Vol. 6 No. 05 (2024): Volume 06 Issue 05

The Covid-19 pandemic has catalyzed a seismic shift in education, compelling institutions worldwide to adopt distance learning as the primary mode of instruction. This study delves into the experiences and perspectives of senior interior design students amidst this transition. Through qualitative analysis of interviews and surveys, we explore the challenges, opportunities, and adaptations encountered by students in navigating distance learning within the context of interior design education. Themes emerging from the data encompass aspects such as virtual studio environments, collaborative dynamics, technological proficiency, and pedagogical approaches. Furthermore, we examine the implications of remote learning on students' creativity, engagement, and professional development. By illuminating the multifaceted impact of distance learning on interior design education, this research aims to inform pedagogical practices and foster resilience amidst evolving educational landscapes.

This paper explores cooperative control strategies in distributed control systems (DCS), focusing on methods for achieving coordinated and efficient control across multiple interconnected nodes. Distributed control systems are widely employed in various applications, including industrial automation, smart grids, and networked robotic systems, where decentralized decision-making and communication among subsystems are essential. Cooperative control strategies enable distributed nodes to collaborate effectively, share information, and coordinate actions to achieve common objectives while adapting to dynamic environmental conditions. This study reviews existing cooperative control approaches, such as consensus algorithms, distributed optimization, and game theory-based methods, highlighting their advantages, limitations, and applications in different domains. Through a comprehensive analysis, this paper aims to provide insights into the design, implementation, and performance evaluation of cooperative control strategies in distributed control systems.

This article provides an analysis of possible threats and risks in the implementation of voice-based applications. In particular, threat classification according to STRIDE (Spoofing, Tampering, Repudiation, Information disclosure, Denial of Service, Elevation of privileges) methodology, threat risk assessment according to DREAD (Damage Potential, Reproducibility, Exploitability, Affected Users, Discoverability) model and issues of taking protective measures against them are considered

This article presents the results of assessing the technical condition of load-bearing structures for the transfer of a 4-story reinforced concrete frame industrial building to another type of building. In addition, the necessary proposals and recommendations were given for converting the industrial building into a hotel complex.

This article examined the technical condition of a 2-story retail and household complex located in the city of Tashkent, and provided the necessary recommendations for reconstruction. The building is a reinforced concrete frame system and the survey process used existing methods and computer software.

With the increase in smart home adoption, voice-enabled devices like Amazon Alexa, Google Home, and Apple Siri are becoming increasingly abundant. Most of the new homes use these smart devices, and the old ones are upgrading to integrate these voice-enabled assistants. This paper explores a novel study for using voice data, with user consent, to identify the undeclared or non-reported risks within residential properties. By analyzing the speech using the natural language patterns, complaint frequency, and targeted keywords signals, we propose an Artificial Intelligence-based model to measure underlying risks that is not available in the traditional underwriting models has a very high potential to translate risk profiling dynamically, which will lead to improved pricing accuracy, fair pricing and diminish claim leakage in the property insurance.