International Journal for Research in Applied Science and Engineering Technology, 2022
The face spoof detection is the approach which can detect spoofed face. The face spoof detection ... more The face spoof detection is the approach which can detect spoofed face. The face spoof detection methods has various phases which include pre-processing, feature extraction and classification. The classification algorithm can classify into two classes which are spoofed or not spoofed. The KNN approach is used previously with the GLCM algorithm for the face spoof detection which give low accuracy. In this research work, the hybrid classification method is proposed which is the combination of random forest, k nearest neighbour and SVM Classifiers. The simulation outcomes depict that the introduced method performs more efficiently in comparison with the conventional techniques with regard to accuracy.
Advances in Intelligent Systems and Computing, 2018
Mobile Cloud Computing (MCC) is an excellent communication offspring obtained by blending virtues... more Mobile Cloud Computing (MCC) is an excellent communication offspring obtained by blending virtues of both Mobile computing and Cloud Computing Internet technologies. Mobile Cloud Computing has found its advantages in technical and communication market in innumerable ways. Major radical advantages of Mobile Cloud Computing are the computation offloading, enhancement of the smartphone application by utilizing the computational power of resource-rich cloud and enabling the smart mobile phone (SMP) to execute resource-intensive applications. In this survey paper, a SWOT (Strengths, Weakness, Opportunities and Threats) analysis of different Computation offloading techniques, is made. Computation Offloading uses the technique to migrate heavy computational resource applications from smartphone device to the cloud. In particular, this paper laid emphasis on the similarities and differences of computation offloading algorithms and models. Moreover, some important issues in offloading mechanism are also addressed in detail. All these will provide a glimpse of how the communication between the Mobile Device and the Cloud takes place flawlessly and efficiently.
International Journal of Science and Research (IJSR), 2016
Reviews are unbiased information obtained from the sources outside an organization, which makes t... more Reviews are unbiased information obtained from the sources outside an organization, which makes them more reliable in the eyes of customers. Online shoppers are very much concerned about product reviews before making any decision regarding buying the product. Product reviews plays an important role in determining what kind of product is. Such reviews provide useful information about customer concern and their experience with the product. Consequently, these reviews will be helpful for a business making products for the purpose of product recommendation, better customer understanding and attracting more loyal customers. As ecommerce has become so popular, numbers of reviews are increasing day by day. It is difficult for a customer to read all the reviews manually. In this paper, an approach is developed which is used to obtain the summary from thousands or hundreds of online reviews. This approach uses extraction summarization for summarizing the reviews thereby selecting the original sentences and putting it together into a new shorter text explaining the overall opinion about the product. Although previous studies of deriving useful information from customer reviews focus on categorical or numerical data and textual data has been ignored. But textual data are of equal importance so it should not be ignored. So, this approach includes every aspect of the review in the summary so that a customer would be able to make a right decision regarding product.
International Journal for Research in Applied Science and Engineering Technology, 2022
The face spoof detection is the approach which can detect spoofed face. The face spoof detection ... more The face spoof detection is the approach which can detect spoofed face. The face spoof detection methods has various phases which include pre-processing, feature extraction and classification. The classification algorithm can classify into two classes which are spoofed or not spoofed. The KNN approach is used previously with the GLCM algorithm for the face spoof detection which give low accuracy. In this research work, the hybrid classification method is proposed which is the combination of random forest, k nearest neighbour and SVM Classifiers. The simulation outcomes depict that the introduced method performs more efficiently in comparison with the conventional techniques with regard to accuracy.
Advances in Intelligent Systems and Computing, 2018
Mobile Cloud Computing (MCC) is an excellent communication offspring obtained by blending virtues... more Mobile Cloud Computing (MCC) is an excellent communication offspring obtained by blending virtues of both Mobile computing and Cloud Computing Internet technologies. Mobile Cloud Computing has found its advantages in technical and communication market in innumerable ways. Major radical advantages of Mobile Cloud Computing are the computation offloading, enhancement of the smartphone application by utilizing the computational power of resource-rich cloud and enabling the smart mobile phone (SMP) to execute resource-intensive applications. In this survey paper, a SWOT (Strengths, Weakness, Opportunities and Threats) analysis of different Computation offloading techniques, is made. Computation Offloading uses the technique to migrate heavy computational resource applications from smartphone device to the cloud. In particular, this paper laid emphasis on the similarities and differences of computation offloading algorithms and models. Moreover, some important issues in offloading mechanism are also addressed in detail. All these will provide a glimpse of how the communication between the Mobile Device and the Cloud takes place flawlessly and efficiently.
International Journal of Science and Research (IJSR), 2016
Reviews are unbiased information obtained from the sources outside an organization, which makes t... more Reviews are unbiased information obtained from the sources outside an organization, which makes them more reliable in the eyes of customers. Online shoppers are very much concerned about product reviews before making any decision regarding buying the product. Product reviews plays an important role in determining what kind of product is. Such reviews provide useful information about customer concern and their experience with the product. Consequently, these reviews will be helpful for a business making products for the purpose of product recommendation, better customer understanding and attracting more loyal customers. As ecommerce has become so popular, numbers of reviews are increasing day by day. It is difficult for a customer to read all the reviews manually. In this paper, an approach is developed which is used to obtain the summary from thousands or hundreds of online reviews. This approach uses extraction summarization for summarizing the reviews thereby selecting the original sentences and putting it together into a new shorter text explaining the overall opinion about the product. Although previous studies of deriving useful information from customer reviews focus on categorical or numerical data and textual data has been ignored. But textual data are of equal importance so it should not be ignored. So, this approach includes every aspect of the review in the summary so that a customer would be able to make a right decision regarding product.
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Papers by pravneet sidhu