Miracle-dz/UniFAR-FTUs huggingface dataset:
User Innovation in Digital Environment

Le developpement des technologies de l'information permet aux entreprises et aux consommateurs de travailler ensemble pour developper des innovations. Les entreprises s'appuient sur ce mouvement de co-creation en ligne a travers des plateformes de generation d'idees. Les mecanismes sous-jacents des interactions utilisateurs/entreprises deviennent un sujet majeur au niveau theorique et pratique. Ce travail doctoral vise a mieux comprendre les determinants des innovations co-creees par desconsommateurs. Dans un premier article, nous etudions les acteurs qui contribuent aux innovations externes, et principalement les lead-users dans un contexte de crowdsourcing afin de proposer une typologie de ces consommateurs specifiques. Deuxiemement, nous explorons en profondeur la notion de performance de l'outil et identifions que ces outils, tels que les plateformes d’ideation et les logiciels open source, doivent regrouper certaines conditions pour augmenter la capacite innovantedes entreprises. Enfin, nous nous concentrons sur l'ensemble du processus de creation d’innovations et proposons un modele theorique base sur les theories de la resolution de problemes et les need-solution pairs. Les resultats obtenus dans ce travail doctoral permettent de contribuer a la litterature traitant du crowdsourcing et de l’innovation utilisateurs mais egalement de repondre a des questions manageriales sur la recherche virtuelle d’innovations. Le recours a ces trois niveaux d'analyse (acteurs, outils et methodes) est essentiel aux entreprises pour integrer une vision globale de l’environnement exterieur et le succes d’une strategie d’innovation ouverte. Les trois articles de ce travail permettent d’aider les entreprises a augmenter leur niveau de co-creation avec des lead-users. Cette recherche offre egalement une meilleure comprehension de la conception des outils technologiques pour maximiser l’echange et la creation d’idees innovantes par les consommateurs. Le modele theoriquepropose permet d’optimiser la recherche de solutions innovantes par le biais d’un processus adapte de formulation du probleme.
Neural Network Online Decoupling for a Class of Nonlinear System

Aim at a class of nonlinear MIMO systems, the neural networks online decoupling algorithm is proposed. The elitist genetic algorithms and hybrid genetic algorithms are adopted respectively to train the neural networks in order to compensate coupling effect. Based on analysis of the convergence of the genetic algorithms, the feasibility of the online decoupling algorithm is discussed. The effectiveness of the algorithm has been shown by numerical simulations combing nonlinear MIMO system
Main determinants of immigrant families’ involvement and participation in school life / Principales determinantes de la implicación y participación de las familias inmigrantes en la escuela

Abstract This work is focused on deepening our understanding of family actions when participating in school life and of the intensity of their involvement with the school work that their children perform, or should perform, at home. Specifically, this study examines whether there is a relationship between family participation and involvement, what are the situations that characterize the differential performance of fathers and mothers; an analysis is also carried out of each situation to identify which elements determine their participation or involvement behaviour. To this end, the sample consisted of 279 subjects from Latin America with children enrolled in the fifth or sixth grades of primary education. The results show that involvement and participation are independent phenomena, that mothers are more involved and participate more in their children’s school life, and that the elements determining these two actions are different for both mothers and fathers.
Algorithm: Regularized Orthogonal Matching Pursuit (ROMP)

—This paper seeks to bridge the two major algorithmic approaches to sparse signal recovery from an incomplete set of linear measurements – L 1 -minimization methods and iterative methods (Matching Pursuits). We ﬁnd a simple regularized version of the Orthogonal Matching Pursuit (ROMP) which has advantages of both approaches: the speed and transparency of OMP and the strong uniform guarantees of the L 1 -minimization. Our algorithm ROMP reconstructs a sparse signal in a number of iterations linear in the sparsity (in practice even logarithmic), and the reconstruction is exact provided the linear measurements satisfy the Uniform Uncertainty Principle.
An improved pre-processing technique with image mining approach for the medical image classification

The proposed system mainly concentrates on the diagnosis of brain tumor from the CT-Scan (Computerized Tomography) brain images. This work gives the neuroradiologist a second option for the easy identification of tumor cells from the brain image. The important data mining concept that has been included in the proposed work consists of pre-processing of the CT-Scan brain image. The method used for pre-processing includes Shape priori technique. The feature selection from the brain image has been done using the association rule mining. The rules generated for extracted features are stored in the transactional database have been classified using the data mining concept called Decision Tree Classification. The combination of both the association rule mining and the decision tree classification gives the high degree of accuracy and efficiency for the proposed system.
Spectral asymmetry and Riemannian Geometry. I

1. Introduction. The main purpose of this paper is to present a generalization of Hirzebruch's signature theorem for the case of manifolds with boundary. Our result is in the framework of Riemannian geometry and can be viewed as analogous to the Gauss–Bonnet theorem for manifolds with boundary, although there is a very significant difference between the two cases which is, in a sense, the central topic of the paper. To explain this difference let us begin by recalling that the classical Gauss–Bonnet theorem for a surface X with boundary Y asserts that the Euler characteristic E(X) is given by a formula: where K is the Gauss curvature of X and σ is the geodesic curvature of Y in X. In particular if, near the boundary, X is isometric to the product Y x R+, the boundary integral in (1.1) vanishes and the formula is the same as for closed surfaces. Similar remarks hold in higher dimensions. Now if X is a closed oriented Riemannian manifold of dimension 4, there is another formula relating cohomological invariants with curvature in addition to the Gauss–Bonnet formula. This expresses the signature of the quadratic form on H2(X, R) by an integral formula where p1 is the differential 4-form representing the first Pontrjagin class and is given in terms of the curvature matrix R by p1 = (2π)−2Tr R2. It is natural to ask if (1.2) continues to hold for manifolds with boundary, provided the metric is a product near the boundary. Simple examples show that this is false, so that in general
Challenges and Solutions: The Experiences of Newly Qualified Science Teachers

We explored the challenges that five newly qualified teachers (NQTs) faced in the teaching and learning situation and how they addressed their challenges. The teachers taught integrated science at the Junior High School (JHS; ages 12-15 years). Data were collected through observation, interview, and content analysis. We used the inductive and deductive analytic methods, and we found out that the NQTs faced the following challenges among others: (a) lack of resources for teaching and learning, (b) time management, (c) deficiency in content knowledge, (d) their students’ inability to understand the lessons taught, (e) student indiscipline, (f) lack of their students’ interest in science, and (g) their inability to complete the integrated science syllabus. The challenge of lack of resources and deficiency in content knowledge cut across all the NQTs. Some of the methods that they used to solve their challenges are (a) improvising equipment, (b) modifying their teaching, and (c) talking with parents. It was recommended, among other things, that the basic schools should be supplied with equipment/materials and also that preservice training should equip prospective teachers with skills to help them face their challenges.
Consistency Maintenance Of Continuous Queries In Unstructured Overlay Networks

Peer-to-Peer (P2P) systems offer an alternative to client-server systems. The main objectives of the P2P content distribution systems are to register for a long term presence in a network and to publish its own data to that network. These requirements can be done by having some set of indexing and routing techniques. For this solution, a sequence of approaches has been already proposed by the existing researches. Researchers proposed unstructured overlay–based publish subscribe system that offer the above objectives. But these approaches are not flexible for these systems and too complex.In order to solve this problem of flexibility and complexity proposing, an approach of CoQUOS with consistency maintenance. The CoQUOS approach is to support the continuous queries in unstructured overlay networks. This approach characterized by 5 novel techniques , namely cluster resilient random walk algorithm, dynamic probability-based query registration scheme, develop efficient schemes for providing resilience to the churn of the P2P network, fair distribution of the notification load among the peers and finally consistency maintenance mechanism. It achieves high efficiency in consistency maintenance at a significantly low cost.
Federation of E-government: A Model and Framework

L ocal governments, including municipalities in modern democracies, have an elevated level of autonomy. This stems from one of the golden rules of a democratic society: division of authority. Traditionally, priorities and budgeting in light of national and domestic laws direct the work of local governments. This differs significantly from businesses, where decisions are centrally made. In democracies, local governments have semiautonomous status. Resistance to change on the side of government employees can be more evident and severe than in businesses. There is also a tendency to keep information private within departments of local governments. This renders much of the integration efforts ineffective. Rebuilding of the IT infrastructure entails replacement of hardware and software in addition to training employees on the new systems. The costs can be far above the ground. A staggering 35 percent of e-government projects are total failures, 50 percent are partial failures, and only 15 percent are success stories. 1 That said, it could be better and cheaper to follow a different approach. This article introduces the Federation of E-government model. A detailed implementation framework of the model will be presented. As the purpose of establishing a local government is different from that of a firm, the nature of each is different and the models to be used for operation of each also should be different. Figure 1 summarizes the major differences between business and government. The figure shows that e-government and e-business differ in many ways and, therefore, cannot be approached the same way. Borrowing successful models from business does not necessarily mean that they will also work well for governments. In other words, even if platform integration has worked well for e-business, it might not work well for e-government. This is where the Federation of E-government model fits in. This model perceives government units as a collection of autonomous entities where there is little or no integration among them. This way, the central government can save a lot of effort and costs in trying to integrate disparate (legacy) systems of the different local governments. With this model, there is no real need to replace incompatible systems. Furthermore, the central government should not pay attention to the way a particular system within a local government works, but should rather be concerned with inputs and outputs of that system. The model is analogous to the well-known object-oriented design methodology. It views a local government or municipality …
A Novel Piezoelectric Micro-gripper's Control Study

In this paper, we develop a micro-gripper that actuated by piezoelectric cantilever for the need of micro parts assembly. The displacement-voltage relationship model is given. For hysteresis of piezoelectric ceramic, we present a mix control algorithm, which employs the hysteresis offset control model based on Dahl and PID control model. The results of micro-assembly prove that the model is efficiency.
Supervision Based On Place Invariants : A Survey Technical Report of the ISIS Group at the University of Notre Dame ISIS-2004-003 July , 2004

The supervision based on place invariants (SBPI) is an efficient technique for the supervisory control of Petri nets. This paper reveals the significance of the SBPI based on a literature survey, applications, and an analysis of problems and supervisory settings that can be addressed using SBPI. Much of the application and analysis parts of the paper consist of new results. Special attention is given to the various settings within which the problem can be formulated. Such settings can be distinguished based on the concurrency type, the type of controllability and observability, and the centralized or decentralized type of supervision. As we show, it is possible to approach the most general settings in a purely structural way, without resorting to reachability analysis. We begin by describing the SBPI problem and the literature methods that address this problem or are related to it. Then, we proceed to show classes of problems that can be reduced to the SBPI problem. In the SBPI, the specification is described as a system of inequalities that the Petri net marking must satisfy at any time. However, as we show, problems involving more general specifications can be approached in the SBPI setting, sometimes under additional assumptions, by performing net and/or specification transformations. Four of the specifications we will consider are logic constraints, language specifications, disjunctions of linear constraints, and liveness. We conclude with a presentation of possible applications of the SBPI approach to programming with semaphores, fault tolerance, and synchronic-distance based designs.
Body gesture based control system for humanoid robot

An intuitive control system based on gesture recognition for humanoid robot has been developed. The gesture of a human operator can be recognized successfully with 99.87% accuracy using Fuzzy Neural Generalized Learning Vector Quantization (FNGLVQ) algorithm. A total of 13 distinct gestures were trained onto the system to represent 13 different actions. The system maps the recognized gestures to 13 different sequences of movements which will be executed by the humanoid robot. This system can be used in settings where tele-operation of humanoid robot is needed. The use of gestures to give commands to humanoid robot will decrease the learning curve of the operator by providing a more intuitive control mechanism. This system eliminate the need to memorize a set of complex procedures. Another possible application is for teaching children with autism basic social interaction as a complement for human tutor.
Stationary Frame Active Power Filter Control Based on Multiresolution Analysis

The paper presents an active power filter control method. The reference signal is generated in the stationary reference frame α-β using multiresolution analysis and the controllers used are P-resonant controllers, suitable for this particular application due to the fact that the steady-state error is zero for sinusoidal references with the frequency corresponding to the resonant frequency of the controller.
Assessment of Myocardial Viability With Contrast-Enhanced Magnetic Resonance Imaging: Comparison With Positron Emission Tomography

Background—Recent studies indicate that MRI, after administration of gadolinium-diethylenetriamine pentaacetic acid, can identify nonviable areas in dysfunctional myocardium. We compared MRI hyperenhancement with PET as a gold standard for detection and quantification of myocardial scar tissue. Methods and Results—Thirty-one patients with ischemic heart failure (ejection fraction, 28±9%) were imaged with PET and MRI. Scar was defined as regionally increased MRI signal intensity 20 minutes after injection of 0.2 mmol/kg gadolinium-diethylenetriamine pentaacetic acid and as concordantly reduced perfusion and glucose metabolism as defined by PET. Sensitivity and specificity of MRI in identifying patients and segments (n=1023) with matched flow/metabolism defects was 0.96 of 1.0 and 0.86 of 0.94, respectively. Eleven percent of segments defined as viable by PET showed some degree of MRI hyperenhancement. Defect severity score based on visual analysis was 44.3±9.1 for PET and 47.6±11.1 for MRI (r =0.91, P <0.0001). Quantitatively assessed relative MRI infarct mass correlated well with PET infarct size (r =0.81, P <0.0001). Furthermore, MRI hyperenhancement was a better predictor of scar tissue than end-diastolic and end-systolic wall thickness or thickening. Conclusions—In severe ischemic heart failure, MRI hyperenhancement as a marker of myocardial scar closely agrees with PET data. Although hyperenhancement correlated with areas of decreased flow and metabolism, it seems to identify scar tissue more frequently than PET, reflecting the higher spatial resolution. Additional functional studies after revascularization are required to define the significance of small islands of scar detected by MRI.
An extensive review of facial expression recognition using salient facial patches

Derivation of discriminant features from outstanding face patches has a major role in accurate identification of face expressions. The precise discovery of fragments in the face image improves the confinement of the outstanding patches on face images. Some methods uses a special framework for expression identification by the use of appearance related features of important face patches. A few noticeable face patches which are alive for each expression classes are extracted considering the location of fragments in the face image. Then further process these alive patches in order to obtain the patches which are discriminant and contain features for grouping of each pair of expressions. Thus it selects different facial patches as important for each pairs of expression classes. Then use these features for performing one against one categorization method. Also, an automated learning free method for fragment identification can be adopted, which achieves similar performances as that of other related fragment detection methods, and requires less execution time compared to others.
Time series models in marketing: Some recent developments

This paper discusses four developments that underlie the increased use of time-series models in marketing science in this century: the expansion of marketing databases, the accelerating rate of change in the business environment, the growing interest in the marketing-finance interface, and the growth in internet capabilities. We illustrate each development with examples from recent literature and draw some conclusions for the future of time-series models in marketing.
A Gaussian quadrature rule for oscillatory integrals on a bounded interval

We investigate a Gaussian quadrature rule and the corresponding orthogonal polynomials for the oscillatory weight function $e^{i\omega x}$ on the interval $[-1,1]$. We show that such a rule attains high asymptotic order, in the sense that the quadrature error quickly decreases as a function of the frequency $\omega$. However, accuracy is maintained for all values of $\omega$ and in particular the rule elegantly reduces to the classical Gauss-Legendre rule as $\omega \to 0$. The construction of such rules is briefly discussed, and though not all orthogonal polynomials exist, it is demonstrated numerically that rules with an even number of points are always well defined. We show that these rules are optimal both in terms of asymptotic order as well as in terms of polynomial order.
The Local Luminosity Function at 25 Microns

The local luminosity function at 25 μm provides the basis for interpreting the results of deep midinfrared surveys planned or in progress with space astrophysics missions including the Infrared Space Observatory (ISO), Wide-Field Infrared Explorer (WIRE), and Space Infrared Telescope Facility (SIRTF). We have selected a sample of 1458 galaxies from the IRAS Faint Source Survey with a flux density limit of 250 mJy at 25 μm. The local luminosity function is derived using both parametric and nonparametric maximum likelihood techniques and the classical 1/Vmax estimator. Comparison of these results shows that the 1/Vmax estimate of the luminosity function is significantly affected by the Local Supercluster. A maximum likelihood fit to the radial density shows no systematic increase that would be caused by density evolution of the galaxy population. The density fit is used to correct the 1/Vmax estimate. We also demonstrate the high quality and completeness of our sample by a variety of methods. The luminosity function derived from this sample is compared with previously published estimates, showing the prior estimates to have been strongly affected by the Local Supercluster. Our new luminosity function leads to lower estimates of midinfrared backgrounds and number counts.
The Social Attribution Task-Multiple Choice (SAT-MC): A Psychometric and Equivalence Study of an Alternate Form

The Social Attribution Task-Multiple Choice (SAT-MC) uses a 64-second video of geometric shapes set in motion to portray themes of social relatedness and intentions. Considered a test of “Theory of Mind,” the SAT-MC assesses implicit social attribution formation while reducing verbal and basic cognitive demands required of other common measures. We present a comparability analysis of the SAT-MC and the new SAT-MC-II, an alternate form created for repeat testing, in a university sample (n = 92). Score distributions and patterns of association with external validation measures were nearly identical between the two forms, with convergent and discriminant validity supported by association with affect recognition ability and lack of association with basic visual reasoning. Internal consistency of the SAT-MC-II was superior (alpha = .81) to the SAT-MC (alpha = .56). Results support the use of SAT-MC and new SAT-MC-II as equivalent test forms. Demonstrating relatively higher association to social cognitive than basic cognitive abilities, the SAT-MC may provide enhanced sensitivity as an outcome measure of social cognitive intervention trials.