International Journal on Future Revolution in Computer Science & Communication Engineering
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    1384 research outputs found

    Comprehensive Analysis and Review of Particle Swarm Optimization Techniques and Inventory System

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    The main aim of this study work is to discuss the applications of Particle Swarm Optimization (PSO) Techniques and inventory system in engineering and science. Holding and dealing with of a stock item is one of the crucial work for minimum cost and the control running of any commercial enterprise corporation to be it a five-star hotel, a publication house, a production enterprise or a hospital. PSO has numerous application in the area of commercial enterprise and industries. Inventories constitute a huge part of the entire belongings of a corporation, and enormous attempt is needed to manipulate the inventories. In the provision of very restrained assets in nations like India, Sri Lanka, Nepal, Bhutan, Bangladesh, Pakistan, etc., then an obligation of usage of assets with the most efficient way need to be prioritized. Therefore, the control of the substances and stock manipulate play an essential position with the control of productivity. It is hoped that this discussion would be important for researchers using PSO with inventory control

    Numerical Simulation and Performance Analysis of Grid Connected Solar PV System in Indian Scenario

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    Renewable energy sources, as the name implies, are sources that can be renewed over time and are therefore inexhaustible resources since they are available in an infinite quantity. Water, biomass, solar, geothermal, and wind are among the most widely used renewable energy sources. Renewable energy sources are in high demand due to the continuing depletion of fossil fuel and oil reserves. Furthermore, these nonrenewable resources threaten the environment by increasing carbon dioxide levels in the atmosphere. Solar energy has been described as the best green energy resource with the greatest potential of all known renewable energy sources, and hence it can serve as the best substitute for conventional resources. Solar energy has gained a lot of attention in the last decade all over the world. As the most well-known field, it is the subject of numerous studies in order to extract the maximum amount of energy. The demand for solar energy is rising at an exponential pace because of its various benefits, including the absence of fuel costs, pollution-free activity, and low maintenance.The purpose of this research is to perform the numerical model of the 1MWp and 100 kWp   solar power plant for different manufacturing technology as well as locations. The research has been done using PV-Syst programming tool and it was utilized to create model of the plant and the research of losses and the demonstration of the proposed power station. Diverse assembling strategies and distinctive guidance plans have been used for the techno economic analysis of system

    Numerical Simulation of Impoved Soft Computing Based Optimization Based Capacitor Placement in distributed generation system

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    Important exploration has been performed on the arrangement of ideal capacitor arrangement in the appropriation structures for power factor adjustment assignments, enhancement of voltage profile and loss reduction assignments. In particular, a mechanical plant with variable load conditions has enormous inductive loads and an extremely low power factor. In most situations, keeping a strategic distance from retribution in the power bill is the primary reason behind why a consumer introduces a capacitor bank. Power factor is a proportion of the actual power to the apparent power, which speaks of how much electrical gear uses genuine power. Inductive or capacitive reactance and harmonics in the circuit[2] are induced by a power factor of some importance other than solidarity. In the urban areas, the expansion in power demand and high load thickness renders the operation of power frameworks muddled. The framework must be e xpanded by extending the substation cap and the quantity of feeders in order to fulfil the load requirement. Notwithstanding, due to various specifications, this might not be easily done for certain services. The framework will ensure longer life expectancy and have more influential reliability by limiting power misfortunes. Different techniques have been used to minimise power misfortunes financially through the capacitor bank's ideal choice of scale, area and cost. The problem of capacitor allocation in e lectrical distribution systems involves decreases in energy expansion and pinnacle power misfortune by methods for capacitor facilities. This paper introduces a novel method that uses inexact thinking to determine the framework of competitor hubs in a capacitor arrangement conveyance framework. There are two parts of the arrangement technique: to some degree, the misfortune affecttability factors are used to pick the up-and-comer areas for the capacitor situation, and to a small extent, the genetic algorithm technique is used to identify the capacitor's measures to reduce energy losses and increase the voltage profile by placement of capacitors. The device implemented worked successfully for the objective purpose of loss reduction and voltage profile enhancement for the test case

    Analysis of IoT Growth and Applications in Real World

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    The Internet of things (IOT) is the inter-networking of physical devices, vehicles (also referred to as "connected devices" and "smart devices"), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IOT Mainly uses the connectivity of devices system and services that beyond the machine to machine communication. Internet of thing defined the IOT as the infrastructure of the information society. The main objective of this paper is to provide an overview of Internet of Things, growth, and their usages in our daily life

    Design and Simulation of Multi Objective Power Flow Optimization in IEEE-30 Bus System using Modified Particle Swarm Optimization

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    Execution and Reliability of OPF algorithms is an important issue of research for gainful power structure control and orchestrating. Perfect Power Flow is driven for restricting the objective work. This objective limit can be single regarded target work or different objective limits. In the present research, we have executed perfect power stream in order to constrain the fuel cost while satisfying the constraints, for instance, the voltages, power yields of the generator kept inside embraced purpose of repression. Some other objective can be used reliant on utility's preferred position and needs. Many streamlined framework models have been combined in the past by various researchers for OPF issue, for instance, Linear Programming, Non Linear Programming, Quadratic Programming, Newton Based Techniques, Parametric Methods, and Interior Point Methods, etc. A wide variety of bleeding edge optimization methodologies like Evolutionary Programming, Genetic Algorithm, PSO Algorithm, etc are proposed recorded as a hard copy for handling OPF issue. In this proposition, we have executed improved particle swarm optimization algorithm to restrain cost limit while keeping goals inside acceptable most extreme. The adjustments in particle swarm optimization is finished by introducing the idea of quantum computing and optimization of quickening coefficients. The proposed algorithm is associated with IEEE-30 bus structure. Resuts indicated unrivaled execution of proposed algorithm as contrasted and contemporary techniques

    Medical Image Management by NoSQL Database

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    Over the past three decades, medical imaging technology has revolutionized the healthcare sector. It enables medical professionals to detect disease early and improve patient outcomes. Large amounts of semi-structured and unstructured picture data that lack a set schema are produced as health records. Better data models for storage and retrieval are required. Big Data may be stored and retrieved much more easily with NoSQL (Not merely SQL) databases. Hence, the suggestion is to store medical health records in a NoSQL database. This essay aims to contrast several NoSQL databases from the perspective of image technology

    Design Simulation and Numerical Assessment of Incremental Computing Based MPPT System for Different Power Converters

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    This paper means to investigation of progress in productivity, yield voltage of INR MPPT Technique while associated with various converters, for example, Cuk and Sepic. These converters have favorable circumstances and disservices that will be pointed in this paper. Reenactments results are examined and thought about, a while later ends are drawn. Works are completed in Matlab software package

    Analysis of Different Software Security Testing Techniques, Benefits, Challenges and Life Cycle

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    Security testing is the software testing technique which makes sure that the system or application software which is developed is free from security threats and cannot be hacked by the hacker. Once an application or software us developed, once the final product is tested for all its functions, components etc it is also important to test for its privacy and security. If the system is not secure enough, then it can easily be attacked and hacked and all the sensitive data and information will be exploited by the hacker and use them in their favour. There are variety of security testing which will be discussed in this paper. The security testing has few requirements like testing the integrity, confidentiality, authorisation, availability etc. The security elements of the system depend upon the security features being implemented in the system so the testing process will also be different for each system. The various techniques and approaches can be explained by Security taxonomy. The paper will discuss elements of security testing, methodologies, pros and cons of security testing, etc

    A Study on Golang and Understanding Why It is Better than Java: Discussing Scope, Application use and Limitations

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    Go is also known as Golang which is a open source programming language. It is compiled and has static nature which is discovered by google. It is one of the simplest languages which can be read easily and has higher efficiency rate and high performance as compared to other languages available in the market. The syntax of Golang is similar to C language but Golang comes with added features like memory safety, garbage collection, provides structural typing etc. Golan was discovered because of the increase in complexity of the code in google. The inventors of this language were Rob Pike, Kem Thompson, Robert Griesemer. The contribution of Golang is in the major domains like cloud computing, game development companies, backend programming, Data science etc. It was basically designed for using it in cloud computing. Many big organisations like Google, Netflix, Docker, Heroku etc are using Golang to improve overall business growth. In this paper the scope and purpose of Golang will be discussed. It will explain the benefits of using Golang over java and also its advantages and challenges along with its application uses

    Design Simulation and Performance Analysis of Soft Computing Based Islanding Detection System

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    In recent years, worldwide energy demand has been exaggerated. In addition the lack of adequate transmission capacity, exaggerated transmission and distribution misfortunes and the release of power advertising have been turned into an inspirational power driving the concept, Distributed Generators (DGs). Dispersed age unit (DG) slash hack expansion and mainly regional units linked to distribution to power the system yet to be hundreds of locals[1]. Distributed generation (DG) provides numerous endowments; energy loss decrease throughout force transmission and reduction in the size and scope of electrical cables. Use of the DGs with the present force distribution arrangements may improve the intensity standard by reducing power quality and other issues. The electricity standard is a partner degree that increases concerns for electrical services and their customers during the recent deca. Quality of helpless force is recognised for the variety of aggravations such as diminution of voltage, swelling, imprudent and intermittent homelessness, numerous results, short interference, sounds and voltage shimmers, etc. Methods for locating the system include either moving the boundaries of the system to accept changes in voltage, recurrence that significantly spread throughout the grid removal, or detecting system boundary changes within the islanded DGs through the presentation of small aggravations within the grid activities (dynamic procedures). Current study involves the detection of soft computing classification based on fumbling logic design. In addition, a detection system is presented based on the method of recognition of neural network patterns. The proposed algorithm is superior to contemporary active and passive islanding conditions The proposed algorithm is also created with the help of the proposed algorithm

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    International Journal on Future Revolution in Computer Science & Communication Engineering
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