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. 6
- No. 5
- 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. 29 (2016), No. 5

Transactions of the Institute of Systems, Control and Information Engineers Vol. 29 (2016), No. 5

Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm

Kento Morita, Syoji Kobashi, Yuki Wakata, Kumiko Ando, Masakazu Morimoto, Reiichi Ishikura, Satoru Aikawa

pp. 195-201

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm

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.29.195

Abstract

Magnetic resonance (MR) images are widely used to diagnose cerebral diseases. MR image registration based brain shape evaluation is effective to diagnose brain diseases because the diseases may deform the brain shape, and the deformed region differs among types of diseases. This paper focuses on neonatal brain MR images, and introduces a non-rigid image registration method using sulcal-distribution index (SDI), which is calculated from MR signal on the cerebral surface. The method is based on an iterative closest point (ICP) algorithm. The proposed method will be effective for the neonatal brain because the method evaluates the correspondence of cerebral sulci distribution. Results in seven neonates (modified age was between 3 weeks and 2 years) showed that the method registered the cerebral shapes successfully.
Recommended Articles: Effects of Subtractive Dithered Quantizers in Feedback Control Systems [ View more ]
x
Readers Who Read This Article Also Read
1. Effects of Subtractive Dithered Quantizers in Feedback Control Systems Transactions of the Institute of Systems, Control and Information Engineers Vol.29(2016), No.5
Design and Experiment Evaluation of a Performance-Driven Control System Using a FRIT

Takuya Kinoshita, Akinori Inoue, Yoshihiro Ohnishi, Toru Yamamoto

pp. 202-209

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Design and Experiment Evaluation of a Performance-Driven Control System Using a FRIT

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.29.202

Abstract

In industrial processes, it is necessary to maintain the user-specified control performance in order to achieve desired productivity. This paper describes a new design scheme of performance-driven controllers in which `controller design' is fuzed with `control performance assessment'. According to the proposed scheme, control parameters are tuned by using a FRIT (Fictitious Reference Iterative Tuning). Therefore, the control performance is improved by only once using closed-loop data. The proposed scheme is a kind of data-oriented controllers whose control parameters are directly calculated without estimating system parameters. The effectiveness of the proposed method is verified by using a simulation example and experiment results.
Evaluation Methods of Chaotic State in Spiking Neural System with State Dependent Jump

Sou Nobukawa, Haruhiko Nishimura, Teruya Yamanishi, Jian-Qin Liu

pp. 210-215

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Evaluation Methods of Chaotic State in Spiking Neural System with State Dependent Jump

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.29.210

Abstract

Izhikevich neuron model, which combines continuous spike-generation mechanisms and discontinuous resetting process after spiking, can reproduce almost all spiking activities including chaotic spiking in actual neural systems. When the chaotic state is evaluated in this model, it is known that conventional Lyapunov exponent where the continuous trajectory is presupposed cannot be applied due to the state dependent jump in the resetting process. To evaluate Lyapunov exponent in the system with the resetting process, the accurate numerical calculation for the trajectory by Newton method and the consideration for saltation matrix are needed. By virtue of this method, several routes to chaos have been found in Izhikevich neuron model. While on the other hand, in this study,we have proposed the method combining Euler method and Lyapunov exponent on Poincaré section and evaluated the chaotic state in Izhikevich neuron model. As the result, it has been confirmed that this method can also judge the chaotic state by tuning the initial perturbation against the trajectory.
Range and Velocity Estimation to a Target with Uniform Motion by Utilizing Acoustical Distance Measurement Met-hod Based on Interference between Transmitted and Reflected Waves and by Introducing Frame Processing

Shimpei Hanabusa, Noboru Nakasako, Masato Nakayama, Toshihiro Shinohara, Tetsuji Uebo

pp. 216-224

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Range and Velocity Estimation to a Target with Uniform Motion by Utilizing Acoustical Distance Measurement Met-hod Based on Interference between Transmitted and Reflected Waves and by Introducing Frame Processing

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.29.216

Abstract

In many engineering fields, it is very important to measure the distance and velocity of a moving target. In order to measure the distance to a stationary target, we previously proposed an Acoustic Distance Measurement (ADM) method that is based on the interference between the transmitted and reflected waves. However, due to the Doppler effect, that ADM method results in measurement errors when the target is moving. In this paper, we propose a distance and velocity estimation method for targets moving at a constant velocity; it can be used at short range, and it is based on the interference of the reflection of a single linear chirp. In particular, we introduce frame processing to the measurement of the distance to a moving target. That is, the velocity of the moving target is first estimated by considering the estimated distances in each short interval; the initial position and the distance to the moving target are then evaluated. We confirm the validity and effectiveness of the proposed method through computer simulations and experiments.
Effects of Subtractive Dithered Quantizers in Feedback Control Systems

Ryosuke Morita

pp. 225-230

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Effects of Subtractive Dithered Quantizers in Feedback Control Systems

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.29.225

Abstract

Subtractive dither method is that artificial noise called “dither signal” added to the original signal before quantization and subtract the same noise from the quantized signal. In this paper, the method is applied into quantized feedback control systems and the performance of quantizers with subtractive dither is analyzed. One of the analyzed quantizer is that using usual subtractive dither. In addition, another type of the quantizer which is using “asymmetric subtractive dither” is also analyzed.
Recommended Articles: Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm [ View more ]
x
Readers Who Read This Article Also Read
1. Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm Transactions of the Institute of Systems, Control and Information Engineers Vol.29(2016), No.5
Dual-rate Control System Based on Open-loop Input/Output Data for a Single-input Single-output System

Takahiro Honda, Takao Sato, Nozomu Araki, Yasuo Konishi

pp. 231-233

Readers Likes, Comments, Shares
PDF (J-STAGE) Share
Share it with SNS
Dual-rate Control System Based on Open-loop Input/Output Data for a Single-input Single-output System

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.29.231
Recommended Articles: A Study on Necessary Condition for Renovation of Sale Systems in Publishing Supply Chain [ View more ]
x
Readers Who Read This Article Also Read
1. A Study on Necessary Condition for Renovation of Sale Systems in Publishing Supply Chain Transactions of the Institute of Systems, Control and Information Engineers Vol.29(2016), No.4
2. Production and Technology of Iron and Steel in Japan during 2015 ISIJ International Vol.56(2016), No.6

Article Access Ranking

20 Sep. (Last 30 Days)

Perspective toward Long-term Global Goal for Carbon Dioxide Mitigation in Steel Industry Tetsu-to-Hagané Vol.105(2019), No.6
Recent Progress of Instrumentation Technology for Process Automation in Steel Industry Tetsu-to-Hagané Vol.106(2020), No.9
Melting Erosion Failure Mechanism of Tuyere in Blast Furnace ISIJ International Advance Publication
Accuracy Improvement of the XRD-Rietveld Method for the Quantification of Crystalline Phases in Iron Sintered Ores through the Correction of Micro-absorption Effects ISIJ International Advance Publication
Evaluation and Prediction of Blast Furnace Status Based on Big Data Platform of Ironmaking and Data Mining ISIJ International Advance Publication
An Empirical Comparative Study of Renewable Biochar and Fossil Carbon as Carburizer in Steelmaking ISIJ International Advance Publication
Review on the High-Temperature Thermophysical Properties of Continuous Casting Mold Fluxes for Highly Alloyed Steels Tetsu-to-Hagané Advance Publication
Potential Influences of Impurities on Properties of Recycled Carbon Steel ISIJ International Advance Publication
日本鉄鋼協会第94回講演大会講演概要 Tetsu-to-Hagané Vol.63(1977), No.11
Numerical Simulation on Phenomena of Fine Particles Passing through an Orifice under Gas Flow Condition ISIJ International Vol.60(2020), No.7

Transactions of the Institute of Systems, Control and Information Engineers Vol. 29 (2016), No. 5

Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm

Share it with SNS

Design and Experiment Evaluation of a Performance-Driven Control System Using a FRIT

Share it with SNS

Evaluation Methods of Chaotic State in Spiking Neural System with State Dependent Jump

Share it with SNS

Range and Velocity Estimation to a Target with Uniform Motion by Utilizing Acoustical Distance Measurement Met-hod Based on Interference between Transmitted and Reflected Waves and by Introducing Frame Processing

Share it with SNS

Effects of Subtractive Dithered Quantizers in Feedback Control Systems

Share it with SNS

Dual-rate Control System Based on Open-loop Input/Output Data for a Single-input Single-output System

Share it with SNS

Article Access Ranking

Search Phrase Ranking