Kasaraneni Purna Prakash

Koneru Lakshmaiah Education Foundation | KLU · Computer Science and Engineering

In this work, we employed a device that utilizes Raspberry Pi 4, a camcorder constituent, and a set of audio apparatus to provide real-time assistance to patients during rehabilitation exercises. A person’s lifestyle and physical activity explicitly influence their cerebral health. Exercise routines are crucial for maintaining a proper hormone leve...

Smart homes are at the forefront of sustainable living, utilizing advanced monitoring systems to optimize energy consumption. However, these systems frequently encounter issues with anomalous data such as missing data, redundant data, and outliers data which can undermine their effectiveness. In this paper, an artificial neural network (ANN)-based...

The recent advancements in neural network architectures, particularly transformers, have played a crucial role in the rapid progress of Large Language Models (LLMs). LLMs are trained on many parameters. By training these parameters on vast amounts of text data, LLMs can learn to generate reactions to a wide variety of prompts. These models have ena...

Over the years, a rapid evolution of smart grids has been witnessed across the world due to their intelligent operations and control, smart characteristics, and benefits, which can overcome several difficulties of traditional electric grids. However, due to multifaceted technological advancements, the development of smart grids is evolving day by d...

Cardiovascular diseases (CVD) are a prominent source of death across the globe, and these deaths are taking place in low-to middle-income nations. Due to this, CVD prevention is a pressing issue that has already been the subject of extensive research. Innovative methodologies in machine learning (ML) can have a greater impact on the diagnosis of CV...

Now a day's cloud computing is more efficient in current world technologies. Cloud computing provide Software as a Service, Platform as a Service and infrastructure as a Service. In this client has to pay money for the applications or software`s for limited usage and limited period (it may be number of days or number of months). Here we are proposi...

The smart home culture is rapidly increasing across the globe and driving smart home users toward utilizing smart appliances. Smart television (TV) is one such appliance that is embedded with smart technology. The users of smart TV have their interests in the programs. However, automatic recommendation of programs for user-to-user is still under-re...

Addressing data anomalies (e.g., garbage data, outliers, redundant data, and missing data) plays a vital role in performing accurate analytics (billing, forecasting, load profiling, etc.) on smart homes’ energy consumption data. From the literature, it has been identified that the data imputation with machine learning (ML)-based single-classifier a...

Over the years, the automation of traditional power grids has been taking place to overcome the difficulties such as blackouts, outages, demand-side management, load profiling, enhancing customer participation, etc. This automation enables the traditional grids to be transformed into smart grids. Smart homes/buildings are key sub-categories of smar...

The evolution of smart homes is very rapid and the benefits, comfort, as well as flexibility in controlling energy consumption, attract the development smart home culture across the globe. The energy consumption data collected from these smart homes play a major role in energy pricing, understanding consumers’ behavior, demand-side management, etc....

High-quality data are always desirable for superior decision-making in smart buildings. However, latency issues, communication failures, meter glitches, etc., create data anomalies. Especially, the redundant/duplicate records captured at the same time instants are critical anomalies. Two such cases are the same timestamps with the same energy consu...

Smart homes are considered to be the subset of smart grids that have gained widespread popularity and significance in the present energy sector. These homes are usually equipped with different kinds of sensors that communicate between appliances and the metering infrastructure to monitor and trace the energy consumption details. The smart meters tr...

Smart meter captures the energy consumption data at predefined rates and stores it in a file format specified by the utilities. The data of a day should be properly traced into respective file with correct file naming. Any deviation in this process is called anomalous tracing, which affects the accuracy of analytics. Usually, the anomalous tracing...

Now a day's large amount of data is going to be collected from the sensors and other data received devices. The forms of data are image, video or any raw data. Such that we have a large amount of data to be stored at the terminal end. So that the data should be converting from one from to another form. There the conversion of data should be underst...

In the era of data mining, cluster analysis is very needy technique in engineering applications. So in the jargon of clustering techniques, k means is one among the most effective and efficient algorithm. K means algorithm varies by selecting the initial centriods, distance measures and mean calculations. As the dataset size increases the algorithm...

The increase of smart home culture for improved efficiency and comfort in the present energy sector requires paying much attention to big data analytics. Here, the data refers to the energy consumption readings that are continuously captured through smart meters and transmitted to the central computing centres. The entire analysis and decision maki...

Smart grids evolution is ramping up in the global energy scenario by offering deregulated markets, demand-side management, prosumer culture, demand response, contingency forecasting, outage management, etc., functionalities. These functionalities help to manage the grid effectively by taking informed decisions timely. Further, the progressive devel...

Every engineering and science field facing “big” data problem. Big data is one of emerging field in data science research. Different people can do as many different things with big data. So in this paper we tried to present the voyage of big data in vivid by means of describing definitions, challenges and trends in big data field. Big data is often...

A privacy-preserving location monitoring system for wireless sensor networks is adopted. Two in network location anonymization algorithms are considered, namely, resource and quality-aware algorithms that aim to enable the system to provide high-quality location monitoring services for system users, while preserving personal location privacy. Both...