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Junichi Kako

dblp:175/9487 · also Jun-ichi Kako · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Energy systems and smart grids · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids › electric vehicle
hybrid electric vehicle energy management
0.412019
Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption · Sci. China Inf. Sci. 2019
Energy systems and smart grids
vehicle powertrain
0.412019
Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption · Sci. China Inf. Sci. 2019
Energy systems and smart grids › energy management
energy optimization
0.112019
Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption · Sci. China Inf. Sci. 2019
Embedded and real-time systems › cyber-physical systems
cyber-physical system control
0.112007
Coordinated Nonlinear Speed Control Approach for SI Engine With Alternator · Proc. IEEE 2007

Methods — techniques the papers use, named apart from their topics

energy consumption optimization · 0.4dynamic modeling · 0.4state feedback control · 0.1l2-gain control · 0.1disturbance rejection · 0.1
YearPublicationVenuePosition
2019 Dynamical model of HEV with two planetary gear units and its application to optimization of energy consumption
Jiangyan Zhang, Shota Inuzuka, Takafumi Kojima, Tielong Shen, Junichi Kako
Sci. China Inf. Sci.5
2007 Coordinated Nonlinear Speed Control Approach for SI Engine With Alternator
abstract
In the paper, the speed control problem for spark-ignition (SI) engine with alternator is investigated. The problem is addressed from the engine side and the alternator side, respectively, and two coordinated control schemes are proposed for two different operating modes. From the engine side, the torque produced by the alternator is treated as the external disturbance, and a state feedback controller with the magnetic torque feedforward is designed for regulating the engine speed. And from the alternator side, the engine torque ripple is considered as the external disturbance of the alternator rotational dynamics. A disturbance rejection method is proposed to achieve the$L_{2}$-gain performance for the speed servo error. Finally, to demonstrate the validity of the proposed approaches, some simulation results will be shown.
Kai Zheng 0004, Tielong Shen, Junichi Kako, Shozo Yoshida
Proc. IEEE4
1998 Automatic detection of lung cancers in chest CT images by variable N-Quoit filter
abstract
We report the image processing technique for computer-aided diagnosis of the lung cancer screening system by CT (LSCT). LSCT is a mobile-type CT scanner for the mass screening of lung cancer. In this LSCT system, one essential problem is the increase of image information to be diagnosed by a doctor to about 30 slices per patient from 1 X-ray film. To solve this difficult problem, we are trying to reduce the image information drastically to be displayed for the doctor by image processing techniques. We propose a new method named variable new-Quoit filter for the automatic recognition of the pathological shadow candidates. Our computer aided diagnosis (CAD) system can satisfactorily reduce the number of CT cross sections by this method, containing the abnormal shadow candidates.
Toshiaki Okumura, Tomoko Miwa, Junichi Kako, Shinji Yamamoto, Mitsuomi Matsumoto, Yukio Tateno, Takeshi Iinuma, Toru Matsumoto 0001
ICPR3