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Knowledge of power consumption at a subsystem level can facilitate adaptive energy-saving techniques such as power gating, runtime task mapping and dynamic voltage and/or frequency scahng. While we have the ability to attribute power to an arbitrary hardware system's modules in real time, the selection of the particular signals to monitor for the purpose of power estimation within any given module...
Fine-grained runtime power management techniques could be promising solutions for power reduction. Therefore, it is essential to establish accurate power monitoring schemes to obtain dynamic power variation in a short period (i.e., tens or hundreds of clock cycles). In this paper, we leverage a decision-tree-based power modeling approach to establish finegrained hardware power monitoring on FPGA platforms...
In recent years, accurate location and characterization of damage has motivated the engineering community to develop several damage identification techniques. Many of the nondestructive evaluations and structural health monitoring techniques are based on the analysis of huge amount of data collected from acousto-ultrasonic sensors. Such analysis is typically a very time-consuming process. Therefore,...
In this paper, anomaly symptom detection using ensemble prediction based on newly developed weighting method is presented for time series. This weighting method is characterized that weights are determined in proportion to the indices defined by the prediction errors in a certain time period in the past. Next, alarm prediction based on this prediction method is proposed. Prediction accuracy is considered...
Method for clustering and interval analysis of heterogeneous data sample is considered in the paper and it is shown an algorithm for method implementation. An example of applying of the developed method and the algorithm is represented.
In ultrasonic NDE applications, the received signal carries valuable physical information along the wave propagation path such as locations, orientation and sizes of discontinuities. Various signal processing algorithms have been utilized to interrogate ultrasonic echoes, highly overlapped and sometimes noise-contaminated. As of assessing and monitoring the in-situ outsized structures, it becomes...
The present paper has considered scientific and methodological aspects of development of methodological, informational and instrumental support for the educational risk control system in higher educational institutions. Mathematical model, method and algorithm for estimation of educational program implementation efficiency in educational institutions have been developed. Usage of geoinformation technologies...
Estimation of power-system damping from synchrophasor frequency measurements is studied. Specifically, a procedure for determining the damping of a dominant mode from the turns ratio of the sample autocorrelation function is outlined. The main contribution of the work is to then develop performance bounds on the damping estimates, and demonstrate approximation of these bounds entirely from the measurement...
User data has become a backbone of today's ICT services and applications, where various providers compete to provide better services to their users based on a personalized content. However, user data is simultaneously becoming a tempting target for malicious individuals who try to get the data and exploit it for their own financial gain. The necessity for high-quality data loss prevention is obvious...
The sensor nodes estimation for a greenhouse monitoring system using hierarchical wireless sensor network (WSN) is presented in this paper. The hierarchical wireless sensor network analyzed in this paper is composed by sensor nodes at the lowest level, the router nodes in the middle level to transmit data from sensor nodes to a controller named coordinator node. The coordinator node, in the highest...
The emergence of photoplethysmography for blood pressure estimation is offering a more convenient method. The elements of photoplethysmography waveform is crucial for blood pressure measurement. Several photoplethysmography elements are still not completely understood. The purpose of this study was to investigated corelation of photoplethysmography elements with blood pressure using statistical approach...
Parkinson's disease is a common neurodegenerative disorder causing several motor symptoms. Gait disorders such as festination and freezing of gait are important clinical problems, since, despite their high impact on patients' quality of life, they are poorly understood and counteracted phenomena due to their episodic nature, heterogeneous manifestation, and drug resistance. Automatic and objective...
In this paper, we propose a method for respiratory rate estimation based on the received signal strength of narrowband radio frequency transceivers. We employ a state-space formulation of periodic Gaussian processes to model the observed variations in the signal strength. This is then used in a Rao-Blackwellized unscented Kalman filter which exploits the linear substructure of the proposed model and...
This paper proposes a method to estimate the stator winding temperature of permanent magnet synchronous motor (PMSM) driven by direct torque control (DTC) strategy, where the stator resistance is used as a direct indicator of the temperature. In this method, the quantitative relationship between the dc current offset and the corresponding changes in torque is derived. The dc current offset is generated...
We address the problem of estimating a spatial field of signal strength from measurements of low accuracy. The measurements are obtained by users whose locations are inaccurately estimated. The spatial field is defined on a grid of nodes with known locations. The users report their locations and received signal strength to a central unit where all the measurements are processed. After the processing...
As a first step to Antarctic Blue Whale monitoring, a new method based on a passive application of the Stochastic Matched Filter (SMF) is developed. To perform Z-call detection in noisy environment, improvements on the classical SMF requirements are proposed. The signal's reference is adjusted, the background noise estimation is reevaluated to avoid operator's selection, and the time-dependent Signal...
In this paper we study the problem of estimating the cardinality of pairwise set operations (union and intersection) over sets possessed by different data owners, while preserving differential privacy. In our problem setting, a data owner could only communicate with an untrusted server, and thus have to perturb its set data for privacy protection before sharing them with the server. This problem setting...
Link quality protocols employ link quality estimators to collect statistics on the wireless link either independently or cooperatively among the sensor nodes. Furthermore, link quality routing protocols for wireless sensor networks may modify an estimator to meet their needs. Link quality estimators are vulnerable against malicious attacks that can exploit them. A malicious node may share false information...
Most of the times Wireless Sensor Networks (WSNs) operate in hostile and unattended network environments, which makes the nodes vulnerable to node misbehaviour attacks. The applicability of conventional security methods, such as authentication, encryption and cryptography, to counter node misbehaviour attacks is debatable due to their incapability and involved cost. Trust aware secure mechanisms provide...
In this paper, we address a wiener-process degradation model to estimate the remaining useful lifetime of aero-engines. The measurement error and unit-to-unit variability are taken into account in the proposed degradation model and the RUL estimation is derived by the concept of first hitting time. Typically, the unknown parameters of the degradation model were estimated based on historical degradation...
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