NUML International Journal of Engineering and Computing

Advancing Road Safety Through Intelligent Vehicle Accident Detection and Reporting Enabled by IoT Innovation

2024-08-06T06:32:52+05:00

The escalating incidence of road accidents poses a significant challenge to public safety, often exacerbated by delays in emergency response. This research introduces an IoT-based intelligent system designed to revolutionize accident management by providing real-time data and critical information to emergency services. By seamlessly integrating Raspberry Pi and Arduino microcontrollers with advanced sensors such as force-sensitive resistors (FSRs), GPS, and potentially additional sensors like accelerometers and gyroscopes, the system accurately detects accidents, assesses their severity, and captures comprehensive data, including passenger images, vehicle details, and precise accident location. Upon impact, the system rapidly transmits this data, along with pre and post-accident images, to a designated emergency response center via a secure and reliable communication network. This swift dissemination of critical information empowers emergency responders to make informed decisions, optimize resource allocation, and prioritize response efforts, ultimately saving lives and minimizing the impact of accidents. The system's intelligence lies in its ability to not only detect accidents but also to assess their severity based on sensor data analysis, enabling a more targeted and efficient emergency response. Furthermore, the system's potential to collect valuable data on accident patterns and causes can contribute to the development of preventive measures and road safety strategies. By leveraging the power of IoT technology, this research aims to significantly enhance road safety and transform accident management practices.

Numerical investigation of future potato yields in Bangladesh using Machine learning and IoT

2024-09-18T07:36:28+05:00

The changing environment has significantly affected Bangladesh for the past several decades, and a number of minerals and nutrients are in short supply in the human population. However, not only are we being affected by the effects of climate change, but also the crops cultivated on our farms are feeling its impact. The nutrient content and growth of food crops are affected by many components of climate change, such as rising temperatures, increased precipitation, rising CO2 levels, etc. It is commonly regarded that potatoes are one of the healthiest and most popular foods in Bangladesh, with an abundance of nutrients and electrolytes that are beneficial to the body. However, in the not-too-distant future, the production of potatoes will be affected by the high temperature and decreased precipitation resulting from climate change. As potatoes are one of the most essential staple foods in Bangladesh, a viable solution must be found for continuous potato production in the country. A comprehensive examination of the evolution, production, and important nutrients of potatoes will be performed in this study. A range of sensors, networks, drones, cameras, and applications will be collected for the purpose of monitoring the potato field and ensuring that the crops are cultivated in an acceptable environment. This idea can aid our country economically and agriculturally by increasing potato production. Potatoes are affordable for consumers from all socioeconomic classes. Through this idea, Producers will achieve a successful harvest of nutrient-rich potatoes for public consumption.

Unlocking the Potential of IoT: Discovering the Next Big Advancements in Connectivity and Automation

2024-01-07T09:10:55+05:00

The Internet of Things (IoT) has revolutionized the way we connect and interact with the world around us, bringing unprecedented levels of automation, convenience, and efficiency. As this transformative technology continues to evolve, researchers and industry experts are exploring emerging trends and technologies that have the potential to shape the future of the IoT landscape. In this article, we provide a brief overview of the current state of IoT and delve into key areas of innovation, including edge computing, artificial intelligence (AI), 5G connectivity, blockchain, and sustainable energy harvesting. These advancements hold immense promise in addressing challenges, enhancing security, enabling real-time applications, and fostering sustainability within the IoT ecosystem. Understanding and harnessing these emerging trends is crucial for unlocking the full potential of the IoT and driving its continued growth and impact on various industries and everyday life.

Keywords: Internet of Things, IoT, edge computing, artificial intelligence, machine learning, 5G connectivity, blockchain, energy harvesting, sustainability.

Design and Analysis of Ridge and Sub-Wavelength Grating Waveguide Based Micro Ring-Resonator Sensor

2024-09-24T03:01:38+05:00

The subwavelength grating microring resonator based filter shows great promise in optical sensing and communication. However, it spectrum nature makes it unsuitable for tracking or extracting a single wavelength from a broadband light source. In this paper, we used side-mode suppression, based on an angular grating- subwavelength microring resonator which offer high flexibility in wavelength design within the silicon-on-insulator (SOI) waveguide. By periodically arranging silicon waveguide pieces in three different widths, we can set the effective index along the inner sidewall of subwavelength microring resonator. thereby can achieve the precise wavelength selection. We examine the effects of various key parameters on the center wavelength, side-mode suppressed ratio, and quality factor of this filter.The proposed structure's isalso analysed for coupling strength between the bus and subwavelength grating ring resonator. The wavelength selection, compact size, compatibility with other similar nature waveguide-based devices and design flexibility highlight its significant potential in compact optical sensing and optical communication