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1899 articles for “E&P process” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Study and analysis of the Double Data Rate SDRAM Controller for High-speed Interfacing with Processing Device
Abstract: A real-time embedded system must now manage many programs running concurrently. Increased Data Rate Because of its burst access, speed, and pipeline features, synchronous DRAM is a typical memory-building material. DDR transfers are performed using synchronous dynamic access memory. The memory controller must be set with a pipelined design for various applications and systems to perform effectively. The purpose of this study is to design a DRAM controller that will …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 8–13 Read article
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Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article
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APPLICATIONS OF VIRTUAL INSTRUMENTATION IN DIFFERENT DOMAINS OF EMBEDDED SYSTEMS
Abstract: This research work has intended to identify the clusters of embedded systems where the application ofvirtual instrumentation concept can be used; one can apply the concept of virtual instrumentation fordeveloping different applications of signal and image processing, automotive, mechatronics, control andsimulation, embedded software designing, HDL & microprocessor coding etc. The graphical tool used invirtual instrumentation such as LabVIEW can be used for designing various applications of differentembedded system domains. With …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 19–24 Read article
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Microbial Safety of Dairy Products
Abstract: Microbial safety is paramount in the dairy industry to ensure the production of high-quality and safe dairy products for consumers. This review article explores the microbial pathogens associated with dairy products, including bacterial and fungal species such as Listeria monocytogenes, Salmonella spp., Escherichia coli, Staphylococcus aureus, mycotoxigenic molds, and yeast species. We delve into the primary routes of contamination, emphasizing sources such as raw milk, processing equipment, and cross-contamination during …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 12, Issue 3, 2023 · pp. 7–11 Read article
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Design, Fabrication and Performance Analysis of Solar Dryer Integrated with Thermal Energy Storage
Abstract: Drying is an essential process in the preservation of agricultural products for preserving it for long time or even for years. Drying is the process of removing the moisture content from the products. The quality of drying is determined by what amount of moisture is removed and the hygiene of the product. The process of drying is practiced from very ancient days itself for preserving the food for the off …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 3, 2018 · pp. 9–14 Read article
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Single Sensor Camera Image Denoising Using PCA and Demosaicking with LMMSE
Abstract: Single sensor cameras are used mostly for image acquisition in digital cameras with a colour filter array (CFA). These cameras save image in an unrefined format, since the complete process of image acquisition get lengthy and complex, so it introduces noise in the image and hence requires some efficient technique for denoising. Different techniques have been used to denoise the captured image but efficiency of the algorithms has not been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
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Optimized Text Extraction and E-Repository Development of Hindi and Punjabi Documents Using OCR and NLP Techniques
Abstract: Increase in digitalization of content in the form of text content necessitates powerful document and text extraction systems, particularly for Indian languages such as Hindi and Punjabi. The existing Optical Character Recognition (OCR) solutions support major scripts such as English, leaving a research opportunity for effective recognition of Devanagari and Gurmukhi scripts. This study recommends a modified text extraction algorithm based on Tesseract OCR, accompanied by preprocessing steps of conversion …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 35–43 Read article
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A Review: Digital Image Processing
Abstract: Image Processing consists of converting the nature of a photograph with a view to improve its pictorial records for human interpretation, for independent system notion. virtual picture processing is a subset of the electronic area in which the image is transformed to an array of small integers, referred to as pixels, representing a bodily amount inclusive of scene radiance, saved in a virtual reminiscence, and processed by using pc or …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 12–16 Read article
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Dissimilar Joining Of Aluminium Alloy to Copper Using Tungsten Inert Gas Welding Process
Abstract: Aluminium-copper dissimilar joints are applicable to electrical industry. 2 mm thick aluminium alloys (A1100) sheet is joined to 1 mm thick copper (Cu-DHP) sheet using tungsten inert gas welding (TIG) process. The effect of process parameters like heat input, torch orientation, arc weaving on mechanical properties of the joint are studied. In this combination the molten pool generated by melting of aluminium edge will wet the coppersurface to form a …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 2, 2018 · pp. 15–20 Read article
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Simulation of Biomass Gasification in Downdraft Gasifier Using Aspen Plus
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Generating electrical energy through biomass has advantages besides achieving self-sustainability. Biomass is particularly useful for agriculture dependent economy nations like India. Energy conversion systems based on biomass are particularly interesting because biomass utilization effectively closes the carbon cycle. A comprehensive process model is developed for biomass gasification in an atmospheric fixed bed rector using the ASPEN PLUS simulator. An original equilibrium gasification …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 4, Issue 2, 2013 · pp. 37–47 Read article
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Detect the Edges of Hygienic Images and De-Noised Images Using Meta Heuristic and F-Ratio
Abstract: AbstractEdge detection is one of the important parts of image processing. It is essentially involved in the pre-processing stage of image analysis and computer vision. It generally detects the contour of an image and thus provides important details about an image. So, it reduces the content to process for the high-level processing tasks like object recognition and image segmentation. The most important step in the edge detection, on which the …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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A Fuzzy Integrated Web Based Quality Function Deployment Application: A Conceptual Analysis
Abstract: The 'voice of customers' drives the Quality Function Deployment (QFD) process, which is a customer-focused product development method. Making decisions is a critical component of the QFD Process. Although QFD aids decision-making, its subjectivity results in ambiguity and uncertainty, resulting in less accurate and consistent findings. Fuzzy ideas must be incorporated to deal with the ambiguity and uncertainty inherent in the QFD Process. This will result in better decision-making. Businesses …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 1, 2022 · pp. 44–48 Read article
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Squeeze Casting of Hybrid Aluminum Matrix Composites: A Critical Review of Process Optimization, Reinforcement Strategies, and Performance Outcomes
Abstract: Increasing demand for lightweight, performance-oriented components in automotive, aerospace, and defense industries has driven advancements in squeeze casting, a hybrid technique merging forging and die-casting advantages to produce near-net-shape aluminum matrix composites (AMCs) with superior mechanical-tribological properties. This review critically examines the interplay of process parameters (e.g., squeeze pressure: 70–150 MPa, melt temperature: 650–800°C), reinforcement characteristics (volume fraction ≤10%, particle size: 10–71µm), and interfacial engineering strategies (flux-assisted bonding, ultrasonic dispersion) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 52–60 Read article
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AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance
Abstract: Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications. Traditional DevSecOps workflows still depend heavily on isolated scanners, manual reviews, and static governance processes that are not well-suited for the elasticity and constant change characteristic of multi-cloud environments. To address these limitations, this paper introduces …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 01–15 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Utilizing Machine Learning to Evaluate the Connection between Poisson's Ratio and the Petrophysical Properties of Reservoir Rocks
Abstract: The Poisson's ratio is a crucial cornerstone, illuminating our understanding of geomechanical behaviour in wells during the dynamic drilling process and the inspiring recovery journey. This research rigorously employs machine learning methods to analyse the significant impact of geophysical parameters on the Poisson ratio in hydrocarbon reservoirs found in oil fields. The analysis utilized data from multiple oil and gas fields, highlighting the crucial relationships between the Poisson ratio, the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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A Review on Pressure Die Casting Technology and Recent Developments in Die Design
Abstract: A high production rate and cost effective method primarily used in the production of non-ferrous castings is the Pressure Die Casting (PDC) technology. It is widely used in the manufacturing of automobile components of complex geometry and intricate forms and shapes that may be difficult to produce by the other conventional casting processes. This paper gives an insight into the types of pressure die casting techniques. It also describes the …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 85–99 Read article
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Investigation and Concerns on the Mechanics Behind Grain Refinement During ECAP Operation with Applications to Polymers
Abstract: Materials science and engineering have studied Equal Channel Angular Pressing (ECAP) grain refining. This abstract discusses important findings and concerns about grain refining mechanics during ECAP.A adaptable severe plastic deformation method; ECAP refines grain patterns in many metallic materials. Many researches have attempted to understand this phenomenon's complex mechanisms. Microhardness and microstructure (morphology) of AL alloy increase with the increase in pass numbers. It is observed that the mechanical property …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–11 Read article