In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification and quality detection in this paper is presented based on model learning concepts includ...

There are now a vast array of heterogeneous cloud service resources, which makes it difficult to identify suitable services for the various types of cloud users. A classification of cloud service resources would help users find suitable cloud services more easily. We propose such a classification strategy, which has two parts. First, we improve the original naive Bayesian classification algorit...

A commonly used definition of spatial disorientation (SD) in aviation is “an erroneous sense one’s position and motion relative to the plane earth’s surface”. There exists a wide range SD use-cases dictated by situational factors, therefore has been predominantly studied using reduced detection experimental contexts isolation. The study use-case makes it difficult understand general occurrence ...

As one of the classification methods, the Relevance Vector Machine (RVM) can solve the problems of poor sparseness and lack of probability prediction factors in Support Vector Machine (SVM). To overcome the problem of experience-based parameters selection for RVM, a kind of RVM based on particle swarm optimization (PSO) is proposed, which includes the model parameter estimation, training and mo...

Nowadays, a great portion of researches research and industrial innovation is about the electric vehicles (EV) and also EV Supply Equipment (EVSE) that play an important role in this context. EVSE requires standardization via effective communication protocols. In this paper, we propose to customize the existing Internet standard Routing Protocol for Low Power and Lossy Networks (RPL) to facilit...