Free 2018 IEEE (CSE) synopsis of students requested papers

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Automatic Annotation of Text with Pictures

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Aim: a novel application has emerged that automatically adds pictures to text. Objectives: Is to reduce a reader’s cognitive information processing load1 by showing relevant pictures along with input text. A reader can quickly and easily decide if the text information deserves a closer look. Existing System: Here, provides a detailed comparison of eight well-known picturing systems. 1. WordsEye,17 a text-to-3D-scene rendering system, parses text into a semantic representation and creates a 3D rendering (a scene). 2. Story Picturing Engine9 extracts keywords and matches words to a labeled image database as part of the process of story illustration. 3. ROC-MMS for Complex Sentences12 produces a multimodal (text and pictures) summary of sentences. 4. Simple Sentence Picturing18 is an effort to investigate the idea that pictures can convey simple sentences across language barriers. 5. Enriching Textbooks19 matches sections of a textbook to Internet images...
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Privacy Characterization and Quantification in Data Publishing

Aim:   propose a novel multi-variable privacy characterization and quantification model.  Existing system: Privacy-Preserving Data Publishing (PPDP) techniques (k-anonymity, l-diversity and t-closeness.) have been proposed in literature. However, they lack a proper privacy characterization and measurement. all the existing PPDP schemes have limitations in privacy characterization  Proposed System: PUBLISHING MODEL goals is to quantify privacy loss of individuals having other attribute values (other diseases) within the same class. PRIVACY CHARACTERIZATION proposes two privacy metrics that can measure privacy leakage from two different perspectives.  Methodology: The proposed framework consists of two steps . First, model attributes in a dataset as a multi-variable model. Based on first model, are able to re-define the prior and posterior adversarial belief about attribute values of individuals.  Then characterize privacy of these individuals based on...
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Lightweight Fine-Grained Search over Encrypted Data in Fog Computing

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Aim: propose a Lightweight Fine-Grained Search (LFGS) system which supports fine Grained access control and single keyword search. Existing System: ·          the existing ciphertext retrieval schemes rarely focus on the fog computing environment and most of them still impose high computational and storage overhead on resource-limited end users. ·         existing CP-ABKS schemes are approximately proportional to the complexity of access policy, which greatly hinder the uses of resource-limited IoT devices. ·          existing CP-ABE schemes is that encryption or decryption operations involve time-consuming pairing operations and a number of other operations increasing with the complexity of access policy . Proposed System: Lightweight Fine-Grained ciphertexts Search (LFGS) system in fog computing by extending Ciphertext-Policy Attribute-Based Encryption (...
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