Kernel learning is the problem of determining the best kernel (either from a dictionary of fixed kernels, or from a smooth space of kernel representations) for a given task. In this paper, we describe a new approach to kernel learning that establishes connections between the Fourier-analytic representation of kernels arising out of Bochner’s theorem and a specific kind of feed-forward network u...

In this study, we model and analyze an wireless sensor network. First, we develop an analytic model for the homogeneous network where all nodes in the network have the same traffic characteristic. For our model, we assume a sensor network with star topology which is operated using the IEEE 802.15.4 MAC protocol with ACK mode. From our analytical model we derive performance metrics such as throu...

In this paper, we propose an analytic model to analyze a wireless sensor network (WSN) operating the IEEE 802.15.4 slotted CSMA/CA protocol with ACK mode. Based on the renewal approximation, we first develop an analytic model for a homogeneous WSN where all nodes in the network have the same traffic characteristic. Using our analytical model, we obtain performance metrics such as network throug...

The main purpose of this paper is to present a fuzzy multi-criteria decision making (FMADM) model for appropriate location selection of a health center. Therefore, we identify sixteen criteria and sub-criteria for selecting a health center location. These criteria and sub-criteria have been obtained from literature reviews and practical interviews. This paper proposes a method which combines th...