Volume 5 | Issue 4

 Abstract

To monitor physical or environmental factors like temperature, noise, pressure, etc., wireless sensor networks of widely dispersed autonomous sensors are used. The sensors cooperatively communicate their data across the network to a central point. The CASER protocol is used to extend the network's life. The two competing concerns in WSN are energy consumption and security. Several factors are utilized to solve this issue. Particle swarm optimization (PSO) and lifetime optimization TORA are used to regulate the energy balance (Temporally ordered Routing Algorithm). For protection the proposed approach uses probabilistic random walking to achieve high message delivery rates while shielding routing against damaging assaults

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To monitor physical or environmental factors like temperature, noise, pressure, etc., wireless sensor networks of widely dispersed autonomous sensors are used. The sensors cooperatively communicate their data across the network to a central point. The CASER protocol is used to extend the network's life. The two competing concerns in WSN are energy consumption and security. Several factors are utilized to solve this issue. Particle swarm optimization (PSO) and lifetime optimization TORA are

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Renewable energy sources (RESs) have become viable alternatives to traditional energy sources due to the diminishing nature of fossil fuels and environmental challenges. Due to its low cost of production and zero carbon emissions, wind energy is one of the dispersed energy alternatives with the fastest increasing market. Although wind energy is abundant, it is intermittent, meaning that the wind speed varies from moment to moment. As a result, the goal is to maximize the output power from this changeable wind while it is there. To this end, a number of algorithms for maximum power operating point tracking (MPPT) have been suggested and effectively implemented. Nevertheless, as each algorithm has advantages and disadvantages, selecting the precise MPPT method for a given application needs a high level of competence. This paper presents a review of various MPPT algorithms suggested in the literature

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THE MPPT ALGORITHMS USED IN WIND ENERGY CONVERSION SYSTEMS: AN ANALYTICAL REVIEW

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The complete automation of the power transmission and distribution system as well as the automatic control of commercial and residential loads are both results of technological advancements in power electronic components and circuits, which in turn results in an increase in nonlinear load currents drawn from the supply system. These nonlinear currents can lead to additional heating losses, low power factor, low efficiency, greater temperature, etc. To lower the overall harmonic distortion in the transmission system close to load locations, a novel D-FACTS device is suggested. Also, a comparison with the current FACTS device and UPFC will be done.

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Non linear loads, total harmonic distortion, UPFC, DPFC

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A successful implementation of an electronic health record can enhance patient safety and the standard of care, but interoperability across hospitals' HIE systems is a need. The spread of this document format is essential for interoperability, and the Clinical Document Architecture (CDA) created by HL7 is a fundamental document standard to assure such compatibility. Sadly, hospitals are hesitant to embrace interoperable HIS because of its adoption costs, with the exception of a small number of nations. As all hospitals switch to the CDA document format, further issues appear since it is challenging to handle the data spread throughout so many papers. In this article, we discuss our cloud-based Open API service for CDA document production and integration, which enables hospitals to quickly produce CDA documents without having to buy software. Our CDA document integration system integrates multiple CDA documents per patient into a single CDA and physicians and patients can browse the clinical data in chronological order. Our system of CDA document generation and integration is based on cloud computing and the service is offered through Open API. Developers using different platforms thus can use our system to enhance interoperability.

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ANALYSIS ON HEALTH INFORMATION EXCHANGE CDA GENERATION AND INTEGRATION BASED ON CLOUD COMPUTING SYSTEM

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In the world, concrete is the material that is most frequently used for construction. Portland cement consumption increases as a result of the increased demand for concrete as a building material. An environmentally friendly alternative to regular Portland cement is geo-polymer. By combining ingredients like fly ash, grounded granulated blast furnace slag (GGBS), fine aggregate, and coarse aggregate with sodium hydroxide solution, sodium silicate solution (NaOH and Na2SiO3), or potassium hydroxide, potassium silicate solution (KOH and K2SiO3), it is possible to create geo-polymer concrete that is then properly cured. Alkaline liquid is a mixture of sodium hydroxide solution and sodium silicate solution. This study's research focuses on substituting the fine aggregate material in geo-polymer concrete with Msand. Complete 100% replacement of natural sand with manufactured sand and compare the results witch GPC natural sand and GPC witch Msand and its durability. When exposed to sulphate, and acidic environment and assessment were made with normal Ordinary Portland Cement (OPC) concrete. In total four tests were conducted to determine acid and sulphate resistance of geo- polymer concrete witch Msand. The tests involved concentration for a period of 30 to 60 days into 5% solution of sodium sulphate, 5% solution of magnesium sulphate, 5% solution of sulphuric acid and 5% solution of phosphoric acid. The progression of weight loss and compressive strength loss were studied. The most major degradation of compressive strength and weight were determined in 5% of acid solution. The minimum strength dissimilarity and weight loss were found in the 5% of sulphate solution. The Ordinary PC concrete deteriorated more in acid as well as in sulphate solution in compared with geo-polymer concrete, thus geo-polymer concrete is more durable than the OPC concrete.

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Binding material, GPC, Manufactured sand, degradation, deteriorated

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The causes of flexible pavement failure have been studied by a number of researchers over the years, and they have provided a range of solutions for issues like rutting, fatigue, and low temperature cracking, which are caused by the susceptibility to moisture as well as the temperature sensitivity of either asphalt, aggregate, or the asphalt mixture as a whole. In order to address potential failure issues in flexible pavements, this study is being conducted to determine the ideal amount and potential applicability of zycotherm nanomaterial in asphalt and asphalt concrete mixtures with two different systems: directly applying to bitumen and dilution and applying to aggregate. The study is carried out experimentally by conducting tests on bitumen and bituminous mixtures. Seepage through soil sub bases in most commonly facing problem in sub base of pavements in order to avoid this problem researchers found a revolutionary technologies in the form of waterproofing chemicals for soil. Due to reduction in the water seepage, the soil bases can be compacted better and they act as structural layers to offer better strength and durability for the pavements. Zycotherms are the nano materials when sprayed, it offers waterproofing basement for different soils. Zycotherms changes the surface of an aggregate from hydrophilic (water- loving) to hydrophobic (oil-loving) its particles capture and isolate the asphalts in bitumen and drag them to the surface of the aggregate.

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DETERMINATION OF OPTIMUM POTENTIAL APPLICABILITY FOR PREVENTION OF MOISTURE DAMAGE IN PAVEMENT BY USING ZYCOTHERMS

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By harnessing the heat of water evaporation, a process that uses very little water and energy and only produces tiny amounts of water and energy, a cooling system that sprays tiny water droplets may be effective in reducing temperature rises in metropolitan areas. On hot days, spraying water mist in a semi-outdoor setting, such one covered by a canopy, could help the environment. Nevertheless, there is not much information available for the design or management of such systems. We address variations in cooling effects in the context of water mist particle size distribution in order to suggest a way for planning and forecasting the performance of a water mist system. The findings of the numerical fluid analysis revealed that the temperature decrease for different particle sizes is not significantly different. However, the water particles remained in a lower position with larger particles.

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Mitigation technologies; natural sinks; passive cooling; heat dissipation

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Although each of these poses a challenge that can be employed to enable data protection, cryptography and steganography may be able to. The issue with cryptography is that the text of the cypher looks useless, allowing an intrusive party to obstruct the transfer or get more information. The recipient carefully examines the material that was sent by the sender. The problem with steganography is that it becomes obvious if secret data is utilized and is even accused of being the message. According to the research discussed in this article, combining computer encryption and cryptography has been advised for data security. steganography methods to strengthen the protection of the "about" information The Standard for Sophisticated Encryption comes first (AES) The formula was changed, and used to encrypt the password. Hello, post. Secondly, the encrypted message was concealed with the aid of Method under [1]. Therefore, there have been two defense degrees using the proposed hybrid technique, given. Furthermore, the The approach suggested has high embedding capacity and high embedding capacity.

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AN ANALYTICAL STUDY ON DATA PROTECTING BY USING CRYPTOGRAPHY AND STEGANOGRAPHY TECHNIQUES

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The study examined consumer purchase habits in order to gauge how satisfied customers were with Amazon's offerings. Consumer loyalty is typically seen as the driving force behind the connection between an individual's attitude and recurring business. Every product is available for purchase online, including books, home goods, toys, hardware, and software. Also, because the internet has many benefits, it has gained popularity among adults and younger shoppers in only a few short years. One of the business terms that is currently overused is "customer loyalty." Descriptive research design has been used to achieve these goals. The information was gathered from 100 respondents in the South Chennai area of the city. Customers can visit a website and merely shop just sitting in form of computer. Ability of the internet contains wide range of collecting information, supplying a service or purchasing a product Amazon should work towards them so that it can increase its customers and finally profit.

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AN ANALYTICAL STUDY OF MARKETING CAMPAIGNS AND CUSTOMER SATISFACTION ON AMAZON PRODUCTS IN MARKET

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A plant's main component is water. In this way, changes in plant water content have a significant impact on how plants grow. Visual item identification is a straightforward skill for a human. Computer-based picture identification is still difficult, though. Recent developments in machine learning have led to the development of strong recognition and classification methods that can handle challenging settings. This research proposes a machine learning-based smart agricultural architecture based on plant detection and categorization. In order to improve plant development in a local water situation, this research seeks to organize and design an intelligent framework in light of Support Vector Machine (SVM) and machine vision. The strategy employs a powerful deep learning-based architecture for item identification in the context of Smart Agriculture. This architecture describes an approach for image recognition with a specific focus on the automated recognition of plants and flowers. It aims to automatically detect damages in leaves and fruits, locate them, classify their severity levels, and visualize them by contouring their exact locations. The mobile iOS (iPhone Operating System) application was described that was designed, and results can indicate a higher accuracy when the SVM was utilized as the classifier with high precision for plant conditions (Fresh and Wilted).

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Plant recognition and classification, machine learning, Support Vector Machine (SVM).

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ROBOTIC wheelchairs are made to increase the mobility of the elderly or crippled, hence enhancing their quality of life. In order to do this, autonomous navigation has undergone extensive research and evolved into a crucial feature for robotic wheelchairs. Identifying regions and anomalies in photos pixel-by-pixel is referred to as segmenting drivable areas and road abnormalities. It plays a key role in autonomous navigation. Robotic wheelchairs might bump or possibly roll over while travelling over road anomalies without properly separating drivable sections and road oddities, which could harm human riders. In this research, we propose a self-supervised learning strategy to describe the solution to this problem for the purpose of segmenting drivable areas and road anomalies. The proposed method can automatically generate segmentation labels for drivable areas and road anomalies. Then, we train RGB-D data based semantic segmentation neural networks and get predicted labels. We firstly develop a pipeline named Self- Supervised Label Generator (SSLG) to automatically label drivable areas and road anomalies. Then, we use the segmentation labels generated by the SSLG to train several RGB-D data-based semantic segmentation neural networks.

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SSLG, RGB-D

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In this study, we suggest a microgrid-fed wind power generating system using fuzzy logic controllers. The main problem for wind power production systems that successfully connects to the grid is imbalanced grid voltage sags. Under an uneven grid voltage, the output power and dc bus voltage will vary. Additionally, voltage sags will cause a rise in peak current, which might pose a threat to the functioning of the wind power system. Based on a thorough investigation of the high peak current, this research suggests a straightforward FLC current limiting control system without the need of any additional hardware. In this system, the grid side converter (GSC) transmits power to the machine side converter (MSC) controller, which modifies the electromagnetic power (GSC). Meanwhile, it converts the unbalanced power on the dc- link into the rotor kinetic energy, avoiding the dc-link overvoltage. The GSC controller can not only ensure that the three-phase inverter currents are in the maximum safe range that the converters can bear, but also provide reactive power support for the grid. Furthermore, the fluctuations on dc bus voltage and output power can be eliminated effectively by using the GSC controller. The feasibility of the proposed scheme and the superiority over the traditional control schemes have been verified by simulations under different types of unbalanced voltage.

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MSC, GSC, FLC, DC- LINK VOLTAGE.

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The non-linear statistical method known as multiple regression analysis (MRA) is used to forecast the strength parameter of mortar or concrete. The versatile substance utilized in building projects is mortar. The w/c ratio, environmental factors, chemicals, etc. all typically affect the cement mortar's compressive strength. There are two phases to the process. Using compressive testing equipment, the mortar's compressive strength was first determined. Different water-cement ratios (0.3, 0.4, 0.5, and 0.6) are used to mould mortar cubes, which are then cured in MgCl2 solutions at 0%, 5%, 10%, and 15% concentrations. The compressive strength of these mortar cubes has been evaluated for 28 days, 56 days, and 90 days. Utilizing experimental results, the prediction equation is developed in the second step. These experimental values and predicted values are compared. R2 and standard error values of modal equation are 0.85 and 2.38 respectively.

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Multiple Regression Analysis (MRA), W/C ratio.

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This analysis suggests that the current rise in the automotive sector is mostly due to the renewable energy-based electric vehicle battery charging technology. Due to the intermittent nature of renewable energy sources, grid-connected renewable energy systems are used to charge the batteries of electric vehicles. As a result, this article suggests a grid-connected PV system-based electric vehicle battery charger. The suggested system uses bidirectional ac-dc converters and dc-dc converters to continually charge the EV battery regardless of solar radiation. With the aid of the suggested bidirectional design in the charging system, Sepic converter is selected for dc-dc converters and Line commutated converter is employed as a bidirectional ac-dc converter. During sunshine hours, PV array power generated is used to charge the EV battery alone and during peak sunshine hours, apart from charging of EV battery, the excess PV array power is fed to the single phase utility grid. During low and non sunshine hours, the EV battery charging was supported by the utility grid through bidirectional ac-dc converter. The proposed electric vehicle battery charger is simulated in the MATLAB/Simulink environment and the dynamic response of the system was studied and its results are furnished in this paper.

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Electric Vehicle Battery, Bidirectional ac-dc converter, Line commutated converter, Photovoltaic array, Sepic converter, Utility grid

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Aggregates that have been recycled are those that have been gathered from demolition and building debris. The manufacturing of demolition trash has increased recently, which has contaminated the ecosystem. Thus, substituting recycled materials for natural aggregates will reduce trash generation. The application of recycled aggregates is expanding daily, which will substantially lower the cost. This paper's major goal is to determine the strength characteristics of recycled aggregates so that they may be utilised as a substitute for natural aggregates. Flyash and alccofine are used to replace some of the binding material in an M40 grade concrete. Here, recycled aggregates are used to make concrete in place of natural aggregates to varying degrees (25%, 50%, 75% and 100%), partial replacement of cement with a flyash (25%) and alccofine (0%, 5%, 10% and 15%). Mix design of binary blended recycled aggregate concrete are done by using IS:10262-2019. Workability is measured and mechanical properties like compressive strength, flexure and split tensile strength were determined for 7days and 28 days. Alkaline attack should be calculated after 28 days of NaOH solution curing. The strength of the concrete is decreased suddenly if the recycled aggregates are increased more than 50%. More than 10% of alccofine content the strength is decreased

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Recycled aggregates; Fly ash; Alccofine

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In this study, we will create composite materials that are reinforced using epoxy resin and bagasse fibre in order to create a new type of material. It involves the utilization of natural waste that, after being transformed into new products, is safe for both nature and people. It is readily recyclable. Nowadays, light materials are used everywhere. Composite materials provide lightweight materials with great strength, and tests are performed on w/p to determine its tensile strength.

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Epoxy Resin, Bagasse Fiber, Reinforcement, tensile strength.

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Due to an increase in crime at packed events and unsettling lonely regions, security is always a top issue in all fields. Computer vision is widely used in abnormal detection and monitoring to solve various issues. Due to the increasing need to defend human safety, security, and property, video surveillance systems that can identify and decipher scene and anomaly occurrences are essential for intelligence monitoring. Using a yolo method, this project implements automated gun (or) weapon detection. The suggested implementation employs two different datasets. One dataset had photographs that were already labeled, whereas the other contained images that needed to be manually labeled. The results are accurately tabulated; however their use in practical circumstances can be based on the trade -off between speed and accuracy.

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YOLO algorithm, Armament detection, region convolution neural networks, single shot detection

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Organization citizenship behavior, employee retention

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More than seventy five thousand brands are competing in the Indian market to get acceptance from the consumers. Differentiation and niche marketing being the order of the day, product executives are finding it difficult to ensure success for their brands. Celebrities are widely used to endorse brands with an aim to increase the recall level and to differentiate from other competitive brands. Success of celebrity advertisement largely depends on factors like celebrity characters, fit between product association and celebrity association and congruence between celebrity and target customers. Gender of the celebrities also plays a vital role in arresting the attention of viewers. Perception towards celebrity endorsed advertisement can be augmented if celebrity with few endorsements is used.

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Celebrity, Endorsers, Advertisements, Personalities, Perception

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Organizational culture, Organizational performance, Stratified random sampling

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