El Harrak O.,FST |
Ghadi A.,FST |
El Bouhdidi J.,ensa Inc
ACM International Conference Proceeding Series | Year: 2017
In few years, the internet has become the first source of information for most people, Today MOOCs makes it possible for everyone to access to the education over the world, it's represents an emerging methodology of online teaching and an important development in open education. Due to the rapid development of Moocs and the rapid growth of digital data and video database over the Internet, it is becoming very difficult for learners to browsing and choosing the best training for them. The scientific community has increased the amount of research into new technologies, with a view to improve the digital video utilization: its archiving, indexing, accessibility, acquisition, store and even its process and usability. All these parts of the video utilization entail the necessity of the extraction of all important information of a video, especially in cases of lack of metadata information. Web video mining is retrieving the content using data mining techniques from World Wide Web. There are two approaches for web video mining using traditional image processing (signal processing) and metadata based approach. In this paper, we present the various research makes in this subject and we propose an effective methodology to extract the metadata from Moocs videos and classify them based on the extracted metadata by applying data mining techniques. © 2017 Copyright is held by the owner/author(s).
Choukai O.,ensa Inc |
Zejli D.,ensa Inc
Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016 | Year: 2017
This paper presents the study of the seawater desalination process, by humidification-dehumidification, via an agricultural greenhouse with solar collectors. © 2016 IEEE.
Elyousfi A.,University Ibn Zohr |
Elyousfi A.,ensa Inc
Signal, Image and Video Processing | Year: 2013
The H. 264/AVC video coding standard uses in intraprediction, 9 directional modes for 4 × 4 and 8 × 8 luma blocks, and 4 directional modes for 16 × 16 luma macroblocks, and 8 × 8 chroma blocks. The use of the variable block size and multiple modes in intraprediction makes the intracoding of H. 264/AVC very efficient compared with other compression standards; however, computational complexity is increased significantly. In this paper, we propose a fast mode selection algorithm for intracoding. This algorithm is based on the vector of the block's gravity center whose direction is used to select the best candidate prediction mode for intracoding. On this basis, only a small number of intraprediction modes are chosen for rate distortion optimization (RDO) calculation. Different video sequences are used to test the performance of proposed method. The simulation results show that the proposed algorithm increases significantly the speed of intracoding with negligible loss of peak signal-to-noise ratio quality. © 2011 The Author(s).
Ouendeno M.L.,ensa Inc |
Daoudi A.,ensa Inc |
Colin J.-P.,ensa Inc |
Colin J.-P.,IRD Montpellier
Cahiers Agricultures | Year: 2015
The paper deals with the professional dynamics of young farmers in Saharan neoagriculture in Algeria, in the case of plasticulture (market gardening under plastic tunnels). Our analysis is based on a survey of 100 farmers in the municipality of El Ghrous (Biskra) and is illuminated by the literature on clusters (geographical concentrations of companies in the same sector) and on the agricultural ladder (a contractual trajectory allowing the accumulation of know-how and various types of capital). These dynamics result from the external benefits of the cluster that has emerged in the sector, and from the divisibility of the factors (water, land, greenhouses, agricultural inputs, and labor) in this type of production, which facilitates the installation of young farmers. Progress up the agricultural ladder should be read in conjunction with the existence of contractual arrangements regarding access to labor, land, and water.
Bouri M.,University of Castilla - La Mancha |
Bouri M.,ensa Inc |
Salghi R.,ensa Inc |
Zougagh M.,Regional Institute for Applied Chemistry Research |
And 2 more authors.
Analytical Chemistry | Year: 2013
In this technical note, an interface for coupling commercially available capillary electrophoresis (CE) equipment to an evaporative light scattering detector (ELSD) is described. The nebulization process was identified as the most critical parameter for performing the reliable coupling between both pieces of equipment. Therefore, appropriate modifications in the nebulization chamber and in the conventional nebulizer were brought to make ELSD fully compatible with CE. The impact of the customized interface on CE separation and detection was evaluated in terms of resolution and sensitivity. ELSD can be considered as an attractive alternative to other CE detection systems (e.g., UV-vis, fluorescence, electrochemical detection, or even MS detection), particularly those in which derivatization is needed. This advantage is due to the versatility and the quasi-universality of ELSD. Thus, sensitive and fast separations of several compounds were performed using this CE-ELSD customized arrangement, which opens up an interesting analytical potential for the determination of compounds not presenting sensitive UV-vis chormophore, fluorophore, or electroactive groups. Carbohydrates were selected in this work to demonstrate the applicability of CE-ELSD coupling. © 2013 American Chemical Society.
Rais M.,ensa Inc |
Lachkar A.,ensa Inc
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016
A common and ordinary way of representing a text is as a Bag of its component Words BoW. This Representation suffers from the lack of sense in resulting representations ignoring all semantics that reside in the original text, instead of, the Conceptualization using background knowledge enriches document representation models. While searching polysemic term corresponding senses in semantic resources, multiple matches are detected then introduce some ambiguities in the final document representation, three strategies for Disambiguation can be used: First Concept, All Concepts and Context-Based. SenseRelate is a well-known Context-Based algorithm, which use a fixed window size and taking into consideration the distance weight on how far the terms in the context are from the target word. This may impact negatively on the yielded concepts or senses. To overcome this problem, and therefore to enhance the process of Biomedical WSD, in this paper we propose a simple modified versions of SenseRelate algorithm named NoDistanceSenseRelate which simply ignore the distance, that is the terms in the context will have the same distance weight. To illustrate the efficiency of both SenseRelate algorithm and NoDistanceSenseRelate one over the others methods, in this study, several experiments have been conducted using OHSUMED corpus. The obtained results using Biomedical Text Categorization system based on three machine learning models: Support Vector Machine (SVM), Naïve Bayes (NB) and Maximum Entropy (ME) show that the Context-Based methods (SenseRelate and NoDistanceSenseRelate) outperform the others ones. © Springer International Publishing Switzerland 2016.
Rais M.,ensa Inc |
Lachkar A.,ensa Inc
2016 International Conference on Information Technology for Organizations Development, IT4OD 2016 | Year: 2016
Context information is very important to identify the sense of a polysemous word and may offer clues to the Word Sense Disambiguation (WSD). WSD algorithms, therefore, mostly rely on an External Source of Knowledge like a Thesaurus or Ontology to automatically select the proper concept of an ambiguous term in a given Window of Context. SenseRelate is a well-known WSD algorithm, which use a fixed window size and taking into consideration the distance weight on how far the terms in the context are from the target word. This may impact negatively on the yielded concepts or senses. To overcome this problem, and therefore to enhance the process of Biomedical WSD, in this paper we propose a simple modified versions of SenseRelate Algorithm named NoDistanceSenseRelate which simply ignore the distance, that is the terms in the context will have the same distance weight. In this study, we realize a comparative study between SenseRelate and NoDistanceSenseRelate methods, and evaluate the effect of context window size to WSD Context-Based, by exploiting Semantic Similarity and Relatedness measures extracted from Biomedical Resources. We evaluate our system on a biomedical dataset (MSH-WSD) that contains 203 ambiguous terms and acronyms. The obtained results show that NoDistanceSenseRealte method consistently obtain higher disambiguation accuracy on window size of 3, However on window size of 2, SenseRelate method obtain higher disambiguation accuracy than NoDistance-SenseRealte. © 2016 IEEE.
ensa Inc | Date: 2016-02-01
According to some embodiments curtain assemblies are provided having fabric curtains with brush edges that are mated to the fabric curtain. The brush edges are configured to extend laterally from the curtain to contact, for example, the side edges of the opening in which the curtain assembly is installed and remain in contact with the side edges during movement of the curtain. The brush edges can be configured to deflect along the plane of the motion of the curtain to maintain the contact between the curtain and the side edges. In some embodiments, the curtain assemblies can include optional side tracks configured to receive the brush edges, for example, to improve the connection between the brush edges and the side edges.
ensa Inc | Date: 2017-01-05
Consumer focused health and fitness software application that gives real time personalized and actionable wellness recommendations; Consumer focused health and fitness downloadable software application that gives real time personalized and actionable wellness recommendations. Advertising services; online retail services relating to clothing, shoes, sporting goods, outdoor clothing, consumer products, food and beverages, dietetic preparations, food supplements, nutraceuticals, vitamins. Providing temporary use of a consumer focused health and fitness non-downloadable software application that gives real time personalized and actionable wellness recommendations.