Volume 12 | Issue 5 |

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transmission network, Three phase fault location, ESP8266, GSM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Home automation, FPGA board, Verilog, security

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SECURITY SYSTEM USING IRIS

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Creative Commons Attribution 4.0 and The Open Definition