A5066119714- Internet of Things and AI
- Blockchain Technology Applications and Security
- Smart Grid Energy Management
- Low-power high-performance VLSI design
- VLSI and Analog Circuit Testing
- Smart Parking Systems Research
- Advanced Malware Detection Techniques
- Advancements in PLL and VCO Technologies
- Modular Robots and Swarm Intelligence
- Chaos-based Image/Signal Encryption
- IoT-based Smart Home Systems
- VLSI and FPGA Design Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Power System Optimization and Stability
- Water Quality Monitoring Technologies
- Islanding Detection in Power Systems
- COVID-19 diagnosis using AI
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Retinal Imaging and Analysis
- Adversarial Robustness in Machine Learning
- Water Quality Monitoring and Analysis
- Date Palm Research Studies
- Explainable Artificial Intelligence (XAI)
- Digital Imaging for Blood Diseases
Samsung (South Korea)
2024-2025
Intel (United States)
2025
Ganesamoni Hospital
2024
Jimma University
2013-2024
JSS Academy of Higher Education and Research
2022
The University of Texas at Dallas
2006
Texas Instruments (United States)
2006
Internet of Things (IoT) has now become an embryonic technology to elevate the whole sphere into canny cities. Hasty enlargement smart cities and industries leads proliferation waste generation. Waste can be pigeon-holed as materials-based waste, hazard potential based origin-based waste. These categories must coped thoroughly make certain ecological finest run-throughs irrespective origin or content. management should incorporated preparation since it is a grave piece natural cleanliness....
Steganography is a tool which allows the data for transmission by concealing secret information in tremendously growing network. In this paper, novel technique quick response method (QRM) proposed purpose of encryption and decryption. Existing system uses side match vector quantization (SMVQ) has some challenges such as security issues performance issues. To handle issues, two methods, namely, shifting method. system, encoding part calculates capacity, PSNR (peak signal-to-noise ratio), MSE...
Tamil is an old Indian language with a large corpus of literature on palm leaves, and other constituents. Palm leaf manuscripts were versatile medium for narrating medicines, literature, theatre, subjects. Because the necessity digitalization transcription, recognizing cursive characters found in remains open problem. In this research, unique Convolutional Neural Network (CNN) technique utilized to train characteristics characters. By training, CNN can classify significantly training phase....
The Industrial Internet of Things (IIoT) has received significant attention from several leading industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part Industry 4.0 that mainly employs machine learning (ML) to investigate the interconnection massive quantity data. As data are generally saved at cloud server, security privacy collected numerous distributed heterogeneous devices remain challenging issue. This article develops novel multi-agent system...
In the digital age, cybercrime is spreading its root widely. Internet evolution has turned out to a boon as well curse for those confronting issues of privacy, national security, social decency, IP rights, child protection, fighting, detecting, and prosecuting cybercrime. Hence, there arises need detect cybercriminal. Cybercrime identification utilizes dataset that taken from CBS open dataset. For identifying cybercriminal, support vector machine (SVM) in <math...
Ring oscillators are not new, but the authors of this article use them in a novel, unconventional way to monitor process variation at different regions die frequency domain. Measuring each design or fabrication parameter is infeasible from circuit designer's perspective. Therefore, we propose methodology that approaches PV test This advocates testing dies for by monitoring variations across and analyzing data devices provide. We ring (ROs) map into Our ROs far more rigorous than standard...
Photovoltaic (PV) cell has a characteristic of decrease in power beyond certain temperature. This is due to drop the open circuit voltage. decreases efficiency PV cell. The objective this research increase cells by reducing temperature and reflection loss. loss can be reduced spraying water over cells. On USP36, 24V module, found increased. test result shows 1V 2V voltage, with an increment 1% 1.27%. results USP37 show voltage 1.2 V 2.1 module Due 1.29% observed. USP36 more than without...
Abstract One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is use machine learning modelling make smart forecasting, tracking, failure prediction systems. This method aims industry data treat model. Gradient-Boosted Decision Tree (GBDT) algorithms were used gradually predict plant parameters. In addition, we Slime Mould Algorithm (SMA) for feature extraction other acceptable tuning procedures. The input effluent...
Noise on the power-supply lines has become a critical factor especially in low-voltage designs as excessive noise may cause intermittent functional error and eventually system failure. Having realistic picture of worst case throughout chip is important we can devise remedy to alleviate problem before it becomes too late. This paper provides fast automatic pattern generation method estimate maximum simultaneous switching for non-embedded core. When cores are integrated within SoC, combined...
Multi-robot systems, working collectively to accomplish complex missions beyond the capability of a single robot, are required for wide range applications such as search-and-rescue, precision agriculture and industrial automation. The collective behavior multi-robot system is governed by its continuous interactions with physical environment, inter-robot information exchange, intelligent decision making. Energy-efficient performance, size, weight scalability key sensor, compute,...
Accurate prediction of cardiovascular disease is necessary and considered to be a difficult attempt treat patient effectively before heart attack occurs. According recent studies, said one the leading origins death worldwide. Early identification CHD can assist reduce rates. When it comes using traditional methodologies, difficulty arises in intricacy data relationships. This research aimed at applying machine learning technology identify from past medical uncover correlations that greatly...
Abstract The paper proposes a new stochastic multiobjective technoeconomic model for integrating photovoltaic (PV) and wind energy resources in electricity price (EP)‐driven distribution systems. primary goal of this is to determine the optimal location capacity renewable energy‐based distributed generation, specifically PV resources, while considering weather system uncertainties. These uncertainties include variations illumination intensity, speed, EP, load fluctuations. To address these...
Internet network communication protocol version 6 low‐power wireless personal area networks (6LoWPAN) is supposed to assist the gadgets with sensor (WSN) and it furnishes top model layer of data transmission system. The 6LoWPAN prone diversified attacks such as wormhole black hole attacks, which might be very difficult become aware defend. In a attack, attacker listens facts over networks, in intruder reprograms nodes dam transmission. As an end result, any datagram that enters attacked...
The phenomenon of separation into constituent layers connecting the core and laminate a composite sandwich complex is vital complication that leads to early failure such material. direction construction's exfoliation rigidity increased between interlaminar low fiber augmentation. bioinspired technique hybrid material was used on an aluminium face sheet with interlayer composition PET foam glass fabric appears have greater potential as flimsy substitute for materials currently in automotive,...
The maritime sector is undergoing a transformative shift driven by the adoption of Internet Things (IoT) era. IoT permits real-time data collection, monitoring, and evaluation assets, leading to improved operational efficiency, stepped forward protection, value financial savings. By integrating sensors into ships, ports, cargo, stakeholders can optimize gas intake, control vessel maintenance, tune shipment movements, ensure compliance with environmental regulations. Furthermore, enables...
This article addresses the importance of parking system which makes movement moving vehicles to be unrestricted thus providing integration between hominid classification and sensing systems. If two distinct systems are combined, then all can monitor space, they directly move towards destination end within short span time. In addition for this type establishment, rapidity transportation is calculated with error minimization technique where technical hitches will avoided by sustaining user...
The developments in the field of artificial intelligence (AI) and decision making systems are identified as virtuous models for banking finance sector (BFS) applications. Even though AI provides great advantage application changes it is essential to remodel system using explainable (XAI) design system. Also standard sensing appropriate monitoring values but huge size sensors considered a major drawback. Thus two diverse problems addressed this research work where XAI has been integrated with...
Recently, many researches has been carried out to save the energy in aspects such as producing a device which consumes very less or designing system helps reduce power consumption using existing devices.In this paper, room light control is proposed named (LCS).This will able provide needed provides satisfaction of users and saving management.In paper Lighting Control System decision making algorithm, are discussed.As per algorithm first check any occupant there room.If so then intensity if...
In the present global scenario, social distancing is an inevitable one. The need for and advancements of technology to facilitate patients doctors around world mandated telemedicine remote monitoring patience details as pivotal way diagnose disease. this, it essential transmit patient’s information such X-ray scan images them doctor in location. Preventing medical data from technological adversaries hour. Infinitesimal attacks may cost human lives. This work proposes a lightweight, secure...
As device technology progresses toward 45nm and beyond, the fidelity of process parameter modeling becomes questionable. In this paper we propose concept variation (PV) testing. This is achieved by applying an innovative fault model test methodology that uses PV sensing circuitry frequency domain analysis. Rather than pinpointing different parameters, our architecture looks at effect in a chip indirectly collectively. The novelty shifting strategy VLSI testing to using distributed network...
This article deliberates various issues that are present in the integration of nanorobots medical applications when real-time arrangements used. In current generation, there is a need for device to recognize different diseases fast mode operation where data transfer should be highly accurate. Even though many devices existing, valuable information not provided on detection segment has been delivered. Therefore, technology can implemented detecting and providing solutions human body. These...
This article highlights the importance of learning models which prevent resilient attack robotic technology with a subset trajectories. Many complement are introduced in field path planning robots without any knowledge representation procedures, so data subject to different attacks from several users. During such attacks, will be misplaced and commands specified disorganized new training set has incorporated is difficult task. Therefore, probability failure time-dependent binary prototypes...
Human activity recognition (HAR) is one of the key applications health monitoring that requires continuous use wearable devices to track daily activities. The most efficient supervised machine learning (ML)-based approaches for predicting human are based on a stream sensor data. Sensor data analysis using conventional algorithms and deep (DL) models shows promising results, but evaluating their ambiguity in decision-making still challenging. In order solve these issues, paper proposes novel...