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The EEG Analysis Method for Obtaining the Feeling
Yohei Tomita,Shin-ichi Ito,Yasue Mitsukura 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
The electroencephalogram (EEG), the brain activity of neurons in the brain, is used to record brain activity for many purposes. It also changes depends on mental conditions because mental conditions are generated in the brain. In this study, we try to estimate the mental conditions by observing the EEG patterns. The EEG data caused by mental changes is obtained as giving the subjects animal assisted therapy. The method for estimation is AdaBoosting as the neural network. We set the input vector as EEG changes and output vector is set as mental changes. Subjects are 25 people: 19 males and 6 females (age: 21-24 years old). Previous study reveals the correlation between the EEG and the activeness, and between the EEG and the tiredness. Therefore, in this paper, we try to estimate these mental parameters by the EEG at the first step.
The Music Analysis Method Based on Melody Analysis
Tsukasa Endo,Shin-ichi Ito,Yasue Mitsukura,Minoru Fukumi 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Recently, we can have large amounts of music thanks to the development of the computer technology. However, as the data of the music becomes larger, it is a hassle to classify the music based on the music content manually. We think that it is necessary to categorize the music automatically based on our mood. In this paper, we propose a novel method to analyze the music automatically based on melody analysis. The proposed method considers music genres as the measure of music analysis. We extract the acoustic features to characterize the music. Then, we classify music using multi-class classifiers based on the support vector machine (SVM).We adopt two approaches to the multi-class classification method. Furthermore, we propose a visualization method to specify the musical structure on the music genres from the classification result. Finally, computer simulations are done by using real music data in order to prove the effectiveness of the proposed method.
Shibayama Naoyuki,Kanda Hiroyuki,Yusa Shin-ichi,Fukumoto Shota,Baranwal Ajay K.,Segawa Hiroshi,Miyasaka Tsutomu,Ito Seigo 나노기술연구협의회 2017 Nano Convergence Vol.4 No.18
We confirmed the influence of ZnO nanoparticle size and residual water on performance of all inorganic perovskite solar cells. By decreasing the size of the ZnO nanoparticles, the short-circuit current density (Jsc) and open circuit photovoltage (Voc) values are increased and the conversion efficiency is improved. Although the Voc value is not affected by the influence of residual water in the solution for preparing the ZnO layer, the Jsc value drops greatly. As a result, it was found that it is important to use the oxide nanoparticles with a small particle diameter and to reduce the water content in the oxide forming material in order to manufacture a highly efficient all inorganic perovskite solar cells.
Angle-Resolved Photoemission Spectroscopy on Mixed-Valent Sm1−xYxS
Keiichiro Imura,Tetsuya Hajiri,Masaharu Matsunami,Shin-ichi Kimura,Masaki Kaneko,Takahiro Ito,Yusuke Nishi,Noriaki K. Sato,Hiroyuki S. Suzuki 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.12
We report the results of angle-resolved photoemission spectroscopy (ARPES) on the Sm1−xYxSsystem, which exhibits a black-to-golden phase transition induced by yttrium substitution and by anapplied external pressure, in order to investigate the mechanism of this transition and the electronicstructure of both phases. The obtained ARPES spectrum of pure SmS (x = 0) indicates a bandinsulator, in which the shallowest electronic state is the Sm2+ 4f state at a binding energy of about0.4 eV. With increasing x, the top of the Sm2+ 4f band shifts to the lower binding energy side andtouches the Fermi level for x = 0.33. Because of the discontinuous reduction of the lattice constantin the vicinity of the black-to-golden phase transition (x 0.17), the golden phase induced byyttrium substitution is concluded to be an intermediate valence state.
Prediction of Tandem Repeat Polymorphisms in the Coding Region of Dog Genome
Kyung Won Hong,Yumi Nakae,Tae Hyung Kim,Su An Cho,Shin`ichi Ito,Miho Inoue Murayama 한국유전학회 2009 Genes & Genomics Vol.31 No.4
After the dog genome was sequenced, an increasing number of studies involving genetic research of dogs have been conducted to understand gene functions and mammalian evolution. To study the genetic diversity in dogs and other mammals, genetic markers linked to function and conserved in wide lineages are necessary. Thus far, few polymorphic markers have been used in dogs. In this study, we surveyed the entire dog genome and predicted a total of 109 tandem repeats (TRs) located on the protein coding region that may be polymorphic by our prediction model. We selected 10 TRs that may be related to neurophysiology and neural developments, and tested them in 167 individuals of 8 dog breeds: 5 European dog breeds (Beagle, Golden Retriever, Labrador Retriever, German Shepherd, and Toy Poodle) and 3 Japanese dog breeds (Japanese Spitz, Shiba, and Shikoku). Among the tested TRs, nine were polymorphic indicating that 90% of the TRs were successfully predicted to be polymorphic. PCR fragments of the TRs were amplified from dog brain cDNA, showing their expression in the dog brain. Our results provide abundant opportunities for the study of phenotypic variations in dogs, and our prediction method for variable number of tandem repeats (VNTRs) can be applied to any other animal genome sequences for the survey of functional and polymorphic markers.