Intelligent Systems & Robotic Mechanics

Artifcial Intelligence in Higher Education: A Brief Review of Current Studies

Yang Hang-Yue — 2024-11-05

The rapid advancement of artificial intelligence (AI) in the 21st century has revolutionized various sectors, including higher education. This paper reviews the integration of AI in higher education, focusing on foreign studies and the current situation in China. The integration of artificial intelligence (AI) into higher education represents a pivotal research and development focus in the 21st century. While foreign studies have extensively delved into AI’s role in education, particularly in STEM and computer science, Chinese research has been less prevalent, with a focus on AI’s integration with ideological and political education. This paper reviews the current state of AI in education and proposes future research directions.

Sound-Driven Lighting: An Innovative Approach to Energy Generation through Sound-to-Electricity Conversion

Yashmit Malik — 2024-12-10

The increasing reliance on non-renewable energy sources for lighting has led to significant environmental challenges, necessitating the exploration of sustainable alternatives. This paper presents a novel approach to energy generation by converting sound energy into electricity, specifically for lighting applications. By leveraging the principles of electromagnetic induction, this study demonstrates the potential of using sound waves to generate electrical power through a system that captures sound using woofers, converts it into mechanical vibrations, and subsequently transforms it into usable electricity. The proposed system stores the generated electricity in batteries, offering a sustainable alternative to traditional lighting solutions in various settings, such as bus stops, hotels, theaters, honk areas, and markets. The paper reviews the theoretical underpinnings of sound energy conversion, analyzes the system’s efficiency, and explores its practical applications. The findings suggest that sound-driven lighting could serve as an eco-friendly and cost-effective solution, contributing to the broader goal of sustainable energy development. Future research directions are proposed to optimize conversion efficiency and expand the range of applications for this innovative technology.

New Developments in English Teaching and Translation Methods in the Converged Media Environment: An AI-Based Analysis

Qilin Xuan — 2024-12-06

The rapid evolution of converged media has fundamentally transformed modes of information dissemination, presenting new opportunities and challenges for English teaching and translation methods. Concurrently, the rapid advancement of artificial intelligence (AI) technologies offers robust technical support for language education and translation practices. This study investigates the applications and innovations of AI in English teaching and translation within the context of converged media, with a focus on its role and potential in optimizing teaching methodologies, enhancing translation efficiency, and facilitating cross-cultural communication. By employing literature analysis and case studies, this paper summarizes practical models of AI technology in English education and translation and proposes strategies tailored to the characteristics of converged media. These findings aim to provide valuable insights for future research and practice in related fields.

Review on Construction of Voice Controlled Home Automation Control System using Bluetooth for Elder and Physically Disable People of Addis Ababa, Ethiopia

Begna Asirat Negash — 2024-12-06

The most common challenges for disabled and elderly people worldwide are ON Television, lamps, the Internet, Refrigerators, Fans, and other home appliances. To solve this problem the researcher constructs a Voice-controlled home automation control system. In this research, a voice-controlled home automation system has been presented for elderly and disabled people. The proposed system has the main components of a Voice recognition system. The main object of this system is to control home appliances using voice commands. Based on the received signal from the disabled person at the Bluetooth receiver related to the appliances, desired switching operations are performed. The desired system is a low-power and low-cost system. Home automation appliances are one of the primary growing industries that may change the way people live. Typical Bluetooth (wireless) home automation system allows one person to control household appliances from a centralized control unit which is wireless. These appliances always have to be specially designed to be compatible with each other and with the control unit for most commercially available home automation systems. The designed system can be incorporated as a single portable unit and allows one to wirelessly control lights, air conditioners, fans, security cameras, television sets, electronic doors, computer systems, amplifiers, etc., and turn ON or OFF any appliance that is plugged into a wall outlet, get the status of different sensors and take decision accordingly. The system is movable and designed in a way that is easy to install, configure, run, and maintain. The problem lies with the situation of the elderly or disabled people, who cannot usually help themselves to move around and might need external assistance. People who live alone additionally need a supporting hand at home. Therefore a voice-managed domestic automation appliance system is designed, so that the users can carry out certain jobs with just the use of their voices, additionally, the system is designed to have a hand-held device (remote) so that the elderly or disabled person can easily speak their commands, and otherwise they would have to walk over to the microphone to speak.

Application of Artificial Intelligence (AI) Supported by Human-Computer Interaction Platforms in College English Teaching: An Experimental Study from the Perspective of Cognitive Linguistics

Qilin Xuan — 2024-12-19

In recent years, with the rapid development of artificial intelligence (AI) technology, the application of human-computer interaction platforms in college English teaching has gradually become a research hotspot. However, there is limited research exploring the specific impact of AI-supported human-computer interaction platforms on English teaching from the perspective of cognitive linguistics. This study, grounded in cognitive linguistics theory, investigates the effect of AI-supported human-computer interaction platforms on the enhancement of college students’ English language proficiency through experimental design. The experimental results show that the experimental group using this platform significantly outperformed the control group in terms of vocabulary, grammar, reading, and writing skills, indicating the effectiveness of human-computer interaction technology in language teaching. This study provides new theoretical and practical support for college English teaching and offers suggestions for optimizing the design of human-computer interaction platforms.