Volume 12 | Issue 5 |

 Abstract

In this paper, the researcher delves into the obstacles that ESL (English as a Second Language) students face when trying to improve their oral communication skills and present effective solutions to help them overcome these challenges. The ability to effectively communicate verbally is crucial, especially in academic and professional environments. However, ESL students encounter unique challenges, such as language barriers, difficulty with accents, and self-confidence issues. Through our research, we have identified the main obstacles that impede ESL students in their journey to enhance their oral communication skills, such as the complexities of the English language, cultural differences, and the fear of being judged by native speakers. Furthermore, we propose practical solutions to tackle these issues, including the utilization of technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESL students, oral communication proficiency, pedagogical approaches, technology-assisted learning tools.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sun based control is basically saddled from photovoltaic (PV) boards which are orchestrated in multiple clusters in a sun oriented cultivate or sun based framework. In any case, the proficiency of vitality created from PV boards is influenced by the amassing of clean and flotsam and jetsam, indeed on one board in an cluster. Sun oriented panel is helpless to amassed clean on its surface. The effectiveness of the sun powered board slowly decreases since of clean aggregation. Here an Arduino based sun powered board cleaning framework is designed and actualized for tidy evacuation. An ESP 32 controller are utilized to screen the water level of tank and stickiness, temperature. Those all parameter is appeared on firebase cloud. The proposed sun based board cleaner is waterless, temperate and programmed. Exploratory comes about appear that the proposed cleaning framework can work with an productivity of 87-96% for distinctive sorts of sand. This condition leads to the require for normal cleaning of the surface of PV boards. Current labour -based cleaning strategies for photovoltaic clusters are exorbitant in time, water and vitality utilization as well as missing in robotization capabilities. To overcome this issue, a completely programmed sun based panel cleaning framework with water is proposed. The plan utilizes an Arduino controller framework to control the operations amid the cleaning prepare which cleans the clean on the surface of the sun powered panel and makes strides its productivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino, Cleaning System, Dust Accumulation, Efficiency, IOT, Water level.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The efficient maintenance of drainage systems is crucial for ensuring the smooth operation of urban infrastructure. However, clogging due to various residues poses a significant challenge, leading to blockages and potential environmental hazards. In response to this issue, this research presents a novel prototype model of a drain cleaner designed to effectively tackle such obstructions. The prototype incorporates innovative features aimed at enhancing cleaning efficacy while minimizing environmental impact. Through a combination of mechanical and chemical methods, the proposed drain cleaner offers a versatile solution adaptable to diverse drainage scenarios. This paper outlines the design, fabrication, and testing of the prototype, highlighting its potential applications and benefits for sustainable urban management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

drain cleaner, prototype model, urban drainage, blockage removal, sustainable management

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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 weight objects on the basis of height 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. In many industrial applications there is need of sorting. Sorting can be done by using many ways like sorting of object according to their dimensions (height, length etc.), according to their colors, according to their weight, using machine vision (image processing), according to the material of an object etc. For example in Thermal Power Station electromagnetic sorting technique is used to sort ferromagnetic materials from coal. In this project, the development of a LCA (Low Cost Automation) system to sort objects according to their height has been designed. This LCA system is controlled by Programmable Logic Controller (PLC). This project consists of two parts, first consisting of software which contains ladder logic programming which is used to program PLC that controls the whole process of the project step by step according to input data sequence. Second is the hardware part which consists of conveyors used to transport the objects, sensors used to sense the height (i.e. laser sensors) of the objects, electronic system used to sort the objects and motors to drive the conveyors.

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5

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract-- In agriculture, now-a-days farming is the main source of income in the country but there are many challenges in farming. The main problem is crop are being affected by various diseases.so the income of the farmers is dependent on crop cultivation. So, to overcome these problems we need to have use various methods to prevent crop diseases. This holds the potential to significantly impact global food security and contribute to the advancement of precision agriculture, fostering a more resilient and productive farming ecosystem. The solution is been built using deep learning models like CNN, and image segmentation models using ML. So, the pre-existing systems of disease prediction is having some limitations. In terms of accuracy and time needed to find the solution. Therefore, the system we are proposing is been built to not have any of these limitations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Recommender System, Machine Learning and Data Science, Disease prediction, Classification, YOLO, Image Classification, Image Segmentation, CNN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The peacock has always been a captivating bird that people all over the world admire. In India, it is especially valued, representing beauty, grace, and even something divine. Its presence in various art forms and craft traditions reflects the deep-rooted cultural significance and artistic appeal related to the peacock. The peacock motif occupies a significant place in traditional Indian jewellery. Thewa jewellery is a traditional form of Indian jewellery renowned for its exquisite craftsmanship and intricate designs. Designs in traditional Thewa jewellery are inspired by various themes that are culturally rooted and display the regal grandeur of Rajasthan. Among the traditional motifs in Thewa jewellery, peacock motifs stand out as one of the most preferred motifs even today due to their cultural significance and artistic appeal. The study explores the cultural significance and artistic expression of the peacock motif in Thewa jewellery. Data collected for the study using primary sources mainly includes interviews with Thewa craft practitioners and secondary sources includes images of peacock motifs in Thewa jewellery and existing literature on cultural significance of peacock. The artistic expression of the peacock motif has been studied through forms, sizes and placements in different Thewa jewellery products.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Motif, Peacock, Design, Thewa Jewellery

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Paddy waste like straw and stubble is being burnt by the farmers in Haryana due to continuous cropping and high labor costs. This has led to severe air pollution problems in the NCR. In this study four different varieties of PUSA paddy crop straws are collected and tested from five paddy cultivating districts of Haryana. The four varieties collected of PUSA are characterized physically and chemical analysis of the straw is done to understand the nature of the straw for Nitrogen, Organic carbon content, Phosphorus, and potassium in the straw. Then the straw is burnt in the flame chamber to understand its flame behavior. This study is done basically to understand the constituency of the paddy straw to estimate the loss happening by the burning of the stubble. Also, the burning behavior of the straw is studied to understand the effect of stubble burning on the air quality and the pollution level. This study is done to inform the farmers that the burning of straw is leading to a great loss and also affecting the air quality of Haryana and NCR region.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Physico-chemical characters, Organic Carbon content, Flame behavior, crop residue burning, Kjeldahl's method, Walkley and Black method, Bulk density, Porosity, Mineralizable Nitrogen, Carbon dioxide, Carbon monoxide, Sulphur, Volatile organic compounds.

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Creative Commons Attribution 4.0 and The Open Definition

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This abstract introduces a comprehensive lane detection and assistance system aimed at improving road safety and driving experience. Leveraging advanced computer vision algorithms, the system identifies and tracks lane boundaries in real-time, offering timely alerts and assistance to drivers to enhance navigation and prevent accidents. By integrating advanced image processing techniques, it ensures reliable performance across diverse environmental conditions, making it invaluable for enhancing vehicle safety and autonomy. Lane marking detection is pivotal for both advanced driving assistance systems and traffic surveillance systems, yet it faces numerous challenges such as light effects (e.g., shadows, reflections), obscured visibility due to adverse weather, lane marking occlusion by surrounding objects, and the presence of confusing lane features like guardrails and road dividers. To address these challenges comprehensively, the proposed project incorporates additional functionalities including pothole detection, object detection, and road sign detection. This multifaceted approach aims to create a robust and versatile system capable of enhancing driving safety and efficiency in a huge range of real-world scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning , Internet of things.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The prediction of students' academic achievement is crucial for universities to identify students at risk of academic failure. This paper aims to present data mining models using classification methods based on Support Vector Machine (SVM) algorithms to predict students' academic achievement after their preparatory year and to identify the algorithm that yields the best performance. Students' academic achievement is defined as High, Average, or Below Average based on their graduation CGPA. These models are applied to a newly created dataset consisting of 339 students and 15 features from the College of Information Technology (IT).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Support Vector Machine (SVM), computer vision, neural network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In a rapidly changing digital world, consumers express themselves through vast amounts of textual data, highlighting the significance of understanding their sentiments. The paper introduces a eclectic sentiment analysis system designed to provide actionable insights to businesses by analyzing consumer reviews from e-commerce platforms such as Amazon. Leveraging an ensemble learning model comprising Random Forest, XGBoost, LightGBM, and Linear Regression algorithms, the system extracts insightful information on customer attitudes and preferences. Through a multi-stage process encompassing data acquisition, preprocessing, sentiment analysis, and recommendation generation, the system offers personalized recommendations tailored to individual user profiles. The usefulness of the suggested approach is demonstrated by experimental findings, and prospective improvements, such as real-time flexibility and sophisticated machine learning approaches, are considered. The paper also highlights the significance of sentiment analysis in informing strategic decisionmaking and driving business success in today's digital marketplace.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Consumer Behavior, Customer Reviews, Business Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition