Nagoya Institute of Technology

About: Nagoya Institute of Technology is a education organization based out in Nagoya, Japan. It is known for research contribution in the topics: Thin film & Catalysis. The organization has 10766 authors who have published 19140 publications receiving 255696 citations. The organization is also known as: Nagoya Kōgyō Daigaku & Nitech.

Optimizing Support Vector regression hyperparameters based on cross-validation

Abstract: This paper proposes a method to optimize hyperparameters for Support Vector (SV) regression so that the cross-validation error is minimized. The performance of SV regression depends on its hyperparameters such as /spl epsiv/ (the thickness of a tube), C (a penalty factor), /spl sigma/ (kernel function parameter), and so on. This paper employs the procedure of cross-validation to optimize these hyperparameters together with training the corresponding SV regression models; thus, the learning is performed by using a coordinate descent method. Since an error surface produced by the usual /spl epsiv/-insensitive l/sub 1/ loss is not smooth, not suitable for our approach, we introduce the /spl epsiv/-insensitive l/sub 2/ loss. The experiments show the l/sub 2/ loss produces very smooth error surfaces and our coordinate descent nicely works, reaching the model whose validation performance is globally optimal.

Kinetic resolution of allyl fluorides by enantioselective allylic trifluoromethylation based on silicon-assisted C-F bond cleavage.

Abstract: Two birds, one stone! The first kinetic resolution of allyl fluorides was achieved by the development of an organocatalyzed enantioselective allylic trifluoromethylation. Two kinds of chiral fluorinated compounds, which incorporate C*F and C*CF3 units, respectively, can thus be accessed by a single transformation.

Algorithm for detecting the first and the second heart sounds by spectral tracking

Abstract: A detection algorithm for the first and the second heart sounds, which is one of the most important problems in an automatic diagnostic system for phonocardiograms, has been developed. It is based on the frequency-domain characteristics of heart sounds analysed by a linear-prediction method. The performance of the algorithm has been evaluated in 187 samples that contain 881 cardiac cycles including normal and abnormal subjects. The algorithm uses low frequency spectral tracking for the time series of the phonocardiogram. It can track spectral level smoothly so that it is fairly effective for the detection of heart sounds. This tracking procedure can be used in other applications such as electroencephalogram processing.

Pressurized flow electrochromatography with reversed phase capillary columns

Abstract: Pressurized flow electrochromatography (PEC) is a hybrid of capillary LC and capillary electroendosmotic chromatography (CEC). Both a pressure gradient and an electric field are applied across a packed capillary. The feasability of a simple, easy to handle PEC instrumentation is demonstrated. Home made capillary columns with four different silica-based reversed phase packings have been operated under PEC conditions separating non ionic and ionic low molecular weight analytes. The capillary columns have been characterized with respect to their separation efficiency and selectivity and the results have been compared to those obtained with the purely pressure driven system. An electrochromatographic capacity factor is discussed.