Paper Title

RATING FORECAST IN VIEW OF SOCIAL OPINION AND LITERARY AUDITS

Abstract

Nowadays, we have seen a number of modified websites. It offers the best opportunity to share for different parts of our shopping. However, we face additional information in this issue. How important is my way about valuable information from reviews to understand user preferences and make accurate recommendations. Traditional Recommendation System (RS) consider some factors, such as user purchase records, product type, and geographic location. In this work, we recommend the prediction-based prediction method (RPS) to improve the accuracy of predictions in the processing system. First of all, we offer social-user emotional measurement and calculate the emotional of each user on items / products. Secondly, we do not consider the user\'s personal attributes, but also focus on it. After that, we consider the product\'s reputation, which can be pointed to the emotional requirement of the user\'s set that reflects the comprehensive diagnosis of the users. Lastly, we use three exercises for predicting the correct factors - In our advice system with user emotional equality, sympathetic emotional influence, and item credibility. We estimate the performance of three emotional factors on real-world databases collected from yelp. Our experimental results show that the emotional user can improve preferences, which helps improve the performance.
KEYWORDS : Recommender system, Item reputation, Reviews, Rating prediction, Sentiment influence, and User sentiment.

Paper Title

EXPERIMENTAL ANALYSIS OF REFRIGERATION UNIT FOR OPTIMIZATION OF CAPILLARY TUBE LENGTH

Abstract

role in the performance of a vapour compression refrigeration system. Optimized design is possible through theoretical calculations, however may fail due to the reason that the uncertainties in the formulation of pressure drop inside the capillary tubes. Hence experimental investigations are the best in terms of optimization of certain design parameters. In the present work, it is attempted to optimize Length of capillary tube for refrigeration unit of capacity 30lts, with R-134a as refrigerant and hermetic sealed compressor of capacity 0.14H.P.and it is found that optimum Length of capillary tube gave a better performance of Subsequent atmospheric studies and computer models suggested that ozone was likely to be depleted at a faster rate than had previously thought. In response to the renewed concern over CFC’s, manufacturing companies restarted their development programmers for the environmentally acceptable refrigerants. Components of the vapour compression refrigeration system never work in isolation, change in performance of one component affect the performance of the other components and in turn overall performance of the system. Performance of the system also depends on the type, quantity of the refrigerant charged.
KEYWORDS :

Paper Title

ENHANCED NEURAL NETWORK CLASSIFIER FOR PATTERN RECOGNITION OF SPEECH SIGNAL BASED ON DISCRETE WAVELET TRANSFORMS

Abstract

Automatic Emotion Recognition (AER) from discourse finds more prominent importance in better man machine interfaces and apply autonomy. Discourse feeling based investigations firmly identified with the databases utilized for the examination. We have made and broke down three enthusiastic discourse databases. Discrete Wavelet Transformation (DWT) was utilized for the component extraction and Artificial Neural Network (ANN) was utilized for example characterization. Highlight extraction in discourse preparing is one of the primary stages to create discourse handling applications. An extensive arrangement of highlight extraction techniques is accessible to actualize on discourse handling approaches, anyway the decay through Wavelet bundles is a standout amongst the most mainstream these days for its strength. This paper portrays the improvement and usage of the WPD method utilizing discourse tests of the expressions of/cero/and/uno/. The trademark coefficients that after effect of the WPD are entered in an example acknowledgment dependent on neural systems to characterize information and perceive between the expressed words. The outcomes demonstrate an order above 75%, which shows the appropriateness of the strategy for acknowledgment
KEYWORDS : Wavelet Packet Decomposition, Wavelet Transform, Non-Audible Murmur, Neural Networks

Paper Title

A SECURE ANTI-COLLUSION DATA SHARING SCHEME FOR ADVANCED ENCRYPTION STANDARD IN CLOUD COMPUTING

Abstract

Cloud Computing, users can achieve an growing and balanced methodology for data sharing among the group members and individuals in the cloud with the characters of tiny management and tiny maintenance cost. It provides a security certification for data sharing because outsourced data’s are at risk .Due to frequently changing the memberships in the group provide privacy preserving issue ,mainly for an untrusted cloud due to collusion attack or pilot attack. In existing system key distribution is based on secure communication channels[1]. In that key is known to everyone and implementation is very difficult to practice. In this paper, we propose a key distribution without any communication channel and the user can know their private key from their group manager in secured manner. AES Algorithm is used for data encryption and decryption techniques and ring signature is used for key distribution between the group members.
KEYWORDS : AES Algorithm, Ring signature, pilot attack, cloud computing, privacy preserving