Extraction of Process Model Parameters Based on Distributed Genetic Algorithms (2008)
Masahiro Murakawa, Yoshinori Oda, Tetsuya Higuchi, Kenji Nishi
Abstract — In this paper, we present a GA (Genetic Algorithm) application for process model calibration. We propose a distributed GA-based calibration technique combined with the traditional local...
Initial Evaluation of an Evolvable Microwave Circuit (2008)
Yuji Kasai, Hidenori Sakanashi, Masahiro Murakawa, Shogo Kiryu, Neil Marston, Tetsuya Higuchi
Abstract. Microwave circuits are indispensable for mobile and multimedia communication. However, these circuits are very difficult to design, because of the nature of distributed-constant circuits in...
Automatic Optical Fiber Alignment System using Genetic Algorithms (2008)
Masahiro Murakawa, Hirokazu Nosato, Tetsuya Higuchi
Abstract. We propose and demonstrate an automatic optical fiber alignment system using genetic algorithms. Connecting optical fibers is difficult because the connecting edges should be aligned with...
Yong Liu, Tetsuya Higuchi, Xin Yao
Based on negative correlation learning and evolutionary learning, this paper presents evolu-tionary ensembles with negative correlation learning (EENCL) to address the issues of automatic...
Power Dissipation Reductions with Genetic Algorithms (2008)
Eiichi Takahashi, Masahiro Murakawa, Yuji Kasai, Tetsuya Higuchi
Two cases of power dissipation reduction with postfabrication adjustment using genetic algorithms are introduced in this paper. The first is a 1GHz ALU implementation, where power consumption has...
Didier Keymeulen, Kenji Konaka, Masaya Iwata, Yasuo Kuniyoshi, Tetsuya Higuchi
Recently there has been great interest in the design and study of evolvable systems in order to control the behavior of physically embedded systems. Due to the complexity of their architecture and...
Promises and Challenges of Evolvable Hardware (2007)
Xin Yao (smieee, Tetsuya Higuchi
Evolvable hardware (EHW) has attracted increasing attention since early 1990's with the advent of easily reconfigurable hardware such as field programmable gate arrays (FPGAs). It promises to...
An Image Rejection Mixer with AI-Based Improved Performance for WCDMA Applications (2006)
KASAI, Yuji, MIYASHITA, Kiyoshi, SAKANASHI, Hidenori, TAKAHASHI, Eiichi, IWATA, Masaya, MURAKAWA, Masahiro, ...
This paper proposes the combination of adjustable architecture and parameter optimization software, employing a method based on artificial intelligence (AI), to realize an image rejection mixer (IRM)...
An integrated on-line learning system for evolving programmable logic array controllers (2000)
Yong Liu, Masaya Iwata, Tetsuya Higuchi, Didier Keymeulen
Abstract. This paper presents an integrated on-line learning system to evolve programmable logic array (PLA) controllers for navigating an autonomous robot in a two-dimensional environment. The...
Evolutionary ensembles with negative correlation learning (2000)
Yong Liu, Xin Yao, Tetsuya Higuchi
Based on negative correlation learning and evolutionary learning, this paper presents evolutionary ensembles with negative correlation learning (EENCL) to address the issues of automatic...
Yoshida, Tsutomu, Higuchi, Tetsuya, Hagiyama, Hiroyuki, Strasser, Andreas, Nishioka, Kiyoshi, Tsubata, Takeshi
Antigen receptor ligation-induced apoptosis is thought to play a role in self-tolerance by deleting autoreactive lymphocytes. Antigen receptor ligation-induced apoptosis of mature T cells and T cell...
The GRD Chip: Genetic reconfiguration of DSPs for Neural Network Processing (1999)
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Xin Yao, Senior Member, Nobuki Kajihara, ...
AbstractÐThis paper describes the GRD (Genetic Reconfiguration of DSPs) chip, which is evolvable hardware designed for neural network applications. The GRD chip is a building block for the...
Masaya Iwata, Takio Kurita, Tetsuya Higuchi
Abstract. This paper describes a data compression system using Evolvable Hardware (EHW) for digital color electrophotographic (EP) printers. EP printing is an important technology within digital...
Evolvable hardware chip for high precision printer image compression (1998)
Hidenori Sakanashi, Mehrdad Salami, Masaya Iwata, Shogo Nakaya, Tsukasa Yamauchi, Takeshi Inuo, ...
This paper describes a data compression chip for the high-precision electrophotographic printer using Evolvable Hardware (EHW). EHW is a new hardware paradigm which combines Genetic Algorithm (GA)...
Robot Learning using Gate-Level Evolvable Hardware (1998)
Didier Keymeulen, Kenji Konaka, Masaya Iwata, Yasuo Kuniyoshi, Tetsuya Higuchi
. Recently there has been a great interest in the design and study of evolvable and autonomous systems in order to control the behavior of physically embedded systems such as a mobile robot. This...
Didier Keymeulen, Masaya Iwata, Kenji Konaka, Ryouhei Suzuki, Yasuo Kuniyoshi, Tetsuya Higuchi
Recently there has been great interest in the idea that evolvable systems based on the principles of Artificial Life can be used to continuously and autonomously adapt the behavior of physically...
In Christoph Adami, Richard K. Belew, Hiroaki Kitano, Charles E. Taylor, Artificial Life Vi, Didier Keymeulen, ...
Recently there has been great interest in the idea that evolvable systems based on the principles of Artificial Life can be used to continuously and autonomously adapt the behavior of physically...
Evolvable Hardware for Generalized Neural Networks (1997)
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Tetsuya Higuchi
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scalable neural network...
Off-line Evolution for a Robot Navigation System based on a Gate-Level Evolvable Hardware (1997)
Didier Keymeulen, Kenji Konaka, Masaya Iwata, Yasuo Kuniyoshi, Tetsuya Higuchi
Recently there has been a great interest in the design and study of evolvable systems based on Artificial Life principles in order to control the behavior of physically embedded systems such as a...
An Evolutionary Robot Navigation System using a Gate-Level Evolvable Hardware (1996)
Didier Keymeulen, Marc Durantez, Kenji Konaka, Yasuo Kuniyoshi, Tetsuya Higuchi
. Recently there has been a great interest in the design and study of evolvable systems based on Artificial Life principles in order to control the behavior of physically embedded systems such as a...
Promises and Challenges of Evolvable Hardware (1996)
. Evolvable hardware (EHW) has attracted increasing attentions since early 1990's with the advent of easily reconfigurable hardware such as field programmable gate array (FPGA). It promises to...
Real-Time Spoken Language Translation Using Associative Processors (1994)
Kozo Oi, Eiichiro Sumita, Osamu Furuse, Hitoshi Iida, Tetsuya Higuchi
This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation re-quires (1) an accurate translation and (2) a real-time...
Evolvable Hardware with Genetic Learning (1994)
Tetsuya Higuchi, Umezono Tsukuba Ibaraki
This paper reports on the ongoing EHW-research project. 2 Evolvable Hardware Architecture
Massively Parallel Memory-Based Parsing (1991)
Hiroaki Kitano, Tetsuya Higuchi
This paper discusses a radically new scheme of natural language processing called massively parallel memorybased parsing. Most parsing schemes are rule-based or principle-based which involves...
Evolvable Hardware Cchips for Industrial Applications (0000)
Evolvable hardware (EHW) is based on the idea of combining reconfigurable hardware devices with genetic algorithms to execute reconfiguration autonomously. Field-programmable gate array (FPGA) and...
Real-Time Spoken Language Translation Using Associative Processors
Kozo Oi, Eiichiro Sumita, Osamu Furuse, Hitoshi Iida, Tetsuya Higuchi
Evolvable Hardware Cchips for Industrial Applications
Evolvable hardware (EHW) is based on the idea of combining reconfigurable hardware devices with genetic algorithms to execute reconfiguration autonomously. Field-programmable gate array (FPGA) and...