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In the context of Internet of Things (IoT), the amount of data collected from physical objects is ever increasing. However, in the whole infrastructure there are several bottlenecks related especially to hardware limitations (low end processors on devices and communication means), but also time, therefore analyzing this data requires knowledge about the available computational resources. In this article...
The objective of the work leans on the development of an agent-based engine, part of a Service Oriented Architecture, that provides the mechanisms to receive, interpret and execute extensions of products/processes (as software). A novel methodology that uses Service Composition paradigm as base for development and specification of features used by the acting services, along with the use of specific...
The analysis of water piping system has been presented by several authors in the past and in recent years proposing several solution algorithms. Among the notable methods are the Hardy cross method, linear approximation method, Newton Raphson method and the hybrid method to mention but a few, to solve a system of partly linear, and partly non-linear hydraulic equations. In this paper, the authors...
The upcoming trend for mass-customisation and higher customer expectations are forcing industries on the one hand to shorten their product release cycles, and on the other hand to create products which are self-adapting to the need of the customers. Context sensitivity is a promising approach to achieve a high self-adaptability of such products, extended by services. The approach presented in this...
This paper presents an analysis of sentiment of foreign tourists to Bangkok, Thailand, using data mining approach through online social networks. The objective is to acquire information on sentiment of foreign tourists in order to improve and foster tourism industry of Bangkok. This paper has retrieved 10,000 datasets from Twitter in 2017. Such datasets were tokenized and filtered in order to obtain...
Increased competition and customer' expectations forces industries (1st) to react more quickly and agile to marked trends, (2nd) to shorten their product release cycles, and (3rd) to create innovative and intelligent products able to self-adapt to their owners' or licensee' requirements depending on the current context. This paper presents (1st) an overview of a novel ICT engineering platform for...
Feature selection is a key step in data analysis. However, most of the existing feature selection techniques are serial and inefficient to be applied to massive data sets. We propose a feature selection method based on a multi-population weighted intelligent genetic algorithm to enhance the reliability of diagnoses in e-Health applications. The proposed approach, called PIGAS, utilizes a weighted...
The penetration of production systems and common infrastructure with information and communication technologies (ICT) creates new systems, called Smart Grids in energy or Industry 4.0 in production. This offers unprecedented opportunities for flexible and customized production and distribution. However, these complex and interconnected systems need new approaches for operation. Assistance system similar...
Reverse Path Forwarding based multicasting used in Distance Vector Multicast Routing Protocol (DVMRP) has the major drawback of generating large number of duplicate and prune packets. Use of the concept of pseudo diameter reduces the number of duplicate packets. The reason is that pseudo diameter helps in the reduction of the scope of travel of a packet. In this work a new approach of multicasting...
Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the current mode of the system and enables one to build a model for each individual operating mode. Using these models in a multi-mode system, one may distinguish modes of the system and, furthermore, detect whether the current mode is a (normal or faulty) mode known from historical...
The electric vehicles can contribute to reducing electricity costs by providing their batteries as temporary energy storages. The paper presents a new mechanism of their implementation in systems with distributed energy resources. The method is based on individual contracts that facility company makes with the drivers of electric vehicles. The company that has own energy generation from photovoltaic...
For supporting interpretation, assessment and application of data mining models, explanation-aware methods are crucial. This paper presents an approach for explanation-aware feature selection and assessment using symbolic abstractions of time series. For that, we utilize the symbolic approximate aggregation (SAX) method for data abstraction to be implemented into data mining models. We investigate...
In this paper, we propose using an approach based on the system-level programming language SystemJ extended with service oriented features, called SOSJ, to design dynamic interoperable software systems. The approach abstracts and integrates the worlds of automation and robotics systems by using a simple service interface based on abstract objects within SOSJ. We demonstrate our approach in a real-life...
To achieve reliable operation of wind energy conversion technology, this ρ aper develops a robust observer-based fault tolerant control technique for wind turbine drive train systems in presence of simultaneous unknown inputs, faults and Brownian perturbations. Integration of several advanced techniques, namely, augmented approach, unknown input observer method, and linear matrix inequaity, is employed...
Industrial plant operators regularly observe a high number of alarms generated in a short period of time, a phenomenon which is referred to as alarm flooding. This causes plant downtime, not only because of the repair time but also by the time needed to identify the root cause of machine failure — which is difficult during an alarm flood. Therefore, diagnosis tools that perform root cause analysis...
Outlier detection is one of the most widely used technique to identify abnormal behavior in raw data. The sense of abnormal deviation mentioned here accounts not only for human made or system errors that naturally occur as part of the data but also as seldomly occuring events. In this paper, we propose a new algorithm called Grid Based Outlier Detection (GBOD) to find the hidden outliers in large...
Event correlation is the task of detecting dependencies between events in event sequences, e.g., for predictive maintenance based on log-files. In this work, a new data-driven, generic framework for event correlation is presented. First, we use a fast preliminary test statistic to determine candidate event type pairs. Next, the precise distribution of the time lag between those pairs is calculated...
This paper proposes a search control based loss minimization approach for direct torque control (DTC) of induction motor (IM) drive suitable for electric vehicle application. The proposed scheme directly regulates the stator flux level using an optimal stator flux reference generated by adaptive quadratic interpolation (AQI) to meet the desired torque demand. The search controller is implemented in...
A standardized Communication / Information Protocol is necessary for implementing the 4 upper digitalization layers of Industrie 4.0-compliant solutions. OPC UA is one of the leading and preferred technology. Currently, there are many different OPC UA implementations available on the market. This paper gives an overview of existing solutions and shows the results of an initial benchmarking based on...
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