Koichi Ikuta

Write Strategy Optimization Method with Two-Step Search for Blu-ray Disc Recording

A new write strategy (WS) optimization method with a two-step search process for Blu-ray Disc (BD) recording is developed to shorten the optimization time. This method is realized by the WS optimization system, which is constructed with an optical pickup, a disc tester, and the WS optimization algorithm. The optimization is executed according to the two-step search process along the mathematical axis, which is experimentally derived from the sample WS parameters. As the experimental result, the optimization time is reduced by nearly two-thirds from that achieved using the conventional method performed by the experts. All the jitter values of the playback signal derived from the recorded marks are smaller than the 7% target value and the effectiveness of this new method is experimentally confirmed.

Real-Time Write Strategy Optimization Method for Optical Discs

An optimization method of the write strategy for optical discs to realize stable recording within the whole area of each optical disc is proposed. In this method, the write strategy is continuously optimized in the real-time base during the recording operation against the variation of recording characteristics in optical discs, in accordance with the recording position in the radial direction and environmental conditions. The optimization algorithm to select the suitable write strategy parameters to be optimized was established with reference to the database previously prepared. The effectiveness and lack of side effects in this method are experimentally confirmed using optical discs.

Human intruder detection with Leaky Coaxial cables for wide area surveillance system

We propose an algorithm to detect human intruders by means of Leaky Coaxial cables (LCX) for wide area surveillance systems. When a human intrudes into an area between two LCX, the radiated waves will suffer considerable changes with specific fluctuations. The former version of our detection algorithm had many false detections because the algorithm used only amplitudes of in-phase/quadrature-phase (I/Q) detector signals. To develop a sophisticated detection algorithm, we analyzes I/Q detector signals in detail and introduce some critical signal features appeared in I/Q detector signals to discriminate human intruders from background noises and other irrelevant objects. We successfully reduced many of the false detections compared to the performance of the former algorithm. In this paper we introduce our LCX-based surveillance system, and describe a human intruder detection algorithm based on I/Q detector signals with typical simulation results. Current problems and remaining tasks are also discussed.

Real-Time Optimization Method of Write Strategy for Optical Discs

Real-time write strategy optimization method for optical discs is proposed. Write strategy is continuously optimized during recording against the variation of recording characteristics and environments. Effectiveness is experimentally confirmed with BD and DVD discs.

VEHICLE DETECTION SYSTEM USING ARTIFICIAL RETINA CHIPS

The AR chip is a versatile CMOS image sensor, functions are not only normal image acquisition but also on-chip image processing. Such features can accelerate algorithms of image processing and the controls of proper image. We have developed the low-cost and compact vehicle detection system using he AR chips. The system is composed of a processing module and an AR camera module. The AR Camera module has dual artificial retina chips to cover the wide dynamic range of the outdoor brightness environment. The ND filter is coated on the lens of one of the chips, each AR chip covers different range of the brightness. The control algorithm of image acquisition is designed to select an adequate chip based on the image quality. The images of the selected chip are processed by on-chip functions for pre-processing and they are transferred to the processing module. Finally the processing module judges the existence of vehicles and detects several kinds of attributive information of the detected vehicle such as moving direction. In our paper, we describe details of the system and the algorithm and we show several result data through field experiments under the real road environment.