Steel Science Portal

Transactions of the Institute of Systems, Control and Information Engineers

New Arrival Alert : OFF

You can use this feature after you logged into the site.
Please click the button below.

ONLINE ISSN: 2185-811X

PRINT ISSN: 1342-5668

Publisher :

THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

Current Issue
Vol. 33 (2020)
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 32 (2019)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 31 (2018)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 30 (2017)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 29 (2016)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 28 (2015)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 27 (2014)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 26 (2013)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 25 (2012)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 24 (2011)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 23 (2010)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 22 (2009)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 21 (2008)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 20 (2007)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 19 (2006)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 18 (2005)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 17 (2004)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 16 (2003)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 15 (2002)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 14 (2001)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 13 (2000)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 12 (1999)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 11 (1998)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 10 (1997)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 9 (1996)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 8 (1995)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 7 (1994)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 6 (1993)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 5 (1992)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 4 (1991)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 3 (1990)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 2 (1989)
- No. 12
- No. 11
- No. 10
- No. 9
- No. 8
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1
Vol. 1 (1988)
- No. 7
- No. 6
- No. 5
- No. 4
- No. 3
- No. 2
- No. 1

Home
Transactions of the Institute of Systems, Control and Information Engineers
Vol. 2 (1989), No. 1

Transactions of the Institute of Systems, Control and Information Engineers Vol. 2 (1989), No. 1

Design of a Knowledge-Based Model of Process Dynamics

Takuya ISHIOKA, Morikazu TAKEGAKI, Tadashi OHI

pp. 1-9

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Design of a Knowledge-Based Model of Process Dynamics

TwitterTweet
You can tweet with article title and URL.

FacebookShare
You can share URL of article published on line.

MendeleySave
You can save articles in your library.

BibTeX
You can download bibliographic data as BibTeX format.

RIS
You can download bibliographic data as RIS format.
Bookmark

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign Up
DOI:10.5687/iscie.2.1

Abstract

To synthesize dynamics with nonlinearities or distributed parameter structures in a simple manner for process controlling and diagnosis, we propose a knowledge-based modelling method. In this method, the structures of the process and the internal relations between the states are presented in a petri-net like data structure and the relations between the states are described with rules of mathematical procedure and linguistic logics (production rules or fuzzy inference rules).
To illustrate this method, a model of a once-through type evaporator is presented. Complex characteristics can be described mainly with simple conservation laws.
Real-Time Video Signal Transmission System from Wayside to Moving Trains Using Infrared Beam as Carrier

Hiroyasu OSHIMA, Yuji JITSUMATSU, Ryoji TASHIRO, Hiroyuki AKIYAMA, Tadashi ARAI

pp. 10-16

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Real-Time Video Signal Transmission System from Wayside to Moving Trains Using Infrared Beam as Carrier

TwitterTweet
You can tweet with article title and URL.

FacebookShare
You can share URL of article published on line.

MendeleySave
You can save articles in your library.

BibTeX
You can download bibliographic data as BibTeX format.

RIS
You can download bibliographic data as RIS format.
Bookmark

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign Up
DOI:10.5687/iscie.2.10

Abstract

A video signal transmission system of platform monitoring pictures up to running trains using infrared beam has been made practicable. Two light transmitters were placed wayside so that light receiver may catch the infrared beams sent out by the transmitters in sequence over required service area. The system is well proof against rain, snow and fog, and clear as well as stable pictures without ghost images are obtained.
A Learning Optimal Trajectory Planning of Robotic Manipulators

Kazumasa OHSAKA, Toshiro ONO

pp. 17-22

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
A Learning Optimal Trajectory Planning of Robotic Manipulators

TwitterTweet
You can tweet with article title and URL.

FacebookShare
You can share URL of article published on line.

MendeleySave
You can save articles in your library.

BibTeX
You can download bibliographic data as BibTeX format.

RIS
You can download bibliographic data as RIS format.
Bookmark

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign Up
DOI:10.5687/iscie.2.17

Abstract

A number of trajectory planning algorithms exist for calculating the joint positions, velocities, and torques which will drive a robotic manipulator along a given geometric path. This paper presents a learning method for optimal trajectory planning of robotic manipulators of which all joints are rotational. When the start and end points of end effector are given in the Cartesian coordinates, the Fourier coefficients representing each joint velocity and interval of motion which specify the optimal trajectory in joint coordinates are searched by using the method of steepest descent. In the searching process, a learning algorithm based on the idea of linear approximation and utilization of the information on the known optimal trajectories is introduced. As numerical examples, the trajectories of two-link manipulator are simulated and the learning effect is confirmed.
An Autoregressive Model for Estimating the School Size of Fish Behavior

Nobuo SANNOMIYA, Hiroshi NAKAMINE, Akiko TANAKA, Ko MATUDA

pp. 23-31

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
An Autoregressive Model for Estimating the School Size of Fish Behavior

TwitterTweet
You can tweet with article title and URL.

FacebookShare
You can share URL of article published on line.

MendeleySave
You can save articles in your library.

BibTeX
You can download bibliographic data as BibTeX format.

RIS
You can download bibliographic data as RIS format.
Bookmark

You can use this feature after you logged into the site.
Please click the button below.

Log in / Sign Up
DOI:10.5687/iscie.2.23

Abstract

This paper deals with mathematical modeling of fish behavior in a water tank. The model presented in our earlier papers describes the behavior of each individual in a school. Then, it is applicable to the case of small school.
In this paper, an aggregation model is presented on the basis of the following assumption : The schooling behavior of fish can be decomposed into two components. One is the motion of a representative of the school. The other is the variation of the school size. Since the model for the representative was presented previously, the present study is directed toward the model for the school size. An autoregressive model is presented for this purpose. The model order is determined by minimizing the AIC. The unknown parameters are estimated by applying the least squares algorithm. The validity of the autoregressive model is examined by a residual whiteness test and a simulation study.

Article Access Ranking

03 Aug. (Last 30 Days)

Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
An Evaluation Method for Hydrogen Embrittlement of High Strength Steel Sheets Using U-bend Specimens ISIJ International Advance Publication
Production and Technology of Iron and Steel in Japan during 2019 ISIJ International Vol.60(2020), No.6
Preface to the Special Issue on “Recent Approaches to Control of Cohesive Zone Phenomena and Improvement of Permeability in Blast Furnace” ISIJ International Vol.60(2020), No.7
Influence of Atmosphere and Basicity on Softening and Melting Behaviors of the CaO–FeO–SiO₂–Al₂O₃–MgO System ISIJ International Vol.60(2020), No.7
Numerical Simulation for the Influence of EMS Position on Fluid Flow and Inclusion Removal in a Slab Continuous Casting Mold ISIJ International Vol.60(2020), No.6
Prediction of Softening Behavior of Simulant Sinter Ore by ADEM-SPH Model ISIJ International Vol.60(2020), No.7
Numerical Simulation of Coexisting Solid-liquid Slag Trickle Flow in a Coke Bed by the SPH Method with a Non-Newtonian Fluid Model ISIJ International Vol.60(2020), No.7
Method for Evaluating Hydrogen Embrittlement of High-Strength Steel Sheets Considering Press Formation and Hydrogen Existence State in Steel ISIJ International Advance Publication
Effect of Pre-reduction Degree on Softening Behavior of Simulant Sinter Iron Ore ISIJ International Vol.60(2020), No.7

Transactions of the Institute of Systems, Control and Information Engineers Vol. 2 (1989), No. 1

Design of a Knowledge-Based Model of Process Dynamics

Share it with SNS

Real-Time Video Signal Transmission System from Wayside to Moving Trains Using Infrared Beam as Carrier

Share it with SNS

A Learning Optimal Trajectory Planning of Robotic Manipulators

Share it with SNS

An Autoregressive Model for Estimating the School Size of Fish Behavior

Share it with SNS

Article Access Ranking

Search Phrase Ranking