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The paper observes methods of qualimetry of dynamic processes based on the “entropy” approach. Also the paper presents variants of criteria for the processes quality assessment, adapted to different situations, as well as justifies the expediency of their application. The proposed models are based on the use of typical statistical characteristics of the analyzed parameters, are compact and convenient...
Real-time applications are usually well-defined and operate based on a particular system model. However, in practical scenarios, the applications can perform differently because of the uncertainties in the environment. The system can use video streams to capture sequential real-time information of its surroundings. The system also needs to identify various constraints that have significant effects...
Prioritization of non-functional requirements (NFRs) is a research field that needs more attention. We demonstrate ARRoW, a novel approach for automatic runtime reappraisal and update of the weights of NFRs given new evidence collected from the environment during the execution of the system. In this paper, we showcase how ARRoW is used in an substantial industrial case study. Our results shows how...
[Context/Motivation] Decision-making for self-adaptive systems (SAS) requires the runtime trade-off of multiple non-functional requirements (NFRs) and the costs-benefits analysis of the alternative solutions. Usually, it requires the specification of weights for NFRs and decision-making strategies. Generally, these weights are defined at design-time with the support of previous experiences and domain...
To satisfy quality of service requirements in a cost-efficient manner, cloud service providers would benefit from providing a means for quantifying the level of operational uncertainty within their systems. This uncertainty arises due to the dynamic nature of the cloud. Since tasks requiring various amounts of resources may enter and leave the system at any time, systems plagued by high volatility...
Modern unmanned aerial vehicles (UAVs) rely on constant periodic sensor measurements to help avoid obstacles, deal with system disturbances and correct uncertainties. However, constant checking is time and energy consuming and is often not necessary especially in situations in which the UAV can safely fly using open loop control without entering unsafe states. Thus, in this paper we focus on two main...
Human activity monitoring has become widely popular in recent years, and has been utilized in a vast number of fields and applications. Most of the activity recognition algorithms proposed have emphasized the use of inertial sensors in smartphone devices or other bodily-worn sensors. However, wearable inertial sensors are not interactive, and smartphones are not easily worn. Thus, with the advancement...
As Information Technology (IT) and Operational Technology (OT) are rapidly converging, new and emerging technologies have been introducing both opportunities and challenges to Cyber-Physical Systems, which play critical roles in SCADA (Supervisory Control & Data Acquisition) and M2M (Machine-to-Machine) systems in Critical Infrastructure, and Internet of Things (IoT). This work highlights the...
Cloud service monitoring is a critical need for both providers and customers to assess the state of resources and the level of delivery of services. However, existing Cloud service monitoring methods are typically inapplicable in case the targeted service parameters are inaccessible, e.g., Cloud Service Providers do not allow external access to some service parameters for varied reasons (proprietary...
This paper presents the results of an online questionnaire (N=130) focusing on the impact of initial information for novel systems in two different automation levels. Willingness to share data and privacy concerns were compared between partial and conditional automation. With initial information on system limits manipulated between participants, differences in a priori attitudes and information relevance...
This paper develops a methodology for the optimal monitor placement of voltage unbalance, based on a limited number of monitors. As voltage unbalance causes overheating problems in both power system equipments and user devices, it is expected that this long term problem can be fully observed and mitigated if necessary. In this paper, by analyzing the importance of every bus against the monitoring...
We propose a scheme to reduce monitoring uncertainties in optical networks. The proposed scheme uses monitoring data of optical connections (lightpaths) which can be obtained from coherent optical receivers that can also function as optical performance monitors (OPM). We exploit both space and time correlation of the monitoring data in order to reduce the monitoring uncertainties. The improved accuracy...
In the paper are observed methods for synthesis of the information model of the systems' evolution for the variation properties of their parameters. It is proposed to carry out the variations description based on entropy potentials values. As a result, it is possible to obtain compact and representative models in various situations with the original data. The synthesis of these models requires the...
In electrical distribution networks many automation applications, such as voltage and power control, require to access the status of the system. Such information can be obtained by aggregating the heterogeneous measurements available in the grid and then applying state estimation algorithms. Different factors may have an impact on the estimation errors when the grid status evolves dynamically. The...
In the last edition of the IEC Standard 61000-4-30 a Rapid Voltage Change (RVC) is defined as “a quick transition in RMS voltage between two steady-state conditions, during which the voltage does not exceed the dip/swell thresholds [1].” Because of their intrinsically sudden nature, RVC-like events are generally hard to detect and to monitor. In fact, no clear criteria to set the detection thresholds...
Impedance plethysmography is a technique which allows the monitoring of respiratory activity through the measurement of variations in the trans-thoracic impedance. Provided the measurement system has enough sensitivity, the same technique can also detect heartbeats, thus adding cardiac activity monitoring capabilities. In this paper, a comparison is performed between 2-electrode and 4-electrode systems,...
Line Camera has been emerging as an effective approach to contactless measurement systems. Line cameras are preferred to area scan cameras in specific applications where the object to be scanned has one dimension much greater than the other two (e.g. train). In this paper, a line camera analytic model and its calibration procedure, are described. A significant part of the paper is dedicated to measurement...
Methods and algorithms of formation of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of parameters of objects of monitoring are offered. By cognitive machine graphics these algorithms form cognitive images as scientific graphic metaphors in consciousness of the user. Efficiency...
The current stage in the development of information systems is characterized by the use of multi-component distributed architectures and methods of intellectual processing and analysis of large amounts of heterogeneous data. At present, the problem of ensuring the reliability and safety of such systems has not been sufficiently investigated. The purpose of the work is to develop a method for computer...
Traceability is an integral part in maintaining global measurement equivalence, thus it is necessary to ensure that it is efficiently yet effectively executed. In fact, traceability is as important as a measurement itself. Traceability is often obtained through calibrating a device at a laboratory or national metrology institute that has an unbroken chain of comparisons with stated uncertainties starting...
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