International Journal of Science Engineering and Advance Technology (IJSEAT)
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Design and Analysis of Turbo Jet Engine
This project endeavors to create a turbojet engine using Catia software. The design draws upon extensive research from industry experts and historical advancements in jet engine technology. Carefully chosen design methodologies were employed to streamline the engine design process, with the primary goal being the development of a fully functional turbojet engine.
The landscape of air travel has evolved significantly, enabling swift global travel. However, the aviation industry faced limitations in the past, relying on Rotary Piston IC engines characterized by constrained travel speeds and distances, high fuel consumption, and elevated transportation expenses. The advent of turbojet engines, classified as Rotary-Reaction Turbine Engines, marked a pivotal advancement in aviation. In contrast to Rotary piston engines, turbojet engines demonstrate superior efficiency, catalyzing the subsequent evolution of engines like turbofan, turboprop, and turbo shaft engines as enhancements over the original turbojet design
Diverse Fuzzy Numerical Systems and Their Utilization in the Context of Rankings
This research article explores the diverse realm of fuzzy numbers, with a specific focus on defuzzification using the bounded area method and its general applications. Fuzzy numbers, introduced by Lotfi A. Zadeh, have proven to be a powerful tool for handling uncertainty in mathematical modelling. The study begins by providing an overview of the foundational concepts of fuzzy numbers, including their types such as Triangular, Trapezoidal, Pentagonal, Hexagonal, and Heptagonal fuzzy numbers. The core of the research delves into the defuzzification process, with a particular emphasis on the bounded area method. This method, introduced for defuzzifying fuzzy numbers, offers a systematic approach to convert fuzzy sets into crisp values by considering the area under the membership function within a defined range. The article explores the mathematical underpinnings of the bounded area method and elucidates its application to various types of fuzzy numbers. Furthermore, the research investigates the general applications of defuzzification by the bounded area method across different domains. From its utilization in control theory to signal processing and decision-making systems, the study highlights the versatility and efficacy of this defuzzification approach. Real-world examples and case studies are presented to underscore the practical significance of employing the bounded area method in diverse applications
PV Fed BLDC Driven Water Pumping System With MPPT Technique Employing Zeta Converter
Renewable sources will be increase in value through automotive sector even by usage of a brushless DC (BLDC) driven photovoltaic (PV) pumping systems. The power transfer and address the downside associated with traditional DC-DC converters are being improved by usage of zeta converter. By monitoring the zeta converter operating period via the PSO-based Maximum Power Point Tracking Algorithm, optimum power is derived from either the solar array. That hybrid energy storage system (HESS), which preserves the constant voltage at the input of BLDC generator, PV framework for the reduction of PV performance volatility will be implemented. By using a robust power management algorithm PV-HESS will be properly controlled. That complete MPPT power management allows its Zeta converter simple for both the water pumping device to achieve smooth efficiency. While comparing other methods of MPPT technique, INC-conductance based MPPT technique is best because it provides better results for randomly varying atmospheric conditions. The control system 's output is displayed with MATLAB/SIMULINK allowing atmospheric variance
E-Voting For Universities Using Face Recognition
This report describes an online voting system designed to meet the needs of colleges and universities. Voting is a widely spread, democratic way of making decisions and can be used for electing student presidents and class representatives at the college level. The main objective of the proposed system is to develop a more secure and user-friendly voting system compared to the existing methods. The process of voting is critical in terms of safety and security. The proposed system allows the voters to scan their faces, which is then matched with the already saved images within the database. There is a high chance that the voter's choice to be revealed in the traditional system, which is not the case in this proposed system. By using face recognition, it provides enough security to eradicate the dummy votes. The system also provides clear visualization of data regarding the percentage of total votes cast, the percentage of votes each party secured, and the final winner in the election
Based on PV's New Control Strategy A Fuzzy Logic Controller Is Used To Track Power Oscillation Damping
In order to dampen power oscillations (POD) in transmission networks, this paper provides a novel control of a PV solar system as a STATCOM, or PV-STATCOM. It is suggested that the solar farm temporarily (few tens of seconds) stop generating real power in response to power oscillations caused by system disturbances and instead use its complete inverter capacity as a STATCOM for POD. Power oscillations are dampened as soon as they occur, and the solar farm gradually returns to its pre-disturbance output level. Faster restoration is possible because of this method rather than the grid codes. During the night, the entire inverter capacity of the solar farm performs POD. MATLAB simulations indicate that the suggested control increases power transfer capacity significantly and continuously in systems that exhibit both local inertial and inter-area oscillatory modes. To provide POD at the same location, the proposed PV-STATCOM is 50-100 times less expensive than an analogous STATCOM. POD (power outage detection) is a new business prospect for solar farms that can save transmission companies money. In order to regulate pv-statcom more effectively, this paper utilises fuzzy logic control. MATLAB/SIMULINK was used to analyse the data
Efficient Authority Verification and Ranked Multi Keyword Search in Cloud
Under the single owner concept, encrypted cloud data has sparked various research projects. In fact, however, most cloud servers do not serve a single owner; rather, they enable several owners to share the benefits of cloud computing. The problem of recovering encrypted data from the cloud is perplexing. For recovering scrambled data from the cloud, a variety of search procedures are used. This work revolves around a set of keyword search instruments applied to encrypted data, resulting in great data recovery proficiency. Because many believe that sensitive data must be scrambled before outsourcing to cloud servers in order to ensure client data security, searching through encrypted data is a method of remarkable interest for the cloud computing moment. Strategies from multiple spaces are used to provide a productive and secure search technique over scrambled data. Keyword search, it is assumed, is the finest way for searching encrypted data in the Cloud. It is more productive than searching for a single term
Design of Robust Hybrid Recommender System For Optimal Business Decision Model In E-Commerce Digital Systems
Now a day’s many e-commerce applications amount of data like products and its details, images, description, reviews etc. Recommender systems make life easier by making recommendations. In e-commerce, often some products doesn’t get sold or less profits are earned from the product. Identification of the reason behind the less profits from the product, was a difficult task. So we are proposing a hybrid recommender system that helps the item manufacturer to improve his product. We built a hybrid recommender system by combining various regression algorithms along with backward elimination, CAR(Context-Aware Recommendation)model, user to user collaborative filtering. Finally the optimal business decision is taken by the manufacturer
Secure File Allocation in Cloud Storage Using Audit Services and Deduplication
Data de-duplication is a method of getting rid of duplicate copies of data and has typically been used in cloud storage to reduce the amount of data stored and transferred. However, despite the likelihood that a document is requested by a huge number of clients, there is only one copy of every file stored in the cloud. De-duplication framework hence improves storage use while lowering constant quality. Additionally, when clients outsource their sensitive data to the cloud, security for that data is put to the test. In order to address the aforementioned security issues, the main goal of this study is to codify the concept of an adequate reliable deduplication architecture. In this paper, new distributed deduplication frameworks with improved unwavering quality are provided, in which the data chunks are sent via various cloud servers. Cloud lessens the burden of storing and maintaining the enormous amounts of data. The issues of unwavering quality and security concerns are brought up by external cloud storage. Deduplication and integrity auditing problems are partially caused by the current framework. The main objective of this study is to achieve data integrity and deduplication in order to maintain the security and soundness of our system. With the aid of a guide lessen system, calculating times for data transferring and downloading were slashed in earlier work. Clients' private information is typically more safe, thus this uses encryption to increase security
Analyses of Stability and Power Flow in a Versatile Decentralized Generation System Using UPQC
An allocated generation machine that includes a single-level photovoltaic (PV) machine built into an integrated power quality conditioner (UPQC) is shown in this work. The UPQC serves as a bidirectional link between the DG system and either the grid or a micro grid. DG systems enable active power-line conditioning by injecting solar array-generated energy into the grid. A shunt inverter can be used to form an ac grid in islanded operation whether or not a power storage device is used. The PV-UPQC power flow must be thoroughly evaluated in order to gain a clear understanding of the system's overall performance and how the power converters should be formatted. This is why sizing curves are stated and introduced. Series and parallel inverters can be used to regulate and/or lessen the amount of power they process. For reducing conventional harmonic distortion, an Artificial Neural Network (ANN) controller has been proposed in this study (THD). A thorough study of the PV-UPQC functioning reveals that inverters are powered by active power flow, which is consistent with the findings of the radical expertise. As a result, Dynamic Response's performance can be examined using simulations
Solar Photovoltaic Water Pumping System Utilizing An BLDC Motor Drive
This research describes a cost-effective BLDC motor-driven solar photovoltaic (PV) water pumping system. We're working with a dual stage power conversion here with this solar PV water pump setup. To get the most power out of a solar PV array, the duty ratio of a DC-DC boost converter is adjusted at the first stage. By adjusting the motor speed, the DC bus voltage is kept at a constant level. This regulation reduces motor losses due to the drop in motor currents at a higher voltage for the same power injection as a result of this regulation. Using an INC-based maximum power point tracking (MPPT) control method, the duty ratio can be controlled. Models and simulations of the proposed system's performance have been done in great detail. The speed sensor/encoder is no longer necessary with scalar control. Motor current sensors are also no longer required. An additional speed feed forward term in the control scheme enhances the dynamics even further. The pump's constant variation is not a problem for the proposed control method. BLDC motors, which are more efficient and quieter than DC motors, are used in our suggested system. Maximum PV generator power loss is well matched to the BLDC motor's load characteristics. Analyzed are the MATLAB/SIMULINK results for several DC-DC converter topologies