In the proposed article the slot loading effects has been analysed by loading the slot on the different position of rectangular patch and the performance parameter has been shown for the proposed structure. Loading the slots on the rectangular patch improving the Antenna Gain, RL and the Bandwidth parameters. The antenna has been designed on the HFSS software.

Our main aim of this “SMART WASTE BIN MONITORING SYSTEM USING ARDUINO”, provides a smart technology for waste management system, which results in healthy, and waste ridden environment. By using SOLAR PANEL, the electrical energy is stored in a Battery source. This Battery is used for the total circuit, which does not need any power source from any street posts.

This study aims to compare and evaluate the usability of mobile game interfaces to reveal heuristic design principles. By collecting and analyzing a large amount of data on mobile game interfaces, this study has identified some important design principles. First, the usability of mobile game interfaces is closely related to the simplicity and intuitiveness of user interaction.

This paper examines the prospects for augmented, mixed, and virtual reality in digital storytelling and future trends. The background information highlights the increasing use of digital storytelling in various fields, including entertainment, education, and marketing. The purpose of this study is to explore the potential impact of augmented, mixed, and virtual reality technologies on the future of digital storytelling.

In recent years, natural language processing (NLP) has become an important component in the development of human-computer dialogue systems. This paper presents the design and evaluation of a human-computer dialogue system based on NLP. The objective of this study is to develop a system that can effectively understand and respond to natural language input from users.

This paper aims to explore user preferences in augmented reality shopping, focusing on interface design and product visualization. The study involved surveying a sample of participants who were asked to evaluate different interface designs and product visualization techniques in augmented reality shopping applications. The results showed that participants preferred a user-friendly and intuitive interface design, as well as realistic and detailed product visualization.

With the continuous development of the natural language processing field, the pre-training model has achieved remarkable results in text processing tasks. As a representative, the BERT model achieves leading performance on multiple natural language processing tasks by pre-training and fine-tuning. However, with the deepening of the research, the BERT model has also exposed some problems, such as the high training cost and the large model scale.

With the development and application of information technologies such as artificial intelligence, big data, and cloud computing, research on augmented reality technology has become a major focus in the field of information technology. Augmented reality technology, which allows virtual scenes and real scenes to interact deeply with the assistance of computer graphics and sensing technologies, not only integrates virtual information into real scenes but also enhances the transmission of various types of information such as images, sounds, and sensations.

Variational Autoencoders (VAEs) have become a popular deep generative model for unsupervised learning. This paper aims to investigate the effectiveness of VAEs in learning latent representations and generating meaningful samples. By leveraging the recognition and generative models in VAEs, a variational lower bound on the data log-likelihood can be optimized through backpropagation.