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Topic Review
Mobile Learning Technologies for Education
The digital revolution is transforming education by using information and communication technologies (ICTs) to improve student's learning outcomes. In the last 50 years, changes can be seen in every area of society, such as culture, entertainment, and social interaction. However, the current educational model is very similar to how it was back then. Due to the characteristics of mobile devices, and the inexperience of teachers and educational institutions, students may experience distractions in their learning and may be involved in inefficient educational methodologies. Digital revolution is transforming these educational models, involving students, teachers, and educational institutions in this process[3]. The appropriate use of digital technologies and a pedagogical approach in the design of learning models could generate an improvement in the learning results of the students. Today’s world demands more efficient learning models that allow students to play a more active role in their education. Technology is having an impact on how instruction is delivered and how information is found and share. Until very recently, the educational models encouraged memorization as an essential learning skill. These days, technologies have changed the educational model and access to information. Knowledge is available online, mostly free, and easily accessible. Reading, sharing, listening and, doing are currently necessary skills for education. The study of innovation in education systems has increasingly attracted the attention of academics around the world. Educational innovation refers to new ways of delivering education in a way that impacts new generations of students. The educational model in higher education institutions (HEIs) was not designed for this generation of "digital natives". Therefore, HEIs face the challenge of improving their teaching strategies and making them attractive to students and their needs. Mobile devices have become a complete set of applications, support, and help for educational organizations. By conducting an analysis of the behavior and use of mobile devices on current students, efficient educational applications can be developed. Although there are several initiatives for the use of mobile learning in education, there are also issues linked to this technology that must be addressed.
  • 1.1K
  • 11 May 2021
Topic Review
Three-Dimensional Printing
Additive manufacturing with an emphasis on 3D printing has recently become popular due to its exceptional advantages over conventional manufacturing processes. However, 3D printing process parameters are challenging to optimize, as they influence the properties and usage time of printed parts. Therefore, it is a complex task to develop a correlation between process parameters and printed parts’ properties via traditional optimization methods. A machine-learning technique was recently validated to carry out intricate pattern identification and develop a deterministic relationship, eliminating the need to develop and solve physical models. In machine learning, artificial neural network (ANN) is the most widely utilized model, owing to its capability to solve large datasets and strong computational supremacy.
  • 1.1K
  • 17 Feb 2021
Topic Review
IoT Word's Hardware Requirements
The growth of the number of devices connected to the Internet is steadily increasing. In the future, more and more everyday objects will host embedded electronics to make them smarter and more useful then before, under the name of Internet of Things (IoT). Most of these items will be powered by small batteries and thus will have a limited energy budget. They will have to accurately balance performances and power usage to extend their lifespan. This can be implemented at various level, from the lowest one, the technology, to the highest, the algorithm. It is not possible to send all the data to a cloud server for processing, in particular if data can be preprocessed effectively to save computational resources on the cloud and to send only useful information. This paradigm is called edge-computing, as the end devices act at the "edge" of the cloud. This survey paper presents various recent ultra-low power hardware architectures for IoT, along with the explanation of some low power techniques to make the IoT tasks possibile at the large scales required. Some newest research topics are discussed, leading to the description of a fully functional digital system which encloses all the presented techniques.
  • 1.1K
  • 28 Oct 2020
Topic Review
Base 16 Floating Point
IBM System/360 computers, and subsequent machines based on that architecture (mainframes), support a hexadecimal floating-point format (HFP). In comparison to IEEE 754 floating-point, the IBM floating-point format has a longer significand, and a shorter exponent. All IBM floating-point formats have 7 bits of exponent with a bias of 64. The normalized range of representable numbers is from 16−65 to 1663 (approx. 5.39761 × 10−79 to 7.237005 × 1075). The number is represented as the following formula: (−1)sign × 0.significand × 16exponent−64.
  • 1.1K
  • 01 Dec 2022
Topic Review
Intrusion Detection Systems
Intrusion detection systems and intrusion prevention systems are to prevent network intruders' attack and malicious compliance. Network communities have produced benchmark datasets available for researchers to improve the accuracy of intrusion detection systems. The scientific community has presented data mining and machine learning-based mechanisms to detect intrusion with high classification accuracy. 
  • 1.1K
  • 21 Sep 2021
Topic Review
Scalable Distributed Hyperledger Fabric
Blockchain technology, with its decentralization characteristics, immutability, and traceability, is well-suited for facilitating secure storage, sharing, and management of data in decentralized Internet of Things (IoT) applications. Despite the increasing development of blockchain platforms, there is still no comprehensive approach for adopting blockchain technology in IoT systems. This is due to the blockchain’s limited capability to process substantial transaction requests from a massive number of IoT devices. Hyperledger Fabric (HLF) is a popular open-source permissioned blockchain platform hosted by the Linux Foundation. 
  • 1.1K
  • 26 Jul 2022
Topic Review
Intersection (Euclidean Geometry)
In geometry, an intersection is a point, line, or curve common to two or more objects (such as lines, curves, planes, and surfaces). The simplest case in Euclidean geometry is the intersection of two distinct lines, which either is one point or does not exist if the lines are parallel. Determination of the intersection of flats – linear geometric objects embedded in a higher-dimensional space – is a simple task of linear algebra, namely the solution of a system of linear equations. In general the determination of an intersection leads to non-linear equations, which can be solved numerically, for example using Newton iteration. Intersection problems between a line and a conic section (circle, ellipse, parabola, etc.) or a quadric (sphere, cylinder, hyperboloid, etc.) lead to quadratic equations that can be easily solved. Intersections between quadrics lead to quartic equations that can be solved algebraically.
  • 1.1K
  • 31 Oct 2022
Topic Review
Reduction (Complexity)
In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem. A reduction from one problem to another may be used to show that the second problem is at least as difficult as the first. Intuitively, problem A is reducible to problem B if an algorithm for solving problem B efficiently (if it existed) could also be used as a subroutine to solve problem A efficiently. When this is true, solving A cannot be harder than solving B. "Harder" means having a higher estimate of the required computational resources in a given context (e.g., higher time complexity, greater memory requirement, expensive need for extra hardware processor cores for a parallel solution compared to a single-threaded solution, etc.). We write A ≤m B, usually with a subscript on the ≤ to indicate the type of reduction being used (m : mapping reduction, p : polynomial reduction). The mathematical structure generated on a set of problems by the reductions of a particular type generally forms a preorder, whose equivalence classes may be used to define degrees of unsolvability and complexity classes.
  • 1.1K
  • 30 Sep 2022
Topic Review
AI-Assisted Design-on-Simulation for Life Prediction
Many researchers have adopted the finite-element-based design-on-simulation (DoS) technology for the reliability assessment of electronic packaging. DoS technology can effectively shorten the design cycle, reduce costs, and effectively optimize the packaging structure. However, the simulation analysis results are highly dependent on the individual researcher and are usually inconsistent between them. Artificial intelligence (AI) can help researchers avoid the shortcomings of the human factor. 
  • 1.1K
  • 28 Sep 2021
Topic Review
Applications of Multi-Connectivity in 5G Networks and Beyond
To manage a growing number of users and an ever-increasing demand for bandwidth, future 5th Generation (5G) cellular networks will combine different radio access technologies (cellular, satellite, and WiFi, among others) and different types of equipment (pico-cells, femto-cells, small-cells, macro-cells, etc.). Multi-connectivity is an emerging paradigm aiming to leverage this heterogeneous architecture. To achieve that, multi-connectivity proposes to enable each User Equipment to simultaneously use component carriers from different and heterogeneous network nodes: base stations, WiFi Access Points, etc. This could offer many benefits in terms of Quality of Service, energy efficiency, fairness, mobility, spectrum and interference management. That is why this survey aims to present an overview of multi-connectivity in 5G networks and Beyond. To do so, a comprehensive review of existing standards and enabling technologies is proposed. Then, a taxonomy is defined to classify the different elements characterizing multi-connectivity in 5G and future networks. Thereafter, existing research works using multi-connectivity to improve Quality of Service, energy efficiency, fairness, mobility management and spectrum and interference management are analyzed and compared. In addition, lessons common to these different contexts are presented. Finally, open challenges for multi-connectivity in 5G networks and Beyond are discussed.
  • 1.1K
  • 24 Oct 2022
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