Search results for "DETECT"
showing 10 items of 5902 documents
Time-Frequency Characteristics of In-Home Radio Channels Influenced by Activities of the Home Occupant
2019
While aging is a serious global concern, in-home healthcare monitoring solutions are limited to context-aware systems and wearable sensors, which may easily be forgotten or ignored for privacy and comfort reasons. An emerging non-wearable fall detection approach is based on processing radio waves reflected off the body, who has no active interaction with the system. This paper reports on an indoor radio channel measurement campaign at 5.9 GHz, which has been conducted to study the impact of fall incidents and some daily life activities on the temporal and spectral properties of the indoor channel under both line-of-sight (LOS) and obstructed-LOS (OLOS) propagation conditions. The time-frequ…
Balance Sheet of Screening for Diabetic Retinopathy With a Mobile Non-Mydriatic Digital Camera in Burgundy, France
2009
Purpose: To assess the economic balance-sheet of screening for diabetic retinopathy (DR) with a mobile non-mydriatic digital camera in Burgundy, France, in a public health and economic perspective.Methods: The 72 lowest medicalised areas of Burgundy were visited. Retinal images were obtained with a non-mydriatic camera. To construct an economic model, we used available data on the prevalence of diabetes in Burgundy, the efficiency of the screening, the number of screened DR, blindness probability according to DR grading, the efficiency of laser therapy, the diabetic characteristics (gender, age, income, professional status and life expectancy) and medical costs induced by our campaign.Resul…
Dimensionality reduction framework for detecting anomalies from network logs
2012
Dynamic web services are vulnerable to multitude of intrusions that could be previously unknown. Server logs contain vast amounts of information about network traffic, and finding attacks from these logs improves the security of the services. In this research features are extracted from HTTP query parameters using 2-grams. We propose a framework that uses dimensionality reduction and clustering to identify anomalous behavior. The framework detects intrusions from log data gathered from a real network service. This approach is adaptive, works on the application layer and reduces the number of log lines that needs to be inspected. Furthermore, the traffic can be visualized. peerReviewed
Using affinity perturbations to detect web traffic anomalies
2013
The initial training phase of machine learning algorithms is usually computationally expensive as it involves the processing of huge matrices. Evolving datasets are challenging from this point of view because changing behavior requires updating the training. We propose a method for updating the training profile efficiently and a sliding window algorithm for online processing of the data in smaller fractions. This assumes the data is modeled by a kernel method that includes spectral decomposition. We demonstrate the algorithm with a web server request log where an actual intrusion attack is known to happen. Updating the kernel dynamically using a sliding window technique, prevents the proble…
Digital pulse processing techniques for X-ray and gamma ray semiconductor detectors
2012
Digital pulse processing (DPP) systems, based on direct digitizing and processing of detector signals, have recently been favoured over analog electronics, ensuring higher flexibility, stability and lower dead time. We present our research activities on the development of X-ray and gamma ray spectrometers based on semiconductor detectors and DPP systems. We developed off-line and real-time DPP systems able to perform precise height and shape analysis of detector pulses. X-ray and gamma ray spectra measurements with cadmium telluride (CdTe) and germanium (Ge) detectors highlight the excellent performance of the systems both at low and high rate environments (up to 800 kcps).
Direct Measurement of Mammographic X-Ray Spectra with a Digital CdTe Detection System
2012
In this work we present a detection system, based on a CdTe detector and an innovative digital pulse processing (DPP) system, for high-rate X-ray spectroscopy in mammography (1–30 keV). The DPP system performs a height and shape analysis of the detector pulses, sampled and digitized by a 14-bit, 100 MHz ADC. We show the results of the characterization of the detection system both at low and high photon counting rates by using monoenergetic X-ray sources and a nonclinical X-ray tube. The detection system exhibits excellent performance up to 830 kcps with an energy resolution of 4.5% FWHM at 22.1 keV. Direct measurements of clinical molybdenum X-ray spectra were carried out by using a pinhole…
Instrumentation for time-of-flight elastic recoil detection analysis
2016
Time-of-flight elastic recoil detection is an ion beam based method to analyze the elemental composition of thin film samples at different depths. In order to improve the mass resolution and to enable kinematic correction a position sensitive gas ionization chamber energy detector was constructed. This detector along with pre-existing timing detectors were connected to a modern fully digitizing data acquisition setup. This thesis describes the design of these instruments, including all aspects from the mechanical design of the gas ionization detector to the algorithm and software development of the digitizing acquisition setup. The performance of the system has been studied with measurements …
Human Activity Signatures Captured under Different Directions Using SISO and MIMO Radar Systems
2022
In this paper, we highlight and resolve the shortcomings of single-input single-output (SISO) millimeter wave (mm-Wave) radar systems for human activity recognition (HAR). A 2×2 distributed multiple-input multiple-output (MIMO) radar framework is presented to capture human activity signatures under realistic conditions in indoor environments. We propose to distribute the two pairs of collocated transmitter–receiver antennas in order to illuminate the indoor environment from different perspectives. For the proposed MIMO system, we measure the time-variant (TV) radial velocity distribution and TV mean radial velocity to observe the signatures of human activities. We deploy the Anc…
Quantitative Rotor Broken Bar Evaluation in Double Squirrel Cage Induction Machines under Dynamic Operating Conditions
2013
Advanced monitoring techniques leading to fault diagnosis and prediction of induction machine faults, operating under non-stationary conditions have gained strength because of its considerable influence on the operational continuation of many industrial processes. In case of rotor broken bars, fault detection based on sideband components issued from currents, flux, instantaneous control or power signals under different load conditions, may fail due to the presence of inter-bar currents that reduce the degree of rotor asymmetry, especially for double squirrel cage induction motors. But the produced core vibrations in the axial direction, can be investigated to overcome the limitation of the …
Lasten ja nuorten sosiaalisen median ongelmatilanteet ja tarvittavat turvataidot
2023
Kouluikäiset lapset ja nuoret viettävät päivittäin useita tunteja erilaisilla sosiaalisen median alustoilla (EU Kids, 2020). Keskeisenä kasvu- ja toimintaympäristönä sosiaalinen media (some) luo mahdollisuuksia muun muassa toimijuudelle, oppimiselle ja vuorovaikutukselle, mutta myös erilaisten ongelmatilanteiden rakentumiselle ja kohtaamiselle. Nettikiusaaminen, virheellisen tiedon tai vaarallisten some-haasteiden kohtaamisnen ovat esimerkkejä yleisistä somen ongelmatilanteista. Sosiaalisen median turvataidot ovat nykyajan kansalaistaitoja, joita voidaan opettaa kouluissa esimerkiksi terveystiedon oppitunneilla pelillisin keinoin. nonPeerReviewed