Timer-based Bloom Filter Aggregation for Reducing Signaling Overhead in Distributed Mobility Management Abstract? Timer-based Bloom Filter Aggregation for Reducing Signaling Overhead in Distributed Mobility Management. Distributed mobility management DMM is a promising technology to address the mobile data traf?c explosion problem. Since the location information of mobile < Final Year Project 2016 > nodes (MNs)…
TMACS: A Robust and Verifiable Threshold Multi-Authority Access Control System in Public Cloud Storage Abstract? TMACS: A Robust and Verifiable Threshold Multi-Authority Access Control System in Public Cloud Storage. Attribute-based Encryption (ABE) is regarded as a promising cryptographic conducting tool to guarantee data owners? direct control over their data in public cloud storage. The earlier…
To improve Blood Donation Process using Data Mining Techniques Abstract? To improve Blood Donation Process using Data Mining Techniques. Blood is the vital thing for human being because there is no alternative for replacing it. This makes it necessary for the presence of a system for predicting continuous behavior of healthy blood donors in blood…
To Lie or t o Comply: Defending against FloodAttacks in Disruption Tolerant Networks Abstract? To Lie or t o Comply: Defending against FloodAttacks in Disruption Tolerant Networks. For a broad-topic and ambiguous query, different users may have different search goals when they submit it to a search engine. The inference and analysis of user search…
Top-k Similarity Join in Heterogeneous Information Networks Abstract? Top-k Similarity Join in Heterogeneous Information Networks. As a newly emerging network model, heterogeneous information networks < Final Year Projects 2016 > have received growing attention. Many data mining tasks have been explored in HINs, including clustering, classi?cation, and similarity search. Similarity join is a fundamental operation…
Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning Abstract?Topic-Sensitive Influencer Mining in Interest-Based. Social Media Networks via Hypergraph Learning, Social media is emerging as a new mainstream means of interacting around online media. Social influence mining in social networks is therefore of critical importance in real-world applications such as friend suggestion and…
TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models Abstract?TopicMachine: Conversion Prediction in Search Advertising using Latent Topic Models. Search Engine Marketing (SEM) agencies manage thousands of search keywords for their clients. The campaign management dashboards provided by advertisement brokers have interfaces to change search campaign attributes. Using these dashboards, advertisers create test variants…
Topological Modeling and Classification of Mammographic Microcalcification Clusters Abstract? Topological Modeling and Classification of Mammographic Microcalcification Clusters. Goal:The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malig-nant or benign. In this paper, a novel method for the classification of…
Tour Package Management Abstract?A novel double diode package (footprint D2PAK compatible) was designed, simulated, and fabricated using an innovative embedding process with electroplated large-area copper contact metallizations on both sides of the chip. The package was also experimentally characterized regarding the thermal performance using two different test methods: < Final Year Projects > a test…
Toward Energy-Efficient Cloud Computing Prediction, Consolidation and Over Commitment Abstract? : Toward Energy-Efficient Cloud Computing Prediction, Consolidation < Final Year Projects 2016 >amalgamation and Over Commitment. Energy consumption is the consumption of energy or power. Cloud Computing is a developing technology which is revolutionizing the IT Infrastructure due to its high scalability and flexibility in…
TOWARD MULTI-GIGABIT WIRELESS: DESIGN OF HIGH-THROUGHPUT MIMO DETECTORS WITH HARDWARE-EFFICIENT ARCHITECTURE Abstract?This paper presents a hardware-efficient architecture for 4?4 and 8?8 high-throughput MIMO detectors. The adopted non-constant K-best algorithm tends to keep more survival nodes in top search tree layers and reduce computational complexity in bottom layers as opposed to the conventional K-best algorithm. A…
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