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Proceedings on Engineering Sciences
Scopus
ISSN 2620-2832 · University of Kragujevac · 1.017 artikel di indeks
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Artikel Jurnal Teks lengkap
SYNERGY BETWEEN INDUSTRY 4.0 AND PERSONAL DATA PROTECTION: LEGAL CHALLENGES AND COMPLIANCE STRATEGIES
The rise of digital technologies is driving a profound transformation in our society, affecting not only the way we communicate but also our lifestyles, work habits, and social interactions. Industry 4.0, which integrates smart technologies into production processes, represents the current…
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A FAULT DETECTION MODEL FOR PREDICTIVE MAINTENANCE OF A WIND TURBINE BASED ON A HYBRID DEEP LEARNING APPROACH
In the context of Industry 4.0, predictive maintenance of wind turbines is a crucial issue for optimizing their performance. This article proposes a new hybrid deep learning approach, aligned with the principles of Industry 4.0, to improve the predictive detection of failures in wind turbines. By…
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ENERGY TRANSITION IN ACTION: THE IMPACT OF SOLAR SYSTEMS IN MOROCCAN PROCESSING UNITS
This study assesses the feasibility of integrating photovoltaic (PV) systems into agricultural processing units in Drâa-Tafilalet, a region with high solar potential. Faced with rising energy costs, PV systems offer a sustainable alternative for units like Difat Ziz and Zrigat, specialized in date…
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EVALUATION OF CONCRETE MIXED USING IS 10262:2019 FOR RECYCLED COARSE AGGREGATE IN SUSTAINABLE CONCRETE APPLICATIONS
This study evaluates the mix design of concrete incorporating Recycled Coarse Aggregate (RCA) following the guidelines outlined in IS 10262:2019, which encourages RCA usage in construction without providing specific directions for its integration. The focus is on defining the concrete grade when…
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VALIDATION OF FLOOD ROUTING TECHNIQUES IN AN ANDEAN MICRO-BASIN
Flood routing describes the process by which a river network conveys runoff downstream, considering mass balance and the speed at which the flood wave propagates. Flood routing methods are generally classified into two categories: hydraulic and hydrological methods. In this study, two hydrological…
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EVALUATION OF MECHANICAL PROPERTIES OF CLAY ADOBES REINFORCED WITH SHEEP'S WOOL FIBERS FOR THERMAL INSULATION APPLICATIONS
This study analyzes the incorporation of sheep's wool fibers in clay adobes and evaluates their mechanical properties through bending and compression tests. Different optimal proportions of materials were determined, showing that adobes with 1% sheep's wool reached a compressive strength of 2.22…
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DIABETES MELLITUS PREDICTION FRAMEWORK USING ARTIFICIAL NEURAL NETWORK MODELS
With increased occurrence of diabetes mellitus, novel mechanisms for its early and precise detection, and strategies for its control are required. The disease poses increased risk of the onset of cardio-vascular and kidney ailments, among others, and when uncontrolled, may prove lethal. This study…
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PARAMETRIC STUDY ON THE INFLUENCE OF TENDON DIAMETER AND SLAB DEPTH ON THE LOAD-BEARING CAPACITY OF PRESTRESSED HOLLOW-CORE SLABS
This work evaluates how tendon size distribution and member depth affect the flexural performance of prestressed hollow-core slabs, with the total prestressing steel area kept constant. A parametric numerical program was carried out in Concise Beam, considering tendon diameters of 5, 10, 15, and 20…
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A NONLINEAR FINITE ELEMENT INVESTIGATION OF CONTACT-INDUCED STRESS AND DEFORMATION IN TUBULAR WARREN TRUSS STRUCTURES
This study presents a nonlinear finite element analysis (FEA) and geometric optimization of a tubular Warren truss subjected to variable loading conditions using ANSYS Workbench. The investigation focuses on the influence of sectional area ratio (2A₁/A₂) and depth-to-thickness ratio (h/t) on…
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PADDY PLANT DISEASE DETECTION THROUGH IMAGE PROCESSING USING DEEP LEARNING
Plant diseases are one of the most significant factors that lead to poor yield and a major threat to food security in the agricultural sector. One of the essential parts of cultivation is plant disease detection. Monitoring or taking care of plant diseases manually is very difficult, as it requires…
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IMPACT OF TENDON PROFILE ON ENHANCING LOAD-DEFLECTION BEHAVIOR AND STRESSES OF PRESTRESSED CONCRETE BEAMS
Shear failure mechanisms in prestressed concrete beams are strongly affected by tendon geometry, yet current design codes, including the American Concrete Institute Code (ACI 318-19) and Egyptian Code of Practice (ECP 203-2020), do not provide clear guidance for optimizing tendon profiles. The…
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REHABILITATION OF DAMAGED FLAT SLAB USING FIBER REINFORCED POLYMERS FRPS
Flat reinforced-concrete (RC) slabs are widely adopted in modern construction due to their structural efficiency and architectural versatility, yet they remain susceptible to punching shear and flexural cracking. This study experimentally evaluates the rehabilitation of damaged RC flat slabs using…
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ERGONOMIC REDESIGN AND EVALUATION OF PERSONAL COMPUTER MICE: ADDRESSING MUSCULOSKELETAL INJURIES AND ENHANCING USABILITY
The extended use of the classic computer mouse is strongly linked to muscle pains and injuries to the hand, wrist, and forearm, especially in tasks that require an individual to operate a point-and-click input device frequently. This work describes the design, manufacturing, and experimental…
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A FAST TRANSIENT CAPACITOR-LESS LDO REGULATOR WITH ACTIVE FREQUENCY COMPENSATION
This paper introduces a low dropout (LDO) regulator designed for system-on-chip applications, operating without an external output capacitor. The design uses a folded cascode amplifier and an active capacitor circuit with a fast comparator to detect the offset voltage at the output in order to…
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SUBSYSTEM DESIGN FOR NEUROMORPHIC COMPUTING
This article involves the circuit design of Convolutional Neural Network (CNN) activation functions, crucial components of deep learning architectures, alongside Spike-Timing-Dependent Plasticity (STDP) circuitry. These activation functions play a vital role in network performance, and the…
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NOVEL IN-MEMORY COMPUTING CIRCUIT USING MULLER-C ELEMENT
The proposed research work addresses the von Neumann bottleneck, a limitation in computing systems where data transfer between memory and processor components slows down performance. In contrast, In-Memory Computing (IMC) reduces energy consumption and enhances computing efficiency. The research…
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DESIGN AND EVALUATION OF LOW POWER MAC FOR MACHINE LEARNING APPLICATIONS
Approximate computing offers the advantages of reduced hardware complexity and improved performance that may be suitable for applications that possess a certain level of tolerance towards error in terms of accuracy. This paper presents the design of an approximate Multiply-And-Accumulate (MAC)…
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AI-DRIVEN SUBJECTIVE ANSWER EVALUATION: INTEGRATING OCR AND SEMANTIC SIMILARITY FOR INTELLIGENT LEARNING ENVIRONMENTS
The rising interest in proficient and objective grading methodologies in education has prompted the development of an Automatic Grading System for Subjective Exams. Our research work makes an attempt to utilize Optical Character Recognition (OCR) technologies and semantic similarity models for…
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SHIP PREDICTIVE CONTROL SYSTEM DESIGN BASED ON THE VESSEL DIGITAL TWIN
Model Predictive Control (MPC) is defined as a model-based approach, thus necessitating the development of an internal predictive model, that is both reliable and realistic. It is not feasible to carry out this identification process on a real ship, due to the trials number and duration of each…
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OLIVE SOLID WASTE-BASED CONCRETE
Agricultural waste has gained increasing potential for use in various civil engineering applications such as mortar, concrete, and additives, due to its abundance, recyclability, and promising environmental and energy-saving benefits. Our innovative green concrete material, based on Olive Solid…
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