International Journal on Future Revolution in Computer Science & Communication Engineering
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Review and Analysis on Solar Energy Forecasting Using Soft Computing and Machine Learning Methodologies
Get PDFTraditional power producing methods can't keep pace with India's growing need for electricity. New Delhi to Kolkata were all without power as of July 30, 2012, due to the world's largest blackout. In the next five years, India's power generation capacity will expand by 44 percent. Demand for power develops as India's population and economy expand. To reduce power outages and satisfy future energy needs, what needs to be changed? India has made the decision to move away from fossil fuels in favor of renewable energy sources, both for economic and environmental reasons. There has been an increase in the use of solar PV panels as a sustainable energy source in recent years. With improved access to data and computing power, machine-learning algorithms can now make better predictions. Machine learning and time series models can assist many stakeholders in the energy industry make accurate projections of solar PV energy output. In this study, various machine learning algorithms and time series models are evaluated to find which is most effective. While much research has already gone into wind energy forecasting, solar energy forecasting is only now beginning to see an uptick in interest. A detailed review and analysis model is presented in this study. Power system operational planning has become a major issue in today's world. In order for the power system to function properly, a range of factors must be anticipated with the utmost accuracy over various forecasting horizons. It is important to note, however, that scholars have devised a variety of methods for forecasting distinct factors. Exogenous variables play an important role in the implementation and analysis of new forecasting models that have recently been published in the literature. In order to predict renewable energy resources, an intelligent approach is needed. Achieving the best accurate forecasts for these variables while minimizing computing effort is a work in progress because of the rising complexity of the power system. Solar power forecasting as well as wind power forecasting will be the focus of this research in light of these concerns. Comparing these models' outcomes to the results of previous models will also be done
Report on Various Methodologies of API Authentication Testing: Lifecycle, Application use and Challenges
Get PDFAPI testing is the process of testing the application programming interface to make sure that it is secure, correct, reliable and is in alignment with the best practices of the business or organisation. The popularity of API began when internet as a service came into the market. The benefits of using API have been introduced in organisations and developers are encouraged to report and use API as much as possible. This is since API have specifications and elements which helps the organisations to manage their API efficiently bases upon the integration, important documentation, and testing tools. Over the period, most of the organisations are moving their applications and processes online due to which all the crucial data is available online. This gave rise to security and privacy issue of the data and information of the clients of the organisation. It is important that proper API authentication protocols and methods are followed to provide best secure and safe APIs to the end user
A Brief on Home Automation Using IoT
Get PDFWith the recent advances in automation worldwide, items that are widely available to every person of the country are crucial to keeping their rapidly developing environment up to date. We are delighted to showcase our investigation using these items on an IOT-based home automation device designed, implemented and produced in India. Energy efficiency conservation is becoming a major challenge in developing countries worldwide, in particular. A key cause is the lack of knowledge among end-users (or customers), which may help mitigate the above-mentioned problem, of the employment of new and developing techniques and technologies e.g. Internet-of-things (IoT). This research presented the most advanced technology in the literature on IoT-compatible energy conservation methods. This study also points out aspects of the infrastructure and communication models utilised to create IoT-enabled applications in the literature
Design Simulation of Improvement of Voltage Profile and Loss Minimization by Efficient Placement of Distributed Generation in Grid Connected System
Get PDFElectricity consumption is rapidly increasing, and the gap between generation and load is widening. The mismatch between demand and load causes a range of problems, including failure, low power, and, in certain cases, blackout. These issues will be solved by including Distributed Generation (DG) into the system. For maximum dependability, technological and economic benefits, and optimal size and capabilities of distributed generators, the proper distribution of power systems, kind of generating equipment, number of units, and so on are critical. Among these concerns, the difficulty of placing DG units in the best location and size is critical. Inadequate DG resource distribution to the power system will result in increased power losses. This problem is solved using genetic algorithms. For the conventional 15 bus radial distribution system, the load flow is generated using the backward forward sweep method. Load flow is used to assess the impact of DG size and location on system losses. Machine losses rise as a result of inappropriate DG allocation. As a result, the genetic algorithm (GA), an evolutionary process, is being researched, and an algorithm is being created to discover the appropriate size and position of the distributed generation unit in a radial distribution system. The overall active power losses are reduced, and the voltage profile is improved due to proper DG allocation. Introduces a multi-objective feature that accounts for active power losses, voltage changes, and DG costs, with each variable given a weight. Voltage limits, active power loss constraints, and DG size limitations all affect objective feature minimization. This method is utilized on the conventional 15 bus radial distribution system
Numerical Simulation and Design of Copy Move Image Forgery Detection Using ORB and K Means Algorithm
Get PDFCopy-move is a common technique for tampering with images in the digital realm. Therefore, image security authentication is of critical importance in our society. So copy move forgery detection (CMFD) is activated in order to identify the forged portion of a photograph. A combination of the Scaled ORB and the k-means++ algorithm is used to identify this object. The first step is to identify the space on a pyramid scale, which is critical for the next step. A region's defining feature is critical to its detection. Because of this, the ORB descriptor plays an important role. Extracting FAST key points and ORB features from each scale space. The coordinates of the FAST key points have been reversed in relation to the original image. The ORB descriptors are now subjected to the k-means++ algorithm. Hammering distance is used to match the clustered features every two key points. Then, the forged key points are discovered. This information is used to draw two circles on the forged and original regions. Moment must be calculated if the forged region is rotational invariant. Geometric transformation (scaling and rotation) is possible in this method. For images that have been rotated and smoothed, this work demonstrates a method for detecting the forged region. The running time of the proposed method is less than that of the previous method
Investigation of Progressive Web Applications and Understanding Its Working Mechanism, Advantages and Disadvantages
Get PDFProgressive web applications are similar to the mobile applications and are more reliable and secure than the normal applications. The PWA are developed in such a way that nobody can tell the difference between mobile apps and the progressive web applications. The progressive web apps are developed using normal web techniques like HTML, Java Script, CSs etc. It is a software application which will resemble like a desktop or mobile app but it will operate on web-based technology. The main advantage of this type of web bases application is that they are faster and provides good user experience due to their simple user interface. This type of applications can directly be published online on the web page and does not require separate platform. The paper will explain the need and importance of the progressive web applications and shall also discuss the benefits and challenges of these kind of applications
Numerical Simulation and Design Analysis Survey of a Solar-Powered Electric Vehicle
Get PDFThe introduction of the Tesla in 2008 demonstrated the possibility of public electric vehicles to reduce fuel consumption and greenhouse gas emissions in the transportation industry. It catapulted electric vehicles into the spotlight around the world when, due to growing demand and fossil fuel prices, they reached unanticipatedly high levels at a time when emerging countries required significant economic growth. Electric automobiles' energy storage capacity, as well as the grid's expected erratic discharge and loading, provide significant operational and maintenance issues. For large numbers of vehicles to be integrated with the smart grid and electric vehicles, optimal preparation approaches are critical. Greenhouse gas emissions are one of the most serious environmental issues, and their rates are increasing rapidly as the world becomes more industrialised. Solar energy for transportation can help to solve this problem. The goal of the proposed effort is to include a green energy-supporting technology; imagine a situation in which we can utilise photovoltaic energy to charge vehicles that are integrated into the vehicle. The research highlights the functional aspects of electric vehicles and provides an illustrated literature analysis on recent breakthroughs in the field. The main components of an electric car with a solar photovoltaic system are also explained in the research report. The study is beneficial in gaining a better grasp of the properties and issues in the realm of electric vehicles
Numerical Simulation and Design Assessment of Limited Feedback Channel Estimation in Massive MIMO Communication System
Get PDFThe Internet of Things (IoT) has attracted a great deal of interest in various fields including governments, business, academia as an evolving technology that aims to make anything connected, communicate, and exchange of data. The massive connectivity, stringent energy restrictions, and ultra-reliable transmission requirements are also defined as the most distinctive features of IoT. This feature is a natural IoT supporting technology, as massive multiple input (MIMO) inputs will result in enormous spectral/energy efficiency gains and boost IoT transmission reliability dramatically through a coherent processing of the large-scale antenna array signals. However, the processing is coherent and relies on accurate estimation of channel state information (CSI) between BS and users. Massive multiple input (MIMO) is a powerous support technology that fulfils the Internet of Things' (IoT) energy/spectral performance and reliability needs. However, the benefit of MIMOs is dependent on the availability of CSIs. This research proposes an adaptive sparse channel calculation with limited feedback to estimate accurate and prompt CSIs for large multi-intimate-output systems based on Duplex Frequency Division (DFD) systems. The minimal retro-feedback scheme must retrofit the burden of the base station antennas in a linear proportion. This work offers a narrow feedback algorithm to elevate the burden by means of a MIMO double-way representation (DD) channel using uniform dictionaries linked to the arrival angle and start angle (AoA) (AoD). Although the number of transmission antennas in the BS is high, the algorithms offer an acceptable channel estimation accuracy using a limited number of feedback bits, making it suitable for 5G massively MIMO. The results of the simulation indicate the output limit can be achieved with the proposed algorithm
Understanding the Concept of Data Encryption in Network Security: Review of Types, Algorithms and Methodologies
Get PDFData encryption is the process of security method which is also used to provide security in network. There are many security methods available. Data encryption is the latest and most commonly used security method in order to protect the data and sensitive information of the user. It depends upon the technical team to choose the best network security method so that they are able to protect the data and information of the organisation. The technical team need to understand the business goals and objectives and based upon the type of data and information of the organisation, should select the best and efficient network security methods which is also one of the major challenges of the team. The objective of data encryption is to encrypt the data in such a way that it is not easily understood by the anyone else other than the person who is authorised to have access and also have the key to access it. It is one of the best methods of data encryption. The paper will discuss the importance of data encryption, the methodologies available and also its benefits as well as challenges
Sentiment Analysis on Social media network
Get PDFDetecting changes in a data stream is very important area of research with several applications. In this project, we use a method for the detection and estimation of change. This strategy mainly dealing with distribution change when learning from data sequences which may vary with time. We use sliding window whose size, rather than being fixed a priori, is recomputed according to the rate of change determined from the data in the window itself. This delivers the user to guess a time-scale for change within the data stream. In this project we tend to use jio tweets in twitter as data stream. Reliance Jio network offers cost free services; the 100% satisfaction of its customer could be a doubtful one. Though the customers are availing Jio services, they spend some amount for using other networks. If Reliance Jio fails to give the full satisfaction to its customer, it is tough to sustain its image in the systematic nation. Hence the study is undertaken for the aim of analyzing the satisfaction level of the customer of Jio network. From Twitter, we gather tweets using Twitter API based on keywords #jio. This project can verify the sentiment orientation of the tweets and also detect the changes in tweeted words in terms of frequencies by applying ADWIN sliding window algorithm. Further we can visualize these results by plotting graphs and can understand how many people are positive and negative towards jio