Volume 11 | Issue 2 |

 Abstract

Sheet music transcription into a machine-readable format is the focus of optical music recognition (OMR). OMR helps with use cases in digital musicology by making it easier to analyze sheet music statistically or look for notational trends. After a musical composition has been visually expressed in a document with music notation, OMR begins. Recently, OMR has moved away from using traditional computer vision methods and toward a machine learning strategy. In this work, we address these flaws by: Offering a comprehensive definition of OMR and its relationship to related fields; Examining how OMR inverts the music encoding process to recover the musical notation and the musical semantics from documents; and proposing a taxonomy of OMR, with a novel taxonomy of applications being the most salient feature.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Optical Music Recognition, Music Notation, Music Scores, Neural Network, Image Processing, Preprocessing, Optical Character Recognition.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Katigata Vata, Katishoola, Lumbar stenosis/ spondylosis,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the past few years, we have seen vast development in technology, notably in the AI field, Artificial Intelligence. Artificial Intelligence(AI) is the advanced technology that makes it possible for computers to perform advanced functions like analysing data, it also can see, understand, and translate spoken language. According to the Worldometer, the Population of India is 1.41 billion at present and it is increasing rapidly. As the population increases the speed of work decreases. It is too difficult to maintain a database of 1.41 billion people, but AI makes it possible. Now with the help of AI, we have increased the speed, productivity, and reliability of work in most sectors like Education, Health, Hospitality, Retail Industry, and many more. The main aim of this research paper is to deliver an explanatory analysis regarding the growth and development of Artificial Intelligence in various sectors, especially in the Education, Health, and Retail sectors in India. Artificial Intelligence is a trending topic of modern times. The other objective of this paper is to review the future of Artificial Intelligence in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Artificial Intelligence, AI in Education, AI in the retail sector

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article focuses the essential factor of learning processes and how it is being triggered through the other elements in understanding and knowing the information. Cognitive science and the schema theory and its evolution with the different concepts of memory are being discussed. In nutshell, schema theory can be used in the strategy framing and the constructive frameworks for the Teaching pedagogy. The examples from the experiments of Educational Psychologist are the lifting veil of the mystic idealogies about the learning concepts existed at present scenario

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Schema Theory as Learning Tool in Edcuation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND:TheIntegrated Child Development Services (ICDS), the nationwide programme of the Government of India offers the most important interventions for addressing the nutrition and health problems and promoting early childhood education among the disadvantaged population of the country. The present study was undertaken with the objective of assessing the awareness among anganwadi workers regarding the health and nutrition services for children (0-6yrs) in ICDS. METHODS: The sample of the present study was takenfromperundurai and erode rural blockof Erode district-Tamil Nadu.Totally 100 samples were taken under the age group of 30-60 years.The tools used for study was self-devised interview schedule. A pre-tested, structured questionnaire was usedfor pre-assessment and post-assessment. Nutritional education was given to angawadi workers by using pamphlet and presentation (PPT). After 30 days the impact of their knowledge was assessed. RESULTS: In pre-assessment the anganwadi workers has 82.772% of knowledge about ICDS program and Nutrition. In post- assessment anganwadi workers gained the knowledge by 92.57%. Hence, 9.8% of nutritional knowledge has been gained by the anganwadi workers through education. CONCLUSION: Anganwadi workers are the key person who will promote the good practices of services related to ICDS to enhance the health and nutritional status among mothers and children; hence they should have the regular and quality training program to equipped with better knowledge to prevent mortality and morbidity rate in the community.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Learning software for machines is quickly becoming the most popular and widespread form of agricultural technology. Artificial machine learning is one of the sectors of the agriculture industry that is growing at the fastest rate. The application of artificial technologies in the field of agriculture has led to improvements in accuracy as well as the finding of answers to previously unresolved issues. In agriculture, the application of machine learning should work towards improving crop quality while also increasing plant output. Cotton is the most essential crop for producing fiber, not only in India but also around the world. The cotton textile industry stands to benefit from the acquisition of this since it is the raw material used in the production of fiber (cotton fiber). Infections caused by bacteria, fungus, and worms, as well as unregulated agricultural practices that are harmful to the leaves, are the primary challenges that cotton growers confront. Therefore, in order to prevent a low yield, farmers need to be aware of the crop diseases that have hurt the crop in the past. The consistent use of pesticides, together with the evolution of pests into organisms that are increasingly resistant to the effects of chemical control, has resulted in yields that have remained flat or fallen, in addition to a decline in the quality and productivity of the soil. Although a great number of cutting-edge machine learning models have been developed and examined, widespread application of these models in agricultural contexts has not yet been achieved. Transfer learning is a method that can be used to adapt and apply existing models in order to improve disease detection in plants and crops. In order to diagnose diseases that affect cotton plants, we have utilized contemporary methods and presented a hybrid methodology. In a hybrid method, contemporary computer vision models such as Faster RCNN and Single Shot Detector (SSD) are employed to recognise plant leaves and locate ROI (Region of Interest).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plant disease detection, image processing, image acquisition, segmentation, feature extraction, classification.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Our proposed system is an Online food ordering system in restaurants that enables ease for the guests. It overcomes the demerit of the traditional queueing system. Our proposed system is a medium to order online food hassle-free from cafes as well as mess service. This system improves the system of taking orders from the client. The Online food ordering system in restaurants sets up a food menu online and guests can fluently place the order as per their want. Also with a food menu, guests can fluently track their orders. This system also provides a feedback system and food standing system in which stoners can rate the food particulars. Also, the proposed system can recommend taverns, and food, and rested on the conditions given by the stoner, the hostel staff will be informed about the advancements along with the quality. The payment can be made online or pay- on- a delivery system or cash system. For further secured ordering, separate accounts are maintained for each stoner by furnishing them an ID and a word

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food hub, Food, Foody, Online Ordering, food system, food ordering.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Organizational Citizenship Behaviour , Perceived Organizational Support, Occupational Stress

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Past earthquakes witnessed the poor performance of unreinforced masonry walls (URM) structures resulting into huge economic loss and large number of casualties. In this context, the present paper is aimed to investigate the shear behavior of a series of masonry walls under Diagonal compressive loading. To improve the wall behavior in shear, Polypropylene band (PP-band) and fiber glass mesh (FGM) are used as retrofitting material. Both faces of wall are wrapped to get full tightening effect during loading. This paper compares the shear behavior and flexural behavior of the unreinforced masonry walls with fiber glass mesh. The walls are constructed of full scale and half scale sizes. These walls are also compared with shear wall and the results of each particular wall are obtained. It has been observed that retrofitted walls exhibit significant improvement in terms of load carrying capacity and shear behavior. Failure mode of the walls are computed using analytical formulations. It was observed that both the strengthening materials not only increase the load carrying capacity but also helps in changing the failure mode from brittle to ductile in some extent. During the study, it may be concluded that the use of PP band and fiber glass mesh are effective in improving the shear behavior of masonry walls for all types of walls.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Unreinforced masonry wall, diagonal compression test, polypropylene band, fiber glass mesh

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study is a product of a classroom experiment designed to investigate and explain how students' gender affects their proficiency in English throughout a course using the Task-Based Language Teaching methodology at the secondary school level in Andhra Pradesh. Before diving into the technique and discussing the results and their interpretation, I provide a brief overview of the state of English in India and the TBLT approach. The study found, among other things, that students' gender had no bearing on their English proficiency and that TBLT helped students improve their English.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

(Keywords: Role of Gender, Teaching Experiment, TBLT, Secondary Level Students, Speaking Skills in English, Zero Influence of Gender, and TBLT is Effective)

  License

Creative Commons Attribution 4.0 and The Open Definition