http://ijaers.com/ Open Access international Journal to publish research paper en-us February The Internet of Things (IoT) describes the network of physical objects embedded with sensors, software and other technologies with the aim of connecting and exchanging data with other devices and systems over the Internet. Therefore, this work aims to develop a system (hardware and software) that allows the interconnection of remote electrical machines to maintenance centers, via the Internet, for the diagnosis of rotor unbalance faults, in real time, through smart sensors, cloud computing and big data. http://ijaers.com/detail/internet-of-things-iot-applied-to-rotor-fault-diagnosis-in-electrical-machines-at-remote-sites/ Nicolly Menezes Bastos, Raphael André Medina, Da Costa Cesar* http://ijaers.com/uploads/issue_files/1IJAERS-0120264-Internet3ofThings.pdf This article thoroughly analyzes the reasons for the low efficiency of existing steam turbine and, through a deep understanding and application of Betz's limit law and blade element momentum theory, redefines the efficiency of newest turbine. http://ijaers.com/detail/the-difference-between-existing-steam-turbine-and-the-newest-turbine/ Qiang Yan http://ijaers.com/uploads/issue_files/5IJAERS-0220268-Thedifference.pdf The modified Euler momentum conservation equation proposed by the author contains a term that represents wave energy dissipation. This term includes an energy loss coefficient that governs the magnitude of energy release. The coefficient is not a constant but a function of hydrodynamic parameters; therefore, an explicit formulation of this coefficient is required. In this study, the energy loss coefficient is derived using the Kinematic Free Surface Boundary Condition, incorporating wave energy, wavelength, and wave period as governing parameters. The resulting formulation enables effective representation of energy dissipation within the modified Euler momentum conservation equation. Consequently, a time-series water wave model is obtained that is capable of realistically passing through the breaking phase and propagating into shallower waters. http://ijaers.com/detail/energy-loss-coefficient-equation-in-the-modified-euler-momentum-conservation-equation-for-a-time-series-water-wave-model/ Syawaluddin Hutahaean http://ijaers.com/uploads/issue_files/2IJAERS-0220263-Energy.pdf This work addresses the development of a low-cost semi-automatic machine for manufacturing concrete blocks, aiming to meet the growing demand in the civil construction industry for equipment that offers greater productivity and economic viability for small and medium-sized entrepreneurs. Based on studies and market analysis, the design and selection of materials and components were carried out to minimize failures related to abrasiveness and dynamic loads. The project consists of a simplified manual-hydraulic system, incorporating constructive solutions typical of high-performance automatic models, with appreciable robustness and wear resistance. The results obtained prove the technical and economic viability of the equipment which has significantly lower cost than automated hydraulic models available on the market. It is concluded, therefore, that the project fully meets the objective of reconciling low cost with durability and high productivity, establishing itself as a competitive and innovative alternative in the civil construction market. http://ijaers.com/detail/development-of-a-semi-automatic-machine-for-manufacturing-low-cost-concrete-blocks-for-the-civil-construction-industry/ Fernando Grava, Geraldo Creci http://ijaers.com/uploads/issue_files/3IJAERS-0120265-Development.pdf The rapid growth of e-commerce platforms has led to a significant increase in the volume of user-generated reviews, making manual analysis of customer feedback impractical. A critical issue in modern marketplaces is the presence of inconsistencies between the textual content of reviews and the numerical ratings assigned by users, which can distort product evaluation and mislead potential buyers. This study addresses the task of automatic sentiment classification of textual reviews to identify such discrepancies. A dataset of 100,000 user reviews from the Wildberries marketplace was collected and preprocessed. A three-class sentiment labeling scheme was applied, categorizing reviews as negative, neutral, or positive based on user ratings. Three approaches to sentiment analysis were implemented and compared: logistic regression with TF-IDF vectorization, a transformer-based BERT model, and a hybrid RuBERT model augmented with convolutional neural networks. Experimental results demonstrate that transformer-based and hybrid neural architectures significantly outperform classical machine learning methods, with the RuBERT-CNN model achieving the highest classification performance. The proposed approach can be effectively applied to improve the reliability of rating systems and enhance moderation and analytics tools in e-commerce platforms. http://ijaers.com/detail/sentiment-classification-of-product-reviews/ N. S. Fedotov http://ijaers.com/uploads/issue_files/4IJAERS-0220265-Sentiment.pdf