The boundaries of the set feasible bilinear solutions for three-component systems have been estimated in presence noise, as a sequel previous report on two-component data sets. Simulations involving significant degree overlap among component profiles both matrix modes analyzed using FACPACK and recently described sensor-wise N-BANDS model. latter computes upper lower envelopes showing maximum m...

We describe an experimental, knowledge-based, virtual-world system that uses a monocular "see-through" head-mounted display to overlay graphics on the user's view of the real world. In a simple equipment maintenance domain that we have developed, the overlaid graphics include 3D representations of actual physical objects, textual annotations and callouts, and virtual metaobjects, such as arrows...

Linear membrane-based gas sensors that can be advantageously applied for the measurement of a single gas component in large heterogeneous systems, e.g., for representative determination of CO₂ in the subsurface, can be designed depending on the properties of the observation object. A resulting disadvantage is that the permeation-based sensor response depends on operating conditions, the individ...

This article’s model based diagnostics system has four modules. Diagnosis and fault location forms physics models of the machine, measures states off the real in-service machine, generates simulated machine states and simulated sensor outputs for the machine model with loads same as the real machine, and compares simulated sensor outputs to real sensor outputs. The parameter tuning module adjus...

Wireless Sensor network (WSN) is an emerging technology and has great potential to be employed in critical situations. The development of wireless sensor networks was originally motivated by military applications like battlefield surveillance. However, Wireless Sensor Networks are also used in many areas such as Industrial, Civilian, Health, Habitat Monitoring, Environmental, Military, Home and...

In this paper two common methods for nonlinear principal component analysis are compared. These two methods are Auto-associative Neural Network (AANN) and Kernel PCA (KPCA). The performance of these methods in sensor data validation are discussed, finally a methodology which takes advantage of both of these methods is presented. The result is a unique approach to nonlinear component mapping of ...

VAV system is a very complicated one in airconditionging systems, thus automatic control become the key of such a system. As necessary components in automatic control system, sensor has failure risk. It is so expensive that detect sensor fault by hardware redundancy in comfortable air-conditioning system. This paper presents an approach, Principal Component Analysis (PCA), to detect and identif...

coverage improvement is one of the main problems in wireless sensor networks. given a finite number of sensors, improvement of the sensor deployment will provide sufficient sensor coverage and save cost of sensors for locating in grid points. for achieving good coverage, the sensors should be placed in adequate places. this paper uses the genetic and learning automata as intelligent methods for...

‘STET model’ is a framework for realistic surveillance setup in which multi-target multi-sensor scenario can be modeled for surveillance applications. The components of STET model framework are Sensor (S), Targets (T), Environment (E) and Terrain (T). The set of characters relevant to surveillance operation of the sensor is captured in Sensor modeling. In target modeling, the characteristics of...