In the first report, we have proposed a quantitative evaluation system for attentional deficit using a personal computer. However with the experiments, we noticed the various problems on the system. For example, the former system required too much time to carry out the entire task. For this reason, the concentration of the subjects showed decline with time. Therefore, in this paper, we report on the some improvements of the system and in addition on a new measurement method of hemianopsia influence.
The present paper deals with possible construction methods of three-dimensional shapes based on the nesting behavior of wasps. Wasps can construct combs of hexagonal cells with a regular arrangement. This paper describes observation and analysis of such nesting behavior. Observation results show that characteristic movements of antennae are probably used in determining how to shape the nest and that nesting behavior is connected with so called“taxis.”Computer simulation was conducted to ascertain rule that can trace basic shapes. Moving rules of the creature were represented by means of neural networks. An optimal rule for tracing was determined by genetic algorithms that are known to be effective optimization and searching algorithms. Analysis of the optimal rule is described. Analysis shows that the rule that was obtained as the result of genetic operations is connected with“taxis.”
In Intensive Care Units (ICU), clinical staffs observe and treat many patients. They need a computer system to treat slightly status patients automatically, so they can concentrate on more critical status patients themselves. There is no that computer system that is been used in many hospitals, because such computer treatment system is like a black box for clinical staffs. It is necessary to develop a computer treatment system that is simple, useful and understandable for clinical staffs. The regulation of water balance between total fluid infusion volume and urinary volume is an important factor in stabilizing the patient condition in ICU. We have developed a fluid control system using a computer. This system controls fluid volume with confirmation of clinical staffs. The fluid infusion rate is calculated minute by minute based upon the patient's water balance and urinary volume. The calculation algorithm is based upon the same technique as a skillful clinical staffs'. And the expectation algorithm of urinary volume with the fuzzy reasoning approach is included in this algorithm. This system is applied to clinical cases. It is available for clinical staffs to treat patients.