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608 articles for “simulation process”
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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Design of Digital Controller for An Unstable CSTR Process
Abstract: Continuous Stirred Tank Reactor (CSTR) plays a vital role in almost all the chemical industrial processes. CSTR is a highly nonlinear process exhibiting stable and unstable steady state at different regions. Control of the temperature of the CSTR process in the entire operating range is a difficult task. This paper deals with the design of a digital pole placement controller for a jacketed chemical reactor system which is an open …
Published in Journal of Electronic Design Technology · Vol. 5, Issue 3, 2014 · pp. 1–6 Read article
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Real Time FPGA-based Embedded Architecture of Audio Compression and Decompression Core for Multimedia System
Abstract: A multimedia system links images and audio to distribute and transmit information to users. These images and audio data have to be compressed for raising capacity of storing and processing tasks in real time without losing the required information. This paper introduces an audio processing unit by using the FPGA hardware board. This is a complete Embedded system where the audio compression and decompression core is firstly described as a …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 1, 2015 · pp. 34–44 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
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Performance Analysis of 1-Bit Full Adder using GDI and CMOS Logic
Abstract: The adder is one of the most essential part in math processor, multiplier, and in various scientific applications. Full adder plays important role in multiplier architecture. In this paper a 1-bit full adder using GDI and CMOS logic has been implemented and comparative analysis has been done. The less delay and low power consumption is achieved for this implementation. This paper presents comparison of number of transistors have been used …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 2, 2015 · pp. 18–22 Read article
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Designing and Testing of various types of SRAM topologies with 90nm Technology
Abstract: VLSI technology provides a way for designing compact devices which are useful to human for leading their day to day, the advancement in the technology provides high speed and power consuming appliances. In this category, intend to design an application with high data rate and low power, memory efficient device and Static Random-Access Memory (SRAM) is structured. Improvement in the technology comprises of scaling down the design process and impact …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 1, 2022 · pp. 12–16 Read article
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CMOS Gm-C IF Filter using SCA for Dual Band Receiver
Abstract: This paper deals with design of folded cascode OTA-C filter, which works for frequencies for RF application, based on transistor sizing methodology and simulation results are performed using SPICE software and BSIM3V3 model for CMOS 0.18 μm process, show that the designed folded cascode OTA has a 52 dB DC gain and provides a unit gain bandwidth of around 400 MHz. Design of CMOS Gm-C 2nd order Biquad filter implementation …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 18–36 Read article
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Design and Implementation of 2nd Order Gm-C IF Tuning Filter Operating at 900 MHz and 88–108 MHz Wireless System for Multi Standard Receiver
Abstract: This paper deals with design and optimization of folded cascode OTA-C filter, which works for frequencies that lead to a base band circuit design for RF application, is based on transistor sizing methodology and Simulation results are performed using SPICE software and BSIM3V3 model for CMOS 0.18 μm process, show that the designed folded cascode OTA has a 52 dB DC gain and provides a Unit gain bandwidth of around …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 1, 2014 · pp. 8–24 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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The Theoretical and Experimental Study of the Behavior of the Mercury Drop, Fixed on the Glass Bottom of Vessel with Fluid, Under the Acceleration of Gravity Change
Abstract: At present time, accumulated theoretical material of the studies of the equilibrium forms of the gas bubbles or mercury drops, fixed on the surface of solid material in the fluid or on the glass bottom of vessel with fluid, under the acceleration of gravity change, was carried out either on the basis of geometric similarity laws that greatly simplify the essence of physical processes, or on the basis of theoretical …
Published in Recent Trends in Fluid Mechanics Read article
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The Theoretical and Experimental Study of the Behavior of the Mercury Drop, Fixed on the Glass Bottom of Vessel with Fluid, Under the Acceleration of Gravity Change
Abstract: At present time, accumulated theoretical material of the studies of the equilibrium forms of the gas bubbles or mercury drops, fixed on the surface of solid material in the fluid or on the glass bottom of vessel with fluid, under the acceleration of gravity change, was carried out either on the basis of geometric similarity laws that greatly simplify the essence of physical processes, or on the basis of theoretical …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 2, 2021 · pp. 1–12 Read article
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Design and Implementation of an Efficient Ternary Control Unit
Abstract: Multi-valued logic (MVL) is emerging as a thrust area of research due to several advantages offered by them over the conventional binary logic. Ternary logic is a promising alternative to the binary logic design technique thereby attracting a wide community of researchers to contribute in the design of ternary processor. The control unit is effectively the nerve center of a processor that plays a vital role in generating the appropriate …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 55–70 Read article
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Thermal Adsorption Processing of Hydrocarbon Residues
Abstract: The raw materials of secondary catalytic processes must be pre-refined. Among these refining processes are the deasphalting and demetallization including their thermo-adsorption (or thermo-contact adsorption) variety. In oil processing, four main processes of thermo-adsorption refining of hydrocarbon residues are used—Asphalt Residual Treating- residues deasphaltizing (ART), Discriminatory Destructive Distillation (3D), developed in the US; Adsorption-Contact Treatment (ACT) and Express Thermo-Contact Cracking (ETCC), developed in Russia. ART and ACT are processes with …
Published in Journal of Catalyst & Catalysis · Vol. 4, Issue 1, 2017 · pp. 6–10 Read article
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Microstructural Design and Functional Properties of Polycrystalline Materials
Abstract: Polycrystalline materials, composed of an aggregate of crystallites or grains, are foundational to modern engineering applications due to their versatile functional properties. The microstructural design—encompassing grain size, shape, orientation, phase distribution, and grain boundary characteristics—plays a pivotal role in determining mechanical, thermal, electrical, and magnetic behavior. This abstract explores the intricate relationship between microstructure and functionality, emphasizing how tailored processing techniques such as thermomechanical treatments, sintering, and additive manufacturing can …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 16–20 Read article
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An Innovational Approach for Assessment of Hypothetical Emergency Evacuation Distance in Pharmaceutical Industry
Abstract: Nobody predict an emergency or disaster situation especially one that affects them their employees and their business personally. The evacuation is a simple way to evacuate employee from workplace safely. It is very important that the evacuation is having a systematic approach, rules, regulation and design aspect concerns followed during the evacuation. There are number of principles factor and mathematical models which can simulate the evacuation systematically, so the evacuation …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 3, 2021 · pp. 31–36 Read article
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Synthesis of Poly(Methyl Methacrylate) Latex Using Batch Emulsion Polymerization Reactor: Experimental and Simulation Study
Abstract: AbstractThe rationale for the present study was to develop Poly(methyl methacrylate) polymer latex, using free radical emulsion polymerization mechanism, in which water acted as the continuous aqueous phase, methyl methacrylate monomer as the dispersed phase, potassium persulfate (KPS) as an initiator and sodium dodecyl sulfate (SDS) as the stabilizing agent. PMMA is a versatile thermoplastic resin, used widely because of its excellent performance in optical and medical field. The characterization …
Published in Journal of Polymer & Composites · Vol. 4, Issue 1, 2016 · pp. 37–44 Read article
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Design & Implementation of 16-BIT MAC Unit Using Vedic Mathematics
Abstract: Multiply and Accumulate (MAC) units are essential parts of digital systems, particularly in embedded systems, digital signal processing (DSP), and image processing. The performance of these systems is significantly impacted by how well the multiplication process works. The design and construction of a fast 16-bit MAC unit utilizing Vedic mathematics are presented in this study.The proposed design utilizes the Urdhva Tiryagbhyam sutra to perform multiplication in a parallel manner, reducing …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 52–58 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Analysis of Friction Stir Welding Utilizing ANSYS: A Study Based on Simulation
Abstract: Friction Stir Welding (FSW) represents a sophisticated solid-state welding methodology that has attracted considerable scholarly attention due to its efficacy in amalgamating high-strength, lightweight substrates including aluminium, magnesium, and titanium alloys. FSW enables the fabrication of defect free products with a substantial amount of mechanical and wear properties. The process is highly sensitive to various parameters that significantly influence the quality and strength of the final product. Studies have shown …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 62–77 Read article