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Brain-Computer Interface using Near-Infrared Spectroscopy for Rehabilitation
Kazuki Yanagisawa,Kyohei Asaka,Hideyuki Sawai,Hitoshi Tsunashima,Takafumi Nagaoka,Takeo Tsujii,Kaoru Sakatani 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
This study proposes a new method for detecting brain activity level for brain-computer interface (BCI) using a near-infrared spectroscopy (NIRS) which is applicable for rehabilitation. NIRS detects the radiated near-infrared rays, and measures relative variations of oxygenated hemoglobin (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) based on those absorbencies. The proposed method detects the brain activity level using oxy-Hb and the differential value of oxy-Hb. Results with grasping task show that the proposed method is effective for the detecting of brain activity level.
Evaluation of pleasant and unpleasant emotions evoked by visual stimuli using NIRS
Kazuki Yanagisawa,Hitoshi Tsunashima 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
A relation between a level of brain activity and pleasant and unpleasant emotions has been studied using Near-infrared Spectroscopy (NIRS). In this study, the relation between the brain activity and the pleasant and unpleasant emotions was evaluated using International Affective Picture System (IAPS) and NIRS. Based on the NIRS recording for 21 participants, the effect of pleasant and unpleasant emotion on the brain activity was measured. The detection of pleasant and unpleasant emotion from NIRS signal was conducted using Neural Network. It was shown that the pleasant and unpleasant emotion can be detected with the accuracy of 96% (the highest) and 75% (average).
Extraction of GGO Regions from Chest CT Images Using Deep Learning
Kazuki HIRAYAMA,Noriaki MIYAKE,Huimin LU,Joo Kooi TAN,Hyoungseop KIM,Rie TACHIBANA,Yasushi HIRANO,Shoji KIDO 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10
Lung cancer is the leading cause of death which accounts for the number of deaths in cancer in the world. Early detection and early treatment are regarded as an important. Especially, the ground glass opacity (GGO) is a shadow called pre-cancerous lesion, but it is a shadow which is difficult to detect by a radiologist because of haze and complicated shape. Therefore, in recent years, a computer aided diagnosis (CAD) system has been developed for the purpose of improving the detection accuracy for early detection and reducing the burden to radiologists. In this paper, we extract the GGO using Deep Convolutional Neural Network (DCNN) based on emphasized images. Before detect a GGO region, we apply preprocessing such as isotropic voxel to the original images, and extraction of the lung area. Next, we remove the vessel and bronchial region by 3D line filter based on Hessian matrix, and extract the initial candidate regions using density gradient, volume and sphericity. Subsequently, we segment the candidate regions, extraction of features, and reducing false positive shadows. Finally we create emphasize images and identify with DCNN using those images. As a result of applying the proposed method to 31 cases on Lung Image Database Consortium (LIDC), we obtained a true positive rate (TP) of 86.05 [%] and false positive number (FP) of 4.81 [/case].
Kazuki Akamatsu,Ryo Nagumo,Shin-ichi Nakao 한국막학회 2020 멤브레인 Vol.30 No.4
This short review focuses on fouling by proteins and macromolecules in microfiltration/ultrafiltration. First, an experimental system that enables investigation of how the extent of the adsorption of proteins and macromolecules on membrane surfaces contributes to a decrease in filtrate flux in microfiltration/ultrafiltration is described. Using this system, a causal relationship - not a correlation - indicating that adsorption results in a decrease in filtrate flux could be clearly demonstrated in some cases. Second, a hydration structure at the membrane surface that can suppress adsorption is discussed, inspired by biomaterial research. In their hydrated states, polymers with low-fouling properties have water molecules with a particular structure. Finally, some successful examples of the development of low-fouling membranes via surface modification using low-fouling polymers are discussed.
Kazuki Senga,Kazuhiro Yubai,Daisuke Yashiro,Junji Hirai 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
In this paper, the stability condition and the robust performance condition are represented as a set of convex constraints with respect to the parameters of a linearly parameterized multivariable controller in the Nyquist diagram for the prespecified frequency points. This method can directly handle frequency-domain uncertainty without any modeling. Frequency-domain uncertainty can be minimized by appropriately selecting a nominal plant at each frequency point in the proposed approach. This paper proposes the design constraints to assure the desired control bandwidth and stability margin such as phase margin and gain margin to satisfy desired control specifications. The effectiveness of the proposed method is verified by comparison with the model-based approach by using μ-synthesis with the D-K iteration algorithm through an experimental result.
Optimal Operation Method for DC Smart-House With Smart Grid Considering Forecasted Error
Kazuki Ogimi,Kosuke Uchida,Atsushi Yona,Tomonobu Senjyu 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5
Renewable energy systems such as photovoltaic (PV) systems and solar collector (SC) systems are getting attention. Additionally, all electrification apartment house or residence such as DC smart-houses have increased in recent years. However, due to fluctuating power from renewable energy sources and load demand, balancing supply-demand of power systems becomes problematic. Therefore, to operate power systems using renewable energy, forecast of output power such as PV systems, moreover, reduction of its forecasted error are important. In this paper, it is proposed that a methodology for optimal operation of some smart-houses to comply interconnection point power within a bandwidth. And in the method, forecasted error of solar insolation and replanning operation plan are considerated.
Kazuki Matsumura,Taro Kinumoto,Tomoki Tsumura,Masahiro Toyoda 한국탄소학회 2019 Carbon Letters Vol.29 No.2
Herein, the edges in carbon materials were quantitatively evaluated by summing the amount of hydrogen and the amount of functional groups without hydrogen in the material. The amount of hydrogen in the carbon material was quantitated via temperature-programmed oxidation (TPO) under an oxygen atmosphere, whereas the amount of functional groups was determined via temperature-programmed desorption (TPD) of the sample under an inert atmosphere. Consequently, the amount of edges in exfoliated carbon fibers prepared from polyacrylonitrile (PAN) (referred to as PAN-1000) was 9.4 mmol g−1. In addition, Ketjen Black (KB) and activated carbon (AC) had edge content of 1.3 and 3.6 mmol g−1, respectively. Because the total amount of functional groups of PAN-1000, KB and AC were estimated to be 8.18, 0.082 and 1.02 mmol g−1 via TPD, the total amount of edges and oxygen-containing functional groups of each sample could be quantified. The difference between amount of edges and the amount of functional groups is speculated to correspond to the amount of edges terminated with hydrogen. This study revealed that detailed information about the edges such as their proportion terminated with oxygen-containing functional groups, the species and amount of oxygen-containing functional groups via a combination of TPO and TPD.
Modeling for Conducted Noise Simulation Considering Switching Characteristics on AC/DC Converter
Kazuki Kuwana,Yuki Kawamura,Wataru Kitagawa,Takaharu takeshita 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
This paper describes the modeling method to simulate conducted noises on isolated AC/DC converter using SiC devices. The equivalent circuit in simulation is calculated from measurement of leakage current. The modeling circuits of simulation are constituted RLC circuits and step voltage sources. This paper mentions higher precision modeling circuit considering switching characteristics which is voltage fraction time of switching.