Higher Institute of Technological Studies

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Higher Institute of Technological Studies

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Ali R.,Higher Institute of Technological Studies | Mounir G.,Campus University Mrezgua | Balas V.E.,Aurel Vlaicu University | Nissen M.,Higher Institute of Technological Studies
Advances in Intelligent Systems and Computing | Year: 2017

The problem of the project management is performed with the optimization task under uncertainty and subject to real-world constraints. We use the probability theory and insufficiently proved methods, due to unavailable data indeed we need different methods for a best way to evaluate uncertainty. One of these approaches is based on the application of the fuzzy sets theory. Since its inception in 1965, the theory of fuzzy sets has advanced in a variety of ways and in many disciplines. Applications of this theory can be found, for example, in artificial intelligence, computer science, medicine, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, and robotics. This paper proposes a fuzzy decision making approach for project selection problem under uncertainty. An evaluation is provided as an illustration of the proposed approach. In the conclusion, we show how this method can help decision makers in the selection of appropriate project based on their profitability. © Springer International Publishing AG 2017.


Ben Rebah H.,Higher Institute of Technological Studies | Ben Sta H.,Higher Institute of Management
Proceedings - 2016 Global Summit on Computer and Information Technology, GSCIT 2016 | Year: 2017

In a world of interdependent economies, the numberof threats imposed on the information system of companies andorganizations is steadily increasing. Companies need more thanever to prepare for major crises and organize to be able toensure continuity of its critical IT activities through theestablishment of a Disaster Recovery Plan. For manycompanies, the establishment of such plan was considered avery difficult task to achieve. The development of cloudcomputing offerings and their adoption within companies opensup new practices. One of them is the rescue of the informationsystem in the cloud. In this paper, we focus on presenting thisnew solution known as Disaster Recovery as a Service as well asgood practices in planning for a company to succeed such aproject. Our work was based on a comparative study betweentraditional IT strategies and DRaaS solution and arguedthrough the enumeration of some research works as well as thereturn to experience of some companies. © 2016 IEEE.


Ali R.,Higher Institute of Technological Studies | Khaled G.,Higher Management School
Proceedings of 2014 1st International Conference on Information and Communication Technologies Innovations and Applications, ICTIA 2014 | Year: 2017

Multiple criteria decision making (MCDM) shows signs of becoming a maturing field. There are four quite distinct families of methods: (i) the outranking, (ii) the value and utility theory based, (iii) the multiple objective programming, and (iv) group decision and negotiation theory based methods. Fuzzy MCDM has basically been developed along the same lines, although with the help of fuzzy set theory a number of innovations have been made possible; the most important methods are reviewed and a novel approach - interdependence in MCDM - is introduced. In this paper we propose a model of an expert system for MCDM under uncertainty to improve company competitiveness. © 2014 IEEE.


Gargouri A.,Higher Institute of Technological Studies | Daoud A.,University of Sfax | Loulizi A.,Tunis el Manar University | Kallel A.,Tunis el Manar University
ACI Materials Journal | Year: 2016

A detailed laboratory investigation of waste tire rubberized self-consolidating concrete (SCC) was carried out in two phases. The first phase focused on proportioning rubberized mixtures using local materials that meet European specifications for SCC in terms of flow, passing ability, and resistance to segregation. This phase resulted in a selection of four mixtures: one control mixture (no rubber) and three rubberized mixtures containing 10, 20, and 30% waste tire rubber. The second phase of testing concentrated on analyzing the hydration process of the retained mixtures using the results of the semi-adiabatic calorimetry test as well as performing conventional mechanical tests. Results show that rubber particles do not affect concrete hydration rate, but do decrease the adiabatic temperature, given its high specific heat. As reported by other researchers, conventional mechanical properties were also found to decrease as the percent of rubber increases. © Copyright 2016, American Concrete Institute. All rights reserved.


PubMed | University of Sfax, Higher Institute of Management and Higher Institute of Technological Studies
Type: | Journal: Journal of biomedical informatics | Year: 2016

Integrating semantic dimension into clinical archetypes is necessary once modeling medical records. First, it enables semantic interoperability and, it offers applying semantic activities on clinical data and provides a higher design quality of Electronic Medical Record (EMR) systems. However, to obtain these advantages, designers need to use archetypes that cover semantic features of clinical concepts involved in their specific applications. In fact, most of archetypes filed within open repositories are expressed in the Archetype Definition Language (ALD) which allows defining only the syntactic structure of clinical concepts weakening semantic activities on the EMR content in the semantic web environment. This paper focuses on the modeling of an EMR prototype for infants affected by Cerebral Palsy (CP), using the dual model approach and integrating semantic web technologies. Such a modeling provides a better delivery of quality of care and ensures semantic interoperability between all involved therapies information systems.First, data to be documented are identified and collected from the involved therapies. Subsequently, data are analyzed and arranged into archetypes expressed in accordance of ADL. During this step, open archetype repositories are explored, in order to find the suitable archetypes. Then, ADL archetypes are transformed into archetypes expressed in OWL-DL (Ontology Web Language - Description Language). Finally, we construct an ontological source related to these archetypes enabling hence their annotation to facilitate data extraction and providing possibility to exercise semantic activities on such archetypes.Semantic dimension integration into EMR modeled in accordance to the archetype approach. The feasibility of our solution is shown through the development of a prototype, baptized CP-SMS, which ensures semantic exploitation of CP EMR. This prototype provides the following features: (i) creation of CP EMR instances and their checking by using a knowledge base which we have constructed by interviews with domain experts, (ii) translation of initially CP ADL archetypes into CP OWL-DL archetypes, (iii) creation of an ontological source which we can use to annotate obtained archetypes and (vi) enrichment and supply of the ontological source and integration of semantic relations by providing hence fueling the ontology with new concepts, ensuring consistency and eliminating ambiguity between concepts.The degree of semantic interoperability that could be reached between EMR systems depends strongly on the quality of the used archetypes. Thus, the integration of semantic dimension in archetypes modeling process is crucial. By creating an ontological source and annotating archetypes, we create a supportive platform ensuring semantic interoperability between archetypes-based EMR-systems.


Haddar W.,University of Monastir | Haddar W.,Higher Institute of Technological Studies | Ben Ticha M.,University of Monastir | Meksi N.,University of Monastir | Guesmi A.,University of Monastir
Natural Product Research | Year: 2017

Brassica oleracea L. var. capitata f. rubra (Red Cabbage) dye is composed mainly of natural pigment called anthocyanins used as a natural colourant. Wool and silk fibres were dyed with the aqueous extract obtained from red cabbage. The dyeing process was investigated and the combined effects of dyeing conditions on the colour yield parameter (K/S) were studied. Resulted fastness to wash, rubbing and light of the dyed fabrics were evaluated. Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD5) of the residual effluent were measured. Best dyeing conditions were found to be: 50 g/100 mL, pH 2, 60 min and 100 °C, respectively, for the red cabbage weight, pH, dyeing duration and temperature. Good fastnesses properties were found in both cases: for wool and silk fabrics. It was found also that the calculated biodegradability ratio (COD/BOD5) of the residual bath of dyeing wool and silk with red cabbage extract are lower than 1.5 which means that these baths are biodegradable. © 2017 Informa UK Limited, trading as Taylor & Francis Group


Bouslimi R.,Higher Institute of Technological Studies | Bouslimi R.,University of Tunis | Ayadi M.G.,Higher Institute of Technological Studies | Ayadi M.G.,University of Tunis | Akaichi J.,University of Tunis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

We present in this article a multimodal research model for the retrieval of medical images based on the extracted multimedia information from a radiological collaborative social network. However, opinions shared on a medical image in a medical social network constitute a textual description that requires in most of the time cleaning using a medical thesaurus. In addition, we describe the textual description and medical image in a TF-IDF weight vector using an approach of « bag-of-words ». We use latent semantic analysis to establish relationships between textual and visual terms from the shared opinions on the medical image. Multimodal modeling will search for medical information through multimodal queries. Our model is evaluated on the basis ImageCLEFmed’2015 for which we have the ground-truth. We have carried many experiments with different descriptors and many combinations of modalities. Analysis of the results shows that the model is based on two methods can increase the performance of a research system based on only one modality, either visual or textual. © Springer International Publishing Switzerland 2016.


Belfeki H.,Higher Institute of Technological Studies | Belfeki H.,Food Preservation Laboratory | Mejri M.,Molecules Materials and Applications Laboratory | Hassouna M.,Food Preservation Laboratory
Industrial Crops and Products | Year: 2016

Plants are a source of bioactive compounds such as antioxidants and enzyme inhibitors. In this work, effect of the Eucalyptus globulus and Mentha viridis extraction by different solvents on phenolics content, flavonoids content, condensed tannins content, antioxidant activity and inhibitory effect against two lipases from Aspergillus niger and olive was studied. Methanolic (MeOH) extract showed the strongest antioxidant and anti-lipase activities. High correlation between total phenolics content, total flavonoids content, antioxidant activity and lipases inhibitory action was observed. Kinetic analysis of lipases inhibition was performed with Linweaver-Burk, Dixon and Cornish-Bowden plots. These results revealed competitive inhibition mode by E. globulus and non competitive mixed inhibition mode by M. viridis against the two lipases. Inhibition constant (KI) values calculated with E. globulus MeOH extract were 0.271 and 0.188 mg/mL for Aspergillus niger and olive lipases respectively. With M. viridis MeOH extract KI values were 0.303 and 0.421 mg/mL for the fungal and the plant lipases respectively. The inhibitory concentration 50% (IC50) values determined with E. globulus MeOH extract were 0.69 mg/mL for Aspergillus niger lipase and 1.29 mg/mL for olive lipase. With M. viridis MeOH extract IC50 were 0.43 and 1.44 mg/mL for Aspergillus niger and olive lipases respectively. © 2016 Elsevier B.V..


Ben Marzoug I.,Higher Institute of Technological Studies | Sakli F.,Higher Institute of Technological Studies | Roudesli S.,University of Monastir
Journal of the Textile Institute | Year: 2010

Esparto grass fibres are used as cordage or paper pulp. Ultimate and technical fibres used in pulp or cords have specific characteristics. Technical fibres have higher mechanical properties. However, ultimate fibres have a higher cellulosic rate, hence higher absorbency and retention capacity. To produce ultimate fibres, we must look for an appropriate method of extraction. In this paper, a method of extraction that gives cellulosic fibres without any damage is investigated and a comparison with other methods is also made. The structure of esparto grass technical fibres is discontinuous, where cellulosic fibres are found in matrix which contains pectin, lignin and hemicelluloses. The ultimate fibres from esparto grass have a length between 0, 2 and 3 mm and a diameter between 6 and 22μm. This shows that ultimate fibres are very short; however, they have very interesting features. The chosen extraction method has many specifications: protecting properties using a combined method which is accomplished in a short time and which takes the ecological impact into consideration. In this work different stages are followed to obtain cellulosic fibres. These fibres are then characterised through several analyses such as scanning electron microscopy, X-ray diffraction, diameter and rate of lignin elimination. © 2010 The Textile Institute.


Jerbi W.,Higher Institute of Technological Studies | Guermazi A.,Higher Institute of Technological Studies | Trabelsi H.,CES Research Unit
Proceedings - Computer Graphics, Imaging and Visualization: New Techniques and Trends, CGiV 2016 | Year: 2016

LEACH protocol called Low Energy Adaptive Clustering Hierarchy, is a protocol that allows the formation of distributed cluster. In each cluster, LEACH randomly selects some sensor nodes called cluster heads (CHs). The selection of CHs is made with a probabilistic calculation. It is supposed that each non-CH node joins a cluster and becomes a cluster member. Nevertheless, some CHs can be concentrated in a specific part of the network. Thus several sensor nodes cannot reach any CH. To solve this problem. We created an O-LEACH Orphan nodes protocol, its role is to reduce the sensor nodes which do not belong the cluster. O-LEACH present two scenarios, the first scenario consists, a cluster member will be able to play the role of a gateway which allows the joining of orphan nodes. The gateway node has to connect a number of orphan nodes, thus the gateway node is considered as a CH' for connected orphans. As a result, orphan nodes become able to send their data messages to the CH' which performs in turn data aggregation and send aggregated data message to the CH. The second scenario consists, if in an area not covered, the number of orphan nodes is very important, if number of cluster member is superior to number of orphan nodes, a sub-cluster will be created. The first orphan node reached the gateway (member of cluster) will be a CH'. O-Leach enables the formation of a new method of cluster, leads to a long life and minimal energy consumption. In orphan node possess enough energy and seeks to be covered by the network. The principal novel contribution of the proposed work is O-LEACH protocol which provides coverage of the whole network with a minimum number of orphaned nodes and has a very high connectivity rates. The simulation results show that O-LEACH performs better than LEACH in terms of coverage, connectivity rate, energy and scalability. © 2016 IEEE.

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