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7057 articles
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Optimizing Die Life in Hot Forging: A Comprehensive Review of Improvement Methods
Abstract: Abstract: The wear investigation on die inserts utilized in the hot forging method to create a yoke type forging—an element that makes up passenger car steering systems—is presented in this paper. In order to provide a quick and accurate wear examination of the forging tools (of complex forms), the investigation used an innovative reverse scanning technique that eliminates the need to remove the tools from the producing unit. The study …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 62–67 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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A Brief Update on Nitrogen (N), Oxygen (O), and Sulfur (S) Based Heterocycles Containing Advanced Materials in Next‐Generation Energy Conversion and Storage Devices
Abstract: Subsequently, the market for wearable and portable electronics has expanded significantly due to the development of multifunctional energy generation and storage systems that can be folded, twisted, and reshaped in a variety of ways while maintaining their electrochemical efficiency. This progress has been fueled by the latest advancements in materials science and well-established techniques for constructing state-of-the-art organic semiconductors, heterocyclic solids, and flexible energy-generating and storage systems. Flexible photo- electrochemical …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 11, Issue 2, 2026 · pp. 1–19 Read article
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Statistical Modeling of Diffusion of Heavy Metals from Waste Oil in Soil Environment Using Regression Analysis
Abstract: Regression analysis is a statistical tool or method used to estimate the relationship between dependent variable and one or more independent variables. The diffusion and statistical model of heavy metals in soil are critical factors influencing pollutant migration and environmental remediation strategies. Understanding the diffusion and statistical method of analyzing the adsorption of heavy metals in soils is crucial for assessing environmental contamination and designing effective remediation strategies. This study …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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Comprehensive Manufacturing Processes, Chemical Syntheses, and Mass Balance Analyses for Ten Essential Fungicides in Agrochemical Production
Abstract: This research paper presents a detailed examination of the manufacturing processes for ten key fungicides used in agrochemical applications: Amisulbrom, Azoxystrobin, Benzovindiflupyr, Bixafen, Boscalid, Carboxin, Carpropamid, Cyazofamid, Cyclobutrifluram, and Cyflufenamid. For each fungicide, the synthesis pathways are outlined, including step-by-step chemical reactions, basic chemistry, reactant stoichiometries, and mass calculations based on a standardized production scale of 1000 kg of the final product. Mass balances are provided to account for inputs …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 11, Issue 2, 2026 · pp. 1–21 Read article
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Investigation of the Physical and Chemical Properties of Different Species of Onion
Abstract: An investigation on the physical and chemical properties of white, red, and brown onions was carried out to assess the potential applications of the different species sampled in this study. The physical properties monitored include refractive index, viscosity, and density. For red onion, the refractive index, viscosity, and density were measured as 1.35322, 1.631 cSt, and 1.1140 g/cm³, respectively. Brown onion exhibited values of 1.3571, 3.045 cSt, and 1.1130 g/cm³, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 11, Issue 2, 2026 · pp. 1–15 Read article
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Fog Computing Architecture and Deployment in IoT
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 Read article
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Blockchain as the Bard of Securities Settlement: A New Way to Think About Trust, Speed, and Openness
Abstract: One of the most promising uses of blockchain technology in financial markets is to modernize securities settlement procedures. Centralized intermediaries, like clearing houses and custodians often cause delays, operational inefficiencies, and counterparty risk in traditional settlement systems. Blockchain, or distributed ledger technology (DLT), can completely change this infrastructure by making real-time, peer-to-peer settlement possible, increasing transparency, and making recordkeeping unchangeable. This article looks at the legal, regulatory, and operational effects …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 13–20 Read article
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A Comprehensive Review of Metal Matrix Composites (MMCs)
Abstract: Abstract Metal Matrix Composites (MMCs) combine metallic matrices with reinforcing phases (ceramics, intermetallics, fibers, or particles) to achieve superior mechanical, thermal, and tribological properties compared with monolithic metals. This review surveys fabrication routes, reinforcement types, microstructural characteristics, mechanical and tribological behavior, machining challenges, applications across aerospace, automotive, electronics, and future directions including additive manufacturing, in-situ MMCs, and data-driven materials design. Critical challenges such as interface control, scalability, cost, and machinability …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Design of a Low-Power CMOS Operational Amplifier for Portable BiomedicalApplications.
Abstract: Portable biomedical devices such as ECG, EEG, and wearable health monitors require analogfront-end circuits that operate at extremely low power while maintaining sufficient gain,bandwidth, and noise performance. Among these circuits, the operational amplifier plays acritical role in signal amplification and conditioning. This paper presents the design andanalysis of a low-power CMOS operational amplifier optimized for portable biomedicalapplications. The proposed amplifier employs a two-stage architecture using power-efficientbiasing techniques to achieve low …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 · pp. 19–25 Read article
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Non-Equilibrium Entropy Pathways in Complex Fluids: A New Framework for Thermodynamic Irreversibility
Abstract: When a system is driven, sheared, stretched, heated, or pressurized under varying thermodynamic gradients and kept away from equilibrium, ultra-microscopic rearrangements begin to occur, indicating continuous energy dissipation. Along these energy pathways, the microstructures of complex fluids undergo multiple stages of reforming and rearrangement. In complex fluids composed of identical compounds (chemically identical species), these interactions play a supportive role and reduce the overall entropy of the system. However, when …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Audio & Video Translate System
Abstract: With the increasing expansion of digital media and globalization, there is a rising need for sophisticated audio and video translation systems to overcome language and cultural barriers. This paper explores the role of these systems in localizing multimedia content, ensuring accessibility, and complying with global standards, including those focused on individuals with disabilities. The research aims to investigate how various translation technologies, such as dubbing, subtitling, and audio descriptions, contribute …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Blind Assistance System Using Digital Image Processing
Abstract: This paper brings forth state-of-the-art blind assistance, and the system here provides a combination of an OpenCV-based DNN module based on YOLOv3’s algorithm; the system would support real-time object detection, with associated auditory notifications to enable visually impaired individuals to understand their autonomy couched with safety about improved fast recognition of objects allied with auditory responses. The live video captures from a webcam were done and further processed by the …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 13–19 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article
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Deep Learning with CNNs: A Survey of Techniques and Real-World Applications
Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its methodologies, regularizations, and computational efficiencies. We also address the challenges and future directions of CNN. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Review on the Synthesis, Reactions, Biological Importance and Application of Phthalic Anhydride
Abstract: Phthalic anhydride (also known as IUPAC name: benzofurandione), abbreviated PA, represents a cyclic organic substance derived through the oxidative transformation of xylene or naphthalene compounds. The coexistence of the benzene and furan-1, 3-dione ring structures significantly contributes to the formation of numerous heterocycles and certain polycyclic molecules. In organic chemistry, the aromatic system within para-amino benzoic acid acts as a reactive site towards double bond-containing molecules like those featuring an …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 12–20 Read article
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Exploring Antiviral Organic Compounds
Abstract: Antiviral drugs are a class of medication used for treating viral infections [1]. Most antivirals target specific viruses, while a broad-spectrum antiviral is effective against a wide range of viruses [2]. Antiviral drugs are a class of antimicrobials, a larger group which also includes antibiotic (also termed antibacterial), antifungal and antiparasitic drugs or antiviral drugs based on monoclonal antibodies [3, 4] Most antivirals are considered relatively harmless to the host, …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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e-Kidney Filtration System (EKS) Using Sensor: A Study
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article