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Monitoring of the activities of daily living of the elderly at home is widely recognized as useful for detection of new or deteriorated health conditions. However, the accuracy of existing indoor location tracking systems remains unsatisfactory. The aim of this study was therefore to develop a localization system that can identify a patient's real-time location in a home environment with maximum estimation...
Sensors and their observations are used in almost all pervasive applications to configure and adjust the behavior of applications to the user's need. However, the quality of those sensor observations are influenced by different factors including the physical or chemical principle of measurement, the internal processing of the sensing device, and the prevailing environmental conditions at the time...
Surface Plasmon Resonance has been developed into a widely-used methodology for various biosensing applications. For the most popular angular-interrogation SPR system, a convergent light beam and a photo diode array are used, where the photo diode array with a large amount of pixels is necessary for high performance, and unavoidable trivial vibration between sensing unit and photo diode array will...
This paper investigates on the development and implementation of a high integrity navigation system based on the combined use of the Global Positioning System (GPS) and an inertial measurement unit (IMU) for land vehicle applications. The complementary properties of the GPS and the INS have motivated several works dealing with their fusion by using a Kalman Filter. The conventional kalman filter has...
This paper describes a methodology for incorporating human observations into a hard+soft information fusion process for counterinsurgency intelligence analysis. The goal of incorporating human observations into the information fusion process is important as it extends the ability of the fusion algorithms to associate and merge disparate pieces of information by allowing for information collected from...
In this paper, distributed data fusion for satellite passive localization is examined. The traditional single or multiple satellite passive localization systems usually use a fixed localization mode which commonly has poor fault tolerance capability. We investigate a distributed passive localization scheme using angle only measurements from multiple satellites. However, recursive fusion algorithms...
Accurate measurements of athletes' stride parameters, such as stride/step length, stride/step frequency, stance times and foot contact times are important to coaching support and biomechanics research in sprinting. Existing stride parameter monitoring approaches are either expensive, or insufficiently accurate, or not suitable for supporting daily training sessions. This paper investigates the use...
Cooperative navigation for multi-UUV is localizing all members of a team of UUVs by proprioceptive and exteroceptive sensors through acoustic link among UUVs. In the Leader-Fellow structure, the master UUV is equipped with high accuracy sensors, the slave UUV is equipped with low precision sensors added with underwater sonar which provide relative observations between UUVs. The slaver gets the position...
For the sampling frequency is different between the quality indexes and the auxiliary variables in the soft sensing training patterns, a new neural network soft sensing method based on the multi-resolution data fusion is presented in the paper. In the presented method, the neural network is trained based on the quality indexes and auxiliary variables with low sampling frequency first and the high...
To merge high spatial resolution sea surface temperature (SST) in East-China Sea from multi-satellite sensors SST products, SST products from MTSAT, AVHRR, AMSR-E, MODIS and TMI in one year of 2008 were applied to analyze their availabilities and accuracies in East-China Sea. The annual-mean SST availabilities of AVHRR, AMSR-E, MODIS, TMI, and MTSAT are 22%, 33%, 40%, 56% and 61%, respectively. Compared...
Principle of averaging-error effect can partly eliminate the division errors, the more sensors are used, the higher accuracy will be gained, but in some cases, it is not always right. In this paper, equally dividing the special route circle was studied and some results were obtained: the number of sensors equals to the number of divisions, the equally dividing and positioning accuracy will be the...
In this paper, distributed fusion filtering problem in multisensory dynamic system is considered. The approximation scheme for calculation of cross-covariances is presented, which are based on a correlation coefficient in steady-state. In addition, a new limiting cross-covariance method is also proposed, which gives the opportunity to save calculation times, and is computationally useful to implement...
In a sensor-aided cognitive radio network, collaborating battery-powered sensors are deployed to aid the network in cooperative spectrum sensing. These sensors consume energy for spectrum sensing and therefore deplete their life-time, thus we study the key issue in minimizing the sensing energy consumed by such group of collaborating sensors. The IEEE P802.22 standard specifies spectrum sensing accuracy...
Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations...
The neural network based method of individual conversion characteristic identification of multisensor using reduced number of its calibration/testing results is proposed in this paper. The proposed method is based on reconstruction of surface points of multisensor conversion characteristic by modular neural network. Each neural network module reconstructs separate point of the surface. The simulation...
In order to improve the accuracy, Dempster-Shafer theory can be applied to the fault diagnosis of rotating machinery. However, the significance level of evidences is different actually when using evidence theory to fuse multi-symptom domains during fault diagnosis of rotating machinery. This paper presents evidence entropy to estimate significance level of evidence, i.e. the weight of evidences. Then,...
Aiming at the increasingly serious pipeline damages because of the artificial factors, we investigate the characteristic of seismic signals and develop a monitoring and pre-warning system for security of pipelines based on multi-seismic sensors. There were many sensors and processing modules to acquire the seismic signals generated by the ground targets. The non-stationary signal analysis method based...
This paper examines the concept of replacing a few expensive high-accuracy radio direction-finding (DF) sensors operating in a stand-off baseline with many low-accuracy DF sensors deployed on existing military vehicles located throughout an area of interest. A formula is presented to estimate the geolocation accuracy that could be achieved for a given number of sensors with a specified DF accuracy...
We propose the information fusion of visible and infrared images for a pedestrian-vehicle SVM-based classification. Different types of fusion methods are presented: data fusion, feature fusion, matching score fusion and decision fusion. Data - level fusion assumes that the raw information is combined at the pixel level. The fusion at the feature level produces a feature vector integrating both visual...
For effectively improving the accuracy of tracking a maneuvering target by passive sensors, a novel passive multi-sensor maneuvering target tracking algorithm based on unscented Kalman filter-interacting multiple model (UKF-IMM) is proposed. In this algorithm UKF is used by all models. UKF can avoid linearization of the highly nonlinear equations, and achieve accuracy at least to the second order...
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