Volume 11 | Issue 5 |

 Abstract

The field of networks has grown in recent years and still has scope to grow and create a lot of opportunities in this area. In this paper, we focus on the recent trends in networks and their developments in the area of sciences. A literature review was done on different topics and analyzed. The survey on recent trends in networks may depict the effectiveness of these technologies in present and future in simplifying the problems of mankind.

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 Keywords

OSI model, Graph Theory, Protein-protein interaction, Science

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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M.P.: Madhyapradesh, H: Hypothesis, df: Degree of freedom

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Creative Commons Attribution 4.0 and The Open Definition

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Textile industries are one of the major industries in the world. The textile industry utilizes various chemicals and large amount of water during production process. The waste water produced during this process contain large amount of dyes. If a textile mill discharges the waste water into the local environment without any treatment, it will have a serious impact on natural water bodies and land in surrounding area. In this project, vermifiltration technique is used for treatment of textile waste water. A non-vermifiltration technique is also used for treatment of textile waste water. The efficiency of vermifilter for making appropriate quantities of following parameters like, BOD, Color, pH, Hardness, Alkalinity, Chloride content, and TDS in both techniques at varying hydraulic loading rate are studied.

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 Keywords

Vermifilter, Non - Vermifilter, Hydraulic Loading Rate, textile industry, efficiency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The improper disposal of diapers and menstrual waste is an obstacle for public hygiene. Disposable diapers are thrown away indiscriminately and this presents some challenges, environmental and health-wise. Implementation of modern techniques like incineration can help in safe disposal of diapers and menstrual pads and to promote public hygiene. Here, the used diapers are dumped into an incinerator for incinerating. The sanitary napkins are also incinerating by dumping into an incinerator. The sanitary waste generation rate in Parappanangadi municipality around 200 kg/day. An incinerator has been designed to treat the sanitary waste like diapers and sanitary napkins which is being generated in Parappanangadi municipality with a capacity of 100kg/day. The incinerator will work at 600 - 800 degree Celsius and there is no smoke and foul smell. Both solar energy and steam energy is used for the working of incinerator. The excess electrical energy generated can be selling to the Kerala State Electricity Board (KSEB). The 2D model of napkin incinerator created using both Auto CAD and ANSYS software. The 3D model of napkin incinerator created using ANSYS software. Computational Fluid Dynamics (CFD) is done in the incinerator with ANSYS software. The Cost estimation is also created. The disposal system of diapers and sanitary napkins are designed for Parappanangadi municipality in Malappuram district which contain 45 wards, for hygienic environment.

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 Keywords

Diapers, sanitary napkins, incinerator, CFD, ANSYS, Auto CAD

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Amazon is one of the largest e-commerce companies in the world, offering a wide range of products and services through its online platform. Founded in 1994 by Jeff Bezos, Amazon has grown to become a global leader in retail, cloud computing, digital streaming, and artificial intelligence. The company's mission is to be Earth's most customer-centric company and to continually innovate and improve the customer experience. This study analyses the impact of the COVID-19 pandemic on Amazon's sales performance, using a comparative analysis of pre- and post-pandemic sales data. The COVID-19 pandemic has brought unprecedented challenges to the global economy, with many businesses struggling to survive amidst lockdowns and restrictions. However, e-commerce has emerged as a key sector that has seen increased demand due to the pandemic, as consumers shifted to online shopping for safety and convenience. Amazon, as one of the world's largest e-commerce companies, has seen a significant increase in sales during the pandemic, but also faced operational and logistical challenges due to the surge in demand. This study aims to examine Amazon's sales performance in the period before and after the COVID-19 outbreak, and to identify the factors that contributed to its sales growth or decline. The study will use a combination of quantitative and qualitative methods, including data analysis of Amazon's financial statements and sales reports, as well as interviews with Amazon executives and industry experts. The findings of the study will provide insights into the resilience and adaptability of e-commerce companies in the face of global crises, and the strategies that can be adopted to sustain sales growth and profitability in a rapidly changing environment.

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 Keywords

Amazon, e-commerce, Sales performance, Comparative analysis ,Operational challenges ,Sales report ,Global crisis

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 Abstract

Today, most criminal activities take place using handheld arms, particularly guns, pistols and revolvers. Crime and social offence can be reduced by monitoring such activities and identifying antisocial behavior so that law enforcement agencies can take appropriate action in an early stage. The solution to this problem is to deploy surveillance systems or control cameras with automatic handheld gun detection and alert systems. In the last few years, deep learning has established a landmark in the area of machine learning particularly in object detection, classification and image segmentation. Convolutional Neural Network (CNN) achieved the best results so far in classical image processing problems such as image segmentation, classification and detection in several applications. Some other problems that arise during gun detection are noises in gun image, deformation of gun and real time processing requirement. During the transportation and addition of images, noises can occur in that image. Various types of noises can be there like salt and pepper noise, Raleigh noise, Gaussian noise, etc. and these noises can be introduced during varied conditions of transportation and addition of noises. In this we present an automatic handheld gun detection system using deep learning, particularly YOLO. From the experiments we found that the most promising results are obtained by YOLO based model trained on our database. The model shows a high potential even in low quality images and provides satisfactory results.

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 Keywords

SIFT (Scale-Invariant Feature Transform) and RIFT (Rotation-Invariant Feature Transform), Image processing,YOLO Algorithm and Splitting Dataset into train and test data

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When multiple networks of bots emerged, the term "botnet" was coined. It is a collection of Internet-connected devices that run one or more bots. Botnets can be used to launch distributed denial-of-service attacks, send spam, and allow attackers to gain unauthorised access to network connections. The Owner (BotMaster) uses command and control software to manage the botnet. This paper discusses the accuracy of Botnet detection prediction using various models.

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 Keywords

Botnet, XGBoost, NaiveBayes, DDOS, Decision Tree, Random Forest, Network Traffic.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India has nearly 1/6 of the world cattle population. Dairying serves to be a subsidiary occupation to the millions of the rural people. There is a growing demand for milk and milk products in urban areas. Rural people lacked a system of dairying based on commercial milk production, collection, transportation, processing and marketing of milk. Exploitation by Private traders taking advantage of such situation - Paying low price to the milk producer, indulging in adulteration of milk and charging high price from the urban consumer. In first Dairy cooperative society was registered in 1913 at Allahabad in Uttar Pradesh and was called "Katra Cooperative Dairy Society", Calcutta Cooperative Milk Union was registered in1919. The Madras Milk Supply Union was established in 1927. By the end of the 1930s, there were 19 milk supply unions covering 264 Primary societies. During the II-nd World War, the increased demand for milk and milk products from the army and acute shortage of milk in urban areas gave a new push to the organisation of many milk cooperative societies. However, most of the societies continued to be consumer oriented. The Kaira District Cooperative Milk Producers Union at Anand (Amul) was formed in 1946 and constituted and important landmark in the development of dairy cooperative movement as this was the first producer oriented dairy cooperative forms in India.

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 Keywords

Co-operative Marketing - Dairy Co-operatives - Evolution and Growth - Anand Patterns - Marketing of Milk and Milk Products and Administrative setup of Co-operative Dairying in Tamil Nadu.

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An electronic menu (e-Menu) and server robot system can potentially enhance the dining experience and improve the efficiency of a restaurant. The e-Menu which uses a LCD display with a 4X4 keypad provides customers with an interactive and visually appealing platform to browse and order dishes, including detailed information about ingredients and allergies. The server robot which uses line follower technique assists in taking orders and delivering food, allowing human staff to focus on other tasks such as cooking and customer service. The main aim is to automate and improve the ordering and billing processes in restaurants along with real time customer interaction and feedback.

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 Keywords

e-Menu, LCD display, 4X4 keypad, server robot, line follower.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The massive consumption of fossil fuels and the difficulty of achieving energy and environmental sustainability, a serious search for new and cleaner energy has gained attention in recent years. The front line is moving towards the production of clean, ecologically friendly energy from locally accessible raw resources. In this research, pyrolysis-based conversion of the combined biomass (cow dung) has been studied. It has been modelled how temperature affects the yield and energy content of fuels for energy generation, including bio-oil, char, and biogas. The investigation's findings generally showed that the product output and energy recovery were not considerably impacted by the quantities of the various biomass. The outcome of energy recovery shows a significant influence on temperature, with greatest conversion for char, syngas, and bio-oil. After pyrolysis, a total energy conversion efficiency of was attained.

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 Keywords

Pyrolysis, Animal Manure, Cow-dung, Char.

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Creative Commons Attribution 4.0 and The Open Definition