Mobile phone location activities have been intensified recently. This work will examine the possibility of combining the Neural Network (NN) positioning and the database correlation (DC) localization system in order to realize a robust RSS based positioning system within a GSM network context. The NN is trained first offline before it use in the positioning unit. Function approximation and clas...

Progenitor-B cells recombine their immunoglobulin (Ig) loci to create unique antigen receptors. Despite a common recombination machinery, the Ig heavy and Ig light chain loci rearrange in a stepwise manner. We studied pre-pro-B cells and Rag(-/-) progenitor-B cells to determine whether Ig locus contraction or nuclear positioning is decisive for stepwise rearrangements. We found that both Ig loc...

This study investigated the abilities of pre-processing, feature selection and machine-learning methods for the spectroscopic diagnosis of soil arsenic contamination. The spectral data were pre-processed by using Savitzky-Golay smoothing, first and second derivatives, multiplicative scatter correction, standard normal variate, and mean centering. Principle component analysis (PCA) and the RELIE...

This paper describes a Positioning algorithm that uses the signal strength, RSS, received by a Wireless Local Area Network, to determine user's static and dynamic position. The system improves the positioning accuracy by mitigating multi-path and noise, through an empirical analysis of environment and a prepost cursor mitigator. Most of the systems present in the state of art provide a solution...

As real-time interactive applications start embracing the service-oriented paradigm, it becomes increasingly important to locate services by proximity. One way to implement this is via network latency estimation using approaches such as network positioning. In this paper, we propose simple and practical strategies to improve the trustworthiness of network positioning schemes. In particular, our...

A critical problem in mobile ad-hoc wireless sensor networks is each node’s awareness of its position relative to the network. This problem is known as localization. In this paper, we introduce a variant of this problem, directional localization, where each node must be aware of both its position and orientation relative to its neighbors. Directional localization is relevant for applications th...

Over the past couple of decades, Global positioning system (GPS) technology has been utilized to collect large-scale data from travel surveys. As the precise spatiotemporal characteristics of travel could be provided by GPS devices, the issues of traditional travel survey, such as misreporting and non-response, could be addressed. Considering the defects of dedicated GPS devices (e.g., need muc...

In recent years, indoor positioning has emerged as a critical function in many end-user applications; including military, civilian, disaster relief and peacekeeping missions. In comparison with outdoor environments, sensing location information in indoor environments requires a higher precision and is a more challenging task in part because various objects reflect and disperse signals. Ultra Wi...

In this paper we improve a surface-based patient positioning method. The method describes a system for automatic positioning of patients using time-of-flight cameras in radiotherapy. To improve the registration result three new preprocessing steps (bilateral filtering, temporal averaging, variance filtering) are introduced to the processing pipeline. Furthermore, the accuracy of the surface mat...