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138 results on '"Sako, Hiroshi"'

1. ViennaDoc: An Animatable and Testable Specification Documentation Tool

Author

Oda, Tomohiro, Araki, Keijiro, Yamamoto, Yasuhiro, Nakakoji, Kumiyo, Sako, Hiroshi, Chang, Han-Myung, Larsen, Peter Gorm, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sekerinski, Emil, editor, Moreira, Nelma, editor, Oliveira, José N., editor, Ratiu, Daniel, editor, Guidotti, Riccardo, editor, Farrell, Marie, editor, Luckcuck, Matt, editor, Marmsoler, Diego, editor, Campos, José, editor, Astarte, Troy, editor, Gonnord, Laure, editor, Cerone, Antonio, editor, Couto, Luis, editor, Dongol, Brijesh, editor, Kutrib, Martin, editor, Monteiro, Pedro, editor, and Delmas, David, editor

Published
2020
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2. Detection of a Hand Holding a Cellular Phone Using Multiple Image Features

Author

Nagayoshi, Hiroto, Watanabe, Takashi, Kagehiro, Tatsuhiko, Ogata, Hisao, Yasue, Tsukasa, Sako, Hiroshi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Foggia, Pasquale, editor, Sansone, Carlo, editor, and Vento, Mario, editor

Published
2009
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3. A Display Technique for Preventing Electromagnetic Eavesdropping Using Color Mixture Characteristic of Human Eyes

Author

Watanabe, Takashi, Nagayoshi, Hiroto, Sako, Hiroshi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Solanki, Kaushal, editor, Sullivan, Kenneth, editor, and Madhow, Upamanyu, editor

Published
2008
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11. Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings

Author

Liu, Cheng-Lin, Sako, Hiroshi, and Fujisawa, Hiromichi

Subjects
Artificial intelligence, Artificial intelligence -- Research
Abstract

In integrated segmentation and recognition of character strings, the underlying classifier is trained to be resistant to noncharacters. We evaluate the performance of state-of-the-art pattern classifiers of this kind. First, we build a baseline numeral string recognition system with simple but effective presegmentation. The classification scores of the candidate patterns generated by presegmentation are combined to evaluate the segmentation paths and the optimal path is found using the beam search strategy. Three neural classifiers, two discriminative density models, and two support vector classifiers are evaluated. Each classifier has some variations depending on the training strategy: maximum likelihood, discriminative learning both with and without noncharacter samples. The string recognition performances are evaluated on the numeral string images of the NIST Special Database 19 and the zipcode images of the CEDAR CDROM-1. The results show that noncharacter training is crucial for neural classifiers and support vector classifiers, whereas, for the discriminative density models, the regularization of parameters is important. The string recognition results compare favorably to the best ones reported in the literature though we totally ignored the geometric context. The best results were obtained using a support vector classifier, but the neural classifiers and discriminative density models show better trade-off between accuracy and computational overhead. Index Terms--Numeral string recognition, integrated segmentation and recognition, noncharacter resistance, character classification, neural classifiers, discriminative density models, support vector classifiers.

Published
2004

12. Discriminative learning quadratic discriminant function for handwriting recognition

Author

Liu, Cheng-Lin, Sako, Hiroshi, and Fujisawa, Hiromichi

Subjects
Neural networks -- Research, Neural network, Business, Computers, Electronics, Electronics and electrical industries
Abstract

In character string recognition integrating segmentation and classification, high classification accuracy and resistance to noncharacters are desired to the underlying classifier. In a previous evaluation study, the modified quadratic discriminant function (MQDF) proposed by Kimura et al. was shown to be superior in noncharacter resistance but inferior in classification accuracy to neural networks. This paper proposes a discriminative learning algorithm to optimize the parameters of MQDF with aim to improve the classification accuracy while preserving the superior noncharacter resistance. We refer to the resulting classifier as discriminative learning QDF (DLQDF). The parameters of DLQDF adhere to the structure of MQDF under the Gaussian density assumption and are optimized under the minimum classification error (MCE) criterion. The promise of DLQDF is justified in handwritten digit recognition and numeral string recognition, where the performance of DLQDF is comparable to or superior to that of neural classifiers. The results are also competitive to the best ones reported in the literature. Index Terms--Discriminative learning quadratic discriminant function (DLQDF), handwritten digit recognition, minimum classification error (MCE), noncharacter resistance, numeral string recognition, pattern classification.

Published
2004

18. Approach to the Social Mechanism to Reduce the CO2 Emission from Existing Buildings

Author

Sako, Hiroshi, Magori, Bumpei, Yashiro, Tomonari, Fujii, Hayato, Mizutani, Yoshikazu, Sako, Hiroshi, Magori, Bumpei, Yashiro, Tomonari, Fujii, Hayato, and Mizutani, Yoshikazu

Abstract

This paper points out about the possibility to reduce CO2 emission from the existing building operation which is left by any business parties. Many existing building are not operated efficiently in terms of energy consumption. This paper introduces a field study for the analysis of the energy consumption in the existing building. This study verifies that making the detail analysis of building facility operation can reduce the energy consumption in the existing building. In addition, this paper proposes one approach to the social mechanism in order to reduce the CO2 emission from the existing building.

Published
2019

19. Optical implementation of a translation-invariant second-order neural network for multiple-pattern classification

Author

Kakizaki, Sunao, Horan, Paul, Sako, Hiroshi, Saito, Atsushi, and Kugiya, Fumio

Subjects
Neural networks -- Research, Optical data processing -- Research, Astronomy, Physics
Abstract

A novel approach to the optical implementation of second-order neural networks that can recognize multiple patterns is reported. The systems issues, especially the accuracy required for the weighted interconnections, are discussed for numeric character (0-9) recognition. It is shown that the accuracy of the weighted interconnections has a far greater influence on the network performance during training than on classification. To lessen the problem, we introduce an adaptive learning rule, whereby the optical power is adjusted during training. Finally, numeric character recognition using an experimental system with a liquid-crystal display is demonstrated. Key words: Neural networks, second-order neural networks, optical implementation, weight quantization.

Published
1994

25. DISCUSSION OF EFFECTIVENESS ABOUT ELECTRICAL DEMAND MANAGEMENT FOR BUILDINGS UTILIZING REALTIME ENERGY MONITORING SYSTEM WHICH CONTRIBUTES TO A DEMAND RESPONSE

Author

Tomonari Yashiro, Bumpei Magori, and Sako Hiroshi

Subjects
Demand response, Demand management, Microeconomics, Peak demand, Energy management, Architecture, Economics, Monitoring system, Building and Construction, Environmental economics, Electricity demand, Energy (signal processing)
Published
2013
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30. Approach to the Social Mechanism to Reduce the CO2 Emission from Existing Buildings

Author

Sako, Hiroshi, Magori, Bumpei, Yashiro, Tomonari, Fujii, Hayato, and Mizutani, Yoshikazu

Subjects
energy conservation, CO2 emission, Energy management system
Abstract

This paper points out about the possibility to reduce CO2 emission from the existing building operation which is left by any business parties. Many existing building are not operated efficiently in terms of energy consumption. This paper introduces a field study for the analysis of the energy consumption in the existing building. This study verifies that making the detail analysis of building facility operation can reduce the energy consumption in the existing building. In addition, this paper proposes one approach to the social mechanism in order to reduce the CO2 emission from the existing building.

Published
2010

31. Synthesis of CaFe2O4Nanorod Thin Film Using Molten Salt Method and Analysis of Its Photoelectrochemical Properties

Author

Yamaguchi, Akira, Sako, Hiroshi, and Miyauchi, Masahiro

Abstract

In this study, calcium ferrite (CaFe2O4) nanorod thin films are synthesized using the molten salt method and applied to photocathodes. SEM observation showed nanorod structure was constructed on Pt substrate by this method with lower temperature than conventional processes. Moreover, photoelectrochemical results demonstrate that the synthesized CaFe2O4nanorods exhibited higher photo response as compared to CaFe2O4rods prepared without using this method. Thus, the method in this work provides an economical avenue for facile synthesis of CaFe2O4-based photofunctional materials.Calcium ferrite (CaFe2O4) nanorod thin films are synthesized using the molten salt method and applied to photocathodes. SEM observation showed nanorod structure was constructed on Pt substrate by this method with lower temperature than conventional processes. Moreover, photoelectrochemical results demonstrate that the synthesized CaFe2O4nanorods exhibited higher photo response as compared to CaFe2O4rods prepared without using this method.

Published
2020
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32. Advancements in laser diode chip and packaging technologies for application in kW-class fiber laser pumping

Author

Zucker, Erik, additional, Zou, Daniel, additional, Zavala, Laura, additional, Yu, Hongbo, additional, Yalamanchili, Prasad, additional, Xu, Lei, additional, Xu, Hui, additional, Venables, David, additional, Skidmore, Jay, additional, Rossin, Victor, additional, Raju, Reddy, additional, Peters, Matthew, additional, Liao, Kai-Hsiu, additional, Lee, Kong-Weng, additional, Kharlamov, Boris, additional, Hsieh, Allen, additional, Gurram, Rupa, additional, Guo, James, additional, Guerin, Nicolas, additional, Gregg, Jeff, additional, Duesterberg, Richard, additional, Du, Jihua, additional, Demir, Abdullah, additional, Cheng, Peter, additional, Cheng, Jane, additional, Ishiguro, Hiroaki, additional, Li, Ruotao, additional, Mizoguchi, Yuya, additional, and Sako, Hiroshi, additional

Published
2014
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37. 1.2-kW single-mode fiber laser based on 100-W high-brightness pump diodes

Author

Yu, Hongbo, primary, Kliner, Dahv A. V., additional, Liao, Kai-Hsiu, additional, Segall, Jeff, additional, Muendel, Martin H., additional, Morehead, James J., additional, Shen, Jane, additional, Kutsuris, Matt, additional, Luu, Johnny, additional, Franke, Justin, additional, Nguyen, Kelvin, additional, Woods, Dave, additional, Vance, Fred, additional, Vecht, David L., additional, Meng, David, additional, Duesterberg, Richard, additional, Xu, Lei, additional, Skidmore, Jay, additional, Peters, Matthew, additional, Guerin, Nicolas, additional, Guo, James, additional, Cheng, Jane, additional, Du, Jihua, additional, Johnson, Brad, additional, Yin, Dongliang, additional, Hsieh, Allen, additional, Cheng, Peter, additional, Demir, Abdullah, additional, Cai, Jason, additional, Gurram, Rupa, additional, Lee, Kong-Weng, additional, Raju, Reddy, additional, Zou, Daniel, additional, Srinivasan, Raman, additional, Saini, Mandeep, additional, Zavala, Laura, additional, Rossin, Victor, additional, Zucker, Erik P., additional, Ishiguro, Hiroaki, additional, and Sako, Hiroshi, additional

Published
2012
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40. 4-kW fiber laser for metal cutting and welding

Author

Kliner, Dahv A. V., primary, Chong, Kwang, additional, Franke, Justin, additional, Gordon, Thomas, additional, Gregg, Jeff, additional, Gries, Wolfgang, additional, Hu, Helen, additional, Ishiguro, Hiroaki, additional, Issier, Vincent, additional, Kharlamov, Boris, additional, Kliner, Andrea, additional, Kobayashi, Masanao, additional, Liao, Kai-Hsiu, additional, Lugo, Juan, additional, Luu, Johnny, additional, Meng, David, additional, Morehead, James J., additional, Muendel, Martin H., additional, Myers, Lawrence E., additional, Nguyen, Kelvin, additional, Sako, Hiroshi, additional, Schneider, Kyle, additional, Segall, Jeff, additional, Shigeoka, Katherine, additional, Srinivasan, Raman, additional, Tucker, Derek, additional, Woll, Dirk, additional, Woods, David L., additional, Yu, Hongbo, additional, and Zhang, Chris, additional

Published
2011
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