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This paper proposes a novel data hiding algorithm having large data hiding rate based on integer wavelet transform, which can recover original image without any distortion from the marked image after the hidden data have been extracted. This algorithm hides the data and the overhead data representing the bookkeeping information into a middle bit-plane of(More)
Advances in wireless sensor networks and positioning technologies enable traffic management (e.g. routing traffic) that uses real-time data monitored by GPS-enabled cars. Location management has become an enabling technology in such application. The location modeling and trajectory prediction of moving objects are the fundamental components of location(More)
This paper proposes a novel approach to high capacity lossless data hiding based on integer wavelet transform, which embeds high capacity data into the most insensitive bit-planes of wavelet coefficients. Specifically, three high capacity lossless data hiding methods, namely A, B and C are proposed. Method A is the traditional lossless data hiding(More)
Traditional desktop search engines only support keyword based search that needs exact keyword matching to find resources. However, users generally have a vague picture of what is stored but forget the exact location and keywords of the resource. According to observations of human associative memory, people tend to remember things from some memory fragments(More)
Recent research has focused on density queries for moving objects in highly dynamic scenarios. An area is dense if the number of moving objects it contains is above some threshold. Monitoring dense areas has applications in traffic control systems, bandwidth management, collision probability evaluation, etc. All existing methods, however, assume the objects(More)
Cloud computing has become a hot topic in the IT industry. Great efforts have been made to establish cloud computing platforms for enterprise users, mostly small businesses. However, there are few researches about the impact of cloud computing over individual users. In this paper we focus on how to provide personalized services for individual users in the(More)
We present a cloud-based data mining platform which demonstrates the solution of data mining as a service (DMaaS). In the backend, the data processing engine is based on hadoop, an open-source implementation of Google MapReduce. Implementation of the data mining algorithms in Apache Mahout is deployed in the platform. The user can access DMaaS from his(More)
This paper studies the Semantic Network Language Generation (SNLG), which is used to generate natural language from the information represented as Semantic Networks (SN). After a brief analysis of the challenges faced by SNLG, a Semantic Network Serialization Grammar (SNSG) is proposed to generate natural language from semantic networks. The SNSG is(More)
With the fast growth of disk capacity in personal computers, keyword search over personal data (a.k.a. desktop search) is becoming increasingly important. Nonetheless, desktop search has been shown to be more challenging than traditional Web search. Modern commercial Web search engines heavily rely on structural information (i.e., hyperlinks betweenWeb(More)
Non-coding (nc)RNAs are divided into small ncRNAs and long ncRNAs (lncRNAs). MicroRNAs (miRNAs) are small ncRNAS which are around 22 nucleotides in length that mediate post-transcriptional gene silencing. LncRNAs are greater than 200 bp in length. Each ncRNA can have multiple targets and can be regulated by multiple genetic factors. Because ncRNAs are not(More)