How Artificial Intelligence is Impacting Manufacturing Industry
Deepak Srinivasan, Maitreyi Ramesh Swaroop, Balaji Rajaram and Sri Krishna Iyer

Abstract
In this survey, we study the impact of Artificial Intelligence (AI) on manufacturing sector. AI methods can be utilized to make new thoughts several ways: by delivering novel mixes of well-known thoughts; by investigating the capability of theoretical spaces; and by making changes that empower the era of unexplored thoughts. AI will have less trouble in displaying the era of new thoughts than in automating their assessment. We describe the advances that have been made on AI in manufacturing industry. We close with how to overcome the issues in this area.
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Centralized Large Data Set Storage System with File Classification Technique
B.Venkateswarlu, S. Kusuma Madhuri

Abstract
To furnish effective rules determining the format and transmission for securing and privatizing k-Nearest Neighbor (k-NN) search, when the data is dealt between individual parties who want to cooperatively figure out the answers without disclosing either of their individual data. To develop the k nearest neighbors (KNN) from one dataset, of each and every detail in other dataset, the special and multimedia databases are useful tools in the k-NN join. K-NN can be applied for both classification and regression predictive problems. Nevertheless, it is more widely used in classification problems as per the industry. To verify any technique we usually look at three important aspects repose to read output, Calculation time, Prognostic Power. We give a k-NN concealment model for saving the privacy of the patients in a cloud based e-healthcare system as the sensitive information is needed to be sustained in a confidential manner and not to be exposed to public users other than the medicos. However, collection of data’s are used for classification might have sensitive data, directly outsourcing them to any Distributed servers inevitably raise privacy concerns. The proposal of a practical concealment K-Nearest Neighbor classification scheme over bulk datasets using map reduce technique that can be efficaciously outsourced to HDFS servers is enforced.
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A Review of Different Video Watermarking Techniques
Amarjeet Kaur

Abstract
Digitalization has made our life easier and fast but has also brought some drawbacks along. Digitalization helps in transferring documents, graphics; multimedia files just with a single click but this data is copied very easily and multiple copies are made and distributed without the knowledge of owner of the data. There are many applications of video are available such as DVD, video conferencing, video on demand and high definition TV. These applications are prone to illegal tampering, altering and forging. Some techniques like cryptography and encryption only provides security during the transmission of data but is unable to check illegal copying and distribution. Due to which the need for digital watermarking arises. Digital watermarking is a way of inserting a digital signal into a digital document like text, graphic or multimedia. The signal inserted is called digital watermark and carries information unique to the copyright owner. Video watermarking is the extension of digital watermarking concept. In this paper I am focusing on the review of various video watermarking techniques. Video watermarking has different challenges from image watermarking due to the presence of frames with high level of redundancy. Video data is prone to attacks such as content modification, cropping, frame averaging, frame dropping and frame swapping. I had reviewed video watermarking techniques and try to conclude, which one is the best suitable video watermarking technique.
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Why GST for India: The Study on Success, Challenges and Impact
Aminul Islam, Mijarul Islam

Abstract
Purpose – This study aims to focus on the challenges of the goods and service tax, what’s kind of impact will affect in our economy after the implement of the GST and success on different area which is affected by the GST after implementation. The study also aims to focus on India, the largest national economy in Asia, because relatively few studies examine why GST for India.
Design/methodology/approach – The primary means of gathering data is a country base survey. More than 150 counters followed the unique tax (i.e. GST) which had a positive effect on that country’s economy.
Findings – The evidence shows that view the most important determinants of GST as the stability of earnings and the level of current and expected future earnings of the country. The study also conclude on the believed that the effects of GST on GDP and needs of current and important determinants. The evidence shows that the GST of our economy perceived that new tax policy affects economic value.
Practical implications – The evidence suggests that no universal set of factors is likely to be applicable for our economy when setting new tax policy.
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