Volume 6 | Issue 1 |

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Accuracy, Prediction algorithms, Training, Partitioning algorithms, Stability criteria, Estimation, Redundancy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cryptography, Security Algorithm, Symmetric, Asymmetric, RSA, RC6, AES, 3DES, MD5

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

People in the world connected together and share their opinions, massages, comments, through social networks like facebook, whatsapp, twitter, linked in, Youtube. Mostly these are microbloggings and comments that are from youtube videos which allows limited number of words to post and there is no limit in reading the posts. Social networks have millions of active users per day, to discuss and share their opinions on currents news and events that are happening. So this is the best platform to predict the opinions of the public in terms of sentiment analysis. This analysis can give positive and negative opinions of the public, the scaling of the positive (+1 to +5), negative (-1 to -5) and neutral (0) and also emotions. In this paper predicting the sentiment analysis on youtube comments are by using some machine learning techniques and methods in R language. This sentiment analysis can give the decision making for the current events, markets, government policies and products.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment analysis, NLP, polarity, machine learning, youtube comments, twitter tweets

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hash Function, Message Digestion, Digital Signature, LSB Techniques, Embedding And Extraction Technique

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Organizations share their data about customers for exploring potential business avenues. The sharing of data has posed several threats leading to individual identification. Owing to this, privacy preserving data publication has become an important research problem. The main goals of this problem are to preserve privacy of individuals while revealing useful information. An organization may implement and follow its privacy policy. But when two companies share information about a common set of individuals, and if their privacy policies differ, it is likely that there is privacy breach unless there is a common policy. One such solution was proposed for such a scenario, based on k-anonymity and cut-tree method for 2-party data. This paper suggests a simple solution for integrating n-party data using dynamic programming on subsets. The solution is based on thresholds for privacy and in formativeness based on k-anonymity

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Privacy preserving, data mining, k-anonymity, collaborative data publishing, dynamic programming

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud computing is a popular subject across the IT industry, but risks associated with this new technology and delivery model is not yet well understood. The biggest challenge in cloud computing is the security and privacy problems caused by its multi-tenancy nature and the outsourcing of infrastructure, sensitive data and critical applications. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. The boom in cloud computing has brought lots of security challenges for the consumers and service providers. How the end users of cloud computing know that their information i s not having any availability and security issues? In this paper we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing and propose relevant solution directives to strengthen security in the Cloud environment. We also propose secure cloud architecture for organizations to strengthen the security

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Computing; Security and Privacy; Internet based Services, Secure Cloud Architecture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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spring boats

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Creative Commons Attribution 4.0 and The Open Definition

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Magnesium (Mg) and its alloy are potential material for biodegradable implants which makes promising due its mechanical properties. However, corrosion of these metals alloys is too quickly results in losing mechanical integrity. The problem had risen in scientific committee to solve/reduce the corrosion rate and enhance the biocompatibility of the Mg-alloy. In order to reduce the corrosion, surface was modified with the hydroxyapatite (HAp) coating. The synthesis of HAp on Mg-alloy substrate was carried out by an electrodeposition method i.e., chemical deposition. The post treatment of deposited HAp on Mg-alloy with alkali solution which results in electrodeposited calcium hydrogenphosphate coatings into the bone-like hydroxyapatite coatings. Cyclic voltammetry and electrochemical impedance spectroscopy was studied to determine the barrier properties of the HAp coatings. Polarization test in a Hanks' solution was investigated to sense the protectiveness of the coatings, which is critical for better in-service mechanical integrity. The existence of the HAp coating and its morphology on Mg-alloy was verified using Fourier transform infrared spectroscopy (FTIR)

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mg-alloy, hydroxyapatite coating, mechanical integrity, biocompatibility

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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

Antibacterial Potential, Seed kernel of Mimusops elengi L., aqueous-ethanolic extract, Ethanolic extract, Medically significant bacterial strains, Agar well diffusion method and Inhibitory zone.

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Creative Commons Attribution 4.0 and The Open Definition

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The study was carried out to analyze and assess the anti-bacterial affability of Alpinia galangal L.’s (Zingiberaceae) rhizomes. To this study A.galangal’s rhizomic extracts were used. Used solvents to get Aqueous and Ethanolic rhizomic extracts of A. galangal L. were Distilled water and Ethanol. Nutrient Agar Media and Nutrient Agar broth were used. Eight (8) bacterial strains were sued for the anti-bacterial efficacy assay. Most of the bacteria were pathogens. Chosen method was Agar Disc Diffusion method. The aqueous rhizomic extract of A. galangal had potential to inhibit all the chosen bacteria. Same inhibitory zones were appeared against Staphylococcus aureus-2654, Escherichia coli-2831 and Proteus vulgaris-2027. The highest anti-bacterial activity was showed against Klebsiella pneumoniae-2457 by the same extract. Ethanolic rhizomic extract of A. galangal also showed a significant inhibition of the chosen bacteria and same inhibitory zones were formed against Bacillus megaterium-2326, Salmonella typhimurium-2501 and Proteus vulgaris-2027.Throughout the study it was recorded that both Aqueous and Ethanolic extracts of Alpinia galangal’s rhizomes had tremendous potential of anti-bacterial activity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Anti-bacterial activity, rhizomic aqueous extract, Ethanolic extract of rhizome, and zone of inhibition

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Creative Commons Attribution 4.0 and The Open Definition