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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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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This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural ***,the system performance can be improved by replacing the classic allocat...
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This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural ***,the system performance can be improved by replacing the classic allocation matrix,without using the aerodynamic inflow equations *** network training is performed offline,which requires low computational *** target system is a Parrot MAMBO drone whose flight control is composed of PD-PID controllers followed by the proposed neural network control allocation *** a quadrotor is particularly susceptible to the aerodynamics effects of interest to this work,because of its small *** compared the mechanical torques commanded by the flight controller,i.e.,the control input,to those actually generated by the actuators and established at the *** was observed that the proposed neural network was able to closely match them,while the classic allocation matrix could not achieve *** allocation error was also determined in both ***,the closed-loop performance also improved with the use of the proposed neural network control allocation,as well as the quality of the thrust and torque signals,in which we perceived a much less noisy behavior.
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