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Cuff-less blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for long-term BP monitoring. However, state-of-art PTT models are unable to trace the change of pressure baseline in subjects, which limits their application in long-term BP tracking. This study investigated the relationship between the change of pressure baseline and pulse waveform in long-term BP monitoring...
The accuracy provided by traditional sampling-based monitoring approaches, such as NetFlow, is increasingly being considered insufficient to meet the requirements of today's networks. By summarizing all traffic for specific statistics of interest, sketch-based alternatives have been shown to achieve higher levels of accuracy for the same cost. Existing switches, however, lack the necessary capability...
Identifying the most recent heavy hitters, i.e., finding the items with the highest appearances in a high speed data stream is a fundamental problem in real-time stream processing. The requirement of real-time stream applications raises significant challenges to this problem in terms of the processing latency, the space usage and the precision. Traditional schemes leverage the sliding windows based...
This paper presents a new approach for broken rotor bars detection in induction motors. When broken rotor bar occurs, the rotor resistance will increase. Furthermore, thermal effects of rotor resistance are considered to address practical aspects. Therefore, a suitable method to detect broken rotor bar is rotor resistance estimation. An applicable method in state estimation is Cubature Kalman Filter...
The boundary detection of continuous objects has become an important research challenge in Wireless Sensor Networks (WSNs), where improving the accuracy of boundary and reducing the energy consumption are the primary factors to be considered. To address this challenge, this article proposes a tow-stage boundary area detection scheme in duty-cycled WSNs, and sensor nodes are deployed in a dense fashion...
Power quality (PQ) monitoring has attracted the interest of many researchers around the world. PQ disturbances (PQDs) such as sags, swells, interruptions, harmonics, notching, spikes, and oscillatory transients, among others, have to be detected and classified in order to apply a proper solution. For their detection and classification, many methodologies in literature have been proposed, where a signal...
Software Defined Networking (SDN) enables a centralised entity - the controller - to monitor the network’s status by collecting traffic statistics such as packets, bytes, etc. Each statistic is associated with a forwarding table entry (FTE) in a switch whose structure and format is specified by the OpenFlow standard (de-facto SDN standard). For a flow with a FTE, its statistic is easily...
In this paper we develop a fault detection and isolation method based on data-driven approach. Data-driven methods are effective for feature extraction and feature analysis using statistical techniques. In the proposal, the Cumulated Sum (CUSUM) efficiency is explored for incipient fault detection. The fault is assumed to be a Gain variation, an Offset evolution, a Phase shifting or one of the multiple...
Objective markers obtained from acoustic analysis of speech are of great importance for clinical evaluation of voice disorders because they are non-invasive and provide a severity index of the disorder which allows clinicians to monitor the progress of patients and documents quantitatively the degree of perceived hoarseness. The object of the present study is to introduce a fractional order long-term...
The trends of transistor size and system complexity scaling continue. As a result, soft errors in the system, including the processor core, are predicted to become one of the major reliability challenges. A fraction of soft errors at the device level could become an unmasked error visible to the user. Unmasked soft errors may manifest as a detectable error, which could be recoverable (DRE) or unrecoverable...
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose...
The authors highlight that stationary condition monitoring systems for high-voltage equipment is an essential prerequisite of the Smart-Grid implementation in the industrial electric networks. Diagnostic systems commissioning is relevant for network and electric furnace transformers of iron and steel works. The system operation performance is deteriorated because of lack of the methods intended for...
The article considers the problem of complex estimation of the product state, associated with the need to help decision-makers in managing the life cycle of space facilities. A system analysis of the subject area was conducted, which showed the presence of limitations in the existing information system of the technical state and reliability of space facilities. The article presents a new intellectual...
In the past period, great efforts have been made to develop methods for people detection based on monitoring their respiratory motion using ultra-wide band sensors (radars). The basic principle of these methods consists in the detection of signal components of raw radar data possessing a significant power in the frequency band 0.1 Hz-0.7 Hz (a frequency range of human respiratory rate) for a constant...
The realization of early detection of incipient faults makes great sense for the guarantee of system performance and security operation. Therefore, It is necessary to estimate the fault amplitude especially when the system security assessment is the main goal. Regarding the incipient fault with low Fault-Noise-ratio (FNR), in this paper, a practical online fault estimation method is presented for...
Monitoring of dynamic industrial process has been increasingly important due to more and more strict safety and reliability requirements. Popular methods like time lagged arrangement-based and subspace-based approaches exhibit good performance in fault detection, however, they suffer from difficulty in accurately isolating faulty variables and diagnosing fault types. To alleviate this difficulty,...
We describe the implementation of a single-phase estimation algorithm for phasor measurement unit (PMUs) compliant with the IEEE C37.118.1-2011 standard. It consists of three stages: The fist one is a bandpass FIR filter that allows the relaxation of the requirements of the following stages. The second one is a digital extension on state-space of the pseudo-linear enhanced phase locked loop (PL-EPLL)...
In this paper the problem of estimation of extended lung ventilation parameters during non-contact monitoring using video camera is considered. Nowadays non-contact systems for respiration monitoring allow estimate the respiration rate only. The approach, that allows to estimate duration of inhale, exhale and their ratio using video stream from the upper torso, is proposed. The obtained parameters...
Most applications running on supercomputers achieve only a fraction of a system's peak performance. It has been demonstrated that the co-scheduling of applications can improve the overall system utilization. However, following this approach, applications need to fulfill certain criteria such that the mutual slowdown is kept at a minimum. In this paper, we present an HPC scheduler that applies co-scheduling...
In Infrastructure as a Service clouds, customers lease virtual resources (e.g., CPU, memory, network) offered by cloud providers, paying for the allocated capacity of resources, regardless of their effective use. In this context, it is in the interest of the customers to reserve resources with sufficient capacity so that their applications achieve good performance while, at the same time, minimizing...
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