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This paper presents a contextual anomaly detection method and its use in the discovery of malicious voltage control actions in the low voltage distribution grid. The model-based anomaly detection uses an artificial neural network model to identify a distributed energy resource's behaviour under control. An intrusion detection system observes distributed energy resource's behaviour, control actions...
Audio/visual recognition and retrieval applications have recently garnered significant attention within Internet-of-Things (IoT) oriented services, given that video cameras and audio processing chipsets are now ubiquitous even in low-end embedded systems. In the most typical scenario for such services, each device extracts audio/visual features and compacts them into feature descriptors, which comprise...
Based on unified data expression model of agricultural data lacking with the common management data, and inconsistent problems of agricultural data in the process of the management and use, the establishing method of the agricultural data integration model based on ontology is presented in this paper. First, the common management data structure of agricultural production institutions is analyzed,...
Considering the problem that accuracy, stability, real-time performance and resources occupation of the positioning system in actual production are difficult to be met together, this paper proposes a positioning algorithm for coal mining staff based on random forests, and also implements the algorithm in the smart phone. By simulating the production environment, we get a quantity of test data and...
Most DEA models were initially considered only for crisp desirable inputs and outputs, but in the real world data have imprecise value, fuzzy concept is too important as imprecise and undesirable data. Moreover, the decision making units may have been some inputs and outputs index such undesirable data. Therefore, in this study, we introduce a method to evaluate revenue efficiency of DMUs when the...
Petroleum Cyber-Physical System (CPS) marks the beginning of a new chapter of the oil and gas industry. Combining vast computational power with intelligent Computer Aided Design (CAD) algorithms, petroleum CPS is capable of precisely modeling the flow of fluids over the entire petroleum reservoir and leveraging the massive field data remotely collected at the production wells. It provides field operators...
Companies and organizations are acutely admitting the discernment that business itself can be the driving force in developing new innovations and competitive strategies so that the critical and sustainable factor is whether they have it or not and that is one of the substantial factors in of the entity existence. In this research, concerning the enormously appearing and evaporating industries can...
We discuss copulas for incorporating dependence in the input distributions to a simulation model. We start by motivating the need for incorporating dependence in the primitive inputs to a simulation. Copulas are then introduced as a convenient and flexible model to incorporate dependence. We rigorously define copulas, introduce some of their basic properties, illustrate popular copula families, and...
The use of discrete-event simulation (DES) in the construction and manufacturing industry has been increasing significantly over the past few decades. However, DES at present is mainly utilized during the construction planning phase as a planning tool, and it still remains a challenge to apply simulation during the execution phase for the purpose of construction control without an automated real-time...
The applications hosted in a datacenter share more than just servers; they also share electrical circuits. Datacenter managers provision the power capacity of these circuits to hosted applications, often based on their peak power needs. In this work, we studied the actual and peak power needs of 3 real datacenters, using data from 1) hardware manufacturers and 2) actual, observed power needs to estimate...
In this paper, the trailing suction hopper dredger dredging production is used to be an optimization objective. By analyzing the impacts of dredging operation behaviors and system uptime factors, an artificial neural network algorithm for parameter optimization of dredging operations is proposed. Based on the field construction parameters of the trailing suction hopper dredger, the method integrates...
Effective model-driven engineering of complex systems requires to appropriately describe different specific system aspects. To this end, efficient integration of different heterogeneous modeling languages is essential. Modeling language integaration is onerous and requires in-depth conceptual and technical knowledge and effort. Traditional modeling lanugage integration approches require language engineers...
Yield estimation is an indispensable piece of information at the onset of high-volume production of a device. It can be used to refine the process/design in time so as to guarantee high production yield. In the case of migration of production of a specific device from a source fab to a target fab, yield estimation in the target fab can be accelerated by employing information from the source fab, assuming...
Solar photovoltaic (PV) energy has grown significantly during the last years. However, despite of the increase in installed capacity penetration, this energy source still arises important concerns due to the variability of power production. The short-term effects such as cloud shadowing and supply interruptions, as well as long-term effects such as dust accumulation, seasonal variation and ageing...
Glutamate and dopamine hypothesizes are known in the pathophysiology of schizophrenia. Some recent experiments suggest that there is an interaction between them. We proposed a mathematical model for some of the abnormalities of schizophrenia in the synaptic level. First, we developed a healthy single tripartite synapse and after that the model according to the schizophrenia was impaired. The tripartite...
In sodium aluminate solution evaporation process for alumina production, the measurement data are not accurate and contain outliers, which makes it difficult to identify the dynamic and the steady-state of the process. Therefore, an adaptive polynomial sliding filter multivariate steady-state detection method based on outliers identification is presented in this paper. Firstly, based on the analysis...
This article employed modeling analysis of flower production process with Petri Net, which based on the analysis of production logistics system of flower production enterprises, using Witness simulation software to study the flower production process at the same time. The article found some existing problems of the flower production logistics system through the simulation, and put forward several...
First order fuzzy time series (1st order FTS) is one of popular time series forecasting models. Since employing the first lag variable and using fuzzy logical relationship to derive the forecasting value, 1st order FTS is often unsuccessful in analyzing trend time series. On the other hand, moving averages can be used to quickly identify the direction of trend by smoothing the data. However, moving...
New demands, coming from the industry 4.0 concept of the near future production systems have to be fulfilled in the coming years. Seamless integration of current technologies with new ones is mandatory. The concept of Cyber-Physical Production Systems (CPPS) is the core of the new control and automation distributed systems. However, it is necessary to provide the global production system with integrated...
During the development of production plants, powerful tools (e.g. for CAD, CAE, or simulation) are used. The resulting engineering data represent the basis for the development of the corresponding HMI. However, this development is usually still performed manually to a great extent. Therefore, this paper describes a model-based approach for the integrated design of HMIs for production plants. Beginning...
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