scholarly journals System Design for Passive Human Detection Using Principal Components of the Signal Strength Space

2012 ◽  
Author(s):  
Bojan Mrazovac ◽  
Milan Z. Bjelica ◽  
Dragan Kukolj ◽  
Sasa Vukosavljev ◽  
Branislav M. Todorovic
Keyword(s):  
System Design ◽  
Principal Components ◽  
Signal Strength ◽  
Human Detection

scholarly journals System design for passive human detection using principal components of the signal strength space

2013 ◽  
Vol 10 (1) ◽  
pp. 423-452 ◽  
Author(s):  
Bojan Mrazovac ◽  
Milan Bjelica ◽  
Dragan Kukolj ◽  
Branislav Todorovic ◽  
Sasa Vukosavljev
Keyword(s):  
Principal Components ◽  
Detection Method ◽  
Power Saving ◽  
Signal Strength ◽  
Human Detection ◽  
Detection Accuracy ◽  
Human Presence ◽  
Development Costs ◽  
Human Presence Detection ◽  
Radio Signals

In this article, device-free human presence detection method based on principal components analysis of the radio signal strength variations is proposed. The method increases user awareness for automated power management interaction in residential power saving systems. Motivation comes from a need for decreasing the installation complexity and development costs induced by the integration of specific human presence detection sensors. The method exploits the fact that a human body interferes with radio signals by introducing irregularities in the radio signature which indicate possible human presence. By analyzing radio signals between radio transceivers embedded in 2.4 GHz wireless power outlets, the original environment is not visually modified and a certain level of sensorial intelligence is introduced without additional sensors. The analysis of the signal strength variations in principal components space enhances the detection accuracy level of human presence detection method, retaining low installation costs and improving overall energy conservation.

Design of Automation Calibration for RF Unit of Wireless Transceiver System

2013 ◽  
Vol 441 ◽  
pp. 955-958
Author(s):  
Bin Wen Huang ◽  
Yuan Jiao
Keyword(s):  
Radio Frequency ◽  
System Design ◽  
Signal Strength ◽  
Receive Signal ◽  
The Other ◽  
Receive Signal Strength ◽  
Receive Signal Strength Indicator ◽  
Productivity Effect ◽  
Wireless Transceiver

Calibration of radio frequency (RF) unit is a must during researching and manufacturing of wireless transceiver system. Automation calibration plays an important role in promoting productivity effect. This paper focuses on the design of automation calibration of RF unit in wireless transceiver system. Design of automation calibration is separated by two parts, one is transmission (Tx) power calibration, the other is receive signal strength indicator (RSSI) calibration.

Structuring Assessments of Psychopathology

2006 ◽  
Vol 27 (2) ◽  
pp. 87-92 ◽  
Author(s):  
Willem K.B. Hofstee ◽  
Dick P.H. Barelds ◽  
Jos M.F. Ten Berge
Keyword(s):  
Principal Components ◽  
Personality Assessment ◽  
Clinical Sample ◽  
Principal Component ◽  
Normal Sample ◽  
Normative Sample ◽  
Assessment Data ◽  
Obsessive Compulsive ◽  
Oblique Rotation ◽  
Two Samples

Hofstee and Ten Berge (2004a) have proposed a new look at personality assessment data, based on a bipolar proportional (-1, .. . 0, .. . +1) scale, a corresponding coefficient of raw-scores likeness L = ΢XY/N, and raw-scores principal component analysis. In a normal sample, the approach resulted in a structure dominated by a first principal component, according to which most people are faintly to mildly socially desirable. We hypothesized that a more differentiated structure would arise in a clinical sample. We analyzed the scores of 775 psychiatric clients on the 132 items of the Dutch Personality Questionnaire (NPV). In comparison to a normative sample (N = 3140), the eigenvalue for the first principal component appeared to be 1.7 times as small, indicating that such clients have less personality (social desirability) in common. Still, the match between the structures in the two samples was excellent after oblique rotation of the loadings. We applied the abridged m-dimensional circumplex design, by which persons are typed by their two highest scores on the principal components, to the scores on the first four principal components. We identified five types: Indignant (1-), Resilient (1-2+), Nervous (1-2-), Obsessive-Compulsive (1-3-), and Introverted (1-4-), covering 40% of the psychiatric sample. Some 26% of the individuals had negligible scores on all type vectors. We discuss the potential and the limitations of our approach in a clinical context.

Comparison of Principal Component Solutions in Two Populations

Methodology ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Gregor Sočan
Keyword(s):  
Simulation Study ◽  
Principal Components ◽  
Common Factor ◽  
Principal Component ◽  
Component Model ◽  
Bootstrap Procedure ◽  
Factor Loadings ◽  
Component Loadings ◽  
Principal Component Model ◽  
Two Populations

Abstract. When principal component solutions are compared across two groups, a question arises whether the extracted components have the same interpretation in both populations. The problem can be approached by testing null hypotheses stating that the congruence coefficients between pairs of vectors of component loadings are equal to 1. Chan, Leung, Chan, Ho, and Yung (1999) proposed a bootstrap procedure for testing the hypothesis of perfect congruence between vectors of common factor loadings. We demonstrate that the procedure by Chan et al. is both theoretically and empirically inadequate for the application on principal components. We propose a modification of their procedure, which constructs the resampling space according to the characteristics of the principal component model. The results of a simulation study show satisfactory empirical properties of the modified procedure.

System Design: What, Why, and How

1993 ◽  
Vol 38 (1) ◽  
pp. 101-102
Author(s):  
Charles G. Halcomb
Keyword(s):  
System Design
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