Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICTSSL, CAS |
2023-01-26 11:00 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
An application of drone formation flights Shiina Daisuke, Eito Ouchi, Juna Kawamura, Kaito Isogai, Kazuya Ozawa, Takuya Negishi, Hideaki Okazaki (SIT) CAS2022-65 ICTSSL2022-29 |
In this report, we focus on drone transportation as a familiar application. In particular, the purpose of this report i... [more] |
CAS2022-65 ICTSSL2022-29 pp.18-22 |
CAS, CS |
2022-03-03 16:05 |
Online |
Online |
Report on an educational material under construction to learn how to communicate with Network on the Internet using LabVIEW FPGA Hideaki Okazaki, Kazuya Ozawa, Kaito Isogai (SIT) CAS2021-84 CS2021-86 |
In this report,as one of the educational materials for engineering education of IoT, we report on the educational materi... [more] |
CAS2021-84 CS2021-86 pp.56-58 |
ICTSSL, CAS |
2022-01-20 14:40 |
Online |
Online |
Solving multirotor state equations using a Julia library for neural differential equations MoYong Hong, Kaito Isogai, Kazuya Ozawa, Takuya Negishi, Zhihui He, Hideaki Okazaki (Shonan Inst. Tech) CAS2021-59 ICTSSL2021-36 |
[more] |
CAS2021-59 ICTSSL2021-36 pp.32-36 |
CAS, CS |
2021-03-01 13:25 |
Online |
Online |
On an Implementation of Neural Networks using LabVIEW FPGA Hideaki Okazaki, Kazuya Ozawa, Kaito Isogai (SIT) CAS2020-73 CS2020-80 |
[more] |
CAS2020-73 CS2020-80 pp.7-10 |
CAS, CS |
2021-03-02 10:00 |
Online |
Online |
How to Establish a Multirotor State Equation for Effective Neural Computing Kaito Isogai, Kazuya Ozawa, MoYong Hong, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-77 CS2020-84 |
In this report, we discuss a numerical approximation of flight behavior of a multirotor using Long Short-Term Memory (LS... [more] |
CAS2020-77 CS2020-84 pp.29-34 |
CAS, ICTSSL |
2021-01-28 09:15 |
Online |
Online |
On differential equations of nonlinear NPN bipolar transistor for LSTM neural networks Cheng Wang, Hong Mo Yong, Zhi Hui He, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst.Tech) CAS2020-37 ICTSSL2020-22 |
In this report,we discuss how to build differential equations of
a nonlinear NPN bipolar transistor for Long
Short Te... [more] |
CAS2020-37 ICTSSL2020-22 pp.1-3 |
CAS, ICTSSL |
2021-01-28 09:35 |
Online |
Online |
On a music generation using LSTM neural network with Julia Takaaki Kobayashi, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst Tech) CAS2020-38 ICTSSL2020-23 |
We discuss how to build a Long Short-Term Memory Neural Network (LSTM) for music generations, using Flux. [more] |
CAS2020-38 ICTSSL2020-23 pp.4-6 |
CAS, ICTSSL |
2021-01-28 09:55 |
Online |
Online |
On differential equations and numerical approximations of a nonlinear field effect transistor for LSTM neural networks Zhihui He, Cheng Wang, Moyong Hong, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-39 ICTSSL2020-24 |
In this report,we discuss how to build differential equations and numerical approximations of a nonlinear field effect t... [more] |
CAS2020-39 ICTSSL2020-24 pp.7-10 |
CAS, ICTSSL |
2021-01-28 10:15 |
Online |
Online |
On a build of road sign detection method using Flux Chang Jiahang, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-40 ICTSSL2020-25 |
In this report ,we discuss how to build a neural network(NN) for recognizing traffic signs using Flux .First ,we briefly... [more] |
CAS2020-40 ICTSSL2020-25 pp.11-13 |
CAS, ICTSSL |
2021-01-28 17:55 |
Online |
Online |
On a state variable modeling and a flight maneuver simulation of an octorotor with a truss structure Takuya Negishi (Allied Telesis), Tatsuro Inage, Hideaki Okazaki, Kaito Isogai (Shonan Inst. Tech) CAS2020-55 ICTSSL2020-40 |
In this report, we discuss a dynamic modeling based on the Euler angle state variable approach and flight maneuvers simu... [more] |
CAS2020-55 ICTSSL2020-40 pp.91-96 |
CAS, ICTSSL |
2021-01-29 09:10 |
Online |
Online |
How to create a dataset for stock price forecasting using NN Fuya Kaneda, Kousuke Kato, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-56 ICTSSL2020-41 |
In this report,we discuss how to build a Neural Network (NN) for Stock price forecasting.First,we briefly explain about ... [more] |
CAS2020-56 ICTSSL2020-41 pp.97-100 |
CAS, ICTSSL |
2021-01-29 09:30 |
Online |
Online |
A study of stock price prediction method using LSTM Neural Network Kousuke Kato, Fuya Kaneda, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-57 ICTSSL2020-42 |
In this report,we discuss how to build a Long Short-Term Memory Neural Network (LSTM) for Stock price forecasting, usin... [more] |
CAS2020-57 ICTSSL2020-42 pp.101-103 |
CAS, ICTSSL |
2021-01-29 09:50 |
Online |
Online |
On numerical approximated solutions of state equations for a multirotor using a LSTM NN MoYong Hong, ZhiHui He, Cheng Wang, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-58 ICTSSL2020-43 |
In this presentation, LSTM is applied to estimate dynamic behavior of a multirotor. The numerical approximated solutions... [more] |
CAS2020-58 ICTSSL2020-43 pp.104-106 |
MSS, CAS, IPSJ-AL [detail] |
2020-11-26 13:50 |
Online |
Online |
On an approximating polynomials by a Pseudo Residual Neural Network with a Power Activation Function Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-31 MSS2020-23 |
Since a series of successes of Deep neural networks (DNNs) with rectified linear units (ReLUs), many approximations by N... [more] |
CAS2020-31 MSS2020-23 pp.68-72 |
MSS, CAS, IPSJ-AL [detail] |
2020-11-26 14:15 |
Online |
Online |
On a Modeling of Material Transportations by Multirotors Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-32 MSS2020-24 |
We discuss a modeling of material transportations by multirotors.
First we briefly explain about the kinematics of the ... [more] |
CAS2020-32 MSS2020-24 pp.73-78 |
MSS, CAS, SIP, VLD |
2020-06-18 10:25 |
Online |
Online |
On numerical approximated solutions of an ordinary differential\ equation using a LSTM neural network Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-2 VLD2020-2 SIP2020-18 MSS2020-2 |
Recurrent neural networks (RNNs) were demonstrated to provide good accuracy when modeling nonlinear circuits. However, s... [more] |
CAS2020-2 VLD2020-2 SIP2020-18 MSS2020-2 pp.7-9 |
CAS, MSS, IPSJ-AL [detail] |
2019-11-28 13:25 |
Fukuoka |
|
A Multiplication by a Neural Network (NN) with Power Activations and a Polynomial Enclosure for a NN with Parametric ReLU Functions Kazuya Ozawa, Kaito Isogai, Toshihiro Tachibana, Hideo Nakano, Hideaki Okazaki (SIT) CAS2019-49 MSS2019-28 |
Since a series of successes of Deep neural networks (DNNs) with rectified linear units (ReLUs), many approximations by N... [more] |
CAS2019-49 MSS2019-28 pp.27-32 |
CAS, CS |
2019-03-08 10:15 |
Kanagawa |
Shonan Institute of Technology |
The engineering meaning of equilibrium points and operating points of multirotors Kaito Isogai, Hiroyuki Yamada, Hideo Nakano, Hideaki Okazaki (Shonan Inst. Tech.) CAS2018-138 CS2018-106 |
We discuss the engineering meaning of equilibrium points and operating points of multirotors. First we introduce the def... [more] |
CAS2018-138 CS2018-106 pp.1-4 |
CAS, CS |
2019-03-08 10:40 |
Kanagawa |
Shonan Institute of Technology |
On a battery operated circuit with a five segment piecewise linear resistor Hideaki Okazaki, Kazuya Ozawa, Kaito Isogai (SIT) CAS2018-139 CS2018-107 |
[more] |
CAS2018-139 CS2018-107 pp.5-7 |
ICD, CPSY, CAS |
2018-12-23 09:30 |
Okinawa |
|
[Poster Presentation]
On a theorem for hexarotor flight controls Kaito Isogai, Hideo Nakano, Hideaki Okazaki (Shonan Inst. Tech.) CAS2018-87 ICD2018-71 CPSY2018-53 |
In this presentation, we discuss a theorem for flight controls of a hexarotor.
First we summarize the definitions and t... [more] |
CAS2018-87 ICD2018-71 CPSY2018-53 p.49 |