Showing 1873–1884 of 2166 results

  • Sensing as a Service: Challenges, Solutions and Future Directions

    Sensing as a Service: Challenges, Solutions and Future Directions

    0 out of 5
    3,500

    Sensing as a Service: Challenges, Solutions and Future Directions Abstract?Sensors on (or attached to) mobile phones can enable attractive sensing applications in different domains, such as environmental monitoring, social networking, healthcare, transportation, etc. We introduce a new concept, sensing as a service (S2aaS), i.e., < Final Year Projects > providing sensing services using mobile phones…

  • Sentiment Analysis of Twitter Data

    Sentiment Analysis of Twitter Data

    0 out of 5
    4,500

    Sentiment Analysis of Twitter Data Abstract? We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity features. (2) We explore the use of a tree kernel to obviate the need for tedious feature engineering. The new features (in conjunction with previously proposed features) and the tree…

  • Sentiment analysis: from opinion mining to human-agent interaction

    Sentiment analysis: from opinion mining to human-agent interaction

    0 out of 5
    4,500

    Self-Sentiment analysis: from opinion mining to human-agent interaction AbstractSelf-Sentiment analysis: from opinion mining to human-agent interaction. The opinion mining and human-agent interaction communities are currently addressing sentiment analysis from different perspectives that comprise, on the one hand, disparate sentiment-related phenomena and computational representations, and on the other hand, different detection and dialog management methods. In…

  • Sentiview:Analysis on internet famous topics

    Sentiview:Analysis on internet famous topics

    0 out of 5
    4,500

    Sentiview:Analysis on internet famous topics Abstract?There would be value to several domains in discovering and visualizing sentiments in online posts. This paper presents SentiView, an interactive visualization system that aims to analyze public sentiments for popular topics on the Internet. SentiView combines uncertainty modeling and model-driven adjustment. By searching and correlating frequent words in text…

  • Separable Reversible Encrypted Data Hiding in Encrypted Image Using AES Algorithm and BPCS Algorithm

    Separable Reversible Encrypted Data Hiding in Encrypted Image Using AES Algorithm and BPCS Algorithm

    0 out of 5
    4,500

    Separable Reversible Encrypted Data Hiding in Encrypted Image Using AES Algorithm and BPCS Algorithm Abstract? Steganography basically was defined for the sending secrets message which hides in the image. The secrets message transmitted from one user to another user safely. In the previous system of hiding data in image uses the AES algorithm and Lossy…

  • Separable Reversible Encrypted Data Hiding in Encrypted Image Using AES algorithm and Lossy Technique

    Separable Reversible Encrypted Data Hiding in Encrypted Image Using AES algorithm and Lossy Technique

    0 out of 5
    4,500

    Separable Reversible Encrypted Data Hiding in Encrypted Image Using AES algorithm and Lossy Technique Abstract?The field steganography is very much popular technique for sending secrete message and lots of research are going in it. To overcome the limitation of previous work we proposed separable and reversible encrypted data hiding in encrypted image using AES Algorithm…

  • SEPIA: Secure-PIN-Authentication-as-a-Service for ATM using Mobile and Wearable Devices

    SEPIA: Secure-PIN-Authentication-as-a-Service for ATM using Mobile and Wearable Devices

    0 out of 5
    4,500

    SEPIA: Secure-PIN-Authentication-as-a-Service for ATM using Mobile and Wearable Devices Abstract? Credit card fraud is a common problem in today?s world. Financial institutions have registered major loses till today due to users being exposed of their credit card information. Shoulder-sur?ng or observation attacks, including card skimming and video recording with hidden cameras while users perform PIN-based…

  • Sequence-Growth : A Scalable and Effective Frequent Itemset Mining Algorithm for Big Data Based on MapReduce Framework

    Sequence-Growth : A Scalable and Effective Frequent Itemset Mining Algorithm for Big Data Based on MapReduce Framework

    0 out of 5
    4,500

    Sequence-Growth : A Scalable and Effective Frequent Itemset Mining Algorithm for Big Data Based on MapReduce Framework Abstract? Frequent itemset mining FIM < Final Year Projects 2016 > is an important research topic because it is widely applied in real world to ?nd the frequent itemsets and to mine human behavior patterns. FIM process is…

  • Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds

    Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds

    0 out of 5
    4,500

    Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds Abstract?A service operator-aware trust scheme SOTS for resource matchmaking across < Final Year Projects 2016 > multiple clouds. Through analyzing the built-in relationship between the users, the broker, and the service resources, this paper proposes a middleware framework of trust management that can effectively reduces…

  • Service-generated Big Data and Big Data-as-a-Service: An Overview

    Service-generated Big Data and Big Data-as-a-Service: An Overview

    0 out of 5
    4,500

    Service-generated Big Data and Big Data-as-a-Service: An Overview Abstract?The prevalence of service computing and cloud computing, more and more services are emerging on the Internet, generating huge volume of data, such as trace logs, QoS information, service relationship, etc. The overwhelming service-generated data become too large and complex difficult < Final Year Projects 2016 >…

  • Set predicates in sql:Enabling set-level comparisons for dynamically formed groups

    Set predicates in sql:Enabling set-level comparisons for dynamically formed groups

    0 out of 5
    4,500

    Set predicates in sql:Enabling set-level comparisons for dynamically formed groups Abstract?Set predicates in sql:Enabling set-level comparisons for dynamically formed groups. In data warehousing and OLAP applications, scalar-level predicates in SQL become increasingly inadequate to support a class of operations that require set-level comparison semantics, i.e., comparing a group of tuples with multiple values. Currently, complex…

  • Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion

    Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion

    0 out of 5
    4,500

    Shape Similarity Analysis by Self-Tuning Locally Constrained Mixed-Diffusion   Abstract?Similarity analysis is a powerful tool for shape matching/retrieval and other computer vision tasks. In the literature, various shape (dis)similarity measures have been introduced. Different measures specialize on different aspects of the data. < Final Year Projects > In this paper, we consider the problem of…

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