Advance Research in Communication Engineering and its Innovations

IoT-Based Implementation of River Water Flow and Water Quality Monitoring for Pico Hydro Power Plant

2023-12-26T09:08:50+00:00

Pico hydro could be an inexperienced energy that victimization little watercourse to come up with electricity while not wishing on any sources of non-renewable energy. This energy offers an inexperienced theme that's reliable, economical and cost-efficient. The problem that unremarkably emerged is the uncertainty of water debit. This could cause harm to the Pico hydropower station instrumentation which additionally results in arrival of the watercourse path. Water that is employed as a drink for folk’s today watercourse water affected thanks to the direct discharge of commercial effluents and domestic wastages into the watercourse. This contaminated water harms the setting affects the health of individuals and causes the destruction of the water system and water shortage state of affairs. To boot unhealthy water quality results in inefficient processes and will increase maintenance efforts in power stations. The planned system is intended to watch the water flow and pH scale level of water in the power station unit and to avoid the watercourse path by fixing sensors across the watercourse path through on Internet of Things (IoT). This project could boost the agricultural folk that live around the Pico power station.

Consume of Artificial Intelligence in Geographic Information System

2024-01-02T09:03:57+00:00

Artificial Intelligence (AI) is a broad and encompassing field within Information Technology, covering a range of concepts. This research paper delves into diverse AI technologies and their applications to improve performance across various sectors. The study aims to investigate both current and future uses of Artificial Intelligence, which serves as the foundational framework for concepts such as computing, software development, and data transmission. The technologies leveraging AI include machine learning, deep learning, Natural Language Generation, speech recognition, robotics, and biometric identification. These applications span sectors such as healthcare, manufacturing, business, and automotive industries. AI offers several advantages, such as the ability to perform multiple tasks simultaneously, cost-effectiveness compared to human labour, and precision and efficiency in operations. However, the application of AI comes with its set of challenges. Technical difficulties, security concerns, data-related issues, and the potential for accidents due to user misunderstandings are among the encountered problems. Despite these challenges, the widespread adoption of AI has transformed various sectors, enhancing organizational performance and fortifying data security. A notable integration of AI is observed in Geographic Information Systems (GIS), representing a transformative fusion that elevates the capabilities and functionalities of traditional GIS. This amalgamation introduces new possibilities for data analysis, pattern recognition, and decision-making within spatial contexts. The following outlines key aspects of implementing AI in GIS: The implementation of Artificial Intelligence (AI) in Geographic Information Systems (GIS) represents a transformative integration that enhances the capabilities and functionalities of traditional GIS. This fusion opens new possibilities for data analysis, pattern recognition, and decision-making in spatial contexts. Here are key aspects of implementing AI in GIS.

Smart Vehicle Surveillance: A PIC Microcontroller and AVR ATmega 382p-Based Approach for Real-Time Accident Detection and Location Tracking

2024-01-04T07:01:09+00:00

In the contemporary landscape of vehicular safety and tracking systems, this research presents a comprehensive solution for a real time vehicle tracking system with an integrated accident detection mechanism. The core hardware components include a PIC microcontroller, piezo crystal, and an AVR ATmega controller interfaced with GSM and GPS modules. The AVR controller interfaces seamlessly with GSM and GPS modules, enabling real time location tracking and immediate response to potential accidents. The piezo crystal serves as a vibration sensor, converting analog signals to digital through the PIC microcontroller's ADC. Upon an accident detection event, the PIC microcontroller communicates crucial data to the AVR ATmega controller, which orchestrates the subsequent actions. In essence, this research contributes to the advancement of intelligent transportation systems by presenting an integrated solution that enhances vehicle safety, tracking, and incident response. The innovative combination of hardware components and software interfaces showcases the potential for widespread adoption in fleet management and individual vehicle tracking applications.

Smart Cold Storage Monitoring for the Vegetable Industry

2024-03-11T10:39:56+00:00

Food security and cleanliness are among the key concerns in arranging to anticipate the wastage of food. Be that as it may, for a need for innovation and numbness almost the impacts of humidity, temperature, and introduction to light and liquor substances on food. This has driven enormous misfortunes in numerous nourishment stores coming about from food rot. Right now, the larger part of food stores and distribution centres still depend on manual checking of the air variables related to food quality. These ordinary food inspection innovations are restricted to weight, volume, color and perspective inspection and as a result, don't give a parcel of data required on the quality of nourishment. The quality of the nourishment ought to be observed and it must be anticipated from decaying and rotting by the barometrical variables like temperature, mugginess and dim. This extension is centred on such a nourishment-checking framework which recommends efficient utilisation of different sensors to perform quality observing and control of food materials. More accurately, this framework comprises gas, temperature, light and mugginess sensors, which give the fundamental data required for assessing the quality of the pressed or put-away item. This data is transmitted wirelessly to a computer framework giving an interface where the client can watch the advancement of the item quality over time utilizing the Web of Things 2 innovation. Afterwards, the natural variables can be controlled like by refrigeration, vacuum capacity and other fitting control measures. This proposed system incorporates gas, temperature, light, and humidity sensors, which collectively provide essential data for evaluating the quality of packed or stored food items. These sensors continuously monitor the environmental conditions surrounding the food, allowing for real-time assessment of its quality. The collected data is then transmitted wirelessly to a computer system, which serves as an interface for users to monitor the quality of the food product over time. The system utilizes Internet of Things (IoT) technology, enabling remote monitoring and control of food quality. Users can access the interface through web-based platforms, allowing them to track the progression of food quality and take necessary actions to maintain freshness and prevent spoilage. Additionally, the system can facilitate environmental control measures such as refrigeration and vacuum sealing to preserve the quality of food products. Overall, this integrated food monitoring system offers a comprehensive solution for ensuring food quality and reducing wastage by leveraging advanced sensor technologies and IoT connectivity. Continuously monitoring environmental factors and providing real-time feedback, enables proactive measures to preserve the freshness and safety of food products throughout the supply chain.

IoT Based Electricity Energy Meter Using Arduino and Esp8266

2024-04-02T09:58:49+00:00

As more people need electricity, many still use old meters. But with Wi-Fi at home, we can use IoT technology to track electricity use online. This system measures voltage, current, and power in real-time. Users can check their monthly electricity use on a user-friendly app or webpage. These pages can even connect to other power companies to automatically generate bills. Real-time values like kilowatt-hours are sent to an online database. Users can see this information on their app or webpage, helping them understand and reduce their electricity use. This device cuts down on manual meter readings and reduces billing errors. By upgrading to this system, households and businesses can better manage their electricity consumption and contribute to a more efficient and sustainable energy future. With the convenience of online monitoring and automated billing, the transition to modern electricity tracking becomes seamless. This innovative solution not only benefits individual consumers but also enhances the overall efficiency of electricity distribution networks. By embracing IoT technology, we can pave the way for smarter and more environmentally friendly energy usage practices.