Volume 9 | Issue 4 |

 Abstract

Intelligent Decision Analytical System requires combination of decision exploration and prediction. The greater part of the business associations intensely rely upon an information base also, request expectation of deals patterns. The precision in deals figure gives a major effect in business. Pattern Analytical System and Data Mining techniques are powerful tools that helps in removing covered up information from a huge dataset to upgrade exactness and productivity of estimating. Traditional prediction frameworks are hard to manage the enormous information and exactness of sales measure. Valuable metals like diamonds and gold are sought after because of their financial prizes. In this manner, different methods are commonly utilized to estimate costs of jewels and valuable metals with the point of quick and precise outcomes. The costs vacillate day by day making it hard to predict the next future worth. Subsequently, by analyzing the example of past costs we can apply relapse models for future expectation. This paper targets forecasting the future costs of valuable metals like diamond, utilizing various machine learning techniques, intending to get the most precise consequence of all. Group models are utilized for expanding the exactness of costs.

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 Keywords

achine Learning, Prediction, Data Mining, Analytics, Estimation, Pattern.

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Creative Commons Attribution 4.0 and The Open Definition

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Solanum tuberosum belonging to family Solanaceae is one of the most widely consumed vegetable food in the world. This special fruit vegetable is known to contain many nutritional benefits for its consumption. The fruit is commonly called to be a potato. However, in recent years the fruit is often used in many cooking receipe. Many a time the fruit is peeled off during a cooking process. While many literature surveys projects on the importance of the potato peel enriched in nutritional benefits for its consumption. The current research experiment is carried out to study the nutritional importance of the potato peel. The research experimentation carried out for assessing of nutritional elements such as Protein, carbohydrate, fats, fibres, ash and moisture gives successful results in terms of its richness beneficial for the health if consumed rather discarding it during cooking time.

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 Keywords

nutritional importance, potato peel, Solanum tuberosum.

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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

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Creative Commons Attribution 4.0 and The Open Definition

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Currently, this is the time where the world is moving towards innovation and, considering this every company is trying to develop their production rate to compete with this era of growing technology. In Older days there were many issues for finding an appropriate person for doing a skillful task, who can handle all machinery as well as sort the final product. Due to this, the production rate was very slow as compared to the current situation. Anyway, handling the final product and sorting issues are generally affecting the production rate and revenue of the business because of more sorting time. A huge number of large-scale and small-scale companies follow the old pattern of sorting of an end product. Considering ancient techniques for sorting of final product consist various of issues subsequently "Object Sorting Robotic Arm " is an efficient way to get a solution of this issue. This technique provides a low-cost methodology for quick and faster sorting and detection of products that continuously take place. The sorting of products with an automated system is an appropriate technique to improve the current technique of sorting end products. The system consists of four interconnected halts which include recognizing an object, handling of product, decision making, and placing the product at the designated place. The System manages a programmed material dealing with end products. It points to grouping similar objects by color and shape, that are drawing close to the transport by choosing an appropriate article and placing it in its pre-customized place. Consequently halting the work done by humans and accomplishing precision and speed inside the work.

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 Keywords

shape, color, object, robotic arm, categorizing, segregate, conveyor belt.

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Whey is concentrated to produce different types of whey protein products such as whey protein concentrates (WPC) .Whey proteins contain protein contents from 25- 89% and contains 162 amino acid residues consisting of the nine essential amino acids primarily consisting of ?- lactoglobulin (BLG), ?-lactalbumin (?-LA), bovine serum albumin (BSA) immunoglobulins . Lipid found in WPC is highly enriched in phospholipids. As the concentration of protein in WPC expands, the lactose concentration diminishes. The temperature is inversely proportional to the solubility of whey protein. The sodium caseinate present in it is proficient in absorbing water Whereas the gel formation occurs after the unfolding of the protein chains. The nutritional effect of addition of whey protein concentrate include the rise in the amount of proteins, carbohydrates and minerals whereas the fats and moisture content is found to be decreased. The total plate count and fungal count was found within the limit during microbiological evaluation . the aim of this paper is to study the effect of addition of WPC on the cookies and its possible application in the bakery industry.

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Whey protein concentrates

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine Learning algorithms play very crucial role in decision automation process of Artificial Intelligent systems. Machine Learning algorithms learn from the hidden structures present inside the data without the need of any traditional programming. Many advanced algorithms are developed for Machine Learning to handle complex datasets. These algorithms provide better performance but require huge amount of training time. This requirement of huge training time is manageable in Supervised and Unsupervised Machine Learning algorithms as their models are trained before deploying them into application. But, in Reinforcement learning, the effect of huge training time is very significant problem as their models are trained after deploying them into application environment. To solve this problem, new Reinforcement algorithms with controlled complexity need to be developed without compromising the performance of the model. This paper aims at four new Reinforcement Learning algorithms with controlled complexity to reduce the training time. The proposing algorithms are developed using MATLAB software and validated by employing them for automated parameter tuning in image denoising technique using Double Density Dual-tree Discrete Wavelet Transform. These proposing algorithms are compared against standard Markov Decision Process based Reinforcement Algorithm in terms of model accuracy and model training times

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 Keywords

Complexity Controlled Learning, Double Density Dual-tree Discrete Wavelet Transform, Intelligent parameter tuning, Hybrid Thresholding, Segmented Recursive Reinforcement Learning, Segmented Adaptive Reinforcement Learning

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This paper accentuates on various types of students, especially specially abled students and normal students. Among adolescents some students are rebelliousness and experimentations are common. However, a few students repeatedly participate in problematic behaviours that affects their academic, personal and social functioning. This concept is in harmony with the modern democratic ideas which seek finest development by providing suitable educational amenities to all students. Special issues which are related to specially abled students and normal students are discussed in this paper. This study aims to find out difference among specially abled students and normal students in relation to emotional maturity. The normative survey method was used to compare the Emotional Maturity of specially abled students and normal students. The present study was conducted with 50 students (25 specially abled students and 25 normal students) measured by using emotional maturity scale developed by Dr. Mahesh Bhargava and Dr. Yashveer singh. On the basis of analysis and interpretation of data, it is concluded that normal students have higher emotional maturity than the specially abled students.

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Emotional Maturity, Specially abled students, Normal students

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Raspberry pi, Internet of things, surveillance, security and patrol.

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Creative Commons Attribution 4.0 and The Open Definition

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Coronavirus or Covid-19 has affected the health of almost every corner of the people around the world and took away the lives of people worldwide without showing any partiality either to the rich or poor people. The pandemic which has started in the wet market of Wuhan, China, gave rise and spread like a wild blaze to different ends of the earth not just affecting the health of the public, but also affecting the social, political, and most importantly on the economy of every country of the world. This paper examines to write specifically on how this deadly virus progressed slowly into the whole of the land and suddenly wrecked the economy which was contributed by the Tourism industry in Meghalaya, India, which is known as one of the most famous tourist states in the lands of North East India and how the socio-economic life of the people who generated their income from tourism sectors has affected by this pandemic.

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 Keywords

Corona virus, Tourism Industry, Meghalaya, Lockdown, Indian Tourism

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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

Democracy, Translation, Cognitive Translation, Pandemic.

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Creative Commons Attribution 4.0 and The Open Definition