- Advanced DC-DC Converters
- Multilevel Inverters and Converters
- Silicon Carbide Semiconductor Technologies
- Microgrid Control and Optimization
- Power System Reliability and Maintenance
- Power Quality and Harmonics
- Wireless Power Transfer Systems
- Optimal Power Flow Distribution
- Induction Heating and Inverter Technology
- AI in cancer detection
- Photovoltaic System Optimization Techniques
- Radiomics and Machine Learning in Medical Imaging
- Electric Power System Optimization
- Medical Imaging and Analysis
- Magnetic Properties and Applications
- Brain Tumor Detection and Classification
- Railway Systems and Energy Efficiency
- Antenna Design and Analysis
- Risk and Safety Analysis
- Electricity Theft Detection Techniques
- Medical Image Segmentation Techniques
- Occupational Health and Safety Research
- Energy Load and Power Forecasting
- Energy Efficiency and Management
- Power System Optimization and Stability
Chaitanya Bharathi Institute of Technology
2014-2024
Osmania University
2016
A new optimization technique is proposed for solving problems having single and multiple objectives, with objective functions such as generation cost, loss, severity value. This algorithm was developed to satisfy the constraints, OPF practical ram rate limits. Single multi-objective were implemented hybrid fruit fly-based artificial bee colony (HFABC) non-dominated sorting (NSHFABC) algorithm. HFABC a model of fly ABC algorithms. Selecting user choice-based solution from Pareto set by...
In this paper, a generalized reduced-carrier modulation technique is proposed for an asymmetric source configuration of single-phase CHB-MLI topology. To achieve higher level output with fewer modules and isolated DC sources, reported in the literature. Basically, trinary (1:3:9) quasi-linear (1:2:6) configurations CHB-topology may offer 27 19-levels respectively. specified output, shifted PWM techniques require many numbers high switching frequency carrier signals states to decoder...
For single phase Cascaded H-Bridge (CHB)-Multilevel Inverter (MLI) topology, a generalized modulation technique without carrier signals have been implemented in this paper. When considering symmetric source arrangement, the CHB architecture typically necessitates greater number of cells/units and segregated DC sources to provide higher levels output increasing cost need. An asymmetric arrangement with fewer modules is described literature produce level output. The CHB-topology delivers 27 19...
In this paper, different control strategies for both variable-frequency and constant-frequency operations of LLC resonant converters are reviewed. converter provides no-load regulation unlike to a conventional series converter. The main advantages its higher power density efficiency within the wide input output load range. Considering high factor tank, voltage ripple can be reduced. Generally all kinds operated at frequencies ranging from kHz MHZ which results in reduction due increased...
In this paper, a Nearest Level Control (NLC) scheme for Reduced Switch Count (RSC) cascaded half-bridge based Multilevel DC-Link (MLDCL)inverter topology with three different source configurations (1:1:1:1, 1:2:3:4 and 1:2:4:8) have been explained clearly. For generating particular level in the inverter output, NLC technique has utilized. The is generally low switching frequency thereby losses are greatly reduces it suitable any kind of topology. MLDCL consists 8 unidirectional switches...
In this paper, an asymmetrical Multilevel Inverter (MLI) topology with two different source configurations have been explained. The proposed contains 8-unidirectional switches, 1-Bidirectional Switch (BS) and 2-dc sources. Here, BS is connected in common emitter configuration mode thereby requirement of gate driver circuit become only one. nothing but cascade connection one H-Bridge inverter five level T -type inverter. It provides less per unit Total Standing Voltage (TSV) it the...
Recent developments in deep learning have made it possible to apply medical image segmentation. Deep convolutional neural networks (DCNN s) are a type of model used for segmenting images. This approach has been found be effective accurately images, and better results faster segmentation times than traditional methods. DCNN s use combination layers, pooling activation functions detect patterns the input images learn set features from it. advantage having fewer parameters compared other makes...
Meeting global energy demands has been a major challenge due to the shortage of primary resources. Adding renewable resources grid become increasingly popular. During peak hours demand, sun's irradiance is strong enough generate significant amount energy. This paper will design photovoltaic generating system that harnesses solar using latest technological advancements available. A like this one an ideal solution addressing rising and reducing carbon footprint. Renewable sources can minimize...
Hostile switch mastering is an effective tool to help enhance the robustness of surgical segmentation in endoscopic pix. Transfer getting know intends understanding from a source domain version's overall performance goal area. In endoscopy, instrument distinguishes between contraptions and anatomical structures photo. Because broad type units conditions encountered picas, transfer can bridge space area, allowing you improve performance. Opposed gaining knowledge has been used efficaciously...
This paper provides a progressed convolutional neural community (CNN) version for medical picture segmentation. It specializes in improving the accuracy and speed of today's segmenting scientific photos modern semantic segmentation first-rate present-day clinical photos. Modern is improved by introducing pre-processing layer, residual connection, attention module, up sampling layer to CNN. The stepped-forward overall performance state-of-the-art pace achieved through dual-project...
Performance Analysis of Pulse Analog Control Schemes, predominantly Pulse-Width Modulation (PWM) and Pulse-Position (PPM) for LLC resonant DC/DC converter suitable in portable applications is addressed this paper. The analysis done closed loop performance, frequency domain primary secondary side conduction losses soft commutation using PSIM 6.0 software observed that PPM scheme provides better performance at high input voltage with a good selectivity over wide range line load variations....
This Paper proposes a Novel and Modified Voltage Oriented Control (M-VOC) strategy of an Active Front-End (AFE) Rectifier that can give unity power factor at input side regulated DC voltage output with reversible/bidirectional flow. The proposed rectifier M-VOC find its place in applications like Wind energy conversion systems, load for electronic equipment, adjustable AC drives. Simulation Analysis is done on this MATLAB/ Simulink platform the verification validity system. gives good...
Abstract: This paper discusses the importance of battery management systems (BMS) and charge (SOC) development in electric vehicles (EVs). The BMS is crucial for ensuring safety, efficiency, longevity batteries used EVs. reviews methodologies design, role SOC performance, impact these on overall performance vehicles. findings indicate that effective accurate estimation are essential optimizing life enhancing vehicle
Background: Customers expect quality, uninterrupted power with cost-effective electricity in the latest trend. However, outages, severe storms, old infrastructure, and cost pressures can lead to ambiguity generation transmission. To improve line transmission capability, right flexible AC systems (FACTS) device may save millions of dollars. Methods: In this study, a FACTS controller named Optimal Generalized Interline Power Flow Controller (OGIPFC) was developed. Furthermore, for...
Accurate Cardiac Arrest Risk Forecasting (ACARF), with Ensemble studying, is a predictive analytics method that may assist clinical experts in predicting the dangers of cardiovascular illnesses for their patients. This approach combines multiple knowledge algorithms into an ensemble can, as it should be, assess man or woman's danger cardiac arrest, thereby supporting personalized care. ACARF uses extended function set to become aware information maximize its effectiveness. It includes...
Generative hostile networks (GANs) have emerged as a practical approach for synthesizing unusual clinical pictures analysis. GAN s encompass two distinctive neural networks, generative and discriminative, educated simultaneously to generate sensible pics. produce synthetic snapshots with chest X-rays CT scans, even discriminative apprehend real from images. This method has been used accurate anomalies in medical photographs that can correctly help may reduce the need massive datasets of...
A fundamental element of power-system planning is estimating electricity demand at the national level. However, given residential sector's trend rapidly fluctuating energy consumption, it's challenging to achieve these targets in sector, which main source demand. While deep learning methods have lately demonstrated success a variety time series studies, its relevance forecasting monthly household has yet be thoroughly investigated. The model for this paper used long short-term memory (LSTM);...
In this paper, an asymmetric source configuration of Multilevel Inverter (MLI) topology has been proposed. It consists eight unidirectional switches, two bidirectional switches and four isolated DC sources. By considering 1:5 1:4 configurations, the inverter produces 25-level 21-level outputs respectively with same switching action. For producing negative voltage levels, there is no requirement separate backend H-bridge inherently both positive levels. The main advantage that in every state,...