• 제목/요약/키워드: Embedding dimension

검색결과 75건 처리시간 0.024초

Ultra-small Form-Factor Helix on Pad-Type Stage-Bypass WCDMA Tx Power Amplifier Using a Chip-Stacking Technique and a Multilayer Substrate

  • Yoo, Chang-Hyun;Kim, Jung-Hyun
    • ETRI Journal
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    • 제32권2호
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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.

Chaotic Forecast of Time-Series Data Using Inverse Wavelet Transform

  • Matsumoto, Yoshiyuki;Yabuuchi, Yoshiyuki;Watada, Junzo
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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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%.

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젖소에서 발생된 림프종의 1증례 (A Case of Lymphoma in a Holstein Cattle)

  • 곽수동;김종섭;김순복;노규진;고필옥
    • 한국임상수의학회지
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    • 제17권1호
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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.

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A REMARK ON GEL'FAND DUALITY FOR SPECTRAL TRIPLES

  • Bertozzini, Paolo;Conti, Roberto;Lewkeeratiyutkul, Wicharn
    • 대한수학회보
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    • 제48권3호
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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.

Qi-therapy, chaotic characteristics of peripheral blood pressure and biochemical variables

  • Lee, Myeong-Soo;Rim, Young-Hoon
    • Advances in Traditional Medicine
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    • 제4권3호
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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

NiZn 페라이트를 내장한 LTCC 인덕터 개발 및 응용 (An LTCC Inductor Embedding NiZn Ferrite and Its Application)

  • 원유준;김희준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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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.

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열화상 카메라의 시계열 데이터를 이용한 수·변전설비의 진단 (Diagnosis of power supply using time-series of infrared camera)

  • 황석승;배영철
    • 한국전자통신학회논문지
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    • 제7권6호
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    • pp.1443-1447
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    • 2012
  • 본 논문에서는 수 변전 설비의 열화진단을 위해서 열화상 카메라로 측정한 온도에 대한 시계열 데이터를 타켄스의 매립법을 이용하여 2차원 위상 공간으로 변환하여 패턴 변화에 따른 온도 변화 특성을 살펴보았다. 시뮬레이션 결과 위상 공간에서의 완전한 비선형적인 특성 거동을 확인할 수 없었지만 특정한 패턴을 가지고 있어 앞으로 추가적인 연구를 통한 검증 방법이 요구된다.

NiZn 페라이트를 내장한 LTCC 인덕터 및 응용 (An LTCC Inductor Embedding NiZn Ferrite and Its Application)

  • 원유준;김희준
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제55권10호
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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.

비선형 위상공간에서의 기포 분율 신호의 끌개밀도분식을 이용한 수직 상향 이상유동의 유동패턴분류 (Flow Pattern Identification of Vertical Upward Two-Phase Flow Using the Attractor-Density-Map Analysis of the Void Fraction Signal in the Nonlinear Phase Space)

  • 김남석;이재영
    • 대한기계학회논문집B
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    • 제28권11호
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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.

유전자 알고리즘을 활용한 인공신경망 모형 최적입력변수의 선정 : 부도예측 모형을 중심으로 (Using GA based Input Selection Method for Artificial Neural Network Modeling Application to Bankruptcy Prediction)

  • 홍승현;신경식
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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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.

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