ITEGAM-JETIA

Critical review on substitution of natural ingredients with the dimensional stone cutting waste in making of building products

Poonam I. Modi, Rajul K. Gajjar — Thu, 29 Feb 2024 00:00:00 -0300

This paper critically reviews available literature on the utilization of different types of non-metallic minerals obtained from the mining wastes. India is endowed with an inexhaustible mineral resource in the form of coal mines, limestone, sandstone, iron ore, bauxite, and manganese to name a few. The mining industry in India especially the dimensional stone mining is progressing by leaps and bounds but at the same time it is also generating lot of wastes which goes for landfill creating significant environmental issues.. Huge quantities of mining wastes are produced during various operations such as exploration, extraction, processing, cutting, sculpting and polishing. The construction industry too adds to the environment burden ensuing from use of concrete, mortar that uses cement as binder and energy intensive masonry units such as burnt clay bricks. Production of all these construction materials leads to green-house gas (GHG) emissions, depletion of natural resources by extraction of fertile soil, change in land use, dredging of river beds for natural river sand used in mortar and concrete. A substantially viable solution to this looming problem is in tapping the prospects of diverting these wastes as full or fractional replacement of conventional ingredients in making of construction units. This manuscript presents a comprehensive review of the different forms of dimensional stone cutting waste (DSCW) used in manufacturing of building products such as masonry items as brick, blocks, concrete, mortar followed by review of the efficacy of these end products.

Design and implementation of an intelligent electronic project simulator board

Thu, 29 Feb 2024 00:00:00 -0300

The increasing demand for a versatile electronic project board led to the creation of an innovative solution by a dedicated team. This device was meticulously designed to serve the needs of educational institutions, students, and electronics enthusiasts. The existing challenge in this field was the absence of a comprehensive project board capable of supporting complex circuit simulations. Traditional setups lacked crucial features like power supplies, waveform generation, and digital tools, limiting the effectiveness of electronic circuit exploration. The study aimed to address these limitations by developing an electronic project board with an 18W audio amplifier, a versatile function generator, and robust AC and DC power supplies with short circuit protection. Additionally, it incorporated a solderless breadboard, digital oscilloscope, and Arduino Uno board, expanding its utility to Internet of Things (IoT) applications. The board's design included key components such as the LM386 low-power audio amplifier IC, the TL082 dual JFET input operational amplifier, linear voltage regulators, resistors, diodes, capacitors, jack plugs, flexible cables, and a well-connected breadboard. The resulting project board successfully met the specifications, offering a comprehensive solution for electronic circuit simulation. Its adaptability, safety features, and IoT compatibility make it invaluable for both educational and domestic use. In conclusion, this newly developed electronic project board fills a critical gap in electronics experimentation and education. It is recommended for tertiary institutions and students' personal projects, providing a versatile tool for circuit design exploration. Future enhancements could further extend its utility in various applications.

Application of a production planning model based on linear programming and machine learning techniques

Thu, 29 Feb 2024 00:00:00 -0300

The absence of efficient optimization methods combined with Artificial Intelligence concepts has led to inefficiencies and high costs in the production planning of organizations. Thus, this study aims to optimize production planning in an electronic equipment company, using Linear Programming and Machine Learning to support assertive and efficient decisions. The methodological process comprises seven stages: Literature review; Collection and analysis of production data; Application of Machine Learning methods for modelling; Selection of the best model; Development and application of the Linear Programming model; Analysis of results; Validation with stakeholders. The approach resulted in optimized production planning, capable of reducing operating costs and assisting in the daily decision-making of the organization. The Machine Learning forecasting technique achieved an average error of 9%, demonstrating its accuracy in forecasting future demand. This study evidences a robust and promising approach to improve efficiency and effectiveness in production planning operations. In this context, the union between Operations Research and Machine Learning emerges as a response to existing gaps and a driving direction for continuously optimizing these crucial processes.

Development of competencies from project-oriented learning

Lamay Rosa Montero Rojas, Melva García Martínez, Gilberto Juan Machado Burguera — Thu, 29 Feb 2024 00:00:00 -0300

The results achieved show improvements in skills related to solving problems in the real world, as well as in project management through the preparation and socialization of reports, which result in achieving the specific competencies that will allow the student to achieve efficiency, effectiveness, and competitiveness in the organization in question. The proposed methodology can be used to diagnose and correct weaknesses in the training process of future industrial engineers. In addition, content aims to understand the importance of skills training based on Project-Oriented Learning.

Experience using inverted classroom in elective subject I, in the automatic engineering course

Thu, 29 Feb 2024 00:00:00 -0300

The fourth industrial revolution has a strong impact on education and although the initial changes belong more to a purely technological field, the transformations they introduce are directly reflected in the behaviors of society and in the alteration of labor profiles. Faced with this change, Education 4.0 implies a paradigm shift since it is an educational proposal that tries to adapt to the new reality, characterized by connectivity and technology and focuses on the skills that students need to function daily and in their Laboral future. The objective is to present the results obtained in the subject with the application of the Flipped Classroom learning strategy. The inductive-deductive, historical-logical, synthetic analytical and complexity paradigm were used as theoretical methods; the student survey as an empirical method and statistical methods for processing the results of the surveys and the analysis carried out showed that prioritizing systematic evaluation, giving weight to teamwork, the ideas they contribute, the way they are presented and defended is essential to obtain the desired objectives in the training process. As a result, the flipped classroom is used as a learning strategy that achieves a successful link between the use of technology and instructional processes, based on the detection of the students' learning needs.