スポンサーリンク
Faculty Of General Education Kumamoto University | 論文
- Specific Heat of a New Dense-Kondo System CeTIn (T=Ni,Pb,Pt)
- Ferroelectric Liquid Crystal Mixtures Containing Chiral Pyranose Compounds for Response-Voltage Minimum Mode
- Investigation of Discharge Phenomena in a Cell of Color Plasma Display Panel I. : One-Dimensional Model and Numerical Method
- Design of High Pressure Apparatus to Use at Low Temperature and High magnetic Field
- Reduction of Beam Divergence Angle by Low-Refractive-Index Layers Introduced to Real-Refractive-Index-Guided GaAlAs High-Power Laser Diodes
- 120 mW High-Power Low-Noise GaAlAs Multiple-Quantum-Well Laser Diodes with a New Real Refractive Index Guided Self-Aligned Structure
- Generalization of Shift Invariant Neural Networks : Image Processing of Corneal Endothelium
- An Adaptive Neural Network: Application to Character Recognition on X-ray Films
- Learning Generalization by Validation Set
- Detection of Cell Membranes in Human Corneal Endothelial Micrograms Using Mathematical Morphology
- Relaxation Process of the Thermal Strain in the GaN/α-Al_2O_3 Heterostructure and Determination of the Intrinsic Lattice Constants of GaN Free from the Strain
- Metalorganie Vapor Phase Epitaxial Growth and Properties of GaN/Al_Ga_N Layered Structures
- Cathodoluminescence Properties of Undoped and Zn-Doped Al_xGa_N Grown by Melalorganic Vapor Phase Epitaxy
- Reduction of Threading Dislocations in GaN on Sapphire by Buffer Layer Annealing in Low-Pressure Metalorganic Chemical Vapor Deposition
- New 3.5〃 Magneto-Optical Disk System:1.3GB GIGAMO : Technology, Design Concept and Reliability
- Novel Ferroelectric Liquid Crystals Derived from Trifluoromethylated Pyranoses Showing Very Large Spontaneous Polarization
- Synthesis and Properties of Pyranose Derivatives with Trifluoromethyl Group Used as Chiral Dopants for Ferroelectric Liquid Crystals
- Incidence Angle Dependences of Columnar Grain Structure and Texture in Obliquely Deposited Iron Films
- Realization of a Gravity-Capillary Wave Surface Using Sub-Nyquist Spectral Samples
- Optical Learning Neural Network Using Photorefractive Waveguides