Results (1510)
Search Parameters:
Keyword: CoMPReal-Time Flux-weakening Control for an IPMSM Drive System Using a Predictive Controller
This paper proposes extended-range high-speed control for an IPMSM drive system. A simple real-time tuning flux-weakening control algorithm is proposed and implemented to control an IPMSM drive system in a wide variable speed range, from 3 r/min up to 2700 r/min. This flux-weakening control algorithm does not require any motor parameters and only needs simple…
Read MoreSmartphone Based Heart Attack Risk Prediction System with Statistical Analysis and Data Mining Approaches
Nowadays, Ischemic Heart Disease (IHD) (Heart Attack) is ubiquitous and one of the major reasons of death worldwide. Early screening of people at risk of having IHD may lead to minimize morbidity and mortality. A simple approach is proposed in this paper to predict risk of developing heart attack using smartphone and data mining. Clinical…
Read MoreA New Identification Approach of MIMO Hammerstein Model with Separate Nonlinearities
A new coupled structure identification of Multi-Input Multi-Output (MIMO) Hammerstein models with separate nonlinearities is proposed. It is based on the use of the Recursive Least Squares (RLS) algorithm. A comparative study between a decoupled and coupled structures identification of MIMO Hammerstein models is discussed. A quadruple-tank process is used to illustrate the effectiveness of…
Read MoreImproved Hybrid Opponent System for Professional Military Training
Described herein is a general-purpose software engineering architecture for autonomous, computer controlled opponent implementation in modern maneuver warfare simulation and training. The implementation has been developed, refined, and tested in the user crucible for several years. The approach represents a hybrid application of various well-known AI techniques, including domain modeling, agent modeling, and object-oriented programming.…
Read MoreA New profiling and pipelining approach for HEVC Decoder on ZedBoard Platform
New multimedia applications such as mobile video, high-quality Internet video or digital television requires high-performance encoding of video signals to meet technical constraints such as runtime, bandwidth or latency. Video coding standard h.265 HEVC (High Efficiency Video Coding) was developed by JCT-VC to replace the MPEG-2, MPEG-4 and h.264 codecs and to respond to these…
Read MoreA novel beamforming based model of coverage and transmission costing in IEEE 802.11 WLAN networks
IEEE 802.11 WLAN indoor networks face major inherent and environmental issues such as interference, noise, and obstacles. At the same time, they must provide a maximal service performance in highly changing radio environments and conformance to various applications’ requirements. For this purpose, they require a solid design approach that considers both inputs from the radio…
Read MoreInvestigating the Expertise Indicators of Vulnerability Discovery Professionals
In crowdsourcing, selecting the person with suitable expertise is very important; especially since the task requester is not always in direct contact with the worker. Recently, this has become increasingly important particularly when the crowdsourced tasks are complex and require skillful workers (e.g. software development, software testing, vulnerability discovery, and open innovation). In this paper,…
Read MoreMonitoring power breakers using vibro acoustic techniques
Speaking about the commutation’s equipment, it can be said that the best solution in increasing reliability and lowering the maintenance costs is a continuous monitoring of the equipment. However, if the price/quality ratio is considered, it is obvious that, for the moment, the diagnosis can be also an acceptable solution. Nowadays the predictive maintenance for…
Read MoreRetrieving Dialogue History in Deep Neural Networks for Spoken Language Understanding
In this paper, we propose a revised version of the semantic decoder for multi-label classification task in the spoken language understanding (SLU) pilot task of the Dialog State Tracking Challenge 5 (DSTC5). Our model concatenates two deep neural networks – a Convolutional Neural Network (CNN) and a Recurrent Neural Networks (RNN) – for detecting semantic…
Read MoreOn Modeling Affect in Audio with Non-Linear Symbolic Dynamics
The discovery of semantic information from complex signals is a task concerned with connecting humans’ perceptions and/or intentions with the signals content. In the case of audio signals, complex perceptions are appraised in a listener’s mind, that trigger affective responses that may be relevant for well-being and survival. In this paper we are interested in…
Read MoreDesign of Cognitive Radio Database using Terrain Maps and Validated Propagation Models
Cognitive Radio (CR) encompasses a number of technologies which enable adaptive self-programing of systems at different levels to provide more effective use of the increasingly congested radio spectrum. CRs have potential to use spectrum allocated to TV services, which is not used by the primary user (TV), without causing disruptive interference to licensed users by…
Read MoreModeling Double Subjectivity for Gaining Programmable Insights: Framing the Case of Uber
The Internet is the premier platform that enable the emergence of new technologies. Online news is unstructured narrative text that embeds facts, frames, and amplification that can influence society attitudes about technology adoption. Online news sources are carriers of voluminous amounts of news for reaching significantly large audience and have no geographical or time boundaries.…
Read MoreTheoretical developments for interpreting kernel spectral clustering from alternative viewpoints
To perform an exploration process over complex structured data within unsupervised settings, the so-called kernel spectral clustering (KSC) is one of the most recommended and appealing approaches, given its versatility and elegant formulation. In this work, we explore the relationship between (KSC) and other well-known approaches, namely normalized cut clustering and kernel k-means. To do…
Read MoreA prospective design of a social assistive electronic system for the elderly
Aging is a natural process that progressively introduces limitations in a person’s life, which can have dramatic effects on the person’s lifestyle and wellbeing and in most cases is related to the strength of the person’s social bonds with the family and friends group. Therefore, it is important to maintain these bonds in the various…
Read MoreFactors Affecting the Adsorption of Trivalent Chromium Ions by Activated Carbon Prepared from Waste Rubber Tyres
Economic gains are generally the outcome of industrialization and consequently urbanization. However, positive fiscal index generates a negative impact on natural environment sources heaving pollutant burden on soil, air and water. Industries throw tones of contaminated water into soil and water bodies without proper treatment and create a potential threat for both living and non-living…
Read MoreOptimizing the front-end power solution for automotive ADAS systems
In this paper the front-end power solution for automotive ADAS electronic systems is analyzed. The increased complexity of electronic systems in ADAS automotive brings new challenges for hardware design, especially with regard to improving the efficiency of the switched-mode power supply while maintaining the overall cost reasonably low and keeping the occupied area on the…
Read MoreThree-Dimensional EEG Signal Tracking for Reproducible Monitoring of Self-Contemplating Imagination
Electroencephalography (EEG) can globally monitor neural activity in millisecond scale, which is critical for identifying causality of human brain functions and mechanisms. However, to obtain accurate EEG stimulation-response relationship one usually needs to repeat multiple-ten times of stimulation-response recording to average out background signals of other irreverent brain activities, making real-time monitoring difficult to be…
Read MoreSoft Handoff Evaluation and Efficient Access Network Selection in Next Generation Cellular Systems
The increased motivation (by service providers) to offer user-centric and seamless communication services – that satisfies users’ quality of experience (QoE), has manifested a myriad of challenges in the field of wireless communication; and given the increased traffic capacity and sudden explosion of cellular devices, communication systems are constantly threatened by performance related issues –…
Read MoreA Secure Automated Elevator Management System and Pressure Sensor based Floor Estimation for Indoor Mobile Robot Transportation
In this paper, a secure elevator handling system is presented to enable a flexible movement of wheeled mobile robots among laboratories distributed in different floors. The automated handling system consists mainly of an ADAM module which has the ability to call the elevator to the robot’s current floor and to request the destination floor. The…
Read MorePlanning an Availability Demonstration Test with Consideration of Confidence Level
The full service life of a technical product or system is usually not completed after an initial failure. With appropriate measures, the system can be returned to a functional state. Availability is an important parameter for evaluating such repairable systems: Failure and repair behaviors are required to determine this availability. These data are usually given…
Read MoreLifelong Learning Application: Mobile Application to Promote Lifelong Learning and Introduce Educational Institutions
Education is the raising of the thinking process and developing the mind in a broader perspective. However, education that is comprehensive and appropriate to the individual according to its potential, ability and skill is too hardest to describe. Thus, matching and referral institutions, including education model that suits the person’s behavior has been receiving attention.…
Read MoreModeling and Control of Collaborative Robot System using Haptic Feedback
When two robot systems can share understanding using any agreed knowledge, within the constraints of the system’s communication protocol, the approach may lead to a common improvement. This has persuaded numerous new research inquiries in human-robot collaboration. We have built up a framework prepared to do independent following and performing table-best protest object manipulation with…
Read MoreOn the Performance of a Clustering-based Task Scheduling in a Heterogeneous System
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-based scheduling. In those algorithms, the response time cannot be effectively reduced if the given workflow job is data-intensive. If the workflow job is computationally intensive, an attempt is made to assign tasks to many processors, which can lead to resource starvation.…
Read MoreEstimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Interconnection of the power system utilities and grids offers a formidable dispute in front of design engineers. With the interconnections, power system has emerged as a more intricate and nonlinear system. Recent years small signal stability problems have achieved much significance along with the conventional transient constancy problems. Transient stability of the power system can…
Read MoreAn Efficient Authentication Method For Smart Card Verification In Online
The great cards are getting a charge out of a critical part inside the on-line managing wherever we have tendency to can’t check the cardholder up close and personal. The phishing sites may parody the data in the middle of the customer website and along these lines the common webpage. To protect the data and…
Read More
