Volume 6 | Issue 1

 Abstract

The power quality (PQ) of PI-based Grid-Connected Solar Energy Conversation Systems (SECS) when nonlinear loads are coupled to a distribution network is discussed in this paper. When non-linear loads, such as three-phase bridge rectifiers, are connected to a network, harmonics are generated in the network as a result of the switching action. This PQ problems are severe impact on dynamic performance of the SECS, this are solved by employing PI controller based voltage source converters. Satisfactory results are produced using verified simulation results in MATLAB.

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 Keywords

SECS, PQ, PI controllers

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One of the intriguing subcategories in the field of image processing is segmentation. As there are so many academics working on image processing segmentation, they are now focusing on Magnetic Resonance Imaging (MRI) segmentations, which is a difficult problem that still requires improvement against noisy data. A popular method for segmenting medical pictures is Fuzzy C Means (FCM), although it only considers the image's intensity and, as a result, yields insufficient results for images with a lot of noise. It is standard practice to design and combine many classifiers using the same fundamental classification learning model using classifiers like bagging and boosting. Boosting models on noiseless data are more robust than bagging. Improving weak learning models significantly reduces errors which only create classifications that are a little better than arbitrary guessing. Results demonstrate the increase in the classification of ac Fuzzy Bee Segmentation method.

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 Keywords

Image Segmentation, MRI, FCM, Classifier, Boosting

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When a project calls for the local soil to be improved, adding lime is an appealing option. The purpose of the current study is to develop fundamental guidelines for the use of lime and rock dust in stabilizing soft soils. Lime and combinations of lime and rock dust were used to stabilize the soils (RD). According to the test results, the sub-base layer may be designed with an admixture with an optimal admixture concentration of around 6% lime combined with 25% Rock dust by mass of the soil.

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Marine clay, Lime, Rock dust, Atterberg limits, Compaction, CBR.

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 Abstract

This study suggests that a wind turbine is connected to the grid. It has a solo mode of operation. We may connect the BESS and FC-electrolyze to handle the load required to run the suggested approach in standalone mode. The generator-side converter and the ESS work together to meet the needs of the heaps in this technique where variable speed PMSG serves as the primary power source and BESS and FC-electrolyze serves as a backup. This control strategy may limit the DC-interface voltage of the full-scale power converter to a narrow range while enabling a variety of heap sizes or wind speeds. Using the replica MATLAB/SIMLINK, a reenactment model of a variable speed wind turbine is built in a separate framework. The dynamic exhibition of the independent breeze turbine framework and the proposed control system is evaluated and stressed with the recreation results.

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 Keywords

ESS, stand-alone system, wind-turbine

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 Abstract

Decentralized wireless networks come in the form of mobile ad hoc networks (MANET). Because it does not rely on pre-existing infrastructure like routers in wired networks or access points in managed (infrastructure) wireless networks, the network is referred to as ad hoc. Instead, each node takes part in routing by sending information to other nodes, therefore the choice of which nodes provide information is decided dynamically based on the connectedness of the network and the routing algorithm being used. Mobile Ad Hoc Networks (MANET) are made up of a number of wireless nodes and function as a dynamic data exchange. Because of node failures, network segmentation, disconnections, and movement, the network topology changes often. Moreover the mobile nodes which are basically resource constrained, exhibit various kinds of faulty behaviors that may be transient or permanent due to the hardware or software problems. In such a situation, the faulty node may not forward packets and the situation becomes worse. Hence fault tolerance is an important design issue to construct a reliable mobile ad hoc network. Due to the presence of faulty nodes, the performance of routing degrades and the reason for the faulty nodes has to be identified to address routing by exploring network redundancies.

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 Keywords

ACO, Fault tolerance, Link failure, Multipath routing, Node failure, QoS.

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Efficiency in energy use plays a critical role in the development of the smart grid in the power system. Hence, a key priority of the intelligent grid is optimal power consumption monitoring and management. One of the main issues with the existing power metre gadget is that there is no full duplex communication. A sophisticated power metre that is entirely based on the Internet of Things is suggested as a solution to this issue (IoT). The suggested smart electricity metre calculates and manages power usage using ESP 8266 12E, a Wi-Fi module, and uploads the results to the cloud where the customer or producer may examine the results. As a result, customer-level energy analysis becomes more easier and more manageable. This gadget additionally helps in detecting electricity theft. Thus, this clever meter helps in domestic automation the usage of IoT and enabling wi-fi conversation which is a terrific step closer to Digital India.

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 Keywords

Smart Grid, Energy Meter, Internet of Things.

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Because to its high fluidity and settling, low self-weight, and low thermal conductivity, foamed concrete is now often utilized in civil construction and building. It does, however, have some significant drawbacks, such as poor strength and increasing shrinking with age. The curing conditions are one of the many factors that affect the strength growth of concrete. By experimenting with different curing techniques, this effort intends to investigate the possible creation of foamed concrete as a sustainable structural material. To do this, sample cubes, cylinders, and prisms were created in order to determine the compressive strength, elastic modulus, and drying shrinkage at various ages. Four different curing regimes were used to cure polyurethane foamed concrete sample pieces (water, moisture, sealing by membrane-forming curing compound and air curing). At the end of the study, poly- urethane foamed concrete used for this study has shown the potential for use in structural applications. Also, the results show that the samples cured by moisture have the highest compressive strength at all ages

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Polyurethane foamed concrete Curing conditions, Fly ash, and Compressive strength, Static modulus of elasticity drying shrinkage

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 Abstract

Network analysts find it difficult to manually monitor traffic flows and spot breaches in large networks due to the astronomical volume of internet traffic and rising network complexity. Information security is significantly enhanced by intrusion detection systems (IDS). Recently, it has become more common to use Machine Learning (ML) approaches for intrusion-based detection. The network traffic generates a lot of data with irrelevant information, slowing down the detection process and deteriorating system performance. Elimination or selection is carried out prior to categorization to get around that flaw. This research presents a hybrid machine learning-based intrusion detection system that employs recursive feature removal. In order to adequately and effectively analyze network traffic for intrusions, Support Vector Machine (SVM) and Decision Tree (DT) machine learning models are combined into hybrid machine learning model. Furthermore, a multi-class classifier was built to classify not only malicious or benign traffic but also to extend labels upon the malicious data. In order to improve the performance, this system identifies the features which are irrelevant and eliminated it. The feature selection is achieved by using Recursive Feature elimination method. Experiments show improved performance in network intrusion detection.

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: Intrusion detection system (IDS), Machine Learning (ML), SVM, DT, Recursive Feature elimination.

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Azadirachtaindica,curcuma longa ,Zingiberofficinale, Atherogenic index, Poly herbal formulation, hyperlipidemia

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This study primarily focuses on technique development and validation for the analysis of favipiravir in pharmaceutical dosage forms and pure forms using UV spectroscopy. This procedure calls for the creation of working and standard solutions of the drug favipiravir, followed by the fabrication and analysis of working solution aliquots at various concentrations. Then, the linearity, precision, accuracy, robustness, ruggedness, limit of quantification, and limit of detection of this developed technique were all validated. The information received shows that the procedure was sensitive and accurate within the range of 4-24 g/ml. The correlation coefficient (R2) was found to be 0.999. There is no interference observed with excipients in formulation. The project method may be duly applied for the analysis of Favipiravir in bulk for routine analysis.

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Ultraviolet Spectroscopy, validation, Favipiravir, method development, assay.

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For the average person, the availability and cost of electricity are major concerns. Convectional energy is also a major environmental problem. People are paying more attention to alternative energy sources than to conventional energy consumption. The most useful device nowadays is the water pump, which is employed in industrial settings second only to electric motors in terms of usage. The mechanical hydraulic ram pump utilizes the kinetic energy of moving water to power itself. Rural communities and farmers are quite fortunate to have this kind of pump. The design, production, and analysis of a water-lifting mechanism without the use of fuel or power are the subjects of this study. Analysis of flow rate and delivery head has been done by adjusting various parameters

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Ram pump, Water lifting, Flow rate

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Phishing attacks are a type of cybercrime that are made successful by malware and social engineering. It is a serious danger that must be accepted by everyone and everything. Uniform Resource Locators (URLs), sometimes referred to as web links, are the mechanism by which people search the internet for particular pages. The analysis educates readers about phishing, shows them how to spot phishing attempts, and inspires them to take preventative measures. Phishers trick their victims by sending emails or messages that contain links to dangerous websites (known as "phishing" or "spear phishing"). Businesses and individuals are unable to identify all of the phishing emails and messages that are sent to them because of the sheer number that they receive daily. We explore numerous machine learning techniques for phishing attack detection in this section. It is used here to determine whether a particular group of links is a phishing effort or not. Phishing is a common strategy used by cybercriminals to deceive victims into providing personal information. Phishing web addresses are intended to steal sensitive information such as login passwords and financial data from unwary users. Phishing websites can sometimes closely mimic authentic ones, both visually and philosophically. Anti-phishing technologies are required because phishing attempts are becoming more sophisticated as technology advances. Machine learning has emerged as a powerful tool in the fight against phishing. This study gives an in-depth look at machine learning detection techniques and the features they employ.

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 Keywords

URL, PHSHING SITES, Random Forest, XGBOOST

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 Abstract

Diabetes-related macular edoema (DME) is a retinal condition that can cause vision loss if early preventative measures are not implemented. Early diagnosis of diabetic retinopathy may lead to DME, which further aids in preventing blindness. Currently, professionals are using a manual technique to try to find the DME in the OCT picture. Detecting the DME is a more difficult and time-consuming task. The suggested approach is focused on identifying DME-affected photos and images that are not impacted by DME. This study introduces Multi-dimensional Amalgamate Classification Using Optical Coherence Tomography (OCT) to address the challenges in DME detection. The Gradient Multilevel DAM (GM-DAM) is used to recognize and classify DME pictures more accurately, which enhances performance. Experimental results show the performance of proposed system

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 Keywords

OCT, AMD, DMA, GM-DAM

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 Abstract

Diabetes-related macular edoema (DME) is a retinal condition that can cause vision loss if early preventative measures are not implemented. Early diagnosis of diabetic retinopathy may lead to DME, which further aids in preventing blindness. Currently, professionals are using a manual technique to try to find the DME in the OCT picture. Detecting the DME is a more difficult and time-consuming task. The suggested approach is focused on identifying DME-affected photos and images that are not impacted by DME. This study introduces Multi-dimensional Amalgamate Classification Using Optical Coherence Tomography (OCT) to address the challenges in DME detection. The Gradient Multilevel DAM (GM-DAM) is used to recognize and classify DME pictures more accurately, which enhances performance. Experimental results show the performance of proposed system

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OCT, AMD, DMA, GM-DAM

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Guardian, Safe driving, Voice message, Notifications, Emergency calls, Application, Mobile app SDK, Block based programming language, Vehicle Safety[15],etc

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Signature Based Detection, Malware

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Self-compacting concrete (SCC) is able to be shaped so that it can navigate obstacles with just its own weight and no need for vibration. Better uniformity is provided by SCC, particularly for those with increased blockage, decreased porousness, and increased cement flexibility. The main objective of this investigation is to determine if using SCC is feasible by analyzing its unique characteristics and strengths, such as water retention, shrinkage, and sulphate tolerance. In order to fulfill the requirements of the plastic state, this exploratory activity entails: (I) develop a successful mix for SCC; and (ii) projecting solid specimens and testing them for compressive force, shrinkage, water retention, and sulphate resilience. Local service providers supply neighborhood totals, concrete, mixes, and additional materials given by nearby providers have been utilized in this work. The significance of this work lies in its push to incorporate some SCC yield information to cause to notice the likely utilization of SCC.

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SSC, Dynamic strength, Equivalent lateral force, Response spectrum

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Since life cannot exist without water, river water is used for a variety of purposes, including irrigation and home consumption. In India, there are several factors contributing to river water pollution, including sewage discharge, human activity, illegal mining, urbanisation, and industrial waste. As a result, it's important to monitor the river's water quality via analysis. In the current study, water samples from the Son river in Shahdol area (MP) were taken from two distinct places and evaluated for BOD and COD before and after the monsoon. These parameters, BOD and COD, have been found to have greater values throughout the summer, and lower values during the wet season. The examination of these crucial parameters demonstrates high pollution load on the river water. So to maintain the quality of river water some preventive measures, monitoring of water quality and proper management is needed.

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BOD, COD, Son River, Quality of water.

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 Abstract

In 1805, when anxieties about Napoleon's conquest of Western Europe are only starting to surface in Russia, the first chapter of War and Peace is set in the Russian capital of St. Petersburg. A large portion of the novel's cast is presented during a society hostess' party, including Pierre Bezukhov, the affable but awkward illegitimate son of a wealthy count, and Andrew Bolkonski, the bright and inspirational son of a retired general. Additionally, readers get to meet the cunning and vapid Kuragin family, which also includes the cunning father Vasili, the fortune-seeking son Anatole, and the gorgeous daughter Helene. Readers are introduced to the distinguished Rostov family of Moscow, which includes the vivacious daughter Natasha, the reserved cousin Sonya, and the impulsive son Nicholas who has recently enlisted in the army under the command of the senior General Kutuzov.

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Fruitless to productive: Pierre's development in Leo Tolstoy's War and Peace

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Two energy sale phases are necessary when a low-voltage unregulated energy tissue (FC) result is taught to create A/C energy. In this study, the boost-inverter geography, which performs both enhancing and contradicting roles in a single stage, is employed as the foundation for developing a single-phase grid-connected FC-system with enhanced sale effectiveness, cost, and density. To accommodate the FC's slow-moving mechanics, the suggested body includes extra battery-based electrical storage capacity as well as a DC-DC bi-directional converter. The single-phase boost-inverter is built in voltage mode, whereas the DC-DC bidirectional converter is built in current mode. The low-frequency current surge is provided by the electric battery, which lessens the effects of such surge being attracted directly from the FC on its own. Additionally, this device can easily run either in a grid-connected or even method. In the grid-connected setting, the boost-inverter has the capacity to manage the energetic (P) and also sensitive (Q) electrical power making use of a protocol accordance to a Second Order Generalized Integrator (SOGI) which gives a swift sign conditioning for solitary stage devices. Evaluation, likeness as well as speculative arise from a lab model appear to affirm the credibility from the recommended unit.

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 Keywords

PV, buck boost type dc-dc converters (BSG), BESS

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