Kgs Venkatesan

• B.Tech (cse-JNTU Hyderabad-INDIA Ratified Staff), M.Tech, Ph.D - Cse, MCSI MIAE Professor /AI&DS, SSCET, INDIA, +91
• Professor at MEGHA Institute of Engineering and Technology for Women

Perspective view - Novelty resides in the shape and configuration of the "INTERACTIVE CLASS ROOM MONITORING SYSTEM" as illustrated. No claim is made by virtue of this registration is respect of any mechanical or other action of any mechanism whatever or in respect of any mode or principle of construction of the article.

This paper explains the ways through which new technologies enhance the research techniques in biological sciences namely, pan-omics, gene regulation analysis and biotechnology solutions. It also discusses recent advancements in omics technologies and gene editing including aspects of agriculture, health and environmental impacts. Promising insight...

Customers are increasingly attracted to the quality of service (QoS) provided by organizations. However, the current era is evidencing higher competition in providing technologically advanced (QoS) to customers. Nonetheless, efficient customer relationship management systems can be advantageous for the organization in terms of gaining more customer...

This paper looks into the potential of deep learning algorithms applied to predict the effects of chemical pollutants on biodiversity, especially in aquatic ecosystems. "Machine learning models explored were Random Forest, Support Vector Machine, Neural Networks, and Gradient Boosting." The environmental data analysis used was applied to four machi...

The selective laser melting (SLM) process is one type of additive manufacturing (AM) that has gained significant traction in the industry for producing metal alloys as it offers increased geometric flexibility. AM's considerable benefit is its ability to create lightweight, durable, and intricate forms. The study used a design of experiment (DOE) t...

This Invention presents an advanced image and video compression system that combines hybrid neural networks ( Vsrational Autoencoders, Generative Adversarial Network, and Transformers) with quantum computing and edge computing for enhanced efficiency and scalability. The system compresses data by encoding it into a latent space, reconstructing high...

Its about Data Science in detail

Its about Network Science using Python in details

To maximize efficiency in water pumping applications, we present a Smart Pumping System (SPS) that incorporates a state-of-the-art Energy Efficiency Control Algorithm (EECA). The EECA is designed to optimize energy usage without sacrificing system performance by automatically adjusting pump operation parameters using real-time data and predictive m...

The prevalence of cardiovascular diseases (CVDs) continues to be major public health concern worldwide, necessitating innovative approaches for early detection and management. This study proposes an Internet of Things (IoT) architecture augmented with machine learning algorithms for the prediction of cardiovascular disease risk. A comprehensive dat...

NITTR, Chendigarh, Encouraging and support the academician, researchers, and scholars to work on innovative research and technology to deliver outstanding quality research that would result in our country to be a leader due to the development and success in education

This paper will introduce and apply the Object Detection and Tracking System (ODTS) for Object Detection and Conventional Object Tracking algorithm to a well-known deep learning network, the Faster Regional Convolution Neural Network (Faster R-CNN), for automatic detection and monitoring of unexpected events on CCTVs in tunnels, which are likely to...

Over the past few years, the healthcare industry has seen a dramatic increase in the use of intelligent automation enabled by AI technology. These developments are made to better the standard of medical decision making and the standard of treatment given to patients. Fuzzy boundaries, shifting sizes, and aberrations like hair or ruler lines all pro...

This study automatically categorises photographs using Machine Learning (ML). ML has a feature extractor and classification module. It can retrieve certain picture characteristics but not unique ones for validation. ML automatically identifies authorised application attributes. Many deep learning approaches involve convolutional neural networks. A...

On a global scale, lung cancer is responsible for around 27% of all cancer fatalities. Even though there have been great strides in diagnosis and therapy in recent years, the five-year cure rate is just 19%. Classification is crucial for diagnosing lung nodules. This is especially true today that automated categorization may provide a professional...

31.07.2023Abstract: The rapid development of the underlying infrastructure of the internet has permitted the widespreadacceptance of a number of emerging technologies that have far-reaching ramifications for current society. Asa result of the expansion of the Internet of Things, several new networking protocols and upgrades have beencreated and imp...

The rapid development of the underlying infrastructure of the internet has permitted the widespread acceptance of a number of emerging technologies that have far-reaching ramifications for current society. As a result of the expansion of the Internet of Things, several new networking protocols and upgrades have been created and implemented. On top...

The purpose of a content-based recommendation system is to rank a set of results by how closely they match the user's query. These days, virtually every online marketplace has some kind of recommendation system in place to steer customers to more goods and services they might enjoy. In this piece, we'll go through how we used Generative Adversarial...

The detection and categorization of brain tumours is now possible because to new technology. The MRI images of individuals who have been diagnosed with Astrocytoma are analyzed by the system, which makes use of an artificial neural network, in order to identify tumour blocks or lesions also to classify the type of tumour. These approaches are descr...

The field of medical imaging is critical for accurate diagnosis and treatment planning. However , the complexity and volume of data produced by modalities like X-Ray, Computer Tomography (CT), and Magnetic Resonance Imaging (MRI) pose significant challenges. Convolutional Neural Networks (CNNs) have demonstrated remarkable capability in image analy...

The rapid development of wearable sensor technology and the integration of Internet of Things (IoT) in healthcare have paved the way for personalized and pervasive healthcare solutions. This research aims to explore the potential of wearable sensors and IoT integration in revolutionizing healthcare by enabling personalized monitoring and interventi...

This paper will explain why it is vital to adopt sustainable business management to successfully manage global success. As we have noticed in the past 20 years the environment of business has been turned upside down as a result of the interaction of globalisation, emerging technologies, and increased transparency. With regard to one particular aspe...

Clinical benefits experts are currently adopting Web of Things (IoT)-based wearable development to simplify the search and therapy processes. There are now billions of devices, sensors, and cars that are connected to the Internet. Recently, computerised attackers have become increasingly interested in clinical benefits data. Decentralisation might...

The following paper is about the role of the blockchain-based management process in the working of various businesses and its impact on the business environment. The paper will be a secondary study of the existing papers and documents that have both the advantages as well as disadvantages of the blockchain-based process that has been used in the ma...

This paper will explain why it is vital to adopt sustainable business management to successfully manage global success. As we have noticed in the past 20 years the environment of business has been turned upside down as a result of the interaction of globalisation, emerging technologies, and increased transparency. With regard to one particular aspe...

The impact of blockchain technology in the accounting and auditing business has been demonstrated in the project. The blockchain method has been understood and the basic concept of the technology has been addressed. There are some key components that are used in the implementation of the technology that should be described in the project as well as...

In this paper, analysts will review the current status of exploration on AI approaches for expecting Parkinson's sickness utilizing enormous data. Further investigation will discuss the various types of information sources used, the various machine-learning techniques utilized, and the presentation of these models in anticipating Parkinson's diseas...

Indian Space Research Organisation (ISRO) has developed navigation with Indian constellation (NavIC). Four geosynchronous and three geostationary satellites make up the NavIC satellite constellation. Numerous elements have an impact on the navigation system. One such issue that contributes to tracking mistakes caused by geostationary satellites is...

The proposed invention is a speech recognition system that utilizes artificial intelligence and machine learning techniques to accurately transcribe spoken language in real-time. The system consists of a neural network engine trained on a dataset of spoken language, a training module, a natural language processing module, and a user interface. The...

Employees are the most important assets of an organisation and evaluation of the employee performance is essential to predict how much profit the organisation will gain. Therefore, Human Resource Management recruits and determines employee performance by considering several factors, theories and practices. Traditionally, normal technologies were in...

The ideas of "financial technology," "economic and technological interaction," and "science and technology" are increasingly important for the development of financial products, enhanced financial effectiveness, and reduced costs of currency services. In other words, the economic model, strategic plan, various techniques, personnel operations, mark...

The proposed invention is a system for sorting produce using machine vision and machine learning algorithms. The system comprises a conveyor system for transporting produce, at least one camera for capturing images of the produce, and a machine learning algorithm for analyzing the images and sorting the produce based on predetermined criteria. The...

Deep learning compresses medical image processing in IoMT. CS-MRI acquires quickly. It has various medicinal uses due to its advantages. This lowers motion artifacts and contrast washout. Reduces patient pressure and scanning costs. CS-MRI avoids the Nyquist-Shannon sampling barrier. Parallel imaging-based fast MRI uses many coils to reconstruct MR...

Many sectors have begun adopting cloud computing. The hazards associated with virtualization and the dispersed nature of the cloud have resulted in a number of reported security threats and attacks. The complicated system and robust design necessitate a foundation of the fundamentals. In this paper, we introduce a fool proof system for authenticati...

Dr.K.G.S. Venkatesan, Dr.V. Vijayaraghavan, Dr.Sushma Jaiswal in respect of the application of such design to: Walking stick for visually impaired with alarm unit International Design Classification: Version: 14-2023 Class: 03 TRAVEL GOODS, CASES, PARASOLS AND PERSONAL BELONGINGS, NOT ELSEWHERE SPECIFIED Subclass: 03 UMBRELLAS, PARASOLS, SUNSHADES...

Edge detection using the Canny method is popular. The Canny method's calculation is too complex for traditional embedded systems, preventing real-time edge recognition. High-end embedded CPUs with GPGPUs can process more data (General Purpose Graphics Processing Units). This research proposes a distributed computing-friendly parallel canny techniqu...

The most in-demand business oppurtunity is the cultinary industry, the development of Bill Resto, a restaurant billing system, involved a number of eateries under the same brand name that are linked to the parent firm through a database server. Every restaurant sales revenue may be tracked in real-time with an integrated system. By combining the RE...

The purpose of the technology behind exoskeletons is to achieve human-machine motor function. The performance of the military, industry, and the medical field is all improved with exoskeletons. Rehabil-itative benefits can be gained from using medical exoskeletons. The design and development of mechanical structures have an impact on the cost of me...

A STUDY ON TRAFFIC PREDICTION FOR INTELLIGENT TRANSPORTATION SYSTEM MECHANISM USING MACHINE LEARNING Dr. K.G.S. Venkatesan Professor, Dept. of C.S.E, MEGHA Institute of Engg. & Tech. for Women, Eulabad - 501301, Telangana, INDIA. V.M. Jothiprakash Assistant Professor, Research Scholar, Anna University, Easwari Engineering College, Ramapuram - 600 0...

INTERNATIONAL ANTALYA Scientific Research and Innovative, Studies Congress Feb , 13-14, 2023 International Conference

Technological Developments in Engineering and Management Chief Editors Dr. R. Thamil Magal Dr. Roopa Shettigar Dr. V. Selvaraj Dr. Dheva Rajan S Dr. C. Samson Jerold Samuel Editors Dr. S. Thanikaikarasan Dr. Subhasis Roy Dr. Dhiren Ramanbhai Patel Mr. R. Harsha S. Gnanasekaran TECH PRESS H.No.A-7, Street No.1, Brahampuri, Delhi-110053 Mob.: +91 954...

This paper, is to study & create a mechanism for forecasting precise and timely traffic flow data. Traffic Environment refers to everything that might have an impact on how much traffic is moving down the road, including traffic signals, accidents, protests, and even road repairs that might result in a backup. A motorist or rider can make an inform...

The Present invention discloses an IOT and cloud computing based automated image segregation and method thereof. in the present invention , a plural keyvector packets formed from a single image frame captured by the image sensor, wih the first packet containing a set of image information for completing a first visual task and the second packet cont...

The mobile communications sector is consuming an alarming amount of energy and having a significant impact on the environment at an increasingly rapid rate as mobile data continues to advance. Because of this, research into technologies that are more efficient with energy is essential for minimizing the impact of adverse effects. This strategy will...

This paper provides a multi-cloud approach by way of keeping off dealer lock-in the use of unmistakable shape to cope with troubles of customers. Cloud may additionally perform higher for more diminutive quantities of income consistent with unit time together with generous records trades on the regular. For transferring nearer the exchange in multi...

The recent life -threatening diseases will spread from person to person due to the contagious nature of the diseases. The diseases should be diagnosed remotely to prevent this harmful spread among people The present invention relates to the field of the IOT based clinical diagnostic kit. The invention more particularly relates to an IOT based clini...

A wireless touch network is a distributed, self-organizing network of multiple sensors and actuators in combination with multiple sensors and a radio channel. Also, the security area of such a network can be several meters to several meters. The main difference between wireless sensor networks from traditional computer and telephone networks is the...

In Vehicle ad-hoc networks, the progression of wireless communication technology to 6G, overcomes storages, processing, privacy and power limits to create an efficient and intelligent next generation transportion system. Vehicular ad-hoc network may now offer remarkable availability, reliabilty and throughput using 6G technology. However, the VANET...

A compiler is intended as a language explainer to construe software commands from high-stage language or item gradation toward system code respectively. This compiler configuration protections vital clarification units and mistakes detection and recovery. This one carries lexical components, philological structures, and semantic mechanisms because...

In this Book Chapter, the design & development of the necessity for an efficient pipeline for the building of Machine Learning models has never been more vital, given the rise in the usage of machine learning in numerous areas. However, the work of developing and training models remains mainly traditional, with a reliance on domain specialists and...

In this paper, without learning the underlying plaintexts, searchable encryption allows a cloud server to run keyword searches over encrypted data o behalf of data users. Most existing searchable encryption systems, on the other hand, only offer single or conjunctive keyword searches, and the few schemes that can perform expressive keyword searches...

In this paper, We design a service mechanism for profit optimizations of each a cloud supplier and its multiple users. We consider, matter from a game meta physical perspective and characterize the link between the cloud supplier and its multiple users as a Stackelberg game, within which the ways of all users are subject to the cloud supplier. The...

To overcome the difficulties of prevailing patterns in dealing with the non-stationary and non-linear properties of high-frequency critical time-domain records, in particular the weak generalization potential, this article proposes a clustering method that relies primarily on statistical noise reduction methods using Wavelet transform (WT) and eval...

Journals indexed in Scopus and Web of Science may be considered for all academic purposes, SCOPUS Indexed, UGC CARE Listed & WOS Indexed Journals

Encouraging and support the academician, researchers, and scholars to work on innovative research and technology to deliver outstanding quality research that would result in our country to be a leader due to the development and success in education

ABSTRACT - SECURE DATA SHARING IN CLOUD AND COMPUTING USING REVOCABLE STORAGE IDENTITY- BASED ENCRYPTION Cloud computing gives an adaptable and advantageous way for information sharing, which brings different advantages for both the general public furthermore, people. Yet, there exists a characteristic opposition for clients to straightforwardly re...

ABSTRACT DEEP LEARNING BASED FAULT DETECTION ELECTRICAL DISTRIBUTION NETWORK The electrical power framework includes a few complex interrelated and dynamic components that are generally defenseless to electrical flaws. A few examinations have attempted to decide suitable strategies for electrical force frameworks deficiencies recognition and charac...

List of Science Citation Index - Journal List, ACM TRANSACTIONS ON ALGORITHMS 24. ACM TRANSACTIONS ON APPLIED PERCEPTION 25. ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION 26. ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS 27. ACM TRANSACTIONS ON COMPUTATIONAL LOGIC 28. ACM TRANSACTIONS ON COMPUTER SYSTEMS 29. ACM TRANSACTIONS ON COMPU...

The present invention discloses a multifunction heat transmission simulator with AI and Machine Learning based modules and method thereof. The simulator includes, but not limited to, a housing of a simulator is provided with a base having an impact surface, which is mounted to a heat exchanger; a spring-loaded supporting unit mounted to the base, p...

The necessity for an efficient pipeline for the building of machine learning models has never been more vital, given the rise in the usage of machine learning in numerous areas. However, the work of developing and training models remains mainly traditional., with a reliance on domain specialists and time-consuming data manipulation operations, whic...

The present invention discloses a system for cloud monitoring and repair method in an IoT network and method thereof. The system includes, but not limited to, a cloud monitoring system connected with a cloud user provided for multiple predefined operations on a cloud resource and having a log of each of the performed predefined operation based on t...

The present invention discloses a system for centrally managed cloud service broker and their performance analyses and method thereof. The method and system includes, but not limited to, a processing unit for real scientific computing workloads of many-task computing (MTC) users, that is, of users who employ loosely coupled applications comprising...

Sentiment analysis and opinion mining are research areas that investigate people's opinions, sentiments, evaluations, and emotions from written language. It is one of the most active research areas in natural language processing (NLP) and is also extensively studied in data mining, text mining, web mining. Sentiment analysis methods are being utili...

With the rapid improvement of cloud services, many statistics are shared through cloud computing. Although cryptographic techniques have been used to provide data privacy in cloud computing, the current methodology cannot enforce privacy concerns regarding ciphertext associated with multiple owners, allowing the participating owners to correctly un...

The presence of many zero values -- is a pervasive property of modern deep neural networks, as it is inherently induced by state-of-art algorithmic optimizations. Recent efforts in hardware design for acceleration of neural networks have targeted the structure of computation of these workloads. However, when run on these value-agnostic acceleration...

In the recent years solar photovoltaic become popular due to several advantages among the renewable energy. But the importance should be given to the maximum power point tracking technique to extract the maximum power from the solar PV. This paper deals with analysis of different MPPT techniques under different operating condition. It is analysed b...

An efficient methodology to manage the admissions in hospitals during the pandemics such as COVID 19 aims at simplifying the system of getting admissions to hospitals especially during the period of pandemics. It's difficult to get a bed or ventilators during a pandemic such as COVID 19. Which is highly contagious the number of patients will be inc...

The objective of this proposal is to create a system for tracking the conversion rate of e-waste by converting specific electronic products into finished products. Such system will reduce the overall wastages instead of keeping the materials as a permanent waste and cannot be converted into finished products. Every stage is monitored and tracked us...

This paper looks at different facts of microgrid uncertainty. Various regulation and compensation models have been introduced in the microgrid device to ensure optimum system power flow. This method can cause small changes to the metrics of the electrical grid. The penalty and monitoring structures proposed in the system could never contribute to s...

Wireless Sensor Network contains randomly distributed Sensors which are tiny through which the data is transmitted or services are provided to the end users. The Quality of Service (QoS) depends on these sensors deployment to overcome the redundancy in the network. The present invention disclosed here is Enhancement of Quality of Service in Wireles...

The Cloud Computing uses Resource Management through which resources are shared. The on-demand services with better use of resources by the user are provided by the Cloud Computing. The critical issues with the Cloud Computing is Resources Scheduling, the optimal resources scheduling reduce the energy, cost and time. The Cloud Service is to be prov...

Today, electronics are an indispensable part of modern vehicles. Cars of moderate class contain more than 70 electronic control units connected by different data buses and gateways. The communication protocols are characterized in event-triggered and time-triggered mechanism. Several event-triggered protocols LIN, CAN, J1850, etc. and TTP, SPIDER,...

The performance of the Wireless Communication system is improved due to the use of Multiple Input Multiple Output (MIMO) in which multiple antennas were used. An Orthogonal Frequency Division Multiplexing (OFDM) improves the spectrum efficiency by making the subcarriers orthogonal to each other and spacing subchannels close together. By combining t...

The Grid connected Photovoltaic (PV) system is invented and the control technique of solar system with Three Phase Grid Connection is done by Sliding mode controller. The present invention disclosed here in is Conversion of Sliding Mode Controller to Grid Connected PV System for Boosting the Power for Inverter comprising of: hotovoltaic System (201...

The Majority of the Power System failures occurring due to the faults in the transmission lines and the Transformers are the class of very expensive and vital components of the electric power system. The Present invention disclosed here is Conversion based Fault Identifier in Three Phase Transformer using Wavelet Transform Technique comprising of:...

Regarding the recent Trending software Tools for Business Analytics Application software does all the hard work. This type of software performs user-related tasks and can further be classified as general purpose, specialist or bespoke/customized. System software tools include OS and utility programs, while the software application is task-related....

Server centres are ceaselessly endeavouring to meet the challenge of conveying more data transfer capacity, and this would require larger limit optical switches and workers. One proposition for accomplishing this higher data transfer capacity thickness is to utilize installed optical handsets, which have varieties of VCSEL or silicon-photonic laser...

A distributed antenna based system to track the COVID patients and monitor them continuously is a need of an hour invention which efficiently monitors the patients who are tested positive as well as who are in quarantine since they are the most important carriers of the corona virus that is highly contagious. In the proposed invention each and ever...

Trending Software Tools for Business Analytics : ( In a Nutshell ) Business analytics refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.

Problems arising in coke-battery operation are considered. The equivalent age of coke batteries may be determined by taking account of their technical state and their operating conditions and calculating the starting time for their major repair or complete reconstruction.

A methodology and an efficient algorithm to encrypt and decrypt the stored data and images on cloud will help secure the data which is the need of the hour. Data security is an important aspect as the users are dependent on data especially storing them over the cloud. The proposed invention aims at implementing a methodology to encrypt the data as...

A Guide for Software Testing- A Comprehensive Description

A wireless system and methodology to measure the units of electricity consumed by electrical appliances individually using plurality of sensors and touch screen devices that are attached to the switch board of a household or any building. The proposed invention will calculate the electricity consumed by each and every electrical appliance along wit...

"A Guide for Software Testing ; A Comprehensive Description" is about how the testing process can be conducted at various positions of a system, its importance and how the testers can approach to test the code. What kind of parameters they would take ad how many of testings will be conducted and what kind of tools they would take to scrutiny the co...

This paper presents boundaries between e-commerce and social networking became progressively blurred. several e-commerce websites support the mechanism of social login wherever users will register the websites victimisation their social network identities like their Facebook or Twitter accounts. Users may also post their fresh purchased merchandise...

In this paper presents, CDA document generation and integration Open API service supported cloud computing, through that hospitals area unit enabled to handily generate CDA documents while not having to get proprietary code. Our CDA document integration system integrates multiple CDA documents per patient into one CDA document and physicians and pa...