Investigating the Impact of Hidden Speed Check Radar on Road Accident in Oman

The road is the place that people use to move in their cars, but it is a double-edged sword, as it is one of the reasons that lead to the loss of lives. so, our research focuses on studying how the hidden speed camera impact on accidents either increases or decreases. The goal is to target a group of people who can drive through the questionnaire that they will answer, which contains several questions related to whether hidden cameras are the biggest cause of accidents or not. The aim of this research is to protect the general population and find out whether a hidden camera may be the cause of accidents or not, and to educate them on the importance of adhering to the speed limit and paying attention when driving, whether the radar is hidden or visible. Determine whether hidden speed cameras have a positive or negative impact on traffic accidents. Study the role of speed cameras in reducing speed. It is also to study the relationship between hidden cameras and reducing accidents and evaluate the safety and effectiveness of speed cameras. The importance of the research lies in educating people to reduce accidents that are caused by speeding and knowing if the speed camera that is hidden so that it can catch reckless drivers may cause accidents or not through the graphs that will show whether the hypothesis was developed, which is that if the hidden speed camera is a reason for deterring reckless drivers, then it may reduce accidents because it forces the drivers. It is possible that this study shows the truth that the hidden speed control camera has a significant impact, as it causes accidents because the camera light may suddenly turn on, causing the driver to deteriorate, resulting in an accident

Augmented Reality Based Assisted Healthcare for Enhancing Medical Rescue and Doctor-Patient Consultations with AR-Headset

Technological progress in the healthcare sector has created new opportunities to enhance surgical precision and patient care. This study explores how augmented reality (AR) technology can help the medical industry close the gap between the digital and physical realms. AR has the potential to improve communication between doctors and patients, make complex medical information easier to understand, and help medical professionals diagnose and treat patients more successfully. It can reduce the need for printed pictures and diagrams by superimposing digital information onto a patient's body to provide surgeons a clearer understanding of the anatomy they are working on. The purpose of this research paper is to develop and deploy an assistive system that uses augmented reality (AR) technology to give medical professionals and rescue teams vital information. The solution smoothly combines digital data with the real-world perspective by integrating semi-transparent glasses into AR-Headsets. Enhancing patient-physician consultation and increasing the knowledge of complicated medical information is the main goal. The creation, application, and possible effects of this AR-based system in the healthcare sector are covered in this study

Smart Waste Segregator with Overflow Control Mechanism

Waste disposal is a major issue today, with well-known negative impacts on the environment, human health, and animal life. This research proposes a low-cost automated trash segregator with an overflow management system for efficient small-scale garbage disposal. The system uses sensors to segregate waste into different categories and also detects bin capacity to prevent overflow. It is designed to be cost-effective and user-friendly, making it suitable for household and small-scale waste disposal. The system employs three sensors to segregate metallic, dry, and wet wastes that serve as the input devices connected to the Arduino microcontroller. Furthermore, three ultrasonic sensors monitor bin capacity independently. Its affordability and user-friendly design make the system well-suited for household and small-scale waste disposal. Future improvements may include integrating machine learning algorithms and internet connectivity for better monitoring and management

IoT-based Smart Traffic Cone System to Avoid Traffic Congestion and Improve Road Safety

Chain-reaction automobile accidents are a common occurrence, especially on freeways. Several reasons can lead to these collisions, such as speed, failing to see stop signs for oncoming traffic, and unforeseen road conditions. The Internet of Things (IoT)-Based Smart Traffic Cone System is created as a solution to these problems. It makes use of a variety of sensors and IoT technologies that are elegantly incorporated into the traffic cone's design. It is a solar-powered smart portable device in the shape of a traffic cone. Particularly on two-way roads, the traffic cones are positioned strategically in the median of the road. In addition, a traffic display panel is placed near the signal to make necessary adjustments before encountering traffic jams. A Bluetooth system is used to alert the drivers inside their vehicles about the road conditions. This initiative is aimed at the VISION 2040 of Oman, which emphasizes the creation of smart and sustainable cities with advanced IT infrastructure. The smart traffic cone represents an innovative solution developed after long research and with the recommendations and guidance of the Royal Oman Police (RoP) for the advancement of smart city development. Through continued research and development efforts, the functional prototype of the Traffic cone system has been successfully developed

Modeling the Advancement of Sanad Services Implementation in the Sultanate of Oman

One of the widely most used service providers across the Sultanate are Sanad Service Centers. They provide number of services for various purposes to facilitate people. Some of the services are related to Government offices such as Ministry of Labor and Royal Oman Police [3]. The Sanad Service Centers are licensed offices [3] and few of their services are intermediary in nature between the applicants and Government bodies. The Sanad Offices are operating physically and processing the request of different types of applications for individuals and companies such as visa processing, visa renewal and many others. To avail the offered services, physical handling of documents and visits are needed which can be transformed based on the idea of this paper is presenting. The advancements in this sector will have a major impact in a bigger scope to facilitate the large number of end-users with convenience and simplicity. The paper highlights the transformation and implementation of Online Sanad Services and will discuss the advancements of digital transformation to mobilize the services accessible to end-user in better, fast, timely, remotely, and secure manners. The transformation of Sanad Services from brick-and-mortar to click-and-mortar scenario will be an advantage and beneficial for all the stakeholders. It will reduce the chances of documents misplacement and ensure the availability of the contents for reuse as some of the services are required to complete and repeat on periodical basis due course of time. The study aims to design an industry specific model that can serve in the implementation and development of Online Sanad Services to meet the challenges of modern world requirements. The basic elements discussed and represented in this paper are the solution architecture comprises the system architecture, process modeling, data flow modeling, entity relationship modeling, and system requirements of the proposed system

Smart Water Quality Monitoring and Treatment Using IoT Technology

The primary purpose of this study is to design and build a water quality monitoring and treatment system with the concept of the Internet of Things (IoT) using Arduino Mega as a core controller, an esp8266 wifi module to connect to the internet, and smartphones to control and monitor the system. The system utilized a water level sensor to monitor the water level in the tank to avoid possible overflow, and to monitor the essential parameters of water quality such as PH, turbidity, total dissolved solids, and chlorine content, and to perform chlorination as a treatment process to maintain chlorine residuals in water. The Blynk App framework was used to integrate the system into the Internet of Things. In addition, a liquid crystal display (LCD) is employed to view the parameters of water quality, if the internet is not available. These sensors wirelessly send the data they continuously collect on water quality indicators to a centralized server for processing. The server responds to requests for smartphones that the Blynk Apps has installed. The automated control mechanisms are put into place at the water treatment control stage based on the data analysis. Additionally, the smart water monitoring and treatment system has user interfaces that can be accessed via web and mobile applications. These interfaces give stakeholders remote access to real-time information about the quality of the water as well as personalized alarms. Such accessibility improves the ability to make decisions and enables quick responses to crucial water quality occurrences. From the results and findings of the research, the IoT-based Water Quality Monitoring and Treatment System is efficient and effective in detecting water quality and provides treatment using automatic chlorinatio

On the Upper Bound for Growth Rate of Hydromagnetic Swirling- flows

We consider stability of inviscid, incompressible, hydromagnetic swirling flows. We obtained supremum for the growth rates. Growth rate has been illustrated with three standard examples. Growth rate depends up on vorticity function, velocity profile and wave number. Furthermore, we obtained upper and lower bound for neutral phase speed. Also, we derived an instability regions depending on Rayleigh-Synge-Michael discriminant, velocity profile and radii

Ethical and Privacy Concerns in Data Analytics

This article explores the ethical and privacy concerns that arise in the field of data analytics. With the increasing use of data for decision-making and insights, it is crucial to address the ethical considerations and privacy implications associated with data analytics. This article discusses various aspects of ethical data handling, including data collection, usage, security, and compliance with regulations. It also highlights privacy concerns and discusses methods to ensure responsible and ethical data analytics

Heart Attack Prediction Model Based on Feature Selection and Decision Tree Approaches

The purpose of this study is creating a machine learning based model is to predict heart attacks is to improve the capacity to anticipate the occurrence of this dangerous medical condition. It is feasible to find significant and linked variables that may cause heart attacks by using the decision tree as a tool for medical data analysis. The system analyzes clinical data using artificial intelligence techniques to find patterns that might suggest the possibility of a heart attack. The advantage is early disease detection and prediction, which allows the medical staff to better plan treatment and take preventative action. This kind of system can aid in enhancing patient care and lowering the likelihood that. Throuought the study, two paths will be examined, the first one is applying machine learning algorithms without applying feature selection, and the second one with feature selection process. Three mainly feature selection algorithms will be examined to find the most correlated features that affect the heart attack. The model will examine six machine learning decision tree algorithms namely (decision stump, hoeffding tree, j48, LMT, random forest, and rep tree) to find the accurate algorithm in prediction. The results show that LMT have the accurate prediction accuracy with 82.5%

Scientific Exploration into the Promising Realm of Magnetic Energy: A Literature Review

ABSTRACT: The use of permanent magnets, renowned for their self-sustaining magnetic properties, has been predominantly confined to small-scale generators. Conversely, electromagnets, composed of iron or steel cores cocooned within a web of wires, exhibit magnetization when subjected to an electrical current, consequently engendering a magnetic field. This intriguing aspect of magnets has kindled the scientific community's interest, particularly in the realm of electricity generation, where they have proven remarkably effective. As the world stands on the precipice of depleting finite oil reserves, the fundamental question looms large: What will serve as humanity's anchor when the last drop of oil is extracted from the Earth's depths? Could the advent of magnetic energy usher in a new era, redefining our reliance on conventional energy sources? These critical queries serve as the guiding compass for our scientific exploration into the promising realm of magnetic energy