ICT and Mobile Technology Features Predicting the University of Indian and Hungarian Student for the Real-Time

Author(s):  
Chaman Verma ◽  
Veronika Stoffova ◽  
Zoltan Illes ◽  
Mandeep Singh
2019 ◽  
Vol 4 (1) ◽  
pp. 93
Author(s):  
Leo F.H. Ma ◽  
Ling Ling Yu

Library services for Hong Kong-based students enrolled in distance learning programs on information studies, offered by the Charles Sturt University (CSU), Australia in collaboration with the School of Professional and Continuing Education of the University of Hong Kong (HKUSPACE), were supported by the University of Hong Kong Libraries utilizing a face-to-face format for many years. With the advancement of internet technology, new e-learning software, mobile technology and ever-growing online resources, CSU and HKUSPACE course administrators considered that online library instruction programs could be supported and delivered by the librarians of CSU at Australia remotely to Hong Kong students. Several real-time, online instruction programs were initiated since late 2013. The successful launching of the programs provides evidence to support the provision of online library instruction through not only personal computers, but also mobile devices. Based on a qualitative analysis, it was concluded that delivering library instruction programs by internet and mobile technology to distance learning students in higher education is achievable. More library services can be planned by making use of this successful experience.


Author(s):  
Ghulam Q. Memon ◽  
A.G. R. Bullen

The application of modern heuristic techniques, neural networks, simulated annealing, tabu search, and genetic algorithms for multivariate optimization is receiving increased attention compared with traditional techniques like hill climbing and gradient search. In the present research the efficiency and effectiveness of genetic algorithms are investigated for their application to the real-time optimization of traffic control signal timings and are compared with the efficiency and effectiveness of the Quasi-Newton gradient search method. The development, testing, comparison, and evaluation of these two multivariate optimization techniques for inclusion in the real-time traffic adaptive control system LOCAL model developed at the University of Pittsburgh as a part of an FHWA contract to a consortium led by the University of Maryland are described. The measures of effectiveness used in the comparisons include optimum total stopped delay, percentage of improvement in total stopped delay, optimal phase timings, execution time, and code size. Testing and evaluation results indicate that genetic algorithms are more efficient and effective than the Quasi-Newton method for this real-time application.


Author(s):  
Felipe Ribolla Masetti ◽  
Eduardo A. Tannuri ◽  
Pedro Cardoso de Mello

This paper presents small scale low-speed maneuvering tests with an oceanographic research vessel model. The purpose of the tests is to validate the mathematical model of the real-time ship simulator for low-speed maneuvering developed by the University of São Paulo. The tests are intended to verify the behavior of the vessel and the model under transient and low-speed tests.


The present paper focused on the prediction of the university student's gender towards Information Communication Technology (ICT) and Mobile Technology (MT) in Indian and Hungary.In this paper, four experiments were performed on dataset using three popular classifiersnamed Support Vector Machine (SVM), Artificial Neural Network (ANN) and Random Forest (RF) with three numerous testing technique such as K-fold Cross Validation (KCV), Hold Out (HO) and Leave One Out (LOO).Three different applications named Explorer, Experimenter and KnowledgeFlow (KF) of Weka 3.9.1 are used for predictive modeling. The class balancing has been also applied using Synthetic Minority Over-Sampling (SMOTE) to enhance the prediction accuracy of each algorithm. Further, a significant difference among classifier’s accuracies has also been tested using T-test at the 0.05 confidence level. Also, CPU user time has been calculated to train each model to justify to present real-time prediction of gender towards ICT and MT.The results of the study inferred that the CPU time is significantly differed in between RF (0.18 Seconds), SVM (0.06 seconds) and ANN (4.40 seconds).Also, the RF classifier (89.4%) outperformed others with LOO method in terms of accuracy.The authors recommended these predictive models to be deployed as an online prediction for the gender of the student towards ICT and MT at both universities to track technological activities.


Author(s):  
Eduardo A. Tannuri ◽  
Felipe Rateiro ◽  
Carlos Hakio Fucatu ◽  
Marcos Donato Ferreira ◽  
Isaias Q. Masetti ◽  
...  

This paper presents the mathematical model of the real-time ship simulator for low-speed maneuvering developed by the University of São Paulo, Transpetro and Petrobras, with the technical collaboration of Brazilian Pilots Association (CONAPRA). The software is based on the TPN (Numerical Offshore Tank) numerical code which had several modifications, in order to perform real-time simulations. After the complete description of the mathematical model, some illustrative results of simulations executed with pilots are exposed.


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