NAKAMORI Seiichi

J-GLOBAL         Last updated: Sep 13, 2019 at 15:56
 
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Name
NAKAMORI Seiichi
E-mail
k6165161kadai.jp
URL
http://k6165161.wixsite.com/nakamori-mysite
Affiliation
Kagoshima University
Section
Faculty of Education, Technology Educatin
Job title
Specially Appointed Professor, Professor Emeritus
Degree
Docter of Engineering(Kyoto University)

Research Areas

 
 

Academic & Professional Experience

 
1974
 - 
1985
Assistant, Faculty of Engineering, Ohita
 
 
   
 
      University
 
1985
 - 
1987
Lecturer, Faculty of Engineering, Ohita
 
 
   
 
      University
 
1987
 - 
1994
Associate Professor, Department of
 

Education

 
 
 - 
1974
Faculty of Engineering, Kagoshima University
 

Committee Memberships

 
1998
   
 
The Society of Instrument and Control Engineers  Councilor of Kyushu Branchi Office
 

Published Papers

 
NAKAMORI Seiichi
Computer Reviews Journal   4 43-57   Aug 2019   [Refereed]
This paper, by combining the robust recursive least-squares (RLS) Wiener filter and the RLS Wiener fixed-lag smoothing algorithm, proposes the robust RLS Wiener fixed-lag smoothing algorithm. In the robust estimation problem, it is assumed that th...
NAKAMORI Seiichi
Computer Reviews Journal   4 18-33   Aug 2019   [Refereed]
This paper proposes the robust estimation technique for the signal and the state variables with respect to the state-space model having the general types of system matrices in linear discrete-time stochastic systems with the uncertain parameters. ...
NAKAMORI Seiichi
Frontiers in Signal Processing   3(2) 19-36   Apr 2019   [Refereed]
This paper proposes the robust recursive least-squares (RLS) finite impulse response
(FIR) filtering algorithm using the covariance information and the robust RLS Wiener FIR filtering algorithm in linear discrete-time stochastic systems with the p...
NAKAMORI Seiichi
Frontiers in Signal Processing   3(1) 1-18   Jan 2019   [Refereed]
This paper proposes the robust recursive least-squares (RLS) Wiener fixed-point smoother and filter in linear discrete-time stochastic systems with parameter uncertainties. The uncertain parameters exist in the observation matrix and the system ma...
NAKAMORI Seiichi
Computer Reviews Journal   2 249-266   Nov 2018   [Refereed]
The purpose of this paper is to design the recursive least-squares (RLS) Wiener fixed-point smoother and filter in linear discrete-time descriptor systems. The signal process is observed with additional observation noise. The observed value is ran...
NAKAMORI Seiichi
Applied Mathematics and Computation   334 94-106   Oct 2018   [Refereed]
This paper proposes the least-squares (LS) finite impulse response (FIR) fixed-lag smoother and filter in linear discrete-time wide-sense stationary stochastic systems. The FIR fixed-lag smoothing estimate is given as a linear convolution sum of t...
NAKAMORI Seiichi
Computer Reviews Journal   1(2) 136-147   Aug 2018   [Refereed]
It is known that the stochastic descriptor systems are transformed into the conventional state equation, the observation equation and the other equation, by using the singular value decomposition. Based on the preliminary problem formulation for t...
NAKAMORI Seiichi
Advanced Computing (Computer Reviews Journal)   1(1) 115-135   Apr 2018   [Refereed]
This paper designs the recursive least-squares (RLS) Wiener fixed-point smoother and filter from randomly delayed observed values by multiple sampling times or uncertain observations in linear discrete-time stochastic systems. The observed value...
NAKAMORI Seiichi
Scholars Journal of Research in Mathematics and Computer Science   2(2) 159-172   Jan 2018   [Refereed]
This paper proposes the least-squares (LS) finite impulse response (FIR) smoother estimating the signal at the start time of the fixed interval in the FIR smoother and filter in linear discrete-time wide-sense stationary stochastic systems. It is ...
NAKAMORI Seiichi
Scholars Journal of Research in Mathematics and Computer Science   2(2) 130-146   Jan 2018   [Refereed]
This paper, by maximizing the conditional probability density function of the state vector given the observed values, presents discrete-time suboptimal maximum a posteriori (MAP) estimators for the nonlinear observation equation with additive whit...
NAKAMORI Seiichi
Frontiers in Signal Processing   1(2) 49-61   Aug 2017   [Refereed][Invited]
This paper designs the recursive least-squares (RLS) Wiener finite impulse response (FIR) predictor and filter, based on the innovation approach, in linear discrete-time stochastic systems. It is assumed that the signal is observed with additive w...
NAKAMORI Seiichi
Frontiers in Signal Processing   1(1) 8-16   Jul 2017   [Refereed]
This paper newly proposes the recursive least-squares (RLS) fixed-interval smoother and filter, based on the innovation theory, in linear continuous-time stochastic systems. It is assumed that the signal is observed with additive white noise and t...
NAKAMORI Seiichi
Systems Science and Applied Mathematics   1(3) 29-37   Dec 2016   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Applied Mathematics and Computation   225 184-194   Dec 2013   [Refereed]
Seiichi Nakamori
Applied Mathematics and Computation   219(17) 9598-9608   2013   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,Josefa Linares-Pérez
J. Signal and Information Processing   2(3) 152-158   2011   [Refereed]
Seiichi Nakamori,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Applied Mathematics and Computation   193(1) 162-174   Oct 2007   [Refereed]
Seiichi Nakamori
Applied Mathematics and Computation   188(2) 1656-1665   May 2007   [Refereed]
Seiichi Nakamori,Array,Array
Signal Processing   86(10) 3012-3020   2006   [Refereed]
Seiichi Nakamori,Array,Array
IEICE Transactions   89-A(2) 486-493   2006   [Refereed]
Seiichi Nakamori,Array,Array,Array
Int. J. Systems Science   36(10) 617-629   2005   [Refereed]
Seiichi Nakamori,Aurora Hermoso-Carazo,José D. Jiménez-López,Josefa Linares-Pérez
ICINCO 2004, Proceedings of the First International Conference on Informatics in Control, Automation and Robotics, Setúbal, Portugal, August 25-28, 2004   324-327   2004   [Refereed]
Seiichi Nakamori,Array,Array
IEICE Transactions   88-A(4) 988-995   2005   [Refereed]
Seiichi Nakamori,Array,Array,Array
Digital Signal Processing   15(2) 207-221   2005   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Applied Mathematics and Computation   165(3) 731-747   2005   [Refereed]
Seiichi Nakamori,Array,Array
Digital Signal Processing   16(4) 369-388   2006   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Applied Mathematics and Computation   135(2-3) 429-441   2003   [Refereed]
Seiichi Nakamori,María J. García-Ligero,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Applied Mathematics and Computation   176(2) 662-672   2006   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,José D. Jiménez-López,Josefa Linares-Pérez
Applied Mathematics and Computation   176(2) 642-653   2006   [Refereed]
Seiichi Nakamori,Array,Array,Array
Applied Mathematics and Computation   162(1) 65-79   2005   [Refereed]
Seiichi Nakamori
Applied Mathematics and Computation   159(2) 303-315   2004   [Refereed]
Seiichi Nakamori
Applied Mathematics and Computation   156(2) 415-426   2004   [Refereed]
Seiichi Nakamori,Array,Array,Array
Applied Mathematics and Computation   155(1) 65-79   2004   [Refereed]
Seiichi Nakamori,Array,Array,Array
Applied Mathematics and Computation   154(1) 239-255   2004   [Refereed]
Seiichi Nakamori,Array,José D. Jiménez-López,Array
Applied Mathematics and Computation   151(2) 315-325   2004   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Int. J. Systems Science   34(7) 439-452   2003   [Refereed]
Seiichi Nakamori,Raquel Caballero-Águila,Aurora Hermoso-Carazo,Josefa Linares-Pérez
Applied Mathematics and Computation   143(2-3) 319-338   2003   [Refereed]
Seiichi Nakamori
J. Inf. Sci. Eng.   5(2) 157-166   1989   [Refereed]

Misc

 
NAKAMORI Seiichi
CiiT International Journal of Programmable Device Circuits and Systems   8(7) 202-207   2016   [Refereed]
Seiichi Nakamori
Applied Mathematical Modelling   39 6451-6460   Jan 2015
© 2015 Elsevier Inc.. This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance information and then the RLS fixed-lag Wiener smoother in linear discrete-time wide-sense stationary stochastic systems. Here...
NAKAMORI Seiichi
Journal of Information   1(2) 23-35   2015   [Refereed]
This paper newly designs the RLS (recursive least-squares) fixed-lag smoother and filter, based on the innovation theory, in linear continuous-time stochastic systems. It is assumed that the signal is observed with additive white noise and the sig...
NAKAMORI Seiichi
鹿児島大学教育学部研究紀要. 自然科学篇   66 51-66   2014
This paper newly presents the recursive least-squares (RLS) fixed-lag smoother using the covariance information and then the RLS Wiener fixed-lag smoother in linear discrete-time wide-sense stationary stochastic systems. Here, the additional distu...
Seiichi Nakamori
RLS Wiener Smoother from Randomly Delayed Observations in Linear Discrete-Time Systems   1-92   Dec 2013
In this book, the new recursive least-squares (RLS) Wiener filter and fixed-point smoother are designed from randomly delayed observed values by one sampling time in linear discrete-time stochastic systems. The probability is given as a function o...

Books etc

 
Arduino-Based Integral Control of Temperature in a Closed Space by Applying PWM Technique to AC Voltage
NAKAMORI Seiichi (Part:Contributor, Chapter 8)
Horizons in Computer Science Research, Vol. 15, Nova Science Publishers   Aug 2017   ISBN:978-1-53612-757-7
This paper studies on the constant temperature control in a closed space, with
Arduino, by iterative adjustments of the temperature of the IC thermal sensor.
The heat from the incandescent lamp is transmitted to the IC thermal sensor
LM35DZ in the...
H-infinity Recursive Wiener Fixed-Interval Smoother based on Innovation Approach in Linear Discrete-Time Stochastic Systems
Seiichi Nakamori (Part:Contributor, Chapter 4)
Horizons in Computer Science Research, Volume 11, Nova Science Publishers   Jan 2015   ISBN:978-1-63482-512-2
Microcontroller-based Integral Control of Temperature by Phase Delay of AC Voltage
NAKAMORI Seiichi (Part:Joint Work, Chapter 4)
Horizons in Computer Science Research. Vol. 12, Nova Science Publishers   2015   ISBN:978-1-63483-926-6
RLS Wiener Smoother from Randomly Delayed Observations in Linear Discrete-Time Systems
NAKAMORI Seiichi
Nova Science Publishers   2013   ISBN:978-1-62618-773-3
Estimation Technique Using Covariance Information with Relation to Wavelet Transform in Linear Discrete Stochastic Systems
Seiichi Nakamori (Part:Contributor, Chapter 1)
Leading-Edge Applied Mathematical Modeling Research, Nova Science Publishers   2008   ISBN:1-60021-977-2

Works

 
Multiple Regression Analysis and Personal Computer Program
1988
Studies on the estimation of Stochastic Signal from uncertain observations by using covariance information
2001
Editorial board of the journal: “Decision Making in Manufacturing and Services”
2007