Respiratory volume monitoring (RVM) has been developed to noninvasively measure minute ventilation (V̇E), tidal volume, and breathing frequency and to display real-time respiratory curves in nonintubated patients. Although RVM was originally developed for post-anesthesia and monitored anesthesia care, we describe 3 applications for this monitor in an otherwise austere setting at a missionary hos...

Broadband power line communication based on an orthogonal frequency division multiplexing scheme is considered in this paper. In addition to multipath fading and frequency selectivity, the power line communication channel is influenced by impulsive noise. More bit errors in power line communications are caused by these effects. In this paper, a relevance vector machine (RVM) is applied to the r...

The rostral ventromedial medulla (RVM) is a major locus for the descending control of nociception and opioid analgesia. However, it is not clear how opioids affect synaptic inputs to RVM neurons. In this study, we determined the effect of μ opioid receptor activation on excitatory and inhibitory synaptic transmission in spi nally projecting RVM neurons. RVM neurons were retrogradely labeled wit...

This paper introduces the use of Relevance Vector Machines (RVMs) for content based image classification and compares it with the conventional Support Vector Machine (SVM) approach. Different wavelet kernels are included in the formulation of the RVM. We also propose a new wavelet based feature extraction method that extracts lesser number of features as compared to other wavelet based feature ...

Due to the dynamic changes of network data over time, static intrusion detection systems cannot adapt well behavioral characteristics input data, resulting in reduced accuracy. In addition, continuous streams will bring huge challenges resource storage and computing costs. Therefore, we propose an method ensemble incremental learning (DEIL-RVM), realize a dynamically adjusted model. which new o...

The rostral ventromedial medulla (RVM) projects to the medullary and spinal dorsal horns and is a major source of descending modulation of nociceptive transmission. Traditionally, neurons in the RVM are classified functionally as on, off, and neutral cells on the basis of responses to noxious cutaneous stimulation of the tail or hind paw. On cells facilitate nociceptive transmission, off cells ...

Human action recognition is a task of analyzing human action that occurs in a video. This paper investigates action recognition by using two classification techniques, namely Relevance Vector Machine (RVM) and Support Vector Machine (SVM). SVM is a technique for supervised classification that used in statistics and machine learning. By separating the distinct class with a maximum possible wide ...

Systemic administration of a cannabinoid agonist produces antinociception through the activation of pain modulating neurons in the rostral ventromedial medulla (RVM). The aim of the present study was to determine how a cannabinoid receptor agonist acting directly within the RVM affects neuronal activity to produce behaviorally measurable antinociception. In lightly anesthetized rats, two types ...