IoT

Important functions of the Internet of Things (IoT) concept include facilitating everyday life, increasing work efficiency and quality, energy saving, and more. Increasingly, data from "things" are transmitted to public communication networks and cloud services. Any objects in the physical world that can be assigned IP addresses and are capable of transmitting data can act as "things" in such a network. Various technologies and protocols are used for data transmission, with more than twenty currently available.

Indoor plant watering is not always effective - people often overwater or underwater plants, wasting water and harming plant health. In view of this, a smart watering system using artificial intelligence that runs on a tiny microcontroller chip has been developed. The proposed system predicts when plants need water and waters them automatically. Testing on 12 plants for 3 months has showed 27% water savings versus manual watering and 15% savings versus simple automated systems. The AI model is only 8.7 KB and runs for months on battery power without Internet.

This paper presents a cryptographic user authentication protocol based on AES in Galois/Counter Mode (GCM) and key derivation using PBKDF2-HMAC-SHA256. The proposed scheme follows a challenge–response model and ensures confidentiality, integrity, and authenticity of transmitted data without disclosing or storing the password in plaintext. A client-server architecture was implemented, with the backend developed in Flask (Python) and the frontend in JavaScript. The protocol incorporates nonce usage, authentication tag verification, and protection against replay and brute-force attacks.

Assessment of the volume and quality of a rower's efforts during training plays an important role in preparing for competitions and improving his results. The article reviews existing commercial solutions, such as rowing simulators and individual sensor devices. It was determined that such proposals allow recording the frequency or trajectory of movement, but do not measure force. They also have limited functionality in real water conditions or high cost.

This paper presents the development and inves- tigation of a speech-to-text conversion and speaker identi- fication system based on a Raspberry Pi microcomputer, designed for local audio data processing in environments with limited network connectivity. The system integrates Silero and WebRTC models for voice activity detection, SpeechBrain for speaker identification, and the Whisper family of models for speech recognition.

The article focuses on innovative measurement and control methods in electrical power engineering, specifically addressing challenges of power quality, signal diagnostics, and automation within smart grids. Emphasis is placed on wavelet analysis, smart metering, IoT integration, and automated control systems. These technologies are examined in the context of enhancing the adaptability and efficiency of modern electrical systems in line with Industry 4.0 requirements.

The rapid expansion of the Internet of Things (IoT) has resulted in a substantial increase of diverse data from distributed devices. This extensive data stream makes it increasingly important to implement robust and efficient real-time anomaly detection techniques that can promptly alert about issues before they could escalate into critical system failures.