Volume 12 | Issue 5 |

 Abstract

This study explores e-trikes as pollution-free city transport, assessing their urban commuting performance. Petrol tricycles contribute to air and noise pollution due to the combustion of fossil fuels in their engines, emitting greenhouse gases and pollutants such as carbon dioxide, nitrogen oxides, and particulate matter, which can harm both the environment and human health. Petrol tricycles rely on gasoline as fuel, derived from non-renewable fossil fuels. We designed a tricycle with a 650W motor and 24V battery for eco-friendly short to medium city trips. Switching to electric drive maintains performance and ensures comfortable rides. With around a 16km range per charge, they meet urban mobility needs while championing sustainability. Besides eco-benefits, e-trikes prioritize passenger comfort and safety through smart design and stability. Extensive testing covers energy efficiency, range, and reliability, confirming e-trikes as a viable alternative to gas vehicles. Integrating e-trikes into city transit could dramatically cut pollution and boost air quality, fostering healthier urban environments. This study advocates for e-trikes to lead green mobility efforts and shape future urban transport. Key components include a PMDC motor, Battery, Charge controller, and Throttle.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric tricycle, pollution reduction, eco-friendly, reliability, green mobility.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cyberattacks on people, companies, and organizations have grown in frequency. Cybercriminals are constantly searching for efficient ways to infect targets with malware in order to initiate an attack. Millions of people use images every day all throughout the world, and the majority of users think pictures to be secure for usage, however some kinds of pictures have the potential to carry a malware payload and execute detrimental acts. The main reason JPEG is the most widely used image format is because of its lossy compression. It's applied almost everyone, from small businesses to major corporations, and is present on nearly all devices (on digital cameras, cellphones, social networking, websites, etc.). Due of their reputation for being innocuous, enormous JPEG images have a lot of potential for misuse. With the increasing prevalence of digital imagery in our daily lives, the security risks associated with image formats such as JPEG (Joint Photographic Experts Group) have become more pronounced. Malware authors are utilizing the inherent vulnerabilities in image files to conceal and disseminate malicious code, posing significant threats to individuals and organizations alike. This project aims to develop an effective malware detection system specifically tailored for JPEG images. The proposed system employs a multi-layered approach combining traditional signature-based detection methods with advanced machine learning algorithms. By analyzing the structural properties and content of JPEG files, the system can identify anomalies indicative of malicious intent. Furthermore, deep learning techniques will be utilized to train the system on a diverse dataset of both benign and malicious JPEG images, enhancing its ability to accurately detect previously unseen threats. Key components of the system include feature extraction modules, signature databases, and a robust classification engine capable of real-time scanning and detection. Additionally, the project will explore techniques for image steganography detection to uncover hidden payloads within JPEG files. Through the development and implementation of this malware detection system, users can safeguard their digital assets against evolving threats in the form of malicious JPEG images, ensuring the integrity and security of their data in an increasingly interconnected world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

JPEG, Automatic Interpretation, Image Processing, Artificial Intelligence, Malware Detection, CNN, Deep learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Our project involves simple design of motorized handle attachment mechanism for manual wheelchair for better mobility on road. The hand bike consists of electric Hub motor, rechargeable battery, a controller electric throttle, and mechanical brakes. The design is simple, and is affordable for middle class peoples. The mechanism is designed to be safe, light weight and aesthetic look. This electric motorized handle attachment can be easily detachable from wheelchair. This explains how an electric hand bike is made within limited budget for handicapped people

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chair, BLDC Hub motor, PWM circuit, Mild steel frame, Rechargeable battery.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the digital age, the dynamics of marketing have undergone a revolutionary transformation, with influencer marketing emerging as a pivotal tool for brand promotion. This study delves into the impact of influencer marketing on India's travel and tourism industry, a sector renowned for its rich cultural heritage, diverse landscapes, and vibrant traditions. Influencers, through their authentic and engaging content, act as storytellers and experience curators, inspiring wanderlust and influencing travel decisions among their followers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTERS IN BUSINESS ADMINISTRATION (MARKETING AND SALES)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Outsourcing image search services to public clouds is an ever-increasing trend. However, directly outsourcing image datasets to untrusted clouds introduces privacy concerns. Several secure image retrieval schemes have been proposed recently. However, most of them require participation from image owners when building secure indexes, which wastes many computational resources of the image owners. Several schemes are proposed to solve this problem, but they suffer from low search accuracy on large datasets. In this paper, we propose the first secure image retrieval scheme that simultaneously solves these two problems. To obtain higher search accuracy, we extract image features via fine-tuned convolutional neural networks. Then, the image features are encrypted by using the secure k-Nearest Neighbor algorithm. To improve search speed and reduce the cost of image owners, we let cloud servers locally build a secure hierarchical index graph by using the encrypted image features.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

encrypted image retrieval, navigable small world graph, secure index.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Education is a systematic and applied discipline that broadens mental horizons and improves academic performance. Study habits, science literacy, and interest in science are crucial for developing knowledge, skills, and positive attitudes towards science and technology. The main aim of this study is to determine the study habits and science interest of secondary level girls of government and private schools. The research was carried out on a sample of 100 secondary level girl students in class X of government and private schools of Lucknow district. Standardized scales of M N Palasane and Anuradha Sharma for study habits and Dr. L N Dubey And Dr. Archna Dubey for science interest were used to collect the data, which in turn was analyzed by applying Mean (M), Standard Deviation (SD) and t-test. Findings revealed that significant difference exists in study habits, areas of study habits and interest in science of secondary level girls of government and private schools. In the study it is also found that study habits and interest in science is better in secondary level girls private school than secondary level girls of government school. Necessary steps and important measures may be taken by teachers to motivate their students in developing positive study habits and attitude towards science. Finally the study proffers some suggestions to enhance the study habits and interest in science of secondary school students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Study habits, Interest in science, Secondary girl students, Government school, Private school

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present investigation was undertaken with the objective of formulating oral fast dissolving film of the antiemetic drug Domperidone to enhance the convenience and compliance by the elderly and pediatric patients. Domperidone consists antiemetic properties related to its dopamine receptor blocking activity at both the chemoreceptor trigger zone and at the gastric level. Domperidone is a prokinetic & works on the region in the brain that controls vomiting. It is the best option for healing nausea and it is useful for treating vomiting during journeys. Mouth dissolving films were formulated by the solvent casting technique. Films were formulated using Hydroxy Propyl Methylcellulose (HPMC-E5) as a film forming agent, PEG-400 as a plasticizer. The dependent variables were the Percentage Drug Release in 5 minutes and Folding endurance. The thickness, folding endurance, tensile strength, disintegration time, in vitro drug release and drug content uniformity of the prepared films were evaluated. The high percent drug release of the film at pH 6.8 in phosphate buffer suggests its potential application in treating common cold and rhinitis, where there is a requirement of fast drug bioavailability. The overall results suggested that the prepared Domperidone fast dissolving oral films can be used as an attractive and alternative to the commercial available immediate release and conventional tablets resulting improved patient adherence.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oral Fast Dissolving Film, Domperidone, HPMC-E5, Solvent Casting Method.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Self-Help Group (SHG) Bank Linkage Programme in India stands as one of the most significant initiatives in the realm of microfinance globally. The study examines the growth and evolution of the SHG-Bank Linkage Programme in India from 2012-13 to 2022-23. The study investigates multiple dimensions of the programme, including the number of Self-Help Groups (SHGs) linked with banks, savings amounts held by SHGs, loans disbursed to SHGs, and bank loan outstanding amounts. Utilizing secondary data sourced from the Annual Reports of NABARD on the Status of Microfinance in India, the analysis employs growth rates to assess trends and patterns across these dimensions. Key findings reveal substantial increases in SHGs linked with banks, rising savings amounts, expanded credit access through loans disbursed, and growing loan outstanding amounts despite occasional fluctuations. These findings underscore the programme's role in enhancing financial inclusion, fostering savings habits, and supporting microcredit activities among SHGs, contributing to their economic empowerment and resilience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SHG-BLP, savings, loans, loans outstanding

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The synthesis of silver nanoparticles (AgNPs) from D. longan Lour. fruit pulp extract was successfully achieved, as confirmed by UV-visible spectroscopy (max absorbance at 289 nm), DLS (size of < 100 nm and about 250 nm), and Zeta potential (highly stable with -11.8 mV) analysis. The ABTS, DPPH, and metal chelating analyses demonstrated that PhS-AgNPs, in their native state, exhibit substantial antioxidant activities. Thus, PhS-AgNPs can be utilized as antioxidants to alleviate oxidative stress. PhS-AgNPs exhibited substantial antibacterial efficacy against bacterial pathogens (superior active against Gram-ve related to Gram+ve bacteria), rendering them very advantageous in the treatment of bacterial-mediated illnesses and valuable in biological domains. The results of the MTT and morphological investigation indicate that PhS-AgNPs exhibit potent anticancer capabilities on human breast cancer cells (MDA-MB-231) and have significant potential as a cancer therapy in the field of biomedicine. However, it is crucial to do a comprehensive analysis of the anticancer mechanism and any safety risks before concluding that PhS-AgNPs can be used as an effective drug for cancer treatment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dimocarpus longan Lour. fruit, Silver nanoparticles, Antioxidant activity, Antibacterial activity, MTT assay, Anticancer activity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electricity capacity growth is not as fast as electricity demand. Energy conservation scenarios need to be prioritized and promoted. Consumers need to be educated about optimal consumption and at the same time made aware of wasteful consumption. This study proposes a configuration of real-time electricity monitoring and providing insights into monthly consumption of households. Apart from the conservation aspect of this study it also aims to gain knowledge about each individual device's consumption and its contribution in the total monthly consumption. Based on the monthly analysis of collected data it will also attempt to detect faults in connected systems.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-Time Data Monitoring, IoT based Application

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Creative Commons Attribution 4.0 and The Open Definition