A Novel Algorithm For Radar Target Feature Extraction

Due to the aspect sensitivity of High Resolution Range Profile (HRRP), traditional radar target recognition methods usually use average HRRP within some aspect region. Actually, the amplitude fluctuation property of HRRPs also represents some feature information of target.According to the scattering center model, a new feature extraction method using the amplitude fluctuation property of HRRPs is proposed in this paper. The new algorithm mainly extracts the features of the effective distance unit according to the distribution of the target scattering points to improve the recognition efficiency.The experimental results based on the SVM classifier show that the novel feature extraction method can improve recognition performances greatly .

Digital Design Method of Dyeing Patterns Based on Kansei

Dyeing involves fixing a dye on a cloth, or creating a dyeing pattern. Because dyeing patterns depend on the physical properties of fibers, dyes, and dyeing technique that are employed, predicting a finished dyeing pattern is difficult even for artisans. Because dyeing is an irreversible phenomenon that requires a lot of time, to accurately predict a completed pattern would improve the efficiency of dyeing and reduce its costs. In this paper, we propose a digital method for designing dyeing patterns based on a simulation of the dyeing process. Dyeing experiments was conducted to model dyeing process accurately. From experiments, we defined the dyeing process is combination of two phenomena: capillary phenomenon and diffusion phenomenon. In the proposed method, integrated these two phenomena by using the cellular automaton method and generate dyeing patterns that produce different results depending on the pattern-generating parameters. The thickness of yarn and spaces between yarns in fabric is not uniform because of the influence of spinning and weaving. Therefore, in the proposed method, we use the fluctuation property, which is inherent in nature, to generate a dyeing pattern that preserves a natural impression. Based on the simulation of the proposed dyeing process, we developed a system that generates patterns based on KANSEI. Associating KANSEI with pattern generation parameters produces dyeing patterns that exhibit the required impressions (KANSEI) for the generated dyeing patterns. Based on this development method, we constructed a basic system for pattern generation and verified the effectiveness of the method.

Shape Design Using 1/F Fluctuation Characteristics

An attempt has been made to develop a method of introducing 1/f fluctuation characteristics into aesthetic objects. First, topographic features of various tea bowls are measured using laser metrology, and their wave patterns are analyzed by the FFT and characterized by using power spectrums. The quantification of an affective factor involved on the outer surface of the tea bowls shows that the handmade tea bowls have an inclination close to −1 on the spatial frequency-power spectrum diagram, which means that it has 1/f fluctuation characteristics. A mass-produced one, on the other hand, tends to have an inclination of near −2, which gives us a monotonous or dull impression. Next, the 1/f fluctuation property is applied to shape design, in which the surface of a tea bowl is created using the measured texture. Rapid prototyping technology is employed to substantiate the model, and it has been confirmed that the accuracy of duplicates is satisfactory. Finally, a mathematical model with 1/f fluctuation characteristics is illustrated to mimic a real handmade tea bowl by using the proposed method.