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1793 articles for “work in process”
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EFFECT OF DRILING PARAMETERS ON HOLE POSITION TOLERANCES
Abstract: Drilling is one of the important machining process widely used in all type of industry. In aerospace industry the drill hole dimensions are very critical and one has to control the drilling parameters to maintain the desired hole characteristics. In the present project work, focus is made to study the effect of drilling parameters namely spindle speed, feed and drill diameter on Cylindricity, Circularity, Concentricity along X axis and Concentricity …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 51–61 Read article
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Property Estimation of Polymers: A Review
Abstract: AbstractPolymer production processes are facing the problems of optimization of production rate, increasing yield, waste minimization and environmental issues and product quality problems. These issues can be solved by designing efficient polymer manufacturing processes. Accurate properties of polymers are very important in designing efficient processes. Hundreds of property estimation methods are available for property estimation of polymers but the selection of the suitable property model is a challenging task. One …
Published in Journal of Polymer & Composites · Vol. 6, Issue 3, 2018 · pp. 14–24 Read article
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Cu-H2O Nano-Fluid Effect on Buoyancy Driven Flow in 2D Enclosure
Abstract: System miniaturization resulting in exponential increase of the heat in electronic devices, to serve this purpose we need some adequate quality heat cooling devices and materials, due to the limitation of conventional cooling process. Suspension of nano-particles in the base fluid called nano-fluid, shows prominent increase in the heat transfer and can be one of appropriate option which can be answer to this problem. Present work deals with numerical simulation …
Published in Journal of Thermal Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 1–7 Read article
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Surface Modification by Electro-discharge Coating and Its Characterisation
Abstract: Applications of coated surface are swiftly increasing in present industrial context. Recently, the electro-discharge route is being explored for surface modification in terms of alloying and layer deposition. Electro-discharge machining parameters and response to surface deposition is of the research interest in electro-discharge coating. In this regard, electro-discharged surface modifications have been characterized in the present investigations. The effect of relevant EDM parameters (current, Pulse duration, duty factor, density of …
Published in Trends in Mechanical Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 43–50 Read article
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The Silent Mineral: Structural Complexity and Industrial Utility of Natural Kaolin
Abstract: Kaolin, a naturally occurring aluminosilicate clay predominantly comprising the mineral kaolinite (Al₂Si₂O₅(OH)₄), exhibits a 1:1 layered silicate structure that imparts distinctive physicochemical properties suitable for extensive industrial utilization. Deposits of kaolin are broadly classified into primary (residual) and secondary (sedimentary) categories, each defined by their geological origin and mineralogical features. The industrial processing of kaolin encompasses stages such as raw material extraction, beneficiation, and purification, aiming to optimize parameters including …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 52–61 Read article
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Evolving IoT: Based Smart Healthcare Monitoring System
Abstract: The continuous progress in technology has led to remarkable enhancements in various aspects of human life, including healthcare. Within the healthcare sector, practitioners and experts are embracing new technologies to significantly improve the implementation of medical services. The Internet of Things (IoT) has emerged as a crucial foundation for various innovative healthcare technologies, such as heartbeat sensors, ECGs, and blood pressure sensors, each equipped with microcontrollers to read and interpret …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 17–27 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Failure Analysis of Hybrid Natural/Synthetic Fiber Composite Laminates in The Application of Hybrid Composite Pressure Vessel
Abstract: Composite laminates are frequently utilized in multiple sectors. The growing complexity of composites in aircraft applications necessitates hybridization of these materials. These hybrid laminates consist the combination of one natural fiber and two selected synthetic fibers. This work investigates three different six-layer hybrid composite laminate combinations: Jute2/Carbon2/Jute2, Jute2/Glass2/Jute2, and Carbon2/Glass2/Carbon2, with helix angles of 0° and 90° and a volume fraction of 50% fiber content. Each specimen is fabricated utilizing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 85–98 Read article
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Integrated Surface Water–Groundwater Dynamics: Implications for Pollution Pathways, Prevention, and Environmental Control
Abstract: Water resources worldwide are increasingly threatened by pollution pressures amplified by climate change and intensified human activities. The vulnerability of surface water and groundwater systems to contamination is strongly governed by their dynamic hydrologic connectivity, which is often overlooked in pollution prevention and control frameworks. Rising global temperatures, altered precipitation regimes, land-use change, and intensified abstraction patterns modify recharge processes, flow paths, and contaminant transport mechanisms across environmental landscapes. This …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 34–40 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
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Evaluation of the Impact of Organizational and Human Factors on Employee’s Behavior in a Petroleum Refinery
Abstract: According to the WHO, 2.9 billion workers worldwide are exposed to different hazards at workplace. Researchers have focused a lot of emphasizes on work-related illnesses, fatalities, and injuries, which has raised awareness of event causation in the workplace. It is speculated that workers' at-risk behaviors, which can be decreased through behavior modification, are what lead to the bulk of workrelated accidents. A study was conducted to analyze the organizational and …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 2, 2022 · pp. 11–16 Read article
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LTE & 5G NR Carrier Aggregation Network Optimization through Advanced Measurement Configuration
Abstract: The ability to merge numerous frequency carriers—component carriers—to increase transmission bandwidth and throughput speeds over what can be achieved with a single carrier is known as carrier aggregation, and it is a crucial technology in 4G LTE and 5G networks. Cellular devices may attain gigabit data speeds by combining carriers from several frequency bands, such as 600 MHz to mm Wave frequencies, to increase downlink and uplink capacity. This study …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 35–45 Read article
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Implementation of Carry Select Adder with Reduced Area Scheme
Abstract: Addition is the heart of arithmetic unit and the arithmetic unit is often the work horse of a computational circuit. So, adders play a key role in designing an arithmetic unit and also many digital integrated circuits. Carry select adder (CSLA) is one of the fastest adders used in many data processors and in digital circuits to perform arithmetic operations. But CSLA is area-consuming because it consists of dual ripple …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 1, 2017 · pp. 1–5 Read article
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Prepaid Energy Meter using GSM Technology
Abstract: AbstractMany developing countries are nowadays focusing on the smart meters to measure electricity. In our paper, we describe the formation and working of prepaid energy meter using gsm technology. Present energy system is not giving appropriate result. Various types of errors are included in the output. These errors occur due to electro-mechanical meters, human errors and processing errors. The main objective of our project is to reduce the error and …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 3, 2017 · pp. 17–19 Read article
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A Review on Damage Inspection Techniques in Composite Structures
Abstract: Damage occurred in structures or components can induce changes in its local and globalproperties. These changes in properties can affect the performance of component, andsometimes, it leads to a catastrophic failure. Hence, components/structures especiallycomposites need to be inspected regularly for damage. With extensive research in sensors anddata processing techniques various damage inspection techniques for composites are evolved.Damage inspection is part of Structural Health Monitoring (SHM) process. The paper providesa review …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 3, 2020 · pp. 1–8 Read article
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Optimizing Hive Performance on Analyzing Log Data with Hadoop
Abstract: Web servers automatically created or maintained the log files to observe the user behaviour. So, we can get the valuable information through analyzing these server log files. Log files collect a variety of data about information requests to your web server. Server logs act as a visitor sign-in sheet. Server log files can give information about what pages get the most and the least traffic? What sites refer visitors to …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 45–52 Read article
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Emotion Evaluation from Text: A Survey
Abstract: Information extraction is the process of retrieving structured information from unstructured or semi-structured text. It has a wide range of applications in domains such as biomedical literature mining, business intelligence, sentiment analysis, and emotion analysis. This survey describes recent works in the field of emotion detection for text data, being a part of the broader area of affective computing. It has been inspired by the well-known fact that, despite there …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 8–20 Read article
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Survey on Parts of Speech Tagging for Gujarati
Abstract: The study describes the survey on Part of Speech tagging using different approaches for various Indian languages. Indian languages have rich morphological effect, so it may create many problems while tagging the sentences. Researchers have done work on POS tagging for various languages like Hindi, Marathi, Panjabi, English etc. With over 60 million users worldwide, Gujarati is an Indian language that currently has numerous initiatives in place for the development …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 7–17 Read article