Volume 9 | Issue 6 |

 Abstract

There are plenty of different types of Indian delicacies available with the same ingredients. In India, traditional recipes are varied due to the locally available spices, vegetables, fruits & herbs. In this paper, we purposed a way that recommends Indian recipes based on readily available ingredients and popular dishes. In this task, we perform a web search to create a collection of recipe types and apply a content-based approach to machine learning to recommend recipes. This system provides Indian food recommendations based on ingredients

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 Keywords

Machine Learning, content-based, bag-of words, NLP, Indian cuisine, Web scraping, Recommendation System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Roads play a very vital role in the economic and social development of any place. Present days without transport, we cannot imagine our daily life. Present-day life is completely dependent on transportation that helps to move people and things from one place to another. Roads are important not only from a social-economic point of view but also from a strategic point of view. Road construction in the hilly region is a difficult task, due to the geographical location and geological setting of the Himalayan mountainous region. Therefore, uncontrolled construction cannot be permissible. If we ignore the geographical and environmental perspective of the hilly region for construction then it can be a major cause of landslides leading towards disasters. One-line roads are useful for the economic development of any place; road widening must be avoided and by the government until and unless not necessary for the security purposes or specific area development of any part of this sensitive domain.

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 Keywords

Road widening, geographical location, landslides, Himalayan.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this project the learning of destructive and non-destructive test on actual specimen. The destructive test taken on cube, cylinder and beam. The non-destructive test reserved on cube, cylinder and beam. Subsequently the non-destructive test achieve the correct outcome of the concrete strength. Latest contemporary non-destructive tests are used in manufacturing, fabrication and in service assessments to confirm product veracity and consistency, to control manufacturing developments, inferior manufacture charges and to maintain unvarying quality level. During construction, NDT is used to confirm the quality of ingredients and joining processes through the fabrication and assembly phases, and in service NDT examinations are used to ensure that the products in use continue to take veracity necessary to ensure their worth and the security of the community. The greatest shared non-destructive testing (NDT) methods of concrete structures as applied by the structural engineering industry. The prerequisites of NDT methods are discovered in regards to their potential, restrictions, examination techniques and clarifications.

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 Keywords

Non-destructive and Destructive test

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The dielectric parameters have been determined for mixture of lorazepam-methanol with various concentrations in the frequency range of 10MHz to 50MHz at temperature of 283 K by time domain reflectometry (TDR). The static permittivity and relaxation time have been used to obtain the excess permittivity, excess inverse relaxation time, Bruggeman factor, Kirkwood factor and thermodynamic parameters. A variation of dielectric constant and relaxation time, with volume fraction of lorazepam confirms structural formation due to the intermolecular interaction between lorazepam and methanol. The variation of different factors for different mole fraction of lorazepam in the binary mixture reported in the paper.

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 Keywords

Dielectric parameters, Lorazepam, Methanol, Time Domain Reflectometry, Bruggeman factor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In 20th century after industrial revolution, we face enormous effects of pollution on environment. And due to advance technology pollution is increasing drastically. plastic waste is one of the serious and large problem in pollution because plastic is not easy to decompose and remains for long period in environment. for cure this issue we use plastic as a binder material for road construction by decreasing some percentage of bitumen. when the plastic waste mixed with bitumen it increases strength and durability. It helps to improve environment condition and road life span. .

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 Keywords

Aggregates, Bitumen , Waste Plastic , Bitumen replacement.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Radar applications require waveform sequences with maximum autocorrelation and minimum cross correlation. Attaining such waveform sequences is a complex multivariable problem. So the tricky of waveform design stated above is a thought-provoking problem. Several global optimization algorithms like ant-colony algorithm, tunneling algorithm, genetic algorithm, bat algorithm, were stated in the literature for solving the problem of waveform design. The paper targets at the design of optimal set of Binary Sequences using hybrid Particle Swarm Optimization Algorithm which makes use of Hamming Scan Algorithm for Mutation. The main advantage of HSA Algorithm is it enhances the search space of PSO, thereby preventing the local optimum trapping of PSO. The synthesized Binary Sequences using Hybrid PSO have improved autocorrelation properties than standard PSO.

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Creative Commons Attribution 4.0 and The Open Definition

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Weather Prediction is for the most part worried about the forecast of climate condition in the given future time. Weather prediction give basic data about future climate. Predicting the weather is fundamental to help planning generally advantageous and the most exceedingly terrible atmosphere. Here K-Means Clustering algorithms is used to identify the variation in the weather condition in terms of Temperature, Humidity, Wind Speed, Pressure and Weather. Weather predictions are significant for arranging our everyday exercises. Farmers need data to enable them to anticipate the planting and gathering of their yields. Prediction of weather condition is essential for various applications like Agricultural,Industry,Air Traffic, Marine, Forestry,Army and navy etc

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 Keywords

Weather, k-means, clustering, Prediction,

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 Abstract

Currently, the differential function has been widely used in transformer protection relay. However, the main issue of this technique is assigned to the relay mis operation during the presence of inrush currents and current transformer (CT) saturation. In the literature, these limitations have been overcome with the use of tools based on artificial intelligence and signal processing, such as the methods based on artificial neural networks and wavelet transform. This paper proposes a method based the ANNs and wavelet transform to detect and classify disturbance in the power transformer accurately. The algorithm uses wavelet based disturbance detector in order to detect any disturbance related to a power transformer, whereas a neural network based routine is used to classify the disturbance type (internal fault, external fault and transformer energization) appropriately, as well as to classify the internal faults. Several events were simulated, such as external and internal faults, with variations of fault resistance, fault inception angle, and fault type parameters, as well as transformer energizations. The method presented an excellent success rate regarding the correct classification of the disturbance as well as an accurate fault classification.

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 Keywords

Artificial neural networks (ANNs), current transformer saturation, differential protection, power transformers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gloves, Hand Gesture, Umpiring

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tryptophan, sleep pattern, lockdown, COVID-19, stress, protein intake

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Creative Commons Attribution 4.0 and The Open Definition