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1795 articles for “different”
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Experimental Investigation of the Influence of Coarse Aggregate Size and their Proportioning on the M30 Concrete for CC Pavement
Abstract: Abstract The nominal maximum size (NMS) and proportion of coarse aggregates significantly influence the mechanical properties and performance of cement concrete pavements. While extensive research has focused on concrete mix design, the combined effect of coarse aggregate size and aggregate proportioning on the compressive strength of pavement-grade concrete remains inadequately understood. This study experimentally investigates the influence of coarse aggregate characteristics on the compressive strength of M30 grade concrete. Two …
Published in International Journal of Concrete Technology · Vol. 12, Issue 2, 2026 · pp. 13–23 Read article
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Operational-Amplifier-Based Realization of a 1-BitArithmetic Logic Unit: Design, Implementation, and Experimental Validation
Abstract: This work presents the design, construction, and experimental evaluation of a 1-bit Arithmetic Logic Unit (ALU) implemented entirely with operational amplifiers (op-amps), using only LM324 devices, passive components, and a dual-polarity ±12 V supply on a breadboard prototype. The ALU per- forms eight fundamental arithmetic and logic operations, addition, subtraction, AND, OR, NOT, NAND, NOR, and XOR, by combining op-amp comparator-mode logic gates with op-amp-based summing and difference amplifiers for …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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An Extensive Analysis of QC's Difficulties & Restrictions
Abstract: QC constitutes a fundamental shift in computational paradigms by exploiting quantum mechanical phenomena namely superposition, entanglement, and interference to achieve computational advantages over classical systems for specific problem domains. Despite significant theoretical progress, the realization of large-scale, fault-tolerant quantum computers remains impeded by a range of intrinsic and technological constraints. This paper offers a thorough & critical analysis of the principal challenges associated with QC, with a focus on de- …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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INFLUENCE OF CONSTANT AND VARIABLE PASTERNAK FOUNDATIONS ON DAMPED SIMPLY SUPPORTED BERNOULLI-EULER BEAM UNDER MOVING LOADS
Abstract: This study presents an analytical investigation of the dynamic behavior of a simply supported uniform Bernoulli-Euler beam resting on both constant and variable Pasternak foundations subjected to concentrated moving load with damping. The governing equations of motion were formulated by incorporating the effects of foundation stiffness, shear interaction, damping, and load inertia. Analytical solutions were obtained for both moving-force and moving-mass problems. For the constant foundation case, the Generalized Finite …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 13–29 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Third Generation Biofuel as Alternative Fuel for Compression Ignition Engine
Abstract: In recent years, many researchers have tested compression ignition engines with the goal of creating a diesel fuel alternative. This was also published in literature. The limited supply and increased cost of petroleum products are two main reasons for the search for alternate feedstocks for biodiesel. This paper reviews the potential of alternative biodiesel feedstocks to replace petroleum diesel, specifically focusing on algae biodiesel and the process for producing biodiesel. …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 10–15 Read article
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CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods
Abstract: This paper contributes a conceptual framework to guide the strategic alignment of software selection criteria using a new method - Decision Resonance Method and an established method - ELECTRE III within the existing decision theory frameworks. The analysis contributes empirically tested software selection criteria that will improve the categorization of decision implications This study provides input for decision theory extensions related to information, the value of problem structuring, and its …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 40–49 Read article
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Conversion of Heat Absorbed (Waste Heat) in a Building for Electricity Generation Using a Thermoelectric Generator
Abstract: This study investigates the feasibility of thermoelectric generators (TEGs) for recovering waste heat from building systems and converting it into electrical energy through the Seebeck effect. A journal-scale simulation framework integrating ANSYS thermal modeling with MATLAB/Simulink electrical analysis was developed to evaluate TEG deployment on building envelope surfaces at the Federal Polytechnic Nyak Shendam, Nigeria. Results demonstrate a proportional increase in electrical output with rising temperature gradients, confirming predictable thermoelectric …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Development of an Automated Load-Controlled Thermopower Measurement Technique for Thermoelectric Materials
Abstract: The Seebeck coefficient, or thermoelectric power, is crucial. In order to deliver accurate readings over a wide temperature range, a load-based, high-precision thermoelectric power (TEP) measurement device has been designed, constructed, and experimentally validated in this study. The system is based on a differential DC approach and replaces conventional spring-based contact mechanisms with a shifting mechanical load to avoid errors caused by spring contraction, thermal cycling, and contact instability at …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 7–18 Read article
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Mechanical and Thermal Characterization of Natural Fiber-Reinforced Epoxy Composites for Structural Applications
Abstract: Natural fiber reinforced polymer (NFRP) composites have emerged as promising alternatives to conventional synthetic fiber composites owing to their environmental sustainability, low density, and competitive specific mechanical properties. However, a comprehensive and simultaneous evaluation of both mechanical and thermal performance of jute/sisal hybrid natural fiber epoxy composites under systematic fiber treatment conditions remains insufficiently addressed in the literature. The present study investigates the mechanical and thermal characterization of jute and …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 37–48 Read article
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Interfacial Engineering and Performance Optimization of Jute-Fiber-Reinforced Epoxy Laminates
Abstract: The increasing environmental concerns associated with synthetic fiber reinforced polymer composites have driven substantial research interest toward naturally derived, biodegradable fiber alternatives. This study presents a comprehensive mechanical and thermal characterization of jute fiber reinforced epoxy composites fabricated via hand lay-up followed by compression molding. Jute fibers were subjected to alkali treatment using 5 wt% sodium hydroxide (NaOH) solution for 4 hours at ambient temperature to enhance fiber–matrix interfacial bonding …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 52–64 Read article
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Process Optimization of Copper Phthalocyanine Pigment PB15:3: A Sustainable Solvent Reduction Strategy for Industrial Applications
Abstract: Copper phthalocyanine pigments, particularly PB15:3 (beta-phase), represent cornerstone materials in the global colorants industry with applications spanning automotive coatings, printing inks, and engineering plastics. Conventional synthesis routes for PB15:3 necessitate copious volumes of high-boiling organic solvents – predominantly dimethylaminoethanol (DMAE) and aromatic hydrocarbons – posing significant environmental burdens and economic constraints. This study presents a systematic investigation of solvent quantity optimization in the pigment finishing process of CI Pigment Blue …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 21–40 Read article
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Modern Molecular Breeding Approaches in Apiaceae for Enhanced Agronomic Performance
Abstract: The Apiaceae family, including economically vital crops like dill, coriander, and fennel, faces significant productivity constraints due to narrow genetic diversity and slow conventional breeding. This study presents a robust molecular breeding framework integrating RAPD and SSR markers to accelerate genetic improvement. Five diverse germplasm accessions were evaluated across morphological, biochemical, and molecular parameters. Molecular analysis revealed substantial polymorphism, with SSR markers demonstrating high informativeness (average PIC = 0.73). Notably, …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 19–36 Read article
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An Energy-Efficient CMOS Analog Front-End for Wearable Biomedical Monitoring Applications
Abstract: Because wearable biomedical monitoring technologies allow for continuous, real-time, and remote measurement of physiological parameters, they are quickly becoming a key component of contemporary healthcare. These systems place stringent demands on the analog front-end (AFE), which must accurately acquire and condition extremely low-amplitude biopotential signals such as electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG) while operating under severe power and size constraints. This paper presents the design and simulation of …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 1–10 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Breaking Down Composite Materials: Identifying the Function of Each Component
Abstract: Composite materials are made by combining two or more different materials to make qualities that can't be gotten from just one of the materials. This article looks at how each part, mainly the matrix and the reinforcement, affects how composites behave and work as a whole. The matrix binds the structure, transfers loads, and provides environmental resistance, while the reinforcement enhances strength, stiffness, and durability. The study emphasizes the significance …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 42–47 Read article