Category Archives: Uncategorized

Abstract-Plasma Physics, the study of charged particles and fluids interacting with electromagnetic fields, is increasingly gaining interest in the field of space propulsion. Traditional chemical rockets have limitations that restrict long-distance space travel, whereas plasma-based propulsion system promise higher efficiency and greater fuel academy. This paper explores the principles behind the plasma propulsion and examines the most recent advancement that bring this futuristic technology closer to practical applications. Additionally, it investigates the ongoing challenges, such as power requirements, fuel sources, and magnetic confinement, and how overcoming these challenges could open new frontiers for deep-space explorations.

Abstract-The aim of this study is to Identification of hazards in various machineries in the steel industry and solution based on the hierarchy of controls. This will minimize the occupational health hazards of the workers. Hazard Identification and Risk Assessment (HIRA) is a process that involves examining what could cause harm to people in black bar to bright bar process workplace and evaluating whether the necessary precautions are in place. The goal is to ensure that no one becomes ill or gets hurt. Based on the risk assessment tool will Identify hazards, assess exposure, evaluate potential risks, and take precautions and to ensure that your workplace is safe and then decide what type of control measures shall be taken to control the employees are protected from harm by using the risk matrix to assist with the process.

Abstract-A serious environmental issue that has an impact on ecosystems, wildlife, and human health is plastic pollution. Since plastic production has increased to almost 368 million tons per year, plastics are found in both terrestrial and marine habitats. Although plastic materials are useful for many purposes, their durability also adds to their persistence in nature, which frequently harms the environment. Millions of marine species consume or become entangled in plastic waste, which can cause harm or even death, making marine life especially vulnerable. Microplastics, which are tiny plastic particles smaller than five millimeters, have also gotten into food chains, affected biodiversity, and endangered human health by contaminating water and shellfish. Plastic pollution has major socioeconomic repercussions since it impacts public health, tourism, and fisheries. Animal health and biodiversity are severely harmed by plastic pollution, which also poses a serious threat to ecosystems and animals. Ingestion, entanglement, or accumulation in food chains are all possible outcomes of the millions of tons of plastic waste that enter rivers, oceans, and terrestrial habitats every year. Fish, marine mammals, seabirds, and other marine species are especially at risk. Malnutrition, internal damage, and obstructions can result from consuming plastic waste, which significantly lowers survival rates. Several governmental efforts are being implemented to reduce plastic production and consumption, encourage recycling and biodegradable alternatives, and increase public knowledge of sustainable practices to reduce plastic pollution. To properly solve this complex issue, however, a comprehensive strategy including individuals, businesses, and governments is required.

Abstract-Automated traffic monitoring solutions have become necessary due to the difficulties of manual monitoring systems and the exponential growth in vehicular traffic. The new Advanced Vehicle Detection System described in this work uses sophisticated computer vision algorithms to identify, recognize, and log vehicle data in real time. Utilizing OpenCV, CNN (Convolutional Neural Network), YOLO (You Only Look Once), and OCR (Optical Character Recognition) technologies, the suggested system detects automobiles and records license plate information. In addition, the system gives law enforcement, traffic management, and institutional surveillance a reliable and scalable approach by automating the entry and exit timestamp logging process. Mostly we are developed for the college buses which has been include arrival and Departure time with an owner details and also the vehicle claim the insurance or not, These also updated the count of vehicle that are recognized by the entry and the exit time. Experimental results demonstrate the system’s high precision and efficiency, ensuring its practical applicability in real- world scenarios. This practical and efficient system is an excellent example of how technology can address real- world challenges in monitoring and managing vehicles.

Abstract-This work is concerned with the machining of Glass Fiber Reinforced Plastics (GFRP), with a primary interest in how surface roughness is affected by cutting tool materials. GFRP has found a niche in aerospace, automotive, and marine applications, and has obtained recognition for its ratio of strength to weight, resistance to corrosion, and thermal stability. Because of the peculiar structure of E-glass fibers in epoxy resin matrix systems, specific problems concerning the use of this material arise, such as delamination, fiber pull out, and wear of tools, thus requiring tailored machining techniques. The experiment compared performance between cut rods using high-speed steel (HSS) and high-carbon steel (HCS) while machining a GFRP rod (30 mm diameter, 240 mm length) using a lathe. Surface roughness parameters are Ra, Rz, Rt, Rpk, all measured by a Talysurf device. The results showed that HSS tools led to smoother surfaces and greater accuracy but that HCS tools were more economically viable for less rigorous jobs. These results touch upon the need for tool selection based on application and give some insight into further pros in terms of coatings, monitoring systems, and further sustainable machining approaches.

Abstract-This study investigated School Management Committee roles and the academic performance of pupils in selected government aided primary schools in Bulambuli Town Council, Bulambuli District. The study sought to; examine the relationship between the supervisory role of School Management Committees (SMCs) and academic Performance of pupils; examine the relationship between the supervisory role of School Management Committees (SMCs) and academic Performance of pupils; and examine the effect of the consultative role of School Management Committees (SMCs) on academic Performance of pupils. The study adopted a cross-sectional research design. Both simple random sampling and purposive sampling techniques were used to select the sample of respondents. The researcher studied a sample of 82 participants who included teachers, SMC members from selected government-aided primary schools, officials from DEO’s office and CCTs of selected schools in Bulambuli TC. Questionnaires and key informant interviews were used for data collection. Quantitative data from questionnaire was analyzed for both descriptive and inferential statistics using SPSS and Excel while qualitative data was analyzed thematically. The findings of this study were that; SMCs have significant influence on academic performance of pupils. The Pearson correlation coefficient shows that there is a significant positive relationship between the administrative role of SMCs and academic performance of pupils, r = 0.729, p = 0.000; supervisory role of SMCs influences the academic performance of pupils, r = 0.689, p = 0.000; and consultative role of SMCs has a significant positive relationship with academic performance of pupils, r = 0.648, p = 0.000. From the findings of this study, the researcher recommended that the SMCs should work with school administration to provide support such as academic intervention programs to struggling pupils so as to improve the academic performance of pupils; tighten regular monitoring and assessment of pupils’ progress to identify areas of improvement; and work closely with parents and other stake holders to support pupils’ learning. By involving the broader school community in academic initiatives, school will create a network of support that might help pupils thrive academically.

Abstract-This study examines the effects of interrupting versus continuing beta-blocker therapy in post-myocardial infarction patients. The ABYSS trial, a multicenter noninferiority study, found that interrupting beta-blocker therapy did not offer any advantages over continuation in reducing major cardiovascular events or improving quality of life. The interruption group experienced a slight increase in hospitalizations for coronary-related conditions. These findings challenge existing guidelines recommending beta-blocker discontinuation after one year for certain patients. The trial highlights the necessity for additional research to clarify the role of beta-blockers in modern post-MI care, especially for patients with preserved left ventricular function.

Abstract-Light fidelity (Li-Fi) technology is a wireless communication system that utilizes visible light spectrum to transmit data with high speed and secure manner compared to the traditional Wireless Fidelity (Wi-Fi) architecture. In this paper a smartphone is used in Li-Fi communication system. The aim of this proposed approach is to maximize the bit rate with high accuracy by using the flashlight of built-in smartphone camera as a source to send data and detect the effect of using a built-in smartphone ambient light sensor and external light detector sensors that is connected to Arduino UNO circuit to receive data. Four practical experiments were conducted to discover which light sensor accomplish higher data bit rate and tested the system performance under changing the distance between transmitter and receiver. The evaluation results demonstrated that the data bit rate is better with the proposed research than the others, where it reached more than 100 bps with accuracy 100%.

Abstract-Cloud Computing with field of emergence with frameworks with intelligent platform based on cloud which is designed with “reliability , availability “ with key deliverables with a specific and specialized platforms which are designed on methods for computing technology and service streamlined with pattern – self based analysis for Multimedia Management with Enterprise on Digital Platforms for reviewing Data Agents for digital Background for computing level of architecture format with a self-developing ecosystem for pattern recognition and texture delivering format.