The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Most of the image acquisition algorithms neglect the illumination problem like shadows and direction of illumination changes as well the image degradation caused by motion blur, noise introduction in several intermediate process. This paper presents a novel method of high resolution image generation by interpolating local gradient field and subsequent training of LR cluster patches by fuzzy learning...
This paper presents a density based clustering (DBSCAN) technique to visualize and analyze the smart-grid data. The technique will aid in detecting bad-data, various fault types, deviation on frequency, voltage or current values for better situational awareness. Synchrophasors (or a PMU) is a sensor placed on a transmission line that tracks voltage, current, phase and frequency of the line. To improve...
Various wearable devices are foreseen to be the key components in the future for vital signs monitoring as they offer a non-invasive, remote and real-time medical monitoring means. Among those, Wireless Body Sensors (WBS) for cardiac monitoring are of prominent help to early detect CardioVascular Diseases (CVD) by analyzing 24/24 and 7/7 collected cardiac data. Today, most of these WBS systems for...
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...
This paper discusses the circuit comparison of the electrocardiogram (ECG) heart rate detector for wearable biomedical devices. In this work, the QRS complex is used to calculate heart rate, representing the main component of the ECG signal. In order to achieve a high level of accuracy by the detector, the measured ECG signal must be free of noise. Typically, such noise originates from power line...
The paper is proposed the novel non-linear process monitoring method based on robust kernel independent component analysis component analysis (Robust KICA). Combined with the kernel principle component analysis(KPCA) and the robust independent component based on Kurtosis, the basic theorem of RobustKICA are applied to realize nonlinear mapping, and made the data linearly structured in featurespace...
Fusion of ambient breathing signals can be hampered by the current environmental conditions. Fusion methods that are resistant to most adverse ambient conditions may still be susceptible to some. The diversity of multiple fusion methods can be leveraged by employing a variety of fusion methods to fuse each breathing epoch. By using a trained linear classifier to select the best candidate fusion method...
In this paper, we present a wearable ECG recorder which senses real-time ECG signal, undertakes preprocessing and extracts ECG waveform and fiducial points. The ECG signal then is sent through ULP Bluetooth to the paired smartphone, in which the application classifies the ECG signal using classifiers updated by the intervene of cardiologist in a novel interactive method.
We present a novel fast method based on computer vision to identify microbe The proposed method is simple but absolutely effective It combines approximate parallel light source and industrial camera, to automatically accomplish the bacteria identification and monitor the growing states of bacteria during the progress of a drug sensitive test. Based on this method, the color information and turbidity...
An Electrocardiogram (ECG) signals commonly change their statistical property over time and are highly non- stationary signals. Growing of embedded technology have provide possibility for use powerful tools to analysis ECG. For the analysis of ECG signals wavelet transform is a powerful tool. In this paper, we proposed Implemented an automatic real time ECG feature extraction system based on discrete...
Driver assistance systems in today's cars assist drivers when the car is in motion. However, there is relatively less, to almost no work on assistance systems when the car is stationary. This paper focuses on such a system, and describes the design and realization of a collision avoidance system for a novel car door assistance system, the smart car door. An omnidirectional camera is attached to each...
Changes and murmurs of heart sounds often provide the earliest information of abnormal heart status, which makes heart sound monitor and diagnose an important mean for cardiovascular disease. Compared to other heart monitoring approaches, such as EGG, Color Doppler and Magnetic Resonance Imaging Diagnosis, heart sound detection is more portable, much safer and cheaper, and needs lower professional...
The identification of Internet applications is important for ISPs and network administrators to protect the network from unwanted traffic and prioritize some major applications. Statistical methods are widely used since they allow to classify applications according to their statistical signatures. They combine the statistical analysis of flow parameters, such as packet size and inter-packet time,...
Detection of tool wear is vital for the deep-hole drilling, because it can help increasing manufacturing productivity and decreasing tool cost. This paper uses the drilling noise to establish the BTA tool wear condition monitoring system in order to monitor the tool wear condition. After the improved Empirical Mode Decomposition (EMD) method is used to do the modal decomposition for noise signal which...
This paper presents a detail review and implementation issue of fetal ECG extraction and enhancement. The focus is also made on proper placement of electrodes for fetal ECG monitoring in twins and multi-fetal prenatal. Various extraction methods like correlation, subtraction, matched filtering, linear regression and independent component analysis are discussed. For enhancement neural networks, fuzzy...
After a simple introduction of intelligent monitoring system, monitor video processing methods based on wavelet transform, including denoising, enhancement, feature extraction and compression, are proposed in this paper. Results relating to the series of methods are given by Matlab software system. At the end of this paper, the advantage of using of wavelet in video processing is discussed.
This paper describes the use of Feature Sequence Viewer (FSV) to perform feature location in a teaching and research program suite named Open SOALab. In this context, a software feature refers to software components that provide specific functionality. The composite application encompasses a system in which hotel brokers identify rooms meeting various criteria from among several hotel chains in multiple...
There has been increasing application of on-line partial discharge (PD) based cable insulation condition monitoring among utilities worldwide due to the ability of on-line PD monitoring to allow incipient insulation faults to be detected and aged cable replacement program to be prioritised. However the application is also accompanied with a number of challenges. Data from on-line PD monitoring systems...
A new region image descriptor is proposed. This descriptor arises from the chromatic methodology to extract the features from the images by applying new type of processors called `Invariant spatial chromatic processors'. The properties of the spatial chromatic processors and the proposed approach of making them invariant are presented. A database of more than one thousand gray scale images is used...
A signal quality classification algorithm is presented to evaluate signal quality in ambulatory monitoring system. Acoustic based signal is classified as good signal, weak signal or noisy signal. Certain features in the acquired signal are extracted and analyzed to differentiate the class of signal quality. With this classification, wrong physiological estimation due to poor signal quality can be...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.