Volume 11 | Issue 1

 Abstract

A piston is one of the most important parts of an internal combustion engine. This part supports the combustion pressure of the gas in the cylinder. They are generally made of cast iron, which can withstand pressure. Recently, aluminum alloy is used for weight reduction. Since the top surface of the piston needs to support the load, it is recommended to cover it with a coating material. Ceramic coatings are increasingly used for protection between various engine parts to increase wear resistance, reduce friction and improve heat shielding. In this work, the pistons were designed with the software CATIA. The complete design was imported into ANSYS software and analyzed. Thermal analysis of the piston was performed by choosing an aluminum alloy as the piston material and coating it with different coating materials such as silicon carbide, titanium carbide and magnesium zirconium to a thickness of 1 mm. It was observed that the temperature of the coated piston crown was higher than that of the uncoated piston, and that the temperature also increased with increasing coating thickness. Results were presented in tabular form and compared to find the most suitable design.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IC engine piston, ANYSY & ceramic coating.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Indian president was formed as the head of state and supreme commander of the Indian armed forces while the Indian Constitution was being written. Despite the fact that Article 53 of the Indian Constitution states that the President may exercise his powers directly or by subordinate authority, with a few notable exceptions, all executive powers granted to the President are actually exercised by the Prime Minister, a subordinate authority, with the help of the Council of Ministers. The President is the nominal executive or a constitutional ruler under the Indian Republic's legislative system

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

President of India, President, head of the state, supreme commander, Indian constitution, Dr Ambedkar

  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

Model Education Loan Scheme, higher education schemes, skilled manpower, nation's economic development

  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

Index Terms: Wildlife Protection, Cruelty against Wild Animals, Legal Personality, Universal Declaration of Animal Rights, 1978, Freedoms to Animals.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Algal bioremediation is considered as an efficient and environmentally safe technology for inexpensive decontamination of polluted systems. Water is the most important resource for mankind existence and development. Therefore, maintaining the water to a high quality is crucial. Nowadays, the focus has shifted to the use of microalgal cultures, as an interesting step for wastewater treatments, which can improve the treatment process in order to get clean and healthy water. In the present study, seaweeds such as Caulerpa racemosa(Green algae), Padina gymnospora (Brown algae) and Acanthophora spicifera (Red algae) were used for the phycoremediation of sewage waste water in which Caulerpa racemosa played an important role of phycoremediation compared to other selected seaweeds. Caulerpa racemosa showed better effect in the reduction of BOD, COD, chloride content and removal of iron, chromium, copper (43.3%) in the waste water using the immobilized form of seaweeds in foam and agar method.The present investigation of phycoremediation was considered as an efficient and environmentally safe technology for inexpensive decontamination of polluted system to face the environmental challenge.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Seaweeds, bioremediation, phycoremediation, Caulerpa racemosa

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: It is a difficult element for physicians of diagnosing problems even rising technology, in skin ailment symptoms. Most humans are uncovered to serious pores and skin ailments that require them to go to hospitals and go via quite a few distinctive high priced clinical examinations which take up to days. The proposed work can clear up the above hassle to an approachable extent, thru the graph of software by means of Python Machine Learning. An approach is based totally on vectors and pixels classification of the images, and is proposed to discover the 3 quite a number kind of pores and skin diseases: The ailments are particularly Melanoma, seborrheic keratosis and Nevus. It is a manner to become aware of the kind of sickness in simply a few seconds, making the prognosis extra quickly and realistic. These undertaking goals to classify the specific illnesses based totally on photographs given as input. The challenge is in simple terms primarily based on a python software program platform. Here the proposed approach is ply of Machine Learning with the tensor goes with the flow for educating raw data and CNN Algorithm to classify the 3 sorts of pores and skin ailments in Python application. These kind of illnesses like Melanoma, seborrheic keratosis and Nevus can be recognized and indicates the output as the identity of the ailment in python Software as output.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN, Python, Machine Learning, vector 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

Adaptation, Bollywood, Bhardwaj, Kashmir, Shakespeare, Haider.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease with the most impact on the quality of life (QoL) and functional mobility. Objective: To evaluate the quality of life and to determine functional mobility among type 2 diabetic patients. Methedology:40 people with type 2 diabetes participated in a cross-sectional study, the outcome measures from the Short form -36 questionnaire were used to assess the quality of life, and Time Up and Go Test was used to evaluate functional mobility.e Result: Out of 40 patients 28 were male and 12 were female. The study suggested the quality of life score was found to be 72.1% in type 2 diabetic patients and other outcome timed up and go test score was found to be 25% of patients under < 10s were completely independent, 60% of patients under < 20s were independent for primary transfer, and 15%under > the 30s was required assistance. Conclusion: It was concluded from the results that quality of life and functional mobility affected type 2 diabetes patients.

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

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bahamani, Military Technology, Daulatabad, Yadava period, Deccan, Religious

  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

Canny Edge detection, Image Processing & Digital Image, Digital, X-Ray, VR, Knee Arthroplasty, Google Cardboard

  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

Differential Power Processing (DPP), Photovoltaic (PV), Switched Capacitor Inductor (SCL), Partial Shading, Bypass Diode.

  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

The Namesake, Gogol, Hybridity, Migrants, Twin Culture

  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

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