HIROSE Hideo

J-GLOBAL         Last updated: Sep 30, 2019 at 17:31
 
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Name
HIROSE Hideo
URL
http://hirose.ces.kyutech.ac.jp
Affiliation
Kyushu Institute of Technology
Section
Faculty of Computer Science and Systems Engineering, Department of Systems Design and Informatics
Job title
Professor
Degree
Dr. of Engineering(Nagoya University)

Research Areas

 
 

Academic & Professional Experience

 
1998
 - 
2008
 Professor,School of Computer Science and Systems Engineering,Kyushu Institute of Technology
 
2008
   
 
 Professor,Department of Systems Design and Informatics,Faculty of Computer Science and Systems Engineering,Kyushu Institute of Technology
 
1995
 - 
1998
 Professor,Hiroshima City University,Department of Information Science
 
1988
 - 
1995
 Vice Research Director,Takaoka Electric Company
 
1989
 - 
1990
 Visiting scholar,Stanford University, Department of Statistics
 
1986
 - 
1988
 Executive Research Engineer,Takaoka Electric Company
 
1977
 - 
1986
 Researcher,Takaoka Electric Company
 

Awards & Honors

 
2006
IEEE Reliability Society Japan Chapter Awards
 

Published Papers

 
HIROSE Hideo
International Journal of Learning Technologies and Learning Environments   2(1) 35-52   May 2019   [Refereed]
HIROSE Hideo
Information Engineering Express   5(1) 59-72   May 2019   [Refereed]
HIROSE Hideo
Mathematics Magazine   92(2) 123-125   Mar 2019   [Refereed]
A problem that seems to be tough in a field sometimes becomes easy to solve by looking at it from a different field. In this note, a problem in combinatorics is framed as a problem in probability, where it becomes easier to solve.
HIROSE Hideo
International Journal of Learning Technologies and Learning Environments   2(1) 19-34   May 2019   [Refereed]
H. Hirose, M. Takatou
Bulletin of Informatics and Cybernetics Research Association of Statistical Sciences   50 15-17   Dec 2018   [Refereed]
HIROSE Hideo
7th International Conference on Learning Technologies and Learning Environments (LTLE2018)   482-486   Jul 2018   [Refereed]
HIROSE Hideo
7th International Conference on Learning Technologies and Learning Environments (LTLE2018)   194-198   Jul 2018   [Refereed]
HIROSE Hideo
7th International Conference on Learning Technologies and Learning Environments (LTLE2018)   139-145   Jul 2018   [Refereed]
HIROSE Hideo
Information Engineering Express   4(1) 11-21   Mar 2018   [Refereed]
HIROSE Hideo, et. al.
6th International Conference on Learning Technologies and Learning Environments (LTLE2017)      Jul 2017   [Refereed]
T. Sakumura, H. Hirose
International Journal of Smart Computing and Artificial Intelligence   1(1) 59-72   Apr 2017   [Refereed]
HIROSE Hideo
Bulletin of Informatics and Cybernetics Research Association of Statistical Sciences   48(1) 1-17   Dec 2016   [Refereed]
Prediction of Spread of Damage Due to Disasters: Focused on Spread of Infectious Disease
HIROSE Hideo
IEICE Fundamentals Review   10(4) 1-9   Apr 2017   [Refereed][Invited]
Hideo Hirose
5th International Conference on Learning Technologies and Learning Environments (LTLE2016)   427-432   2016   [Refereed]
H. Hirose, M. Takatou, Y. Yamauchi, T. Taniguchi, T. Honda, F. Kubo, M. Imaoka, T. Koyama
5th International Conference on Learning Technologies and Learning Environments (LTLE2016)   433-438   2016   [Refereed]
Hideo Hirose
5th International Conference on Learning Technologies and Learning Environments (LTLE2016)   439-444   2016   [Refereed]
Y. Tokusada, H. Hirose
5th International Conference on Learning Technologies and Learning Environments (LTLE2016)   445-449   2016   [Refereed]
T. Sakumura, H. Hirose
5th International Conference on Learning Technologies and Learning Environments (LTLE2016)   450-455   2016   [Refereed]
Hideo Hirose
International Conference on Electrical Engineering 2016 (ICEE2016)   1-6   2016   [Refereed]
Hideo HIROSE, Masakazu Tokunaga, Takenori Sakumura, Junaida Sulaiman, Herdianti Darwis
IEICE   E98-A(10) 2010-2017   Oct 2015   [Refereed]
H. Hirose, T. Sakumura
IEEE Trans., Dielectrics and Electrical Insulation   22(1) 482-487   Feb 2015   [Refereed]
H. Hirose, T. Sakumura, and N. Tabuchi
IEEE Trans., Dielectrics and Electrical Insulation   22(1) 488-494   Feb 2015   [Refereed]
Naoki Tabuchi, Shinya Nakano, and Hideo Hirose
ACIS International Conference on Computational Science and Intelligence 2015 (CSI2015)   1-6   2015   [Refereed]
Hideo Hirose
The Fifth Asian Conference on Psychology & the Behavioral Sciences (ACP2015)      2015   [Refereed]
HIROSE Hideo
Junaida Sulaiman, Herdianti Darwis, and Hideo Hirose   18(6) 999-1006   Nov 2014   [Refereed]
Hideo Hirose
2nd International Symposium on Applied Engineering and Sciences (SAES2014)      2014   [Refereed]
Dually Adaptive Online IRT Testing System to the Large Scale Data
Yoshiko Tokusada, Hideo Hirose
2nd International Symposium on Applied Engineering and Sciences (SAES2014)      2014   [Refereed]
Early Risk Detection Analysis using the PoP, Prediction on Predictions
Yuki, Koyanagi, Hideo Hirose
2nd International Symposium on Applied Engineering and Sciences (SAES2014)      2014   [Refereed]
Seasonal Infectious Disease Spread Prediction via the Large Scale Matrix Approach
Takeru Kiyosue, Hideo Hirose
2nd International Symposium on Applied Engineering and Sciences (SAES2014)      2014   [Refereed]
Prediction on Predictions with Application to Infectious Disease Spread Analysis
Hideo Hirose
The 2nd BMIRC International Symposium on Frontiers in Computational Systems Biology and Bioengineering      2013   [Refereed]
Bias Correction of Tradeoff Curve in the Bump Hunting Using the Tree-GA
Yu Aizawa, Hideo Hirose
The 2nd BMIRC International Symposium on Frontiers in Computational Systems Biology and Bioengineering      2013   [Refereed]
An Avian Influenza Mathematical Model
Supri bin Amir, Hideo Hirose
The 2nd BMIRC International Symposium on Frontiers in Computational Systems Biology and Bioengineering      2013   [Refereed]
Hideo Hirose, Liangliang Wang
the 5th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP'12)   100-105   2013   [Refereed]

Misc

 
廣瀬 英雄
広島工業大学紀要. 教育編   15 35-38   Feb 2016
It is considered to be difficult to design mathematics lectures for undergraduate classes if a variety of students exist in the same class. To grasp the structure of the classes as early as possible, placement tests are often performed. Using the ...
廣瀬 英雄
広島工業大学紀要. 教育編   15 25-33   Feb 2016
To undergraduate mathematics classes, flipped classrooms were performed. The theme is an application for the Taylor expansion to find the approximate probabilities for a normal distribution. There is a critical issue in applying the Taylor expansi...
廣瀬 英雄
広島工業大学紀要. 教育編   15 39-43   Feb 2016
The item response theory (IRT) is often used in modern educational evaluation scene. However, if the two groups are different from each other, the estimated IRT parameters such as item difficulty parameters, discriminant parameters, and students' ...
Takenori Sakumura, Masakazu Tokunaga, Hideo Hirose
情報処理学会論文誌数理モデル化と応用(TOM)   7(2) 17-26   Nov 2014
The item response theory (IRT) can estimate the parameters for the items of problems and the abilities of students by using the matrix of answering pattern. The conventional IRT is applied to the complete matrix in which all the students answered ...
廣瀬 英雄, 愛澤 優
日本計算機統計学会シンポジウム論文集   (28) 69-72   Nov 2014
TABUCHI Naoki, HIROSE Hideo
IEICE technical report. Reliability   114(256) 31-36   Oct 2014
In observing the actual lifetime of electric products, accelerated life tests are often used to save testing time and cost. In this paper, we search for the optimum life test plans of electrical insulation for thermal stress via the simulation stu...
SEGUCHI Ryudai, SATO Daiki, KORENARI Yuta, KOBAYASHI Fuminori, KOBAYASHI Jun, HIROSE Hideo
工学教育研究講演会講演論文集   26(62) 624-625   Aug 2014
KOBAYASHI Jun, HIROSE Hideo
Journal of Jsee   62(4) 4_19-4_21   2014
An Avian Influenza Mathematical Model
   2014
Bias Correction of Tradeoff Curve in the Bump Hunting Using the Tree-GA
   2014
Prediction on Predictions with Application to Infectious Disease Spread Analysis
   2014
Score allotment optimization method with application to comparison of ability evaluation in testing between classical test theory and item response theory
H. Hirose, T. Sakumura, T. Kuwahata
Information   17(2) 391-410   2014
Optimum Life Test Plans of Electrical Insulation for Thermal Stress
The 2014 IAENG International Conference on Electrical Engineering (ICEE'14)      2014
Prediction on Predictions by Ensemble Method
The 2014 IAENG International Conference on Operations Research (ICOR'14)      2014
PoP: Prediction on Predictions with Ensemble Method
Hideo Hirose, Yuki Koyanagi
IAENG International Journal of Applied Mathematics   44(2) 103-108   2014
NNRMLR2: An Improved Combined Method of Nearest Neighbor Regression and Multiple Linear Regression
   2014
Bias Correction for the Trade-off Curve in the Tree-GA Bump Hunting
5th International Conference on E-Service and Knowledge Management (ESKM 2014)      2014
Hideo Hirose,Masakazu Tokunaga, Takenori Sakumura, Junaida Sulaiman, Herdianti Darwis
6th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling      2014
Mathematical Deterioration Model Derivation for the Thermal Stress: Generalized Pareto Distribution
Hideo Hirose, Naoki Tabuchi, Takeru Kiyosue
6th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling      2014
Hideo Hirose, Takenori Sakumura
IEEE Trans., Dielectrics and Electrical Insulation      2014
Hideo HIROSE, Takenori SAKUMURA, and Naoki TABUCHI
IEEE Trans., Dielectrics and Electrical Insulation      2014
Hirose, Hideo; Aizawa, Yu
Proceedings of 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering      2014
Hirose, Hideo; Tokusada, Yoshiko
Proceedings of 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering      2014
Hirose, Hideo; Aizawa, Yu; Tokusada, Yoshiko; Noguchi, Kazuhisa
Proceedings of 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering      2014
Takenori Sakumura, Masakazu Tokunaga, Hideo Hirose
IPSJ SIG technical reports   2013(24) 1-6   Dec 2013
The item response theory (IRT) gives us the valuable information about the difficulties of problems as well as the abilities of students. Although, the IRT covers the complete matrix, the EM-type IRT can be applied to also the incomplete matrix. T...
Takenori Sakumura, Masakazu Tokunaga, Hideo Hirose
IPSJ SIG Notes   2013(24) 1-6   Dec 2013
The item response theory (IRT) gives us the valuable information about the difficulties of problems as well as the abilities of students. Although, the IRT covers the complete matrix, the EM-type IRT can be applied to also the incomplete matrix. T...
清末 尊, 作村 建紀, 廣瀬 英雄
日本計算機統計学会シンポジウム論文集   (27) 139-142   Nov 2013
The Arrhenius-log-normal model has been used, in general, for the deterioration model due to the thermal stress. The Arrhenius law is based on the chemical reaction theory between the absolute temperature and the activity of materials. In the Inte...
Tabuchi N., Sakumura T., Hirose H.
Proceedings of ... Reliability Symposium : the journal of Reliability Engineering Association of Japan   2013(26) 29-32   Nov 2013
We assume the Arrhenius law between the thermal stress and the lifetime, and the lifetime follows the generalized logistic distribution at a constant stress. By using a real experimental case, we obtained the estimates first. Then, we made a simul...
HIROSEI Hideo, SAKUMURA Takenori, KOYANAGI Yuki
IEICE technical report. Reliability   113(249) 1-6   Oct 2013
In observing the widely spread of patients caused by infectious diseases or the increase of the number of failures of equipments, it is crucial to predict the final number of infected patients or failures at earlier stages. To estimate the number ...
SULAIMAN Junaida, HERDIANTI Darwis, HIROSE Hideo
IEICE technical report. Reliability   113(249) 7-12   Oct 2013
Several days of precipitation can increase the magnitude of accumulated water in a basin. This can cause the lower area of community and housing over flooded with rainfall water in a short time. Many researchers are using precipitation data for fo...
HIROSE Hideo, SAKUMURA Takenori
IEICE technical report. Reliability   113(249) 13-18   Oct 2013
We try to construct mathematical models to represent the relationship between the thermal stress and the deterioration rate for electrical insulation. The Arrhenius-log-normal model has been used generally for such a deterioration model due to the...
TOKUSADA Yoshiko, TOKUNAGA Masakazu, SAKUMURA Takenori, HIROSE Hideo
IEICE technical report. Reliability   113(249) 41-45   Oct 2013
Middle East respiratory syndrome coronavirus (MERS-CoV), similar to SARS, has been emerging recently, and this kind of virus is a threat to human-being because the case fatality ratio could be almost 50% which is larger than the one of SARS. In pa...
DARWIS Herdianti, HIROSE Hideo
IEICE technical report. Reliability   113(249) 47-51   Oct 2013
Transfer function model combines the causal inputs and output with a kind of convolution. When the input is not single, we use multiple-input transfer function. In rainfall analysis, time series regression is often used. However, in the methods, w...
SAKUMURA Takenori, TOKUNAGA Masakazu, HIROSE Hideo
IEICE technical report. Reliability   113(249) 53-58   Oct 2013
The item response theory (IRT) gives us the valuable information about the difficulties of problems as well as the abilities of students. Although, the IRT covers the complete matrix, the EM-type IRT can be applied to also the incomplete matrix. T...
TOKUNAGA Masakazu, HIROSE Hideo
Proceedings of ... Reliability Symposium : the journal of Reliability Engineering Association of Japan   2013(21) 69-72   Jun 2013
The matrix decomposition is one of the most powerful methods in recommendation systems. In the recommendation system, even if evaluation values in a matrix where users and items are corresponding to row and column are provided incompletely, we can...
A seasonal infectious disease spread prediction method by using the singular-value decomposition
   2013
Pandemic analysis using SIR stochastic differential equation
   2013
Pandemic Simulations by MADE: A combination of Multi-agent and Differential Equations, with Novel Influenza A(H1N1)
H. Hirose
Information   16(7B) 5365-5390   2013
International Symposium on Computational Intelligence and Design (SCID2013)      2013
Some Methods to Predict Risks Earlier
Ishigaki International Conference on Modern Statistics Theories, Practices, and Education in the 21st Century      2013
Statistical Lifetime Estimation for Electrical Power Apparatus due to Electrical and Thermal Stresses
IEEE DEI Fukuoka Chapter Invited Lecture      2013
SULAIMAN Junaida, HIROSE Hideo
IEICE technical report. Reliability   112(252) 17-22   Oct 2012
Heavy precipitation events generally have the highest impact in terms of flooding and economic losses. By using Artificial Neural Network (ANN) in predicting heavy precipitation allows projections of such events in the future. Since last decade, A...
SAKUMURA Takenori, HIROSE Hideo
IEICE technical report. Reliability   112(252) 23-28   Oct 2012
The cumulative exposure model is often used to express the failure probability model in step-stress accelerated life test; the step-up procedure continues until a break down occurs. This probability model is widely accepted in reliability fields b...
KAWANO Tsubasa, HIROSE Hideo
IEICE technical report. Reliability   112(252) 29-32   Oct 2012
We sometimes use the statistical model for truncated data when we want to predict the final stage for a pandemic or failures using the data in early pandemic period or failures. In such a situation, the estimates for number of patients or failures...
WANG Liangliang, HIROSE Hideo
日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集   2012 250-251   Sep 2012
Sulaiman Junaida, Hirose Hideo
Proceedings of ... Reliability Symposium : the journal of Reliability Engineering Association of Japan   2012(20) 37-40   Jun 2012
The purpose of this paper is to study the effect of seasonal variations using artificial neural network (ANN) and support vector machine (SVM) prediction models. It is important to consider the seasonal effect because the predictors will be able t...
Kawano Tsubasa, Hirose Hideo
Proceedings of ... Reliability Symposium : the journal of Reliability Engineering Association of Japan   2012(20) 41-44   Jun 2012
We sometimes use the statistical model for truncated data when we want to predict the final stage for a pandemic or failures using the data in early pandemic period or failures. In such a situation, the estimates for number of patients or failures...
F. Zaman, Monira S.S., H. Hirose
Intelligent Information and Database Systems 4th Asian Conference, ACIIDS 2012   291-300   2012
F. Zaman, S. Sumi, H. Hirose
Recent Progress in Data Engineering and Internet Technology      2012
A Comparative Study in the Bump Hunting between the Tree-GA and the PRIM
   2012
Item Response Prediction for Incomplete Response Matrix Using the EM-type Item Response Theory with Application to Adaptive Online Ability Evaluation System
8-12   2012
NNRMLR: A Combined Method of Nearest Neighbor Regression and Multiple Linear Regression
351-356   2012
A rainfall forecasting method using machine learning models and its application to Fukuoka city case
22(4)    2012
Prediction of Infectious Disease Spread using Twitter: A Case of Influenza
   2012
An Application of Artificial Neural Networks for Forecasting Heavy Precipitation
   2012
Soejima Yusuke, Hirose Hideo
日本計算機統計学会シンポジウム論文集   (25) 9-12   Nov 2011
In predicting the prices for auctions, we often use linear regression methods where the objective variable is the price. To find the estimate for price, we apply regularization methods in regression such as the ridge, lasso, and their relatives. I...
HIROSE Hideo, SAKUMURA Takenori
IEICE technical report. Reliability   111(253) 29-34   Oct 2011
The cumulative exposure model (GEM) is often used to express the failure probability model in the step-up test method ; the step-up procedure continues until a breakdown occurs. This probability model is widely accepted in reliability fields becau...
廣瀬 英雄, 松隈 和広, 作村 建紀
情報処理学会論文誌 論文誌トランザクション   2011(1) 102-109   Oct 2011
廣瀬 英雄, 松隈 和広, 作村 建紀
情報処理学会論文誌数理モデル化と応用(TOM)   4(3) 102-109   Jul 2011
感染症拡大を予測するパンデミックシミュレーションはシナリオによるシミュレーションとして取り扱われてきたが,実際にパンデミックが起こり始めると,観測データを使いながら将来どのようになるかを予測できるかということが重要になってくる.モデルの構造を仮定し,観測データを利用してモデルのパラメータを同定しながら予測を進める方法論は,データ同化とかグレーボックスとも呼ばれているが,パンデミック予測を行ううえでもこのことが必要になってくる.ここでは,微分方程式によるSIRモデルのパラメータを観測データか...
Hirose Hideo, Sakumura Takenori
Proceedings of ... Reliability Symposium : the journal of Reliability Engineering Association of Japan   2011(19) 65-68   Jun 2011
The cumulative exposure model (CEM) is often used to express the failure probability model in the step-up test method; the step-up procedure continues until breakdown occurs. This probability model is widely accepted in reliability fields because ...
Journal of Statistical Computation and Simulation   81(1) 79-87   2011
Validities of The Signed and Unsigned Lecture Questionnaires using the Item Response Theory
The 9th Annual Hawaii International Conference on Education      2011
DF-ReaL2Boost: A Hybrid Decision Forest with Real L2Boosted Decision Stumps - An Application to Credit Scoring Classification and Short Term Rainfall Forecasting
F. Zaman,S.M. Sumi,and H. Hirose
2011International Conference on Data Engineering and Internet Technology (DEIT 2011)   PID728    2011
A Novel Hybrid Forecast Model with Weighted Forecast Combination with Application to Daily Rainfall Forecast of Fukuoka City
262-271   2011
Estimation of Optimal Sample Size in Decision Forest of SVM with Embedded Cross-validation Method
272-281   2011
Parameter Estimation for the Truncated Weibull Model Using the Ordinary Differential Equation
396-399   2011
A Neural Network Ensemble Incorporated with Dynamic Variable Selection For Rainfall Forecast
7-12   2011
An Adaptive Ensemble Method for Quantitative Rainfall Forecast
WeA07-02 149-154   2011
Bump Hunting using the Tree-GA
14(10) 3409-3424   2011
Validities of the Signed and Unsigned Lecture Questionnaires Using the Item Response Theory
1(5) 627-635   2011
Auction Price Estimation for Used Cars by Regression Methods
9-12   2011
An Adaptive Online Ability Evaluation System Using the Item Response Theory
51-54   2011
廣瀬 英雄, 松隈 和広, 作村 建紀
研究報告バイオ情報学(BIO)   2010(15) 1-6   Dec 2010
疫病感染拡大を予測するパンデミックシミュレーションはシナリオによるシミュレーションとして取り扱かわれてきたが,実際にパンデミックが起こり始めると,観測データを使いながら将来どのようになるかを予測できるかということが重要になってくる.モデルの構造を仮定し,観測データを利用してモデルのパラメータを同定しながら予測を進める方法論は,データ同化とかグレーボックスとも呼ばれているが,パンデミック予測を行う上でもこのことが必要になってくる.ここでは,微分方程式による SIR モデルのパラメータを観測デ...
廣瀬 英雄, 松隈 和広, 作村 建紀
研究報告数理モデル化と問題解決(MPS)   2010(15) 1-6   Dec 2010
疫病感染拡大を予測するパンデミックシミュレーションはシナリオによるシミュレーションとして取り扱かわれてきたが,実際にパンデミックが起こり始めると,観測データを使いながら将来どのようになるかを予測できるかということが重要になってくる.モデルの構造を仮定し,観測データを利用してモデルのパラメータを同定しながら予測を進める方法論は,データ同化とかグレーボックスとも呼ばれているが,パンデミック予測を行う上でもこのことが必要になってくる.ここでは,微分方程式による SIR モデルのパラメータを観測デ...
HIROSE Hideo, MATSUKUMA Kazuhiro, KAWANO Tsubasa, SAKUMURA Takenori
IEICE technical report. Reliability   110(262) 15-20   Oct 2010
For infectious disease spread prediction models, we use the SIR model by the ordinary differential equations and the statistical truncated model, and we compare the results between these two methods in the cases of SARS, the new influenza A(H1N1),...
Sirajum Monira Sumi, Hirose Hideo
Proceedings of ... Reliability Symposium : the journal of Reliability Engineering Association of Japan   2010(18) 41-44   May 2010
The objective of the paper is to analyze the rainfall data using the logistic regression model. More precisely, we are interested in finding out the most influential variables (effects) behind the rainfall in Bangladesh. In doing this, we fit seas...
Koga Genki, Hirose Hideo
Record of Joint Conference of Electrical and Electronics Engineers in Kyushu   2010(0) 490-492   2010
分類が困難なデータに対するデータマイニングの手法の一つとしてbump huntingがある.事前研究では,決定木に遺伝的アルゴリズムを組み込み,変数が独立している場合においてbump huntingを行い,その精度の検証が行われた.しかし,実際に企業や研究で扱うようなデータは,複数の説明変数が相関を持ち,複雑な因果関係を構築していることも珍しくない.そこで,本研究では説明変数間に相関がある場合において,シミュレーションを行い,bump huntingの指標である,獲得率を理論的に求めた獲得...
The 3rd International Conference on Knowledge Discovery and Data Mining   597-600   2010
Test Evaluation System Via The Web Using The Item Response Theory
H. Hirose and T. Sakumura
8th annual Hawaii International Conference on Education      2010
S. Okabe,T. Tsuboi,G. Ueta,J. Takami,H. Hirose
IEEE Trans., Dielectrics and Electrical Insulation   17(1) 2-4   2010
H. Hirose and F. Zaman
IEEE Trans., Dielectrics and Electrical Insulation   17(1) 271-279   2010
F. Zaman,H. Hirose
The 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS 2010)   LNAI 5991 320-329   2010
On Selecting Additional Classifier Models in Double Bagging Type Ensemble Method
F. Zaman,H. Hirose
The 2010 International Conference on Computational Science and Its Applications (ICCSA 2010)   199-208   2010
Test evaluation system via the Web using the item response theory
T. Sakumura,H. Hirose
Information   13(3) 647-656   2010
G. Ueta,T. Tsuboi,J. Takami,S. Okabe,H. Hirose
IEEE Trans., Dielectrics and Electrical Insulation   17(4) 1336-1345   2010
An Accurate Ability Evaluation Method for Every Student with Small Problem Items Using The Item Response Theory
H. Hirose and T. Sakumura
the International Conference on Computer and Advanced TEchnology in Education (CATE 2010)   865-868   2010
Student Ability Evaluation using the Stress-Strength Model When Ability is the Random Variable
T. Sakumura and H. Hirose
the 2010 International Congress on Computer Applications and Computational Science (CACS 2010)   865-868   2010
Sumi S. Monira,Zaman M. Faisal,H. Hirose
the 13th International Conference on Computer And Information Technology (ICCIT 2010)   PID728    2010
TOYOSAKA Yuki, HIROSE Hideo
IEICE technical report. Reliability   109(232) 31-36   Oct 2009
So far, we have proposed a combined model, the MADE, consisting of the SIR model with ordinary differential equations and the MAS model with multi-agent model, and shown its validity and efficiency with pandemic simulation study. Pandemic simulati...
廣瀬 英雄, 鶴 康太郎, 作村 建紀
信頼性シンポジウム発表報文集   2009(17) 43-46   Jun 2009
HIROSE Hideo, TOYOSAKA Yuki
The journal of Reliability Engineering Association of Japan   31(4) 270-277   Jun 2009
人から人へ感染するように変異した鳥インフルエンザが現れれば,世界中で多数の死者が出ると予想され人類にとって脅威となる.どの程度の被害が出るのか,どのように防げば被害が少なくなるのかは経験がないために全く予想できない.そこで,いくつかの考えられる条件のもとでシミュレーションを行い,災厄の見当をつけることを考える.この方法は従来の対比する対象がある場合のシミュレーションの枠組みと異なり,いわばシナリオにもとづくシミュレーションである.ここでは,感染病が蔓延するパンデミックシミュレーションについ...

Books etc

 
Lecture Notes in Computer Science
Springer   2009   
Lecture Notes in Computer Science
Springer   2009   
Lecture Notes in Computer Science
Springer   2011   
Lecture Notes in Computer Science
Springer   2011   
Lecture Notes in Computer Science
Springer   2012   
Studies in Computational Intelligence
Springer   2013   ISBN:978-3-642-32172-6_2
Lecture Notes in Electrical Engineering
Springer   2013   
Studies in Computational Intelligence
Springer   2013   ISBN:978-3-319-00738-0

Conference Activities & Talks

 
Design and implementation of large scale online testing system targeted at undergraduate students
HIROSE Hideo
May 2017   
Lifetime Estimation for Thermal Stress Deterioration via the Mechanical Strength
Naoki Tabuchi, Shinya Nakano, Hideo Hirose
Mar 2015   
Solving the SIR Equations via the Stochastic Differential Equations with Some Applications
Oct 2014   
Prediction on Predictions
Oct 2014   
Optimum Lifetime Prediction Testing under the Arrhenius Law
Naoki Tabuchi, Hideo Hirose
Oct 2014   
Estimation of the Number of Failures Using Ordinary Differential Equations to Reliability Models, with Applications to SARS, A(H1N1), and FMD Cases
2011   
Robust Bagging Algorithm in Small Sample Classification
2008   
Diagnosis Accuracy for GIS Fault Detection Using the Ensemble Methods of Classifiers
2008   
Diagnosis accuracy in electric power apparatus condisions using the classification methods
2007   
Applications of the Extended Weibull Distribution to Reliability Analysis
2000   
Confidence Interval of the Low Percentile Point in the Three-Parameter Weibull Distribution
1993   

Works

 
Design Competition Totally Unexpected 2013
2014
Design Competition Totally Unexpected 2012
2012
Design Competition Totally Unexpected 2011
2011
Swine Flu spread estimation
2011
Japan's Foot-and-Mouth disease spread analysis using a mathematical model Author:
2011
design competition totally unexpected 2010
2011
Japan's FMD spread analysis using a mathematical model
2010
Design Competition Totally Unexpected 2009
2010
swine flu spread estimation
2009
swine flu propagation animation
2009

Research Grants & Projects

 
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