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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2017-05-26 15:30 |
Okayama | Purity Makibi | Design and implementation of large scale online testing system targeted at undergraduate students Hideo Hirose (Hiroshima Inst. of Tech.)  R2017-7 |
We are now accepting a variety of students in many universities. To educate every students, we have provided online tes... [more] |
R2017-7 pp.37-42 |
| R | 2014-10-17 16:20 |
Kagoshima | Optimum Lifetime Prediction Testing under the Arrhenius Law Naoki Tabuchi, Hideo Hirose (Kyutech) R2014-60 |
In observing the actual lifetime of electric products, accelerated life tests are often used to save testing time and co... [more] | R2014-60 pp.31-36 |
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| R | 2013-10-18 13:30 |
Fukuoka | PoP: Prediction on Predictions Hideo Hirose, Takenori Sakumura, Yuki Koyanagi (Kyushu Inst. of Tech.) R2013-64 |
In observing the widely spread of patients caused by infectious diseases or the increase of the number of failures of eq... [more] | R2013-64 pp.1-6 |
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| R | 2013-10-18 13:55 |
Fukuoka | A Neural Network Model for Forecasting Precipitation Extreme Junaida Sulaiman, Darwis Herdianti, Hideo Hirose (Kyushu Inst. of Tech.) R2013-65 |
Several days of precipitation can increase the magnitude of accumulated water in a basin. This can cause the lower area ... [more] | R2013-65 pp.7-12 |
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| R | 2013-10-18 14:20 |
Fukuoka | A Mathematical Deterioration Model for the Thermal Stress Hideo Hirose, Takenori Sakumura (Kyushu Inst. of Tech.) R2013-66 |
We try to construct mathematical models to represent the relationship between the thermal stress and the deterioration r... [more] | R2013-66 pp.13-18 |
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| R | 2013-10-18 15:55 |
Fukuoka | Prediction for the Spread of MERS Infection after Mecca Hajj Pilgrimage Yoshiko Tokusada, Masakazu Tokunaga, Takenori Sakumura, Hideo Hirose (Kyushu Inst. of Tech.) R2013-71 |
Middle East respiratory syndrome coronavirus (MERS-CoV), similar to SARS, has been emerging recently, and this kind of v... [more] | R2013-71 pp.41-45 |
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| R | 2013-10-18 16:20 |
Fukuoka | Rainfall Intensity Forecasting using the Multiple-input Transfer Function with Application to Makassar Case from 2001 to 2010 Herdianti Darwis, Hideo Hirose (Kyushu Inst. of Tech.) R2013-72 |
Transfer function model combines the causal inputs and output with a kind of convolution. When the input is not single, ... [more] | R2013-72 pp.47-51 |
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| R | 2013-10-18 16:45 |
Fukuoka | A method to estimate the complete matrix from the incomplete matrix using the EM-type IRT Takenori Sakumura, Masakazu Tokunaga, Hideo Hirose (Kyushu Inst. of Tech.) R2013-73 |
The item response theory (IRT) gives us the valuable information about the difficulties of problems as well as the abili... [more] | R2013-73 pp.53-58 |
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| R | 2012-10-19 15:00 |
Fukuoka | Seasonal Prediction of Climate in Malaysia using the Artificial Neural Networks Junaida Sulaiman, Hideo Hirose (Kyushu Inst. of Tech.) R2012-57 |
Heavy precipitation events generally have the highest impact in terms of flooding and economic losses. By using Artifici... [more] | R2012-57 pp.17-22 |
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| R | 2012-10-19 15:25 |
Fukuoka | A Simulation of the Extended Cumulative Exposure Model Takenori Sakumura, Hideo Hirose (KIT) R2012-58 |
The cumulative exposure model is often used to express the failure probability model in step-stress accelerated life tes... [more] | R2012-58 pp.23-28 |
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| R | 2012-10-19 15:50 |
Fukuoka | A Consideration on the Estimates of Failure Parameters using the Observed Data in Early Time Tsubasa Kawano, Hideo Hirose (KIT) R2012-59 |
We sometimes use the statistical model for truncated data when we want to predict the final stage for a pandemic or fail... [more] | R2012-59 pp.29-32 |
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| R | 2011-10-21 15:55 |
Fukuoka | On The Extended Cumulative Exposure Model, ECEM Hideo Hirose, Takenori Sakumura (Kyushu Inst. of Tech.) R2011-32 |
The cumulative exposure model (CEM) is often used to express the failure probability model in the step-up test method; t... [more] | R2011-32 pp.29-34 |
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| R | 2010-10-29 14:05 |
Kagoshima | Infectious Disease Spread Predictions and Recent Examples Hideo Hirose, Kazuhiro Matsukuma, Tsubasa Kawano, Takenori Sakumura (KIT) R2010-27 |
For infectious disease spread analysis, like SARS, the novel influenza, and the FMD (foot-and-mouth disease), we have us... [more] | R2010-27 pp.15-20 |
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| R | 2009-10-16 15:40 |
Fukuoka | Kyutech Plaza@Tenjin of Kyushu Institute of Technology | Pandemic Analysis in Swine Influenza A(H1N1)) Yuki Toyosaka, Hideo Hirose (Kyushu Inst. of Tech.) R2009-38 |
So far, we have proposed a combined model, the MADE, consisting of the SIR model with ordinary differential equations an... [more] | R2009-38 pp.31-36 |
| R | 2008-10-17 15:50 |
Fukuoka | Kyusyu Institute of Technology | The consistency between the two kinds of pandemic simulations of the SEIR model and the MAS model Yuki Toyosaka, Mitsuhiko Fujio, Hideo Hirose (KIT) R2008-33 |
There are mainly two kinds of methods for pandemic simulations: one is the SEIR model and the other is the MAS model, th... [more] | R2008-33 pp.33-38 |
| R | 2008-10-17 16:15 |
Fukuoka | Kyusyu Institute of Technology | Diagnosis Accuracy in Electric Power Apparatuses Conditions using the Classification Methods Hideo Hirose, Faisal M. Zaman, Kotaro Tsuru (Kyushu Inst. of Tech.), Toshihiro Tsuboi, Shimitsu Okabe (Tokyo Electric Power) R2008-34 |
To diagnose the electric power apparatus, the use of the decision tree method was recommended as a classification tool b... [more] | R2008-34 pp.39-44 |
| R | 2007-10-19 13:00 |
Fukuoka | Kyushu University | Estimation for the sample size in incomplete data cases Hideo Hirose (Kyushu Inst. of Tech.) R2007-37 |
A method to obtain the estimates for parameters and the size of fragile population and their confidence intervals in the... [more] | R2007-37 pp.1-6 |
| R | 2006-10-20 14:50 |
Fukuoka | Kyushu University | A Risk Analysis for the Infectious Disease Spread Yuki Toyosaka, Mitsuhiko Fujio, Hideo Hirose (Kyushu Inst Technol) |
Considering that the social influence due to a pandemic influenza that human being might be confronted with in the 21st ... [more] | R2006-29 pp.13-17 |
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