Volume 5 | Issue 4 |

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SSLG, RGB-D

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MSC, GSC, FLC, DC- LINK VOLTAGE.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recycled aggregates; Fly ash; Alccofine

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Epoxy Resin, Bagasse Fiber, Reinforcement, tensile strength.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Organization citizenship behavior, employee retention

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Celebrity, Endorsers, Advertisements, Personalities, Perception

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Organizational culture, Organizational performance, Stratified random sampling

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Creative Commons Attribution 4.0 and The Open Definition