Towards Real-Time, Country-Level Location Classification of Worldwide Tweets

Towards Real-Time, Country-Level Location Classification of Worldwide Tweets

ABSTRACT The increase of interest in using social media as a source for research has motivated tackling the challenge of automatically geolocating tweets, given the lack of explicit location information in the majority of tweets. In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here […]

Secure and Energy-Efficient Data Transmission System Based on Chaotic Compressive Sensing in Body-to-Body Networks Storage space and Key Maker

Secure and Energy-Efficient Data Transmission System Based on Chaotic Compressive Sensing in Body-to-Body Networks Storage space and Key Maker

ABSTRACT Applications of wireless body area networks (WBANs) are extended from remote health care to military, sports, disaster relief, etc. With the network scale expanding, nodes increasing, and links complicated, aWBAN evolves to a body-to-body network. Along with the development, energy saving and data security problems are highlighted. In this paper, chaotic compressive sensing (CCS) […]

Progressive Shape-distribution-encoder for 3D Shape Retrieval Breakdown

Progressive Shape-distribution-encoder for 3D Shape Retrieval Breakdown

ABSTRACT In this paper, we propose a deep shape descriptor by learning the shape distributions at different diffusion time via a progressive deep shape-distribution-encoder. First, we develop a shape distribution representation with the kernel density estimator to characterize the intrinsic geometrical structure of the shape. Then, we propose to learn discriminative shape features through a […]

A Parallel Nonlocal Means Algorithm for Remote Sensing Image Denoising on an Intel Xeon Phi Platform

A Parallel Nonlocal Means Algorithm for Remote Sensing Image Denoising on an Intel Xeon Phi Platform

ABSTRACT The nonlocal means (NLM) algorithm is one of the best image denoising algorithms because of its superior capability to retain the texture details of an image and is widely used in remote sensing (RS) image preprocessing. However, the time complexity of the algorithm is very high due to its nonlocality when searching for similar […]

Performance Modeling of Cloud Apps Using Message Queueing as a Service (MaaS)

Performance Modeling of Cloud Apps Using Message Queueing as a Service (MaaS)

ABSTRACT This paper presents an analytical model to study the performance of cloud applications using message queueing as a service (MaaS). MaaS is a cloud service which allows the development departments to focus on delivering business and computing applications without being concerned with the underlying message queueing infrastructure to be scalable, secure, and reliable. Estimating […]

Comments and Correction on “Steganography Using Reversible Texture Synthesis”

Comments and Correction on “Steganography Using Reversible Texture Synthesis”

ABSTRACT We propose a novel approach for steganography using a reversible texture synthesis. A texture synthesis process re-samples a smaller texture image which synthesizes a new texture image with a similar local appearance and arbitrary size. We weave the texture synthesis process into steganography to conceal secret messages. In contrast to using an existing cover […]

A System for Profiling and Monitoring Database Access Patterns by Application Programs for Anomaly Detection (IEEE 2017)

A System for Profiling and Monitoring Database Access Patterns by Application Programs for Anomaly Detection (IEEE 2017)

ABSTRACT Database Management Systems (DBMSs) provide access control mechanisms that allow database administrators (DBAs) to grant application programs access privileges to databases. Though such mechanisms are powerful, in practice finer-grained access control mechanism tailored to the semantics of the data stored in the DMBS is required as a first class defense mechanism against smart attackers. […]

Empowering vehicle tracking in a cluttered environment with adaptive cellular automata suitable to intelligent transportation systems

Empowering vehicle tracking in a cluttered environment with adaptive cellular automata suitable to intelligent transportation systems

ABSTRACT Detecting and tracking moving vehicles in actual traffic scenes is an embryonic investigation field for smart transportation systems. This study presents the computational paradigm of fuzzy cellular automata (FCA) to manage the sensitive to environmental fluctuations limitation associated with the background subtraction methods for dynamic vehicle tracking. The suggested model extends FCA that is […]

Video Anomaly Detection With Compact Feature Sets for Online Performance

Video Anomaly Detection With Compact Feature Sets for Online Performance

ABSTRACT Over the past decade, video anomaly detection has been explored with remarkable results. However, research on methodologies suitable for online performance is still very limited. In this paper, we present an online framework for video anomaly detection. The key aspect of our framework is a compact set of highly descriptive features, which is extracted […]

Health and rescue services management system during a crisis event

Health and rescue services management system during a crisis event

ABSTRACT Τhe performance of rescuers and personnel handling major emergencies or crisis events can be significantly improved through continuous training and through technology support. The work done in order to create a system has been discussed which can support both resources and victims during a crisis or major emergency event. More specifically, the system supports […]