Miracle-dz/UniFAR-FTUs huggingface dataset:
New divided-source structure to eliminate instability of threshold voltage in p-channel flash memory using channel hot-hole-induced-hot-electron programming

A divided source structure for p-channel flash memory is introduced to eliminate the threshold voltage instability during operation. The instability comes from the strong hot electron gate current of unselected cells having been programmed. The unselected cells will suffer from undesired programming, which creates an undesired leakage of unselected cells during the read operation. The proposed structure enables the source of unselected cells to be raised up to -3 V, which inhibits the channel hot electron generation efficiently due to reduction of the lateral field. Thus stability of the threshold voltage is achieved.
Nederlands Voor Buitenlanders: De Delftse Methode

The Delft Method is a so-called 'natural' method: the material corresponds as much as possible to the way in which people learn their first language. Characteristic properties of the material are: 1) integral presentation of the basic grammar at the beginning of the course, 2) presentation of a large and well-selected vocabulary, 3) complex lexical and grammatical exercises, 4) constant feedback, 5) absence of grammatical terminology.The Delft Method, as used at Delft University of Technology, is meant for students aged about 18, has a very high tempo and presupposes a lot of independent student activity. The course material is also used by students outside the university, coming from a much younger age category, having a considerably lower level of education and proceeding at a slower rate. A first comparison of the results shows that the method is natural enough to be successfully used by very heterogenous groups. Differences in the time used can be explained partly by differences in experience in studying: in this view people trained in studying learn a second language faster than could be expected ? by nature'.
Voltage endurance characteristics of epoxy/silica nanocomposites

Two kinds of epoxy/silica nanocomposites, specifically Aerosil and Nanopox specimens, were prepared to clarify the effect of nano-filler dispersion and of coupling agents on electric field endurance. According to SEM observation, nano-fillers were well dispersed in the former specimens, while some agglomeration was found in the latter specimens. This difference caused different characteristics for partial discharge resistance and treeing resistance. Partial discharge resistance was improved only by adding nano-fillers, and treeing resistance was improved not only by adding nano-fillers but also by uniformly dispersing the nano-fillers. Coupling agents were also effective for treeing resistance in both kinds of specimens. It was then clarified that nano-fillers and coupling agents could improve partial discharge and treeing resistance, but that treeing resistance could be upgraded or degraded depending on the level of nano-filler dispersion. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(12): 65–73, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.10338
Gender classification from video under challenging operating conditions

The literature is abundant with papers on gender classification research. However the majority of such research is based on the assumption that there is enough resolution so that the subject’s face can be resolved. Hence the majority of the research is actually in the face recognition and facial feature area. A gap exists for gender classification under challenging operating conditions—different seasonal conditions, different clothing, etc.—and when the subject’s face cannot be resolved due to lack of resolution. The Seasonal Weather and Gender (SWAG) Database is a novel database that contains subjects walking through a scene under operating conditions that span a calendar year. This paper exploits a subset of that database—the SWAG One dataset—using data mining techniques, traditional classifiers (ex. Naïve Bayes, Support Vector Machine, etc.) and traditional (canny edge detection, etc.) and non-traditional (height/width ratios, etc.) feature extractors to achieve high correct gender classification rates (greater than 85%). Another novelty includes exploiting frame differentials.
Nonlinear Optics in Fiber Gratings

Abstract We discuss two aspects of nonlinear propagation of fiber gratings. The first of these is grating solitons, which were recently observed experimentally. Grating solitons exist because of the balancing of nonlinearity and grating dispersion. The second is the nonlinear interaction occuring when a strong pump pulse and a weak signal pulse copropagate through a grating. This is predicted to lead to pulse compression and enhanced parametric amplification of the signal pulse. Although these latter effects have not yet been observed experimentally, the required parameters are comparable to those for observing grating solitons.
The Hidden Web

As much as 90 percent of the matter in the universe is not visible, according to estimates by some astronomers, Similarly, recent studies conclude that there is much more Web content than the portion ‘visible’ to common search engines. Recent studies clearly document that only a fraction of Web resources can be identified by conventional search engines. Indeed a seminal report concludes that the public Web is significantly larger than previously believed, more than 500 times greater by some calculations (BrightPlanet, 2001). This hidden portion of the Web is commonly referred to as the “Invisible” or “Deep” Web. Typical deep Web sites are specialized, subject-specific databases, and other sites that cannot be directly queried due to registration or license requirements, firewall protection, or search engine exclusion. In this second Sci-5 review, five Deep/Invisible Web sites and services are profiled, each with a particular approach that reveals the Hidden Web.
Model reference adaptive control with multi-rate type neural network for electro-pneumatic servo system

In this paper, we propose a design scheme which combines a model reference adaptive control with a neural network (NN) for the electropneumatic servo system. In this design scheme, we adopt a multirate type NN in which an update-time of weights is selected as multiple of a sampling-time. The effectiveness of the proposed design scheme is confirmed by experiments using the existent electropneumatic servo system.
Design and implementation of a scheme based on link-load ranking to reduce advertisements in OSPF-TE networks

: This paper reports an experiment result of the design and implementation of a link-load ranking (LLR) scheme for open shortest path ﬁrst traﬃc engineering (OSPF-TE) networks where routing control is centrally performed by a network controller. The network controller needs to know the maximum link load in the network to enhance routing performance by minimizing the maximum link load. The LLR scheme reduces the number of advertisements in the network. Only the necessary information is advertised. All action cases of entire link load are conﬁrmed using a link load changing scenario in the ex-periment. Results show that our design and implementation performs as the idea of the LLR scheme.
A system for controlling software inspections

Software inspections are a powerful tool for detecting faults in software during the early phases of the life cycle. Deciding when to stop inspections is an important determinant of inspection effectiveness. Capture-recapture (CR) models can be used to estimate defect content, and hence help to make a reinspection decision. We present Monte Carlo simulations of six CR models. The objective is to find the best CR model. This builds on previous work by simulating the context of high-reliability systems. The results indicate that model MtCh, which underestimates median relative error, gives zero failures and has the best decision accuracy.
Microwave dual‐band power amplifiers using two‐frequency matching

In order to deal with a variety of wireless communication systems, multichannel capabilities are being introduced into cellular phones. In the future, in order to attempt reduction in size and weight by using multichannel capabilities of various wireless devices, it will be necessary to realize multichannel operation of passive circuit elements, mixers, and amplifiers. This paper presents the current status of multichannel operations of active circuits, especially amplifiers, for which multichannel capabilities are difficult to provide. In addition, the status and challenges of the microwave dual-frequency matched dual-band GaAs FET power amplifiers being developed by the authors' group on the basis of the low-pass Chebyshev impedance transformers are discussed. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 89(5): 17–24, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.20234
A Research on Impedance Control Based on ANN Inverse System for Robot Manipulator

Because of lacking the imprecise mathematical model is a difficult problem in the area of dynamic control for robot manipulator. In this paper, a novel scheme which can realize the decoupling for robot by ANN inverse system in the inner loop and control the position and force in the outer loop is presented. The method is studied in the environment of Matlab and is realized by a manipulator in Lab. Analyzed from the experiment result, this algorithm is very feasible and it provides a basis for the further research.
Management development: new agendas for information professionals

Reviews some of the key issues and strategies associated with current thinking on management development, starting from the perspective that appropriate management development is a prerequisite to economic success in the 1990s. Since information professionals may be located in a variety of different organizations and in the duration of a career may make several career moves between different organizations and types of employment status, it is important that they share responsibility for their own personal development strategy with that of their employing or contracting organization. Where appropriate, this personal development plan must include management development. Organizations, on the other hand, need to establish appropriate management development programmes to support the development of management skills in all of their managers. Both parties need then, to be committed to management development and need to meet to agree shared objectives for specific time periods. This meeting is often part of an a.
Implementation of a digital wide-band mobile channel simulator

This paper addresses the implementation of a powerful wide-band mobile channel simulator, which is based on two state-of-the-art 32-bit floating point DSP processors. A key feature of this simulator is the ability to be reconfigured through a common serial interface and virtually simulate a wide variety of different channel models. Additionally, this simulator can be useful to the study of space diversity for it can be arranged to provide two groups of Rayleigh fading signals whose correlation coefficient can be adjusted between zero and one.
Extração de fósforo disponível em um Latossolo assistida por irradiação ultrassônica

Um dos maiores desafi os na fertilidade do solo e a mensuracao da realdisponibilidade de um determinado nutriente as plantas. Por esse motivo, varios metodostem sido propostos, envolvendo extratores quimicos e formas de agitacao. Com este trabalho,objetivou-se obter uma curva de extracao de fosforo em solucao Mehlich-1 assistida porenergia ultrassonica, avaliar se a intensidade da cavitacao exerce infl uencia na extracao de Pe comparar com a extracao convencional. Amostras da camada superfi cial (0-20 cm) de umLatossolo Vermelho Distrofi co foram previamente incubadas (30 dias) com diferentes dosesde P: 0 (controle), 20, 40, 80 e 160 mg kg–1. Depois do periodo de incubacao, procedeusea extracao ultrassonica em solucao Mehlich-1. Como referencia, realizou-se tambema extracao convencional pelo mesmo extrator. A extracao ultrassonica de P em solucaoMehlich-1 aumentou linearmente com a dose de P aplicada, nao havendo indicativos deuma readsorcao de P durante a sonifi cacao. Foi obtida uma correlacao signifi cativa entre aextracao ultrassonica e a agitacao convencional, ambas em solucao Mehlich-1. A intensidadeda cavitacao, produzindo a mesma quantidade de energia total aplicada, nao infl uenciou aextracao de P.
Research of the speaker verification based on the SVM-GMM mixture model

We put forward a new SVM-GMM mixture model to improve recognition rate of the speaker verification system in the paper. Support vector machines (SVM) and Gaussian mixture model (GMM) are widely applied to the speaker verification, but both have some disadvantages. We present a new approach for speaker verification based on their feature. The new model introduce the output of the Gaussian mixture model to Support vector machines, in order to adjust the probabilistic output of the support vector of machines. It can compliment support vector machines with probabilistic information. The experiments have proved that SVM-GMM mixture model can effective enhance the recognition rate of the speaker verification system.
An improved K-means clustering algorithm in agricultural image segmentation

Image segmentation is the first important step to image analysis and image processing. In this paper, according to color crops image characteristics, we firstly transform the color space of image from RGB to HIS, and then select proper initial clustering center and cluster number in application of mean-variance approach and rough set theory followed by clustering calculation in such a way as to automatically segment color component rapidly and extract target objects from background accurately, which provides a reliable basis for identification, analysis, follow-up calculation and process of crops images. Experimental results demonstrate that improved k-means clustering algorithm is able to reduce the computation amounts and enhance precision and accuracy of clustering.
A digital video library application in health care

Telemedicine allows patient information rather than the patient to be transported to the doctor. Through analysis of one existing telemedicine system that supports neurosurgical consultation it has been determined that many routine questions of the expert specialist could be handled by a knowledge system. Rather than using expert systems technology, a specific application of digital library technology, the synthetic interview is proposed. Synthetic interviews involve novel integration of language and image understanding technologies.
The Research on Embedded Database System of Wireless Network

Wireless embedded database system is more complex and flexible than conventional computing environment. Embedded database computing platform requires more technologies such as asymmetric mobility, instability connected topology diversity, network communications, highly scalable systems, low reliability. This paper described the design and development process of embedded database, analyzed the database indexes, data storage and lexical analyzer. It supports CAPI interfaces and standard SQL subset, also supports ODBC or JDBC and bi-directional data exchange, and has a two-way flow of data between the central database and the embedded database.
Improving Vietnamese Word Segmentation and POS Tagging using MEM with Various Kinds of Resources

Word segmentation and POS tagging are two important problems included in many NLP tasks. They, however, have not drawn much attention of Vietnamese researchers all over the world. In this paper, we focus on the integration of advantages from several resourses to improve the accuracy of Vietnamese word segmentation as well as POS tagging task. For word segmentation, we propose a solution in which we try to utilize multiple knowledge resources including dictionary-based model, N-gram model, and named entity recognition model and then integrate them into a Maximum Entropy model. The result of experiments on a public corpus has shown its effectiveness in comparison with the best current models. We got 95.30% F1 measure. For POS tagging, motivated from Chinese research and Vietnamese characteristics, we present a new kind of features based on the idea of word composition. We call it morpheme-based features. Our experiments based on two POS-tagged corpora showed that morpheme-based features always give promising results. In the best case, we got 89.64% precision on a Vietnamese POS-tagged corpus when using Maximum Entropy model.
Safe Human-Robot Cooperation in an Industrial Environment

The standard EN ISO10218 is fostering the implementation of hybrid production systems, i.e., production systems characterized by a close relationship among human operators and robots in cooperative tasks. Human-robot hybrid systems could have a big economic benefit in small and medium sized production, even if this new paradigm introduces mandatory, challenging safety aspects. Among various requirements for collaborative workspaces, safety-assurance involves two different application layers; the algorithms enabling safe space-sharing between humans and robots and the enabling technologies allowing acquisition data from sensor fusion and environmental data analysing. This paper addresses both the problems: a collision avoidance strategy allowing on-line re-planning of robot motion and a safe network of unsafe devices as a suggested infrastructure for functional safety achievement.
The operation of the elliptic curve cryptology in IPv6

Abstract At the present time, the encryption of the public key cryptology and the digital signatures are based on the RSA (Rivest-Shamir-Adleman) algorithm. Whenever a user needs to transmit data during a secured transaction, the data are protected with encryption, but to keep up with the latest advancement of the intercept technology, the RSA (Rivest-Shamir-Adleman) algorithm also needs to increase the byte length; the increased byte length affects the computer operation time and increases the amount of transferred data and relatively, causes heavy burden herein. This research discusses the lesser burden with the elliptic curve cryptology; how to operate it in the new generation internet and compares the performance of Elliptic Curve Cryptology to RSA in IPv6 protocol in order to understand its relevant efficiency.
Application of nonlinear control strategies to aircraft at high angle of attack

Nonlinear control strategies as applied to a high-alpha vehicle are discussed. The intent is to evaluate these methods for their benefit and advantage over conventional gain-scheduled linear controllers. Several techniques and their associated mechanisms are identified. The test aircraft used is the X-29, which is particularly suited for manoeuvering at a high-alpha regime. A classical linear controller designed by Grumman and NASA is used for comparison. <<ETX>>
Mathematical and CAD framework for proximity correction

Fast lithography simulation and its use in optical proximity correction (OPC) is the topic of this paper. We summarize a model-based OPC system which uses simulation in a feedback loop to generate corrections to the mask. At the heart of our OPC system are tools for fast simulation of the optical and process physics of lithography. For image simulation, we apply a sum of coherent systems approximation to Hopkins partial coherence model and then use lookup tables for high speed sparse image simulation over arbitrary mask geometry. Image intensity simulation at a single point is achieved with O(Me) computation where Me is the number of polygon edges in a region surrounding the point. This allows more than 10,000 aerial image points per second and mask image perturbation speeds of 51,000 points per second on an HP700 workstation. A simplified physically based, empirically parameterized resist model is then used to determine edge placements, given the image intensity samples. Together, these systems make up a 'process-tuned' simulation model which can be used for OPC. The accuracy of the overall model is shown by comparing to empirical measurement data. By integrating the fast simulation tools with our OPC system, we can correct a 48 X 27 micrometers 2 area in 6 iterations at 96 sec/iteration.
The Ontology Inference Layer OIL

Currently computers are changing from single isolated devices to entry points into a worldwide network of information exchange and business transactions. Therefore, support in the exchange of data, information, and knowledge is becoming the key issue in computer technology today. Ontologies provide a shared and common understanding of a domain that can be communicated between people and across application systems. Ontologies will play a major role in supporting information exchange processes in various areas. A prerequisite for such a role is the development of a joint standard for specifying and exchanging ontologies. This paper deals with precisely this necessity. We will present OIL which is a proposal for such a standard. It is based on existing proposals such as OKBC, XOL and RDF, and enriches them with necessary features for expressing rich ontologies. The paper presents the motivation, underlying rationale, modeling primitives, syntax, semantics, and tool environment of OIL. With OIL, we want to make a proposal that initiates a discussion leading to a useful and well defined consensus amongst a large community which could use such an approach.
MULTICHANNEL DECONVOLUTION FILTERING OF FIELD RECORDED SEISMIC DATA

Several writers have proposed the use of multichannel filters for the elimination of coherent noise on seismic records. One filter of this type which can be constructed is a multichannel Wiener filter which has a multichannel input and a single channel output. In this form, it is applicable to data collected for vertical or horizontal common‐depth‐point stack processing. The choice of desired output characteristics for this Wiener filter is flexible and, for example, can be tuned to correspond to multichannel deconvolution. The results of the application of filters of this type to field and synthetic data, in general, show little if any advantage over single‐channel deconvolution. This failure appears to be connected with the low cross coherence of both noise and reflection signal on field‐recorded, common‐depth‐point traces.
Development of innovative indoor/outdoor air quality monitoring for environmental impact assessment in the State of Qatar

Air pollution is one of the most crucial factors affecting the quality of life and health of increasingly urban populations; a country with a fast-growing economy based on hydrocarbons such as Qatar is no exception. In addition to the adverse impact of air pollution on humans, animals and plants, the presence of dust and air-borne particulate matter affect negatively the efficiency of solar panels used for power generation. In this project, a comprehensive wireless solution is proposed for monitoring and measuring the levels of some known harmful gases such as CO2, NO2 and CH4 as well as other environmental parameters such as dust, temperature, humidity, solar irradiance, pressure, wind-direction and wind speed. Data is collected by appropriate sensor nodes (NI-WSN) that communicate wirelessly (using IEEE 802.15.4 protocol) with a host computer (Gateway) that receives, processes, stores and displays the collected information via LabVIEW environment, which represents the software part of the project (Programming and GUI Design). The data processing part includes analysing the environmental parameter levels, which is later used to study the efficiency of using solar panels in Qatar. The complete system has been implemented and successfully tested in a chosen site within Qatar University Campus. In the long term, we hope that the data collected from our air quality monitoring system will help in areas of research related to environmental monitoring and developing systems that correlate indoor and outdoor readings to the operation of an indoor HVAC system.