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Topic Review
When 5G Meets Deep Learning
This paper presents a systematic review about how deep learning is being applied to solve some 5G issues. Differently from the current literature, we examine data from the last decade and the works that address diverse 5G specific problems, such as physical medium state estimation, network traffic prediction, user device location prediction, self network management, among others. 
  • 1.0K
  • 23 Dec 2020
Topic Review
Structure of Power QKD Network
Considering the complexity of the power grid environment and the diversity of power communication transmission losses, this paper proposes a quantum key distribution (QKD) network structure suitable for power business scenarios. Through the simulation of the power communication transmission environment, the performance indicators of quantum channels and data interaction channels in the power QKD system are tested and evaluated from six aspects, such as distance loss, galloping loss, splice loss, data traffic, encryption algorithm, and system stability. In the actual environment, this paper combines the production business to build a QKD network suitable for power scenarios, and conducts performance analysis. The experimental results show that the power QKD technology can meet the operation index requirements of power business, as well as provide a reference for the large-scale application of the technology.
  • 1.0K
  • 12 Apr 2021
Topic Review
Walking Recognition in Mobile Devices
Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for many applications in the domains of medical diagnosis, elderly assistance, indoor localization, and navigation. The information captured by the inertial sensors of the phone (accelerometer, gyroscope, and magnetometer) can be analyzed to determine the activity performed by the person who is carrying the device, in particular in the activity of walking. Nevertheless, the development of a standalone application able to detect the walking activity starting only from the data provided by these inertial sensors is a complex task. This complexity lies in the hardware disparity, noise on data, and mostly the many movements that the smartphone can experience and which have nothing to do with the physical displacement of the owner. In this work, we explore and compare several approaches for identifying the walking activity. We categorize them into two main groups: the first one uses features extracted from the inertial data, whereas the second one analyzes the characteristic shape of the time series made up of the sensors readings. Due to the lack of public datasets of inertial data from smartphones for the recognition of human activity under no constraints, we collected data from 77 different people who were not connected to this research. Using this dataset, which we published online, we performed an extensive experimental validation and comparison of our proposals.
  • 1.0K
  • 01 Nov 2020
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.
  • 1.0K
  • 11 May 2021
Topic Review
Data-Driven Production Logistics
A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. within data-driven production logistics, data is the backbone of the system and all the components are bound together with data. Any decision is made based on data rather than intuition or even experience. All production logistics related activities are supported by data, which is constantly collected from data sources such as machines, human resources, sensors, actuators, etc. A data-driven approach facilitates transition towards a smart, autonomous production logistics system.
  • 1.0K
  • 28 Apr 2021
Topic Review
Propagation Graph
Propagation Graphs are a mathematical modelling method for radio propagation channels. A propagation graph is a signal flow graph in which vertices represent transmitters, receivers or scatterers, and edges models propagation conditions between vertices. Propagation graph models were initially developed in for multipath propagation in scenarios with multiple scattering, such as indoor radio propagation. It has later been applied in many other scenarios.
  • 1.0K
  • 21 Oct 2022
Topic Review
Control-Based 4D Printing
Building on the recent progress of four-dimensional (4D) printing to produce dynamic structures, this study aimed to bring this technology to the next level by introducing control-based 4D printing to develop adaptive 4D-printed systems with highly versatile multi-disciplinary applications, including medicine, in the form of assisted soft robots, smart textiles as wearable electronics and other industries such as agriculture and microfluidics. This study introduced and analyzed adaptive 4D-printed systems with an advanced manufacturing approach for developing stimuli-responsive constructs that organically adapted to environmental dynamic situations and uncertainties as nature does. The adaptive 4D-printed systems incorporated synergic integration of three-dimensional (3D)-printed sensors into 4D-printing and control units, which could be assembled and programmed to transform their shapes based on the assigned tasks and environmental stimuli. This paper demonstrates the adaptivity of these systems via a combination of proprioceptive sensory feedback, modeling and controllers, as well as the challenges and future opportunities they present.
  • 1.0K
  • 28 Oct 2020
Topic Review
Application Programming Interface
Template:Hatnote group An application programming interface (API) is a computing interface which defines interactions between multiple software intermediaries. It defines the kinds of calls or requests that can be made, how to make them, the data formats that should be used, the conventions to follow, etc. It can also provide extension mechanisms so that users can extend existing functionality in various ways and to varying degrees. An API can be entirely custom, specific to a component, or it can be designed based on an industry standard to ensure interoperability. Through information hiding, APIs enable modular programming, which allows users to use the interface independently of the implementation.
  • 1.0K
  • 18 Oct 2022
Topic Review
9 Track Tape
The IBM System/360, announced in 1964, introduced what is now generally known as 9 track tape. The ​1⁄2 inch (12.7 mm) wide magnetic tape media and reels are the same size as the earlier IBM 7 track format it replaced, but the new format has eight data tracks and one parity track for a total of nine parallel tracks. Data is stored as 8-bit characters, spanning the full width of the tape (including the parity bit). Various recording methods have been employed during its lifetime as tape speed and data density increased, including PE (phase encoding), GCR (group coded recording) and NRZI (non-return-to-zero, inverted, sometimes pronounced "nur-zee"). Tapes come in various sizes up to 3,600 feet (1,100 m) in length. The standard size of a byte was effectively set at eight bits with the S/360 and nine-track tape. For over 30 years the format dominated offline storage and data transfer, but by the end of the 20th century it was obsolete, and the last manufacturer of tapes ceased production in early 2002, with drive production ending the next year.
  • 1.0K
  • 14 Oct 2022
Topic Review
Unique Games Conjecture
In computational complexity theory, the unique games conjecture (often referred to as UGC) is a conjecture made by Subhash Khot in 2002. The conjecture postulates that the problem of determining the approximate value of a certain type of game, known as a unique game, has NP-hard computational complexity. It has broad applications in the theory of hardness of approximation. If the unique games conjecture is true and P ≠ NP, then for many important problems it is not only impossible to get an exact solution in polynomial time (as postulated by the P versus NP problem), but also impossible to get a good polynomial-time approximation. The problems for which such an inapproximability result would hold include constraint satisfaction problems, which crop up in a wide variety of disciplines. The conjecture is unusual in that the academic world seems about evenly divided on whether it is true or not.
  • 1.0K
  • 26 Oct 2022
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