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440 articles for “methodology”
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Generative Lightweighting of Actuator-Integrated Robotic Structures Under Decentralized Additive Manufacturing Constraints
Abstract: This study presents the implementation and structural validation of a constraint-driven generative design methodology for the development of lightweight actuator-integrated robotic components fabricated using decentralized additive manufacturing. Building upon a previously formalized constraint-driven framework, the method was applied to the synthesis of a modular robotic link representative of actuator-integrated structural elements commonly used in legged robotic systems. The baseline component was defined to preserve critical functional interfaces, including actuator mounting …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 44–60 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Liberty Food Processing & Refrigeration Facility at Robeson County, NC – A Development for the Lumbee Tribe
Abstract: This report examines the viability, financial forecasting, and execution plan for the Liberty Food Processing and Refrigeration Facility Project at Robeson County, NC for the Lumbee Tribe, and other local groups. The aim is to assist local farmers by enhancing the appeal of their produce through effective packaging. Additionally, the project seeks to promote Lumbee Tribe cuisine by marketing freshly prepared meals and sharing traditional recipes, thereby highlighting the local …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 1–24 Read article
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Analytical Modeling and Simulation of Helical Gear Systems for Improved Load Distribution
Abstract: An analytical modeling and simulation methodology to improving load distribution in helical gear systems is presented in this research study. Fundamental parts of many mechanical systems, helical gears provide the benefits of smooth engagement, lower noise levels, and increased weight bearing capability. However, retaining lifespan and dependability in gear systems requires establishing regular load distribution throughout the gear teeth. This work explores the parameters influencing load distribution and suggests strategies …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Next generation bioluminescence imaging technology for tracking numerous biological processes under in vivo conditions
Abstract: To expand our understanding on numerous biological processes happening inside living entities, the mechanism of bioluminescence exists. The process of visible light emission in living things is referred to as bioluminescence. Small laboratory animals can now be molecularly imaged using bioluminescence imaging. It is a potent technology that has been developed over the past ten years in diverse fields of science. In the area of virology, immunology, oncology, and neuroscience, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 8, Issue 2, 2022 · pp. 21–35 Read article
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Studies on Interaction of SDS with HPMC Using Central Composite Design
Abstract: The conductivity measurements were used to study the interaction between non-ionic biopolymers, hydroxypropyl methyl cellulose (HPMC) and the anionic surfactant- sodium dodecyl sulphate (SDS) in aqueous solutions of different concentrations and at temperatures along with the use of Response Surface Methodology (RSM). Calculations were made of the free energies of aggregation ΔGagg, micellization (Gmic), and transfer (Gt), all of which are connected to the bonding interaction between the surfactant and …
Published in International Journal of Green Chemistry · Vol. 8, Issue 2, 2022 · pp. 20–33 Read article
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Elemental Profiling of Inkjet Printer Inks Extracted from Printed Documents Using Inductively Coupled Plasma-Mass Spectrometry
Abstract: Various methodologies have been used for the comparison and identification of source of printed documents. Although little work has been reported for the identification of a printed document on the basis of elements present in the ink of that document, due to the increased use of coloured printing inks, the current study is focused on the elemental profiling of coloured printer inks. This study provides a successful methodology for the …
Published in International Journal of Analytical and Applied Chemistry · Vol. 4, Issue 2, 2018 · pp. 23–32 Read article
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Recovery of Succinic acid by Reactive Extraction using Tri-n-octylamine in 1-Decanol: Equilibrium Optimization using Response Surface Method and Kinetic studies
Abstract: Reactive extraction is a promising technique for the recovery of organic acids from aqueous streams. Succinic acid, is a white, odorless solid dicarboxylic acid, and is a precursor for some specialized polyesters. Present paper presents an optimization study of reactive extraction of succinic acid equilibrium studies from aqueous solutions using Tri-n-octylamine in 1-Decanol using response surface methodology including reaction kinetics in a stirred cell. Extraction efficiency (Y), a response function …
Published in International Journal of Chemical Separation Technology · Vol. 2, Issue 2, 2016 · pp. 1–14 Read article
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On Line Process and Regulator Control (Detailed Version)
Abstract: Modern manufacturing practices and advancement in process control technology are accompanied and faces two problem, namely, (i) to provide quality goods and services and (ii) to contend with limited resources. Statistical modelling methods can provide broad and effective means to address this problem. Process control practitioners, in the Statistical Process Control (SPC) and the Automatic Process Control (APC) areas have endeavoured to integrate SPC and APC for more than half …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 2, 2018 · pp. 37–62 Read article
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Analysing Seismo-electromagnetic Waves through Wavelet Transformation
Abstract: This research has presented a sophisticated methodology for studying lithosphere-ionosphere coupling phenomena, emphasising the identification of pre-seismic activity through seismo-electromagnetic signal processing. The application of an advanced electric field monitoring device, coupled with the precision of the Discrete Wavelet Transform (DWT), has allowed us to uncover nuanced patterns in the ULF range, specifically related to seismic events during the Kumamoto Earthquakes. The detailed statistical analysis further supports the significance of …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 10–17 Read article
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Two Wheeler Adjustment Factor to Estimate Queue Length at Signalized Intersection under Heterogeneous Traffic Conditions
Abstract: The two-wheeler adjustment factor derived in the present study to predict queue length at approaches of signalized intersections in mixed traffic conditions. The statistical distribution investigation carried out to understand the queuing behavior by using observed queue length obtained from the field. Field data was collected at Suchitra and KBR park intersections in Hyderabad City by using video graphic technic. Highway Capacity Manual (2010) adopted for estimating queue length with …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 7, Issue 2, 2021 · pp. 15–21 Read article
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Decision tree method (Flexibility in adaptation - FIA) for evaluating the flexibility of flood risk adaptation options in Lad Krabang, Thailand
Abstract: Flexibility in planning and implementation of responses to prevent and adapt to flooding can be achieved using methods such as Real in Option (RIO), Adaptation Tipping Point (ATP) and Adaptation Pathway. However these methods lack the ability to evaluate the degrees of flexibility of the adaptation measures. Hence, this paper proposes a method for evaluating and making a comparison between a numbers of different flood prevention plans in terms of …
Published in International Journal of Water Resources Engineering · Vol. 5, Issue 1, 2019 · pp. 32–48 Read article
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An Improved Approach for Edge Detection of Noisy Images
Abstract: Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Rothwell-Sobel-Prewitt edge detectors …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 7–13 Read article
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Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images
Abstract: Diabetic Retinopathy (DR) location is a point of high enthusiasm for therapeutic picture investigation since the examination of DR is essential for finding, treatment arranging and execution, and assessment of clinical results in ophthalmology. Programmed or self-loader DR location can bolster clinicians in playing out these undertakings. Diverse restorative imaging methods are at present utilized in clinical practice and a suitable decision of the identification calculation is required to manage …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 14–26 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Design and Development of Vibration Apparatus to Study Human Body Vibration
Abstract: As there is abundance of labor, they are treated as disposable beings and their lives are not valued. This happens because on one hand, countries like Canada, England, etc. which have guidelines like the A(8) methodology for working on such machines which restrict the worker for working on a machine over a fixed amount of time but in India there are no ISO standards for how much time a labor …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 1, 2019 · pp. 15–31 Read article