Dynamic Weight-Based Individual Similarity Calculation for Information Searching in Social Computing Abstract? Dynamic Weight-Based Individual Similarity Calculation for Information Searching in Social Computing. In the social computing environment, the complete information about an individual is usually distributed in heterogeneous social networks, which are presented as linked data. Synthetically recognizing and integrating these distributed and heterogeneous…
DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters Abstract?DynamicMR: A Dynamic Slot Allocation Optimization Framework for MapReduce Clusters. MapReduce is a popular computing paradigm for large-scale data processing in cloud computing. However, the slot-based MapReduce system (e.g., Hadoop MRv1) can suffer from poor performance due to its unoptimized resource allocation. To address it,…
DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors Abstract? DyScale: a MapReduce Job Scheduler for Heterogeneous Multicore Processors. The functionality of modern multi-core processors is often driven by a given power budget that requires designers to evaluate different decision trade-offs, e.g.,to choose between many slow, power-efficient cores, or fewer faster, power-hungry cores, or a…
E-Correction & Recovery the Government Credential Abstract? This is website oriented project. Citizen process is a digital communications system for residents and governments to facilitate service requests and provides access to city services, fostering more connected and engaged communities agencies can use our website to resolve requests and transform operations. This system provides the detail…
E-Justices Management System Abstract? E-Justices Management System. Intelligent power consumption management technology are developing rapidly. However, as an important role in consumer-side resource distribution, the distributed photovoltaic (PV) generator has not been typically taken into consideration. In order to enrich the user-side consuming strategies, < Final Year Projects > a distributed photovoltaic power access…
E-Learning and Intelligent Planning: Improving Content Personalization Abstract?E-Learning and Intelligent Planning: Improving Content Personalization. Combining learning objects are a challenging topic because of its direct application to curriculum generation, tailored to the students’ profiles and preferences. Intelligent planning allows us to adapt learning routes (i.e., sequences of learning objects), thus highly improving the personalization of…
E-Learning System Abstract? E-Learning System. E-Learning can be defined as ‘learning facilitated and supported through the use of information and communications technology’. It can cover a spectrum of activities from the use of technology to support learning as part of a ?blended? approach < Final Year Projects 2016 > a combination of traditional and e-learning…
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams Abstract?E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams Ensemble learning is a common tool for data stream classification, mainly because of its inherent advantages of handling large volumes of stream data and concept drifting. Previous studies, to date, have been primarily…
EAAP: An Access Research System and New Approach to Influence User Search Goal Abstract?EAAP: An Access Research System and New Approach to Influence User Search Goal. In today’s world of web, everybody desires different types of E-services from the internet, < Final Year Projects > which is a massive storehouse of information, and on…
Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier Abstract?A new computer-aided diagnosis (CAD) system for early lung cancer detection based on the analysis of sputum color images is proposed. A set of features is extracted from the nuclei of the sputum cells after applying a region detection process. For training…
ECG Steganography Abstract?ECG steganography hides patient’s confidential data into their Electrocardiogram during transmission/storage of medical records, in order to ensure protection of patient privacy. Efficiency of a steganography method can be estimated using imperceptibility and robustness of hidden data which are estimated using Peak Signal to Noise Ratio and Bit Error Rate metrics, < Final...
Economic and Energy Considerations for Resource Augmentation in Mobile Cloud Computing Abstract?Economic and Energy Considerations for Resource Augmentation in Mobile Cloud Computing. We proposed to utilize a centralized broker-node to perform task scheduling for the resource augmentation of a large number of mobile devices. The task scheduler model focused on energy < Final Year Projects…
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