Conference Proceeding - Advances in Computing, Communication and Recent Trends in Technology (ACCRT) - 2024
Volume 12 | Issue 5

 Abstract

The integration of GSM and GPS innovations permits for effective communication and exact area following, guaranteeing fast and precise reaction to recognized landmines. The real-time transmission of information empowers the base station to make educated choices and send assets successfully. Furthermore, the robot's capacity to check and cripple landmines remotely minimizes the hazard to human life included in manual demining operations. Furthermore, the Landmine Discovery and Insinuation Framework Robot's flexibility makes it appropriate for arrangement in different landscapes and situations. Its tough plan and all-terrain capabilities empower it to work in challenging conditions, counting unpleasant territory and unfavourable climate. This flexibility upgrades its viability in recognizing and neutralizing landmines in different geological areas, making it a profitable device for mine clearance operations around the world.

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 Keywords

Intimation system, Metal detectors, Base station, Versatility, All-terrain capabilities.

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This paper aims to develop a multi-purpose surveillance robot to perform surveillance activities in industrial areas, militarized war zones or radioactive field areas with the objective of analyzing, governing and protecting the areas from unwanted threats. The use of robots and their role in our day-to-day life has been rapidly increasing since the day they were introduced to the world, further reducing the errors and life risk to humans. The objective is to design and develop an Internet of Things (IoT) based autonomous multi-purpose surveillance robot at a low cost that will roam around freely and give live updates about their surroundings by broadcasting video and information through the sensors installed. The sensors collect the data from the surroundings and send it to the Arduino microcontroller which can be seen by the user any time. This technology is controlled by the user remotely through any device such as mobile phone, tablet or laptop with the help of IoT based services. The entire project is built and monitored by wireless platform to minimalize the use of wire and help it work smoothly in remote places. Further improvements and advancements in this project can help in reducing life risk of valuable soldiers or identification of any hostage in unknown places.

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 Keywords

Arduino,IoT,multipurpose,Blynk

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This project aims to develop an animal detection system for traffic monitoring using the YOLO (You Only Look Once) algorithm deployed on a Raspberry Pi. The system utilizes a pre-trained YOLO model to detect animals in real-time video streams captured by a camera module or USB webcam connected to the Raspberry Pi. Through a series of steps including setting up the Raspberry Pi, installing dependencies, configuring YOLO, writing detection code, optimizing for the Raspberry Pi's limited computational resources, and testing in controlled and real-world environments, the project aims to create an efficient and accurate solution for detecting animals in traffic scenarios. The system's implementation considers ethical implications, robustness against varying conditions, and documentation for future reference and dissemination.

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 Keywords

Raspberry PI, YOLO, Animal Detection, Deep Learning

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In this project, we propose to design and build a buoy-based environmental monitoring system that runs on solar power and can measure aquatic environments' water quality indicators as well as meteorological conditions. A microcontroller, a wireless transmitter, weather sensors, water quality sensors, and solar panels are all integrated into the system on a buoy platform. The system is continuously powered by solar panels, which guarantees independent functioning and reduces the need for regular battery changes. While water quality sensors keep an eye on things like pH, dissolved oxygen, turbidity, and certain impurities in the water, weather sensors measure things like temperature, humidity, air pressure, wind speed, and wind direction. A microcontroller organizes data transmission via a wireless transmitter, interprets sensor data, and manages power. For real-time processing, the gathered data is sent to a distant station or server.

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 Keywords

Microcontroller, Water Quality Sensors, Solar Panel Integration, Enclosure Aesthetics

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 Abstract

A form-fitting textile contains an electrocardiography SoC, flexible electrodes, battery, and antenna. The clinical standard ECG, a 3-lead, is recorded by this "smart shirt". The data is safely sent wirelessly, using less than lmW and a flexible antenna and on-chip ISM band radio to provide secure, continuous cardiac monitoring on a smartphone. A practical and non-invasive method of tracking vital signs and identifying different health markers is provided by smart textiles, which have emerged as a viable solution for continuous healthcare monitoring. The latest developments in smart textile technology for heath monitoring are examined in this paper. It talks about how textiles can be equipped with sensors and actuators to monitor physiological data like respiration rate in real time. The study also looks at the difficulties in designing smart textiles, such as washability, comfort, and durability, and it presents creative solutions to these problems. Since the 3-lead ECG sensor measures heart rate by varying our muscle movements without interfering with the user's daily activities, this project creates a painless way for the body to sense the heart rate through the three contacts points that sense high muscle movements. The t-shirt's embedded connections produce a heart rate, display the current electrocardiogram (ECG) condition, and sound a buzzer to alert the wearer to various situations.

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 Keywords

Electrocardiography (ECG), System-on-Chip (SoC), Flexible electrodes, 12-lead ECG, ISM band radio.

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 Abstract

We present a fully integrated single-stage power amplifier operating. Among all non-linear power amplifier classes, the class-E power amplifier stands out for its simplicity and high efficiency. In order to create the suggested power amplifier at 1.8V, this class was selected. Using the same transistors at the same frequency and output power, class-E amplifiers often operate with power losses that are around 2.3 lower than those of traditional class-B or class-C amplifiers. Because of the input waveform's strong driving, the common source transistor functions as a basic switch when in use. As long as the cascode bias voltage Vb is high enough to place transistor M2 in the triode region, the voltage can rise to a point where the common gate transistor is also switched. This configuration improves the amplifier's dependability by allowing for less swing in the drain-gate voltage. Our solution improves gain, bandwidth stability, and linearity over the operational spectrum by utilizing an inductively degraded common-source CMOS power amplifier in conjunction with a cascode topology. While noise figure typically holds less relevance in power amplifier design, we optimize the matching network to minimize noise figure and maximize power gain The suggested circuit has been successfully designed and implemented using Cadence Virtuoso tools at 45nm, 90nm & 180nm technology. This paper depicts a comparison of power of the RF Amplifier of Class E with respect to 180nm technology with the referenced paper[1] where the power consumption is observed as 10.69mWatts for 180nm where in our paper power consumption is reduced to 3.669uWatts.

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 Keywords

CMOS (Complementary Metal Oxide Semiconductor), RF Amplifier (Radio Frequency Amplifier), SNR (Signal to noise ratio), comparison, performance evaluation

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This work presents an Aquatic Waste Cleaning Robot (AWRR) powered by a Raspberry Pi microprocessor and equipped with a near infrared (NIR) sensor. AWRR addresses the problem of water pollution with a system designed to identify and eliminate waste in water bodies. The Raspberry Pi allows real-time data processing and control, while near-infrared sensors detect waste based on spectral signatures. AWRR uses mechanical equipment to clear and locate debris and navigate waterways. Today's technology offers effective methods for wastewater management and can be used in many areas.

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 Keywords

Trash management, intelligent trash, robotic lake cleaning, Raspberry Pi, and smart cities

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This paper presents a comprehensive solution for fault detection in three-phase transmission lines utilizing ESP8266, a microcontroller-based platform, in conjunction with a GSM module for remote communication. Transmission line faults pose significant challenges to power system reliability and require swift detection and response mechanisms to minimize downtime and ensure uninterrupted power supply. Upon fault detection, the ESP8266 triggers the GSM module to transmit fault information to a central monitoring station or the person who is controlling the system, enabling remote monitoring and swift response to faults. Experimental results demonstrate the effectiveness and reliability of the proposed ESP8266 and GSM module-based fault detection system, highlighting its potential for deployment in real-world power distribution networks to enhance fault management and system resilience

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 Keywords

Transmission network, Three phase fault location, ESP8266, GSM

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In today's fast-paced world, the safety and security of cars is critical. These issues are intended to be fully addressed by the Vehicle Security System for Accident Detection, Theft Prevention, and Engine Locking Mechanism project. This ground-breaking solution makes use of cutting-edge technology to lock the engine, stop theft, and identify accidents, giving car owners peace of mind and improving road safety in general. Modern sensors and clever algorithms are incorporated into the system to detect accidents in real-time, allowing for prompt aid and response. Strong anti-theft features, such as GPS tracking and immobilization systems, also protect the car from unwanted access and theft attempts.

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 Keywords

Vehicle Security System, Accident Detection, Theft Prevention, Engine Locking Mechanism, Automotive Safety, Anti-Theft Technology, Vehicle Alarm System, GPS Tracking, Remote Locking, Collision Sensing

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 Abstract

Vedic multiplier architecture is used in the construction of a 32-bit RISC V processor to improve speed and decrease computational complexity. Its Vedic Sutra-based ALU and MAC units, which are implemented in Verilog HDL and simulated using the Xilinx design suite, lower power consumption and latency as compared to traditional architectures. Comprising of conventional components such as Control Unit, Register Bank, Programme Counter and Memory. The processor can carry out up to 16 instructions. It is an effective option for a variety of computer jobs since it provides increased speed, decreased power consumption, and reduced area utilisation.

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 Keywords

Reduced Instruction Set Computer, Von Neumann architecture, Verilog HDL, Vedic Mathematics, Urdhva-Tiryagbhyam Sutra.

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Although prior research has frequently disregarded the effects of the pregnant uterus's mechanical constriction of the left renal vein, preeclampsia poses major health hazards to both mothers and infants. This work used two different approaches: first, it investigated the relationship between elevated blood pressure and renal damage and constriction of the left renal vein in mice. Secondly, it developed an automated version of the supine pressor test (SPT) to help pregnant women determine their preeclampsia risk. The results of the study conducted on mice suggested that acute renal failure and a considerable rise in blood pressure could be brought on by persistent renal vein stenosis. From a human perspective, the research noted that when non-pregnant women switched from sleeping on their left side to resting on their back, proving that expectant mothers were capable of doing the SPT on their own. In conclusion, this study provides a promising technique for the early diagnosis of preeclampsia in pregnant women and illuminates possible underpinnings of the condition.

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 Keywords

Supine Pressor test, Mechanical compression, Renal necrosis, Blood pressure increase, Renal vein constriction, Preeclampsia, Early diagnosis

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This paper delves into the ASIC implementation of an RV32IMAC RISC-V System-on-Chip (SoC), focusing on its adaptation for diverse surveillance applications. By harnessing the capabilities of RISC-V architecture, the SoC is designed to offer a flexible and efficient platform for surveillance tasks in varied environments, including industrial sectors, war zones, and radioactive fields. Through meticulous architectural design and optimization strategies, the SoC achieves a balance between performance, power efficiency, and cost-effectiveness. Notably, it integrates specialized instructions tailored for surveillance operations, alongside robust support for sensor integration and real-time data processing. Furthermore, the SoC's implementation leverages advanced techniques to ensure reliability, scalability, and compatibility with emerging surveillance systems. With its ability to handle complex tasks autonomously and facilitate seamless communication via IoT-based services, the ASIC implementation of the RV32IMAC RISC-V SoC represents a significant advancement in the realm of surveillance technology, promising enhanced situational awareness and threat mitigation capabilities.

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 Keywords

RV32IMAC RISC-V System-on-Chip (SoC ), cost-effectiveness

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Focusing on FPGA-based home automation with the Basys 3 board, this project integrates sensors for temperature monitoring, door status detection, and remote-controlled operation of an LCD projector. Verilog programming facilitates real-time temperature monitoring, activating fans as necessary. Reed sensors detect door openings, automatically triggering light activation for enhanced convenience and security. Through FPGA control, users can remotely operate the LCD projector, enhancing home entertainment system flexibility and accessibility.

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 Keywords

Home automation, FPGA board, Verilog, security

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 Abstract

Ground penetrating radar (GPR) image recognition accuracy and efficiency have been greatly enhanced by deep learning. A significant number of weight parameters must be specified, which requires lots of labeled GPR images. However, obtaining the ground-truth subsurface distress labels is challenging as they are invisible. The traditional data augmentation techniques, like rotating, scaling, cropping, and flipping, would change the GPR signals' real features and cause the model's poor generalization ability. When the annotated training GPR pictures are not enough, the datasets can be expanded using the suggested data augmentation techniques. When there are not enough annotated training GPR pictures, the datasets can be expanded using the suggested data augmentation techniques.

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 Keywords

GPR (Ground penetrating radar),GPR signal, GPR picture

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 Abstract

This article integrates a subscription-based strategy with a revolutionary technique to wireless dynamic car charging (WDCC). The system's seamless charging capabilities while vehicles are in motion are intended to meet the growing demand for effective electric vehicle (EV) charging infrastructure. The suggested approach does away with the requirement for conventional plug-in charging stations by wirelessly transferring electricity to EVs via inductive charging technology embedded in highways. Users can use the WDCC service through a subscription-based approach, which eliminates the burden of human intervention and enables convenient and ongoing payment. In addition to guaranteeing income creation for service providers, the subscription model gives EV owners freedom and cost. The suggested WDCC system's technical features, advantages, difficulties, and possible implementation methods are all covered in this study.

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Wireless dynamic car charging (WDCC), Subscription-based model, Electric vehicles, Inductive charging technology

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 Abstract

Graphical password authentication methods have garnered attention as an alternative to traditional text-based passwords, aiming to improve both security and usability. Nonetheless, numerous existing graphical password systems encounter usability challenges, such as poor memorability and susceptibility to various attacks. In this study, we introduce an innovative graphical password authentication approach intended to mitigate these usability issues while upholding security standards. Our approach incorporates both image recognition and user-generated patterns to establish a multi-layered authentication framework. Initially, users select a memorable image from a predefined array of categories and subsequently overlay a personalized pattern onto the chosen image. We integrate advanced image processing techniques to bolster resistance against shoulder surfing and other potential attacks. Furthermore, we conducted a usability assessment involving a diverse participant pool to evaluate the efficacy of our proposed approach. The findings indicate noteworthy enhancements in memorability and user satisfaction when compared to existing graphical password systems. In summary, our approach presents a promising avenue for enhancing the usability of graphical passwords while maintaining robust security measures

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SECURITY SYSTEM USING IRIS

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The goal of the project "Self-Navigation Robotics: Mastering Autonomous Path" is to create an intelligent robot car that can drive itself from a starting point to a user-specified destination while dynamically changing its course to avoid obstacles in real time. In order to accomplish flawless autonomous navigation in challenging surroundings, the project blends a powerful combination of sensor technologies, innovative algorithms, and hardware components. This study presents a unique camera module, LiDAR, ROS2, Gazebo, and Raspberry Pi self-navigating vehicle system. LiDAR enables accurate 3D mapping and obstacle recognition, while ROS2 provides seamless system integration and communication. Gazebo provides a reliable simulation environment for verifying system functionality prior to a system being physically deployed. The Raspberry Pi functions as the main processing unit, managing decision-making algorithms and combining sensor data. The camera module improves versatility in a range of circumstances by enhancing perception with visual signals in addition to LiDAR. More advancements are possible when the system architecture prioritizes scalability and real-time responsiveness. Experimental validation the system's autonomous navigation competency highlights its potential for robotics research and industrial automation applications.

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 Keywords

Self-navigating automotive system, Camera module, LiDAR, ROS2, Gazebo, Raspberry Pi, 3D mapping, Obstacle identification, Simulation, Central computing unit, Sensor data fusion, Real-time responsiveness

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 Abstract

In this paper, Sericulture involves raising silkworms to produce silk and is crucial for India's development. Temperature and humidity are vital for healthy silkworm growth. We used a MEGA controller to monitor silkworms in real-time. Image processing helps identify infections of silkworms. The MEGA controller automates tasks like temperature control, reducing manual work for farmers. It also monitors the environment in the silkworm rearing room. Image processing detects color changes in silkworms, indicating the infections.

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SMART SERICULTURE USING IMAGE PROCESSING

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In contemporary times, significant resources are allocated towards implementing antiquated security measures to deter border trespassers. In high-risk areas where conventional military tactics may falter, various military entities employ robotic assistance. These military-grade robots are clandestinely deployed and outfitted with a suite of technologies including cameras, sensors, metal detectors, and camouflage. The primary objective of our system is to seamlessly blend into the surrounding environment, while also boasting additional functionalities such as an infrared sensor for intruder tracking and Wi-Fi connectivity for real-time data processing. Consequently, the proposed Wi-Fi system minimizes errors in defense operations, thereby bolstering national security against potential intruders.

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 Keywords

Blending into environment, Military-grade Robots, IR (Infrared), WI-FI (wireless fidelity)

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This project outlines a cost-effective 3D scanning solution utilizing Arduino Nano technology. It utilizes structured light to capture the geometry of objects. The hardware setup comprises an Arduino Nano microcontroller, a camera module, and a laser module for structured light projection. Software-wise, it employs an open-source computer vision library for image processing and depth map generation. The workflow involves system calibration to ensure optimal performance and accuracy. Once calibrated, the structured light pattern is projected onto the object, and images are captured by the camera. These images are then processed to extract depth information, enabling the reconstruction of the object's 3D model. The resulting point cloud data can be refined further for improved accuracy. To evaluate the scanner's performance, experiments are conducted with objects of various shapes and sizes. Metrics such as accuracy, resolution, and scanning speed are analysed to gauge its practical usability. Overall, the developed 3D scanner demonstrates its ability to generate detailed and accurate 3D models, making it suitable for applications like rapid prototyping, reverse engineering, and educational purposes.

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 Keywords

Low-cost 3D scanner, Arduino Nano microcontroller, Rapid prototyping, Calibration for optimal performance.

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This paper shows a comparison of power requirement and delay consumed between the 4 - bit ALU that is designed using a fin-shaped field-effect transistor [FinFET] and the traditional CMOS to demonstrate a better and efficient 4 - bit ALU in terms of delay and power consumption. The aim of this work is provide a Comparative Analysis of Arithmetic Logic Unit (ALU) Performance using CMOS and FinFET Technologies. ALU is a fundamental component in digital circuits, performing arithmetic and logic operations. The transition from CMOS to FinFET technology has brought significant advancements in terms of power efficiency, speed, and scalability.

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 Keywords

ALU (Arithmetic Logic Unit), CMOS (Complementary Metal Oxide Semiconductor), FinFET (Fin Field Effect Transistor), technology, comparison, performance evaluation

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By combining cutting-edge sensors and machine learning on Raspberry Pi, the "Weather Wizards using Machine Learning and Raspberry Pi" initiative transforms weather forecasting. By implementing Random Forest algorithm we record temperature, humidity, precipitation, wind speed using four sensors namely (wind, temperature, humidity, rain) . We deliver real-time forecasts for sunny, cloudy, windy, and rainy days .This ground-breaking system represents a huge advancement in weather prediction, serving applications and businesses that depend on accurate and fast weather data

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 Keywords

Weather Forecasting, Machine Learning, Raspberry Pi, Real-Time data, Sensors.

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 Abstract

In the world of wireless communication, there is an increasing demand for high-performance MIMO (Multiple Input Multiple Output) antenna systems tailored for smartphone applications. MIMO technology increases data rates, coverage, and reliability by using multiple antennas for transmission and reception. However, integrating MIMO antennas within the constraints of compact smartphone designs is fraught with difficulties, particularly in terms of guaranteeing adequate isolation between antenna parts to minimize interference. This work investigates the design and implementation of a MIMO antenna system specifically designed for smartphone applications in order to establish and maintain excellent isolation between antenna sections. Many design strategies are investigated, including better materials, decoupling techniques, and antenna element placement. In addition, recent advances in the fields of metamaterials, smartphone form factor integration, and micro antenna designs are discussed. Furthermore, the study addresses performance metrics including data throughput, power economy, and dependability, providing an understanding of the practical uses of these advancements. This paper's main objective is to promote MIMO antenna systems for smartphones by offering a comprehensive grasp of the challenges, solutions, and most recent developments in achieving high isolation within small form factors.

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 Keywords

Smartphone applications, High isolation.

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This paper presents and focuses on the design and development of a A Human Following Robo (HFR) is a technology that can follow a human operator in an autonomous manner. Maintaining a constant distance and orientation in relation to the human operator is the major goal of the HFR. while navigating through indoor and outdoor environments. Key components of the system include computer vision for people recognition and tracking, obstacle avoidance mechanisms, and motion control strategies. The effectiveness of the proposed HFR system is evaluated through extensive simulations and real world experiments, demonstrating Its capacity to accurately track and follow a human operator in various scenarios. The results highlight the potential of HFRs as versatile and intelligent robotic assistants capable of enhancing human-machine interaction and productivity in diverse applications. The development of Human Following Robots (HFRs) represents a significant advancement in robotics technology, offering the potential to revolutionize various industries such as surveillance, healthcare, and entertainment. These robots are designed to autonomously track and follow human operators, facilitating seamless human-robot interaction and enhancing productivity in dynamic environments. This paper aims to explore the design, development, and evaluation of an HFR system capable of intelligently tracking and following a human operator. By leveraging a combination of sensors, actuators, and control algorithms, the HFR system enables intuitive and efficient navigation while maintaining a safe and consistent distance from the human operator.

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Human Following Robo (HFR), Obstacle Avoidance, Object detection, Burning source code to processor

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This paper focuses on the development of a versatile robotic arm with advanced functionalities, aiming to enhance automation in diverse industries. Integrating precision engineering and smart control systems, the robotic arm demonstrates agility and adaptability for various tasks, such as assembly, pick-and-place operations, and intricate manipulations. Employing state-of-the-art sensors and machine learning algorithms, the system ensures optimal performance and safety. This project contributes to the evolution of robotic technology, addressing real-world challenges and fostering efficiency in industrial processes. Developing a cutting-edge robotic arm is the primary objective of this project, aimed at revolutionizing automation across industries. Leveraging advanced materials and sophisticated control algorithms, the robotic arm exhibits unparalleled precision and adaptability. Integrating innovative sensing technologies and machine learning, it excels in complex tasks, offering a transformative solution for assembly lines, manufacturing, and research applications. This project underscores the pivotal role of robotics in shaping the future of automation, showcasing a versatile and intelligent robotic arm that pushes the boundaries of technological innovation.

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 Keywords

Robotic arm, Automation, Precision engineering, Machine learning algorithms, Industrial processes

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Wild animals become more aggressive when wounded because they're scared and confused and may think you're trying to capitalize on their vulnerable state. They're more likely to lash out and bite or scratch you than to accept your help. To address this, our project proposes an alerting system using YOLOv3, a real- time object detection algorithm based on deep convolutional neural networks, to classify and monitor animals that are hurt in Zoo or forests. This algorithm enables efficient identification and tracking of animals, aiding safeguarding wildlife observers and ensuring the preservation of wildlife in their natural habitats.By this wildlife monitoring robotic car using IOT, wildlife observers may get up and personal with wild creatures. An ESP32 is used in this system. The system receives these orders using a Wi-Fi module. We can capture the images of the wildlife continuously. And able to detect the wildlife.We are using the MLX9061an infrared thermometer designed for non-contact temperature sensing to measure the temperature of the animals and an ultrasonic non-contact type of sensor used to measure a wildlife's distance.

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 Keywords

Image Processing, YOLO Algorithm, Convolutional Neural Network, COCO, ESP,UNO,IDE.

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 Abstract

A Camera-Based Surveillance System utilizing Raspberry Pi proves highly advantageous for crime detection, monitoring various environments, and swiftly gathering evidence of illicit activities such as theft. This system is tailored for both residential and commercial spaces, ensuring prompt detection of any unauthorized actions.Operating on Raspberry Pi, equipped with a camera-based circuit, the system continuously scans its surroundings for motion. Upon detecting any motion, it promptly triggers an alert mode. This mode activates an alarm and captures images of the motion for future reference. Consequently, the system functions as an effective security measure, providing real-time monitoring and evidence collection. To further enhance its capabilities, integrating a GSM modem for alert SMS notifications or connecting to IoT for remote alarm activation can be considered. This augmentation ensures seamless communication of alerts to relevant parties, amplifying the system's effectiveness in safeguarding the monitored premises.

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Raspberry Pi, GSM module, Stepper motor, webcam, PIR sensors, GPIO, Ethernet and USB

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 Abstract

This paper introduces the Aquaponics Monitoring and Fish Feeding Automation System (AMFFAS) is an innovative solution leveraging the principles of Internet of Things (IoT) technology. AMFFAS aims to improve the efficiency and sustainability of aquaponics systems by automating fish-feeding processes and providing Inspection and coordination. The system comprises interconnected components, including IoT sensors, actuators, microcontrollers, and a central control unit. FFAAMS integrates an intelligent feeding system that dynamically adjusts feeding schedules and portion sizes based on factors like fish biomass, growth rates, and environmental conditions. This approach optimizes feed utilization, minimizing the risk of overfeeding and promoting healthy fish environments. Furthermore, AMFFAS offers Inspection and coordination through a user-friendly interface accessible via web or mobile applications. Aquaponics practitioners can remotely monitor system parameters, receive alerts for abnormal conditions, and adjust settings as needed. This feature enables proactive management of aquaponics systems, ultimately contributing to heightened productivity and sustainability.

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Wireless dynamic-: Aquaponics, Fish Feeding Automation, IoT, Aquaponics system efficiency, Remote Monitoring

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 Abstract

This paper's primary goal is to use an Arduino Mega microcontroller kit and Internet of Things devices to pinpoint the precise position of a fault in an underground wire. Instead of using overhead electrical lines, the metropolitan area uses an underground electrical cable wire. However, pinpointing the exact position of a break in an underground wire can be challenging, making repairs more challenging. Because of deterioration, subterranean conditions, vermin, etc., underground wires are vulnerable to malfunctions. Since we are unsure of the precise position of the problem, the entire cable needs to be dug out for inspection and fault repair. Our suggestion is to precisely locate the problem so that it can be rectified, making the repair process easier. A fault occurs when two lines are too close together; the network combination of the resistors determines the voltage that is produced at that location. After detecting the voltage change, the microcontroller alerted the user. The user receives information regarding the precise location where that voltage coincides. With the aid of a microcontroller, the fault's information is displayed on the LCD.

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Microcontroller, Internet of things, Electrical cables, Cable fault, Aurdino mega, GSM module.

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 Abstract

Centered on FPGA-based home automation utilizing the Basys 3 board, this project seamlessly integrates a suite of sensors tailored for temperature monitoring, door status detection, and remote-controlled operation of an LCD projector. Leveraging Verilog programming, the system ensures real-time temperature surveillance, with the capability to activate fans for optimal environmental control. Reed sensors are strategically deployed to detect door openings, triggering automated light activation, thus enhancing both convenience and security within the household. Empowered by FPGA control, users can remotely manipulate the lights, fans, and LCD projector, thereby augmenting the flexibility and accessibility of the home entertainment system

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 Keywords

Home automation, FPGA board, Verilog, security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project aims to develop an underwater inspection drone that can navigate easily underwater and allow us to vide live video footage underwater. The drone provides following advantages including: Easy to Navigate Underwater, 360 Degree Direction Control, Live Footage Viewing, Dual Motor Propulsion system, Lightweight and anti-rust design for long term usage. The RC drone uses 2 x motors for propulsion and a separate motor for depth/direction control. Both motors are attached with propellers to achieve this task. This mechanism makes use of a unique rudderless mechanism using motor drives to control 360 degree movement of the drone. This mechanism does not make use of ballast tanks to control buoyancy. The drone consists uses the 2 motors to provide front drive as well as for left right direction control. The 3rd motor is used to control the vertical alignment of the drone. This motor in combination with other 2 motors is used to dive in or bring up the drone. All motors and controller unit is enclosed in a water proof chamber. The drone now uses a camera to capture footages underwater. These footages are transmitted to the floating buoy unit from there user can connect via wifi to check the footages. The system makes use of a raspberry pi controller for footage transfer as well as wifi transmission. Also the buoy unit is used to pullout the drone in case it gets stuck or runs out of battery under water

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ballast tanks, RC,under water, buoy unit.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The literature survey on underwater unmanned vehicles (UUVs) reveals a diverse array of applications stretching across underwater exploration, defense, and various commercial implementations. The technological landscape encompasses sonar-based navigation systems, acoustic communications, and adaptive control algorithms, which propel UUVs to undertake complex missions such as seabed mapping, oceanographic research, mine countermeasures, and offshore infrastructure inspection. Defense applications include mine warfare, autonomous surveillance, and reconnaissance missions. Moreover, commercial applications comprise underwater inspection, maintenance of subsea installations, and environmental monitoring. Advanced technologies are employed in UUVs, such as autonomous underwater vehicle (AUV) designs, sensor fusion, underwater acoustic communication systems, and high-precision navigation algorithms, reflecting the interdisciplinary nature and extensive potential of UUVs in addressing a wide spectrum of underwater challenges and opportunities. This paper compares the evolution of underwater vehicle with technology and advancement for the purpose of underwater communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Underwater unmanned vehicle, Autonomous underwater vehicle, Underwater communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper introduces an approach utilizing a fin-shaped field-effect transistor to illustrate the structure of a 6T SRAM cell. The primary goal is to enhance the presentation's competitive edge while concurrently reducing the power usage and read/write delay inherent in conventional 6T SRAM cell designs. Given the increasing demand for rapid mobile computing, traditional CMOS SRAM cell configurations face performance constraints and significant power demands. This research undertakes a thorough examination of power consumption and read/write delay parameters associated with low-power SRAM cell designs. Furthermore, an exhaustive comparative analysis is performed between 45nm nano-scaled technologies and the emerging FinFET-based 6T SRAM cells, with a particular emphasis on their respective power efficiency and operational speed characteristics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SRAM Cell Design Using FinFET for Low Power and Delay

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the miniaturization of electronic devices, interconnects (the pathways for data flow) are not shrinking as fast as the devices themselves. This inefficiency leads to problems with power consumption, area usage, and signal interference (crosstalk). To address this issue, the paper explores the use of serial links, which transmit data one bit at a time, as a replacement for traditional parallel buses that send multiple bits simultaneously. Serial links offer several advantages, including fewer connection points (pins), lower power use, smaller physical connectors, and better resistance to noise. The proposed architecture is simulated using a standard CMOS technology and industry-recognized simulation tools. The simulations are set up to evaluate factors like power consumption and data processing speed (throughput) under realistic operating conditions. The paper then compares the performance of this new design with previously reported architectures, highlighting improvements in power savings, area usage, and overall functionality. By analyzing the simulation results and comparisons, the paper demonstrates the significant benefits of the proposed architecture in terms of reduced power consumption, efficient chip area utilization, and improved data processing. Finally, the paper concludes by summarizing the key findings and advancements achieved with this design.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SerDes, CDR, Serializer, De-serializer, TSPC Flip Flop.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This flexibility upgrades its viability in recognizing and neutralizing landmines in different geological areas, making it a profitable device for mine clearance operations around the world. With the use of cutting-edge sensors and technology, the Smart Traffic Density Management and Monitoring System maximizes urban traffic flow. By adjusting traffic lights dynamically in response to real-time density data, it minimizes traffic and travel time. It offers government and commuter interfaces that are easy to use while smoothly integrating with the current infrastructure. Reliability, scalability, and flexibility to shifting traffic conditions are guaranteed by embedded system architecture. The technology also improves safety by pointing out potential dangers and encouraging other forms of transportation during rush hour. All things considered, it's a creative way to successfully control urban traffic and promote sustainable travel.

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Creative Commons Attribution 4.0 and The Open Definition

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Traffic, congestion, traffic light, vehicles

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study suggests a method for using the Raspberry Pi, an inexpensive, multipurpose microprocessor, to operate anesthetic machines. In order to precisely provide anesthetic gases and vapors to patients during surgical procedures, anesthesia machines are essential medical equipment. Customization and integration with contemporary healthcare systems are frequently restricted by the proprietary hardware and software used by traditional anesthetic machines. Through the utilization of Raspberry Pi's capabilities, we offer an adaptable and economical approach to control anesthetic machines. Our system makes use of sensors to keep an eye on critical factors including oxygen content, pressure, and gas flow rates. It then provides real-time feedback to guarantee precise anesthetic delivery. By analyzing this data and modifying the machine's settings accordingly, the Raspberry Pi maximizes patient comfort and safety .Moreover, our methodology facilitates smooth integration with electronic health records

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Creative Commons Attribution 4.0 and The Open Definition

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Anesthesia, Raspberry Pi, Heartrate, Temperature, SPO2, Body Wetness, infusion.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Developing a cryptography model that can translate legible writing from common language and converse is the aim of this research. For SoC level FPGA, the AES 128-bit symmetric cryptography technique is used to avoid malware in both hardware and software. The ideal AES design with an enhanced security scheme is also described in this study. The suggested model enables pipelined reusing of the same hardware. Furthermore, suggests expanding the use of dynamic key extraction in cryptosystems to increase randomness through the addition of outer layer security. A completely automated process for creating keys framework utilizing digital biometrics is utilized to produce a 256-bit key with enhanced randomness for 32 From the provided digital biometric, pixels are randomly selected, and the values of all the selected pixels are concatenated at random to generate a 256- bit encryption key.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AES (Advanced Encryption Standard), FPGA (field programmable gate array), LUT (Look up table), Mbps (megabit per second), sub (sub bytes), shift (shift rows), mix (mix column), add (add round key).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This design proposes a solar- powered robot for drawing solar panels, exercising solar energy for both power generation and drawing operations. The system integrates rechargeable batteries, a robotic platform with drawing mechanisms, and a mobile app for stoner control. It's ideal is to optimize solar panel performance by maintaining cleanliness without homemade intervention. The robot's cleaning mechanisms are designed for effectiveness and minimum panel damage. Control commands are transmitted via Bluetooth from the mobile app, enabling real- time monitoring and adaptation. The tone- sustaining power system ensures nonstop operation, suitable for remote or out- grid installations. Overall, this innovative result offers a cost-effective and sustainable approach to solar panel conservation

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino, Cleaning, sensors, Brushes, Bluetooth, Automation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To fulfill the demands of globalization in the construction of buildings and infrastructure, India has recently made a significant effort in constructing the infrastructure, including expressways, power projects, and industrial structures, among other things. Concrete and cement are commonly utilized in construction and building techniques across the globe. It is necessary to switch to green concrete from Ordinary Portland Cement (OPC), since OPC uses more energy and harms the environment. In this study fly ash is used as an alternate to OPC, as fly ash has a high silicate and alumina content, it combines with an alkaline solution to form an alumino-silicate gel, which bonds the aggregate and results in high-grade concrete. The concrete mix proportioning used is M30 GRADE and activation of geo polymer concrete is done using alkaline activators such as sodium hydroxide and sodium silicate solutions, finally checking the mechanical strength properties of GPC in comparison with conventional concrete

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alkaline Activators, Durability, Fly ash, Strength.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents a detailed analysis of retractable roofs. The retractable roof is a versatile architectural feature designed to provide flexible shelter and climate control for various structures, such as stadiums, arenas, and outdoor spaces. This innovative technology allows for the seamless transition between open-air and covered environments, offering protection from adverse weather conditions while maintaining an open-air experience when desired. It aims at enhancing the overall spectator experience and ensuring uninterrupted gameplay, regardless of adverse weather conditions. This innovative system involves mechanized panels and sections that can be opened or closed. The length of retractable roofs increases with the demand for more flexible and light construction, and such requirements mark retractable roof structures more sensitive to wind actions. The project outlines the potential impact of this innovative solution on the sports industry and multipurpose events.

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Creative Commons Attribution 4.0 and The Open Definition

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Analysis, design, modeling, roofing material, STAAD PRO, trusses, retractable, Stadium.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Using lignin extract to mend craters has shown favorable results in addressing the challenges posed by pavement distresses on roads and highways. Traditional methods for repairing craters involve resource-intensive hot asphalt mixtures, resulting in temporary fixes. This project introduces an innovative approach using additive extrusion technology and lignin extracted from coconut coir for more efficient, cost-effective, and durable pavement repairs. By blending lignin with bitumen and incorporating urea formaldehyde polymer, this method helps in utilizing the full benefits of a pavement and offers a sustainable alternative to traditional materials. This eco-friendly solution not only strengthens road surfaces but also contributes to greener road maintenance practices, ensuring safer and increases the durability of pavements.

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AN INNOVATIVE EXPERIMENTAL TECHNIQUE OF ADDITIVE EXTRUSION MEND FOR CRATERS IN PAVEMENT

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Creative Commons Attribution 4.0 and The Open Definition

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The focus of present researchers shifted towards utilizing local available alternative materials with binding properties in concrete as a cement replacement. Utilization of agricultural waste with pozzolanic properties in concrete will further aid for sustainability. Thus, the present study is initiated evaluate the mechanical of pervious concrete with sugarcane ash replacing cement. Porous concrete is gap graded concrete mix with minimum or no fine and which allow water to percolate in to the earth beneath the pavement. Porous concrete being used as structural layer in the pavement, the concrete mix shall require minimum structural strength, as well as the permeability properties. M20 concrete mix design process is adopted in the present study, with an assumption that the cement mortar just coats the aggregate and does not completely fill any voids. The dried sugar cane waste is incinerated at 2500 C to get the sugarcane ash, which is further sieved through 150 microns sieve, and the passing fraction is used in mix as a partial replacement for cement. Concrete cubes with sugar cane ash replacing cement in ratios of 0 %, 0.5 %, 1 %, and 1.5% by weight were prepared to evaluate the 7 days, 14 days and 28 days compressive strength. The compressive strength (N/m2) obtained for 0.5% is 112, 191, 120, 1% is 205,210,218. and 1.5% is 280,292,302 for 7, 14 and 28 days respectively.

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Compressive Strength, Porous - Concrete, Sugarcane-Ash

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Curing is said to be the method of maintaining minimum moisture content after construction to develop the desirable properties. In many situation curing is not possible so, to overcome those situation we are using chemicals to attain the process of curing. The chemicals like Poly-vinyl alcohol (PVA)and Poly ethylene glycol (PEG-400) contribute on cement by giving good Strength and hydration rate. This self curing agents gave better compressive strength and split tensile strength.

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"AN EXPERIMENTAL INVESTIGATION OF SELF CURING CONCRETE INCORPORATED WITH PEG - 400 AND PVA".

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 Abstract

The process known as liquefaction, which occurs when there is an excess of "pore water pressure" and a drop in the frictional resistance of the soil after an earthquake, is what causes the solid ground to change into a liquid condition. Sands that are loose or somewhat wet and have poor drainage, such clayey or silty sands, are susceptible to liquefaction. The standard penetration test (SPT) and the cone penetration test (CPT), which are favoured to evaluate the liquefaction potential of soil, are examples of in-situ tests that are the foundation of common liquefaction evaluation techniques. Rearranging the soil particles into tighter arrangements increases density and is known as densification. Using the stone column strategy, soil stability is increased as part of the ground-up improvement process. To compress the soil and raise its density, drop a large weight onto the ground several times from a considerable height

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Creative Commons Attribution 4.0 and The Open Definition

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densification, liquefaction, mitigation, stone column, pore water pressure

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study is to analyze the compressive strength of concrete by partially replacing cement with Fly Ash and Ground Granulated Blast Furnace Slag (GGBS). The use of supplementary cementitious materials, such as Fly Ash and GGBS, in concrete production has gained significant attention due to its potential to enhance the sustainability and durability of concrete structures. This study is to work out the effect of mineral admixture GGBS and Fly ash in concrete of grade M-40 when it is added in & replaced for the fresh state and hardened state i.e. for workability and strength of concrete using OPC (43 grade). As mineral admixture GGBS and Fly ash have been added to OPC which varies from 20% and 40% at interval of 20% &40% by total weight of OPC, various range of addition and replacement of cement by GGBS and Fly Ash in the concrete. All mixes of concrete will examined for workability as slump test of fresh concrete. Hardened concrete is examined for Compressive strength for 7days,14days and 28 days. Slump will be analysed as compared to that of addition of GGBS & Fly ash.The research findings contribute to the understanding of the performance of concrete mixtures containing supplementary cementitious materials and offer practical recommendations for their utilization in construction. By addressing these objectives, this research endeavors to advance the knowledge and practice of sustainable concrete production and promote the responsible use of Fly Ash and GGBS in the construction industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cement, Coarse aggregates, Fine aggregates, Fly Ash, GGBS(GROUND GRANULATED BLAST- FURNACE SLAG)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present era design of any structural element would be a challenging task. Design of compression members being most challenging to decide the section is capable to withstand or bear the force applied on it. Hence design of Structural members are always designed based on number of trails and error method. While undertaking many trails, design calculations with their design checks proves a length and time consuming. Hence, in the present study efforts are put to build the stock of various design combinations of compression members by pre-assuming the sectional date and applying forces, moments on it. And suitable conclusion will be made at the end.

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DESIGNED TABULATIVE COUPLING OF RC COMPRESSION MEMBERS-A SIMULATIVE APPROACH

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In civil engineering and construction, a piled raft foundation, also referred to as a raft with piles or a piled mat foundation, is one kind of foundation structure. It is frequently used to poor soil conditions, such as soft clay, loose sand, and extremely compressible soils. To increase load carrying capacity and settlement, the piled raft foundation combines the advantages of deep foundations and shallow raft foundations. It's crucial to keep in mind, nevertheless, that the design and building of PRF need for meticulous engineering study and consideration of site-specific factors, including soil conditions, structural loads, and foundation system behaviour. The study focuses on the PRF system's vertical load carrying capacity and settlement reduction under both eccentric and concentric stress on sand. To find out how different pile alignment and length affected the PRF's ultimate load, small-scale model tests are carried out. The study's findings suggest that the PRF system can minimize differential settlement and boost the raft's load bearing capacity by carefully placing the piles in optimized position. The study specifically aimed at how changing the pile's length to diameter (L/D) ratio affected their ability to support loads. The results of the research work indicate that strategical placing the piles in the PRF system improve the load bearing capacity and reduce the settlement.

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Creative Commons Attribution 4.0 and The Open Definition

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Piled raft foundation, cohesion less soil, Load improvement ratio

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Availability of conventional materials for concrete is cause for concern worldwide. In recent years significant global initiatives to use both local and waste materials in concrete has taken place. One of these materials is rice husk, which when incinerated under regulated conditions and if finely pulverized may be utilized as a substitution for cement in concrete. In order to understand the impact of Rice Husk Ash (RHA) on the mechanical and durability characteristics of concrete when used as a partial cement replacement, a thorough assessment of the relevant literature on Rice Husk Ash (RHA) is conducted. Due to its significant pozzolanic qualities, RHA has the ability to replace cement upto 30% without affecting the structural integrity of concrete. The main objective of this study is to find the optimum percentage of replacement of Rice Husk Ash based on compressive strength and flexural strength of concrete. Thus, the use of RHA as a partial alternative to cement in concrete can offer additional environmental benefits, such resource saving and the management of agricultural waste, while simultaneously encouraging a circular economy in the construction sector.

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 Keywords

Rice Husk Ash, Partial replacement, Optimum Percentage

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, concrete of grade M40 is studied by using Ground Granulated Blast furnace Slag (GGBS)(10%, 20%, 30% and 40%) and Rice Husk Ash (RHA) (5%, 7.5% and 10%) as partial replacement of cement and by using Quarry dust(0%, 15%, 30%, 45%, 60%, 75%, 90% and 100%) as partial replacement of sand. Compressive Strength properties are studied. Study is carried out in three phases and the optimum replacement level is found out.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GGBS, RHA, Quarry Dust, Compressive Strength

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Curing of concrete is the process of maintaining satisfactory moisture content in concrete during its early stages to develop the desired properties. However good curing is not always practical in many cases the present study deals with the effect of polyethylene glycol (PEG)and poly-vinyl alcohol (PVA) on concrete and their contribution to strength which are carried out. The effect of admixtures in mechanical characteristic of concrete i.e., compressive strength, split tensile strength by varying the percentage of PVA and PEG-400 from 0% to 2.5% by weight of cement is studied for M30 grade of concrete and the optimum percentage of PEG and PVA in self-curing concrete with conventional concrete with water curing is compared. The optimum percentage with PEG is coated with PVA and strength analysis is done. Curing is one of the most important factors for achieving maximum desirable strength in concrete, concrete should be cured properly so that it is fully hydrated and loss of moisture inside the concrete should be reduced. Poly vinyl alcohol and polyethylene glycol-400 is locally available chemical which can be used as a self-curing agent in concrete so that moisture in the concrete can be maintained and concrete can be fully hydrated

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-curing concrete, polyethylene glycol, poly-vinyl alcohol, M30 grade

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents a comprehensive comparison of thermal barrier coatings (TBCs) utilizing zirconia and environmental barrier coatings (EBCs) incorporating silicon carbide and aluminum oxide. Through rigorous experimental testing and computational analysis, key performance metrics including thermal insulation, erosion resistance, and durability are evaluated. The findings elucidate the distinctive strengths and weaknesses of each coating type, facilitating informed decision-making for optimal material selection in high-temperature applications

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PERFORMANCE COMPARISION OF TBC's & EBC's

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A significant amount of energy is wasted by vehicles when they pass over speed breakers due to friction. However, this energy can be used to generate electricity. In this project, we propose a smart speed breaker system that captures energy from vehicles and converts it into electrical power.

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Creative Commons Attribution 4.0 and The Open Definition

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Traffic Sign.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Transforming non-motorized vehicles into motorized alternatives presents a compelling avenue for modernizing traditional transportation modes while upholding sustainability. This study investigates the integration of electric propulsion systems into non-motorized vehicles to enhance their efficiency, range, and ease of use. By bridging the gap between conventional and modern transport systems, this study aims to offer eco-conscious solutions aligned with contemporary needs. Our primary objective is to demonstrate the feasibility and potential benefits of this conversion process, thereby unlocking new possibilities for personal and commercial transportation. This report details the methodology, technical aspects, challenges, and outcomes of the conversion process, aiming to contribute to the discourse on sustainable transportation solutions and inspire future developments in this transformative field.

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Creative Commons Attribution 4.0 and The Open Definition

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Non-motorized, Technical aspects, e-Bike.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper discusses a new safety system for vehicles that integrates power window mechanisms with various sensors to enhance passenger safety in emergencies. The goal is to deploy the existing power window infrastructure to automate window operation in dangerous situations, facilitating a rapid and safe exit from the vehicle. The proposed system includes a control unit connected to multiple sensors, including tilt, water, air quality, fire, and gas sensors. These sensors monitor the vehicle's environment for signs of danger. The tilt sensor detects if the vehicle has rolled over or is at a severe angle, while the water sensor identifies submersion in water. The quality of the air sensor checks for harmful gases, and the fire and gas sensors alert to fire or high gas levels. If an emergency is detected, the control unit activates the electric window mechanism to open the windows, allowing passengers to exit safely. This system provides a cost-effective solution by utilizing existing power window technology, making it easier to implement in current vehicle designs. It adds an additional layer of safety, enabling quicker evacuation in emergencies. The integration of this system into vehicles can dramatically decreases the likelihood of accidents or other hazardous situations. In summary, this safety system utilizing power window mechanisms and various sensors shows great potential approach for improving vehicle safety. By leveraging existing technology, it offers a practical and efficient solution to enhance passenger safety in emergency scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Power Window Mechanism, Vehicle Safety, Emergency Sensors, Passenger Safety

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, Al-Mg-Si alloy has been used as the matrix material to develop metal matrix composites with silicon carbide particle particulates as reinforcement material. The different mesh size of SiC particles was chosen by varying wt.% (1%, 3% and 5%) and preparation was done through the stir casting method. Microstructure evaluation has been done for the formed composite material. Taguchi's technique was used to find the optimization, Analysis of Variance (ANOVA) and mathematical model were generated through regression method to validate the experimental results obtained for hardness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANOVA, Hardness, Matrix, Composite

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An abstract of 3D printing could highlight its transformative impact on various industries and disciplines. It would likely mention its ability to fabricate intricate objects layer by layer from digital designs, offering unprecedented flexibility and customization. Additionally, the abstract might discuss the diverse range of materials used in 3D printing, from plastics and metals to biomaterials, enabling applications in fields such as aerospace, healthcare, automotive, and consumer goods. Furthermore, it might touch upon emerging trends such as large-scale construction and the integration of artificial intelligence to optimize printing processes. Overall, the abstract would emphasize 3D printing's potential to revolutionize manufacturing, design, and innovation across numerous sectors.

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3D PRINTING USING IOT

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Creative Commons Attribution 4.0 and The Open Definition

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We examine the revolutionary effects of artificial intelligence (AI) on education in this thorough investigation, paying particular attention to the critical ideas of personalized learning and adaptive assessment. The research explains how education has changed historically. AI's integration into educational paradigms emphasizes how crucial it is to provide learners with learning experiences that are specifically personalized to them. It also explores the field of AI-powered adaptive assessment, explaining how it differs from traditional testing methods. The paper provides a comprehensive overview of this educational revolution by synthesizing case studies, existing literature, and developing trends.

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AI IN EDUCATION: PERSONALIZED LEARNING AND ADAPTIVE ASSESSMENT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's corporate world, network and data security is a major concern. Many different types of businesses, such as financial institutions, law firms, schools, healthcare, telecommunications, mining, and government organizations, have a strong demand for strategic data management techniques. Businesses lose sensitive data, such as biometric and financial information, to competitors and other parties as a result of hackers' activity. Businesses are losing millions of dollars as a result of malicious people gaining access to unprotected data. Businesses now place a great value on data security. Protection is required to guarantee information security. Using encryption algorithms to protect communications in these kinds of threads is one of the most important and practical solutions available. Performance and security are two factors that the developer must take into account while creating an extremely secure Android application. Android-based applications must perform better because Android smartphones have constrained resources. The most widely used secure encryption algorithms Rijndael, Serpent, and Two fish will be evaluated in this study to see which works best in order to overcome the issues.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

telecommunications, android, encryption algorithms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Biometric authentication systems have gained significant attention due to their ability to provide secure and convenient access control. This project proposes a novel approach to biometric authentication using Python, leveraging machine learning techniques and computer vision algorithms. The system integrates facial recognition, fingerprint recognition, and voice recognition modalities to enhance authentication accuracy and robustness. The system begins by capturing biometric data from users through respective sensors(camera, fingerprint scanner, microphone). Preprocessing techniques are applied to clean and normalize the data, followed by feature extraction to extract unique biometric features. Machine learning models, such as Convolution Neural Networks (CNNs) and Support Vector Machines (SVMs), are trained on the extracted features to learn the patterns specific to each user. During the authentication phase, the system compares the input biometric data with the stored templates using appropriate similarity metrics. Fusion techniques are employed to combine the results from multiple modalities, enhancing the overall authentication accuracy and reliability. Keywords-recognition, authentication, security.

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BIOMETRICS USING PYTHON

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Setting up an email account involves confirming ownership through a link sent to the provided email address. Personal questions, like favorite colors or pets' names, may also be asked for added security. Email services monitor login locations and usage patterns to detect suspicious activity. Two-factor authentication adds an extra layer of security by sending a code to the user's phone. Account recovery processes often include sending a reset link to an alternate email or mobile number. During email sessions, encryption and session management techniques are used to protect user data. Automatic logout may occur after a period of inactivity to prevent unauthorized access. These measures collectively ensure email account security and user verification.

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Creative Commons Attribution 4.0 and The Open Definition

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EMAIL AUTHENTICATION USING CRYPTOGRAPHY

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A brain-machine interface, also referred to as BCIs, is a type of technology that enables people to interact with technology through their brain. It allows them to bypass the need for physical controls by connecting their brain activity to external devices. These systems are able to interpret brain signals and translate them into commands for various devices, such as computers and robotic arms.

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BRAIN COMPUTER INTERFACE UNDER AI

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Big Data is a term used to describe large and complex datasets that require powerful computing tools and analytics methods to extract meaningful insights. The rapid growth of data in the modern era has led to an explosion of Big Data sources including social media, sensor data, email logs, and more. This report provides a comprehensive over view of Big Data, including its definition, its characteristics, its sources, and its applications. We need big data when the user has large amount of data, it has noisy and inconsistency. Traditional data storage cannot able of handling large volume of data hence we need a big data analytic. In big data the data can be Structured type, Unstructured type and semi structured type. Big data has characteristics and it is also called as 5V's. We discuss the challenges posed by Big Data, including storage, retrieval, and analysis, and we describe several tools and technologies used to address these challenges.

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BIG DATA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Data mining is described as sifting via very huge amount of records for beneficial information. Some of the vital and famous records mining techniques are classification, clustering, prediction. Data mining methods are used for range of applications. In health care industry, data mining plays an necessary position for predicting diseases. For detecting a sickness number of exams should be required from the patient. But the use of data mining method the wide variety of check be reduced. This reduced check plays an important position in time and performance. This method has an benefits and disadvantages. This paper analyzes how data mining techniques are used for predicting one of kind sorts of diseases. This paper reviewed the research papers which mainly targeted on predicting heart disease, Diabetes, breast cancer.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DISEASE PREDICTION USING DATA MINING

  License

Creative Commons Attribution 4.0 and The Open Definition