Asian Countries mostly lying in Subcontinent region are the main producers of Sugar canes. On the other hand, these are the developing countries which mostly face potential energy crisis which ultimately gives rise to sustainable electricity demand challenges. This challenge can be mitigated through the conventional way of bagasse-based cogeneration of power. Therefore, sugar industries can contribute in fulfilling at least their own requirement of plant electricity. But this method in turn produces carbon dioxide (CO2) to the environment which is a major source of Green House Gas (GHG) emissions globally. So, it is the most significant contributor to the global warming, which plays diverse impact on social, environmental, and economic costs. So far, the increasing concentrations of GHGs in the atmosphere are a notable issue. Biochar is one of the products of flash pyrolysis which reduces the GHG emissions and enhancement of soil fertility. This paper proposes flash pyrolysis as a sustainable way of meeting electricity demand with additional benefits over conventional way of burning bagasse in cogeneration, giving the environmental and economic benefits of pyrolysis. Bagasse gasification by flash pyrolysis in the sugar mills could be an alternative option for electricity generation with CO2 negative impact.

The emergence of wireless sensor networks has enabled new classes of application for distributed systems that filter into many inter disciplinary fields. In the recent years, wireless technology has come up with great advancements and is supposed to be a great venture for the researchers. The recent advancements open up many significant energy optimization techniques in Internet of Things. The smart systems can now achieve paramount level of control of user comfort while reducing use of energy. Our main purpose is to construct smart Environment Monitoring and Surveillance system (EMAS). The system periodically measures temperature, light and humidity levels of the atmosphere.When a critical change in the environmental variables is detected, the EMAS system can notify the user via text message on their cell phone. Thus, they will be able to act to critical changes as quickly as possible and it may be able to intercept effects of the critical change. Results are obtained in the field tests reasonably ensuring that the proposed EMAS system possess excellent package delivery high power efficiency. The main goal of this paper is to bring more robustness and enhanced features in the wireless environment monitoring system.

The looming energy crisis is affecting every sector of the world. The dire need to conserve energy has compelled researchers to bring automation to the power sector. The conservation of energy is one of the biggest challenges Third-World countries are facing in general and in Europe due to the Russian–Ukrainian war. There is a need to introduce such systems that can prevent energy loss and let users buy and sell excessive electricity they have. In the field of power and electricity, the Internet of Things (IoT) plays an active role in the conservation of energy. The new concept of smart grids is widely used for efficient transmission. The technique of blockchain can further reduce the wastage of energy and efficient consumption if it is used with smart grids. This article proposes a smart energy meter based on smart grids and blockchain. The proposed implementation is a demonstration containing a few microgrids, each with its very own blockchain. The users will use energy by making transactions, following the smart contracts. The focus is on the peer-to-peer transactions in a microgrid controlled by blockchain. The architectural design outcomes are a smart energy meter, a smart contract on the Ethereum blockchain, and an android application to monitor and control transactions and energy trade via smart contracts with other consumers.

For training young pilots. Flight simulators enhance the safety measures, as the risk factor of severe injuries are eliminated since the training is now synthetic. However, flight simulators also require large space, large budget and does have many high end requirements, which are to be met in order to make the simulator respond and perform identical to that of a real aircraft. Flight simulators does have their hardware constraints and because of these limitations, the simulators are not of generic nature that supports different sort of aircrafts. In this paper, the simulator environment is deployed in virtual reality to simulate the similar controls on a stereoscopic environment. Deployment of the simulator is such, that experience of flying an aircraft from cockpit will give a sensational view to the user. Virtual reality is used in learning purpose, as normal person can experience what it will be like, to fly an aircraft

To achieve the goal of identification, image processing and recognition is performed on the actual picture transformation. The amount of information included in an image is enormous because it is a two-dimensional space. Neural network image recognition is a new type of picture recognition technology developed by modern computer innovation. In this paper we have used neural network to implement image-based location identification. Using the image data, we have evaluated our proposed model’s predictive performance. By including more hidden layers in the convolution neural network, it is feasible to improve the network's training speed and reliability by having a large amount of data. However, 80% of the dataset is used for training and the remaining 20% is used for testing in our studies. The preliminary findings have shown that using a neural network to detect photos is both successful and practical. The proposed methods serve as a guide for travelers or tourists who are unfamiliar with a country. They simply need to point the camera at any historical or well-known location to learn more about it.