Target Tracking and Mobile Sensor Navigation in Wireless Sensor Networks Abstract?Target Tracking and Mobile Sensor Navigation in Wireless Sensor Networks. This work studies the problem of tracking signal-emitting mobile targets using navigated mobile sensors based on signal reception. Since the mobile target’s maneuver is unknown, the mobile sensor controller utilizes the measurement collected by a…
TASC:Topic-Adaptive Sentiment Classification on Dynamic Tweets Abstract? TASC:Topic-Adaptive Sentiment Classification on Dynamic Tweets. Sentiment classification is a topic-sensitive task, i.e., a classifier trained from one topic will perform worse on another. This is especially a problem for the tweets sentiment analysis.Since the topics in Twitter are very diverse, it is impossible to train a universal…
Task Allocation for Wireless Sensor Network Using Modified Binary Particle Swarm Optimization Abstract? Task Allocation for Wireless Sensor Network Using. Modified Binary Particle Swarm Optimization Many applications of wireless sensor network (WSN) require the execution of several computationally intense in-network processing tasks. Collaborative in-network processing among multiple nodes is essential when executing such a task…
Task Scheduling in the Cloud Computing Based on the Cuckoo Search Algorithm Abstract? Task Scheduling in the Cloud Computing Based on the Cuckoo Search Algorithm. Cloud computing is the latest emerging trend in distributed computing, where shared resources are provided to end-users in an on demand fashion that brings many advantjuages, including data ubiquity, flexibility…
Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment Abstract? Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment. Mobile cloud computing (MCC) offers signi?cant opportunities in performance enhancement and energy saving for mobile, battery-powered devices. Applications running on…
Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing Abstract?Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing. In order to < Final Year Projects > meet the increasing demand for high performance in smartphones, recent studies suggested mobile cloud computing techniques that aim to…
TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud Abstract? TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud. Cloud storage provides a convenient, massive, and scalable storage at low cost, but data privacy is a major concern that prevents users from storing files on the cloud trustingly. One way of…
TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud Abstract? TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud. Cloud storage provides a convenient, massive, and scalable storage at low cost, but data privacy is a major concern that prevents users from storing files on the cloud trustingly. One way of…
Test Compaction by Sharing of Transparent-Scan Sequences Among Logic Blocks Abstract?An approach to test application called transparent scan provides an opportunity to share tests among different logic blocks whose primary inputs and outputs are included in scan chains even if the blocks have different numbers of state variables. A transparent-scan sequence for one block is…
Text Detection and Recognition on Traffic Panels from Street-Level Imagery Using Visual Appearance Abstract? Text Detection and Recognition on Traffic Panels from Street-Level Imagery Using Visual Appearance. Traffic sign detection and recognition has been thoroughly studied for a long time. However, traffic panel detection and recognition still remains a challenge in computer vision due to…
Text-Video Completion Using Structure Repair and Texture Propagation Abstract?Text-Video Completion Using Structure Repair and Texture Propagation. Today, more superimposed text is embedded within videos. Usually some text is unnecessary. Thus, one requires an approach to remove the text and complete the video. However, few conventional approaches complete the video well due to the large-sized text,…
TEXTURE BASED IMAGE SEGMENTATION USING GLCM Abstract?TEXTURE BASED IMAGE SEGMENTATION USING GLCM, Brain tumor segmentation is an importance process in surgical and treatment planning in medicine. There are various intensity based techniques which have been proposed to segment homogeneous tumors on magnetic resonance images (MRI). Those still fail to segment homogeneous tumor against similar background,…