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348 articles for “Algorithms”
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Analysis of Vapour-Liquid Equilibrium Behaviour of Cryogenic Hydrogen-Deuterium Mixtures Using Cubic Equation of State-based Method
Abstract: A comparative analysis of the vapour liquid equilibrium behaviour of the cryogenic hydrogen-deuterium system calculated under the assumption of an ideal solution using pure component vapour pressure data versus that of a real solution using Peng-Robinson cubic equation of state has been presented in this work. It is found that assumption of ideal solution leads to over prediction of the relative volatilities by 14% to 57% depending on the mixture …
Published in International Journal of Chemical Separation Technology · Vol. 4, Issue 2, 2018 · pp. 1–13 Read article
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Statistical and Artificial Neural Network for the Determination of Thermo-Physical Properties of Fomoditine Drug Using Mixed Hydrotropy
Abstract: The experimental determination of thermo-physical properties of fomoditine drug–mixed hydrotrope concentration mixture is very time consuming as well as tedious process. Any tool helpful in estimation of these properties without experimentation can be of immense utility. In present work, other tools of determination of properties of fomoditine drug–mixed hydrotrope concentration blends were tried. A traditional statistical technique of linear regression (principle of least squares) was used to estimate the specific …
Published in International Journal of Chemical Engineering and Processing · Vol. 1, Issue 2, 2015 · pp. 1–6 Read article
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Optimal power dispatch in nuclear cogeneration plants for electricity, water and hydrogen production: A parametric study
Abstract: Nuclear cogeneration projects where apart from electricity, valuable products like desalinated and purified water, hydrogen and oxygen gases from electrolysis of the water are produced are capable of providing water and energy security in developing and developed nations. They can also potentially become sources of additional revenue for the power plant operators. A simple approach using energy and economics data from published literature is used in this work to develop …
Published in International Journal of Chemical Engineering and Processing · Vol. 5, Issue 1, 2019 · pp. 24–36 Read article
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Novel Approaches to Thermodynamic Optimization in Industrial Processes
Abstract: Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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Selection of effective formwork system using multi criteria decision making analysis
Abstract: Formwork is the largest single cost item in constructing cast-in place reinforced concrete structure. This project focuses on analyzing the formwork selection problem based on decisive criteria. The factors affecting the choice of the exact formwork system have been often discussed in literatures but their importances have not been distinctly formulated. Therefore, a survey was conducted to recognize the decisive criteria in the formwork selection problems and ranking of the …
Published in International Journal of Construction Engineering and Planning · Vol. 5, Issue 2, 2019 · pp. 1–9 Read article
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Optimum Weight Design of a Singly Reinforced Rectangular Concrete Beam
Abstract: In this paper, the results of the optimum weight design of a simply supported singly reinforced concrete rectangular beam under uniform loading with respect to bending moment, steel ratio and design variable constraints are discussed. The design constraints were derived based on BS 8110, Part 1, 1997 design rules. The values of the design variables that optimized the self-weight of the beam subject to the constraints considered were obtained using …
Published in International Journal of Concrete Technology · Vol. 7, Issue 2, 2021 · pp. 16–22 Read article
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Analysis of Geological Structure for the Application of Geotechnical Engineering to Optimize Thermal Extraction in Geothermal Wells
Abstract: The characterization of the geological terrain for geothermal applications from the heat transfer point of view has been made. Horizontal, vertical and inclined geological layers have been analyzed. Uniform and homogeneous terrain are better candidates for low or high enthalpy geothermal applications while heterogeneous soil have a poorer performance from the thermal transfer point of view. The characterization process of soil structure and properties allows to take the appropriate decision …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 8, Issue 2, 2022 · pp. 26–35 Read article
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Machine Learning Approach for Analysis of Ionosphere Parameters for Earthquake Precursors
Abstract: This research explores the relationship between seismic events and predictive indicators, focusing on machine learning-based strategies for early earthquake prediction. It dissects existing prediction approaches, highlighting ionospheric anomalies' correlation with seismic occurrences, particularly preceding earthquakes of magnitudes higher than 5.5. By identifying a lack of comprehensive long-term analyses in the field, the study emphasizes future trends in machine learning-driven EQ-PD techniques using GPS-TEC data for real-time anomaly detection. The methodology …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 37–46 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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Segmentation Refers to the Process of Partitioning a Digital Image into Multiple Regions
Abstract: Abstract Image segmentation is a very important tool in image processing and might function as Associate in Nursing economical face to classy algorithms and thereby alter subsequent process. A typical drawback in segmentation of a monochrome image happens once a picture contains a background of variable grey level like step by step ever-changing shades, regions or categories assume some broad vary of grey scales. This drawback is inherent since intensity …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 25–33 Read article
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IoT Smart Waste Monitoring and Collection Framework
Abstract: Abstract - Solid waste management is one amongst the present challenges in urban areas and it's turning into a vital issue thanks to the fast increase in applicable solid waste management systems area population unit vital for up the setting and also the well-being of this paper, an Internet of Things(IoT) design for real-time residents. during waste watching and assortment has been proposed; able to improve and optimize solid waste …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 27–32 Read article
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Recommendation System: An Algebraic Perspective of Machine Learning with Knowledge Endorsement
Abstract: ABSTRACTLearning is continual process and machine learning is innovative approach towards information management as well as knowledge management. The endorsement of knowledge in association of big data is crucial task. The machine learning algorithm and technologies gives an insight towards better expansions and consolidation of knowledge. For optimization of knowledge recommendation system plays an important role and gives ground to produce solution. The role of recommendation system is basically one …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 30–34 Read article
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A Realtime Coronavirus Notifier
Abstract: Fresh corona virus deadly disease has not clinically confirmed vaccine or medicines. Its tolerant are improving through the help of antibiotic drug, anti-viral treatments, over and above vitamin C supplementation. It is currently apparent that the world necessities an expedient and speedier answer for contain and tackle the further spread of COVID-19 across the world with the guide of non-clinical advance for instance data mining schemes, improved aptitude furthermore extra …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 22–25 Read article
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A Review on Crypto coin price prediction
Abstract: Due to its advantages over the established banking system, cryptocurrencies have experienced a sharp increase in price inrecent years, which has had a positive impact on the economy. As cryptocurrencies are organized by blockchain technology, itinherits its properties such as Decentralization, Transparency, Immutability. In recent years, investors and stakeholdershave become increasingly interested in machine learning and AI-assisted trading. The effectiveness of machine learningtechniques in predicting the stock market leads one …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 37–42 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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Using Image and Pattern Recognition to Play the Game of Connect Four Using Computer
Abstract: Connect four is an advanced version of the commonly played game tic-tac-toe. Using an image recognition system, the computer can be assigned the current state of the play and using an algorithm the next move can be calculated. The extraction of image information and using it to find the solution of the diff condition is a fundamental in this field which is substantially extrapolated here. This paper is a result …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–5 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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A Real Image and the Edges Detected Using Ramp and Ridge Profile
Abstract: Edge detection may be an elementary downside of laptop vision and has been wide investigated. I tend to propose a brand-new framework for edge detection supported edge profiles. Acceptable analysis functions area unit required for various kinds of edge profiles, like ramp edges, ridge edges, etc. Associate in Nursing analysis operate should meet the need that it'll manufacture native minima at the positions wherever edges of a given sort occur …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 11–16 Read article
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Upgrade Immense Region Reportage from Numerous Satellite Image Sensors
Abstract: Rapid injury data assortment and dissemination throughout the disaster emergency response part could be an important remote sensing-based approach. For giant disasters like cyclone and earthquake, multiple satellite-sensor overpasses with variable inform angles square measure needed to completely cowl the massive impact space. This text presents associate in nursing improvement model for satellite image acquisition designing utilizing geographic house, time, and assortment state of affairs needs a web remote sensing …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 27–33 Read article
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Image Segmentation
Abstract: In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.[1][2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 55–56 Read article