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Search Results: 1 - 10 of 4896 matches for " Alain Clement "
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Homology exponents for H-spaces
Alain Clement,Jerome Scherer
Mathematics , 2006,
Abstract: We say that a space X admits a homology exponent if there exists an exponent for the torsion subgroup of the integral homology. Our main result states if an H-space of finite type admits a homology exponent, then either it is, up to 2-completion, a product of spaces of the form BZ/2^r, S^1, K(Z, 2), and K(Z,3), or it has infinitely many non-trivial homotopy groups and k-invariants. We then show with the same methods that simply connected $H$-spaces whose mod 2 cohomology is finitely generated as an algebra over the Steenrod algebra do not have homology exponents, except products of mod 2 finite H-spaces with copies of K(Z, 2) and K(Z,3).
Application of the Dempster-Shafer Theory to the Classification of Pixels from Aster Satellite Images and Spectral Indices  [PDF]
Jean-Claude Okaingni, Sié Ouattara, Adles Francis Kouassi, Adama Koné, Wognin Joseph Vangah, Alain Clement
Journal of Applied Mathematics and Physics (JAMP) , 2017, DOI: 10.4236/jamp.2017.57120
Abstract: In this paper, it is proposed to apply the Dempster-Shafer Theory (DST) or the theory of evidence to map vegetation, aquatic and mineral surfaces with a view to detecting potential areas of observation of outcrops of geological formations (rocks, breastplates, regolith, etc.). The proposed approach consists in aggregating information by using the DST. From pretreated Aster satellite images (geo-referencing, geometric correction and resampling at 15 m), new channels were produced by determining the spectral indices NDVI, MNDWI and NDBaI. Then, the DST formalism was modeled and generated under the MATLAB software, an image segmented into six classes including three absolute classes (E,V,M) and three classes of confusion ({E,V}, {M,V}, {E,M}). The control on the land, based on geographic coordinates of pixels of different classes on said image, has made it possible to make a concordant interpretation thereof. Our contribution lies in taking into account imperfections (inaccuracies and uncertainties) related to source information by using mass functions based on a simple support model (two focal elements: the discernment framework and the potential set of belonging of the pixel to be classified) with a normal law for the good management of these.
Modeling and Characterization of Vegetation, Aquatic and Mineral Surfaces Using the Theory of Plausible and Paradoxical Reasoning from Satellite Images: Case of the Toumodi-Yamoussoukro-Tiébissou Zone in V Baoulé (C?te d’Ivoire)  [PDF]
Jean-Claude Okaingni, Sié Ouattara, Adles Kouassi, Wognin J. Vangah, Aubin K. Koffi, Alain Clement
Open Journal of Applied Sciences (OJAppS) , 2017, DOI: 10.4236/ojapps.2017.710038
Abstract: In this paper, the theory of plausible and paradoxical reasoning of Dezert- Smarandache (DSmT) is used to take into account the paradoxical charac-ter through the intersections of vegetation, aquatic and mineral surfaces. In order to do this, we developed a classification model of pixels by aggregating information using the DSmT theory based on the PCR5 rule using the NDVI, MNDWI and NDBaI spectral indices obtained from the ASTER satellite images. On the qualitative level, the model produced three simple classes for certain knowledge (E, V, M) and eight composite classes including two union classes characterizing partial ignorance ({E,V}, {M,V}) and six classes of intersection of which three classes of simple intersection (EV, MV, EM) and three classes of composite intersection (E{M,V}, M{E,V}, V{E,M}), which represent paradoxes. This model was validated with an average rate of 93.34% for the well-classified pixels and a compliance rate of the entities in the field of 96.37%. Thus, the model 1 retained provides 84.98% for the simple classes against 15.02% for the composite classes.
A Semi-Vectorial Hybrid Morphological Segmentation of Multicomponent Images Based on Multithreshold Analysis of Multidimensional Compact Histogram  [PDF]
Adles Kouassi, Sié Ouattara, Jean-Claude Okaingni, Wognin J. Vangah, Alain Clement
Open Journal of Applied Sciences (OJAppS) , 2017, DOI: 10.4236/ojapps.2017.711043
Abstract: In this work, we propose an original approach of semi-vectorial hybrid morphological segmentation for multicomponent images or multidimensional data by analyzing compact multidimensional histograms based on different orders. Its principle consists first of segment marginally each component of the multicomponent image into different numbers of classes fixed at K. The segmentation of each component of the image uses a scalar segmentation strategy by histogram analysis; we mainly count the methods by searching for peaks or modes of the histogram and those based on a multi-thresholding of the histogram. It is the latter that we have used in this paper, it relies particularly on the multi-thresholding method of OTSU. Then, in the case where i) each component of the image admits exactly K classes, K vector thresholds are constructed by an optimal pairing of which each component of the vector thresholds are those resulting from the marginal segmentations. In addition, the multidimensional compact histogram of the multicomponent image is computed and the attribute tuples or ‘colors’ of the histogram are ordered relative to the threshold vectors to produce (K + 1) intervals in the partial order giving rise to a segmentation of the multidimensional histogram into K classes. The remaining colors of the histogram are assigned to the closest class relative to their center of gravity. ii) In the contrary case, a vectorial spatial matching between the classes of the scalar components of the image is produced to obtain an over-segmentation, then an interclass fusion is performed to obtain a maximum of K classes. Indeed, the relevance of our segmentation method has been highlighted in relation to other methods, such as K-means, using unsupervised and supervised quantitative segmentation evaluation criteria. So the robustness of our method relatively to noise has been tested.
A New Vectorial Order Approach Based on the Classification of Tuples Attribute and Relative Absolute Adaptive Referent: Applications to Multicomponent Images  [PDF]
Adles Francis Kouassi, Sié Ouattara, Jean-Claude Okaingni, Adama Koné, Wognin Joseph Vangah, Georges Loum, Alain Clement
Journal of Software Engineering and Applications (JSEA) , 2017, DOI: 10.4236/jsea.2017.106030
Abstract: In this paper, we are presenting a new vector order, a solution to the open problem of the generalization of mathematical morphology to multicomponent images and multidimensional data. This approach uses the paradigm of P–order. Its primary principle consists, first in partitioning the multi-component image in the attribute space by a classification method in different numbers of classes, and then the vector attributes are ordered within each class (intra-order-class). And finally the classes themselves are ordered in turn from their barycenter (inter-class order). Thus, two attribute vectors (or colors) whatever, belonging to the vector image can be compared. Provided with this relation of order, vectors attributes of a multivariate image define a complete lattice ingredient necessary for the definition of the various morphological operators. In fact, this method creates a strong close similarity between vectors in order to move towards an order of the same principle as defined in the set of real numbers. The more the number of classes increases, the more the colors of the same class are similar and therefore the absolute adaptive referent tends to be optimal. On the other hand, the more the class number decreases or equals two, the more our approach tends towards the hybrid order developed previously. The proposed order has been implemented on different morphological operators through different multicomponent images. The fundamental robustness of our approach and that relating to noise have been tested. The results on the gradient, Laplacian and Median filter operators show the performance of our new order.
Direct correlation between strengthening mechanisms and electrical noise in strained copper wires
Natalia Bellido,Alain Pautrat,Clement Keller,Eric Hug
Physics , 2011, DOI: 10.1103/PhysRevB.83.104108
Abstract: We have measured the resistance noise of copper metallic wires during a tensile stress. The time variation of the main resistance is continuous up to the wire breakdown, but its fluctuations reveal the intermittent and heterogeneous character of plastic flow. We show in particular direct correlations between strengthening mechanisms and noise spectra characteristics.
Ito’s Formula for the Discrete-Time Quantum Walk in Two Dimensions  [PDF]
Clement Ampadu
Journal of Quantum Information Science (JQIS) , 2012, DOI: 10.4236/jqis.2012.22008
Abstract: Following Konno [1], it is natural to ask: What is the Ito’s formula for the discrete time quantum walk on a graph different than Z, the set of integers? In this paper we answer the question for the discrete time quantum walk on Z2, the square lattice.
On Some Questions of C. Ampadu Associated with the Quantum Random Walk  [PDF]
Clement Ampadu
Applied Mathematics (AM) , 2014, DOI: 10.4236/am.2014.519291
Abstract: We review (not exhaustively) the quantum random walk on the line in various settings, and propose some questions that we believe have not been tackled in the literature. In a sense, this article invites the readers (beginner, intermediate, or advanced), to explore the beautiful area of quantum random walks.
Metaphoric Topicality in Femi Osofisan’s Drama  [PDF]
Clement O. Ajidahun
Advances in Literary Study (ALS) , 2013, DOI: 10.4236/als.2013.11001
Abstract: This paper examines the functional and the significant role of metaphors in literary works. It discusses the centrality of metaphors as a dominant literary device consciously deployed by Femi Osofisan to project the theme of oppression, dehumanization, social injustice and poverty in his plays. The paper focuses on the use of animal and predatory metaphors in Osofisan’s plays to launch an offensive literary attack on the rich and the ruling elite in the society who use their privileged positions to brazenly oppress and brutalize the poor and the downtrodden. The paper, on the other hand, examines the appropriate use of animal metaphors to enlighten and educate the poor on their precarious condition as preys in the hands of the carnivorous ruling class. Finally, the paper discusses the settings and the titles of Osofisan’s plays, the quest motif and the traditional modes as metaphors for oppression.
Bible Interpretation, Evangelization and Faith: Nigerian Context  [PDF]
Clement I. Osunwokeh
Open Journal of Philosophy (OJPP) , 2014, DOI: 10.4236/ojpp.2014.42026

In Christianity evangelization entails bringing the Good News of Jesus Christ into all the strata of humanity from within and making it new. Evangelization efforts in Nigeria have been going on for more than a century. Indeed it has made a noticeable inroad of growth. The evidence is seen. Thunderous sounds are heard from all corners of villages and cities, of Christian church activities; series of strategies are explored by multitude of Christian denominations aimed at “packaging and selling out” one’s denomination to attract more adherents; imposing and well architectural-designed structures of Christian places of worship are seen in many cities. Yet in the same society, all forms of atrocities and abominations of man’s inhumanity to man, lack of basic Christian virtues of honesty, justice, and respect for sacredness of human life are witnessed. In the light of the foregoing, this paper seeks both to presume the general shallowness of Christian faith in Nigeria and to blame it to flaw in the understanding of the Bible as a Christian text. It critically analyzes the three Christian concepts: Bible interpretation, evangelization and faith, exposing their interrelatedness and the challenges posed by such reality to an authentic Christian living.

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