The purpose of this project is to create and deploy a book recommendation system that will help p... more The purpose of this project is to create and deploy a book recommendation system that will help people to recommend books. Our project is the online system that helps people to get reviews about the books and give recommendations to them. Online recommendation system will also allow the users to give feedback comments that will be analyzed by opinion mining technique so as to imply the true nature of the comment .i .e whether the comment is positive, negative or a neutral one. People then searching for a particular book will be displayed with the top 10(approx.) books on that particular subject based on the reviews and feedbacks given by the earlier people who read the same book.
The exponential growth of the Internet has influenced the purchasing trends of the customers shar... more The exponential growth of the Internet has influenced the purchasing trends of the customers sharply. There is an extraordinary inclination of the customers towards online shopping. Due to the excessive use of online shopping by the customers, there is huge data overload over the World Wide Web. The accretion of e-commerce may be considered as an outcome of the development in the modern technologies. These developments have attracted customers towards online shopping. While looking through online shopping portals, multiple options appear; however picking the best amongst appearing items is not an easy task. The recommendation techniques come into picture to solve these issues and to provide users with best of the available products. In this paper we propose a recommendation technique for books using rank based scoring method. We look for the books on computer science from top Indian Institutions, and scores these recommended books using above method. According to the scores, the books are ranked, and finally we recommend best books on “Artificial Intelligence.” This method may fulfill the requirement of the millions of students and academician who seek for their desired books
With the legerity of the Internet, daily life of a
common man has changed. Rapid growth of the In... more With the legerity of the Internet, daily life of a common man has changed. Rapid growth of the Internet has a diverse effect on the daily life. The influence of the Internet has changed the way we live and even the way we think. The use of Internet for purchasing different products of the daily needs has increased exponentially in recent years. Now customers prefer online shopping for the acquisition of the various products. But the huge e-business portals and increasing online shopping sites make it difficult for the customers to go for a particular product. It is very common practice that a customer wishes to know the perception of other consumers who already have acquired the same product. Therefore we tried to involve the human judgment in recommending the products to the users using implicit user feedback. In this paper we chose few products and their respective ranks arbitrarily taken from previous work. For obtaining user’s purchase activities a vector feedback is taken from the user and on the basis of their feedback products are scored, hence they are again ranked which is supposed to be the user’s ranking. Finally we evaluate the system performance using false negative and false positive rates, which show the effectiveness of the proposed method.
As electroencephalography (EEG) signals contain sensitive personal health information, it is gene... more As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that access to personal health information is limited to properly authorized individuals. In this paper, a chaos-based encryption method is proposed to secure patients' EEG data before transmission over an insecure channel. The proposed method employs a multiplexer to dynamically select between two randomly quantized bitstreams for secure key generation. This method is simulated to encrypt the EEG datasets and the statistical properties such as signal distribution, auto and cross-correlation, power spectral density and the residual deviation of the encrypted/original EEG signals are evaluated. The experimental results verify that the proposed method has high security and is suitable for the protection of sensitive EEG data.
The purpose of this project is to create and deploy a book recommendation system that will help p... more The purpose of this project is to create and deploy a book recommendation system that will help people to recommend books. Our project is the online system that helps people to get reviews about the books and give recommendations to them. Online recommendation system will also allow the users to give feedback comments that will be analyzed by opinion mining technique so as to imply the true nature of the comment .i .e whether the comment is positive, negative or a neutral one. People then searching for a particular book will be displayed with the top 10(approx.) books on that particular subject based on the reviews and feedbacks given by the earlier people who read the same book.
The exponential growth of the Internet has influenced the purchasing trends of the customers shar... more The exponential growth of the Internet has influenced the purchasing trends of the customers sharply. There is an extraordinary inclination of the customers towards online shopping. Due to the excessive use of online shopping by the customers, there is huge data overload over the World Wide Web. The accretion of e-commerce may be considered as an outcome of the development in the modern technologies. These developments have attracted customers towards online shopping. While looking through online shopping portals, multiple options appear; however picking the best amongst appearing items is not an easy task. The recommendation techniques come into picture to solve these issues and to provide users with best of the available products. In this paper we propose a recommendation technique for books using rank based scoring method. We look for the books on computer science from top Indian Institutions, and scores these recommended books using above method. According to the scores, the books are ranked, and finally we recommend best books on “Artificial Intelligence.” This method may fulfill the requirement of the millions of students and academician who seek for their desired books
With the legerity of the Internet, daily life of a
common man has changed. Rapid growth of the In... more With the legerity of the Internet, daily life of a common man has changed. Rapid growth of the Internet has a diverse effect on the daily life. The influence of the Internet has changed the way we live and even the way we think. The use of Internet for purchasing different products of the daily needs has increased exponentially in recent years. Now customers prefer online shopping for the acquisition of the various products. But the huge e-business portals and increasing online shopping sites make it difficult for the customers to go for a particular product. It is very common practice that a customer wishes to know the perception of other consumers who already have acquired the same product. Therefore we tried to involve the human judgment in recommending the products to the users using implicit user feedback. In this paper we chose few products and their respective ranks arbitrarily taken from previous work. For obtaining user’s purchase activities a vector feedback is taken from the user and on the basis of their feedback products are scored, hence they are again ranked which is supposed to be the user’s ranking. Finally we evaluate the system performance using false negative and false positive rates, which show the effectiveness of the proposed method.
As electroencephalography (EEG) signals contain sensitive personal health information, it is gene... more As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that access to personal health information is limited to properly authorized individuals. In this paper, a chaos-based encryption method is proposed to secure patients' EEG data before transmission over an insecure channel. The proposed method employs a multiplexer to dynamically select between two randomly quantized bitstreams for secure key generation. This method is simulated to encrypt the EEG datasets and the statistical properties such as signal distribution, auto and cross-correlation, power spectral density and the residual deviation of the encrypted/original EEG signals are evaluated. The experimental results verify that the proposed method has high security and is suitable for the protection of sensitive EEG data.
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Papers by Shahab Sohail
extraordinary inclination of the customers towards online shopping. Due to the excessive use of online shopping by the
customers, there is huge data overload over the World Wide Web. The accretion of e-commerce may be considered as
an outcome of the development in the modern technologies. These developments have attracted customers towards
online shopping. While looking through online shopping portals, multiple options appear; however picking the best amongst
appearing items is not an easy task. The recommendation techniques come into picture to solve these issues and to
provide users with best of the available products. In this paper we propose a recommendation technique for books using rank
based scoring method. We look for the books on computer science from top Indian Institutions, and scores these
recommended books using above method. According to the scores, the books are ranked, and finally we recommend best
books on “Artificial Intelligence.” This method may fulfill the requirement of the millions of students and academician who
seek for their desired books
common man has changed. Rapid growth of the Internet has a
diverse effect on the daily life. The influence of the Internet has
changed the way we live and even the way we think. The use of
Internet for purchasing different products of the daily needs has
increased exponentially in recent years. Now customers prefer
online shopping for the acquisition of the various products. But
the huge e-business portals and increasing online shopping sites
make it difficult for the customers to go for a particular product.
It is very common practice that a customer wishes to know the
perception of other consumers who already have acquired the
same product. Therefore we tried to involve the human judgment
in recommending the products to the users using implicit user
feedback. In this paper we chose few products and their
respective ranks arbitrarily taken from previous work. For
obtaining user’s purchase activities a vector feedback is taken
from the user and on the basis of their feedback products are
scored, hence they are again ranked which is supposed to be the
user’s ranking. Finally we evaluate the system performance using
false negative and false positive rates, which show the
effectiveness of the proposed method.
extraordinary inclination of the customers towards online shopping. Due to the excessive use of online shopping by the
customers, there is huge data overload over the World Wide Web. The accretion of e-commerce may be considered as
an outcome of the development in the modern technologies. These developments have attracted customers towards
online shopping. While looking through online shopping portals, multiple options appear; however picking the best amongst
appearing items is not an easy task. The recommendation techniques come into picture to solve these issues and to
provide users with best of the available products. In this paper we propose a recommendation technique for books using rank
based scoring method. We look for the books on computer science from top Indian Institutions, and scores these
recommended books using above method. According to the scores, the books are ranked, and finally we recommend best
books on “Artificial Intelligence.” This method may fulfill the requirement of the millions of students and academician who
seek for their desired books
common man has changed. Rapid growth of the Internet has a
diverse effect on the daily life. The influence of the Internet has
changed the way we live and even the way we think. The use of
Internet for purchasing different products of the daily needs has
increased exponentially in recent years. Now customers prefer
online shopping for the acquisition of the various products. But
the huge e-business portals and increasing online shopping sites
make it difficult for the customers to go for a particular product.
It is very common practice that a customer wishes to know the
perception of other consumers who already have acquired the
same product. Therefore we tried to involve the human judgment
in recommending the products to the users using implicit user
feedback. In this paper we chose few products and their
respective ranks arbitrarily taken from previous work. For
obtaining user’s purchase activities a vector feedback is taken
from the user and on the basis of their feedback products are
scored, hence they are again ranked which is supposed to be the
user’s ranking. Finally we evaluate the system performance using
false negative and false positive rates, which show the
effectiveness of the proposed method.