- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- UAV Applications and Optimization
- Blockchain Technology Applications and Security
- IoT Networks and Protocols
- Context-Aware Activity Recognition Systems
- Opportunistic and Delay-Tolerant Networks
- FinTech, Crowdfunding, Digital Finance
- Advanced Neural Network Applications
- Indoor and Outdoor Localization Technologies
- Privacy-Preserving Technologies in Data
- Robotics and Automated Systems
- Robotic Path Planning Algorithms
- Privacy, Security, and Data Protection
- Fire Detection and Safety Systems
- IoT-based Smart Home Systems
- Antenna Design and Analysis
- Organizational and Employee Performance
- Innovative Energy Harvesting Technologies
- Infrastructure Resilience and Vulnerability Analysis
- Millimeter-Wave Propagation and Modeling
- Islamic Finance and Banking Studies
- Magnesium Oxide Properties and Applications
- IoT and GPS-based Vehicle Safety Systems
- Augmented Reality Applications
Motilal Nehru National Institute of Technology
2014-2025
LNM Institute of Information Technology
2020-2024
Sharda University
2024
National Institute of Technology Hamirpur
2023
SRM Institute of Science and Technology
2023
Sathyabama Institute of Science and Technology
2023
Sardar Vallabhbhai National Institute of Technology Surat
2016-2019
University of Engineering & Management
2017
Power generation, distribution and optimal utilization is a concern for every organization government sector industries. Due to innovation usage of advanced technologies, number independent research activities investigates the performance in terms real time management processing data. It helps realize concept green environment support with novel solutions various energy applications. There need smart way distribution, power optimize consumption its cost. In this context, we present...
In this paper the modelling and Design of a Beam on which two Piezoelectric Ceramic Lead Zirconate Titanate ( PZT) patches are bonded top bottom surface as Sensor/Actuator collocated pair is presented.The work considers Active Vibration Control (AVC) using Proportional Integral Derivative (PID) Controller.The beam assumed Euler-Bernoulli beam.The PZT also treated elements.The contribution mass stiffness in design entire structure considered.The modelled three Finite Elements.The can be near...
Poor resource management may lead to loss of many lives and affects the economy. During disasters, communication networks are destroyed re-establishment dynamic network is a challenging issue. However, Internet Things an advanced technology which enables anytime, anywhere anyplace. In such situations, IoT provide available information resources that can be scheduled for different tasks. this paper, we address scheduling issue exploited bankers algorithm ensuring optimum utilization...
Non trivial part of IoT is sensor devices that are energy constrained. Assuming the going to perform tasks together for a certain scenario, collaborating with each other and exchange semantics in an efficient way critical aspect. To address this issue, we propose clustering algorithm collaborative processing network. The evaluated on actual platform based simulator cooja. parameters like network coverage, communication cost power consumption analysis by conducting experiments.
Piezoelectric material can be used to generate the electrical energy when it is compressed or expanded. This paper deals modelling and design of a Cantilever Beam for Energy Harvesting on which Ceramic Lead Zirconate Titanate (PZT) patches are bonded. There may two configurations one "Unimorph" in only PZT patch other "Biomprph" energy. The beam assumed as Euler-Bernoulli beam. also treated element. contribution mass stiffness entire structure considered. modelled using four Finite Elements....
As the world's population is growing, so generated waste. To process trash efficiently, we must separate recyclable and organic waste from non-biodegradable This paper discusses an approach based on machine learning, which classifies images of garbage into two types, Organic Recyclable. The algorithm uses a Convolutional Neural Network (CNN), well-known deep-learning technique for models data sets consisting pictures. proposed model in this DenseNet-169, contains total 169 layers. Data...
Rescue and recovery operations are very critical for post disaster management. For management surveillance activities, there is a need of acquiring the information about ground situation through sensing or observing data identify locations, which challenging task. These may be sensed observed different types sensors deployed in area interest. This can achieved collaborative way acquisition processing. In this context, paper introduces framework based on processing using unmanned aerial...
The objective of the research is to address how polyhedron shaped MgO nanoparticles can solve poor thermal conductivity issues due spherical form CuO nanoparticles. novelty enhancement combined effect specific heat and two-step approach for preparation nanofluid. In current study, novel strategy addition fraction improve inferior (TC) resulted agglomeration in water addressed with proper experimental data. This was done CuO/MgO weight ratio 7:3 at volume (VOF) from 0.25 1.5 % 30 55 °C....
Corruption is one of the biggest evils in society. Most black money world transacted through Nongovernment organisations and charities. Though, intention a few genuine people who want to help society could be misused by others. In this context, paper proposes solution for online charity system using blockchain technology. The donations made any donor can traced maintained on system. takes real converts it virtual tokens all transactions done systems are form tokens. These donated donors when...
The post disaster situations need data collection and reporting in real time. For effective monitoring, the applications running such a scenario may require from specific regions only. This paper addresses use of unmanned aerial vehicles as IoT devices for acquisition different clusters sensor deployed region. Three issues are addressed this paper. First, region should be isolated other to serve it efficiently using Unmanned surveillance acquisition. Second, certain scenarios, there is...
The disaster prone areas need quick response strategy to locate resources as early possible. Also, in situations, there is a optimize the resource utilization real time. This task needs time data collection, where collected must be made accessible at all times. Moreover, these may accessed by responsible authorities any place. cloud most prominent solution this context, which provides services of accessing, analyzing and storing from place challenging tasks are collect, store analyze on...
The Internet of Things environment consists a large amount devices deployed in the terrain that operate to accomplish different tasks. There are applications operating such an environment, which requires various types sense and communicate. To achieve network efficiency, it is required have collaboration among these devices. In IoT services must be accessed at any time, from where place. this view, there need location available all times. Also, information for time order real response. This...
IOT is one of the most controversial topic in current digitalized era. The scope developing gradually with new technologies like smart grids, homes, cities etc. permits internet connectivity for all kind physical objects and devices. Virtualization different types system becoming trend today's world that allows to perform without direct interaction. combination intelligent devices high speed makes easier multi-tasking smoothly constraint distances.
To deliver personalized services to users, recommendations systems are highly important. Despite the numerous advantages, implementing recommendation usually necessitates collection of users' personal data, especially online usage, which unnecessarily exposes users significant privacy concerns. As a result, developing functional privacy-preserving framework prevent sensitive information from being inferred against inference attacks is critical. The main idea mask such that original data...
Over the years change in global climatic conditions, like greenhouse effect, and warming have led to sudden increases natural disasters mostly weather, climates, water extremes. which has loss of lives, resources affected economies adversely. While on one hand efforts prevent habitat earth are continued, we also be prepared for cases. As much as prediction disaster is important planning rescue missions, post-disaster process crucial, actually decide impact disaster. In this paper, our...
Forest fires present a notable danger to the environment, wildlife, and human lives. Early detection of forest fire is crucial prevent their spread minimize damage. The timely response are paramount mitigating destructive impact. Yet, conventional methods like visual inspection ground patrols labor-intensive, time-consuming, demand extensive coverage. Recently, machine learning algorithms for image have emerged as an effective approach detecting using images taken from drone. This study aims...