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In the present scenario of restructured power system, there is necessity for accurate quantification of Available transfer capability (ATC). ATC can be determined appropriately by exact calculation of marginal components of Total transfer capability (TTC). One of the margins we are concerned with is Transmission reliability margin (TRM). Accurate estimation of TRM ensures reliable power transactions...
This paper presents a real-time evaluation of power semiconductor devices in a high performance high power amplifier. The proposed method can represent the life status of the semiconductor modules in ‘odometer’ format. A special challenging case are pulsating load applications like an MRI gradient driver system. The general concepts presented have been evaluated in detail for the MRI case. A detailed...
Automated riving is becoming the focus of various research institutions and companies. In this context, road estimation is one of the most important tasks. Many works propose to realize this task by employing one or multiple of the following orthogonal information sources: road markings from optical lane recognition, leading vehicle, digital map. etc. Each of them has its own strength and drawbacks...
The junction temperature of power semiconductors in power converters must not exceed its maximum limits and it is of major importance for several failure mechanisms. But still, the junction temperature is hard to access. Direct measurement is not practical for industrial applications, indirect measurements require substantial effort and available junction temperature models have high calculation effort...
Estimation of bus travel time is one of crucial issues for passengers to let them know their departure time and arrival time at the destination, and to reduce their waiting time at the bus stop. Furthermore, it can also help to promote the development of city public transportation. To estimate bus travel time, it is worth of knowing whether target routes for passenger's travel is unstable or not,...
Haze removal, which is also referred to as image dehazing, has been extensively used to improve the visibility in images captured under inclement weather. In particular, the dark channel prior (DCP)-based single image dehazing has received the greatest amount of interest due to its superior performance. However, since the DCP is based on the characteristics of natural outdoor images, its reliability...
Two sequential camera fingerprint detection methods are proposed. Sequential tests implement a log-likelihood ratio test in an incremental way, thus enabling a reliable decision with a minimal number of observations. One of our methods adapts Goljan et al.'s to sequential operation. The second, which offers better performance in terms of average number of test observations, is based on treating the...
The purpose of this study was to investigate whether pulse transit time (PTT) can be used for continuous monitoring of respiratory rate (RR). We derived PTT from the electrocardiogram and photoplethysmogram obtained from 42 recordings of CapnoBase, a publicly available benchmark data set for validating respiratory related measurements. The number of breaths in a minute (RR#) was estimated from the...
Based on the relationship between porosity (or lithological facies) and other petrophysical properties, Artificial neural networks (ANN) are respectively trained for porosity estimation and lithological facies classification, using core porosity (CPOR) data and core lithological facies interpretation results of part of core interval together with some well logs (petrophysical properties). After the...
Corneal images acquired by in-vivo specular and confocal microscopy provide clinical information on the cornea endothelium health state. Indeed, the normal hexagonal shape of endothelial cells is usually affected by age and pathologies. At present, the analysis is based on manual or semi-automatic methods and the segmentation of a large number of endothelial cells is required for a meaningful estimation...
Heart rate (HR) and HR variability (HRV) carry rich information about physical activity, mental and physical load, physiological status, and health of an individual. When combined with activity monitoring and personalized physiological modelling, HR/HRV monitoring may be used for monitoring of complex behaviors and impact of behaviors and external factors on the current physiological status of an...
Most of extant works, focusing on disposing of invalid and erroneous information from certain sensors in a multi-sensor system, generally process the data from the same time point, which leads to incredibility in some certain moment. To solve this problem, this paper proposes a method to detect and order the credibility of every sensor from the perspective of both specific time points and time axis,...
High performance computing systems are becoming the norm for daily use and their applications are being known within academia, industry, and government sectors. However, the resilience of these systems is in question for their complex internal structure makes them difficult to trouble shoot — making them vulnerable to intentional failures. Our work addresses this topic by employing dynamic prediction...
Information is at the center of decision making in many systems and use-cases. In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions are not always competent and honest but often erroneous or even malicious. Furthermore, malicious sources may adopt certain behaviors to mislead the decision maker in a specific...
Decades of technology scaling has brought the threat of soft errors to modern embedded processors. Though several methods have been proposed to protect systems from soft errors, their effectiveness in ensuring error-free computing cannot be guaranteed; without accurate and quantitative estimation of system reliability. The metric vulnerability - which defines the likelihood of device failure by accurately...
Maintenance work of power equipment plays an important role in ensuring the security and reliable operation of power system and promoting the economic efficiency of enterprises. This paper takes the actual operating status of in-service equipment into account, calculates the current failure rate based on health index to improve the equipment reliability assessment. The fuzzy age reduction based failure...
In order to provide reliable information on the instantaneous field-of-view considered in hyperspectral images through spectral unmixing, understanding the kind of mixture that occurs over each pixel plays a crucial role. In this paper, a new method for fast detection of linear mixtures is introduced. The proposed method does not need statistical information and performs an a priori test on the spectral...
Connectivity analysis has become an essential tool for the evaluation of functional brain dynamics. The functional connectivity between different parts of the brain, or between different sensors, is assumed to provide key information for the discrimination of brain responses. In this study, we propose an estimation of effective cortical connectivity measures in frontal and parietal areas of human...
One of the main aims of lifelong learning architectures is to efficiently and reliably cope with the stability-plasticity dilemma. A viable solution of this dilemma combines a static offline classifier, which preserves ground knowledge that should be respected during training, with an incremental online learning of new or specific information encountered during use. A feasible realisation has been...
In this paper; a comparative study approach is proposed between Feed Forward Neural Network (ANN) and accommodative Adaptive Neuro-Fuzzy Inference System (ANFIS) rule model to find the fault of 3-ph transmission line using MATLAB Toolbox. Post fault current is the key requirement of the technique and its features are extracted using DWT ‘DB4’ as mother wavelet. These features are then used to train...
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