EM Scattering and Radiation by Rectangular Objects
Name

SERIZAWA Hirohide

E-mailserizawa@numazu-ct.ac.jp

Job Title

Professor

DegreeDoctor of Engineering

Academic Society and Association

IEEE (Institute of Electrical and Electronics Engineers)
IEICE (Institute of Electronics, Information andCommunication Engineers)

Research Keywords

Electromagnetic waves, Antennas, Computer Simulation

Technical Fields andpossible for collaboration

Topics・The exact formulation of the scattering, diffraction, and radiation fromrectangular objects (including acoustic problems)
The development of the software and providing high-precision numericaldata・

Details of the Research Theme
By using the derived exact solution of the canonical problem, it is possible to evaluate the accuracy of the conventional
electromagnetic wave analysis software correctly.
In recent years, high-precision electromagnetic field analysis methods have been required for predicting
electromagnetic phenomena and designing electromagnetic systems. In particular, it is known that a specificelectromagnetic field component becomes very large near the edge of a scatterer with a metal edge, and this singularity
depends on the edge shape and the ambient medium. In order to obtain accurate physical quantities, it is indispensable
to incorporate the correct edge property (edge condition) in the field expressions.
The purpose of the research is to develop a rigorous analytical technique for analyzing electromagnetic scattering andradiation problems of perfectly conducting rectangular objects with edges, and to obtain exact expressions for physicalquantities and highly accurate numerical data. By applying this solution, it is possible to evaluate the accuracy of
conventional electromagnetic wave analysis software correctly, and to improve the reliability of computer-based productdesign.
[Examples of Canonical Problems]

0

E

0

Radiation from a
Waveguide

Er

z
i



Ed

z 放射波

region I(1, 1)

x

2b
0



完全導体のフランジ


2a

y

Ed

観測点
(r,,)

x

y

0

(z=0)

z

half space

E



#2

2a1



y1

0
#1

2b
2b1

x

2b

0

region II(  2,  2)

Ew
conducting
waveguideScattering andDiffraction by an
Aperture or Plate

2aobservation
point (r,,)zinfinite conducting
flange (z=0)

x1
i

E

Er

2a

y
Ei
入射波

Er
反射波

導波管

Aperture Coupling
Problems

The Feed Forward Control for Predictable disturbances
Name
Job Title

NAGANAWA Kazutomo
Professor

E-mailnaganawa@numazuct.ac.jp

DegreeMaster Grade of Engineering

Academic Society and Association
・PID Control,
Research Keywords

・Disturbance,
・Feed Forward Control

Technical Fields andpossible for collaboration

TopicsPID Control with Feed Forward Control in Process Automation

Details of the Research Theme
Disturbances are inevitable for process control, then, Process Values (PV) are disturbed as a result.
To diminish such bad effects, the Feed forward control is seemed to be effective.
We are investigating the Feed forward control under the two degrees of freedom PID control.

In an industrial field, there are two types of disturbances for process control. The first one is predictable.
And the second one is unpredictable. We are focused on the first one, i.e., predictable disturbance.
Typical predictable disturbance comes from works entering into the process.
In general, Feedback control such as PID control acts after the appearance of PV disturbance by work entering.
On the other hand, Feed forward control works before PV disturbance. Consequently, PV response are improved.
However Feed forward control are useful, if the thermal characteristics of works are not defined, manipulated value(MV) cannot determined, then before the operation, identification is necessary for better response, such as AT(Auto Tuning) in a PID feedback control.

Temperature

Voltage

Disturbance

Step

Study of Control Systems
Name

HASE Kenji

E-mailJob Title

Professor

DegreeAcademic Society and Association
Research Keywords
Technical Fields andpossible for collaboration

hase@numazu-ct.ac.jp
DoctorofEngineering(Nagoya University)

The Society of Instrument and Control Engineers
The Operations Research Society of Japan
Control engineering, System engineering, System modelling

Topics

Details of the Research Theme・

Design of control systems

・

System modelling・

1. Control system design for the double pendulum
2. Control system design for Quadrotors
3. System dynamics modelling for environment problems

Smart Production Technology by Digital Engineering
Name

FUJIO Mikio

E-mailfujio@numazu-ct.ac.jp

Job Title

Professor

DegreeDoctor (Information Technology)

Academic Society and Association

The Japan Society for Precision Engineering

Research Keywords

CAD/CAM, Polishing,, Customized software

Technical Fields andpossible for collaboration

Topics・・・・Development of customization software for CAD software
CAM development and evaluation experiments for deburring and polishing
Prototype development and evaluation experiments using 3D CAD/PrinterDevelopment of NC machining simulation

Details of the Research Theme
We are developing customized programs which can automatically design jigs and NC program on the CAD system such as
SolidWorks, rhinoceros and so on. We are also developing a CAM for on-machine deburring and polishing using 5-axis
machine tools.
Dedicated jigs that are used for machining and measuring, are designed and produced at the production site. However,when performing a routine work using general CAD, it is required that skill and experience to design and machine thejigs. On the other hand, currently, commercial CAD has many commands called API to handle the CAD data and they
are opened to the users. Users can customize CAD freely by using these API commands. In this laboratory, we customize
commercial CAD suitable for users by using API commands to improve the work efficiency by interactive operation, shortcommand and special parameter. We have developed customized software to use jig manufacturing and tool pathgeneration applied to commercial CAD such as SolidWorks and Rhinoceros in the past. Moreover, we developed
converter software for multiple CAD of 2D CAD using the DXF file format used in the woodworking industry. Currently,
we are developing the on-machine multi-axis CAM system that can use for deburring and free surface polishing applying
to ceramic brush, rubber bond grinding tool, and PCB tools. In particular, we are developing a system that can handle
free-form surfaces using 5-axis control and multi-axis robot.
「Customized software on the Rhinoceros」「On-machine polishing CAM」

Three-axis control

Five-axis control

Developing screen(Python Script)
Before polishing

After polishingTheoretical study for relationship between cortical structure and functions

Name
Job Title

MIYASHITA Masanobu
Professor

Academic Society and Association
Research Keywords

E-mailmiyasita@numazu-ct.ac.jp

DegreePh. D

Society for Neuroscience, International Brain science
Organization, The Japan Neuroscience Society
Visual cortex, Auditory cortex, Self-organization, Cognitive neuroscience

Technical Fields andpossible for collaboration

Topics・・・Brain-machine interface
Simulation method based on statistical physics
Pattern recognition technology

Details of the Research ThemeThe nervous system of our brain is superior to computer systems in features such as feature extraction of sensory
information, decision making and memory retrieval. So far, we have reproduced the cortical structure of the visual / auditory
area based on our self-organization model of the neural networks. We also study the relationship between the “structure” and“function” of the nervous system through research on cortical dynamics.

A Model Study of Neural Dynamics in the Auditory Cortex
Neurons in the mammalian primary auditory cortex (AI) have selectivity for frequency and sound intensities. In addition,
the AI has a gradient representation of preferred frequencies, which is called a tonotopic map (Fig.1a tonopic map, Fig.1bsound intensity representation).

It is well known that when a continuous sound is partially replaced with periodic silent periods (gaps), we feel the sound tobe fragmented (Fig.2a1 and b1). On the other hand, when the periodic silences are replaced with noise, we hear thecontinuous sound as a background of the periodic noise (Fig.2c1). However, little is known about what neural mechanisms
cause this continuity illusion. To obtain a better understanding of this neural mechanisms theoretically, we carried out
dynamical simulations of a large-scale network of spiking neurons that receive the self-organized afferent inputs from themedial geniculate nucleus (MGN) to the AI. As a result, it suggested that cortical lateral connections are involved in neuronal
gain control, which may play an important role for the generation of auditory continuity illusion (Fig.2 a2-c2).

Research on polarization imaging
Name

OHKUBO Shinya

E-mails-ohkubo@numazuct.ac.jp

Job Title

Associate Professor

DegreeDoctor of Engineering

Academic Society and Association

JSAP, JSPE, OSJ, OSA, SPIE

Research Keywords

Polarization imaging, Birefringence measurement, Mueller matrix polarimetry

Technical Fields andpossible for collaboration

Topics・・・・

Polarization imaging technology
Birefringence measurement system technology
Mueller matrix polarimetry technology
Development of ellipsometry software

Details of the Research Theme
Sales point:

Development of a system for imaging polarization
characteristics of optical materials and biological samples.

Optical distribution that cannot be confirmed with the naked eye can be seen by using polarized light.

One of the characteristics of light is “polarized light”. This is a phenomenon in which the vibration in the direction
orthogonal to the traveling direction of light is biased. In nature, the rainbow is polarized, and chafer bugs with structural
colors protect themselves from external enemies by polarization. Furthermore, polarized light is used in the liquid crystal
displays that are close to us. Using this polarized light, various things can be measured. For example, plastic lenses
generate residual stresses during the formation process, which results in partially ordered molecular arrangements atarbitrary positions, which in turn affects imaging. Therefore, using polarized light, it is possible to obtain irregularities in
the molecular arrangement of such materials and elements by measuring them as physical quantities called“birefringence”. In this laboratory, we are researching and developing devices that can quantitatively acquire quantities
that cannot be confirmed by our naked eyes by using polarized light, and devices for imaging.
The main research themes are as follows.
・ Development of confocal laser scanning birefringence microscope
・ Development of Mueller matrix polarization microscope
・ Development of birefringence imaging system

Tomographic imaging of onion with confocal

Micrometer imaging with Mueller

laser scanning birefringence microscope

matrix polarization microscopeFormal Verification of Software SystemName

SUZUKI Yasuhito

E-mailx-suzuki@numazu-ct.ac.jp

Job Title

Associate Professor

DegreePhD (Information Science)

Academic Society and Association
Research Keywords
Technical Fields andpossible for collaboration

Information Processing Society of Japan
Japan Society for Software Science and Technology
Software Engineering, Formal Method, Real Time Logic

Topics・・

Tutorial of software tools for formal verification of software
Development of the algorithm and tool for software verification

Details of the Research Theme
Introduction education of formal method and implementation of verification algorithm to source code.
The vogue of deep learning caused forgetting some paper in recent years. It reports that Amazon uses theformal method when they develop the services. The company that is called GAFA, is developing its high quality
services rapidly. The other countries are wondering why GAFA are able to do it, but the formal method is one
answer.
I learn and study the formal method from a principle to implementation, and also have experience that teach tutorial
education to students. These experiences provide formal verification curriculum to you company and develop
verification algorithm for your source code.

Formal Verification of Software SystemName

SUZUKI Yasuhito

E-mailx-suzuki@numazu-ct.ac.jp

Job Title

Associate Professor

DegreePhD (Information Science)

Academic Society and Association
Research Keywords
Technical Fields andpossible for collaboration

Information Processing Society of Japan
Japan Society for Software Science and Technology
Software Engineering, Formal Method, Real Time Logic

Topics・・

Tutorial of software tools for formal verification of software
Development of the algorithm and tool for software verification

Details of the Research Theme
Introduction education of formal method and implementation of verification algorithm to source code.
The vogue of deep learning caused forgetting some paper in recent years. It reports that Amazon uses theformal method when they develop the services. The company that is called GAFA, is developing its high quality
services rapidly. The other countries are wondering why GAFA are able to do it, but the formal method is one
answer.
I learn and study the formal method from a principle to implementation, and also have experience that teach tutorial
education to students. These experiences provide formal verification curriculum to you company and develop
verification algorithm for your source code.

Lagrangian numerical method for incompressible flows based on the vorticity field

Name

MATSUMOTO Yuko

E-mailyuo@numazu-ct.ac.jp

Job Title

Associate Professot

DegreePh.D

Academic Society and Association
Research Keywords
Technical Fields andpossible for collaboration

The Japan Society of Mechanical Engineers
The Japan Society of Fluid Mechanics
CFD, incompressible flow, vortex dynamics

Topics・Computational fluid dynamics; CFD

Details of the Research Theme
I develop a Lagrangian numerical method for incompressible fluid flow using multipolar vortices as computational
elements. This method has an advantage that preserves the divergence-free vorticity field without increasing
the computational complexity even in three-dimensional calculations.
It is well known that the vorticity is a key factor in understanding flow fields. For example, turbulence isviewed as a tangle of vortex filaments, and much of turbulence physics is well explained using the concepts ofvortex dynamics. Therefore, it is important to investigate the dynamics of various vortical flows.
Vortex methods are Lagrangian numerical methods based on the discretization of the vorticity field. However,three-dimensional vortex methods unfortunately lose the simplicity of computational algorithm in twodimensional calculations because of the existence of a stretching term in the vorticity equations.
The objective of our study is to develop a novel Lagrangian numerical method based on the vorticity field that
preserves a divergence-free vorticity field without increasing the computational complexity even in threedimensional calculations.

Wireless Communication, Network and Machine Learning for IoT
Name

YAMAZAKI Satoshi

E-mails-yamazaki@
numazu-ct.ac.jp

Job Title

Associate professor

DegreeDoctor of Engineering

Academic Society and Association

IEEE, ACM, IEICE, IEEJ, IPSJ

Research Keywords

Wireless Communication, Wireless Network, Machine Learning

Technical Fields andpossible for collaboration

Topics・・

Performance evaluation and proposal based on theoretical analysis andcomputer simulation.
Implementation of IoT system using microcomputer and Linux board.

Details of the Research Theme
Our research topic is wireless communication, network technology and statistical learning.
Mainly, we construct theoretical foundation and develop actual system for smart IoT.
Topic1: Wireless Communications (Celluer, WiFi)
Topic2: IoT Network (LPWA, Multi-hop)
Topic3: Data Science (Machine Learning)

Physical-space

Cyber-space(1) Information
Sensing(2) Transmission

State-change

Wireless
Communication& Network(6) Next Action(5) Feedback(3) Storage(Big-data)
Proposed model
Statistical learning(4) Analysis

Our research idea for IoT

Wireless Communication

Wireless Network■E-mails-yamazaki@numazu
Please append "-ct.ac.jp" to the end of the address above.
■ Laboratory website URL
http://user.numazu-ct.ac.jp/~s-yamazaki/■ Researcher information URL（researchmap）
https://researchmap.jp/7000002644/?lang=japanese

System for an Agricultural IoT

Development of Pediatric Artificial Heart System
Name

YOKOYAMA Naoyuki

E-mailyokoyama@numazu-ct.ac.jp

Job Title

Associate Professor

DegreePh. D

Academic Society and Association

Biophysical Society

Research Keywords

Medical Equipment, Blood, Fluid Dynamics, Optical Eng.

Technical Fields andpossible for collaboration

Topics・・・・Development Process and Regulatory Application of Medical Equipment
Blood Compatible Materials and/or Surface Coatingin Vivo and/or in Vitro Compatibility Test Protocols and Procedures
Coagulation and Optical Properties of Pre-Coagulated Blood

Details of the Research Theme
Save Pediatric Heart Failure Patients using Engineering Technology and Medical Research Ability

Our laboratory has studied pediatric heart failure and developed miniature blood pumps. Through this research, we areinterested in blood coagulation and hemolysis of red cells. Especially for the use of small children, blood pumps easily
destroy blood cells and coagulate plasma. These characteristics of pediatric blood make harder to develop pediatricartificial hearts.
To realize hemo-compatible blood pump, we have researched feature of pumps, bane shape of impeller, materials of
pump, and surface coating. In addition, we've developed blood coagulation imaging system using birefringent of fibrine.

[References]
1. "High Resolution Ketone Measuring Method using Enzyme Reactions and Electrical Chemical Analysis”, BiophysicalJournal, Vol. 112, Issue 3, p456a–457a, February 03, 2017
2. "Fibrin Network Formation and Thrombolysis using a Birefringence Measuring" , Biophysical Journal, Vol. 112, Issue
3, p582a–583a, February 03, 2017
3. "Development of Aged Erythrocytes Separation Device using Lorentz Force”, Biophysical Journal, Vol. 112, Issue 3,
p280a, February 03, 2017