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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…

Day by day, data grows exponentially large using advanced technology and it requires effective analytical techniques to analyze the unknown and useful facts, patterns, associations and new trends which will provide new way for giving treatment to diseases and to provide good quality healthcare at low cost for everyone. This paper describes uncover valuable insights,…

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…

Pluggable controllers are a different way to design control constructors such as if, while, do, switch, and operators such as short circuit con-junction (&&) and the “?.” operator of the Swift programming language. Adoption of pluggable controllers enables the final user to modify and extend the control flow constructs (if, while, etc.) of an underlying…

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.…

The Cognitive Radio usage has been estimated as non-emergency service with low volume traffic. Present work proposes an infrastructure based Cognitive Radio network and probability of success of CR traffic in licensed band. The Cognitive Radio nodes will form cluster. The cluster nodes will communicate on Industrial, Scientific and Medical band using IPv6 over Low-Power…

Recent standards, legislation, and best practices point to data center infrastructure management systems to control and monitor data center performance. This work presents an innovative approach to address some of the challenges that currently hinder data center management. It explains how monitoring and management systems should be envisioned and implemented. Key parameters associated with data…

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.…

In this paper, Constant False Alarm Rate (CFAR) detection of spatially distributed targets embedded in compound Gaussian clutter with Inverse Gamma texture is addressed. By taking into account the fact that clutter parameters are unknown in practical situations, we propose mean level based on Lookup Tables detectors, that operate as a two-step approach, which consists…

In this paper we propose our genetic algorithm for solving the SAT problem. We introduce various crossover and mutation techniques and then make a comparative analysis between them in order to find out which techniques are the best suited for solving a SAT instance. Before the genetic algorithm is applied to an instance it is…

Multiprocessor Systems-on-Chip (MPSoC) allow the implementation of heterogeneous architectures with a high integration capacity. In recent years, computational requirements MPSoC are increasing exponentially. This complexity, coupled with constantly evolving specifications, has forced designers to consider intrinsically flexible implementations. Deploying applications typical of multimedia domains is difficult, not only due to the heterogeneous parallelism in the…

A3S(Arwin-Adang-Aciek-Sembiring) is a method of information fusion at a single observation and OMA3S(Observation Multi-time A3S) is a method of information fusion for time-series data. This paper proposes OMA3S-based Cognitive Artificial-Intelligence method for interpreting Transformer Condition, which is calculated based on maintenance data from Indonesia National Electric Company (PLN). First, the proposed method is tested using…

Wavy FinFET is a hybrid device that integrates FinFET and Ultrathin Body FET technologies on SOI platform to provide high density and drivability without causing area penalty. The problem associated with this device is higher leakage and lower threshold voltage. This problem can be solved by structural modification of the device. This work analyses the…

Modeling of direct expansion (DX) air conditioning and heat pump systems can be necessary in developing energy saving methods required to reduce energy consumption in buildings. The artificial neural networks (ANN) can be simple and reliable as compared to traditional methods. A properly trained artificial neural network can provide accurate results, while being relatively straightforward…

The importance of Modelling Methods Engineering is equally rising with the importance of domain specific languages (DSL) and individual modelling approaches. In order to capture the relevant semantic primitives for a particular domain, it is necessary to involve both, (a) domain experts, who identify relevant concepts as well as (b) method engineers who compose a…

Purpose: To conduct preliminary research for developing a program to enhance resilience, a topic that has generated attention of late. Methods: We compared the Structured Association Technique (SAT) resilience program and an exercise program. The citizen’s lecture on stress management occurred 1 month after East Japan Earthquake, and the intervention was carried out in the afternoon of…

Extreme Learning Machine (ELM) is a high effective learning algorithm for the single hidden layer feed forward neural networks. Compared with the existing neural network learning algorithm it solves the slow training speed and over-fitting problems. It has been used in different fields and applications such as biomedical engineering, computer vision, remote sensing, chemical process…

Enterprise Resource Planning (ERP) systems are widely used applications to manage resources, communication and data exchange between different departments and modules with the purpose of managing the overall business process of the organization using one integrated software system. Due to the large scale and the complexity nature of these systems, many ERP implementation projects have…

In order to characterize the waste water in Duhok valley in Duhok governorate, during 25km, seven sites were selected in Duhok valley, to represent their water quality. Monthly samples were collected from the Duhok valley for the period from, April to September, 2015. The qualitative study of Duhok valley water tested, as considered one of…

Over the years, pneumatic systems have recorded a remarkable performance in automated applications, based on their cost to efficiency ratio and ease of energy transmission.  Therefore, their drawback of not being totally controllable devices in terms of position accuracy, still represents a challenge task for engineers. In this paper, a traditional three term controller (PID)…