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920 articles for “Performance based design”
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Performance Analysis & Speed Control of 3 Phase Induction Motor on 8 Bit Controller Platforms Using LabVIEW®
Abstract: ABSTRACTPerformance analysis & speed control of 3 phase induction motor on 8 bit platform using LabVIEW® aims to speed control of 3-phase induction motor, microcontroller used for this work is AVR ATmega16. LabVIEW® provides the remote GUI interface to the system. LabVIEW® interfaces to the control system with the RS-232 communication link Using NI-VISA. Actually induction motor controlling through microcontroller and PC based GUI leads to the almost complete design …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 88–99 Read article
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Design of Photonic Sensor for Driver Assistance
Abstract: AbstractA report from National Highway Traffic Safety Association, USA, states that 100000 police reported crashes are a result of driver fatigue. This figure would be quite mind boggling for developing nations, where work periods are usually extended without conducting detailed scrutiny. Sophisticated vehicles are equipped with sensors for assisting drivers and providing them with time-critical accident alerts. However, there is a need to develop cheap and reliable sensors for 24x7 …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 2, 2018 · pp. 14–23 Read article
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Lightweight Composite Materials for Electric Vehicles (EVs) and Public and Private Transport
Abstract: The rapid expansion of the electric vehicle (EV) industry has intensified the demand for battery enclosures that are lightweight, durable, thermally stable, and environmentally sustainable. This study investigates the design and sustainable fabrication of hybrid nanocomposites for advanced EV battery housings. The proposed composite system combines carbon fiber, glass fiber, and graphene nanoplatelets within a bio-based epoxy matrix, resulting in superior mechanical strength, enhanced thermal stability, and excellent flame retardancy.A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 470–481 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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ESP32 CAM-based Surveillance Car with Tilt, Pan, and Zoom Capabilities: A Review
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, featuring an ESP32-S processor and OV2640 camera, capable of capturing and streaming video at 640x480 resolution. The camera offers …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 31–37 Read article
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Design of Differential Evolution Optimized PI Controller for a Temperature Process
Abstract: Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 17–26 Read article
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The Role of Majority Functions in Enhancing Full Subtractor Performance in High-Density Logic Circuits
Abstract: In the present trend of very large-scale integration (VLSI) technology, implementing a Boolean function with the fewest number of gates (logic) has always been important. Low power design strategies now provide much more benefits than in the past. Performance, affordability, and dependability may be key issues in this area of technology design. Power dissipation is now recognized as a crucial component in the development of competitive market areas such wireless …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Introducing New Operating Systems for Computer
Abstract: This study introduces new operating systems (OS) designed to meet the evolving demands of modern computing environments. As technology progresses, the limitations of traditional operating systems in terms of efficiency, security, and scalability have become evident. The proposed new OS models aim to address these challenges by incorporating advanced features such as optimized resource management, enhanced security protocols, and improved user interfaces. Additionally, these systems leverage emerging technologies like artificial …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 37–47 Read article
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Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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Pinch Analysis of Acetone Production Process Using Aspen Energy Analyzer
Abstract: This article is divided into two parts. In the first part a process flow diagram for the production of Acetone was designed with Aspen HYSYS. Acetone obtained is 94.6% pure and the designed plant is safe to environment with less emissions. In the second part HEN (Heat exchanger networks) was developed for the process plant by performing pinch analysis using Aspen Energy Analyzer. Retrofit analysis was applied to find an …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 3, 2014 · pp. 25–33 Read article
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Comparison of Bit Error Rate and Interleaver in Coding Scheme
Abstract: The powerful channel coding schemes, namely, those based on turbo codes with different type of interleaver design and iterative scheme of decoding. The Shannon’s predictions to optimal codes would imply random like codes and intuitively implying that the decoding operation on these codes would be prohibitively complex in nature. A brief comparison of Turbo codes with different type interleaver will be given in this section, both in term of actual …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 1–5 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
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Voice Controlled Robotic Vehicle for Automated Agricultural Spraying
Abstract: Robotics has a huge scope in various fields. Its purpose is very important for executing complex work into more conveniently way. There are a lot of research going on for effective connection between humans and robots. The paper presents the research of the designing & development of voice controlledrobotic vehicle for automated agricultural spraying. The robotic control system of the movement will be done by the voice commands and the …
Published in Trends in Machine design · Vol. 10, Issue 1, 2023 · pp. 53–58 Read article
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Verilog Implementation of a Turbo Encoder and Decoder with MAP-Based Decoding
Abstract: The most significant achievement in coding theory is the turbo codes which are forward error correction codes developed in 1993. By using two simple recursive systematic convolutional codes in parallel we can achieve near-capacity performance in transmission system which was defined by Shannon-Fano. By using iterative decoding structure near-capacity performance is possible with a relatively easy decoding complexity, using a soft in soft out (SISO) maximum a posteriori (MAP) decoding …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 3, 2015 · pp. 19–24 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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Comparative Analysis of Perturb & Observe and Incremental & Conductance MPPT Algorithms
Abstract: AbstractMaximum power point tracking (MPPT) technique implemented on a Photo-Voltaic (PV) system is meant for increasing its efficiency. In literature may research work claims MPPT technique as one of the most efficient way in enhancing output power generated. The output electrical parameters (V-I curve) of PV (photovoltaic) system depends on the irradiance, temperature, configuration, environmental conditions and analogy of a PV system. MPPT regulates the system at the reference voltage …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 2, 2018 · pp. 7–13 Read article