Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiency Boosting for PV Systems- MPPT Intelligent Control Based

Nowadays renewable energy techniques for power production are mature and reliable. The photovoltaic (PV) energy is the most promising source of energy since it is pollution free and abundantly available everywhere in the world. PV energy is especially beneficial in remote sites like deserts or rural zones where the difficulties to transport fuel and the lack of energy grid lines make the use of conventional resources impossble. Pumping water in these sites is a vital task that requires a feasible source of energy to supply power to the electrical elements of the pumping structure.
Term Extraction and Automatic Indexing

33.1 Basic Notions 33.1. 1 What is a term? 33.1. 2 Linguistic work on terms in context 33.1. 3 Terms in thesauri 33.2 Term-Oriented NLP 33.2. 1 Fields of activity in term-oriented NLP 33.2. 2 Some milestones in term acquisition 33.2. 3 Some milestones in monolingual term recognition and automatic indexing 33.2. 4 Bilingual term acquisition 33.3 Recent advances and prospects Further
AIS Electronic

MIS researchers have taken a great deal of efforts to explain why a user adopts an information system. Intention theories, such as Theory of Reasoned Action, Theory of Planned Behavior, and Technology Acceptance Model, have been widely used as fundamental models to explain user(cid:146)s adoption. Although such intention theories allow MIS researchers to investigate factors that motivate users to adopt an information technology, they could not be used to explain why a user prefers one technology to another. Such a problem could be obviously seen when a user resists adopting a new technology since he/she prefers the one currently in use. This study proposes an idea of integrating preferential choice knowledge into existing intention theories to solve such problem. A new theory, namely Theory of Preferred Technology (TPT), is proposed and validated. The results of LISREL support this study(cid:146)s hypotheses and a new scale measuring user(cid:146)s preference is validated. The result of this study could be used as a guideline to investigate how likely a new technology could compete with one that is currently in use.
Concrete syntax and semantics of the compositional interchange format for hybrid systems

Abstract The compositional interchange format for hybrid systems is syntactically and semantically defined in terms of an interchange automaton in an abstract format, allowing among others differential algebraic equations, variables that can be internal or external, operators for parallel composition, action hiding, variable hiding and urgent actions, synchronization by means of shared labels, and communication by means of shared variables and CSP channels. A concrete format is defined for modeling. Its semantics is defined in terms of a mapping to the abstract format. The concrete format adds inputs, outputs and open and closed scopes to enable modular and hierarchical specifications. The concrete format is illustrated by means of a bottle filling line example.
A wide swing 1.5 V fully differential op-amp using a rail-to-rail analog CMFB circuit

Design and simulation results of a CMOS fully differential op amp using continuous time rail-to-rail CMFB are presented. In the conventional source follower CMFB circuits because of substantial level shift due to V/sub GS/ of source follower, outputs are restricted to have severed limited swing. In this paper two NMOS and PMOS CMFB are composed as complementary CMFBs to allow free output swing. The circuit is then simulated in 0.13 /spl mu/m CMOS technology and performance parameters, which have been obtained, are much better than conventional methods. 2.4 v Peak-to-Peak swing and a CMRR of 118 dB have been achieved.
Open distributed client server model in an energy management system for power system security

The controlling functions in the SCADA/EMS system are increasing with the expansion of the power system network as the demand for power increasing. It is difficult to control the functions with the centralized system and rely on a single vendor. Current technologies employ distributed systems that are open (i.e. vendor independent solution) to control the SCADA/EMS functions. With open systems utilities, it tends to incrementally upgrade rather than completely replace the EMS systems. Various open distributed architectures have been proposed to shoulder the SCADA/EMS functions. This paper introduces the concept of open system and examines one of the distributed hardware configurations for open EMS. The proposed work modeled the above contingency analysis procedure for a case study of 6 bus, 11 line network, which was done by a dedicated application server on the pre-specified port.
PROC SQL: Beyond the Basics Using SAS

In their preface the authors ask, “Why another book on statistics? ” Their answer is that they have yet to find a single text that meets two specific needs of ecologists: a general introduction to probability theory including the assumptions of statistical inference and hypothesis testing and a detailed discussion of specific designs and analyses typical in ecology and environmental science. They suggest that their book should supplement more standard texts. Do ecology and environmental science deserve such special treatment? Yes. Many important problems in ecology lead to investigations where assumptions in standard techniques are not met, but students rarely receive further guidance in such cases. Experimental design in ecology is frequently more complex than the customary agricultural or biological examples provided in biometry texts. The authors devote two chapters to experimental design problems in ecology and provide considerable discussion of potential difficulties. The valuable chapter on multivariate analysis should provide enough background for ecology students to gauge suitability of this approach for their research. Chapter 5, “Three Frameworks for Statistical Analysis” is by far the most interesting and potentially the most revolutionary for teaching statistics to ecologists and environmental scientists. The authors pose the simple problem of estimating the number of ant colonies in a field and in a woodland. Hypothetical (unfortunately) data are presented of quadrat counts from both habitats, and then analyzed using a randomization procedure, a parametric analysis, and a Bayesian analysis. The concepts involved are well explained and the comparison in inferences is nicely illustrated. My only regret is that this approach was not developed and extended as a basis for the whole book. There are many advances in dependent data analysis and statistical modeling, which the authors mention in passing, that if included, could provide the ecology student with better analytical techniques and greater possibilities in designing and analyzing studies. The authors note that the majority of students do not have a facility in programming and urge them to get one. Perhaps that kept the authors from extensively connecting ecological research with current developments in statistics. However, if more recent developments are given a thorough exposition, perhaps that will stimulate ecologists to acquire the techniques necessary to use them.
Combining function points software estimation model with ADISSA methodology for systems analysis and design

The study proposes a combination of the function points model for software estimation with the ADISSA methodology for systems analysis and design. This combined approach, which is supported by a software tool, enables one to estimate various software metrics, such as size, effort, and duration, in the early stages of systems development, by basing them on the products of a thorough system analysis and design process.
Friction compensation via smooth adaptive dynamic surface control

This paper is dealing with a development of friction compensation scheme for positional set-point regulation at DC motor servomechanism via smooth adaptive dynamic surface control design. No exact knowledge of the friction model is required for the design of the controller. The global asymptotic stability is achieved using Lyapunov's direct method. Numerical simulation is presented to confirm the capability of the proposed scheme.
Retinal Vessel Segmentation: A Comparative Study of Fuzzy C-Means and Sum Entropy Information on Phase Congruency

As the use of robotic-assisted surgery systems continue to increase, highly accurate and timely efficient automatic vasculature detection techniques for large and thin vessels in the retinal images are needed. Vascular segmentation has however been challenging due to uneven illumination in retinal images. The use of efficient pre-processing techniques as well as good segmentation techniques are highly needed to produce good vessel segmentation results. This paper presents an investigatory study on the combination of phase congruence with fuzzy c-means and the combination of phase congruence with gray level co-occurrence (GLCM) matrix sum entropy for the segmentation of retinal vessels. Fuzzy C-Means combined with phase congruence yields a higher accuracy rate but a longer running time while compared to GLCM sum entropy combined with phase congruence. While compared with the widely previously used techniques on DRIVE and STARE databases, the techniques investigated yield high average accuracy rates.
Automatic Modeling Methods for Univariate Series

In this article, a unified approach to automatic modeling for univariate series is presented. First, ARIMA models and the classical methods for fitting these models to a given time series are reviewed. Second, some objective methods for model identification are considered and some algorithmical procedures for automatic model identification are described. Third, outliers are incorporated into the model and an algorithm, for automatic model identification in the presence of outliers is proposed.
Adaptive Volterra-based predistorter design for RF high power amplifiers

This paper presents an efficient digital baseband predistortion linearizer to compensate for the nonlinear distortions induced by RF high power amplifiers in wireless communication systems. The proposed approach utilize a fast RLS filtering algorithm based on V-vector algebra and an indirect learning architecture to update the coefficients of a Volterra-based-predistorter. No preliminary identification of the nonlinear characteristics of the HPA, as required by the conventional pth-order inverse methods, is needed with this approach. Simulation results show that high performance and low computational complexity are achieved in nonlinear systems with a TWT-type power amplifier.
Sampling for analytical purposes

THE QUALITATIVE APPROACH: ACHIEVING ACCURACY IN SAMPLING. How Can the Mass of a Lot L be Reduced? Heterogeneity and Sampling. Sampling Definitions. Objects in Three, Two, One or Zero Dimension(s). The Practical Sampling of Moving Streams of Material. Conclusions on the Qualitative Approach. THE QUANTITATIVE APPROACH: TAKING REPRODUCIBLE SAMPLES FROM A POPULATION OF NON--ORDERED OBJECTS. The Heterogeneity of a Population. Sampling: The Zero--Dimensional Model: The Fundamental Error FE. Sampling: The Zero--Dimensional Model: The Segregation and Grouping Error SGE. THE QUANTITATIVE APPROACH: ENSURING THE REPRODUCIBILITY OF SAMPLES TAKEN FROM A SERIS OF CHRONOLOGICALLY ORDERED OBJECTS. Heterogeneity: The One--Dimensional Model. Sampling: The One--Dimensional Model. THE QUANTITATIVE APPROACH: OTHER APPLICATIONS OF SAMPLING THEORY. Measurement of Mass by Proportional Sampling. Appendices. References. Index.
A neural network learning algorithm applying linear regression that determines and uses target values for hidden neurons

A neural network learning algorithm based on linear regression that determines and uses target values for hidden neurons is proposed. An additional key component of the proposed algorithm is the use of linear regression weighting factors derived from a physical representation of the neural network with spring representing weights. The algorithm applies linear regression to each neuron and requires very few iterations. It appears to have significant efficiency advantages over backpropagation for some situations, and, unlike a one-step linear approach, it is capable of learning nonlinear relationships. <<ETX>>
The digital wenker atlas (www.diwa.info): an online research tool for modern dialectology

The principal goal of the Marburg Research Centre “Deutscher Sprachatlas” is the study of dialects, nonstandard varieties, and regional varieties of the German language. This expands upon the institute’s original purely dialectological research focus to completely encompass the spatial and social variation of spoken German language. The dominating research goal of such variation-linguistic dialectology is the investigation of the structure and change of the entire spectrum of regional linguistic variation between the poles of standard language and base dialect. Wenker’s historic Sprachatlas des Deutschen Reichs is of special importance for the study of language change in German. Comparing Wenker data collected over 100 years ago with more recent but equally detailed data such as that from modern regional atlases allows a systematic analysis of the transformation of spoken language over more than a century. The Digital Wenker Atlas (DiWA) project in Marburg, which has just (2009) finished, is centred on the publication and academic analysis of Wenker’s linguistic atlas. The primary goal of this project has been the first complete publication of the 1,653 original maps of the Sprachatlas des Deutschen Reichs. The atlas has been made available online at http://www.diwa. info and is accessible for a broad public. This has also created a high-quality, searchable and navigable digital archive of the work. DiWA is, however, far more than an online version of the Sprachatlas des Deutschen Reichs. One special feature is the integration of the maps into a geographic information system (GIS) with cartographic, biographic and sound archive databases. Together with a transparency and overlay function, georeferencing makes it possible to superimpose a Wenker map over any other electronic map and directly compare them, locality for locality, to reach conclusions about dialect regions and the cooccurrence of dialectal phenomena. This opens up a unique window onto language change, when the Wenker maps are compared with those from contemporary regional dialect atlases. The transparency function is not restricted to purely linguistic maps of course; topographic, cultural-historical, or sociodemographic cartographic material can also be compared point for point, offering insights into the complex web of relations between language, space, time, and society.
Neurological EEG Monitors: A Review

This article presents a brief review of neurological monitors. Neurological monitors mainly utilize brain wave activity, namely, the electroencephalogram (EEG). The constituent components of the neurological monitor are the electrodes, amplifiers, analog-to-digital converter (ADC), and the monitoring display. Moreover, the monitor should provide digital storage and a readout of the ongoing EEG. Neurological diagnostic monitoring is accomplished using quantitative EEG analysis for assessment of the ongoing brain activity. The software of the monitor is designed to acquire and filter the raw EEG signal, remove artifacts, process the artifact-free EEG signal, and utilize quantitative analysis of EEG to interpret neurological status of the brain. As such, the EEG monitors can be classified into two main categories based on their use in data monitoring and display and their use in providing quantitative EEG measures derived for assessment and tracking of the brain electrical activity in disease and brain injury. Several quantitative EEG (qEEG) analysis methods used in the more advanced diagnostic devices are reviewed. The article conclude by describing the most common specifications of an optimized monitor. Keywords: neurological monitor; electroencephalogram; EEG; analog-to-digital converter; ADC
Modeling genetic network by hybrid GP

We present an evolutionary modeling method for modeling genetic regulatory networks. The method features a hybrid algorithm of genetic programming with statistical analysis to derive systems of differential equations. Genetic programming and the least mean squares method were combined to identify a concise form of regulation between the variables from a given set of time series. Results of multiple runs were statistically analyzed to indicate the term with robust and significant influence. Our approach was evaluated in artificial data and real world data.
Real-Time Hand Gesture Telerobotic System

{PG,1 The invention relates to a new and distinct variety of Blackberry plant most nearly resembling the Wild Blackberry which exhibits (1) an absence of thorns or prickles, (2) the common occurrence of palmately compound leaves having five leaflets, (3) sturdy canes which support an unusually large upright-arching plant, (4) unusually long trailing stems, and (5) substantially round berries which form in an unusually abundant quantity and ripen over an unusually extended period.
Dylan programming: an object-oriented and dynamic language

This book will be useful to anyone learning dynamic, object-oriented programming, whether it be in Dylan, Java, Smalltalk, or Lisp. - Andrew Shalit, author of The Dylan Reference Manual Dylan is a new programming language invented by Apple Computer and developed with Harlequin and other partners. The language is both object-oriented, like C++ and Java, and dynamic, like Smalltalk. Dylan is designed to deliver applications that run efficiently on a wide range of platforms. It also facilitates the rapid development and incremental refinement of prototype programs. Dylan is a good choice for any application, but you will find it particularly useful for complex object-oriented programs, and for programs that may need to be changed "on the fly. " Public-domain implementations of Dylan are available for most popular computer systems. Harlequin has developed the first complete, commercial implementation of the language--including both compiler and development environment. You will learn here the benefits of dynamic, object-oriented programming, and how to write practical Dylan programs. Dylan Programming gets you started quickly, with a simple but complete program that lets you experiment with the language. It then leads you progressively through the development of a sample application, illustrating advanced topics such as macros, modules, libraries, inher itance, performance, and exceptions. This book is appropriate for any Dylan implementation. It assumes that you can program in some conventional language, but requires no prior knowledge of object-oriented or dynamic techniques. The authors have all worked on Harlequin's Dylan product. Neal Feinberg manages the development of Harlequin's database technology. Sonya E. Keene, author of Object-Oriented Programming in COMMON LISP, publishes large documents on the World Wide Web. Robert O. Mathews was previously the OSF documentation project leader for Motif and DCE. P. Tucker Withington designs and develops automatic memory-management facilities for Dylan. Harlequin--The Late-Binding Companyo--is a 10-year-old, independent software firm specializing in symbolic processing, electronic publishing, World Wide Web, and intelligence analysis. Harlequin has offices in the United States, the United Kingdom, and Australia. 0201479761B04062001
The object-Z specification language: version 1

Preface This report presents Version 1 of Object-Z, an extension to the speciication language Z, which facilitates the speciication of systems in an object-oriented style. The report includes a concrete syntax and four case studies. Some aspects pertinent to object-oriented speciication are not in this version of Object-Z but are being investigated for possible future inclusion (see Section 7); in work already published (such as 5, 11]) some of these aspects have been discussed. We wish to thank OTC Australia for their nancial and technical support and
Nano-precision control of micromirrors using output feedback

Micromirror arrays may be used as spatial light modulators, to vary the amplitude and phase of an incident image. The difficulty of controlling analog micromirrors to within a fraction of a wavelength of the incident light, that is, to within a few nanometers, has led to the development and successful commercialization of digital devices, in which the components take one of only two possible configurations. In this paper we revisit true analog operation, in light of past advances in nonlinear control. Our focus is electrostatically actuated mirrors, for which control objectives include extending the range of motion, improving transient performance, improving positioning accuracy and preventing electrode contact. We consider two models of individual micromirrors, suitable for controller design. The first treats each micromirror as a rigid body, and allows arbitrary rotation and translation. This model is developed in the context of dynamics on the Lie group SE(3). We simulate the performance of an observer-based controller for this system. The second model, based on work by Pelesko, is developed directly from a PDE representation of an electrostatically forced membrane. We show via simulation that an unstable equilibrium point of this model may be stabilized by proportional output feedback.
The Meerkat multicomputer: tradeoffs in multicomputer architecture

The Meerkat Multicomputer: Tradeoffs in Multicomputer Architecture by Robert C. Bedichek Co-Chairpersons of Supervisory Committee: Professor Henry M. Levy Professor Edward D. Lazowska Department of Computer Science and Engineering A central problem preventing the wide application of distributed memory multicomputers has been their high price, especially for small installations. High prices are due to long design times, support for scaling to thousands of nodes, and high production costs. This thesis demonstrates a new approach that combines some carefully chosen restrictions on scaling with a software-intensive methodology. We used a concrete design, Meerkat, as a vehicle for exploring the multicomputer design space. Meerkat is a distributed memory multicomputer architecture effective in the range from several to hundreds of processors. It uses a two-dimensional, passive backplane to connect nodes composed of processors, memory, and I/O devices. The interconnect is conceptually simple, inexpensive to design and build, has low latency, and provides high bandwidth on long messages. However, it does not scale to thousands of processors, provide high bandwidth on short messages, or implement cache coherent shared memory. This thesis describes Meerkat’s architecture, the niche that Meerkat fills, and the rationale for our design choices. We present performance results obtained from our hardware prototype and a calibrated simulator to demonstrate that parallel numerical workloads work well on Meerkat.
The Finno-Ugric Languages and The Internet Project

This paper describes a Kone Foundation funded project called "The Finno-Ugric Languages and The Internet" together with some of the achieved results. The main activity of the project is to crawl the internet and gather texts written in small Uralic languages. The sentences and words of the found texts will be assembled into a freely available corpus. Crawling is done using the open source crawler Heritrix, which is developed by the Internet Archive. Heritrix crawls through the pages and passes the found texts to a language identifier. We are using a state of the art language identifier, which has been further developed within the project and has been evaluated using 285 languages. We describe the language identification evaluation results concerning the 34 Uralic languages known by the language identifier. We also describe the initial observations and results from the first five large crawls which were done in the national internet domains of Finland, Sweden, Norway, Russia, and Estonia.