International Journal of Engineering Technologies and Management Research

IMPROVING THE RESPONSE OF PERMANENT MAGNET SYNCHRONOUS MOTORS TO DISTURBANCES USING PSO TECHNIQUES

2025-04-14T18:49:42+00:00

Permanent Magnet Synchronous Motors (PMSMs) are widely recognized in industrial applications and have become increasingly important in the renewable energy sector, supporting the global shift toward sustainable energy solutions. This study presents a comprehensive analysis of PMSM speed and torque behavior, aiming to reduce ripple effects and enhance overall motor stability. A modified Particle Swarm Optimization (PSO) algorithm is employed to optimize the parameters of a Proportional-Integral (PI) controller under various disturbance scenarios, including sudden changes in load and speed. The proposed control strategy is evaluated using MATLAB/Simulink simulations. Results demonstrate that the optimized PI controller significantly reduces speed and torque fluctuations compared to traditional tuning methods. The improved dynamic performance is evident through reduced current oscillations and enhanced accuracy, with the system showing strong resilience against load disturbances. Furthermore, a comparative analysis highlights the superior performance of the proposed method over conventional approaches, confirming its effectiveness in achieving more stable and efficient motor operation.

ENHANCING AES-LIKE IOT SECURITY WITH DIVERSE S-BOX AND INVOLUTORY MATRIX IN MIXCOLUMNS TRANSFORMATIONS

2025-04-17T06:56:39+00:00

Embedded systems are widely used in various fields, including device-to-device communication, vehicular and maritime mobility, and public infrastructure. These systems often involve the exchange and transmission of sensitive and critical information, which requires protection. However, these devices have limited hardware resources, necessitating compact size and low cost, which restricts the complexity of security algorithms. Therefore, an improved AES algorithm, specifically a lightweight AES-like method, is proposed. It enhances the SubBytes step through dynamic S-box lookups table and uses different 8×8 affine matrix transformations to scramble data. The proposed method is 31% faster than traditional approaches. Furthermore, in the MixColumns transformation, the encryption process using 16×16 involutory matrix achieves 66% speed improvement over the matrix multiplication traditional approach. circulant matrix, while the branch number increases from 5 to 17. Finally, the encryption process also reduces decryption time.

COMPREHENSIVE ANALYSIS OF RECYCLED CONSTRUCTION MATERIALS: IMPACT ON SUSTAINABILITY AND COST EFFICIENCY

2025-04-17T07:07:21+00:00

The rapid pace of urbanization and construction has led to an exponential rise in construction waste, posing significant environmental and economic challenges. This paper explores innovative strategies for reusing construction and demolition (C&D) waste in alignment with energy-efficient and green building standards. By integrating recycled materials into construction processes, we aim to reduce landfill contributions, conserve natural resources, and promote sustainable building practices. The study emphasizes the lifecycle assessment of recycled materials, showcasing their potential to meet structural and thermal performance requirements while adhering to LEED, BREEAM, and other green certification criteria. Key applications include recycled concrete aggregate, reclaimed wood, and upcycled insulation materials. Furthermore, the paper discusses policy frameworks, cost-benefit analyses, and technological advancements that facilitate the widespread adoption of C&D waste reuse. The findings highlight a dual benefit: reducing the environmental footprint of construction and enhancing the energy efficiency of buildings. This research underscores the critical role of circular economy principles in fostering a sustainable built environment.

THE EFFECT OF TECHNOLOGY COMMERCIALIZATION CAPABILITIES ON NEW PRODUCT DEVELOPMENT AND BUSINESS PERFORMANCE: THE MODERATING EFFECT OF BUSINESS REFERENCE

2025-04-17T07:16:44+00:00

In the Fourth Industrial Revolution era, companies face unprecedented competition and market uncertainty, necessitating effective technology commercialization for survival. This study examines how technology commercialization capabilities influence new product development and business performance, particularly investigating business age as a moderating factor. The research analyzed data from 427 Fourth Industrial Revolution manufacturing companies using structural equation modeling, examining relationships between four technology commercialization capabilities (research, absorption, marketing, and manufacturing), new product development, and performance outcomes. Results demonstrated that research, absorption, and manufacturing capabilities significantly impact new product development, with manufacturing capability exhibiting the strongest influence. New product development showed positive effects on both financial and non-financial performance metrics. Notably, business age emerged as a crucial moderator in the relationship between technology commercialization capabilities and new product development. Companies with longer histories displayed stronger effects of research capabilities, while manufacturing and absorption capabilities proved effective regardless of organizational age. These findings enhance our understanding of how different technology commercialization capabilities contribute to business success across various organizational life stages, offering valuable insights for companies aiming to optimize their technology commercialization strategies in an increasingly competitive market environment.