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239 articles for “PROACTIVE”
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Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
Abstract: Floods are among the most severe natural disasters, capable of causing significant damage to both the environment and society. This research utilizes the Gumbel distribution to analyze flood return levels by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and precipitation patterns to understand the dynamics of flooding in the region. By analyzing these parameters, the research aims to identify severe weather trends and …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Smart Dustbin for Household Using Internet of Things (IoT)
Abstract: This article, titled “Smart Dustbin for Household Using Internet of Things (IoT)”, introduces an innovative solution to manage household waste effectively. In today's fast-paced world, many individuals find it challenging to dispose of garbage regularly due to busy schedules. This IoT-based system aims to address this issue by employing sensors and connectivity to monitor the fill-level of dustbins in real time. By utilizing ultrasonic sensors and microcontrollers like the ESP32, …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 38–48 Read article
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CLA0D1T—Auditing AWS Services S3 and IAM
Abstract: The swift embrace of cloud computing has revolutionized how organizations handle and provide their services, delivering unmatched scalability, flexibility, and cost-effectiveness. However, this shift has also introduced a range of new security challenges and vulnerabilities, particularly concerning data access and identity management. This project specifically aims to address these issues within the context of Amazon Web Services (AWS), focusing on auditing the Simple Storage Service (S3) and Identity and Access …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 1–12 Read article
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Safe Travel: Road Accident Analysis, Severity Prediction, and Safe Route Mapping
Abstract: Road accidents pose a significant threat to public health, resulting in millions of injuries and fatalities annually. With an estimated 1.2 million lives lost and 20 to 50 million people injured each year, the escalating trend of traffic accidents demands urgent attention. To address this issue, specialists utilize advanced algorithms such as random forests to analyze historical road crash data, aiming to predict accident hotspots. By identifying patterns and trends …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 39–44 Read article
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Health Buddy: Your Wellness Partner in Every Step Towards a Healthier You
Abstract: Health Buddy is an innovative and user-friendly mobile application designed to help individuals take proactive steps toward better health management. In an era where digital solutions are increasingly integrated into our daily lives, Health Buddy offers a comprehensive platform that combines a wealth of health-related information with personalized recommendations tailored to each user’s unique needs. The app is equipped with a range of features that make it easier for users …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 48–53 Read article
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Role of Diet on BMI in Muslim Population of Jamia Nagar, New Delhi
Abstract: The aim of this study was to see the effect of diet mainly non-vegetarian on Muslim population on basal metabolic rate, that is, BMR. It has been found that BMR increases with the consumption of non-vegetarian diet. The study found that the average BMR level in the group exceeded 30, placing them in the obese category. This suggests a significant link between diet, particularly a non-vegetarian one, and increased BMR. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 1–5 Read article
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DentiDetect: Dental Diagnosis Powered by Deep Learning
Abstract: Dental X-rays play a crucial role in modern dentistry, enabling dentists to detect cavities, bone loss, and other hidden dental issues that are not easily visible during a routine examination. X-rays offer a clear picture of teeth, bones, and nearby tissues, enabling early identification of issues. This helps create more efficient treatment strategies and improves patient outcomes. Three commonly used types of X-rays include bitewing, periapical, and panoramic. Bitewing X-rays …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 3, 2024 · pp. 21–26 Read article
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Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
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Exploring the Role of Advanced Shell Scripts for Malware Threat Detection
Abstract: This study investigates the application of advanced shell scripts in detecting malware threats within computer systems. As cyber-attacks become more sophisticated, traditional detection methods frequently prove inadequate, highlighting the need for innovative approaches. The research highlights the effectiveness of shell scripting in automating the monitoring and analysis of system behavior, file integrity, and network traffic. By leveraging patterns and signatures of known malware, the scripts can identify anomalies indicative of …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 6–16 Read article
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The Impact of Climate Change on Animal Health and Veterinary Practices
Abstract: Climate change poses significant challenges to animal health, altering disease dynamics, impacting livestock productivity, and threatening wildlife populations. Rising global temperatures, changing precipitation patterns, and increased frequency of extreme weather events have direct and indirect effects on both domestic animals and wildlife. Heat stress in livestock, for instance, reduces productivity, fertility, and overall well-being. Water scarcity, malnutrition, and changing ecosystems also compromise the health of animals, making them more susceptible …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 26–30 Read article
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Smart Farming Using Mesh Network
Abstract: The increasing demand for food production due to the growth of the world population has led to various challenges in agriculture. Factors such as the reduction of the rural workforce and the rise in production costs have made it necessary to find innovative solutions to enhance productivity and efficiency. Smart farming, which integrates agricultural practices with the Internet of Things (IoT), has become a promising method to tackle these challenges. …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article
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Enhancing Safety Protocols in Industrial Operations
Abstract: Industrial safety is a crucial aspect of maintaining both operational efficiency and protecting the workforce in hazardous environments. Despite significant advancements in safety technologies and regulatory frameworks, industrial accidents remain a persistent problem, often leading to severe injuries, fatalities, and financial losses. Such incidents typically arise from a combination of factors, including human error, equipment malfunctions, and insufficient safety protocols. In response to these challenges, this paper examines key strategies …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Review of Current Trends in Vaccine Development against Zoonotic Viruses: Challenges and Innovations
Abstract: The emergence of zoonotic viruses poses a significant threat to global public health, necessitating rapid advancements in vaccine development. This review highlights the current trends and innovative strategies employed in the creation of vaccines against zoonotic pathogens, including but not limited to viruses responsible for diseases such as Ebola, Zika, Nipah, and more recently, SARS-CoV-2. We discuss various vaccine platforms, including inactivated, live attenuated, mRNA, and viral vector vaccines, focusing …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 1–11 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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Disease X: Unveiling the Unknown Pathogen and Enhancing Global Preparedness
Abstract: “The concept of “Disease X” was introduced to drive the creation and refinement of versatile technologies such as vaccines, therapeutic drugs, and diagnostic tests, which could be swiftly adapted and utilized in response to future infectious disease outbreaks with epidemic or pandemic potential. The aim was to establish a proactive approach to emerging health threats by developing platform technologies capable of addressing a broad spectrum of potential pathogens. The COVID-19 …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 15–20 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Seismic Analysis of G+30 RCC Frmaed Structure and Use of R.C Jacketing
Abstract: In high-rise buildings, such as G+30 reinforced concrete (RCC) framed structures, key concerns during seismic events include maintaining structural integrity, preventing catastrophic collapse, and ensuring the safety of occupants. Seismic retrofitting is a vital process aimed at enhancing the resilience of such buildings and infrastructure against earthquake forces, by strengthening their ability to withstand seismic activity. This abstract provides an overview of numerous seismic retrofitting projects implemented worldwide, focusing on …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 20–37 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article
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Designing a Disaster Resilient Community in Flood prone zones of Srinagar, Uttarakhand.
Abstract: Uttarakhand, a state that scuffles with the dual challenges of climate change and rapid development, is particularly vulnerable to devastating floods. This research delves into the critical issue of strengthening community resilience against such disasters. By examining the interconnected factors of preparedness, mitigation, and response, the study aims to develop a robust framework for safeguarding lives and livelihoods in flood-prone regions. A cornerstone of this research is the exploration of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 8–19 Read article
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Enhancing Workplace Safety through Behaviour-Based Safety (BBS): A Case Study and Experimental Analysis
Abstract: Behavior-Based Safety (BBS) is a method designed to enhance workplace safety by concentrating on the actions and behaviors of workers. It works by encouraging a proactive safety culture where everyone is actively engaged in preventing accidents. This article explores the principles of BBS, describes an experimental case study conducted at a manufacturing facility, and presents the outcomes and implications. The case study used Behavioural observation, feedback, and training as interventions …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 25–28 Read article