Miracle-dz/UniFAR-FTUs huggingface dataset:
AlterEgo E-Mail Filtering Agent - Using CBR as a Service

With the growth and commercialization of the Internet, many busy people find themselves receiving more e-mail than ever before. Thus, e-mail filtering has become an important problem. Many mailers provide filtering based on the mail header: the sender, the domain of the sender, and the subject. In the first phase of the AlterEgo project, we are developing an e-mail filtering agent that uses the content of the whole message, plus a model of the world and a model of the user, including their important goals. Initially, Case-Based Reasoning seemed llke a promising master approach; messages that are similar to messages that were deemed important in the past should be important now. However, since the user’s world may often change significantly and sometimes suddenly, the relevant similarity to a past message may be at a very abstract level. This will result in an expensive search for similarity. Hence, in our initial prototype, we have developed an approach that is driven by model-based reasoning, and is aided by case-based reasoning.
Quantum Morphogenetic System in View-Invariant recognition

The QMS (Quantum Morphogenetic System) is a mathematical model devised to give a different more elegant and intuitive perspective of the pre-processing by assuming a non-Euclidean geometry. Input image is projected to the feature vector in terms of its contra-variant components which are interdependent. Image reconstruction is achieved by parallelogram summation of the vector of those components. View-Invariant recognition is achieved through the manipulation of association matrix which in geometrical perspective is a deformation of space towards a canonical point for all vectors which are being considered the same.
Migration of Persistent Object Models Using XMI

Embrace the change! Change is a constant reality of software development, a reality that must be reflected in not only our software process but also our software production environment. With ever-changing customer requirements, modifications to the object model are required during software development as well as after product distribution. The associated migration of existing persistent object data is a nontrivial problem. This chapter presents the conceptualization and implementation of a tool for the automated migration of persistent object models. The migration is controlled by an XMI-based description of the difference between the old and the new object model. Both, the schema and the data of the persistent object model are migrated efficiently and reliably.
Magnetic flares in accretion disc coronae and the spectral states of black hole candidates: the case of GX339-4

We examine the constraints that the observations of different spectral states displayed by Galactic black hole candidates impose on the properties of magnetic flares resulting from the reconnection of flux tubes that rise from the accretion disc into a corona because of the magnetic buoyancy (Parker) instability. Using observations of one of the best-studied examples, GX339-4, we identify the geometry and physical conditions characterizing each of these states. We find that, if in the soft state flaring occurs at small scaleheights above the accretion disc, a soft thermal-like spectrum, characteristic of this state, can result from the heating and consequent reradiation of the hard X-rays produced by such flares. The hard tail can then be produced by Comptonization of the soft radiation. Conversely, the hard state may result from a phase in which flares are triggered high above the underlying accretion disc and produce X-rays via Comptonization of either internal cyclo-synchrotron radiation or soft disc photons. The spectral characteristics of the different states are naturally accounted for by the choice of geometry: when flares are triggered high above the disc the system is photon-starved, hence the hard Comptonized spectrum of the hard state. Intense flaring close to the disc greatly enhances the local soft-photon field with the result that the spectrum softens. We interpret these two states as being related to two different phases of magnetic energy dissipation. We speculate that, in the soft state, Parker instability in the disc may favour the emergence of large numbers of relatively low-magnetic-field flux tubes. In the hard state, only intense magnetic fields become buoyant and magnetic loops are able to rise and expand in the coronal atmosphere. This possibility can also qualitatively account for the observed short time-scale variability and the characteristics of the X-ray-reflected component of the hard state.
Non-Linear GARCH Models for Highly Persistent Volatility

In this paper we study new nonlinear GARCH models mainly designed for time series with highly persistent volatility. For such series, conventional GARCH models have often proved unsatisfactory because they tend to exaggerate volatility persistence and exhibit poor forecasting ability. Our main emphasis is on models that are similar to previously introduced smooth transition GARCH models except for the novel feature that a lagged value of conditional variance is used as the transition variable. This choice of the transition variable corresponds to the idea that high persistence in conditional variance is related to relatively infrequent changes in regime. U sing the theory of Markov chains we provide sufficient conditions for the stationarity and existence of moments of the considered smooth transition GARCH models and even some more general nonlinear GARCH models. Empirical applications to two exchange rate return series show that the new models can be superior to conventional GARCH models especially in longer term forecasting.
Exploiting robot redundancy in collision detection and reaction

We present a method that allows automatic reaction of a robot to physical collisions, while preserving as much as possible the execution of a Cartesian task for which the robot is kinematically redundant. The work is motivated by human-robot interaction scenarios, where ensuring safety is of primary concern whereas preserving task performance is an appealing secondary goal. Unexpected collisions may occur anywhere along the manipulator structure. Their fast detection is realized using our previous momentum-based method, which does not require any external sensing. The reaction torque applied to the joints reduces the effective robot inertia seen at the contact and lets the robot safely move away from the collision area. If we wish, however, to continue the execution of a Cartesian trajectory, robot redundancy can be exploited by projecting the reaction torque into the null space of a dynamic task matrix so as not to affect the original end-effector motion. This leads to the use of the so-called dynamically consistent approach to redundancy resolution, which is further elaborated in the paper. A partial task relaxation strategy can also be devised, with the objective of keeping contact forces below a user-defined safety threshold. Simulation results are reported for the 7R KUKA/DLR lightweight robot arm.
No evidence that alcohol intoxication impairs judgments of learning in face recognition

Alcohol use is frequently involved in crime, making it crucial to understand the role of alcohol in facial recognition to maximize correct perpetrator identifications. Although the majority of the alcohol and face recognition research has investigated recognition with retrospective confidence judgments, we examined the effects of alcohol intoxication on face recognition with prospective metacognitive judgments. Participants (N = 54 university students without a history of hazardous alcohol/substance use) consumed either alcohol (mean breath alcohol concentration of 0.06 at pretest and 0.07 at post‐test) or a non‐alcoholic placebo drink. Participants then studied unfamiliar male and female faces and made judgments of learning (JOLs) for each face (i.e., predicted the likelihood of recognizing that face on a future memory test). After a brief distractor task, participants completed an old–new recognition test on which they attempted to distinguish the studied faces from new faces. It was found that the alcohol manipulation had minimal effect on face recognition performance or judgments of learning. Our results suggest that theory‐based cues about the effects of alcohol might play a greater role in retrospective judgments than prospective judgments. Although not a primary focus of the study, face recognition was better for male faces than female faces, and this occurred for both female and male participants. Limitations and implications of the research are discussed.
A normal form for compiler testing

A formalism is presented for obtaining a normal form to be used in representing programs for compiler testing. Examples are used to motivate the features that must be considered when developing such a formalism. It is particularly suitable for heuristically optimized code and has been successfully used in a system for proving that programs written in a subset of LISP are correctly translated to assembly language.
DQ Metadata for Decision Making: Pitfalls and Possibilities

In this study we examine the impact of providing data quality (DQ) metadata together with its associated data, on decision outcomes. Literature has shown that, when DQ metadata is provided to decision-makers along with the data, it is used, and when used, it can affect decision outcomes. Two key issues have not received sufficient attention: (a) does DQ metadata improve decision outcomes? (b) What characteristics of the decision-task and decision-maker support the effective absorption of DQ metadata? Our objective in this paper is to present our theoretical model and the preliminary results from our research that attempts to answer the questions above. We believe this study has important implications for the decision-environments that use DQ metadata
A probabilistic energy-efficient approach for monitoring and detecting malicious/selfish nodes in mobile ad-hoc networks

MANETs are networks composed of mobile nodes connected using the wireless medium to communicate each other. The MANET nature makes it subject to various types of security leaks. External nodes could interfere with the communication, fair nodes could be compromised at any time by malicious agents. Another issue regards the limited amount of energy available to nodes, so their behavior could become selfish under some conditions. Many proposals detect these behaviors using a trust management system, but the activity of packet monitoring is energy-consuming. The main aim of this proposal is the reduction of the energy required by the monitoring system without lowering detection performance. Various simulations show that the achievement of this result is obtained through the application of a probabilistic approach, having also better performance in terms of time needed to detect misbehaviors.
PERFORMANCE ANALYSIS OF MULTIPLE ANTENNA TECHNIQUES IN WiMAX

The modern wireless systems are required to have high voice quality and data rate. Since our concern is most with cattering environment, antenna diversity is a practically effective and widely applied technique to reduce the effect of multipath fading. In this regard, Multiple Input Multiple Output (MIMO) techniques are an essential part of the IEEE 802.16e - 2005 specifications, which form the basis of mobile WiMAX systems. Mobile WiMAX systems define the physical (PHY) layer and Medium Access Control (MAC) layer for mobile and portable Broadband Wireless Access (BWA) systems. The IEEE 802.16e-2005 specifications actually define three different PHY layers: Single-carrier transmission, Orthogonal Frequency Division Multiplexing (OFDM), and Scalable Orthogonal Frequency Division Multiple Access (SOFDMA). Considering the importance of WiMAX systems based on IEEE 802.16e-2005 specifications, my focus is on the MIMO techniques in the domain of WiMAX technology. This thesis work describes the cellular networks in the context of different Generations of cellular communication and brief overview of the WiMAX technology. Moreover it describes the multiple antenna techniques in order to discuss the throughput and Bit Error Rate (BER) performance. In addition it describes the simplest Space Time Block Code (STBC) known as Alamouti STBC. Furthermore the capacity of MIMO systems has been analyzed. Matlab Simulation has been performed and results are presented, which shows the good contribution in the classical research of WiMAX Wireless Broadband Access (WBA) technology.
The HoneyTank: a scalable approach to collect malicious internet traffic

In this paper, we propose an efficient method for collecting large amounts of malicious internet traffic. The key advantage of our method is that it does not need to maintain any state to emulate TCP services running on a large number of emulated end-systems. We implemented a prototype on the ASAX intrusion detection system and we provide several examples of the malicious activities that were collected on a campus network attached to the internet. We explain how we implemented various protocols in a stateless way. We also discuss how our method can be improved to make an accurate but still stateless emulation of stateful protocols.
Verification and analysis of dependable automotive communication systems based on HW/SW co-simulation

The introduction of FlexRay in the automotive industry as well as the standardization efforts for the hardware and software architecture rise different challenges: How to efficiently integrate the new services in the system, how to validate the communication architecture with respect to the effects influencing the network? The research project TEODACS aims at answering these questions. We present in this document a new validation approach for the communication architecture based on the simulation of the entire FlexRay network within a co-simulation framework. This environment largely reduces the processing resources required for simulation and thus makes the analysis of such complex system possible.
Small moving targets detection using outlier detection algorithms

Recent research in motion detection has shown that various outlier detection methods could be used for efficient detection of small moving targets. These algorithms detect moving objects as outliers in a properly defined attribute space, where outlier is defined as an object distinct from the objects in its neighborhood. In this paper, we compare the performance of two incremental outlier detection algorithms, namely the incremental connectivity-based outlier factor and the incremental local outlier factor to modified Stauffer-Grimson algorithm. Each video sequence is represented with spatial-temporal blocks extracted from the raw video. Principal component analysis (PCA) is applied on these blocks in order to reduce the dimensionality of extracted data. Extensive experiments performed on several data sets, including infrared sequences from OSU Thermal Pedestrian Database repository, and data collected at Delaware State University from FLIR Systems PTZ cameras have shown promising results in using outlier detection for detection of small moving targets.
A low power inductive-coupled transceiver for inter-chip communication

A novel low power 1-Gbps inductive-coupled transceiver in 0.18 µm CMOS technology is presented in this paper. It consists of a transmitter section which consumes 0.74 mW power and can operate upto 4 Gbps with pulse width of less than 250 ps. The transmitter generates current pulse through inductor both for positive as well as negative transitions of the input signal. The front-end of the receiver is designed using cascaded inverter stages for amplification. The further stages of the receiver consists of differential amplifier, a Schmitt trigger and T-flipflop which gives the final digital output. The transceiver consumes 1.77 mW power for 1-Gbps data rate.
Escalas de calidad de vida relacionada con la salud y funcionalidad en pacientes con patologías de hombro: revisión sistemática, evaluación estandarizada y validación de un cuestionario

El hombro, es una de las articulaciones mas flexibles del ser humano, hecho que lo hace susceptible a varias lesiones. En el ambito de la salud, los datos relacionados con el estado de una persona se pueden obtener mediante observacion clinica, por cuestionarios auto-cumplimentados de Calidad de Vida Relacionada con la Salud (CVRS), o por escalas que combinan ambos tipos de datos. Estos instrumentos tienen que contar con ciertas propiedades psicometricas, como la fiabilidad, la validez y la sensibilidad al cambio, entre otras. Se estudiaron las propiedades de 11 escalas de CVRS, que se usan en la patologia de hombro, y una de ellas se valido al castellano. Ademas, se revisaron y evaluaron las propiedades psicometricas de la escala funcional Constant-Murley score (CMS), en diferentes grupos de patologia de hombro. El CMS combina datos auto-cumplimentados con datos del especialista, y se considera por muchos como regla de oro en la evaluacion de la patologia de hombro. Se realizaron busquedas sistematicas y la evaluacion se realizo por pares de revisores, con la herramienta Evaluating the Measurement of Patient Reported Outcomes (EMPRO). Entre las escalas de CVRS evaluadas, la American Shoulder and Elbow Surgeons form (ASES-p), compuesta por 11 items fue la finalmente seleccionada. Nuestros resultados indican que ASES-p tiene validez convergente, sensibilidad al cambio y es reproducible. Los modelos factoriales y Rasch, apoyaron su uni-dimensionalidad. El item del deporte y la distribucion de la puntuacion en dos sub-escalas son aspectos que requieren de mas estudio. En cuanto a la escala CMS, la evidencia disponible sugiere que es sensible al cambio. Se puede usar para la evaluacion de sujetos con patologia sub-acromial, pero los datos no apoyan su uso en fracturas, inestabilidad, artritis y hombro congelado. El CMS no se puede percibir como regla de oro en la evaluacion de hombro.
Genome Assembly Anchored QTL Map of Bovine Chromosome 14

Bovine chromosome 14 (BTA14) has been widely explored for quantitative trait loci (QTL) and genes related to economically important traits in both dairy and beef cattle. We reviewed more than 40 investigations and anchored 126 QTL to the current genome assembly (Btau 4_0). Using this anchored QTL map, we observed that, in dairy cattle, the region spanning 0 - 10 Mb on BTA14 has the highest density QTL map with a total of 56 QTL, mainly for milk production traits. It is very likely that both somatic cell score (SCS) and clinical mastitis share some common QTL in two regions: 61.48 Mb - 73.84 Mb and 7.86 Mb - 39.55 Mb, respectively. As well, both ovulation rate and twinning rate might share a common QTL region from 34.16 Mb to 65.38 Mb. However, there are no common QTL locations in three pregnancy related phenotypes: non-return rate, pregnancy rate and daughter pregnancy rate. In beef cattle, the majority of QTL are located in a broad region of 15 Mb - 45 Mb on the chromosome. Functional genes, such as CRH, CYP11B1, DGAT1, FABP4 and TG, as potential candidates for some of these QTL, were also reviewed. Therefore, our review provides a standardized QTL map anchored within the current genome assembly, which would enhance the process of selecting positional and physiological candidate genes for many important traits in cattle.
The viability of trade union organisation: a bargaining unit analysis

The paper develops a model of trade union behaviour based on the concept of the viable bargaining unit. Bargaining unit viability rests on five conditions; membership level, service level, membership participation, employer recognition and facilities. Viability is achieved by mobilisation of both members and employers. Trade unions may be seen as portfolios of viable and inviable bargaining units. From this, six propositions about trade union structure and behaviour are derived, concerning scale, growth, the impact of statutory recognition provisions, the emergence of conglomerate unions, governance structures and relations with employers. Employer dependence is a crucial element in the model and a simple game theoretic approach is used to discuss employer co-operation. A key conclusion is that viability at the union level is achieved by diversifying portfolios of bargaining units and securing co-operative relations with employers.
Compressed sensing recovery using polynomial approximated l0 minimization of signal and error

The development of a computationally optimal Compressed Sensing recovery algorithm based on polynomial approximated L0 minimization of the objective signal x and the error projection, is discussed in this paper. The proposed algorithm X-L0 E-L0 minimization (XEL0) using continuous function approximation for sparse signal recovery, minimizes the L0 norm of signal x and L0 norm of projected recovery error A†(y - Ax) using a set of polynomial functions, which approximate Gaussian curve, to improve the signal recovery performance and signal recovery time over the existing L0 norm minimization based algorithms with L2 recovery error constraints. The new algorithm for Compressed Sensing recovery reduces the computational complexity by computing L0 norm with simple polynomial functions. This paper presents the theoretical frame work of the new algorithm, the experimental evaluation of convergence and robustness analysis along with the simulation results.
Pedagogy of the Personal and Professional: Toward a Framework for Culturally Relevant Leadership

The social and cultural contexts of today's schools are diverse in ways that require greater attention to the educational philosophies, epistemologies, and perspectives of school leaders. In those environments where educators are not aptly prepared or willing to meet the sometimes unique needs of students who represent underserved racial, ethnic, and cultural groups, these matters move beyond the personal and become professional, as they are further complicated by high-stakes accountability standards and the prioritization of “closing the achievement gap” in schools and districts. As such, the purpose of this article is to explore more fully the research literature on culturally relevant and antiracist pedagogy in ways that can inform the practice of school leadership and explore the yet-untapped possibilities of speaking across areas of theory, research, and practice within the field of education. Specifically, we offer a framework for culturally relevant leadership that includes the following four dimensions: the political context, a pedagogical approach, a personal journey, and professional duty. Finally, we conclude with implications for research and practice.
High Dynamic Pseudo-Random Code Tracking Using Unscented Kalman Filter and Carrier-Aiding Technology

In high dynamic direct-sequence spread-spectrum (DS/SS) systems, due to the impact of Doppler shift on Pseudorandom (PN) code rate, it's very hard to measure PN code delay accurately. In this paper, a new PN code tracking method is proposed to address this issue. Unscented Kalman Filter (UKF) is employed to estimate carrier phase and frequency, and the carrier phase variation is used to aid the code tracking loop to remove most of the incoming dynamics. The loop bandwidth can be significantly narrowed to guarantee the code delay measurement precision and the dynamic tracking performance is improved. Simulations show that the method is feasible.