Results (1611)
Search Parameters:
Keyword: UseAn Aggregation Model for Energy Resources Management and Market Negotiations
Currently the use of distributed energy resources, especially renewable generation, and demand response programs are widely discussed in scientific contexts, since they are a reality in nowadays electricity markets and distribution networks. In order to benefit from these concepts, an efficient energy management system is needed to prevent energy wasting and increase profits. In this…
Read MoreThe impact of Big Data on the Android Mobile Platform for Natural Disaster Situations
This application developing for the project OCEMA comes as result of architecture building in Android, then the development of a professional modeling in Talend Open Studio for Big Data, which enabled the integration of data from many data sources. One of its uses is the quick identification of people found in areas affected by natural…
Read MorePerformance Analysis of NLMS Channel Estimation for AMC-COFDM System
In this paper we focus on the adaptive modulation and coding (AMC) techniques, makes use of the channel state information (CSI) to improve the spectral efficiency (SE) in wireless communication systems. To achieve higher data rates and lower bit error rate (BER’s) channel coding can be carried out in OFDM, called COFDM. The NLMS channel…
Read MorePredicting Smoking Status Using Machine Learning Algorithms and Statistical Analysis
Smoking has been proven to negatively affect health in a multitude of ways. As of 2009, smoking has been considered the leading cause of preventable morbidity and mortality in the United States, continuing to plague the country’s overall health. This study aims to investigate the viability and effectiveness of some machine learning algorithms for predicting…
Read MoreImproving Patient Outcomes Through Untethered Patient-Centered Health Records
Patient generated data, or personal clinical data, is considered an important aspect in improving patient outcomes. However, personal clinical data is difficult to collect and manage due to its distributed nature. For example, they can be located in multiple places such as doctors’ offices, radiology centers, hospitals, or some clinics. Another factor that can make…
Read MoreMission-Critical Systems Design Framework
Safety-critical systems are well documented and standardized (e.g. IEC 61508, RTCA DO-178B) within system design cycles. However in Defence and Security, systems that are critical to the success of a Mission are not defined within the literature nor are there any guidelines in defining criticality in their design or operational capabilities. When it comes to…
Read MoreAutomated Text Annotation for Social Media Data during Natural Disasters
Nowadays, text annotation plays an important role within real-time social media mining. Social media analysis provides actionable information to its users in times of natural disasters. This paper presents an approach to a real-time two layer text annotation system for social media stream to the domain of natural disasters. The proposed system annotates raw tweets…
Read MorePerformance of Location and Positioning Systems: a 3D-Ultrasonic System Case
The necessity of navigation in people and mobile robots (MR) through specific environments (indoors or outdoors) has become more and more relevant nowadays. For indoors, generally speaking, the positioning systems can be divided into 2D (two dimensions) or 3D (three dimensions) approaches, where Ultrasonic Local Positioning Systems (ULPS) are often a common solution for MRs…
Read MoreEstimating short time interval densities in a CTM-KF model
On-ramping is being widely used as e method to increase the freeway operational efficiency. The main traffic parameter that must be taken in consideration for the implementation of the feedback control strategies for the on-ramp metering is density on the main section of road. In this paper is given discretized model of traffic which is…
Read MoreTPMTM: 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 MoreEnhanced Outdoor to Indoor Propagation Models and Impact of Different Ray Tracing Approaches at Higher Frequencies
The main target of this article is to study the provision of indoor service (coverage) using outdoor base station at higher frequencies i.e. 10 GHz, 30 GHz and 60 GHz. In an outdoor to indoor propagation, an angular wall loss model is used in the General Building Penetration (GBP) model for estimating the additional loss…
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 MoreAn Advanced Algorithm Combining SVM and ANN Classifiers to Categorize Tumor with Position from Brain MRI Images
Brain tumor is such an abnormality of brain tissue that causes brain hemorrhage. Therefore, apposite detections of brain tumor, its size, and position are the foremost condition for the remedy. To obtain better performance in brain tumor and its stages detection as well as its position in MRI images, this research work proposes an advanced…
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 MoreThe Internet of Things ecosystem: the blockchain and data protection issues
The IoT is innovative and important phenomenon prone to several services and applications such as the blockchain which an emerging phenomenon. We can describe the blockchain as blockchain as a service because of the opportunity to use several applications based on this technology. We, indeed, should take into account the legal issues related to the…
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 MoreComputation of Viability Kernels on Grid Computers for Aircraft Control in Windshear
This paper is devoted to the analysis of aircraft dynamics in the cruise flight phase under windshear conditions. The study is conducted with reference to a point-mass aircraft model restricted to move in a vertical plane. We formulate the problem as a differential game against the wind disturbances: The first player, autopilot, manages, via additional…
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 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 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 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 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 More
