This paper presents the analysis and development of a smart noise information collection system utilizing the Spectrum Analyzer SVAN 958A to enhance real-time noise monitoring and data analysis. The study addresses the limitations of traditional noise measurement tools, which often lack real-time processing and comprehensive integration with modern data management platforms.
The Internet of Things (IoT) enables the creation of networks between devices, people, applications, and the Internet, creating new ecosystems with higher productivity, better energy efficiency, and higher profitability. Nodes in these networks must have the ability to communicate and exchange data, which requires the use of data transfer protocols. However, choosing the right protocol for a specific use case is not always straightforward.
The proper detection and prevention of malfunctions are crucial in mitigating maintenance costs and equipment replacements for agricultural vehicles, ultimately reducing the expenses associated with crop cultivation. Predictive analytics for agriculture vehicles leverage machine learning and sensor data to anticipate equipment faults, optimize maintenance schedules, and enhance operational efficiency in the farming industry.
Smart greenhouses use Internet of Things (IoT) technology to monitor and control various factors that affect plant growth, such as soil humidity, indoor humidity, soil temperature, rain sensor, illumination, and indoor temperature. Sensors and actuators connected to an IoT network can collect data on these factors and use it to automate processes such as watering, heating, and ventilation. This can help optimize growing conditions and improve crop yield. To enable their vegetative growth and development, plants need the right amount of water at the right time. The objective of this work
Many food contamination incidents have occurred during the last decade which has proven the failure of the food supply chain management system to track the food, money, and information movement within the food supply chain. Many models have been established. This paper presents the design and implementation of the new model providing real-time data acquisition, monitoring, and storing on a tamper-proof blockchain of the main food supply movement.
Nowadays, many cities all over the world suffer from noise pollution. Noise is an invisible danger that can cause health problems for both people and wildlife. Therefore, it is essential to estimate the environmental noise level and implement corrective measures. There are a number of noise identification techniques, and the choice of the most appropriate technique depends upon the information required and its application. Analyzing audio data requires three key aspects to be considered such as time period, amplitude, and frequency.
The article is devoted to the study of new technologies in warehouses; the essence of the “distribution channel” is considered through the analysis of the definitions of this term by various authors; the difference between the supply channel, the goods movement channel and the distribution channel was analyzed; the main changes and problems in the field of distribution over the past few years have been identified; describes the most innovative technologies for digitalization of warehouses.
This paper has been devoted to the development of session analysis systems with IoT devices for protection against botnets and as a consequence of the protection of Internet of Things devices from the intrusion of malicious bot networks. To implement it, our own botnet based on the SSH protocol has been developed. To ensure high reliability and decentralization, the botnet manages through a separate database server, which
Unsuitable climatic conditions, various natural disasters and instability and unpredictability of the weather significantly complicate cultivation, and sometimes make it even impossible. To ensure the best conditions for cultivation and the highest yields, farmers began to use greenhouses. However, in our hectic lives, people are constantly busy with something and there is no enough time. Long trips, business trips, vacations are also possible. It is becoming increasingly difficult to provide the necessary conditions for plants to grow on their own.
The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages.