Volume 11 | Issue 5 |

 Abstract

The handloom industry has a rich history and cultural significance in many countries around the world, but it also faces numerous challenges in today's global marketplace. This article provides a comprehensive overview of the handloom industry, including its historical development, market trends, government policies, challenges, success stories, and opportunities for growth. The article also explores the role of NGOs and community-based organizations in supporting handloom weavers and provides recommendations for promoting the sustainable development of the handloom industry, including the use of innovation, technology, and marketing strategies. The article highlights the importance of collaborative efforts between governments, the industry, NGOs, and consumers to preserve this important cultural tradition and ensure that handloom weavers around the world can continue to thrive in the 21st century.

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 Keywords

Handloom industry, Traditional craft, Market trends, Government policies,, Challenges, Success stories, Innovation, Technology, Marketing strategies, NGOs.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today, it is quite challenging for people who are autarkic to take their medications. Therefore, the purpose of this study is to remind patients to take their prescribed medications on time and to track their medication adherence. The suggested system makes use of sensors and smart devices to monitor medicine use and inform patients via different means, such as voice assistants or mobile applications. By analysing the collected data, healthcare professionals may see trends and possible problems with drug administration and take necessary action. The medicine reminder system using IoT has the potential to improve medication adherence, reduce healthcare costs, and improve patient outcomes.

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 Keywords

IoT mobile app, LCD Display, IR Sensors, Node MCU, Battery, Speaker, Keypad, Potentiometer, APR9600

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Secure Message Transfer Using ECC Algorithm is a web based application. The Elliptical Curve Cryptography(ECC) algorithm enables secure message sharing by encrypting and decrypting data using elliptic curve over finite fields. Compared to more established public- key cryptography algorithms like RSA,ECC is a kind of PKC that is thought to be more efficient and safe. Using encryption technology to transform messages into unreadable formats that can only be decoded by the intended receiver with right decryption key is a common practice in secure message sharing. Even if the message is intercepted by an attacker, encryption ensures that they won't able to read it. When sending private or sensitive information like financial information, medical records, or personal details, secure message sharing is very crucial. Data protection benefits both people and organization from data breaches and other forms of cyber attacks.

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 Keywords

Encryption,Decryption,ECC,PKC

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

pumpkin (cucurbitacae) has been considered as an important nutritional and medicinal plant due to its health-promoting properties .It is growth in North America about 9000 years ago. The region was pumpkin are cultivated in India: Madhya Pradesh, Orissa and Uttar Pradesh .Its peels are present to investigate functional and nutraceutical constituents. It is rich source of nutritional components like oils, proteins, carbohydrates and minerals. Compounds including phenolics, flavonoids, tocopherols and carotenoids. The aim of study was to standardize the various food products pumpkin peel flour is incorporated with oats meal flour. Oats flour was such ingredients as crude protein, fat, crude fibre and ash. Due to their many benefits such as lowering blood sugar and cholesterol levels. Product was prepared by pumpkin peel powder, oats flour and All-purpose flour. This product was evaluated by a sensory panel member

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 Keywords

pumpkin peel, oats meal flour, mixing and baking

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Reading skill is the bedrock of almost all process of learning which necessitates learners not only to acquire language, but also to learn other subjects. It is an indispensable skill every child needs to acquire in primary school before entering secondary school. Unfortunately, majority of our children in primary schools cannot read effectively before proceeding to secondary school. The current piece of research delineates the levels of teacher competencies in developing pre-reading, while-reading ,post-reading and total reading skills of Secondary school learners in the State of Telangana with special reference to their gender. The sample constitutes Seven hundred (700) teachers working in the Secondary Schools of the State of Telangana. Simple random sampling technique was employed to elicit information from the selected sample. A self-designed questionnaire was developed keeping in view the objectives and hypotheses of the study. It was composed of two parts. Part- A was designed to gather the profile variates of the teacher-respondents in terms of the following personal characteristics: gender; qualification; experience. Part -B appraised the perceptions of the teacher-respondents toward teaching of reading skills. It contained fifty statements which were employed by the teacher-respondents using the Five-point Likert Scale. No significant difference was found between the levels of teacher competencies in developing pre- reading, while-reading, post-reading and total reading skills among Secondary school learners in the State of Telangana with special reference to their gender. Educational implications were drawn from the findings and also suggestions were made for future research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Reading skills; pre- reading, while-reading, post-reading ,total reading skills, Secondary School learners.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Credit card fraud is a big issue in the financial services industry. Every year, billions of dollars are lost due to credit card theft. Due to confidentiality concerns, there is a scarcity of research studies analysing real-world credit card data. Machine learning techniques are employed to detect credit card fraud in this article. Standard models are initially employed. Then, hybrid methods based on Ada Boost and majority voting are used. A publicly available credit card data set is used to assess the model's performance. Following that, a real-world credit card data set obtained from a financial institution is analysed. In addition, noise is introduced into the data samples to test the robustness of the algorithms. The experimental results show that the majority voting method provides high accuracy rates in detecting credit card fraud.

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 Keywords

Credit card fraud, Ada Boost, Hybrid Models, Machine Learning Algorithm, Confidentiality, Financial Services.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Underwater Sensor Networks (UWSNs) are capable to explore the many unrevealed natural resources beneath the water, such as lakes, ponds, rivers, seas, and oceans. Futher there are so many challenges to be faced during the design of UWSN system due to the random nature of water waves. But, perhaps the most significant challenge in UWSNs is how to transfer the packets efficiently with minimum energy cost to the surface sink through the water waves. This can be achieved by employing geographic and opportunistic routing schemes to transfer the packets at the surface sink reliably in cooperation with relay nodes. In this paper, a new routing protocol called the Reputation based Geographic and Cooperative Opportunistic Routing Protocol (RGCORP) is developed using NS2, where data packets are routed from source node to the surface sink with the aid of relay nodes. In RGCORP protocol, initially, a relay forwarding set is being determined by the source node on basis of depth data, then weighting scheme is used to choose the best relay node from the relay forwarding set. The weight calculation is performed on normalized energy, packet delivery probability and normalized distance of the forwarding node to the known surface sink. The main purpose of developing the RGCORP protocol is to enhance packet delivery by using reputation values. Further the performance metrics of RGCORP are examined.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Underwater Sensor Networks, Reputation based Geographic and Cooperative Opportunistic Routing Protocol, relay forwarding set, enhance packet delivery.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The traffic indicators or signs being present is essential for guaranteeing a safe and efficient flow of traffic. The traffic signs that are visible while we are driving significantly affect our daily lives. They offer fundamental information to clients that approach them on the street. They are consequently gradually being encouraged to alter their driving behaviour and make sure they strictly abide by the current traffic laws without harming other drivers or pedestrians.Therefore, in this project, we suggest a model for classifying traffic signs using deep networks that employs Python as its base language and a number of Python modules to train the CNN model [5].The interclass samples from the submitted dataset will be accurately classified using this model, which consists of multiple CNN layers. Real-time traffic sign identification and sign class identification using this technique.

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 Keywords

Traffic sign, Deep learning, CNN, Classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Shreshth Bhaarat Nirman Mein Shaastrokt Nyaay Sandarsh

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Shreshth Bhaarat Nirman Mein Shaastrokt Nyaay Sandarsh

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Creative Commons Attribution 4.0 and The Open Definition

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The challenges that we're facing in our day-to-day life is parking of the car. When we visit colorful public places similar as office, shopping boardwalk, legion cinema halls etc. it's veritably hard to search the vacuity of parking area. This situation calls for the need for a smart car parking system which is equipped with detectors (Infrared) and microcontrollers (Arduino- uno) to automatically count the cars situated in the lot. In this paper we're going to design and apply a prototype of Smart Car Parking System which is grounded on Internet of effects. This paper proposes a system that helps druggies to automatically find the vacant available space in the parking area through the infrared detectors which are located in each parking space and the stoner can find the vacant parking places through an web application on internet via server. In other words, we can say that it's a new way of communication between the humans and the effects. These all effects are done with the help of rearmost technology grounded on IoT.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things (IOT), Sensors, Microcontroller, WebApplication, Smart Car Parking System.

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Creative Commons Attribution 4.0 and The Open Definition