Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Katsuhiko Seo is active.

Publication


Featured researches published by Katsuhiko Seo.


asia and south pacific design automation conference | 1998

A top-down hardware/software co-simulation method for embedded systems based upon a component logical bus architecture

Mitsuhiro Yasuda; Katsuhiko Seo; Hisao Koizumi; Barry Shackleford; Fumio Suzuki

We propose a top-down hardware/software co-simulation method for embedded systems and introduce a component logical bus architecture as an interface between software components and hardware components. Co-simulation using a component logical bus architecture is possible in the same environment from the stage at which the processor is not yet determined to the stage at which the processor is modeled in register transfer language. A model whose design is based on a component logical bus architecture is replaceable and reusable. By combining such replaceable models, it is possible to quickly realize seamless co-simulation. We further describe experimental results of our approach.


Hardware implementation of intelligent systems | 2001

High-performance hardware design and implementation of genetic algorithms

Barry Shackleford; Etsuko Okushi; Mitsuhiro Yasuda; Hisao Koizumi; Katsuhiko Seo; Takahashi Iwamoto; Hiroto Yasuura

In this chapter, we present a survival-based, steady-state GA designed for efficient implementation in hardware and the design of a pipelined genetic algorithm processor that can generate one new, evaluated chromosome per machine cycle. High performance is obtained by implementing the functions of parent selection, crossover, mutation, evaluation, and survival in hardware in such a manner that each function can be executed in a single machine cycle. When these hardware functions are connected in a linear pipeline (much the same as an assembly line), the net result is the generation a new child chromosome on each machine cycle. The key features of the survival-based, steady-state GA are low selection pressure due to random parent selection, steady-state population maintenance, and replacement of randomly discovered, lesser-fit chromosomes by more-fit offspring. A GA machine prototype is also presented, running at 1 MHz and generating one million new chromosomes per second.


asia and south pacific design automation conference | 1997

A rapid prototyping method for top-down design of system-on-chip devices using LPGAs

Fumio Suzuki; Hisao Koizumi; Katsuhiko Seo; Hiroto Yasuura; Masanobu Hiramine; Kazuo Okino; Zvi Or-Bach

This paper proposes two methods for a rapid prototyping of top-down system-on-chip (SOC) design using laser programmable gate arrays (LPGAs). The first one is a design flow of SOC consisting of four steps: concept-making, virtual-world prototyping, synthesis, and real-world prototyping. The steps can be undertaken individually or in tandem and provisional product models are transformed from upper stream (concept-making) to lower stream (synthesis) either automatically or semi-automatically. This method differs from ordinary rapid prototyping methods in that design evaluation is shifted more upper stream. The SOC device is manufactured early; the steps follow concept-making, virtual-world prototyping, synthesis and real-world prototyping (in the ordinary case, from real-world prototyping to synthesis). This method allows the device to be evaluated in the actual operating environment. The second method we propose is based on LPGAs and use of a real-time production fabrication system (RPFS). With these design methods and environment, we can get a shortest time to market which offers exciting audio and video capabilities while giving designers the flexibility they need to rapidly produce innovative and creative products. This paper describes the application of these methods to develop video signal processors for LCD projectors, demonstrating their efficiency for design tuning and performance optimization.


Archive | 2000

An FPGA-Based Genetic Algorithm Machine

Barry Shackleford; Etsuko Okushi; Mitsuhiro Yasuda; Hisao Koizumi; Katsuhiko Seo; Takashi Iwamoto; Hiroto Yasuura


IEICE Transactions on Electronics | 1997

Hardware Framework for Accelerating the Execution Speed of a Genetic Algorithm (Special Issue on New Concept Device and Novel Architecture LSIs)

Barry Shackleford; Etsuko Okushi; Mitsuhiro Yasuda; Hisao Koizumi; Katsuhiko Seo; Takashi Iwamoto


IEICE Transactions on Information and Systems | 1995

A Proposal for a Co-design Method in Control Systems Using Combination of Models

Hisao Koizumi; Katsuhiko Seo; Fumio Suzuki; Yoshisuke Ohtsuru; Hiroto Yasuura


field programmable gate arrays | 2000

An FPGA-based genetic algorithm machine (poster abstract)

Barry Shackleford; Etsuko Okushi; Mitsuhiro Yasuda; Hisao Koizumi; Katsuhiko Seo; Takashi Iwamoto; Hiroto Yasuura


Ieej Transactions on Electronics, Information and Systems | 2011

Real-time Kernel Implementation Practice Program for Embedded Software Engineers' Education and its Evaluation

Toshio Yoshida; Masahide Matsumoto; Katsuhiko Seo; Shinichiro Chino; Eiji Sugino; Jun Sawamoto; Hisao Koizumi


Journal of Jsee | 2018

An Education Program on Sensor Technologies in IoT

Shoichi Okazaki; Nobuhiro Ooe; Masahiro Inoue; Tsuyoshi Nakajima; Tetsuo Shiotsuki; Hidetoshi Kambe; Hiroyasu Mitsui; Katsuhiko Seo


Ieej Transactions on Electronics, Information and Systems | 2014

A Communication Method between M2M Devices based on SIP Functions and its Experimental Evaluation

Shoichi Okazaki; Toru Watanabe; Shinji Kitagami; Katsuhiko Seo; Hisao Koizumi

Collaboration


Dive into the Katsuhiko Seo's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yu Endo

Tokyo Denki University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Eiji Sugino

Iwate Prefectural University

View shared research outputs
Researchain Logo
Decentralizing Knowledge