Volume 11 | Issue 4 |

 Abstract

With the increase in urbanization, traffic congestion and environmental pollution have become significant issues in many cities worldwide. Electric foldable cycles are an innovative solution that provides a sustainable and efficient mode of transportation for urban commuting. Electric foldable cycles have become a popular mode of transportation due to their versatility, convenience, and eco-friendliness. This paper provides an overview of electric foldable cycles, including their history, design, features, and benefits. The paper also discusses the current market trends and future outlook for electric foldable cycles. This paper aims to examine the rise of electric foldable cycles as a popular and viable option for urban mobility. The paper reviews the current market trends, advantages and disadvantages, technical specifications, and future prospects of electric foldable cycles.

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 Keywords

Electric Foldable Cycle, Pollution, Urban Commuting.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Because of its effects on the various communication and security domains, intrusion detection in computer networks is crucial. It can be difficult to find network intrusions. Furthermore, network intrusion detection is still a difficult task because it takes a tremendous amount of data to train modern machine learning models to recognize network intrusion threats. Recently, a number of methods have been put out for network intrusion detection.

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 Keywords

NSL-KDD, machine learning, feature scaling, network intrusion detection system (NIDS), software defined network (SDN), Ada Boost.

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Creative Commons Attribution 4.0 and The Open Definition

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The future of the automobile industry is electric vehicles which are advantageous to us in many ways. Electric vehicles do not emit pollutants which make them eco-friendly and are generally differentiated with the help of a green license plate. The proposed system aims at building an intelligent model that can recognize electric vehicles such as cars, buses, autos and two-wheelers from its green license plate. The technique used here is image processing which works by processing the images of vehicle license plates. The final objective is to create an automatic authorized electric vehicle recognition machine. The data can be used by the government to conduct surveys and monitor the growth of electric vehicles in society. The data can also be further analyzed by environmentalists to understand the level of impact the electric vehicles have on the environment.

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 Keywords

Electric Vehicles, Recognition, Machine Learning, OpenCV, Color detection, License plate detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The games content examination has expanded quickly in ongoing many years, in view of such tremendous development of video transmission over the Web and the interest for computerized telecom applications. In which enormous information produced by sport recordings so there is testing errand of mining or characterization of game video information spreading over web. Existing studies have zeroed in on the techniques of sports video examination from the spatiotemporal perspective (Meta information) rather than a substance based viewpoint (actions). Rationale behind proposed work is to parse sport recordings in light of activities only which sort of game is playing in current video grouping rather than crude data about that video. The game video broadcast is the vitally satisfied spreading and requesting over web. The monstrous interest for sports video broadcasting, many game applications, for example, hot-star, you-tube and numerous web based entertainment applications. Ongoing many years the games programs have turned into a prevailing concentration in the field of diversion. Research on big data analytics has attracted much attention to machine learning and artificial intelligence techniques. Thus, there is need major areas of strength for of which can deal with such colossal game information in light of content of videos.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Action Recognition, Content Aware System, Content-based Multimedia Analysis, Event Detection, Semantic Analysis, Sports, Survey.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phytonutrient analysis and sensory evaluation study on pandan amaryllifolius

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Phytonutrient analysis and sensory evaluation study on pandan amaryllifolius

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Education is the means of total development of individual's potentialities. A nation can be developed if it's all citizens are educated and economically sound. Society also makes its progress by full utilization of human resources. To be a developed country, India should require a well planned education system to improve the socio-economic and cultural approaches. There are a lot of commissions, plans, programs and policies were set up for the effective development of Indian education. All these plans and policies aimed to equal educational access to all people of India, irrespective of any discrimination. The Indian constitution in its different articles from different amendments, seeks to provide educational opportunities to the Indian citizens. After the Education Policy of 1986, the New Education Policy 2020 is the largest policy that leads to reform and reconstruction of Indian education from pre-primary to higher level. It is the policy approved by the Cabinet of Indian Government proposed new curricular and pedagogical structure as 5+3+3+4 following the mother tongue or local language as medium of instruction with holistic and multidisciplinary approaches. This policy wants to focus various reforms in higher educational system also. The present study aims to describe the major highlights recommended in higher education and find out the probable benefits.

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 Keywords

Keywords: Higher Education, NEP 2020, Development of Indian Education.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article is a study on the growth of the IT sector after the implementation of Agile methodology. Agile methodology is an approach to software development that emphasizes collaboration, flexibility, and customer satisfaction. The study explores the benefits of Agile methodology in the IT sector, including increased efficiency, faster time-to-market, and improved quality of software products. The study also highlights the challenges faced in implementing Agile methodology, such as resistance to change and difficulty in scaling. The research methodology used in the study involved a review of literature and case studies of IT companies that have successfully implemented Agile methodology. The key findings of the study indicate that Agile methodology has had a significant impact on the growth and success of the IT sector. Companies that have adopted Agile methodology have experienced increased profitability, growth, and customer satisfaction. The article also discusses the success stories of IT companies using Agile methodology, such as Spotify and Google, and provides future implications and recommendations for the adoption of Agile methodology in the IT sector. These recommendations include continuous learning and improvement, integration with other processes, adoption in non-IT areas, focus on customer satisfaction, and balancing flexibility and structure.In conclusion, the adoption of Agile methodology represents a significant step forward for the IT sector, driving innovation, growth, and success. The article provides references and further reading materials for a comprehensive understanding of Agile methodology, its benefits and challenges, and best practices for its implementation and success in the IT sector.

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 Keywords

Agile methodology, IT sector, Software development, Collaboration, Customer satisfaction, Time-to-market, Quality.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Automation is a need of time. With the increasing speed of life, the demand to perform tasks at a higher speed is being laid out too. This has ultimately led to a massive increase in the number of vehicles. To clean these vehicles there is a need for a proper washing system. The most common problem often encountered while cleaning these vehicles is time-consuming and overuse of water; one of the problems is overuse of water, in- country like the time there are still places where people don't get water for 10-15 days and we are wasting the water for the just car wash. time is a commodity that needs to be managed effectively and efficiently to maximize productivity. So, this project is developed to reduce the time to clean vehicles. In developed countries, automatic car washing system is already implemented and being used extensively but in developing countries like India, it's still uncommon and has a lot of potential for developing this system. In this automatic car washing project, we have used a conveyor belt on which the car will go through the various washing stages. When we press a switch conveyor belt on which the car is initially brought by a serviceman starts moving. Sensors are placed at the platform adjacent to the moving conveyor belt at different places for car detection. When the first sensor senses the car, the process is turned on and the conveyor starts moving. In this process, several stages are followed for the entire car washing named as soap water cleaning, brushing, clean water pouring drying. Hence the exterior of the car will be washed and this process is controlled by the PLC. Whether the exterior of the car is cleaned properly or not can be easily detected by the machine vision algorithm. in this, we have used the machine vision algorithm to check whether the car is cleaned or dusty before and after washing.

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 Keywords

Automation, car washing system, PLC, machine vision algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's world of technology and due to speed running industries, the production rate has increased tremendously. Generally, manufacturing industries keep manufacturing same models with little variation in height, colour, weight, shape. And here sorting plays an important role. In such cases industries can't bare human errors for sorting these products. Thus it become necessary to develop Low Cost Automation (LCA) for sorting these products in accurate manner. Industrial automation mainly focuses on developing automations having low cost, low maintenance, long durability and to make systems user friendly as possible. Finally, here we have developed a LCA system for sorting the light objects on the basis of size variation using DC geared motors which is controlled by Programmable Logic Controller (PLC) and the conveyor in the system passes the object in front of sensors and thus sorting logic is decided.

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 Keywords

PLC, Low cost automation, Conveyor belt, Sorting, Object, Human, Sensor, Drive, Motor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The mesua ferra young fruit and essential oil is obtained seeds contain a fixed oil, hard peri carp contains tanin,resin is in tears.It dissolve in benzol essential oile is very fragrant, pale yellow and of the odour of flowers.

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Unani Tibbi Name -Nar Mushk, Botanical name-Mesua Ferra Linn, Family-Guttiferae, Synonyms -Mesua Roxburghii, Mesua Coromandalina, English name-Iron wood tree/Conra's safron mesva, Indian Rose Chest nut.

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Creative Commons Attribution 4.0 and The Open Definition