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Integrated Automated Attendance System with RFID, Wi-Fi, and Visual Recognition Technology for Enhanced Classroom security and Precise Monitoring 2

Integrated Automated Attendance System with RFID, Wi-Fi, and...

引用

2nd IEEE International conference on Contemporary Computing and communications, InC4 2024

作者： Thaleeparambil, Noeal Biju, Abiya Prathap, Boppuru Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350383652

The integrated automated smart attendance system utilizes RFID, Wi-Fi, and visual recognition technologies to elevate classroom security and ensure precise monitoring of attendance records. It consolidates cutting-edge components such as RFID tags, ESP8266 Wi-Fi modules, ESP-32 CAM modules, solenoid locks, servo motors, and PIR sensors to devise a strong remedy. RFID technology enables accurate attendance tracking by assigning tags to students and faculty members. The Wi-Fi and visual recognition components enhance the system's functionalities, facilitating wireless connectivity, instantaneous data transfer, and validation of identities. Solenoid locks and servo motors ensure controlled access, responding to validated attendance records. PIR sensors detect motion, contrasting between genuine presence and proximity. The paper's methodology delineates the necessary hardware and software requirements, procedures for system initialization, testing phases, establishment of server connectivity, implementation of access control mechanisms, and formulation of end-of-session protocols. It highlights the successful integration and validation of hardware components, backend connectivity, identity confirmation, attendance recording, data encryption, and session termination procedures. The research aims to modernize attendance tracking in educational settings, improving efficiency, accuracy, and security while appreciating the need for further adaptation to suit diverse educational environments for broader adoption and sustained advancement. © 2024 IEEE.

关键词： Wi-Fi

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Experimental Design of Interoperable Smart Lighting for Elderly Care 2

Experimental Design of Interoperable Smart Lighting for Elde...

引用

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Sadasivam, Boobalakrishnan Rajamohan, Kavitha Department of Computer Science Bangalore India

ISBN: (纸本)9798350365269

Smart Home attains an active role in elderly care. Vision impairments caused by aging makes elders more dependent and affects the circadian rhythm or body clock. Some vision impairments can be improved by providing additional lighting. Smart lighting is the leading solution in providing adequate quality of lighting which helps elders to perform their daily activities independently. Various smart lighting solutions for elderly care are proposed in past and failed to consider about the energy loss due to over lighting. Additionally, the solutions are more independent in nature and not integrable to existing smart home solutions. To provide a solution to these ongoing challenges, an experimental design has been proposed to manage the adequate quality lighting for elderly people by controlling the illuminance and color temperature of the light with a feedback mechanism. Also, this experiment has integrated into a popular smart home platform. The proposed design keeps monitoring the ambient lighting and maintains the room's illumination as required for elderly individuals. The functional behaviors of the experimental design are evaluated using a testbed. The result shows that the proposed design reduces the energy usage more than 50% along with providing adequate lighting for elderly individuals. In addition, this experimental design promises that the proposed method can be easily integrated into any existing smart home solutions with its native scripting framework. © 2024 IEEE.

关键词： Lighting

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Using the possibilities of digitalization tools in building a dynamic model of competition in conditions of economic security 2

Using the possibilities of digitalization tools in building ...

引用

2nd International conference on computer Applications for Management and Sustainable Development of Production and Industry, CMSD 2022

作者： Korolev, M.I. Lapshina, M.L. Khorev, A.I. Lukina, O.O. Regional branch Association of employers of the Moscow region in the field of safety and security "Global-security" Moscow Russia Voronezh State Forestry Engineering University named after G.F. Morozov Voronezh Russia Voronezh State University of Engineering Technologies Voronezh Russia

ISBN: (纸本)9781510662452

This paper provides an overview of the economic state of the market, taking into account objective risks affecting economic security. The possibility of constructing simulation models using systems of nonlinear equations is considered and justified. The understanding of global and local sustainability is substantiated. By using mathematical apparatus, the possibility of the existence of a negative impact of competing players operating in a particular market sector is considered. We define the conditions necessary for the existence of civilized competition, taking into account the peculiarities of matrix calculus. The possibility of presenting the described conditions of local stability of the stationary state of the system using a parametric approach is substantiated, and the conditions of stable competitive equilibrium of the system are formulated. © 2023 SPIE

关键词： Commerce

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Medibot: Personal Medical Assistant 2

Medibot: Personal Medical Assistant

引用

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Kumar, K. Antony Rajan, Jerlin Francy Appala, Charan Balurgi, Shreya Balaiahgari, Praveen Royal Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Chennai India Apollo College of Nursing Department of Medical Surgical Nursing Chennai India

ISBN: (纸本)9798350365269

In many parts of the world, there is a lack of access to healthcare professionals, Medical consultations can be expensive. Using cutting-edge Artificial Intelligence (AI) technology, Medibot, a smart healthcare conversational robot, addresses the issue of long wait times for medical visits. Designed with the healthcare industry in mind, Medibot offers people looking for medical information and assistance an easy- to-use interface. Its proficiency in Natural Language Processing (NLP), Machine Learning (ML), and knowledge representation is enhanced by its ability to precisely comprehend customer inquiries and provide pertinent answers. This live virtual assistant demonstrates its ability to provide individualized medical insights by helping with the identification of certain ailments based on user-reported symptoms, going beyond standard health questions. The unique quality of Medibot is its capacity to negotiate healthcare-related interactions effectively. This makes it an invaluable tool for resolving challenges related to responsiveness and accessibility that are frequently tied to the availability of healthcare practitioners. The capacity of Medibot to help diagnose particular ailments based on user-reported symptoms makes it stand out. © 2024 IEEE.

关键词： Knowledge representation

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Early Forest Fire Prediction System Using Wireless Sensor Network 2

Early Forest Fire Prediction System Using Wireless Sensor Ne...

引用

2nd IEEE International conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Thangam, S. Sri Sai Samhitha, J. Adarsh Sagar, K. Yaswanth, Julakanti Sai Haritha, Kundula Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham Dept. of Computer Science and Engineering India

ISBN: (纸本)9798350372847

Wireless sensor network (WSN), is a collection of sensors that is used for monitoring the activities in a given environment. They are used in the forests for fire detection wherea large number of sensor nodes are placed to detect the fire inits early stages. Forest fires are the main reason which affect the wildlife and many living creatures. The project performs a comparative analysis between the traditional system and the new system developed used to predict forest fires early using the Wireless sensor network for detecting forest fires with the goal of monitoring the scale and intensity of the wildfire ignited at forests. The solution involves deploying the fire sensing sensors across the forest area, calculating Fire Whether Index (FWI) of the regions, establishing data communications between the sensors using the protocol to create dynamic routing paths across the Wireless Sensor Network [7]. These paths are developed based on several factors such as fire, energy, weather index and security. Tracing the multi dynamic route is established using star topology where the red alert zones send the alert message to all the nearby base stations. Using Net Logo simulator this project analyses the performance of the traditional systems and new systems based on network power, fire detection efficacy and the overall power consumed by the fires alerting systems. © 2024 IEEE.

关键词： Fires

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Implementing FlowFlexDP for Advancing Passenger Demand Prediction using Cellular Footprints 2

Implementing FlowFlexDP for Advancing Passenger Demand Predi...

引用

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Azhagusakthi, N. Anuradha, K. Karpagam College of Engineering School of Computer Application Coimbatore32 India

ISBN: (数字)9798350365269

ISBN: (纸本)9798350365269

Accurate prediction of citywide passenger demand is essential for optimizing driver scheduling in online car-hailing services. However, existing approaches often overlook deep dependencies or restrict the analysis to grid region partitioning. Inspired by recent advances in mobile traffic analysis, We introducing FlowFlexDP, an innovative demand forecasting model that merges regional crowd movement information and utilizes adaptable region segmentation techniques. FlowFlexDP offers a more comprehensive understanding of passenger demand dynamics. Analysis of a large-scale cellular data set from a major Chinese city shows that the passenger traffic data is highly correlated with how people move around. FlowFlexDP capitalizes on historical performance and crowd flow data using a Graph Convolutional Neural Network (GCNN) that allows for effective predictions over cities with different sizes and shapes. This new model represents a significant advancement in demand prediction, promising enhanced efficiency and passenger experience in urban transportation systems. Experimental evaluation demonstrates FlowFlexDP's superior performance in accurately capturing passenger demand patterns, highlighting its potential for optimizing driver scheduling and improving overall transportation efficiency. © 2024 IEEE.

关键词： Forecasting

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HVSNA: An Advanced Hybrid Attack on RPL-Based Low-Power Wireless Networks 2

HVSNA: An Advanced Hybrid Attack on RPL-Based Low-Power Wire...

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2nd IEEE North Karnataka Subsection Flagship International conference, NKCon 2023

作者： Hrishikesh, B.H. Mandalam, Ankita Venkata Giri, Animesh Pes University Computer Science & Engineering Department Bangalore India

ISBN: (纸本)9798350314045

Network systems are strongly connected to our daily lives and guaranteeing their security becomes more and more critical. The growth in the use of Internet of Things (IoT) devices has led to exceptional levels of interconnectedness, which provides significant benefits across multiple sectors. This causes an increase in demand for stronger security measures in IoT networks. One of the well known IoT network protocols is the Routing Protocol for Low Power and Lossy Networks (RPL). The Sinkhole attack strategy is used in RPL, which leverages a decrease in rank inside the DODAG (Destination-Oriented Directed Acyclic Graph) structure. The approach of this attack is similar to that of the Blackhole attack however it has a greater negative impact on the network. This paper delves into the convergence of these two attack tactics, showing the serious concerns they bring to network security. © 2023 IEEE.

关键词： Internet of things

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A Secured Framework for Blockchain Technology Adoption in IoT 2

A Secured Framework for Blockchain Technology Adoption in Io...

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2nd International conference on Edge Computing and Applications, ICECAA 2023

作者： Maruthi, R. Piriadarshani, D. Padmanabhan, Sankar Shanthi, M. Hindustan Institute of Technology and Science Department of Computer Applications Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Mathematics Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Electronics and Communication Tamil Nadu Chennai India Sri Balaji Arts and Science College Department of Computer Science Tamil Nadu Chennai India

ISBN: (纸本)9798350347579

In networking applications, security and privacy is an important concern and it is an ongoing problem in Internet of Things (IoT) applications. Many security mechanisms like biometrics, two factor authentications etc, were recommended for IoT device. Since security is one of the important characteristics of Blockchain (BC) technology which is familiar for Bitcoin and Ethereum, it is applied in IoT for data protection and data privacy. In an organization, the IoT data is shared between the various personnel. IoT uses non standard computing devices to send and receive the data from the sensors and other devices. In such circumstances, it is to be verified to prevent any disputes or problems among the users of the organization. The proposed study investigates how blockchain technology provides security and transparency in IoT applications and also discusses the issues and challenges. © 2023 IEEE.

关键词： Internet of things

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Enhance Energy Efficiency based Automobile Wheels by using Piezoelectric Energy Harvesting Technology and Sustainable Power Generation 2

Enhance Energy Efficiency based Automobile Wheels by using P...

引用

2nd IEEE International conference on Networking and communications, ICNWC 2024

作者： Dadi, Pradeep Surya Meera, R. Rajkumar, K. Surendran, R. Chennai Institute of Technology Department of Mechanical Engineering Chennai India St. Joseph's College of Engineering and Technology Department of Electronics and Communication Engineering Thanjavur India Guru Nanak Institute of Technology Department of Emerging Technologies Hyderabad India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering New Delhi India Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350365269

This paper investigates the feasibility of integrating piezoelectric energy harvesting technology into automobile wheels to improve energy efficiency and promote sustainable power generation. By strategically placing piezoelectric sensors around the circumference of the wheel, the rotational motion and pressure from the road are utilized to generate electricity. Through comprehensive analysis and simulations, optimal sensor placement, resonant frequency, and impedance are examined to maximize energy harvesting performance. The study evaluates the power output, current, and voltage at common Indian road speeds of 60 km / h and 80 km / h, considering the efficiency of a charge pump energy harvesting system. The results demonstrate significant potential for power generation, contributing to the development of self-powered automotive systems, and advancing sustainable energy solutions in the automotive industry. © 2024 IEEE.

关键词： Automotive industry

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Adversarial Attack on 3D Fused Sensory Data in Drone Surveillance 2

Adversarial Attack on 3D Fused Sensory Data in Drone Surveil...

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2nd International conference on Advancement in Computation and computer Technologies, InCACCT 2024

作者： Bhanushali, Amisha Parab, Mithun Pavan Kumar, B.N. Ingle, Palash Sejong University Computer and Information Security Seoul Korea Republic of R.J. College Department of Computer Science Mumbai India Indian institute of information technology CSE Group Sri city India

ISBN: (纸本)9798350371314

Lately, unmanned aerial vehicles (UAVs) have not only been used for surveillance but also, they are used in safety-critical applications. Today's UAVs are enabled with state-of-the-art sensors (i.e., LiDAR and 2D cameras) for monitoring public space. In most drone surveillance applications, the LiDAR and 2D camera data are fused for efficient monitoring and for preserving storage. Mostly deep neural networks (DNN) are used for performing object detection, classification, and segmentation on this fused data such that crucial information can be extracted. However, the DNNs are vulnerable to adversarial attacks that falsely misclassify the object. In this work, we performed a late fusion of the 2D camera and the 3D point cloud data, on these fused data we applied the adversarial patch. We proposed a pixel distillation methodology (PDM) for generating an adversarial patch that can misclassify the detected objects. We evaluated the proposed methodology on the benchmark KITTI dataset and the 3D-Model dataset, additionally in a controlled environment for real-time analysis we tested the model on Tello and Parrot drone. On average, our method exhibits 80% attack success rate and successfully fools Yolo7 and Catchnet models. © 2024 IEEE.

关键词： Deep neural networks

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