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In this study, an intelligent predictor is designed for predicting the direction of dinghy booms and coaching dinghy sailing using the designed predictor with information obtained from multiple sensors attached to the dinghy and the sailor. For this purpose, we designed a Takagi-Sugeno-Kang-based linguistic model with interval prediction based on fuzzy granulation, which can be realized by using a...
This paper presents a performance comparison of pedestrian detection using faster RCNN and ACF. RCNN finds independently candidate areas for detectable object and extracts feature vector of CNN from each regional image. These images are classified by class-specific linear SVMs. ACF computes several channels from one image and gets a low resolution channel by integrating them into smoothed one. Each...
This paper is concerned with a method for designing improved Linguistic Model (LM) using Conditional Fuzzy Clustering (CFC) with two different Interval Type-2 (IT2) fuzzy approaches. The fuzzification factor and contexts with IT2 fuzzy approach are used to deal with uncertainty of clustering. This proposed clustering technique has characteristics that estimate the prototypes by preserving the homogeneity...
The horse riding was sports and used to move for long distance as a mean of transportation only for the rich in the past. It is still far from the middle class to ride a horse because managing a horse is very expensive and needs many cares. It is impossible that common person ride a horse. And a horse is big and weighty compared with a human so real horse riding can make us hurt from unexpected movement...
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