Miracle-dz/UniFAR-FTUs huggingface dataset:
An Image Processing Computer Which Learns By Example

The cytocomputer, an image processing computer employing logical neighborhood operations similar to cellular automata transition functions has been developed. Various sequences of cytocomputer operations transform a primitive image configuration (a single dot) into various geometric shapes. A system has been developed which, when presented with an image containing some shape, produces a sequence of cytocomputer operations which generates that shape. The system uses a genetic algorithm to find the correct sequence of operations. In the genetic algorithm, strings of cytocomputer commands play the role of chromosomes, and undergo reproduction, crossover, and mutation in a process that mimics the scheme evolution uses to find increasingly fit biological organisms. The commands for generating a shape, once known, can be transformed for use in a pattern matching process which detects the presence of the shape in an image.
Errores ortográficos como recursos comunicativos

Desde el punto de vista de la linguistica cognitivo-prototipica se considera que los fenomenos pragmaticos motivan los medios de expresion. Nos ocupamos en este caso de la ortografia. Especificamente, sostenemos que el sujeto que conoce el recurso de la acentuacion grafica, pero que por alguna causa no se siente condicionado por la normativa, hace uso de la estrategia de asignacion de acento grafico para manifestar enfasis en su mensaje. Borzi y Garcia Jurado (2001) analizaron la relacion enfasis/acento grafico en verbos monosilabicos con [ie] (fie). El presente trabajo profundiza el estudio de asignacion de acento grafico en monosilabos, asignacion que se hace para manifestar enfasis en alguno de los siguientes aspectos: 1) en la presencia del hablante en el mensaje (en el ordenamiento de la escena); 2) en cierta informacion (la mas nueva, la mas comprometida con el hablante o la relativa al desarrollo de la accion). Se espera que los resultados abran una via alternativa para el diseno de estrategias destinadas al proceso de ensenanza-aprendizaje de la ortografia del espanol.
The use of templates to manage on-line discussion forums

In higher education, online discussions are an integral part of collaborative based e-Learning systems. However, there can be problems associated with current online discussion models. For example, it can be easy to set open-ended discussions which attract little participation and assessing contributions can be difficult or timeconsuming. Students may not achieve the expected learning outcomes without proper structure and management in online discussions. This paper proposes a web-based environment for online discussions where the facilitator can structure each discussion according to its nature and learning requirements using already designed templates. Features include setting mandatory sections to address, assessment weighting, release dates and archiving options. Students can prepare and post their messages and responses using the discussion forum interface. The facilitator may assess students’ messages, mark them and release them to other responders for review. The discussion can be automatically archived for further discussion or reference. Students should find the proposed structured online discussion model easier to follow, while the facilitator will have more control over the activity and find it easier to assess and re-use. Templates can help in structuring this process.
Towards better capturing inter-speaker information by active learning for speaker identification

In our previous work (2000), we proposed a novel way to capture inter-speaker information with a neural network for speaker identification system. In this paper, an active learning algorithm is presented for improving the generalization ability of the neural network towards better capturing inter-speaker information. Comparative results on the KING speech corpus show that our method leads to a considerable improvement, in particular, for the narrow-band set.
ASSESSING THE PRODUCTIVITY OF OLD ENGLISH –læcan

The aim of this paper is to analyse the productivity of the Old English weak verbs suffixed with -laecan . The main sources for this research are the lexical database of Old English Nerthus and The Dictionary of Old English Corpus . The assessment of productivity is based on the distinction between type-frequency (dictionary-based) and token-frequency (corpus-based). This work contributes to a methodology for assessing the productivity of a morphological process in a historical language as well as for dealing with very low indexes of productivity. The conclusion is reached that the type-frequency of -laecan is relatively high, whereas its productivity is considerably low. It may be affirmed then that a type-frequency higher than token-frequency is compatible with a rather unproductive affix. Finally, the analysis evidences that -laecan suffixed verbs are much more frequent in prose and glosses than in poetry.
Attitudinal Correlates of Selected Nigerian Librarians Towards the Use of Information Technology

Abstract The explosion of information technology (IT) since the beginning of the 20th century rendered manual-based library systems, in academic, research, special and public libraries, irrelevant. Implementing information technology in the digital age depends largely on librarians' attitudes. This study examines the attitudinal correlates of selected Nigerian librarians towards the use and application of IT in their libraries. Forty-one librarians were surveyed from the four selected automated libraries in state of Oyo in Nigeria form the study's population. Two research questions were developed to guide the study. The results indicate that four out of the five variables age, gender, educational qualifications and prior knowledge of IT significantly correlate with the librarians' attitudes towards IT. The other variable, IT anxiety, correlates negatively with the librarians' attitudes towards IT. Findings further show that all the five variables significantly predict librarian's attitude towards IT with prior IT experience showing the greatest predictive effect. Based on these findings, libraries in the developing countries should consider sending their librarians, who do not have knowledge of IT, to IT training in order to remove fear and anxiety hindering them from developing a better attitude towards the use of IT in their libraries.
A Novel Method for Minimum Comprehensive Cost Network Coding in Wireless Network

Existing minimum cost network coding algorithms are basically optimized by a single indicator. This paper proposed a novel network coding method for minimum comprehensive cost, by the integration of multiple cost indicators. In the process of solving the problems by genetic method, the proposed algorithm realized the global optimal by the application of comprehensive cost indicator. Simulation results and analysis show that the proposed algorithm can significantly reduce the cost of network coding, while the computational complexity slightly increased.
Software maintenance: a profile of past empirical research

The authors examine empirical software maintenance research reported from 1978 through 1987 and categorize the research according to placement, origin, and nature of research to determine what has been done in the past. A model of software maintenance is presented and used to derive classification characteristics. To aid in the investigation, an exhaustive electronic keyword search was made of abstracts found in Computer Database Abstracts and the INSPEC Computer and Control Abstracts. The full abstracts for the articles found in the searches were scrutinized by the researchers to determine whether they were appropriate. Based on this technique, summary and trend statistics are presented to characterize the state of empirical software maintenance research. Questions concerning the nature and future direction of software maintenance research are presented that aid in the process of internalizing the current state of empirical software maintenance research. <<ETX>>
Definition and initial case-based evaluation of hardware-independent robot skills for industrial robotic co-workers

We propose a hierarchical action framework which facilitates easy and intuitive robot instruction, allowing non-experts to instruct and use industrial robots. The framework is based on flexible, generic and hardware-independent robot Skills, which are executed through the use of a Robot Virtual Machine. We demonstrate the feasibility of our approach through case studies of real industrial tasks which are not automated today, due to the high cost of reconfiguration.
Experiments with a Multiprocessor

In this report we summarize four years of experience with the Multi-Maren multiprocessor laboratory. We have preferred to work with problems concerning software, in particular whether there are algorithms that can utilize the potentially very large processing power of a multiprocessor. We have found that this is certainly the case and in the report we present a few of these fast multiprocessor algorithms. On the other hand we have also found a number of examples where the gain in using a multiprocessor is very small. In all these examples the limiting factors are inherent in the algorithm, they are not hardware bottlenecks. We justify this somewhat surprising claim by showing that even in multiprocessors with an order of magnitude more processors than ours it is unlikely that hardware bottlenecks will limit the performance.
Handoff effects in microcellular systems

A teletraffic system model has been developed for the Melbourne central business district, based on the microcellular mobile concept. A set of simulations has been developed to evaluate the implications of the use of very small cells on the traffic performance in this specified service area. This model is used to investigate the balance between the new call blocking and the handoff call blocking for such a system. <<ETX>>
Difficult forms: critical practices of design and research

As a kind of 'criticism from within', conceptual and critical design inquire into what design is about – how the market operates, what is considered 'good design', and how the design and development of technology typically works. Tracing relations of conceptual and critical design to (post-)critical architecture and anti-design, we discuss a series of issues related to the operational and intellectual basis for 'critical practice', and how these might open up for a new kind of development of the conceptual and theoretical frameworks of design. Rather than prescribing a practice on the basis of theoretical considerations, these critical practices seem to build an intellectual basis for design on the basis of its own modes of operation, a kind of theoretical development that happens through, and from within, design practice and not by means of external descriptions or analyses of its practices and products.
Simulation of Linear and Nonlinear Circuits for Symbolic Analysis and Transient Response

For pedagogical reasons, classroom examples of analysis are usually performed symbolically. A student can frequently attain insight as to the relative effects of various circuit elements when they have symbolic labels. A prototype program has been devised which is capable of determining symbolic equations for a class of circuits. The equations are written in FORTRAN type notation. Although the original intention of the program was to determine circuit state equations, several other applications exist. For instance, dc analysis, such as that which is required for steady-state analysis, may be performed. If a circuit is linear, it is possible to obtain a transfer function for which the s polynomial coefficients are symbolic. Transient responses often yield information which is not discernible from symbolic relationships. For this reason, a companion program which integrates the state equations determined by the preceding program has been written. Currently, the integration routine must be run separately by the user. This entails the insertion of the state equations and other integration control statements. It is believed that a program which relieves the user from this task will be available by the time this paper is published. Numerical examples are also included in the paper.
Dynamic wordlength variation for low-power 3D graphics texture mapping

The texture mapping stage, which facilitates high quality 3D graphics applications, consumes a significant amount of power for real-time processing because of its high computation and memory access requirements. An investigation into techniques that reduce its power consumption and provide scalable power-quality trade-offs is needed for its popular use in handheld devices such as PDAs. Two techniques and an associated architecture are presented, which achieve variable power savings by exploiting the perceptual tolerance of the end-user. These techniques leverage the lower weights of certain texture pixels and the correlation present between the neighboring texture pixels for supporting dynamic wordlength variation. A methodology is developed for fast power and error estimation based on realistic 3D graphics workloads. Power savings of about 21% at a slight quality degradation have been demonstrated and scalable power-quality trade-offs of more than 50% can also be achieved. The techniques can also be used for other stages of 3D graphics and image filtering.
Non-Statistical Multi-Beamformer

In this paper, a multiple beamforming technique is presented by using a direct data domain least squares (D3LS) approach. Direct data domain approach is very suitable for real time applications since it utilizes only a single snapshot of data as opposed to statistical approaches where multiple measurements have to be taken and the covariance matrix has to be formed. It is also very effective especially in the case of blinking jammers where the statistical approaches will fail or needs to perform additional tasks to overcome it. It has been previously shown that the D3LS can successfully handle only one or two Signal of Interests (SOI). Here, we have developed a new technique where multiple SOI can be handled simultaneously. Numerical simulations have shown that the new approach can maximize the signals from the direction of the SOI at the same time minimizing the jammers. The new approach can be successfully applied in the satellite communications, Over the Horizon Radars (OTHR) as well as wireless communications to detect or track multiple targets simultaneously.
Sensor fusion for a biometric system using gait

We consider a multimodal biometric system which authenticates people based on their gait. Computationally efficient techniques were developed to extract characteristic gait features from ground reaction force and video data of the walking subject. Specifically, the data consists of one classifier based on the ground reaction force and three based on visual features. A new variant of the generalized principal component analysis is used to efficiently reduce data dimensionality and to optimize class separability. A technique based on the Bayes risk criterion subsequently integrates the multiple classifiers. The proposed multimodal approach significantly increases recognition robustness and reliability. Experimental results showed an equal error rate of less than 0.3% which makes the method applicable for medium security applications.
Integrating INQUERY with an RDBMS to Support Text Retrieval.

Information is a combination of structured data and unstructured data. Traditionally, relational database management systems (RDBMS) have been designed to handle structured data. IR systems can handle text (unstructured data) very well but are not designed to handle structured data. With present day information being a combination of structured and unstructured data, there is an increasing demand for an IR-DBMS system that incorporates features of both IR and DBMSs. We discuss a framework that incorporates powerful text retrieval in relational database management systems. An extended SQL with probabilistic operators for text retrieval is deened. This paper also discusses an implementation of the probabilistic operators in SQL.
UM MODELO MATEMÁTICO APLICADO AO DIMENSIONAMENTO E SEQUENCIAMENTO DE LOTES EM MAQUINAS DISTINTAS EM PARALELO COM ESTOQUES INTERMEDIÁRIOS LIMITADOS

This paper presents a mathematical model for batch sizing and scheduling with parallel machines consisting of a stage facing the manufacture of other items and the test run, where between these stages, there is the possibility of maintaining an intermediate stock items, which has limited capacity and storage costs . The problem is the sequencing and scheduling of items in parallel machines as well as sending these items to test cells, where items are subjected to functional testing for a fixed time in a high-temperature environment. This paper introduces one facing the implementation of an established demand for the planning horizon mathematical model, and by optimizing the use of cell load test, preventing its use with empty spaces in order to reduce costs in the production of various types of items that make up the production mix. To validate the model, we propose an application to real data obtained from a manufacturer of electronic items which is solved using CPLEX.
Sparse MIMO Array for Improved 3D mm- Wave Imaging Radar

For imaging radar, higher angular resolution is essential, yet it requires a larger number of antenna elements in enlarged regular arrays. By using antenna-array sparsity, improved imaging performance can be achieved without the increase of antenna elements and the corresponding cost. A two-step synthesis procedure is developed and validated with a model of a 3D MIMO mm-wave imaging radar. Through simulations, it is shown that with a sparse transmit and receive array, an improvement in beam-width and side-lobe levels in the virtual array patterns for MIMO radars can be achieved. The model is confirmed by an experiment using the Walabot-60GHz radar from Vayyar.
Smell and Taste Metaphors in J. Harris’ and E. Bauermeister’s Novels: a Functional Aspect

This article considers the issue of smell and taste sensory imagery in terms of its verbal representation in Chocolat and Blackberry Wine by the British writer Joanne Harris and in The School of Essential Ingredients by the American author Erica Bauermeister. The research focuses on the role and functions of olfactory and gustatory imagery in the novels, as well as their metaphoric expression. Smell and taste imagery is regarded in terms of personality identification, social situation and cognition, as well as a reflection of empirical, aesthetic, and psychological experience.
Informatique graphique, modélisation géométrique et animation

Ce traite est decoupe en deux parties, l'une dediee a la modelisation geometrique, l'autre a l'animation. Depuis 25 ans le domaine de la modelisation geometrique a connu un large essor, caracterise par un foisonnement heteroclite d'approches et de modeles. La premiere partie de ce traite, regroupe, en 6 chapitres, les principaux modeles de representation des objets utilises de nos jours : les modeles classiques, les modeles topologiques, les surfaces parametriques, les surfaces implicites, et la modelisation sous contraintes. L'animation par ordinateur consiste a faire evoluer dans le temps une scene d'objets modelises. La seconde partie de ce traite parlant de l'animation est decoupee en 4 chapitres : animation traditionnelle par ordinateur, animation par deformations et metamorphoses, animation par modeles generateurs et animation comportementale.
Decomposing TAG Parsing Algorithms Using Simple Algebraizations

We review a number of different ‘algebraic’ perspectives on TAG and STAG in the framework of interpreted regular tree grammars (IRTGs). We then use this framework to derive a new parsing algorithm for TAGs, based on two algebras that describe strings and derived trees. Our algorithm is extremely modular, and can easily be adapted to the synchronous case.
Classification and analysis in supervised mixture-modelling

This paper describes an algorithm that is an extension of mixture-modelling to supervised clustering. It is demonstrated to be as accurate as current state-of-the-art machine learning algorithms across various data sets, and significantly more accurate than distance-based supervised clustering algorithms. Most significantly, it combines the classification itself with the calculation of rich information about the probabilities of class membership, the significance of attributes in relation to a classification, and the data space described by the data items and attributes.
Semantic Web for manufacturing Web services

Automatic Web service discovery and execution is receiving a lot of attention within the Web applications community. Web services aim to reduce the collaboration costs and increase productivity by automating the enterprise processes. In this paper, we explore and illustrate the potential use of semantic Web in the context of manufacturing services. In particular, we identify benefits of explicitly encoding semantics of the manufacturing Web services.
Present and Future Industrial Applications of Bio-Inspired VLSI Systems

Biology can be a rich source of inspiration for engineers. In particular, designers of VLSI processing circuits and systems can draw inspiration from several aspects of the brain. Inspired from evolution, the opportunistic exploitation of all the properties of the technology provides very efficient analog circuit techniques. The collective computation carried out by the brain in its massively parallel architecture can be emulated on silicon. Strategies like learning and adaptation are very beneficial to VLSI processing. The same is true for the unusual ways used by the brain to represent signals and information. Four industrial chips developed with this bio-inspired approach are described, as well as several experimental circuits that demonstrate its potential for future products.
Hardware and software for a power-aware wireless microsensor node

This thesis examines important issues in th design of hardware and software for microsensor networks, with particular attention paid to mechanisms for providing power awareness. The μAMPS Revision 1 microsensor node is used as an example. The design of this node implementation is described in detail, including, in particular, the design of the μAMPS processor board and its power-scalable architecture. The operating system and application programming interface for the node is described. Finally, an analysis is made of the power consumed by each of th node’s subsystems, and these results are used to predict the degree of power-awareness provided by the μAMPS Revision 1 node. Thesis Supervisor: Anantha Chandrakasan Title: Associate Professor
A comparison of SOM based document categorization systems

This paper describes the development and evaluation of two unsupervised learning mechanisms for solving the automatic document categorization problem. Both mechanisms are based on a hierarchical structure of self-organizing feature maps. Specifically, one architecture is based on the vector space model whereas the other one is based on a code-books model. Results show that the latter architecture performs better than the first one which is based on the quality of the returned clusters.
Improving wrist force/torque sensor measurements through a data fusion technique

The authors present a real-time estimation scheme for improving wrist force/torque sensor measurements through a data fusion technique. The currents of joint servomotors are measured as a redundant data source for data fusion. The computational results of the model-based control method are used to reduce the extra amount of computation required for estimation. Robot joints are fully instrumented to obtain necessary dynamic information about robot motion. Simulation results reveal that the performance of the estimation scheme depends on the sampling period of the robot controller and the a priori knowledge of the measurement noise processes. <<ETX>>