Volume 8 | Issue 6 |

 Abstract

We have always enthusiastic to the trending technologies and also future science.However we should also known to the fact that earth is formed about4.5 years billion years ago and first well equipped and brain develop man appeared 35000 years ago,But the journey from earth formed to now a days need statistical and probability distribution to store data and predict the things,opinion and many more.We are living in 21st Century,In which Human are very close to various devices, mobiles, laptops, tabs and other gadgets which generate huge volume of data and Microservices based web applications running on these have made it simpler for us to get any kind of data at any time and from any place daily. Social media platforms are also used for expressing our opinions for the products and services. In this paper, an open source approach is presented which we have collected and stored tweets from Twitter API and then pre-processed, analyzed,processed and visualized these tweets using R programming. To interpret sentiments of tweets we are utilizing a statistical tool, R programming. This sentiment analysis is based on text data retrieval from streamed web and then classifying human perspectives in eight distinct classifications of feeling (dislike, fear, anger, indication, sadness, trust,happy) and two unique sentiments (positive and negative). We present a new promotion vector for catalogue the tweets as positive, negative and extract human�s opinion about products.

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 Keywords

Sentiment Analysis, Twitter, Statistical Data

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Concrete is a common material used in the building industry. It is obtained by mixing cementitious materials, water, fine and coarse aggregates and sometimes admixtures in required proportions. Admixtures are added to concrete to modify its properties so as to make it more suitable for any situation. The aim of this research is to study the strength and durability index of concrete using mineral admixture of C30 grade concrete. The objective of this study is to investigate the effect of Mineral Admixture (Silica Fume) on the strength of concrete produced from cement (OPC). From previous studies it is observed that Silica Fume increases the strength of concrete, so this study has been conducted to know the effect of Silica Fume as an admixture on the compressive strength of concrete produced from cement (OPC). It also reflects the impact of adding admixture on the compressive strength and durability characteristics of concrete. Twelve cubes were cast in mould with dimension 150mm x 150mm x 150mm. 12 cylindrical samples were cast in mould of dimension 100mm diameter and 50mm height for testing C30 grade concrete. Silica Fume was replaced in the following proportions (5%, 10% and 15%) by weight of cement while mixing concrete and cured for 28 days in water. It is found that the optimum replacement of Silica Fume is 10% which gives the maximum compressive strength. Moreover sorpitivity tests on cylindrical sample shows that the durability index of concrete is within the acceptable range.

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 Keywords

Compressive strength, Durability index, Silica Fume, Sorpitivity, Optimum replacement

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper intends to focus on the problematics of translation in relation to the concept of gender. The process of translation is an activity, apparently a secondary evolution where the text from the source language is transferred to a target language. But, so far as, the applicability is concerned, it involves various other aspects apart from language such as, cultures, ideas, context, etc. Translation has always been understood and depicted as a derivative evolved from a different root, a cognate, a subordinate entity and thus, has received the feminine treatment. Therefore, the original text holding the masculine identity has been considered superior whereas the translation stands as an ancillary and a subservient to the original text. This particular article attempts to discuss and unpack translation as a creative process, rather than a secondary dependent activity.

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 Keywords

gender, translation, power-relation, feminine, creativity, lop-sided

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the absurd situations such as lockdown or due to some urgency, busy schedule etc. Most people do not go for regular medical checkups. Even if they have certain health problems such as coughing, runny nose etc. on regular intervals they still do not prefer referring a doctor. Keeping in mind the gap between the doctors and patients, and the ability of AI to take human comparable decisions, An Application that can diagnose a person�s disease based on his/her symptoms, external doctors online feedback and consultancy, and fairly accurate Machine Learning algorithms is thought of a first step to bridge the gap between the people and the health services. Diagnosis process like many other processes is ready to be digitalized and this will all be possible because of digital system�s ability to learn using dataset, and when this process of machine learning along with a large dataset of limited diseases is used, it becomes practical to have a diagnosis without any doctor involved. And so this research paper contains the prerequisites, techniques and the past researches in this field to explain the idea and its feasibility in the practical world. This research paper also contains the working technologies of essential components of the application such as its AI engine, APIs, database, middle layers, UI, etc. Along with their most suitable form of implementation in the application, e.g.: Apache server could be used instead of SQL server that is being used but it would have required an additional middleware technology such as PHP or Java.

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 Keywords

AI (Artificial Intelligence), API (Application Programming Interface), UI (User Interface), SQL (Structured Query Language).

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Traditional knowledge is a knowledge which is passed on from generation to generation in a particular community. The knowledge, skill or know how is not known by people outside that particular community. Thereby it becomes an essential form of intellectual property and requires measures to keep it protected. Traditional knowledge are age old practices or methods which have been practiced through generations and hence a special degree of care has to be ensured to make sure that it sustains the winds of time. It is often observed on multiple occasions that they fail to survive the withering of time due to lack of protection and hence are easily infringed or due to lack of economic gain people tend to move away from it as earning day to day essentials is more important for survival. Internationally several measures have been taken to ensure protection of traditional knowledge but in India no such substantial step have been taken. The only effective step in this direction was the formulation of the Traditional Knowledge Digital Library. However, no specific legislation is in place for the protection of Tradition Knowledge. The paper would deal with the consequences of lack of protection of traditional knowledge and the possible ways to protect it. The paper would also focus on the fact that how existing IPR laws in India are not sufficient in ensuring the protection of traditional knowledge, hence the enactment of a separate legislation for protecting traditional knowledge is essential.

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 Keywords

Traditional Knowledge, Legislation, Protection, IPR, TKDL.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Retail is the selling of goods and services to the consumers in small portions to the public for their own use. A retailer is someone who cuts off or sheds a little piece from something. Retailing comprises of business activities involved with clearance of enterprises and products from purchasers directly for their personnel, family and household use. Below are the four components of retailing. Indian retail industries appear to be one of the most leading retail industries moreover there are well known several new players from western countries such as Wal-Mart, IKEA, Tesco, Lifestyle and Pantaloons. In India retail Industries are required to rise 25% yearly being driven by strong pay advancement, developing lifestyles, and great Demographic models. Indian retail industry is the greatest industry in India, with employment of around 8% and adding to over 10% of the country's GDP. Big Bazaar being one of the most comprehensive retail industries in India that provides goods and services such as fashion and apparels, general merchandise, electronics, fast foods, food products, leisure and entertainment section. Among all the products that are mentioned, FMCG is mainly focused as part of my case study. Fast Moving Customer Goods (FMCG) these are short termed products that are sold immediately at a lower rate cost and are unsustainable goods such as packaged beverages, candies, groceries, baked goods, toiletries and cosmetics.

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 Keywords

EVALUATION ON FACTORS AFFECTING FAST MOVING CUSTOMER GOODS AT BIG BAZAAR.

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Fingerprint Based ATM is a web based application where fingerprint of the user is used as an authentication. The finger print minutiae feature is unique for each human being so the user can be identified uniquely. Instead of using ATM card PIN number Fingerprint based ATM is safer and secure. There is no worry of losing ATM card and no need to memorize ATM card PIN number. The customer has to login using his fingerprint in order to do further transaction where the IOT is been used for identifying the finger print using mapping segmentation in Gaussian Smoothing Algorithm of the user from the multiple user. The customer can withdraw cash from his personal account. Customer can transfer cash to various accounts by mentioning account number. In arrange to withdraw cash user has to go through the amount he desire to withdraw and has to talk about from which account he desire to withdraw (i.e. saving account, current account) .The consumer must have suitable balance in his ATM account to do transaction.

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 Keywords

Fingerprint based ATM Gaussian Smoothing Algorithm, PIN

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Creative Commons Attribution 4.0 and The Open Definition

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UV radiation is the major environmental factor that causes photoageing which induces excitation of Matrix Metalloproteinases (MMPs) in skin and disturbing the balance between MMPs and their inhibitors in our body which results in collagen degradation and therefore, wrinkle formation. To reduce the oxidation reactions induced by photoageing, phytochemicals having antioxidant properties are studied and best phytochemical showing higher binding affinity towards the MMPs were selected using molecular docking approach. Literature survey was done on 100 plants effective against wrinkles out of which 30 common phytochemicals were selected showing antioxidant properties. These selected phytochemicals were further targeted against nine types of MMPs responsible for wrinkled formation using molecular docking approach. Further proteins optimization was carried out in GROMACS software to enable successful docking. The docking analysis was performed using PyRx tool and docked structures were visualized using Discovery Studio 4.1 Visualizer. It was assumed on basis of docking score that beta carotene, rutin and luteolin showed highest binding affinity with the target protein. The present study of docking analysis showed the difference in binding affinities among the various protein-ligand complexes. The common binding residues were selected which could be used as potential targets for further study against ageing.

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 Keywords

Skin, Photoageing, MMPs, Antioxidants, Molecular Docking, GROMACS, PyRx, Discovery Studio.

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Creative Commons Attribution 4.0 and The Open Definition

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A Supervised machine learning system is to classify network traffic whether it is malicious or benign. To find the best model considering detection success rate, combination of supervised learning algorithm and feature selection method have been used. Through this study, it is found that Artificial Neural Network (ANN) based machine learning with wrapper feature selection outperform support vector machine (SVM) technique while classifying network traffic. To evaluate the performance, NSL-KDD dataset is used to classify network traffic using SVM and ANN supervised machine learning techniques. Comparative study shows that the proposed model is efficient than other existing models with respect to intrusion detection success rate. Specially at present technology playing major role so we need to move forward with our upgrading mindset

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 Keywords

SVM, ANN, NSL-KDD.

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Creative Commons Attribution 4.0 and The Open Definition

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Songs have been the most important part of Sanskrit drama. The pierian spring of human being is innate but this emotional expression got its final shape in the form of songs mainly during the Vedic era. With the passage of time and situation the role of songs were also changed. In most of the Sanskrit drama, after the worship of the eternal power and the preceptor for successful completion of the play, the anchor invites the actress to perform and sing for the entertainment of the audiences and spectators. Sanskrit drama songs and music always played an important and internal role with emotional appeals, which may varied from drama to drama. The impacts of Sanskrit drama songs on the 19th century Bengali drama are as deep as the overall inspirational impact and legacies of Sanskrit drama towards the 19th century Bengali drama. In the initial stage, lack of proper training was the major drawback of the songs used in Bengali drama. Very intensive and significant use of songs can be observed in different famous dramas. It may be termed as the impact of Sanskrit drama songs on its legatee.

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 Keywords

Drama Song, Sanskrit drama, �H?riv?ns?�, G?ndh?rv?, 19th century Bengali Drama

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Creative Commons Attribution 4.0 and The Open Definition