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Students and teachers, in a large classroom environment (with over 100 students), faces difficulties in carrying out the lecture session like visibility and audibility of lectures, student-teacher interaction and monitoring the students. Avabodhaka an ICT (Information and Communication Technology) based e-learning system, addresses the difficulties of a large classroom. In this paper we present an...
Radio signals can be used to detect the presence of a person (target) in an environment by analysing the fluctuations in the Received Signal Strength Indicator (RSSI). The velocity of the target can be estimated by examining the sequence of disturbances in consecutive radio links over a period of time. This requires knowledge of the deployment of the radio transceivers and the time when the target...
Texture feature is an important feature descriptor for many image analysis applications. The objectives of this research are to determine distinctive texture features for crowd density estimation and counting. In this paper, we have comprehensively reviewed different texture features and their different possible combinations to evaluate their performance on pedestrian crowds. A two-stage classification...
GPS (Global Positioning System) cannot be used for localization object in indoor environments. Even though, estimation of localization is an important requirement in wireless sensor networks to determine the position of the object. Localization based on RSSI (Received Signal Strength Indicator) has low accuracy because of attenuation of the transmitted signal as a function of the distance between...
Fast and accurate respiratory rate (RR) estimation from photoplethysmography (PPG) signal is still a challenging problem. In this paper, we propose a real-time algorithm for RR estimation from PPG signal using sparse signal reconstruction (SSR) based on orthogonal matching pursuit (OMP). This algorithm greatly reduces the computational complexity of the original sparse signal reconstruction and respiratory...
In recent years, the hot spring industries experience rapid growths that dramatically increase the withdrawals of hot spring water. This study collected from 2011 to 2012 between the in situ data, monitoring data and to analyze and construct the hot springs area hydrogeological conceptual model using MODFLOW software on groundwater flow model three-dimensional simulations, in order to meet situ hydrogeological...
Technical advancements allow for the development of crowd monitoring and management support systems to ensure the safety of pedestrians during large-scale events. This way, pedestrian behaviour can be monitored during events, and potential dangerous situations can be identified in a timely manner. A real-time prototype Crowd Monitoring Dashboard has been developed for a large nautical event in Amsterdam...
WiFi-enabled devices broadcast a vast amount of data without being associated to any access points. To study and analyze this data, a generic passive WiFi tracking system called Probr was developed. Probr manages various types of WiFi capturing devices, collects captured WiFi traces, processes collected WiFi traces, and visualizes WiFi activities via its Web interface. Probr supports several on-line...
Connected vehicles extend the capability of information collection, and thus open more opportunities for innovative advanced driver assistance systems (ADAS). In this paper, we propose a Lane Speed Monitoring (LSM) application based on vehicle-to-vehicle (V2V) communication. This application takes advantage of Basic Safety Messages (BSM) transmitted from equipped vehicles via dedicated short range...
Many vision-based systems have been proposed for intersection monitoring, but few of them use wide angle cameras. In this paper, we present a fisheye-stereo monitoring system that will be installed especially in rural areas. Our goal is to estimate the extrinsic calibration decoupled into a rotation followed by a translation. In the context of rural intersections, methods that purely rely on the geometry...
Proton Exchange Membrane Fuel Cells (PEMFCs) are promising energy devices that can be used as the power sources in many applications. But short life duration of the PEMFCs still limits their large scale commercialization. The prognostics and health management (PHM) is a series of methods that not only monitor the state of health (SOH), but also take proper actions to extend the remaining useful life...
To be competitive, transportation systems must be able to analyze and to evaluate, in real-time, critical differences between the short-term planned actions and the actual performed actions generating states of undesirable or unacceptable risk. We propose a method for monitoring the dynamic evolution of risk in the operational flow of a transportation system. It consists in an approach assessing risk...
For the low-speed diesel engine monitoring with multi-sensor information on ship, the on-line anomaly detection as the fault symptom pre-warning is mainly considered in this paper. The stable operating condition is firstly identified by the ADF test. Then, the on-line anomaly detection with baseline deviation is modeled by the Auto associative Kernel Regression (AAKR) method, where the baseline is...
In this paper we introduce a new SVR (Support Vector Regression) based model for estimating air pollution at fine spatial granularity. Specifically we use historical data from (sparse) government monitoring sites and a (dense) wireless sensor network, along with SVR — a supervised regression learning method to estimate an air pollution surface for any given hour on any given day in Sydney. Further,...
Respiration is a vital activity for proper body functioning. Monitoring respiration not only aids in assessing our health but also helps in anticipating obstructive disorders such as sleep apnea and asthma. Typical systems for monitoring respiration such as nasal masks and chest band are cramped on a user's body. These are wired and require a user to be stationary when measurements are taken. Wireless...
Impulse-radio wireless sensor network is a recently proposed concept of a wireless sensor network that aims sensing with high spatial resolution. Extremely simple architecture of the network is expected to largely reduce power consumption and maintenance cost, which enables installing huge number of sensors to observation area. Here, we propose a novel localization method for the impulse-radio wireless...
This work investigates sensor signal processing approaches that can be used with a sensor system for direct on-site monitoring of groundwater, enabling detection and quantification of BTEX (benzene, toluene, ethylbenzene and xylene) compounds at μg/L (ppb) concentrations in the presence of interferents commonly found in groundwater. A model for the sensor response to water samples containing multiple...
The research reported in this paper is related to an assistive technology that may be used by healthcare services for elderly and disabled people. A system for non-intrusive monitoring of the movements of such persons in their home environment, based on impulse-radar sensors, is adressed. A large family of new procedures for the estimation of position and walking velocity of a monitored person, on...
This paper presents a work for imaging the moving targets and estimating their velocities with better accuracies using the Digital Elevation Map (DEM) in urban environments under multi-channel Synthetic Aperture Radar (SAR) scenarios. Given the received phase histories pre-processed by channel balancing techniques, we employ Ground Moving Target Indicator (GMTI) methods to detect the moving targets,...
Sensor enabled smartphones have become a common platform for researchers due to their availability and ability to collect and process large quantities of data. In this work, a solution is proposed to support the student's assessment process in physical education classes, through the use of accelerometry data collected from smartphones. This solution aims to deliver accurate and readily available information...
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