Volume 11 | Issue 1 |

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

knowledge, legal aspects, psychiatry nursing care

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There are many ways to communicate with deaf and dumb people,one of them is the sign language.Due to the differrences in the way of communication its difficult for us to interact with deaf and dumb people.So its important for us to learn the sign language to make communication easier. This paper presents a sign language detection system that aims to improve communication for individuals who are deaf or hard of hearing, or for communication between individuals who use different sign languages.The proposed system uses deep learning techniques to detect and recognize signs from video or image data.The architecture of the system includes the use of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) for feature extraction andsign classification. A large dataset of sign language examples was used for training and testing the model.Data pre-processing and augmentation techniques were employed to improve the diversity and size of the dataset.The experimental results show that the proposed system is able to achieve high accuracy and efficiency in sign language detection.The potential impact of this system is to improve communication for individuals who use sign language,and to promote the development of sign language recognition technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

image processing, feature extraction, edge detection, pre-processing, classification

  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

Constitution, Protective discrimination, Social justice, Legislation, society.

  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

Arduino Nano, Alcohol Sensing

  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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the number of rivals and contenders in the market are increasing day by day, it is getting harder and harder for the existing companies to retain customers. The Customer Analytics based on Segmentation, Retention and FP-Growth provides a better way for retention and improving the profit margins. Customer Analytics is the process of analysing the customer data to gain some valuable and useful information or knowledge that is beneficial to the organization or the store. In this research we will be working on a way to improve the retention of the customers by analysing the buying patterns of the product consumers. For that first the customers are segmented into various categories based on their interaction with the company using RFM analysis and K-Means Clustering. Then the patterns of purchasing are studied and recommendations are provided using the FP-Growth algorithm. These recommendations are basically used to attract the customers and gain back them back by providing various offers and sales. Finally, this results in the improved commitment of the customers with regard to the organization and also improved profit margin for the organization over long-term.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer Analytics, Segmentation, Retention, FP-Growth Algorithm, K-means, RFM Analysis, Basket Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In AI and Information Science, we frequently run over a term called Imbalanced Information Conveyance, Disorganized or random chunks of scattered data, which is the usual occurrence when perceptions in one of the classes are higher than different classes or the other way around. In real applications, Data sets with imbalanced class distributions are quite frequent. For example, in credit card fraud detection, legal transactions outnumber the fraud transactions or during an automated inspection of the products in a coffee-mug industry would evaluate that the defective products are significantly less compared to the non-defective ones. This distribution when compared to the classifier tends to have a biased image for the majority class. The reason that this idea might be occurring is due to the fact, while performing the engineers are more concerned to have accuracy for the result and not on the performing stage, that is, they are accuracy driven. Considering the same case of fraud detection for credit card users, the accuracy for no fraudulent detection might achieve the 97% benchmark but despite this achievement in such cases, the rare class has much greater importance than the majority class. There are primarily two methodologies that are utilized for dealing with imbalanced class appropriation, one is SMOTE and the other is Near Miss Algorithm. There are more ways of drawing closer imbalanced datasets, for example, Cost-sensitive learning or Anomaly detection and so on. As AI calculations will generally increment exactness by minimizing the error, they are not efficient for varied class distributions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Detection, Imbalaced data, SMOTE, Sampling, Anamoly Detection, Near Miss

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Concrete is a widely used construction material all over the world due to its high strength properties and relatively low cost. With a variety of advanced features, self-compacting concrete has been used for a variety of constructions and infrastructures as a new smart building material. However, the formation of cracks in concrete is inevitable. For this reason, fiber reinforced bacterial concrete is used to avoid cracks. The fibers reduce the crack width by the action of bridging and bacteria can develop a filling material in that bridging portion. Thus, a composite material is formed which can heal the cracks, thus improving the strength and durability of concrete. In this paper, coupled effect of bacillus subtilis bacteria and steel fibers on self-compacting mortars was examined. The replacement of cement in self-compacting mortars with supplementary cementitious materials, such as fly ash, GGBS, silica fume results in reducing the heat of hydration, decreasing efflorescence and producing cost-effective and eco-friendly concrete. The coupled effect of bacteria and fiber resulted in better mechanical properties, durability properties and improved self-healing/repairing efficiency due to the formation of CaCO3. The results also confirmed the presence of calcium carbonate precipitate, which has been analyzed by micro-structural studies viz., SEM and EDS.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-compacting concrete, Bacteria, Fibers, Fly ash, GGBS, Silica fume, Strength, Durability, SEM, EDS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Language is a complex interconnection of identities, beliefs and social and cultural behaviour of individuals. India being a multicultural and multilingual country presents a potpourri of hundreds of languages and regional dialects that unfortunately do not possess great stature on the linguistic map of India. Indigenous languages faced more terrible fate during British colonization and colonial standardization. The same phenomenon was seen among the Indian migrants sent as indentured labourers to Mauritius. This paper investigates the role of language use in the postcolonial context of Mauritius in the modern context of standardization of language. It also focuses on the role of native language planning in the multilingual communities in Mauritius.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Language, multiculturalism, postcolonial, identity, migration, indenture

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An aortic aneurysm is excessive localized swelling of the wall of an artery which means balloon-like-bulge in the aorta that can dissect or rupture. Aorta is the largest artery that carries oxygen rich blood away from heart to blood vessels, reaching the rest of the body. This is more common in men than women, with prevalence rates estimated at 1.3-8.9% in men and 1.0-2- 2% in women. This will be extremely rare in babies, very rarely between age 3-18, in young adults between 19-40 ages rarely affected, adults above 41-60 ages commonly affected, above 60 are quite common. In India 10 million people are affected by aortic aneurysm. According to 2019 statistics aortic aneurysm was the cause of 9,904 deaths. About 59% of deaths due to aortic aneurysm happen among men. Aortic aneurysm treated in two ways by medications and surgery. Medicines can reduce risk by lowering blood pressure. Surgery for repair or to replace the affected section of aorta. The challenges after taking medicines like cocaine and methamphetamine have deleterious effects on cerebrovascular, leading to increased risk for aneurysm formation and rupture. The complications of surgery are bleeding during or after surgery, hemorrhage, acute renal failure, ischemic colitis, aorta-canal and aorta-enteric fiesta. For avoiding such risk factors, having nutraceuticals can reduce the risk of challenges. Nutraceuticals contain nutrition required for health and pharmaceuticals remedy for sickness/injury. It includes nutraceuticals like vitamin rich components (vit K, B6, B12, C, D), flavonoids, n-fatty acids, soya products, nuts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aortic aneurysm, Nutraceuticals, Dietary supplements, therapeutic outcomes, Vitamins, n-fatty acids.

  License

Creative Commons Attribution 4.0 and The Open Definition