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Temperature Measurement of Photovoltaic Modules Using Non-Contact Infrared System
Jovanovic, Ugljesa,Mancic, Dragan,Jovanovic, Igor,Petrusic, Zoran The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.2
This paper presents temperature measurement of solar photovoltaic modules using the custom-made system composed of an infrared temperature sensor and a microcontroller. The obtained measurement results are processed, displayed and stored on a PC using the custom-made virtual instrument. The proposed system overcomes some of the problems related to the contact sensor application, and at the same time offers accurate readings and better flexibility. The proposed system is especially suitable for applications where the cost is a limiting factor in the choice of measuring system. The conducted analysis and the obtained results have shown an excellent accuracy of the proposed system in comparison to a high quality thermal imaging camera used as the reference instrument.
Zoran Bucevac,Radisa Jovanovic 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.3
Linear time-invariant discrete-time plant, with no restrictions on the form of the state equation andwith scalar control, is considered. The exponentially stabilizing state feedback control algorithm is developed byLyapunov’s second method leading to the variable structure system with chattering free sliding modes. Essentially,the control algorithm drives the system from an arbitrary initial state to a prescribed so-called sliding subspace S, infinite time and with prescribed velocity estimate. Inside the sliding subspace S, the system is switched to the slidingmode regime and stays in it forever. The proposed algorithm is tested on the real system in practice, direct current(DC) servo motor, and simulation and experimental results are given. Also, it is compared with another alreadyknown algorithm from literature.
Parametric Model Variability of the Proximal Femoral Sculptural Shape
Suzana Petrovic Savic,Branko Ristic,Zoran Jovanovic,Aleksandar Matic,Nikola Prodanovic,Nabil Anwer,Lihong Qiao,Goran Devedzic 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.7
In this paper, a method of parameterisation of a proximal femur model is presented. The created model retains all the anatomical and morphological features of a realistic model. The parametric model of the femur, the so-called master model, is defined by establishing a relation between appropriate femoral regions which extend along the parametrically described axis of the femur. An initial 3D model of the femur is segmented from the CT image and further parameterized to a master model with the potential for customization, i.e. for adaptation to patient-specific values using X-ray images, still maintaining precise anatomical consistency. The first step towards the femur customization is the contour extraction of different types of tissues represented in X-ray images. As medical images can be blurry, image processing was carried out and a Canny edge detector operator was applied. The numerical values of the parameters were determined by manual measuring of defined regions on an X-ray image. The variability testing was performed on 12 femurs. The proposed model can greatly contribute to preoperative planning, implant selection, as well as to the overall shortening of intervention time.