In this paper, a new junctionless optical controlled field effect transistor (JL-OCFET) and its comprehensive theoretical model is proposed to achieve high optical performance and low cost fabrication process. Exhaustive study of the device characteristics and comparison between the proposed junctionless design and the conventional inversion mode structure (IM-OCFET) for similar dimensions are performed. Our investigation reveals that the proposed design exhibits an outstanding capability to be an alternative to the IM-OCFET due to the high performance and the weak signal detection benefit offered by this design. Moreover, the developed analytical expressions are exploited to formulate the objective functions to optimize the device performance using Genetic Algorithms (GAs) approach. The optimized JL-OCFET not only demonstrates good performance in terms of derived drain current and responsivity, but also exhibits superior signal to noise ratio, low power consumption, high-sensitivity, high ION/IOFF ratio and high-detectivity as compared to the conventional IM-OCFET counterpart. These characteristics make the optimized JL-OCFET potentially suitable for developing low cost and ultrasensitive photodetectors for high-performance and low cost inter-chips data communication applications.
Since the difficulties that we are facing during all the activities, cooperative learning considers as the effective strategy to overcome these difficulties as well as improving the pupils’skills. This study stresses on the performance and organize this type of learning which led to the exchange and interaction between the group members as well as to its evaluation that allows pupils to know their abilities and their weaknesses Which give them the chance to suggest solutions for the coming collaborations that make them participate in their scientific track and make them self-reliant ones. Face aux difficultés rencontrées lors des différentes activités, l’apprentissage coopératif se considère comme une stratégie efficace pour surmonter ces difficultés et améliorer les compétences des élèves. Ce travail se focalise sur le fonctionnement et l’organisation de ce type d’apprentissage, qui favorisent l’échange et l’interaction entre les membres du groupe. De plus, sur son évaluation, qui permet aux élèves de savoir leurs forces et leurs faiblesses et de proposer des solutions pour les coopérations à venir, ce qui les implique dans leur processus d’apprentissage et les rendre plus autonomes.
Pour son grande importance, et son rôle qui est la base de l’industrie, on trouve plusieurs travaux de recherche qui sont consacrés à l’étude du l’usinage afin d’augmenter la productivité, d’améliorer la qualité du produit et aussi de concevoir des machines-outils capables de satisfaire les besoins du marché. Ces études nécessitent la compréhension du processus du phénomène de coupe afin de déterminer les paramètres de coupe. Ce travail de recherche est une approche pour prédire les efforts de coupe pour le fraisage périphérique en utilisant la théorie prédictive de l’usinage d’Oxley [1] et en se basent sur la loi de comportement de Johnson-Cook [2] pour le matériau usiné.
This study was planned to determine the frequency of β-thalassemia mutations in Batna region (Northeast Algeria). Nineteen blood samples of clinically thalassemic children patients were collected from Department of Pediatrics, University Hospital of Batna. We carried out the molecular genetics of beta globin gene by the method of minisequencing using Snapshot™ kit (Applied Biosystems) in search of the four most common HBB genetic variants including three β-thalassemia mutations: codon 39(C>T) (HBB: c.118C>T), IVSI-110(G>A) (HBB: c.93-21G>A), and IVSI-1-2(T>G) (HBB: c.92+2T>G), as well as the hemoglobin S variant (HBB: c.20A>T). We used direct DNA sequencing to detect the rare mutations of beta-globin gene. We have revealed the presence of four different β-globin gene mutations responsible for β-thalassemia in Batna region. According to our results, the nonsense mutation at codon 39 (C>T) is the most frequent mutation type in our province, the same as other geographical regions of Algeria. It is followed by codon 54(-T), detected in a second Algerian family (the proband was homozygote), and the first association of Hb Knossos: codon 27 (G>T) allele with codon 39 (C>T) in the Algerian population. Here we reportws also the association of codon 39(C>T) with IVS-I-110 (G>A). Our preliminary results show the predominance of codon 39 (c>t) mutation of HBB gene in Batna region
The volume contains the proceedings of the first edition of the International Conference on Internet of Things and Machine Learning (IML'17). The International Conference on Internet of Things and Machine Learning (IML'17) represents an ideal opportunity for the students and the researchers from both industrial and academic domains having as main objective to present their latest ideas and research results in any one of the IML'17 topics. IML'17 aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges, emerging technologies and progress in standards on topics relevant to today's fast moving areas of Internet of Things and Machine Learning.
This volume contains the proceedings of the second edition of the International Conference on Internet of Things, Data and Cloud Computing (ICC 2017). The ICC 2017 conference represents an excellent opportunity for the students and the researchers, from both industrial and academic domains, having as main objective to present their latest ideas and research results in any one of the ICC 2017 topics.
Due to the fast development of the cloud computing and the computer science technology, the researchers are more attracted to combine the Internet of Things (IoT) and the Data and Cloud Computing. The Internet of Things (IoT) paradigm is based on artificially-intelligent and self-configuring nodes (things) interconnected in a dynamic and global network infrastructure. Internet of things refers to the real world and to things with limited storage and processing ability. It also refers to the main problems concerning reliability, performance, security, and privacy. On the other hand, cloud computing provides huge capacities of storage and substantial processing power, that may solve the problems of most of the Internet of things technologies.
ICC 2017 aims to provide a forum for the scientists to present their latest research results and perspectives for future works in the IoT, Data and Cloud Computing fields. The ICC 2017 conference is a scientific event, which gathered leading researchers and practitioners, who presented, exchanged, and discussed their original ideas. The ICC 2017 conference paper authors have provided high quality contributions reviewed by an international program committee featuring renowned international experts on a broad range of IoT, Data and Cloud Computing topics. More than 590 papers were submitted to the ICC 2017 conference from authors of 58 countries. Two or three reviewers were assigned to each paper and according to these reviews, 213 papers were accepted, which provides an acceptance rate of 36 %.
