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56 articles for “Net Present Value”
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Net Present Value Based Profitability Analysis of Nuclear Assisted Electrolytic Hydrogen Production Projects
Abstract: Techno-commercial analysis of hydrogen production by water electrolysis using electricity from nuclear power reactors is carried out in this work, using a combination of levelized cost of hydrogen (LCOH) and net present value methods (NPV) which consider time value of money. Codes are developed in-house to estimate project profitability (i.e. profitable sale prices of the hydrogen produced) under baseline, optimistic and pessimistic techno-commercial scenario using simplified financial metrics such as …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 2, 2020 · pp. 27–36 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Feasibility Study of using Electric Down-hole Heating to Improve the Productivity for a Heavy Oil Field
Abstract: The largest hydrocarbon reserves around the world are mostly heavy oils. Electrical Down-hole Heating (EDH) is a widely used technique for heavy oil production; when it is combined with Enhanced Oil Recovery (EOR) methods, it can overcome its limitations. Considering limited previous studies for the designing of EDH for Sudanese fields, this paper presented the feasibility of using this system by simulating the actual well situation and provided several scenarios …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 52–68 Read article
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Three Techniques for DC Thevenin Resistance Using Pspice Simulation
Abstract: A time-domain method for certain types of excitations is proposed to determine Thevenin equivalent circuit for a circuit with resistors and dependent/independent sources. SPICE/Pspice model descriptions for resistors at constant temperature and dependent source are used. Instead of making the energy sources zero (as in frequency domain) the sources in time domain are described using model description cards available for time-domain current/voltage sources at the same time evaluating circuit for …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Investment Analysis and communication Issues for Road Assets
Abstract: The main purpose of this work is to develop good practices for management of infrastructures. The scope of this practice is mainly focused on pavement network, but it also includes other road assets like bridges, culverts and signs. A preventive maintenance, rehabilitation and reconstruction investment analysis is performed for these assets. The analysis and budgeting is performed for 20 years period to maintain and preserve the existing service level for …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 1, 2020 · pp. 1–16 Read article
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An Intersection in the Age of Online Social Networking with Dental Professionalism—A Survey
Abstract: Background: Computers have become an integral component of Dentistry finding its application in patient care and Dental education. Objectives: The present study was conducted to assess the value and measures for the utilization of Internet services among Dental professionals practicing at Vellore, India. Introduction: Humans are living in the era of online technology in their whole lives. They prefer new media technologies and online learning. Method: In this analytical, cross-sectional …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 1, 2019 · pp. 14–23 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Designing of Low Pass Finite Impulse Response Filter using Radial Basis Function Neural Network
Abstract: The present paper investigates an approach to design and analysis of a low pass finite impulse response (FIR) filter using artificial neural network. The main aim of design is to find out the filter coefficients that define the filter transfer functions. A datasheet of 40 different values of h (n), i.e., coefficient of digital low pass FIR filter are used for filter designing. In this paper Radial Basis Function method …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 21–24 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Direct Determination of the Frequency-Dependent Transmission Constants of Non-Uniform Two-Port Networks
Abstract: Due to space constraints and the expansion of electricity networks, transmission lines that cross close to one another are now commonplace. Power networks also commonly install higher operational voltage lines that share transmission corridors with lower voltage lines. Overhead transmission lines are the primary method for transmitting electrical energy across vast distances. This paper presents an efficient and direct technique for identifying the four frequency-dependent ABCD transmission constants of arbitrary …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Jaccard Index Versus Preferential Attachment: A Comparative Study of Similarity Based Link Prediction Techniques in Complex Networks
Abstract: Link prediction is a critical task in network analysis that aims to forecast potential connections between nodes. Numerous methods have been developed to address this challenge, with similarity-based techniques gaining substantial attention due to their simplicity and effectiveness. This research work presents a comprehensive review of two prominent similarity-based link prediction techniques, namely the Jaccard Index and Preferential Attachment. The Jaccard Index measures the similarity between two nodes based on …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 7–11 Read article
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Smart Precision Agriculture using Wireless Sensor Network and IoT
Abstract: This study presents wireless irrigation and plant disease detection system. This system aims toreduce the manual work for the farmer by incorporating wireless technology to ensure theefficiency. The entire system consists of Wireless Sensor Node Units and a WirelessInformation Unit. Each sensor node is equipped with a temperature and humidity sensor, asoil moisture sensor and a microcontroller to measure the sensor data values. In addition tothese sensors, we have used …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 8–13 Read article
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Securing The Internet of Things: Threats, Safeguards, and Future Directions
Abstract: The Internet of Things (IoT) brings immense value while also presenting cybersecurity challenges due to its scale, distribution, and heterogeneity. This study conducts an in-depth analysis of IoT security issues, threats, vulnerabilities, and mitigation strategies through an extensive review of scholarly literature and real-world case studies. A multilayered security approach is proposed, encompassing device hardening, network monitoring, encryption, access controls, governance frameworks, and emerging technologies. The analysis underscores systemic IoT …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 26–31 Read article
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Implementation of Adders Using Ternary Based Multiple Valued Logic
Abstract: In today’s world VLSI chips are widely used in various branches of Engineering like Voice and Data communication networks, Digital signal processing, Computers, Commercial Electronics, Automobiles, Medicine and many more. So, there have been major advances in IC technology which have both made feasible and generated great interest in electronic circuits which employ more than two discrete levels of signals such circuits called Multiple valued logic circuits, offer several potential …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Handwritten English Alphabet Recognition Using Convolutional Neural Network
Abstract: This research paper presents an approach for English alphabet recognition using machine learning. The proposed system utilizes a convolutional neural network (CNN) to identify individual characters within an input image. The dataset used in this research consists of a large collection of handwritten alphabet images, sourced from Kaggle's A-Z Handwritten Alphabets dataset in CSV (comma-separated values) format, which were preprocessed and augmented to improve the model's accuracy. We trained and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 17–25 Read article
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Communication at High Data Rate with VCSEL Over MMF and Investigations
Abstract: AbstractThis paper presents performance evaluation for the high data rate proposed communication network with VCSEL and multi-mode optical fiber. Numerous numerical evaluations have been carried out for key parameters over the span of multi-mode fiber. It showed wide eye opening over the selected length of fiber. It depicted good performance for line width of 10, lower normalizer average power, with temperature value of 40 degree centigrade. Overall performance over 2km …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 14–21 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article