Smart Eating: A Machine Learning Approach to Personalized Calorie Consumption Prediction 15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Solar Power 2.0: Futuristic Technologies Paving the Way for Green Energy Evolution 15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Detailed Review of Chronic Kidney Disease Yesubabu Kakitapalli, Janakiram Ampolu, Satya Dinesh Madasu, M.L.S. Sai Kumar Kidney Diseases, 2020 <b><i>Background:</i></b> Nephropathy problems in the Udhanam region of Andhra Pradesh in India have motivated researchers to investigate the various factors related to chronic kidney disease (CKD). Initially, studies came across the markers of identification of CKD, i.e., glomerular filtration rate (GFR) and albumin creatinine rate, as global markers of identification. Cystatin C (Cys C) and its reciprocal (1/Cys C) are used to calculate GFR. This is a very easy method compared to the more accurate methods such as radiolabelled tracer clearances, which are invasive, may involve radiation, and require several hours to perform, e.g., 99-diethylene triamine penta-acetic acid (<sup>99m</sup>Tc-DTPA) and <sup>51</sup>Cr-EDTA. This article provides the causes (or risk factors), symptoms, and complications of CKD in a clear manner such that even common people can easily understand. Once a patient is detected and proved to be affected by CKD then the patient as well as the caretakers, including doctors, must follow some constraints. Thereby it is possible to prevent CKD progression in the patient. Modern methods are needed to prevent the pathogens which are responsible for CKD. <b><i>Summary:</i></b> With the help of various engineering techniques one can easily design controllers to assess as well as to prevent CKD permanently. The easiest procedure for identifying CKD is to screen people. Current recommendations suggest screening of individuals with diabetes, hypertension, cardiovascular disease, and family history of kidney diseases in the course of routine health check-ups. Much work has been done in medical sciences in the area of CKD, but there is still scope for further research. From the recent studies, advanced tools such as data mining, etc., are considered to be the current trend in the area of CKD. <b><i>Key Message:</i></b> From this article, the authors propose that patients who are already affected by urinary tract infection, acute kidney injury, and a family history of CKD should be examined via some basic tests for the presence of CKD.
AGC of a two area nonlinear power system using BOA optimized FOPID+PI multistage controller Deepak Kumar Lal, Ajit Barisal, Satya Dinesh Madasu 2019 2nd International Conference on Advanced Computational and Communication Paradigms Icaccp 2019, 2019 The work presents automatic generation control (AGC) of a two region interconnected thermal power system with nonlinearities, for example, generation rate constraint (GRC), generation dead band (GDB) and time delays. The system pinned to step load perturbation (SLP) of 0.1 per unit in area-1 which need priority to design the optimal controller by using novel butterfly optimization algorithm (BOA). The results show that BOA is more efficient than others. Recently, fractional order (FO) controllers are gaining popularity. These controllers provide wider control flexibility for system dynamics and have good disturbance rejection capability than PID controller. The present work proposes a new FOPID+PI multistage controller for AGC. The execution of the proposed controller is compared with that of PID and FOPID controllers.
A strawberry algorithm based automatic generation control of two area multi source interconnected power system Satya Dinesh Madasu International Journal of Mechanical Engineering and Robotics Research, 2018 A novel strawberry algorithm (SBA) is proposed for tuning the parameters of a proportional–integral– derivative (PID) controller in a two-area multisource interconnected system, which is a combination of reheat thermal, hydro, and gas turbine power plants. The parameters of the controller are optimized using the SBA through the minimization of the Integral of Time multiplied Absolute Error (ITAE). An ancillary flexible AC transmission system, such as the Unified Power Flow Controller (UPFC), and a storage energy device, such as the Redox Flow Battery (RFB), are embedded in the proposed system in order to analyze its performance. Comparison of the simulation results of the SBA with the differential evolution algorithm (DEA) under the loading condition shows that the proposed algorithm performed well in damping the tie-line oscillation and stabilizing the frequency of the system.
