tumor mass with solid and white to gray-white and focal hemorrhage, 55$\times$120cm in dimension and weighing 25.5kg was found in pelivc cavity. For conventional light microscopy, tissue samples were fixed in 10% neutral formalin solution, and then paraffin embedding, sectining and H-E staining were performed. In microscopic findings, tumor tissue, lymph node and spleeen were composed of mainly lymphoid tumor cells and the number of white blood cells in peripheral blood were increased 10-fold more than in normal. We concluded this tumor was bovine lymphoma.

• Bulletin of the Korean Mathematical Society
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• v.48 no.3
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• pp.505-521
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• 2011

We present a duality between the category of compact Riemannian spin manifolds (equipped with a given spin bundle and charge conjugation) with isometries as morphisms and a suitable "metric" category of spectral triples over commutative pre-$C^*$-algebras. We also construct an embedding of a "quotient" of the category of spectral triples introduced in [5] into the latter metric category. Finally we discuss a further related duality in the case of orientation and spin-preserving maps between manifolds of fixed dimension.

• Advances in Traditional Medicine
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• v.4 no.3
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• pp.215-218
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• 2004

We investigated the effect of Qi therapy (QT) on peripheral blood pressure (PBP), glucose, lactate dehydrogenase (LDH) and cortisol concentrations. Fourteen college students participated in receiving QT and placebo treatment. There were significant differences in embedding dimension of PBP. Plasma cortisol concentrations during QT were significantly lower than during control sessions (P

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.939-940
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• 2006

An integrated inductor using the low-temperature co-fired ceramics(LTCC ) technology for low-power electronics was fabricated. In the inductor NiZn ferrite sheet(${\mu}_r=230$), was embedded to increase inductance. The inductor has Ag spiral coil with 14 turns($7turns{\times}2layers$), a dimension of 0.6mm in width, 10um in thickness, and 0.15mm pitch. To evaluate the inductance, including the parasitic resistance, the fabricated inductor was calculated and measured. It was confirmed that calculated values were very close to the measured values. Finally as an application of the LTCC integrated inductor to low power electronic circuits, a LTCC buck DC/DC converter with 1W output power and up to 0.5MHz switching frequency using the inductor fabricated was develop.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1443-1447
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• 2012

In this paper, the characteristic of temperature variation was reviewed according to pattern variation. In order to degrade of diagnosis of power supply by using time series data for temperature measured by infrared camera it was transformed into 2 dimension phase plane using Takens embedding method. As a simulation results we cannot completely confirm the characteristic behaviors of nonlinear dynamics in phase plane. However these results has a certain patterns, it requires verification method through additional research in the future.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.55 no.10
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• pp.534-539
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• 2006

An integrated inductor using the low-temperature co-fired ceramics(LTCC) technology for low-power electronics was fabricated. In the inductor NiZn ferrite sheet$({\mu}_r=230)$, was embedded to increase inductance. The inductor has Ag spiral coil with 14 turns$(7turns{\times}2layers)$, a dimension of 0.6mm in width, 10um in thickness, and 0.15mm pitch. To evaluate the inductance, including the parasitic resistance, the fabricated inductor was calculated and measured. It was confirmed that calculated values were very close to the measured values. Finally as an application of the LTCC integrated inductor to low power electronic circuits, a LTCC boost DC/DC converter with 1W output power and up to 0.5MHz switching frequency using the inductor fabricated was developed.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.28 no.11
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• pp.1398-1406
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• 2004

The nonlinear signals from an impedance meter for the area average void fraction in two-phase flow have been analyzed to construct a phase space trajectory. The pseudo phase space was constructed with the time delay and proper dimensions. The time delay and the embedding dimension were chosen by the average mutual information and by the false nearest neighborhood, respectively. The attractor-density-map of projected states was used to produce the two dimensional probability distribution functions (2D-PDF). Since the developed 2D-PDF showed clear distinction of the flow patterns, the flow regime identification was made with three rules and with the 2D-PDF. Also, the transition criteria of Mishima-Ishii agree well with the present results.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.365-373
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• 1999

Recently, numerous studies have demonstrated that artificial intelligence such as neural networks can be an alternative methodology for classification problems to which traditional statistical methods have long been applied. In building neural network model, the selection of independent and dependent variables should be approached with great care and should be treated as a model construction process. Irrespective of the efficiency of a learning procedure in terms of convergence, generalization and stability, the ultimate performance of the estimator will depend on the relevance of the selected input variables and the quality of the data used. Approaches developed in statistical methods such as correlation analysis and stepwise selection method are often very useful. These methods, however, may not be the optimal ones for the development of neural network models. In this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables for neural network modeling. The proposed approach is demonstrated by applications to bankruptcy prediction modeling. Our experimental results show that this approach increases overall classification accuracy rate significantly.