Journal of Science & Technology (JST)
Not a member yet
967 research outputs found
Sort by
Design and Fabrication of Metal Sensor Integrated All Terrain Robot with Live Streaming
Get PDFThe robot is designed to traverse various terrains, detect metallic objects, and provide real-time video streaming for remote monitoring and surveillance applications. The all-terrain robot is equipped with a robust chassis and ruggedized wheels to ensure efficient locomotion across different surfaces, including rough terrain, gravel, sand, and uneven landscapes. The high-torque motor system incorporated into the robot enables it to overcome obstacles and steep inclines with ease, ensuring reliable performance in challenging environments. To drive the high-torque motors employed in the robot's locomotion system, a 10A brushed motor driver is utilized. This motor driver provides the necessary power and control signals to efficiently drive the motors, ensuring precise movement and maneuverability of the robot. The 10A brushed motor driver offers robust performance and protection features, safeguarding the motors from overcurrent or voltage abnormalities. To facilitate metal detection, the robot is equipped with a dedicated sensor system capable of detecting metallic objects within its vicinity. This sensor system utilizes electromagnetic principles to identify and locate metallic targets, providing valuable information about the presence and approximate location of such objects. The metal detection capability enhances the versatility of the robot by enabling applications such as search and rescue, archaeological exploration, and industrial inspections. Furthermore, the allterrain robot is equipped with a live streaming feature, which allows real-time video transmission to a remote location. This feature enables users to monitor the robot's surroundings and activities remotely, enhancing situational awareness and facilitating decision-making in various scenarios. The live streaming capability is achieved through the integration of wireless communication technologies, enabling seamless transmission of video data over a network connection
FACE CHANGER USING DEEP FAKE IN PYTHON
Get PDFThe "Face Changer using Deep Fake in Python" project introduces an innovative application of deep learning techniques for facial manipulation. Leveraging deep neural networks, this project aims to create a Python-based tool that enables users to easily and ethically alter facial features in images and videos. It relies on high-quality face datasets for training and employs advanced deep learning models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to generate highly realistic facial transformations. A user-friendly Python interface is developed to simplify the process, enabling users to upload media and select desired transformations, including changes to identity, expression, or age. Moreover, this project strives to achieve real-time processing capabilities, making it possible to apply facial alterations within live video streams. Recognizing the ethical concerns surrounding deep fake technology, the project addresses these issues by including disclaimers and safeguards, as well as educating users on responsible usage. Quality and performance are paramount, with a focus on creating visually convincing deep fakes while optimizing processing speed. Additionally, measures are implemented to ensure security and privacy, such as watermarking the output and preventing unauthorized manipulation. This project's diverse applications span entertainment, identity protection, education, and creative art, empowering users to explore new avenues of expression and safeguard their digital identities. In summary, the "Face Changer using Deep Fake in Python" project combines cutting-edge deep learning technology with ethical considerations to provide a versatile and responsible tool for facial manipulation in the digital age
EXPERIMENTAL INVESTIGATION OF CONCRETE USING PARTIAL REPLACEMENT OF CEMENT WITH GGBS AND COARSE AGGREGATE WITH DEMOLISHING WASTE
Get PDFTraditionally, Ordinary Portland Cement concrete is used for making the civil structures. Rising construction costs and the need to reduce environmental stresses to make construction sustainable, has necessitated research into the use of alternative materials, especially locally available ones which can replace conventional materials used in concrete production. In the present study the experimental investigation were carried out to evaluate the effects of replacing cement with Ground Granulated Blast Furnace Slag (GGBS) and coarse aggregate with Demolishing Waste (DW). The Ground granulated Blast furnace slag (GGBS) is an industrial waste and a pozzolanic material that has received considerable attention in both research and application. It is a byproduct of the steel industry. Here the cement is replaced by GGBS in different percentages varying from 0%, 10%, 20%, 30%, 40%, 50%and 60% with Demolishing Waste of 30% constant as a replacement of coarse aggregate. The various mechanical properties and durability test on the concrete specimens were obtained from the partial replacement of cement with GGBS and coarse aggregate with demolishing waste. Keywords- GGBS, durability, demolishing waste
An Efficient Single Instance Scheme With User Authentication To Cloud Data
Get PDFCloud Storage is a computer data storage method where digital data is stored on servers in off-site locations, managed by a third-party provider. This enables organizations to store, access, and maintain data without owning and operating their own data centers. Cloud storage is scalable, allowing organizations to expand or reduce their data footprint depending on their needs. Users upload data to servers via internet, which is saved on a virtual machine on a physical server. Cloud providers often spread data to multiple virtual machines in global data centers to maintain availability and redundancy. Google Cloud offers various scalable options for organizations to store their data in the cloud. The widespread use of cloud computing has made data sharing and storage more accessible, but concerns about data integrity, efficiency, and privacy remain. Duplication, a popular method of data compression, is used to reduce duplicate copies of data in cloud storage. However, data duplication also raises security and privacy concerns, as users' confidential data is vulnerable to attacks from insiders and outsiders. Traditional solutions for duplication, based on convergent encryption, provide confidentiality but do not maintain duplicate checks based on differential permissions. This paper proposes an approved data duplication plan that counts the number of users with differential privileges in the duplicate check.Users with differential privileges are added to the duplicate check, and files are encrypted with differential privilege keys to maintain stronger security. Users can only access files marked with matching privileges for copy checks. A third-party auditor can confirm file occurrence after duplication in the cloud, ensuring timely uploads. This paper offers advantages for both storage providers and users through duplication systems and auditing method
From Zine Balance to Disense Progression: Decoding the Puzzle of Neurodegeneration
Get PDFA vital trace element in the human body, zinc is involved in many physiological functions, including DNA repair,neurotransmission, oxidative stress, and protein synthesis. Intracellular zinc is exported by members of the zinctransporters (ZnTs) family, while extracellular zinc is imported by Zrt-and-Irt-like proteins (ZIPs). The preservation ofcellular zinc homeostasis depends on these mechanisms. Neurodegenerative disorders have been associated withimbalances in zinc metabolism. Through processes like ferroptosis, protein phase separation, oxidative stress,neuroinflammation, and cell death control, zinc level disruptions may affect the survival and function of neurons andconsequently contribute to the development of neurodegenerative disorders. Our knowledge of the pathophysiology ofthese illnesses may thus be improved by doing a thorough analysis of the regulatory network of zinc and looking intothe connection between neurodegenerative disorders and zinc dysmetabolism. Furthermore, it could provide newperspectives and methods for treating neurodegenerative illnesses
HYBRID AI MODELS AND SUSTAINABLE MACHINE LEARNING FOR ECO- FRIENDLY LOGISTICS, CARBON FOOTPRINT REDUCTION, AND GREEN SUPPLY CHAIN OPTIMIZATION
Get PDFThe increasing need for climate change mitigation has led the way towards making logistics andsupply chain management greener. While global trade and transportation are growing, thepollution factor, such as carbon footprints and the use of energy, has taken center stage as a matterof concern. With this, Hybrid AI Models and Sustainable Machine Learning are being incorporatedinto green logistics for reducing carbon emissions and creating sustainable green supply chains. These AI-based solutions employ techniques such as deep learning, optimization algorithms, andneural networks to optimize route transportation, improve vehicle performance, and optimizeresource allocation. With the use of these technologies, carbon footprint minimization has beenable to register improvements of up to 30% in certain situations, and improvements in resourceefficiency have been witnessed at 25%. The convergence of these technologies not only enablesthe reduction of carbon footprints but also increases sustainability in supply chain management.The ability of Hybrid AI models to spur sustainability is discussed in this paper through moreefficient logistics functions, maximizing resource utilization, and enabling green supply chainpractices while creating a mechanism to attain long-term environmental objectives
Application Security Testing and Vulnerability Assessment
Get PDFApplication Security Testing (AST) and Vulnerability Assessment (VA) are critical pillars insafeguarding modern software systems against cyber threats. This paper explores themethodologies, tools, and frameworks underpinning AST and VA, emphasizing theirintegration into the Software Development Lifecycle (SDLC) and DevSecOps pipelines. Itevaluates static, dynamic, and interactive testing techniques, vulnerability scoring systems(e.g., CVSS), and emerging trends such as AI-driven vulnerability detection and cloud-nativesecurity challenges. The study synthesizes data from industry reports (2020–2023) andacademic research to highlight best practices, compliance requirements, and future directions,including quantum-resistant cryptography and zero-trust architectures
El Salvadorian Medicinal Plants with Specific Activity Against Trypanosoma cruzi
Get PDFDiabetes mellitus is a common metabolic illness. Chronic hyperglycemia is a hallmark of diabetes mellitus,Penicillium sp. 8, which presents serious health issues. PDB, phytochemicals, and anti-diabetic medicationsare available worldwide. The goal of this work was to optimize growth factors in order to increase the anti-diabetic efficacy of Penicillium sp8, which was isolated from paddy soi
Enhancing Pharmaceutical Manufacturing and Education Through Augmented Reality Integration
Get PDFSIRT1 is a histone deacetylase that is highly conserved and relies on nicotinamide adenine dinucleotide (NAD+).Numerous pathologic processes, such as cell division, survival, proliferation, autophagy, and oxidative stress, areregulated by it. The heart and cardiomyocytes are shielded against pathology-related stress by therapeutic SIRT1activation, especially myocardial ischemia/reperfusion (I/R). One crucial metabolic mechanism that helps people surviveenergy or nutritional shortages, hypoxia, or oxidative stress is autophagy. Autophagy has two sides when it comes tomyocardial injury. While excessive autophagy after reperfusion depletes the cellular components and causes autophagiccell death, autophagy activation during the ischemia phase eliminates excess metabolic waste and helps preserve cardiacmyocyte survival. Growing studies on I/R have shown that SIRT1 controls myocardial I/R and is implicated in theprocess of autophagy. SIRT1 controls autophagy by a number of mechanisms, including the deacetylation of LC3,ATGs, and FOXOs. According to recent research, SIRT1-mediated autophagy has distinct functions depending on thedegree of myocardial I/R damage. Targeting the mechanism of SIRT1-mediated autophagy at various phases of I/Rinjurymay lead to the development of novel small-molecule medicines, miRNA activators, or blockers. For instance, coptisine,curcumin, berberine, and some miRNAs during reperfusion were implicated in controlling the SIRT1-autophagyaxis,exerting a cardioprotective impact, whereas resveratrol, sevoflurane, quercetin, and melatonin were involved in theischemic stage. To determine treatment approaches for myocardial I/R damage, we discuss here the potential pathwaysof autophagy regulation by SIRT1 in myocardial I/R injury and the associated molecular pharmacological applications
Scalable and Robust IoT-Based Liquid Level Monitoring/Control System for Home and Industrial Automation
Get PDFIn this study, a dependable liquid level monitoring and control system for automated home or industrial settings is presented. The system uses state of the art Internet of Things (IoT) technology to accomplish its goals. The suggested system, which consists of a minimum of four interconnected functional units, utilises Wi-Fi connectivity to establish communication between the parts. These nodes can efficiently share data by using the simple MQTT protocol, which enables scalability by allowing the installation of additional nodes to manage various tank and reservoir levels. In the suggested approach, the Sensor node simultaneously subscribes to several topics pertaining to user settings and measurement frequency while publishing measurements to the server. By subscribing to these topics, the Actuator Control node may control pumps or valves appropriately and communicate their current states. The User Interface node publishes changes to user configuration and subscribes to all topics from other nodes. All firmware codes were created using the C++ libraries and programming structures in the Arduino development environment. An Android application that has been specially created can serve as the system's graphical user interface, allowing users to interact with it via a variety of portable devices