Water is a limited resource and essential for agriculture, industry and creatures existence on earth including human beings. Water quality monitoring is essential to control physical, chemical and biological characteristics of water. In addition, water quality monitoring can help with water pollution detection and discharge of toxic chemicals and contamination in water. A large number of inexpe...

The increasing trends toward the accurate identification of power quality disturbances (PQD) via (PQ) monitoring require an appropriate digital signal processing (DSP) technique and a robust classifier. To this end, Stockwell transform (ST), one most efficient feature extraction DSP tools, its several variants play utmost role in PQ assessment framework. Its time-varying spectral characteristic...

The paper discusses power and especially voltage quality issues in the smart grid environment. New demands that are facing the distribution network, by introducing the concept of intelligent networks (Smart Grids), are presented. Some examples of non-compliance of laws and practices in Serbia are presented as well, as the illustration of lack of strategic planning in the field. Through several ...

Power quality (PQ) monitoring is important for both the utilities and also users of electric power. The most widespread measurement instrument used PQ PQM (Power Quality Monitor) or PQA Analyzer). In this paper we propose usage PMU data parameters monitoring. We present a new methodology classification based on data. proposed tested with real measurements performed in distribution system using ...

Air quality in urban areas is a very important topic as it closely affects the health of citizens. Recent studies highlight that the exposure to polluted air can increase the incidence of diseases and deteriorate the quality of life. Hence, it is necessary to develop tools for real-time air quality monitoring, so as to allow appropriate and timely decisions. In this paper, we present uSense, a ...

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With the increasing of non-linear, burst or un-balanced load, power quality issues in the grid is becoming important. With more power quality monitors installed with higher sampling rates, an expanded size of power quality data brings difficulty to storage, transmission and analysis. In this paper, principal component analysis (PCA), which is a popular feature extraction algorithm in pattern re...