34 research outputs found
Poverty Dynamics and Poverty Reduction in Ethnic-minority Areas of Northwest China
No full textTohoku University博士（農学）博士学位論文 (Thesis(doctor))doctoral thesi
Similar Image Retrieval Using Color Histogram in HSV Space and SIFT Descriptor with FLANN
No full textA three-dimensional model of non-slipping stress corrosion cracking under low loads
No full textAbstractStress corrosion cracking (SCC) of 316L single-crystal austenitic stainless steel subjected to low loads (σnom = 20-40 MPa) in a 45 % boiling MgCl2 solution was studied using synchrotron X-ray computed tomography, finite element analysis and so on. Results show that there was no surface slip band around the nucleation sites and the tips of short cracks. Three-dimensional reconstruction of discontinuous zig-zag surface SCC crack indicates that the crack was continuous inside the specimen. The obtaining through two-surface trace analysis manifests, rather than {1 1 1} slip planes, the cracks extended along {1 0 0} planes with the lowest surface energy. It is considered that microcleavage and local dissolution synergistically led to the SCC advance, and microshear was also one of the primarily microscopic SCC mechanisms under the high load. The three-dimensional SCC model was created at the low stress level, where a main SCC crack grew along the MPD due to anodic dissolution, and a microdefect was formed on the crack front. When the microdefect enlarged to a critical size, secondary microcracks nucleated at the stress-concentrated microdefect shoulders. Then, the microcracks propagated to two sides of the MPD through anodic dissolution, microcleavage or mciroshear, resulting in the formation of the river-like fractography and the discontinuous surface SCC cracks with or without surface slipping
Design of Improved Fuzzy PID Controller Based on the Temperature Control System of Large Inertia and Time Delay
No full textA study of the impact of the COVID-19 pandemic on the food purchasing behavior of residents in Hubei, China
No full textSoluble dietary fibers from black soybean hulls: Physical and enzymatic modification, structure, physical properties, and cholesterol binding capacity
No full textA study of the impact of the COVID-19 pandemic on the food purchasing behavior of residents in Hubei, China
No full text紀要類（bulletin）departmental bulletin pape
Sequential Monte Carlo-guided ensemble tracking.
No full textA great deal of robustness is allowed when visual tracking is considered as a classification problem. This paper combines a finite number of weak classifiers in a SMC framework as a strong classifier. The time-varying ensemble parameters (confidence of weak classifiers) are regarded as sequential arriving states and their posterior distribution is estimated in a Bayesian manner. Therefore, both the adaptiveness and stability are kept for the ensemble classification in handling scene changes and target deformation. Moreover, to increase the tracking accuracy, weak classifiers including Support Vector Machine (SVM) and Large Margin Distribution Machine (LDM) are combined as a hybrid strong one, with adaptiveness to the sample scales. Comprehensive experiments are performed on benchmark videos with various tracking challenges, and the proposed method is demonstrated to be better than or comparable to the state-of-the-art trackers
