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We present Geographic Information System model, which is developed on the basis of metasystem approach and it is focused on application as monitoring system of complex object. The model is described on the basis of set-theoretic approach, functions according to scenarios, integrates, processes and monitors the space-time and coordinate information. The problem of acquisition and reversible compression...
Cyber-physical systems - systems that incorporate physical devices with cyber components - are appearing in diverse applications, and due to advances in data acquisition, are accompanied with large amounts of data. The interplay between the cyber and the physical components leaves such systems vulnerable to faults and intrusions, motivating the development of a general model that can efficiently and...
This paper proposes a new framework for anomaly detection when collectively monitoring many complex systems. The prerequisite for condition-based monitoring in industrial applications is the capability of (1) capturing multiple operational states, (2) managing many similar but different assets, and (3) providing insights into the internal relationship of the variables. To meet these criteria, we propose...
Cloud services are gaining popularity with times. Service level agreement (SLA) serves a basic understanding between the clients and cloud service providers (CSP). Ensuring secured and adequate service is a basic need of the customers. In this work a set of compliance parameters for cloud service level agreement is identified. A generic rule base is designed to empower the process with an automated...
The article deals with the method for the assessment of the fiber-optic communication line reliability taking into account the effect of the optical fiber tension, the temperature influence and the built-in diagnostic equipment errors of the first kind. The reliability is assessed using the theory of Markov chains and probabilistic mathematical modeling. The reliability is assessed in terms of the...
Microseismic monitoring technology has broad application prospects in large-scale civil engineering safety monitoring fields, such as tunnels. However, due to the lack of a perfect localization method, the microseismic monitoring system has the large localization error at present. To solve this problem, firstly, we preprocess the chaotic microseismic signal, using power spectrum analysis method to...
This paper presents an observer-based motion control scheme for a single mobile robot to track and monitor a dynamic pollutant plume propagation in m-dimensional space. The spatiotemporal dynamics of the pollutant plume is modeled by an advection-diffusion partial differential equation (PDE), and the plume front is described by a level set with a prespecified threshold value. In the suggested control...
Monitoring the results of software reliability growth models (SRGMs) helps evaluate project's situations. SRGMs are used to measure the reliability of software by analyzing the relations between the number of detected bugs and the detected time to predict the number of remaining bugs within the software. For example, development managers apply a SRGM to the number of detected bugs and the detected...
The report is devoted to comparison of existing methods of detecting changes (structural breaks) in random processes designed to detect the appearance of bubbles in financial markets. The report considers and compares the estimates obtained by monitoring algorithms and posterior algorithms for the purpose of determining the existence and date of the “bubble”.
Aimed at abnormal score from evaluation experts, real data from Shanghai double-blind sampling system of graduate dissertation and thesis between 2013 and 2014 have been in depth analysis and mining. Some basic judgment rules of abnormal score are summed up, and monitoring model for abnormal score is proposed. By the least squares method and the multiple regression models, the equation of monitoring...
Condition monitoring of machinery has entered the big data era, while the existence of dirty data reduces the quality of the whole data. In order to recognize the dirty data included in machinery monitoring data, a new method is proposed in this paper. First, a feature named sampled power index (SPI) is designed to transform the dirty data recognition issue into the outlier recognition. Then the windowing...
In this paper, we improve the direction finding accuracy for shortwave fixed stations located in imperfect environment. A correction method of direction finding data is proposed based on least square algorithm. Firstly, we establish the mathematical model of the relationship between real azimuthal angles and errors according to the statistical features of direction finding data. Then we design model...
Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
This paper proposes a sensorless chatter detection method for a ball screw drive system used in milling, by introducing the mechanical energy factor (MEF). The MEF is an indicator for detecting self-excited chatter, based on the power factor theory used in electric systems, and monitors the phase difference between dynamic cutting force and displacement. By monitoring the MEF, the self-excited chatter...
The article deals with the possibilities of applying mathematical modelling and post-optimization analysis in the strategic planning tasks including identifying and coordinating the targets for social and economic development and justifying the mechanisms for managing development programs. An approach is proposed to restore the structure of private targeted preferences of participants in state development...
The main goal of this paper is to propose an effective approach for the early detection of nocturnal seizures from multi-signals gathered by an Armband. An inertial measurement unit and muscular activities acquisition sensors are integrated in the armband, and used to collect acceleration, angular velocity and electromyogram from the arm of the monitored patient. These signals are transmitted from...
Through calculations and analysis of the transmission loop of a circuit breaker, this paper establishes a non-linear mapping relationship between the rotational output of the spring operating mechanism in the transmission loop and the linear motion of moving contacts in the circuit breaker arc quenching chamber. It interprets the reason of why there is some error in routine mechanical property tests...
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...
An imitating model for monitoring the work of a workshop that executes several technological processes was developed. Model was developed with usage of probability theory methods, mathematical statistics, and the theory of random processes. The model visualizes a certain set of states of the executed operations belonging to the technological process and allows user to track the percentage of failure...
The paper considers the problem of change detection and diagnosis (CDD) in vibration analysis, from the point of view of challenges and solutions. In this framework, Matlab Toolbox VIBROTOOL is presented, implementing functions for change detection and diagnosis in vibration engineering. Compared to other toolboxes in the same domain, Matlab VIBROTOOL Toolbox promotes blind source separation and advanced...
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