Miracle-dz/UniFAR-FTUs huggingface dataset:
Epileptic EEG Classification Based on Rough Set Approach

The detection and classification of epileptic Electroencephalogram (EEG) are significant in the treatment of patients with epilepsy. This paper concerns EEG classification based on Rough Set Theory (RST). RST is an efficient method for reduction of attributes and creation of decision rules, which have successfully been applied in various medical areas. Decision making was performed in 3 stages: the first stage is feature extraction by using discrete wavelet transformation (DWT) and statistical means. The next stage is discretization of these features and the last stage is classification using the classifiers trained on the discretizated features. In this study, RST was implemented for classification of five types of EEG data sets (A, B, C, D and E), each of which with 100 data rows. A and B were obtained from healthy volunteers while their eyes are open and closed respectively. C and D were obtained from epileptogenic zone and hippocampal region across hemisphere of patients prior to surgery respectively. E is obtained from patients during seizures. A few combinations of data samples for testing the performance of RST were used. The experimental results showed that this technique can acquire a high accuracy in classification of epileptic EEG signals. For various combinations of epileptic EEG signals the accuracy was ranged from 98.8% to 100%. Keywords: EEG, epilepsy, rough set theory, classification;
International initiatives in authority control

The requirement for and development of the Anglo‐American Authority File (AAAF) is described. The mechanics of its production and updating are indicated and its role within British Library cataloguing practice examined. Further developments of the file are discussed and developments through IFLA towards international exchange of authority data are described, indicating both opportunities and difficulties. The EC‐funded project AUTHOR is outlined and, finally, the British Library’s work with the Library of Congress and American Library Association on extending LCSH to works of fiction is described.
Efficient Mesh Generation Using Subdivision Surfaces

Polygonal meshes and particularly triangular meshes are the most used structure for 3D modelling. The ‘di­rect edges’ data structure is the most efficient way to represent them and subdivision surfaces is an appropri­ate method to generate them. From a review of subdivision surfaces we chose the ‘√3 subdivision’ method for mesh generation. Our main challenge was to take advantage of the direct edges data structure and to find the right formulas for an efficient imple­mentation. We decided to use files in the 3DS file format and convert them to the direct edges data structures for use in our application. We tested our algorithm with arbitrary mesh topologies and calculated efficiency. Our implementation will be used in the creation of a virtual dog head.
An analysis of medical device communication standard IEEE 1073.2

We analyze pre-standard ENV 13735 of the upcoming IEEE 1073.2 standard, which standardizes some communication protocols between dynamically interconnected medical devices. The latter standard is currently under development, which gives us an opportunity to influence its final contents using our results. The approach we use is to make formal models of the protocols, and to analyze them using the modelchecking tool Spin. Our analysis revealed several omissions, inconsistencies and other types of errors in the protocols and their descriptions. We discuss possible sources of these problems, and propose some fixes.
Keyword Indexing and Searching for Large Forensics Targets using Distributed Computing

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Concurrent simulations of xerographic subsystems

The primary objective of this work is to develop computing capabilities to enable computational prototyping as a complementary and parallel path to the hardware product development process. The evolution of a systems approach, capturing aspects of information generation, processing, visualization, transfer, and reuse, within a sharable, multimedia, electronic environment, is crucial to the integrated design process of the future. We discuss a general computing environment to support the multi-level (process-device-material) simulations of xerographic subsystems. This environment features: distributed computing, concurrent processing, network sharable information and tools, a visual programming interface, dynamic computing and visualization, and interactive steering. We describe the implementation of the testbed environment and the mathematical simulations, from first principles, of the charging, imaging, and development subsystems. Generic algorithms developed for these subsystems are discussed. Interactive steering of dynamical solutions and browsing of visual data are emphasized. A model for multi-level simulation is proposed to support the decision making process. A visual programming interface is used to encapsulate the simulation and visualization tools as modules which can then be visually assembled into dataflow networks on Unix workstations. Mathematical formulations, parallel computing on clusters of workstations, and their use in interactive sessions are detailed.
Big? Smart? Clean? Messy? Data in the Humanities

This paper is about data in the humanities. Most of my colleagues in literary and cultural studies would not necessarily speak of their objects of study as "data. " However, in the humanities just as in other areas of research, we are increasingly dealing with "data. " With digitization efforts in the private and public sectors going on around the world, more and more data relevant to our fields of study exists, and, if the data has been licensed appropriately, it is available for research. The digital humanities aim to raise to the challenge and realize the potential of this data for humanistic inquiry. As Christine Borgman has shown in her book on Scholarship in the Digital Age, this is as much a theoretical, methodological and social issue as it is a technical issue.
MicroWorlds and the integrated brain

MicroWorldsTM is a derivative of Logo, and also belongs to a family of computer tools known as multi-media applications. Such applications have a visual richness that is highly attractive to children with a visual learning preference. Through brain hemisphere theory some would characterise these children as having a dominant right brain hemisphere, or at least as strongly preferring to use the right hemisphere in most learning situations. Certainly, many children with strongly visual expressive and learning characteristics seem to also have language deficits, suggsting that the left hemisphere is playing a lesser part in their learning. A number of the children reported on here, for example, scored very low on verbal reasoning tests, displayed severe spelling deficits and had difficulty writing in conventional non-computer environments. The same children scored very high on a non-verbal test, and continually indulged in visual play (such as constructions, drawings, cartooning, three-dimensional modelling etc.), often to a very advanced level.It has taken neuro-psychology over 100 years to unpack the secrets of brain hemisphere specialisation through the so-called "split-brain" research, but in the last few years of the 20th century neuroscience began to reveal the importance of the integration of the hemispheres for effective learning. This report will examine some cases of Grade 5 children (10 years of age) with a strongly dominant right hemisphere (visual) learning preference who demonstrate considerable advances in language and mathematical skills when problem setting using a visually rich computer medium such as MicroWorlds. It draws on work by Harel and Papert (1991) with Logo and building a constructivist environment, and on the ideas of neuropsychologists such as Ornstein (1997) and Beeman and Chiarello (1998). The initial observations arose after the introduction into a coeducational primary school in Melbourne, Australia, of a scheme of universal notebook computer ownership and the consequent learning outcomes that occurred after the implementation phase. The observations led to a research project involving children's writing, and classroom observations of both writing and mathematical outcomes. It suggests that the unfolding knowledge of brain hemisphere integration should underpin educational planning for the very important role for the computer for children with visually preferred learning styles. The study also suggests that a very strong importance should be attached to the availability of visually rich, creative and open-ended software, and a constructivist environment in the classroom where children are allowed and encouraged to dare to set their own problems within the learning framework.
An artificial intelligence approach to musical grouping analysis

Work on modelling music cognition now seems to be at the stage where theories concerning the ongoing processes of musical understanding are required. This paper describes and critically assesses algorithms for two possible approaches to modelling how listeners process the ‘musical surface’ of discrete pitches to produce high level grouping structures in memory, being (i) syntactic processing using a grammar of chord function, and (ii) knowledgebased recognition of stereotypical phrase-level structures, using a system of frames (Minsky 1977). An integrated and resource limited system is described, which combines a parser of musical chord function with schema-based expectations concerning grouping structures. Major problems include describing how real-world knowledge of musical context is brought to bear on the listening experience, and integrating the processing of grouping structure within a broader theory of musical cognition.
Improvement of word recognition results by trigram model

A trigram language model based on word categories is introduced in order to improve word recognition results by use of linguistic information. A trigram model based on word sequences requires a lot of memory and training samples to store and estimate its probabilities. To avoid these almost unsolvable problems, a trigram model of words whose probabilities are estimated from the trigram of categories and word occurrence probabilities in the dictionary is introduced. The probabilities of the trigram of categories and the word probabilities in the dictionary are estimated using the Brown Corpus Text Database[1]. This trigram model is efficiently applied to improve word recognition results using a dynamic programming technique. Moreover, probabilities of special word sequences (frozen word sequences) are extracted from the Brown Corpus Text Database and these probabilities are also integrated in the dynamic programming algorithm. Word recognition through speaker adaptation is carried out using three input speakers from the IBM office correspondence task database[3]. The word recognition rate was 80.9%. The trigram model improves the word recognition rate to 89.1%.
Comparison of neural network adaptive predistortion techniques for satellite down links

In this paper, we present adaptive predistortion techniques for two satellite down links. The first link is a memoryless amplifier that gives two kind of distortions: amplitude distortion (AM/AM conversion) and phase distortion (AM/PM conversion). The second link is an amplifier with memory modeled by a memoryless amplifier followed by a linear filter. Predistortions are realized with multilayer perceptron (MLP) neural networks (NN) associated with the backpropagation (BP) algorithm. For the first down link we compare two adaptive predistorsions whereas only one predistorsion technique is applied to the second down link.
Improved algorithm for direct mean torque control of an induction motor

An improved algorithm of Direct Mean Torque Control (DMTC) of an induction motor is presented. DMTC combines the good dynamic performance of Direct Torque Control (DTC) with the advantages of time equidistant control algorithms for digital implementation in signal processor based systems. The predictive algorithm allows even to exploit machines with extremely small leakage inductance. At low speed, the new flux controller allows to decrease the torque ripple. At high speed, a new algorithm to calculate the on-time of voltage vectors shows a better switching behaviour and even less torque ripple, whereas the dynamical performance is kept. The basic idea is to estimate the inevitable torque ripple in steady state and match it at the end of the cycle. Thus, the mean torque is directly controlled as well. The criteria how to choose the appropriate vector depend on the state of the machine and the deviations of flux and torque. The algorithms are well suited for an implementation on digital signal processor based systems with less external hardware requirement. Simulations and experimental results confirm the validity of the control scheme.
CDMA downlink chip-level MMSE equalization and finger placement

In CDMA downlink, MAI arises due to the loss of orthogonality of the spreading codes for each user in frequency-selective channels. We analyze the system when a linear equalizer is used for chip estimation. The analysis is conducted for a general model when arbitrary finger placement with or without multiple receiver antennas is used, of which many CDMA downlink linear receivers are special cases. We show that the equalizer designed to minimize the chip MSE differs only by a scaling factor from the equalizer that maximizes output symbol SNR or minimizes symbol MSE. The performance of the equalizer depends heavily on the finger placement scheme. We propose two low complexity strategies for suboptimal finger placement. One is based on a recursive sequential search and the other is based on heuristic arguments of interference cancellation. Simulation shows that both resulting schemes can achieve similar performance as uniformly spaced tapped-delay-line equalizer but with a much smaller number of fingers.
Validation of remote‐sensing precipitation products for Angola

In situ ground observation measurement of precipitation is difficult in sparsely populated areas with trying access conditions, as is the case in many countries in Africa. The use of remote sensors installed in satellites can be very useful in overcoming this challenge, enabling the improvement of the spatial variability description of this variable and the extension of data series.
Étude et développement d'une plateforme photonique moyen infrarouge sur silicium : vers des capteurs intégrés

Aujourd’hui, les puces et capteurs provenant de la microelectronique ne sont plus simplement des circuits electroniques mais peuvent desormais vehiculer des signaux electriques et optiques. En temoignent les puces dites photoniques, utilisees pour la transmission de donnees a tres haut debit. Cependant, cette technologie exploite une part tres restreinte du spectre de la lumiere, situee dans le proche infrarouge. L’exploitation de l’ensemble du moyen infrarouge (λ=2-20 µm) permettrait la mise au point de nouveaux capteurs integres se servant des empreintes spectrales specifiques des molecules dans cette partie du spectre electromagnetique.L’objet de cette these est de developper des circuits optiques integres sur silicium capables de vehiculer ces longueurs d’onde et qui soient compatibles avec des procedes de fabrication en salle blanche 200 mm. La technologie developpee dans ces travaux est basee sur des guides carres a saut d’indice en Si₀,₆Ge₀,₄ enterres dans le Si, afin d’obtenir des circuits compactes et a faibles pertes. La conception des fonctions optiques necessaires a la construction des circuits est tout d’abord presentee. Ces fonctions sont ensuite assemblees pour former un circuit optique qui sera fabrique puis caracterise afin de valider les performances de la technologie developpee. Deux circuits ont ainsi ete fabriques : un premier a ete realise avec un procede standard tandis que le deuxieme a ete fabrique avec un procede de type damascene. La premiere realisation offre l’avantage d’utiliser des procedes connus, tandis que la deuxieme permet de fabriquer des guides pour differentes longueurs d’onde sur une meme puce. Ces deux circuits ont ete caracterises afin de mener une etude comparative entre les deux procedes de fabrication. Enfin, dans un soucis de monter en maturite de la plateforme, une etude approfondie des reseaux de couplage sur des guides Si₀,₆Ge₀,₄ a ete conduite. Celle-ci a donnee lieu a la fabrication et a la caracterisation de deux reseaux : un constitue d’inclusions d’air et un deuxieme localement suspendu.
Kernel korner: the Linux test project

A hand truck wherein the load supporting platform is pivoted to swing from its operative position to a substantially flush and collapsed position against the front of the lower part of the frame, and wherein the upper and handle portion of the frame is pivoted to the lower part of the frame to swing from its operative position to a collapsed position overlapping the platform when the latter is collapsed. A fastener is provided for alternatively securing the upper portion of the frame in its operative and inoperative positions.
SSL Protocol 기반의 서버인증

The Transmission Control Protocol/Internet Protocol (TCP/IP) governs the transport and routing of data over the Internet. Other protocols, such as the Hypertext Transport Protocol (HTTP), Lightweight Directory Access Protocol (LDAP), or Internet Messaging Access Protocol (IMAP), run "on top of" TCP/IP in the sense that they all use TCP/IP to support typical application tasks such as displaying web pages or running email servers.
Adaptive Rapid Serial Visual Presentation

Can readability on small screens be improved by using Rapid Serial Visual Presentation (RSVP) that adapts the presentation speed to characteristics found in the text? In this thesis Adaptive RSVP is introduced together with two algorithms for adaptation. Findings from a usability evaluation, where the ability to read long and short texts on a mobile device in a realistic setting was assessed, are reported. In a balanced repeated-measurement experiment employing 16 subjects two variants of Adaptive RSVP were benchmarked against Fixed RSVP and traditional text presentation. No significant differences were found for reading speed and comprehension for long texts but for short texts all RSVP formats increased reading speed by 33%. For long texts Adaptive RSVP decreased task load compared to Fixed RSVP and repeated use of RSVP, regardless of type, was also found to decrease task load. No differences in task load were however found for short texts. Causes, implications and effects of these findings are discussed together with directions for further work.
A Review on Quantised Compressive Sampling in Dense Wireless Sensor Networks

-Compressive Sampling is an developing principle that is founded on the circumstances that a comparatively trivial number of arbitrary projections of a motion can comprise maximum of its outstanding information. In this paper, we have reviewed the concept of Compressive Wireless Sensing for WSNs in which a fusion cente repossesses indication area data samples from a collaborative of spatially dispersed sensor nodes. Energy and bandwidth are threatened resources in WSNs and the relevant metrics of attention i.e. 1) the latency elaborated in data retrieval; and 2) the accompanying power distortion. It is usually predictable that the given adequate prior information about the sensed information there exist provisions that have very positive power distortion latency trade-offs. Compressive wireless sensing is a worldwide structure in the sense that it necessitates no prior information about the sensed statistics. This paper presents review on WSNs and compressive sensing.
Reusable software component retrieval via normalized algebraic specifications

Abstract : Efforts in the software engineering community to reuse code are hampered by a lack of tools. Reusability is particularly beneficial in a rapid prototyping environment. Rapid prototyping with automated reusable software component retrieval is a software development method to rapidly construct and adapt software, validate and refine requirements, and check the consistency of proposed designs. This dissertation describes a tool used within the Computer Aided Prototyping System (CAPS), developed at the Naval Postgraduate School, which retrieves reusable components from a software base using a formal specification as the search key. The query specification that represents a design requirement is compared to formal specifications of Ada reusable software components stored in an object-oriented database management system. A syntactic search compares specification interfaces, identifying reusable candidates based on types of parameters. The semantic search rank orders a set of candidate components based on semantic similarity to the query. The method, called query by consistency, compares terms that are reduced in the axioms of each specification. Specifications are normalized to facilitate the matching between query specifications and reusable component specifications in the retrieval. A formal proof verifies that query by consistency can retrieve components guaranteed to meet specified requirements.
Computing the probability density in connectionist regression

We introduce a non-parametric method for determining the degree of uncertainty in prediction and show its use in a regression problem. We designed and tested a neural network which performs a prediction and gives a measure of the precision of the prediction. Outputs consist of a set of normalized exponential units which produce an estimate of the continuous probability density function p(ylx). The variance of this distribution can be interpreted as the uncertainty in the classification. The distribution can also be used for calculations of percentiles and higher order moments. <<ETX>>
Zipf, Power-laws, and Pareto-a ranking tutorial

Zipf's law usually refers to the 'size' y of an occurrence of an event relative to it's rank r. George Kingsley Zipf, a Harvard linguistics professor, sought to determine the 'size' of the 3rd or 8th or 100th most common word. Size here denotes the frequency of use of the word in English text, and not the length of the word itself. Zipf's law states that the size of the r'th largest occurrence of the event is inversely proportional to it's rank: y ~ r-b, with b close to unity.