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Topic Review
Intelligent Fault Diagnosis
For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the qualitative approach is an important branch.
  • 746
  • 14 Jan 2021
Topic Review
The Internet of Medical Things
Mobile devices have the potential to assist healthcare professionals and to help increasing the well-being of the people. These devices comprise the Internet of Medical Things but it is generally difficult for healthcare institutions to meet compliance of their systems with new medical solutions efficiently. A technology that promises to overcome the issue is the Distributed Ledger Technology through its properties of decentralization, immutability, and transparency. The work aims at giving an overview of the current state-of-the-art of the blockchain-based systems for the Internet of Medical Things, specifically addressing the challenges of reaching user-centricity for these combined systems, and so, highlighting the future potential directions. 
  • 941
  • 08 Jan 2021
Topic Review
Platform for monitoring arboviruses
As part of SDG, the members of the UN aim to end epidemics of neglected tropical diseases by 2030. These include wide range communicable diseases that prevail in tropical and subtropical conditions. These diseases are present in over 149 countries worldwide and are a significant burden on health systems and economies. One major category of neglected tropical disease are arthropod-borne viruses or arboviruses including West Nile virus, yellow fever, dengue, chikungunya and Zika. Arboviruses spread rapidly and as they present very similar symptoms, it is hard to diagnose and select the best treatment. The use of machine learning for the diagnosis and prognosis of these diseases has become increasingly common however there is a paucity of research on deep learning and associated decision support platforms for frontline staff. 
  • 595
  • 25 Dec 2020
Topic Review
Chi square statistic
The Chi-Square test is based on a series of assumptions frequently used in the statistical analysis of experimental data. The main weakness of the chi-square test is that is very accurate only in convergence (in large size samples), and for small sample sizes is exposed to errors of both types (type I and type II). On two scenarios of use - goodness of fit and contingencies assessment (2x2 tables of contingency) - here are discussed different aspects involving it. Further knowledge on the regard of the type of the error in contingencies assessment push further the analysis of the data, while in the same time opens the opportunity to devise a method for filling the gaps in contingencies (e.g. censored data), both scenarios being discussed here in detail. A program designed to fill the gaps in the assumption of the association is provided.
  • 3.9K
  • 24 Dec 2020
Topic Review
Fog and Edge Computing
The fourth industrial revolution heralds a paradigm shift in how people, processes, things, data and networks communicate and connect with each other. Conventional computing infrastructures are struggling to satisfy dramatic growth in demand from a deluge of connected heterogeneous end points located at the edge of networks while, at the same time, meeting quality of service levels. The complexity of computing at the edge makes it increasingly difficult for infrastructure providers to plan for and provision resources to meet this demand. While simulation frameworks are used extensively in the modelling of cloud computing environments in order to test and validate technical solutions, they are at a nascent stage of development and adoption for fog and edge computing. This paper provides an overview of challenges posed by fog and edge computing in relation to simulation.
  • 1.8K
  • 23 Dec 2020
Topic Review
Simulating Resource Management across the Cloud-to-Thing Continuum
In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption. The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T). This infrastructure is characterised by extreme heterogeneity, geographic distribution, and complexity, where the key performance indicators (KPIs) for the traditional model of cloud computing may no longer apply in the same way. Existing resource management mechanisms may not be suitable for such complex environments and therefore require thorough testing, validation and evaluation before even being considered for live system implementation. Similarly, previously discounted resource management proposals may be more relevant and worthy of revisiting. Simulation is a widely used technique in the development and evaluation of resource management mechanisms for cloud computing but is a relatively nascent research area for new C2T computing paradigms such as fog and edge computing. We present a methodical literature analysis of C2T resource management research using simulation software tools to assist researchers in identifying suitable methods, algorithms, and simulation approaches for future research. We analyse 35 research articles from a total collection of 317 journal articles published from January 2009 to March 2019. We present our descriptive and synthetic analysis from a variety of perspectives including resource management, C2T layer, and simulation.  
  • 1.1K
  • 23 Dec 2020
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. 
  • 1.1K
  • 23 Dec 2020
Topic Review
Internet of Medical Things applications
The Internet of Things (IoT) have been adopted by several areas of the society, such as smart transportation systems, smart cities, smart agriculture, smart energy and smart healthcare. The healthcare is an area that takes a lot of benefits from IoT technology (composing the Internet of Medical Things (IoMT)), since low cost devices and sensors can be use to create medical assistance systems, reducing the deployment and maintenance costs, and at the same time, improving the patients and their family quality of life. However, only IoT is not able to support the complexity of e-health applications. For instance, sensors can generate large amount of data, and the IoT devices do not have enough computational capabilities to process and store these data. Thus, the cloud and fog technologies emerge to mitigate the IoT limitations, expanding the IoMT applications capacities. The cloud computing provides virtual unlimited computational resources, while the fog push the resources closest to the end users, reducing the data transfer latency. Therefore, the IoT, fog, and cloud computing integration provides a robust environment to e-health systems deployment, allowing a plenty of different types of IoMT applications. In this topic review, we present an overview of a systematic mapping with the goal to overview the current state-of-the-art in IoMT applications using IoT, fog and cloud infrastructures.
  • 850
  • 23 Dec 2020
Topic Review
Effect of Surjection on Inheritance
Consider a biological evolutionary process.  We assume some (non-empty) finite set of offspring.  Assume each offspring is assigned as coming from a single set of parents in the previous generation.  There may be more than one offspring from each of set of parents.  This form of mathematical arrangement is called a surjection.   We have briefly described the mechanics of genetics; but we have also described much of mathematical anthropology.   The finding that a process is a surjection does not just describe the algebra, it also predicts important results.  If we have found an inheritance process is a surjection, then each of the offspring is unique, but all of the acts of parental pairs must occur through identical (including isomorphic) means of reproduction; in fact here they require mathematical groups.  We demonstrate from published surveys that all offspring are unique.  Mathematical groups occur in both applications, determining the choices behind parental actions.  The surjection requirements are met in genetics because the mathematics are determined by the mathematical groups determined by quantum mechanics.  In culture theory, similar (and in some cases, isomorphic) groups occur.  Quantum mechanics is usually discussed for very small objects with incredibly short process intervals.  Here, the intervals of reproduction are observable within normal human perception, and for human cultural systems require decades of time for one generation system to be replaced by another.  In genetics, counting of the number of offspring from each pair of “parents” is the actual number of offspring surviving from each pair to reproduce.  Each human culture has its own means of assigning offspring to parental pairs, which may include their surviving genetic offspring, but also may use culturally designated devices such as adoption.  Since surjection also requires that distributions might be forecasted using the Stirling Number of the Second Kind, that result allows culture theory to predict the numbers of offspring per assigned couple, and the percentage of adults engaging in that reproduction.  
  • 1.3K
  • 23 Dec 2020
Topic Review
Iterared Skew Polynomial Rings
Skew polynomial rings used to be, especially during the 1970’s and 1980’s, a popular topic of the modern abstract Algebra with great theoretical interest. The researchers’ attention about them has renewed recently, due to the important applications that they have found to the study of Quantum Groups and to Cryptography. The present work studies a special class of iterated skew polynomial rings over a ring R, defined with respect to a finite set of pairwise commuting derivations of R.
  • 775
  • 17 Dec 2020
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