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145 articles for “quality control parameter”
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Prediction of Compressive Strength of Concrete Using Machine Learning Techniques
Abstract: Compressive strength of concrete is an important parameter for designing any concrete structure. Compressive strength of concrete is a complex nonlinear function of its ingredients. Prediction of Concrete compressive strength plays a vital role in pre design phases of the structure and quality control of construction. The conventional methods of compressive strength determination are time consuming, so the use of data mining methods to predict the strength beforehand is helpful. …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 34–41 Read article
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A Review: Application of Ant Algorithm in Transport Network Design Problems
Abstract: A dependable and reliable information source for transportation route planning and ready response to traveler demand, have become a hot topic of research these days. Transportation route planning, analysis and processing of traveler demand are among most important factors affecting response to traveler demand. Because of highly dynamic networks and frequent discontinuity, it is desirable to establish routes for fast delivery of people and goods, having a low probability of …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 17–22 Read article
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Examining Experimentally the Impact of Spot-Welding Process Variables on Metal Matrix Composites
Abstract: Metal matrix composites work in concert with reinforcement to improve the material's qualities. Reliability in joining metal matrix composites using traditional methods is challenging. Friction Stir Welding has demonstrated the ability to solve numerous issues that arise in traditional welding procedures. Initially, the Friction Stir Welding (FSW) welding procedure produced metal seams that were solid. Additionally, FSW was expanded to join MMCs and their alloys. The purpose of this review …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 193–201 Read article
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Quality of Flower and Bulb in Tuberose under Saline Condition
Abstract: A pot experiment was conducted in the horticultural research farm and laboratories of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh during the period from 12 April 2014 to 23 March 2015. In this experiment, salinity treatments with the irrigation water of EC values of 0, 2, 4, 6, 8 and 10 dS/m were imposed to two cultivars of tuberose viz. C1= single and C2= double. The experiment was carried …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 7, Issue 3, 2018 · pp. 1–9 Read article
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IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing
Abstract: Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 32–37 Read article
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UV Method of Development and Validation of Olaparib
Abstract: An analytical method must be developed and validated in the discovery, development, and production of pharmaceuticals to ensure the identification, purity, potency, and performance of drug commodities. Quality control laboratories use official test protocols that emerge from the processes. A simple ultraviolet spectrophotometric approach was designed and validated using various characteristics, including linearity. Precision, reproducibility, accuracy, robustness, ruggedness, limit of detection, and limit of quantification are among the measuring criteria. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 20–27 Read article
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Predicting Software and Hardware Reliability of Embedded Systems
Abstract: In daily existence, unwavering quality of programming frameworks is pretty much as significant as the use of programming frameworks since, in such a case that the product won't be dependable, it will get come up short whenever, abandoning catastrophes. Aside from this, assuming the product framework is an Embedded System, the unwavering quality of that inserted programming framework will be significant just as essential in light of the fact that …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 1–4 Read article
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Neural Network Based Fractional Order PID Controller for Harmonic Mitigation of Induction Motor Drive System
Abstract: Torque produced in IM (induction Motor) is collected fundamental torque, however, due to core saturation, air gap irregularity, and winding distribution; stator and rotor slotting harmonics torque are produced. This reduces the quality of the power system, life span, and performance of the motor and the controller device. In this paper, a neural network, based fractional order proportional integral derivative (NNFOPID) controller is designed to compensate the harmonics of the …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 23–41 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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An AI-Driven IoT Framework for Autonomous Quality Assurance in Optical Lens Manufacturing
Abstract: The evolution of high-precision optics—ranging from smartphone micro-lenses to high-end astronomical glass—demands unprecedented accuracy in manufacturing. Traditional inspection methods, reliant on manual sampling or static automated optical inspection (AOI), often fail to bridge the gap between high-speed production and the detection of microscopic surface aberrations. This paper introduces an integrated architecture combining the Internet of Things (IoT) and Deep Learning-based decision-making systems to revolutionize lens quality control. By deploying an …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 36–41 Read article
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A Sliding Mode Control with a PID Sliding Surface for Power Output Maximizing of a Wind Turbine
Abstract: The wind energy has many advantages, it does not pollute and it is an inexhaustible source. However, thecost of this energy is still too high to compete with traditional fossil fuels, especially on the less windy sites.The performance of a wind turbine depends mainly on three parameters: the power of the wind, the powercurve of the turbine and the generator’s ability to respond to the wind fluctuations. This article proposes …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 12–18 Read article
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Effect of Tool Tilt on Formation of Tunnel in Friction Stir Welded 5083 Joints: An Experimental Study
Abstract: Friction stir welding (FSW) being a solid-state joining process is immune to the various defects faced in traditional fusion welding process. However, defects such as voids, joint line remnants and tunnel defects are common imperfections in FSW. In the present study, an attempt has been made to investigate the effect of tool tilt on the formation of tunnel defect, while keeping all other process parameters constant. Tool tilt is a …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 2, 2014 · pp. 10–15 Read article
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The Change in Physico-chemical, Biochemical and Microbiological Parameters of White, Green, Black and Oolong Tea during Storage in Different Packaging with Different Desiccants
Abstract: Tea is commercially important cash crop. The shelf life of tea is a major concern of tea industries. Different types of tea like White, Oolong, Green and Black tea have some individually distinct quality parameters like physico-chemical, biochemical and microbial content, which are changed (deteriorated) during storage-and the trend of changes are also distinct for each type. Use of different packaging materials along with different desiccant like silica, calcium chloride …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 10, Issue 3, 2020 · pp. 38–48 Read article
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Reduction of Submerged Mark Defects in Injection Molding Method
Abstract: Because of overwhelming interest in plastic items, plastic businesses are developing in a speediest rate. Plastic infusion forming starts with shape making and in assembling of complex shapes. Ideal setting up of infusion forming process factors assumes an imperative part in controlling the nature of the infusion shaped items. It is all the most critical to control property abandons like sink marks. Sink marks are fundamentally a "planned in" issue …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 2, 2018 · pp. 15–21 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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AI Based Quality Analysis of Industrial Products
Abstract: The project introduces a new method for sampling data from a group, addressing limitations in traditional approaches. It highlights inefficiencies in inspecting only a few items from a batch, potentially leading to the rejection of entire lots due to isolated errors. To counter these challenges, a system is being designed to automatically inspect every gear in a batch. This system incorporates a conveyor belt for gear movement and a camera …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 39–45 Read article
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A Review: Distortion Control in 20MnMoNi55 Material Using GTAW and SAW Process
Abstract: Gas tungsten arc welding (GTAW) is high quality and high precision welding process which is suitable for welding thin metals. Inert gases such as helium and argon, carbon dioxide, nitrogen etc. are used as shielding gases to prevent the weld bead from air, dust and other contaminations in welding. There are so many welding process parameters affecting the weld quality in GTAW. Important process parameters which mainly affect the weld …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 34–38 Read article
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Smart Weather Monitoring System Using ESP32 and IoT
Abstract: The increasing unpredictability of climate conditions necessitates an efficient and real-time weather monitoring system. The following paper describes an IoT weather monitoring system using the ESP32 microcontroller, connected to various environmental sensors to gather and process atmospheric information. The system uses a DHT11 sensor to measure temperature and humidity, an MQ135 gas sensor for measuring air quality, and a PM2.5 sensor to measure the level of particulate matter. The ESP32 …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 25–36 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Minimizing the Sand Casting Defects Using Taguchi Method
Abstract: The global market is becoming more and more quality conscious now a days. This Research work includes minimization of sand casting defects in C.I. based foundry. The survey was carried in small scale CI based foundry (Surat). Major defects were observed are misrun, coldshut, blowholes, and porosity. Taguchi method is used to optimize the control parameters like moisture, permeability, pouring time, pouring temperature. L18 orthogonal array is used in this …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 14–17 Read article