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148 articles for “Ved”
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Optimization of Process Parameters of Two Way Abrasive Flow Machining by Grey Relational Analysis Coupled with Principle Component Analysis
Abstract: Now a days as the advancement of technology is increasing rapidly, expectation of human, from industry also increased. To fulfil these expectations new technologies are coming into existence. In this regard unconventional machining processes are playing an important role. Abrasive flow machining is a non-traditional finishing process used for finishing parts with predominantly irregular geometry. In AFM, material removal and surface finish takes place by flowing visco elastic abrasive carrier …
Published in Journal of Experimental & Applied Mechanics · Vol. 6, Issue 2, 2015 · pp. 44–56 Read article
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Multi Response Optimization of Process Parameters of Abrasive Flow Machining for Brass by GRA Based Analysis
Abstract: The abrasive flow machining (AFM) is a recent manufacturing technique that uses the flow of a pressurized abrasive media for removing work piece material. In comparison with hand polishing, AFM is assumed to be a very efficient process, suitable for finishing of vent passage and complex surfaces. Abrasive flow machining (AFM) is a fine finishing process for internal inaccessible cavities or recesses. It employs an abrasives laden semi-solid media which …
Published in Journal of Experimental & Applied Mechanics · Vol. 6, Issue 3, 2015 · pp. 14–22 Read article
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Estimation of Process Capability Index Using Confidence Intervals of Process Parameters
Abstract: The conventional process capability index (PCI) is a measure of process performance whose value depends on the process mean (), standard deviation () and the specified tolerance. The point estimates of and are used to estimate the PCI. In this paper, a new PCI is proposed by utilizing the 100(1-)% Confidence Intervals (CI) for both and . This has led to nine possible estimates of PCI which …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 49–57 Read article
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Characterization of Endofungus Aspergillus nomius EF8-RSM Isolated from Aloe vera Western Ghats of Karnataka India
Abstract: The objective of the present research investigation was to reveal the versatile nature of endophytic Aspergillus nomius EF8-RSM. The fungus was purified from Aloe vera, Western Ghats of Karnataka, India and sequence was submitted at NCBI under the accession number MN871698. The fungus successfully produced Indole acetic acid at the rate of 49.21±6.1 μg/ml and phosphate solubilization was confirmed with solubilization index (1.63). The fungus showed production of siderophore, ammonia …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 11, Issue 1, 2020 · pp. 22–30 Read article
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Perspectives on ‘Kamsaharitaki’: an Ayurvedic Formulation for COVID-19 related Multisystem Inflammatory Syndrome (MIS)
Abstract: Background and Aim: Angiotensin-converting enzyme 2 receptor (ACE2), together with Transmembrane protease serine 2 (TMPRSS2), is a protein receptor for SARS-CoV-2 virus in the host subject; expression of ACE2 and TMPRSS2 reveals the multidimensional character of COVID-19 infection. SARS-CoV-2 Prominently induces pulmonary and systemic injury with other synergistic mechanisms. Preexisting chronic inflammatory conditions markedly sustain and aggravate the severity and cytokine storm. Inflammatory responses are closely linked with COVID-19 severity …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 11, Issue 1, 2022 · pp. 28–39 Read article
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Comparative Study of Drain Current of Symmetric and Asymmetric DG-MOSFET with Simulation in Silvaco TCAD Software
Abstract: One of the most attractive and promising devices for the nanoscale devices is the double gate MOSFET. The double gate MOSFET can control the Si channel very efficiently and it chooses a very small width of the Si channel. It controls the Si channel by applying gate contact to either side of the channel. The idea of controlling the S channel in such a way reduces the short channel effects …
Published in Journal of Semiconductor Devices and Circuits · pp. 1–13 Read article
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Numerical Studies on Deep Drawability of the Aluminium Alloy, AA6082 and Parameters Affecting It
Abstract: Deep drawing is a metal forming operation used for manufacturing sheet-metal components for application in the automobile, aerospace, and packaging industries. The objective of the present work was to study the various parameters influencing the drawability of AA6082. The deep-drawing process was modeled and simulated in Ls-Dyna Pre-Post(R) V4.6.17 software. The tensile test was performed according to the ASTM-E8M standard on AA6082-T6 material and subsequently annealed to attain higher ductility. …
Published in Journal of Polymer & Composites Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Instant Response Garbage Disposal Using Android Application
Abstract: Solid waste is a major concern for government bodies and is a consequence of development, modernization, and urbanization. It refers to anything that is not a gas or liquid and poses a serious threat to the natural environment. Solid waste is a type of refuse that can accumulate in a certain area for an extended period of time if not properly managed. The waste can persist in the environment until …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Dengue in India : Insights in the Indian Context
Abstract: The mitigation of infectious diseases in India, notably Dengue, assumes pivotal importance due to their significant repercussions on human and animal health, thereby imposing a considerable burden on the healthcare infrastructure. This review underscores the ongoing initiatives in infectious disease management, endorsing the implementation of a comprehensive healthcare strategy. Emphasis is placed on the augmentation of reporting mechanisms through the integration of IgM detection kits, advocating for heightened investments in …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 10–13 Read article
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Universities in Ancient Bharat
Abstract: Our country was very much rich in respect of scientific, spiritual, literature and medical knowledge and even also in gross domestic product in comparison to any other country of the world. In single sentence, Bharat (India) was the leader in many respects in the world. Frequent Muslim aggressions started from 711 A.D., looting, burning and killing the intelligent persons by the Muslim in Bharat and destroyed not only physical wealth …
Published in Recent Trends in Social Studies · Vol. 1, Issue 1, 2024 · pp. 01–12 Read article
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Violent Event Recognition and Monitoring Using Deep Learning for Surveillance Videos
Abstract: The significance of real-time capabilities in human detection and tracking is discussed in the abstract of the paper. We talk about tracking, eye detection, and face detection. A thorough motion detection program for use in video monitoring and other applications is suggested by the study. The goal of the study is to further human tracking technology. Optical flow features and appearance-invariant features from a Darknet CNN model are integrated. Acquiring …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 39–44 Read article
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Garbage Classifier Using Arduino
Abstract: In today's era, where prioritizing sustainable methods of waste disposal is crucial, a pioneering initiative titled "Garbage Collection using Arduino Nano " stands out as a revolutionary approach to refining the traditional, labor-intensive methods of household waste collection. Utilizing the Arduino Nano microcontroller, this project introduces a sophisticated waste management system equipped with diverse sensors and mechanisms. Through the automation of waste collection, this avant-garde system not only enhances efficiency …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 18–23 Read article
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Raspberry Pi Based Tactical Autonomous Surveillance System
Abstract: In the ever-evolving realm of security and surveillance, the need for autonomous systems capable of operating in challenging environments has become increasingly evident. The Raspberry Pi-Based Tactical Autonomous Surveillance and Self-Destruction System addresses this need by combining advanced sensor technology, robust communication capabilities, and a self-destruction mechanism to provide a comprehensive security solution. This project proposes a Raspberry Pi-based tactical autonomous surveillance system that can be used to monitor and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Avian Echoes: Convolutional Neural Network for Bird Vocalization Detection
Abstract: Bird species identification is a complex task within ornithology that demands advanced technological solutions. This research presents an approach leveraging Convolutional Neural Networks (CNNs) for bird species recognition based on identification of bird sound, each employing unique datasets and methodologies. The objective involves a two-stage identification process, beginning with the construction of an ideal dataset. The crucial step involves converting 1D audio waveforms to 2D spectrograms, enhancing CNNs' ability to …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–37 Read article
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Crime Prediction and Criminal Identification System Using Machine Learning
Abstract: Advanced machine learning and data analytics-driven crime prediction and criminal identification systems have become game-changing instruments for contemporary law enforcement. Utilizing past crime statistics, surveillance footage, and additional resources, these systems forecast criminal activity, manage resources efficiently, and improve investigation capacities. With an emphasis on their importance in enhancing public safety and lowering crime rates, this paper presents an overview of criminal identification and prediction systems. Examining the technologies and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
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A Review on: Oral Thin Films: A New Approach to Effective and Easy Drug Delivery
Abstract: Oral Thin Film (OTF) is an advance drug delivery system in which drug is incorporated into dissolvable strip and place in oral cavity for rapid absorption. OTF is useful for patient such as pediatric and geriatric who have difficulty swallowing pills. It provides rapid action, precise dosage and improved bioavailability. OTFs consist of fast-dissolving films, extended-release films, and mucoadhesive films for various therapeutic applications. The manufacturing processes of OTFs such …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 22–41 Read article
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Resilience Building through Disaster Risk Reduction
Abstract: A catastrophe is a serious disruption to a society's functioning that causes mortal, material, profitable, and environmental losses beyond a community's capability to manage. It results from the admixture of hazards, surroundings of exposure, and lack of volume or measures to lower the implicit negative results of threat. Hence, catastrophe control may be delineated as the arranging and administration of effects and the responsibility for handling all philanthropic angles of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 32–45 Read article