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Institution

Tunis University

EducationTunis, Tunisia
About: Tunis University is a education organization based out in Tunis, Tunisia. It is known for research contribution in the topics: Population & Thin film. The organization has 11745 authors who have published 15400 publications receiving 154900 citations. The organization is also known as: University of Tunis & UT.


Papers
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Journal ArticleDOI
TL;DR: The efficiency of this approach is explained by the flexible selection of the promising parts of the search space by the clustering operator after the genetic algorithm process, and by applying the intensification technique of the tabu search allowing to restart the search from a set of elite solutions to attain new dominant scheduling solutions.
Abstract: The flexible job shop scheduling problem (FJSP) is a generalization of the classical job shop scheduling problem that allows to process operations on one machine out of a set of alternative machines. The FJSP is an NP-hard problem consisting of two sub-problems, which are the assignment and the scheduling problems. In this paper, we propose how to solve the FJSP by hybrid metaheuristics-based clustered holonic multiagent model. First, a neighborhood-based genetic algorithm (NGA) is applied by a scheduler agent for a global exploration of the search space. Second, a local search technique is used by a set of cluster agents to guide the research in promising regions of the search space and to improve the quality of the NGA final population. The efficiency of our approach is explained by the flexible selection of the promising parts of the search space by the clustering operator after the genetic algorithm process, and by applying the intensification technique of the tabu search allowing to restart the search from a set of elite solutions to attain new dominant scheduling solutions. Computational results are presented using four sets of well-known benchmark literature instances. New upper bounds are found, showing the effectiveness of the presented approach.

43 citations

Proceedings ArticleDOI
TL;DR: This paper conducts a thorough analysis of IoT security Vulnerability, which presents then security challenges in the cloud for eHealth domain and recent proposed solutions and provides a proposition of an IoT system in thecloud.
Abstract: The technology of Internet of Things (IoT) and cloud has exposed devices to vulnerabilities. As they are distributed, the different devices communicate real time information to open, private or hybrid clouds, with the possibility of collecting, storing and analyzing big data streams in new forms. In the healthcare context, the increased deployment of IoT devices makes patient information a subject to malicious attacks depending on the security and privacy of the IoT devices. While a number of researchers have explored such security challenges and open problems in IoT, there is an unfortunate lack of a systematic study of the security challenges in the IoT for eHealth on clouds. In this paper, we aim at bridging this gap by conducting a thorough analysis of IoT security Vulnerability. We present then security challenges in the cloud for eHealth domain and recent proposed solutions. We also provide a proposition of an IoT system in the cloud.

43 citations

Journal ArticleDOI
TL;DR: OFI extracted oil has in vitro antimicrobial/fungal properties and in vivo wound healing activity and seems to be efficient in the treatment of cutaneous infections and the promoting of the scarring process.
Abstract: Introduction. Opuntia ficus indica L. inermis (OFI) is used in traditional medicine pharmacopeia for its richness in natural bioactive compounds. It has been proven to be effective in the improvement of the healing of laser-induced skin burns. The aim of the present study was to investigate the wound healing effect of OFI extracted oil on full-thickness skin wound. Materials and Methods. The OFI seeds were firstly isolated from mature prickly pears, washed, dried, and then cold-pressed. The antimicrobial activities of OFI seed oil were estimated in vitro against bacteria, yeast, and fungi. Minimum Inhibitory Concentration (MIC) and Minimal Bactericidal Concentration (MBC) were calculated. Skin wound healing was investigated using an excisional wound healing model in rats. The skin wounds of three experimental groups of rats were topically treated once/day with saline solution (control group), 0.15 mg/mm2 of a reference drug Esth’Elle Pharma Cicaplaie cream (reference group), and 0.6 μl/mm2 of OFI seed oil (OFI oil group). The healing process was monitored daily and the percentage of wound contraction was calculated. A histological study was carried on skin biopsies. Results. The extracted oil has shown an interesting antimicrobial effect on Enterobacter cloacae, antiyeast effect against Candida parapsilosis and Candida sake, and antifungal activity against three opportunistic cutaneous molds (Penicillium, Aspergillus, and Fusarium). Moreover, OFI oil has shown a good wound healing effect. It prevents cutaneous infections and reduces the reepithelialization phase. Conclusion. OFI extracted oil has in vitro antimicrobial/fungal properties and in vivo wound healing activity. It seems to be efficient in the treatment of cutaneous infections and the promoting of the scarring process.

43 citations

Journal ArticleDOI
H. Najjar1, H. Batis1
TL;DR: In this article, the authors summarize current progress on the bulk and surface characteristics of Mn-containing perovskite oxides known for their good catalytic activity in atmospheric pollutant abatement.
Abstract: In this article, we summarize current progress on the bulk and surface characteristics of Mn-containing perovskite oxides known for their good catalytic activity in atmospheric pollutant abatement. These materials are emphasized as serious alternatives for noble metal-based catalysts (Pt, Rh, Pd) in many catalytic applications particularly in automotive exhaust catalytic converters, mainly due to their low cost, good thermal stability at high temperature and ease of preparation compared to supported noble metal catalysts. The success of such materials is mainly related to Mn3+ and Mn4+ mixed valence and the resulted point defects formed after incorporation of a large variety of metals with different size and charge in the perovskite structure. These parameters could also affect the Mn reducibility and oxygen species mobility considered as one of the most determining factors in catalytic activity. The effect of perovskite metallic composition on the surface Mn oxidation state and relative cations s...

43 citations

Journal ArticleDOI
TL;DR: An efficient MRI–PET image fusion approach based on non-subsampled shearlet transform (NSST) and simplified pulse-coupled neural network model (S-PCNN) has a better performance than other current approaches in terms of fusion mutual information, entropy, SD, fusion quality, and spatial frequency.
Abstract: Magnetic resonance imaging (MRI) and positron emission tomography (PET) image fusion is a recent hybrid modality used in several oncology applications. The MRI image shows the brain tissue anatomy and does not contain any functional information, while the PET image indicates the brain function and has a low spatial resolution. A perfect MRI–PET fusion method preserves the functional information of the PET image and adds spatial characteristics of the MRI image with the less possible spatial distortion. In this context, the authors propose an efficient MRI–PET image fusion approach based on non-subsampled shearlet transform (NSST) and simplified pulse-coupled neural network model (S-PCNN). First, the PET image is transformed to YIQ independent components. Then, the source registered MRI image and the Y -component of PET image are decomposed into low-frequency (LF) and high-frequency (HF) subbands using NSST. LF coefficients are fused using weight region standard deviation (SD) and local energy, while HF coefficients are combined based on S-PCCN which is motivated by an adaptive-linking strength coefficient. Finally, inverse NSST and inverse YIQ are applied to get the fused image. Experimental results demonstrate that the proposed method has a better performance than other current approaches in terms of fusion mutual information, entropy, SD, fusion quality, and spatial frequency.

43 citations


Authors

Showing all 11809 results

NameH-indexPapersCitations
Walid Saad8574930499
Alexandre Mebazaa8371639967
Albert Y. Zomaya7594624637
Anis Larbi6725915984
Carmen Torres6446115416
Chedly Abdelly6042914181
Hans R. Kricheldorf5782518670
Mohamed Benbouzid5149212164
Enrique Monte481187868
Fayçal Hentati4715310376
A. D. Roses4512024719
Laurent Nahon452056252
Bessem Samet453087151
Maxim Avdeev425268673
Abdellatif Boudabous401745605
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
2022130
20211,621
20201,599
20191,685
20181,689