Cloud Computing provides pay-as-you-go style service that attracts the user to use cloud rather t... more Cloud Computing provides pay-as-you-go style service that attracts the user to use cloud rather than opting for traditional computing. Cloud provides Saas ,Paas and Iaas services. In recent days Iaas plays a vital role. In this paper, to improve the quality of cloud service, especially provision of virtual machine and planning of cloud capacity is increased by performing prediction. Prediction is done by ensemble prediction model. Thus by predicting the demands for virtual machine, the quality of cloud service will be improved. To quantify the prediction error Cloud Prediction Cost (CPC) method is suggested.
Digital Image Forensics is the field that deals with the authenticity of the images. In recent tr... more Digital Image Forensics is the field that deals with the authenticity of the images. In recent trends, the image forgery is rapid worldwide and it considered offensive. To identify the image forgery ,and to find the duplicated region in each image RANSAC algorithm is used. The proposed system uses RANSAC(Random Sample Consensus) for finding the keypoints and features and obtaining the matched pattern which is much faster compared to other algorithms. The KD-Tree algorithm is used to match the plotted points. The RANSAC algorithm along with KD-Tree helps to find the duplicated regions more effectively. Terms Used: Image Forgery, RANSAC (Random Sample Consensus), KD-Tree.
Existing social media networks suggests friends to the account holder based on their friend list,... more Existing social media networks suggests friends to the account holder based on their friend list, which is not always suitable for the account holder’s interest in real life. In this paper, we proposed a query based recommendation system with de-trop message detection using k-means algorithm which analyses the lifestyle of the user. If the lifestyle matches with the account holder, then the system suggests the user to the account holder. The lifestyle can be analysed using several parameters such as monitoring the daily routine activities, habits, attitude etc. The similarities between the account holder and the users are extracted by using k-means algorithm. The system also incorporates a feedback mechanism for accurate and efficient friend suggestions. The system monitors the user and if any de-trop activities are reported then the server blocks the users immediately. This ensures security and confidentiality to the account holder.
Cloud Computing provides pay-as-you-go style service that attracts the user to use cloud rather t... more Cloud Computing provides pay-as-you-go style service that attracts the user to use cloud rather than opting for traditional computing. Cloud provides Saas ,Paas and Iaas services. In recent days Iaas plays a vital role. In this paper, to improve the quality of cloud service, especially provision of virtual machine and planning of cloud capacity is increased by performing prediction. Prediction is done by ensemble prediction model. Thus by predicting the demands for virtual machine, the quality of cloud service will be improved. To quantify the prediction error Cloud Prediction Cost (CPC) method is suggested.
Digital Image Forensics is the field that deals with the authenticity of the images. In recent tr... more Digital Image Forensics is the field that deals with the authenticity of the images. In recent trends, the image forgery is rapid worldwide and it considered offensive. To identify the image forgery ,and to find the duplicated region in each image RANSAC algorithm is used. The proposed system uses RANSAC(Random Sample Consensus) for finding the keypoints and features and obtaining the matched pattern which is much faster compared to other algorithms. The KD-Tree algorithm is used to match the plotted points. The RANSAC algorithm along with KD-Tree helps to find the duplicated regions more effectively. Terms Used: Image Forgery, RANSAC (Random Sample Consensus), KD-Tree.
Existing social media networks suggests friends to the account holder based on their friend list,... more Existing social media networks suggests friends to the account holder based on their friend list, which is not always suitable for the account holder’s interest in real life. In this paper, we proposed a query based recommendation system with de-trop message detection using k-means algorithm which analyses the lifestyle of the user. If the lifestyle matches with the account holder, then the system suggests the user to the account holder. The lifestyle can be analysed using several parameters such as monitoring the daily routine activities, habits, attitude etc. The similarities between the account holder and the users are extracted by using k-means algorithm. The system also incorporates a feedback mechanism for accurate and efficient friend suggestions. The system monitors the user and if any de-trop activities are reported then the server blocks the users immediately. This ensures security and confidentiality to the account holder.
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Papers by Lydia Jeba