A ubiquitous learning system enables people to learn at any time, at any place and in any form. In particular, it has the context awareness property to provide learners the right information in the right place and at the right time. In this paper, we introduce the design concept for a ubiquitous learning system, U-Guide (Ubiquitous Guide) System. U-Guide integrates two existing technologies, Ad...

The unlicensed spectrum has been utilized to make up the shortage on frequency in new radio (NR) systems. To fully exploit advantages brought by bands, one of key issues is guarantee fair coexistence with WiFi reach this goal, timely and accurate estimation traffic loads an important prerequisite. In paper, a machine learning (ML) based method proposed detect number users bands. An unsupervised...

<p><span id="docs-internal-guid-cea63826-7fff-8080-83de-ad2ba4604953"><span>Thyroid nodule are fluid or solid lump that formed within human’s gland and most thyroid doesn’t show any symptom sign; moreover there certain percentage of cancerous which could lead human into critical situation up to death. Hence, it is one the important type cancer also for detection cancer. Ultras...

This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a semantic gene (knowledge ontology) into the mod...

Giving examples to students or letting students give examples is important in ordinary instruction. However, it is difficult for teacher to provide work-out examples to students since the proper examples are depending on the contexts and varying with students’ life experiences and knowledge. In order to deal with the limitation of ordinary classroom, the study develops a collaborative example-c...

The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of learning? Returning to wrong conjectures complements the paradigm of U-shaped learning [3,7,9,23,27] when a learner returns to old correct conjectures. We explore our problem for classical models of learning in the limit: TxtEx-learning – when a learner stabilizes on a correct conjec...

LTE in unlicensed spectrum (LTE-U) is a promising approach to overcome the wireless spectrum scarcity. However, to reap the benefits of LTE-U, a fair coexistence mechanism with other incumbent WiFi deployments is required. In this paper, a novel deep learning approach is proposed for modeling the resource allocation problem of LTE-U small base stations (SBSs). The proposed approach enables mult...

The spread use of virtual learning environments presents a great potential for the development of applications which meet educational area needs. In view of the importance of a more dynamic implementation and that it will be able to continuously adapt to the students needs, it was proposed and developed the U-SEA (System of Teaching Adapted Ubiquitous). A software built on the basis of virtual ...