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An important concern for current IaaS cloud providers is to be falsely accused by cloud users for the response delays of their applications running on the cloud. Since cloud computing brings an additional virtualization layer between guest-OS and hardware resources, the relationship between the performance of an application and its resource consumption becomes obscure. Only monitoring resource consumption...
This paper proposes an algorithm for estimate the damping ratio of power system oscillation in real time. In this paper, we utilize the Four-Max-Min-Points (FMMP) method to estimate the instantaneous damping ratio of the signals. The proposed method is simple and fast. It can be used for wide-area monitoring and control of power system oscillation from online PMU measurement. The algorithms are tested...
The vision of cyber-physical systems (CPSs) considered the Internet as the future communication network for such systems. A challenge with this regard is to provide high communication reliability, especially, for CPSs applications in critical infrastructures. Examples include smart grid applications with reliability requirements between 99–99.9999% [2]. Even though the Internet is a cost effective...
Driver State Monitoring Systems (DSMS) play a crucial role in determining whether the driver is prepared to take control of the vehicle or not. In this paper we present a cost-efficient, context-aware system, based on smartphones, which supports the driver in the driving task. This is through monitoring the driver attention and drowsiness, in addition to detecting pedestrians and vehicles. The detection...
Although the capacity is often used as a criterion to evaluate the state of health (SOH) of a lithium-ion battery, it cannot be measured on-line. Besides, degradation modeling only depending on historical capacity data will cause a large prediction error in the long term. Actually, some parameters can be monitored, such as the duration of equal discharging voltage difference, the interval of equal...
This work presents a solution for radiation hardness grading procedure using compact X-ray facility built in probe station, with automated measurement system based on NI PXI platform. The radiation grading procedure can be integrated as additional stage to provide rad-hard option of conventional process. Using the radiation grading procedure as a stage of IC fabrication process, the total ionizing...
In the past period, great efforts have been made to develop methods for the people detection based on monitoring their respiratory motion using ultrawideband (UWB) radar. The basic principle of the respiratory motion detection consists in the identification of sensor signal components possessing a significant power in the frequency band 0.1–0.7 Hz (frequency band of human respiratory rate) corresponding...
Load balancing is the salient problem in data stream processing systems and also in complex event processing systems. And the imbalance in operational workers becomes extremely apparent as the scale is up with more workers and skewed datasets. In this paper, we find out that the upstream skewed sources can also exacerbate the load imbalance in the downstream workers and this bottleneck cannot be handled...
This research work is aimed at the estimated two regression models, with which it is intended to measure the fragility of Ecuadorian companies. Development and scope of the proposed objective, the information in the financial statements of 34.575 both large companies are used, medium, small and micro enterprises that are controlled and monitored by the Superintendency of Companies in 2013, plus a...
Fault diagnosis constitutes a problem in electric power systems with relevant economic impact for operators and stakeholders. Artificial neural networks have been proposed in the literature to deal with this problem in a significant number of applications. However, most proposals are based in ad-hoc structure specification and model regularization, which compromises the direct application of the algorithms...
Cardinality estimation is the task of determining the number of distinct elements (or the cardinality) in a data stream, under a stringent constraint that the input data stream can be scanned by just a single pass. This is a fundamental problem with many practical applications, such as traffic monitoring of high-speed networks and query optimization of Internetscale database. To solve the problem,...
As more knowledge is vastly added to the devices fuelling the Internet of Things (IoT) energy efficiency and real-time data processing are great challenges that must be tackled. In this paper, we introduce ADMin, a low-cost IoT framework that reduces on device energy consumption and the volume of data disseminated across the network. This is achieved by efficiently adapting the rate at which IoT devices...
In this paper, a new distributed least-squares algorithm is proposed to solve the sensor fusion problem in using wireless sensor networks (WSN) to monitor the behaviors of large-scale multiagent systems. Under the assumption that each sensor can take the measurements of a limited number of agents but the complete multiagent systems are covered under the union of all sensors in the network, the proposed...
Network management protocols often require timely and meaningful insight about per flow network traffic. This paper introduces Randomized Admission Policy (RAP) — a novel algorithm for the frequency and top-k estimation problems, which are fundamental in network monitoring. We demonstrate space reductions compared to the alternatives by a factor of up to 32 on real packet traces and up to 128 on heavy-tailed...
This paper presents a novel approach based on pulse transit time (PTT) for the estimation of blood pressure (BP). In order to achieve this goal, a data acquisition hardware is designed for high-resolution sampling of phonocardiogram (PCG) and photoplethysmogram (PPG). These two signals can derive PTT values. Meanwhile, a force-sensing resistor (FSR) is placed under the cuff of the BP reference device...
The application of the Wentzel-Freidlin asymptotic method in the control problem of estimating the probability of large deviattions is considered. This problem is reduced to the Lagrange optimal control problem for the action functional. In the case when state space matrix of object is Hurwitz matrix, the existence of a unique solution of the Lagrange problem in the form of quasipotential extremals...
Process parameter estimation, to a large extent, determines the quality of the industrial production. Traditionally, limited sensors are deployed in production field by elaborate wiring, which cannot provide the accurate estimate in the hostile industrial environment. Recently, industrial wireless sensor network (IWSN) has been considered as one promising technology to improve the process parameter...
Since Apple introduced the iBeacons in Worldwide Developers Conference (WWDC) 2013, the iBeacon has been rapidly accepted and generalized in the market. For the deployed iBeacons, it is necessary to monitor their status. In this paper, we design a crowd sensing based monitoring framework which combines the moving and static schemas of participants to monitor the real status of iBeacons. In such a...
Forwarding fault detection increases the robustness of network connectivity by finding and allowing to react to faulty routers. One of the essential steps in forwarding fault detection is summarizing the observed traffic at different vantage points, so that the behavior of each monitored router can be assessed using a traffic validation function. This paper studies and characterizes 3 sketches (AGMS,...
Permanent magnet synchronous motors (PMSM) are widely used in many industry fields. Maximizing their degree of thermal utilization reduces the motor's weight, volume and cost. For this reason, real-time temperature information is required. However, this cannot be solely obtained from measurement sensors due to costs and constructional drawbacks. Thus, several direct temperature modeling techniques,...
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