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Noise pollution is a significant problem in cities due to its various effects on health, but the modeling of noise data and the generation of accurate noise pollution maps suffer from the high cost and restricted scale of sensing performed using static municipal sensors. In this paper, we present our approach for augmenting municipally sensed data using participatory sensing-based information collected...
In Aerospace industry, implementation of Automated Test System (ATS) at the assembly and manufacturing floor improves characterization accuracy and plays a vital role to substantiate the airworthiness of the aircraft components. It is very useful in realizing high quality standards of aircraft components by virtue of meeting predefined acceptance test criteria. This paper outlines comprehensive design...
We propose a new method for QT interval measurement which first detects the morphology of the T-wave and then finds the T-end according to the detected morphology. The proposed method has more emphasis on detection of the T-wave morphology which helps more accurate detection of the T-end and better lead selection for QT interval measurement. Six types of T-wave morphologies (normal, invert, biphase...
The current trend for System-on-Chip (SoC) compute subsystems is to improve energy efficiency, while operating at a similar power budget as previous generations. Reduced supply voltages and increased transistor density affords SoCs composed of multiple clusters of CPUs and additional specialized compute engines. However, this comes at the cost of both increasing current, and increasing current density,...
A hand held wireless portable electronic nose (e-nose) has been developed for general purpose applications. It is based on non-specific micromechanized semiconductor sensors. It has been applied to the real time detection of two common aromatic defects in beer: acetaldehyde and ethyl acetate. Several measurements are made in order to check the discrimination capability of the system in the quantitative...
Freshwater cetaceans are among the data deficient and now recognized as the most threatened group of marine mammals. Large scale studies are required to be done on an urgent basis to ensure reasonable chance of survival for these species. A detailed analysis of the freshwater habitats globally, indicate tropical shallow environment (important for the survival of the freshwater cetaceans). Visual surveys...
Feasibility of monitoring seismic velocity structure using seismic noise observed in the seafloor is demonstrated through two different types of waves, infragravity wave in 0.005 – 0.02 Hz and microseisms in 0.1 – 3 Hz. The examples of seismic velocity measurement using these waves are shown by observation data obtained by seafloor observatories deployed in the Nankai Trough south of Japan seafloor.
As driver's inattention becomes one of the major causes of traffic accidents, there have been many researches for monitoring driver's health and cognitive states. In this paper, a non-intrusive real-time ECG system based on capacitive sensing method was proposed. To verify the ECG sensing system, on-road experiment was conducted on three different types of road environment. As a result, the ECG waveforms...
We are presenting a novel PPG optical sensor and device with ambient optical, electrical and electromagnetic noises cancellation, thus allowing only the useful optical signals to be received by the health monitoring device. The presented sensor and methodology has been integrated into a prototype standalone device for noninvasive, continuous, wearable, remote and mobile monitoring of blood pressure...
Good performance of a controller in Model Predictive Control (MPC) system keeps the whole industrial process running well. Because of the complexity of the process, data-driven performance assessment approach, instead of model approach, becomes a popular topic. However, performance assessment is inaccurate when operating condition changes, because the performance benchmark should be different. This...
The popular existing de-noising methods are compared and analyzed, including wavelet packet decomposition, coefficient shrinkage and modulus maxima method of wavelet transform, which advantages and disadvantages are analyzed and summarized. So their suitable scopes and premise condition are obtained. To accurately analyze high frequency part of signal in submarine tunnel monitoring, the maxima method...
Three dimensional ICs are expected to bring about a new generation of integration by allowing for a smaller footprint, faster operation, and lower energy consumption. Manufacturing defects in through-silicon via (TSV) and disconnection defects among tiers are concerns in this new technology. To prevent yield loss from these defects, confirming known-good-die (KGD) and known-good-stacks (KGS) by test...
Condition monitoring based on partial discharge diagnostics has seen a very rapid increase of interest from high voltage industry. Condition monitoring is an asset monitoring tool that can inform the user of real time health of their high voltage equipment / plant, which has now become a necessity in ageing networks that still have equipment in operation that has fulfilled its rated life. Partial...
This paper is an effort to help prevent broiler chicken mortality caused by stressful conditions. We assume a relation between broiler chicken vocalizations and stress; therefore, microphones were used to monitor a flock of birds over the course of their lifetime (approximately 65 days). A noise removal method based on spectral oversubtraction was developed to filter out the significant fan and heater...
Increased functional density with shrinking technology could result in escalating noise-induced failures in the field. Further, the low correlation between system level functional test and production test is making it difficult to better screen parts that would fail in the field due to noise. To address these issues, in this paper we present a light-weight fully digital on-chip distributed sensor...
An on-chip monitoring technique has realized in place diagnosis of power noise problems. On-chip voltage noise monitor (OCM) circuits are overviewed with some examples of integration in silicon chips. The OCM captures power noise waveforms in a silicon chip and provides the opportunities of diagnosis on unfavorable invisible events within a die. In-band interference of radio-frequency (RF) communication...
A low-power high-resolution thoracic impedance variance (TIV) monitoring circuit is presented. The TIV information is extracted by injecting a square-wave modulated current to the body. The resulted voltage is then demodulated by a proposed delayed-sampling technique. This proposed technique solves the gain-error issue occurred in prior square-wave modulated architectures. Furthermore, compared with...
In this paper, we report our experiment about wavelet decomposition for study environmental condition based on infrared images. Infrared images acquired by consumer digital camera, after replacing the infrared stoping filter with filter SRS, and the images captured sequentially every two hours (from 06:00–16:00). The result of this research is the increasing air pollution characterized using wavelet...
Over the past fifteen years, quantitative monitoring of human motor control and movement disorders has been an emerging field of research. Recent studies state the fact that Malaysia has been experiencing improved health, longer life expectancy, and low mortality as well as declining fertility like other developing countries. As the population grows older, the prevalence of neurodegenerative diseases...
Analysis of crowd behaviour in public places is an indispensable tool for video surveillance. Automated detection of anomalous crowd behaviour is a critical problem with the increase in human population. Anomalous events may include a person loitering about a place for unusual amounts of time; people running and causing panic; the size of a group of people growing over time etc. In this work, to detect...
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