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An Effective Self-test Scheduling for Realtime Processor based System
. V. N. Ramesh,B. Naresh Kumar Reddy,V. V. Murali Krishna,B. M. Kumar Gandhi,V. Shiva,M. Dronika Devi 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.3
Now a days Jobs are Scheduled in a single processor or more than one processor, a real time job is scheduled or executed based on requirements, An Successful task in embedded system ought to have constrained asset necessities: Memory, execution time and power utilization, these necessity are not generally simple to fulfil in real-time embedded system with hard task deadlines. In this paper we explore the effective time utilization, without influencing the deadline requirements of typical hard real time task ,there are no limitation on the new results each task can be periodic or sporadic ,with relative deadline which can be less than ,equivalent to or greater than its period, it is too fast , best-effort ,effective real time scheduling algorithm for a wide variety of job parameters.
QR code as speckle pattern for reinforced concrete beams using digital image correlation
Krishna, B. Murali,Tezeswi, T.P.,Kumar, P. Rathish,Gopikrishna, K.,Sivakumar, M.V.N.,Shashi, M. Techno-Press 2019 Structural monitoring and maintenance Vol.6 No.1
Digital Image Correlation technique (DIC) is a non-contact optical method for rapid structural health monitoring of critical infrastructure. An innovative approach to DIC is presented using QR (Quick Response) code based random speckle pattern. Reinforced Cement Concrete (RCC) beams of size $1800mm{\times}150mm{\times}200mm$ are tested in flexure. DIC is used to extract Moment (M) - Curvature (${\kappa}$) relationships using random speckle patterns and QR code based random speckle patterns. The QR code based random speckle pattern is evaluated for 2D DIC measurements and the QR code speckle pattern performs satisfactorily in comparison with random speckle pattern when considered in the context of serving a dual purpose. Characteristics of QR code based random speckle pattern are quantified and its applicability to DIC is explored. The ultimate moment-curvature values computed from the QR code based random speckled pattern are found to be in good agreement with conventional measurements. QR code encrypts the structural information which enables integration with building information modelling (BIM).
B. Murali Krishna,V. Guru Prathap Reddy,T. Tadepalli,P. Rathish Kumar,Yerra Lahir 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.24 No.6
Understanding the realistic behavior of concrete up to failure under different loading conditions within the framework of damage mechanics and plasticity would lead to an enhanced design of concrete structures. In the present investigation, QR (Quick Response) code based random speckle pattern is used as a non-contact sensor, which is an innovative approach in the field of digital image correlation (DIC). A four-point bending test was performed on RC beams of size 1800 mm x 150 mm x 200 mm. Image processing was done using an open source Ncorr algorithm for the results obtained using random speckle pattern and QR code based random speckle pattern. Load-deflection curves of RC beams were plotted for the results obtained using both contact and non-contact (DIC) sensors, and further, Moment (M)-Curvature (κ) relationship of RC beams was developed. The loading curves obtained were used as input data for material model parameters in finite element analysis. In finite element method (FEM) based software, concrete damage plasticity (CDP) constitutive model is used to predict the realistic nonlinear quasi-static flexural behavior of RC beams for monotonic loading condition. The results obtained using QR code based DIC are observed to be on par with conventional results and FEM results.