[in Japanese]

View full abstract

Purpose of this study is to develop a method for accurate capillary area extraction from a captured image using RGB and HSV features. Experiments were conducted with eleven subjects. The proposed method utilizing OpenCV platform produced clearer capillary images compared to the original images: with capillary information, without capillary information, images with halation, images with black dots. SVM classification of capillary image with acquired numeric features of G, H, S and V values yielded over 90 % accuracy. The results have shown the effectiveness of the proposed method.

View full abstract

[in Japanese]

View full abstract

In this paper, the experiments were conducted to measure effect of music on brain waves and emotions with a simple brain sensor. 10 male university students participated in the experiments. They listened to four types of music (Comfortable music 1 and 2, Uncomfortable music 1 and 2). were used. Paired t-test on T-scores of POMS for each sound source before and after listening to the source showed a significant difference. The electroencephalography (EEG) was calculated and analyzed through signal averaging and FFT to compare component rates of δ, Θ, α and B waves. The results showed the Comfortable sounds tend to increase positive feelings. The value of Wave δ +θ+ α was high for Comfortable sound 1 (Wave δ + θ + α: Wave β = 63.7: 36.2) and Comfortable sound 2 (Wave δ + θ + α: Wave β = 61.2: 38.7).

View full abstract

[in Japanese]

View full abstract

[in Japanese]

View full abstract

[in Japanese]

View full abstract

[in Japanese]

View full abstract

The productmeter is a tool used to measure the volume change in gas while maintaining a fixed concentration of gas in a container, which in turn, compresses the sample. In this study, we used an improved and more complex productmeter than previously designed for research and education. We performed measurements of daytime photosynthesis in Ulva pertusa using the productmeter in order to examine its potential use as a teaching tool in university programs (higher education) and to study environmental maintenance, reproduction, and creation in coastal areas. By performing continuous measurements during algal cultivation using a productmeter, we aimed to obtain data on time, and discover applications suitable for biological experiments in teacher training courses using long-term continuous measurements, as well as for use in research experiments. We conducted measurements at 30 °C on the 1st day, 25 °C the 2nd day, 20 °C the 3rd day, and 15 °C on the 4th day, in order to determine the optimum water temperature. These measurements also revealed that the level of photosynthesis at different temperatures, with the greatest rates measured at 30 °C and the lowest at 15 °C.

View full abstract

In this study, experiments on milk sales estimation were conducted in two phases to optimize stock ordering. Sales data of two brands of milk between 2007 and 2008 were obtained through 9 stores in Ishikawa Prefecture. In the first phase, several variable reduction methods were investigated to prevent overfitting of prediction models using methods of the Principal Component Analysis and Decision Tree. In the second phase, the estimation experiments were conducted by using learning data generated through the variable reduction methods. Neural network, k-NN algorithm and RBF network were used for prediction models. The results showed k-NN algorithm with original non-reduced variables and neural network with cumulative contribution rate of 90% yielded higher accuracy in sales estimation.

View full abstract

[in Japanese]

View full abstract