In this paper we introduce a class of granular evolving system modeling approach within the framework of interval analysis. Our aim is to present an interval-based learning algorithm which develops both, granular and ...
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This paper will chronicle the implementation of the offer of support for students to do applied research in the area of plug-in hybrid electric vehicles (PHEVs) by the area electrical power company into a working prog...
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This paper will chronicle the implementation of the offer of support for students to do applied research in the area of plug-in hybrid electric vehicles (PHEVs) by the area electrical power company into a working program in which both undergraduate and graduate students have participated. The local electrical power distribution and transmission company, CenterPoint Energy, developed an interest in plug-in hybrid electric vehicles (PHEVs). They contacted the administration of the College of Technology at the University of Houston to ask if there was an interest in student research projects in PHEVs, and the problems associated with implementing an infrastructure to serve them. The electrical Power engineering Technology program faculty was very interested in the power company proposal since this would be an opportunity for students to learn by working on real world problems. CenterPoint Energy would provide a stipend for the undergraduate students taking special problems courses in PHEV topics, which would be under the guidance of one of the authors, an electrical Power engineering Technology faculty member. In addition the CenterPoint Energy would provide the PHEV to study, the necessary data gathering equipment, and advertise the involvement of the College of Technology and CenterPoint in the project. The CenterPoint Representative wanted the product from undergraduate student projects to be a presentation by the students on their research projects to a group of employees of the Power Company. The graduate research activity is being supported by funding a graduate research assistant position for one of the authors who is involved in smart-grid research. The expected outcome of the graduate research component is a contribution of the student to the research results that will be disseminated in technical conferences and journal papers. The undergraduate project activity began fall semester 2008 with two students studying the cost of operation of the company hybrid an
Distinguishers have been used in Supervisory Control Theory (SCT) of Discrete Event Systems, as a way to simplify modeling tasks. Approximations complement this approach with an alternative to also reduce synthesis ef...
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Formal education in computer architecture rests upon the integration of numerous specialized courses. One such course, a new laboratory concerning contemporary, register-transfer level digital design, is described. De...
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Power transformer plays a crucial role in the power networks. Most of the transformer malfunctions was due to failure in the insulating systems. The utilities keen on the contentious operation of the power network, so...
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Power transformer plays a crucial role in the power networks. Most of the transformer malfunctions was due to failure in the insulating systems. The utilities keen on the contentious operation of the power network, so early detection of the transformer faults avoiding the undesirable outage of the transformer from the service. The insulating paper state is an indication to the transformer health and aging of it may lead to failure of the transformer, so some periodic and routine test must be performed on the insulting oil to get information about the insulating paper condition. The value of the degree of polymerization (DP) is a key of the insulating paper state. Various recommended tests such as the dissolved gases (DGA), breakdown voltage (BDV), oil interfacial tension (IF), oil acidity (ACI), moisture content (MC), oil color (OC), dielectric loss (Tan δ), and furans concentration specifically (2-furfuraldehyde (2-FAL)) were carried out to correlate between these variables and the DP and then to the insulating oil state. The collected data from these tests were used to supply XGBoost/LightGBM to build artificial intelligence model to predict the insulating paper state. The results indicated that the great ability of the proposed model to predict the insulating state with high accuracy. Of these various configurations for these two classification models, one achieved perfect prediction accuracy (100%) of the insulating paper state prediction accuracy. The other configurations showed accuracy values from 1.0 down to 0.955.
Recurrent Neural Networks (RNNs) are commonly used in data-driven approaches to estimate the Remaining Useful Lifetime (RUL) of power electronic devices. RNNs are preferred because their intrinsic feedback mechanisms ...
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Precision farming is an optimized management farming scheme that seeks to link the real-time needs of crops with the nutrients to be administered. Sensing platforms that can monitor the physiological status of crops i...
Precision farming is an optimized management farming scheme that seeks to link the real-time needs of crops with the nutrients to be administered. Sensing platforms that can monitor the physiological status of crops in situ are key to enabling timely and localized interventions. However, the underdevelopment of plant sensing strategies limits the potential of precision farming. In this Review, we discuss the challenges and advancements in phyto-monitoring, focusing on strategies that are applicable to a wide range of plant species and suitable for field deployment. We explore species-agnostic sensors, including optical and electrochemical sensors, whose operation is based on principles that are widely applicable to all plant species. These platforms enable real-time monitoring of the physiological state of crops by assessing key biomarkers, such as plant hormones, and metabolites such as salicylic acid and reactive oxygen species. Evaluating these systems, we conclude that an integrative sensing approach is necessary to compensate for the limitations of the individual methods and can provide a holistic view of crop health. Cost-effective species-agnostic sensors are thus needed to provide information that can be used to minimize the resource footprint of farming and meet the growing global demand.
This paper presents the algorithm and very-large-scale integration (VLSI) architecture of a high-throughput and highly efficient independent component analysis (ICA) processor for self-interference cancellation (SIC) ...
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