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Keyword: ROTPMTM: Topic Modeling over Papers’ Abstract
Probabilities topic models are active research area in text mining, machine learning, information retrieval, etc. Most of the current statistical topic modeling methods, such as Probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA). They are used to build models from unstructured text and produce a term-based representation to describe a topic by choosing…
Read MoreInterference Avoidance using Spatial Modulation based Location Aware Beamforming in Cognitive Radio IOT Systems
The Internet of Things (IOT) is a revolutionary communication technology which enables numerous heterogeneous objects to be inter-connected. In such a wireless system, interference management between the operating devices is an important challenge. Cognitive Radio (CR) seems to be a promising enabler transmission technology for the 5G-IOT system. The “sense-and-adapt” smart transmission strategy in CR…
Read MoreSoftware and Hardware Enhancement of Convolutional Neural Networks on GPGPUs
Convolutional Neural Networks (CNNs) have gained attention in recent years for their ability to perform complex machine learning tasks with high accuracy and resilient to noise of inputs. The time-consuming convolution operations of CNNs pose great challenges to both software as well as hardware designers. To achieve superior performance, a design involves careful concerns between…
Read MoreCommunity Detection in Social Network with Outlier Recognition
Exploring communities and outliers in Social Network is based on considering of some nodes have overlapped neighbor node within the same group as well as some nodes have no any link to the other node or have no any overlapped value. The existing approaches are based on the overlapping community detection method were only defined…
Read MoreTwo-Stage Performance Engineering of Container-based Virtualization
Cloud computing has become a compelling paradigm built on compute and storage virtualization technologies. The current virtualization solution in the Cloud widely relies on hypervisor-based technologies. Given the recent booming of the container ecosystem, the container-based virtualization starts receiving more attention for being a promising alternative. Although the container technologies are generally considered to be…
Read MoreAdaptive and Non Adaptive LTE Fractional Frequency Reuse Mechanisms Mobility Performance
Mobile broadband has gained momentum with the growing demand of user data rates. Long Term Evolution (LTE) technology is the step in mobile communications evolution, developed to satisfy high data rate demand, and meet better spectral efficiency requirements. Effective radio resource management and inter cell interferences are the major challenges. Fractional Frequency Reuse (FFR) is…
Read MoreAn Analysis of K-means Algorithm Based Network Intrusion Detection System
In this modern age, information technology (IT) plays a role in a number of different fields. And therefore, the role of security is very important to control and assist the flow of activities over the network. Intrusion detection (ID) is a kind of security management system for computers and networks. There are many approaches and…
Read MoreHardware Acceleration on Cloud Services: The use of Restricted Boltzmann Machines on Handwritten Digits Recognition
Cloud computing allows users and enterprises to process their data in high performance servers, thus reducing the need for advanced hardware at the client side. Although local processing is viable in many cases, collecting data from multiple clients and processing them in a server gives the best possible performance in terms of processing rate. In…
Read MoreStructure-Preserving Modeling of Safety-Critical Combinational Circuits
In this work, a representative combinational circuit is visualized in various ways. It is abstracted (concretized) from transistor level to gate level and a structure-preserving transition is carried out into a signal flow graph. For creating a signal flow plan it is necessary to swap the nodes and the edges in the signal flow graph.…
Read MoreTracking and Detecting moving weak Targets
Detect and tracking of moving weak targets is a complicated dynamic state estimation problem whose difficulty is increased in case of high clutter conditions or low signal to noise ratio (SNR). In this case, the track-before-detect filter (TBDF) that uses unthresholded measurements considers as an effective method for detecting and tracking a single target under…
Read MoreInnovative Research on the Development of Game-based Tourism Information Services Using Component-based Software Engineering
In recent years, a number of studies have been conducted exploring the potential of digital tour guides, that is, multimedia components (e.g., 2D graphic, 3D models, and sound effects) that can be integrated into digital storytelling with location-based services. This study uses component-based software engineering to develop the content of game-based tourism information services. The…
Read MoreActuator Fault Reconstruction based Adaptive Polytopic Observer for a Class of Continuous-Time LPV Systems
This paper is an extension of work originally presented in conference name. The goal is to propose new fault detection and fault isolation techniques for a polytypic linear parameter-varying system (LPV). In this work, an adaptive observer design is formulated for a given polyquadratic Lyapunov function. Subsequently, new sufficient conditions are given in terms of…
Read MoreA Smart Mobile Application for Assisting Parents in Anti-Drug Support
Drug abuse problem is not a new problem, but it is still serious in Hong Kong. The emergence of hidden drug abuse youth has brought more difficulties to them and their parents. The usual ways of providing anti-drug abuse assistance are not sufficient to these types of young people. Intelligent methods have been developed to…
Read MoreCo-designed accelerator for homomorphic encryption applications
Fully Homomorphic Encryption (FHE) is considered as a key cryptographic tool in building a secure cloud computing environment since it allows computing arbitrary functions directly on encrypted data. However, existing FHE implementations remain impractical due to very high time and resource costs. These costs are essentially due to the computationally intensive modular polynomial multiplication. In…
Read MoreSystematic Tool Support of Engineering Education Performance Management
Engineering schools must adopt or develop their own systems and processes for graduate attribute assessment. In this paper, we take a systems engineering approach to graduate attribute assessment and propose a system architecture and tool-supported continuous improvement process with key algorithms and mathematical analysis to process the data and provide performance management reporting. Over several…
Read MoreAdaptive observer design for a class of nonlinear systems with time delays
This paper deals with the design of adaptive observer for a class of nonlinear systems with time delays. Within this work, we develop an adaptive observer for a bilinear time delay system, then we extend those results in the presence of Lipschitz nonlinear functions in the system’s dynamics. In the stability analysis of the estimation…
Read MoreNon-rigid Registration for 3D Active Shape Liver Modeling
To avoid biopsies, doctors use non invasive medical techniques such as the computed tomography. Even that, the detection of the liver remains a big challenge because of the gray level and shape variations which depend on patients and acquisition modalites. In this work, we propose to create a 3D liver model in the training phase…
Read MoreInnovative design with learning reflexiveness for developing the Hamiltonian circuit learning games
In this study, we use a new proposed framework to develop the Hamiltonian circuit learning games for college students. The framework is for enhancing learners’ activities with learning reflexiveness. The design of these games is based on this framework to achieve the targeted learning outcomes. In recent years, the game-based learning is a very popular…
Read MoreLabVIEW-based data acquisition system for Diode I-V Characterization
This work describes computerized data acquisition system for current-voltage (I-V) characteristics of diodes. The proposed system consist of a personal computer pre-installed with LabVIEW, two units of power supply, an interface board, current and voltage sensors. Two devices under test (DUTs) are selected namely 1N4007 silicon and 1N34 germanium diodes. The current flow through the…
Read MoreSignal-Based Metamodels for Predictive Reliability Analysis and Virtual Testing
In the current industrial development, an increasing number of sensors is applied for monitoring of any kind of appliances and machines. A predictive mathematical model allows for realistic assessment of the health state of the appliance, indication of service requirements, as well as control of the appliance, serving as so-called digital twin on a control…
Read MoreA Dynamic Reallocation Based Window Access Scheme for Enhancing QoS of Vehicular Ad-hoc Networks (VANETs)
This article proposes a new MAC scheme for Vehicle-to-Infrastructure (V2I) communications that dynamically reallocates unused TDMA slots. By maintaining a balanced waiting time, the proposed TDMA based scheduling scheme allocates TDMA slots in a rational way to minimize merging and one-hop neighboring collision. The proposed scheme ensures dynamic reallocation of unused slots by using “time…
Read MoreSimulation and FPGA Implementation of a Ring Oscillator Sensor for Complex System Design
This paper, presents the design of a temperature sensor based on RO (Ring Oscillator) in order to make a thermal study for the detection and localization of thermal peaks in a complex system. In this work, a simulation and FPGA implementation of a fully digital temperature sensor features a number of exact inverters that can…
Read MoreThe Use of LMS AMESim in the Fault Diagnosis of a Commercial PEM Fuel Cell System
The world’s pollution rates have been increasing exponentially due to the many reckless lifestyle practices of human beings as well as their choices of contaminating power sources. Eventually, this lead to a worldwide awareness on the risks of those power sources, and in turn, a movement towards the exploration and deployment of several green technologies…
Read MoreShort CCA-Secure Attribute-Based Encryption
Chosen-ciphertext attacks (CCA) are typical threat on public-key encryption schemes. We show direct chosen-ciphertext security modification in the case of attribute-based encryption (ABE), where an ABE scheme secure against chosen-plaintext attacks (CPA) is converted into an ABE scheme secure against CCA by individual techniques. Our modification works in the setting that the Diffie-Hellman tuple to…
Read MoreConstant Envelope DCT based OFDM System with M-ary PAM Mapper over Fading Channels
Constant Envelope Discrete Cosine Transform based Orthogonal Frequency Division Multiplexing (CE-DCT-OFDM) system with M-ary Pulse Amplitude Modulation (PAM) mapper is considered. In the system phase modulation is used to achieve constant envelope signals that have 0 dB Peak-to-Average-Power Ratio (PAPR). Transmission of such signals permit high power amplifiers in the system to operate with maximum…
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