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The vehicle routing problem

Can cities become smart without being sustainable? A systematic review of the literature

Understanding 'smart cities': Intertwining development drivers with desired outcomes in a multidimensional framework

Any online transaction that involves digital money is a bit of a challenge these days with the rising threats of hackers trying to steal bank details posted online. This leads to the invention of various kinds of crypto-currency, Bitcoin being one of them. The technology behind using the Bitcoin is popularly called as Blockchain. Blockchain is a digitized, de-centralized, public ledger of all crypto-currency transaction/s. Blockchain tries to create and share all the online transactions, stored in a distributed ledger, as a data structure on a network of computers. It validates the transactions using peer-to-peer network of computers. It allows users to make and verify transactions immediately without a central authority. Blockchain is a transaction database which contains information about all the transactions ever executed in the past and works on Bitcoin protocol. In this analysis paper we discussed what is Blockchain?, SWOT analysis of BC, Types of BC and how Blockchain works along with its advantages and disadvantages.

Analysis of Blockchain technology: pros, cons and SWOT

The main purpose of this article is to investigate the impact of teacher’s position on students’ performance in higher education. A new pedagogical approach based on collaborative learning is used due to the design of a smart learning environment (SLE). This workspace uses, respectively, information and communication technologies (ICT) and radio frequency identification (RFID)-based indoor positioning system in order to examine students’ perceptions and the involvement of groups into this smart classroom. The merge of interactive multimedia system, ubiquitous computing and several handheld devices should lead to a successful active learning process. Firstly, we provide a detailed description of the proposed collaborative environment using mainly new technologies and indoor location system serving as a platform for evaluating attention. The research provides an obvious consensus on the teacher’s role in assessing classroom attention. We discuss our preliminary results on how teacher’s position influences essentially students’ participation. Our first experiments show that the integration of novel technologies in the area of higher education is extremely promoting the traditional way of teaching. The smart classroom model has been recommended to support this evolution. As a result, the found results indicate that the teacher’s position increases the learner’s motivation, engagement and effective learning.

https://files.eric.ed.gov/fulltext/EJ1203430.pdf

Smart Learning Environment: Teacher's Role in Assessing Classroom Attention.

Ubiquitous learning environments have an increasing trend considering the huge number of connected smart devices dedicated to educational services. Ubiquitous learning (U-learning) provides to students the possibility to learn at anyplace and anytime within the collaborative environment using interactive multimedia system that enables effective communication among teacher and learners. The architecture of ubiquitous learning environment (ULE) still suffers from the problems of vulnerability. Blockchain (BC) technology recently explored to provide much more privacy and security using essentially peer-to-peer (P2P) networks has a significant role in the development of decentralized topologies. This paper expounds a novel BC-based architecture for ULE that preserves the benefits of security and privacy. The architecture offers new opportunities to design secured collaborative learning system. It provides data exchange with BC using trust methods within the decentralized topology. The evaluation of this implemented system demonstrates its efficiency while it delivers security and privacy for ULE.

Towards a New Ubiquitous Learning Environment Based on Blockchain Technology

Besides being a hard combinatorial problem, the VRP is also a spatial problem. Hence, effective decision making in this field strongly requires the integration of GIS and optimization systems (GIS-O). This article integrates GIS and optimization tools for solving the vehicle routing problem with loading and distance requirements (DCVRP). A general outline of the multi-step integration is pointed out showing the interaction of the GIS and the spatial optimization according to the loose coupling strategy. The computational performance of the TS-VRP algorithm for the DCVRP turned out to be quite efficient on both computation time and solution quality. The Tunisian case study well illustrates the incentive behind using such a spatial decision support system that allows the management of the problem from the data acquisition to the visualization of possible simulation scenarios in a more realistic way.

Tabu-based GIS for solving the vehicle routing problem

A Hybrid Metaheuristic for the Distance-constrained Capacitated Vehicle Routing Problem☆

A spatio-temporal analysis of Tunisian forests over the 8 years from 2007 to 2014 is presented in this study. We compare the extent of the forest loss 4 years before and after the 2011 Tunisian revolution using estimates from Global Forest Change Data (GFCD) for 11 governorates located in northern Tunisia. Results show that forest losses have almost tripled from 32 km2 in the period from 2007 to 2010 compared to 90 km2 for 2011–2014, with an annual increment estimated at 3.06 km2 per year. Among the 11 governorates studied, only the governorates of Bizerte and Nabeul revealed a statistically significant difference (p value < 0.05) between the means of the forest loss recorded before the revolution and those registered during the post-revolution period. At the delegation level, a significant positive spatial autocorrelation (p value < 0.05) was revealed for both periods, with Moran’s I values of 0.14 and 0.06 before and after the revolution, respectively. The location of forest loss varied over the years with hot spots occurring in the Bizerte, Jendouba, and Beja governorates between 2007 and 2010 and in Bizerte and Le Kef governorates from 2011 to 2014. This study is the first attempt to map changes to forest cover in Northern Tunisia, which may help the development of proper forest conservation and management strategies in the country.

Sami Faiz

Papers

Smart Learning Environment: Teacher's Role in Assessing Classroom Attention.

Towards a New Ubiquitous Learning Environment Based on Blockchain Technology

Tabu-based GIS for solving the vehicle routing problem

A Hybrid Metaheuristic for the Distance-constrained Capacitated Vehicle Routing Problem☆

Forest Cover in Tunisia Before and After the 2011 Tunisian Revolution: a Spatial Analysis Approach