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Topic Review
Artificial Neural Networks and Energy Forecasting
Load prediction with higher accuracy and less computing power has become an important problem in the smart grids domain in general and especially in demand-side management (DSM), as it can serve to minimize global warming and better integrate renewable energies. Indeed, artificial neural networks (ANN) are the most used methods in forecasting electrical load. They are widely employed in this field for their numerous advantages. In fact, the complexity of this task is considerable due to several factors/parameters, such as weather and holidays (linear and non-linear relationships), which is a well-suited problem for ANNs and their capacity to deal with non-linear relationships.
  • 733
  • 21 Jun 2022
Topic Review
Google Cast
Google Cast is a proprietary protocol developed by Google for playing Internet-streamed audio/video content on a compatible consumer device. The protocol is used to initiate and control playback of content on digital media players, high-definition televisions, and home audio systems using a mobile device, personal computer, or smart speaker. The protocol was first launched on July 24, 2013, to support Google's first-generation Chromecast player. The Google Cast SDK was released on February 3, 2014, allowing third parties to modify their software to support the protocol. According to Google, over 20,000 Google Cast-ready apps were available as of May 2015. Support for Google Cast has since been integrated into subsequent devices, such as the Nexus Player and other Android TV devices (such as televisions), as well as soundbars, speakers, and later models of the Chromecast. Consumer devices that natively support the protocol are marketed as Chromecast built-in. As of October 2017, over 55 million Chromecasts and Chromecast built-in devices have been sold.
  • 733
  • 19 Oct 2022
Topic Review
Distributed Denial-of-Service Attacks
With the rapid advancement and transformation of technology, information and communication technologies (ICT), in particular, has attracted everyone’s attention. The attackers took advantage of this and can be caused serious problems, such as malware attacks, ransomware, SQL injection attack and so on. One of the dominant attacks, known as distributed denial-of-service (DDoS), has been observed as the main reason for information hacking.
  • 733
  • 21 Sep 2022
Topic Review
Cybersecurity in ICT Supply Chains
According to the US National Institute for Standards and Technology (NIST), cyber resilience is defined as “the ability to anticipate, withstand, recover from, and adapt to adverse conditions, stresses, attacks, or compromises on systems that include cyber resources”. The specific demands of supply chains built upon large and complex IoT systems, make it a must to design a coordinated framework for cyber resilience provisioning, intended to guarantee trusted supply chains of ICT systems, built upon distributed, dynamic, potentially insecure, and heterogeneous ICT infrastructures. Today, the resilience of ICT systems is premium, and every ICT system is expected to implement at least a set of basic mechanisms to prevent, resist, and recover from any type of disruption in a timely manner, thus minimizing the impact on service quality and user experience. Particularly in complex ICT supply chain scenarios, the ICT implementation of physical supply chains, serving multiple actors in finance, manufacturing, healthcare, and many other sectors, not only individual parts of the supply chain need to be secured and reliably provisioned, but also the end-to-end process of securing the ICT supply chain. The concept of cyber resilience is expected to become the norm, and one of the key measures of an ICT system’s ability to continue its operations in the event of a cyber attack (be it either software or hardware) or incident.
  • 733
  • 08 Oct 2021
Topic Review
Data Fusion in Agriculture
The term “data fusion” can be defined as “the process of combining data from multiple sources to produce more accurate, consistent, and concise information than that provided by any individual data source”. Other stricter definitions do exist to better fit narrower contexts. This type of approach has been applied to agricultural problems since the first half of the 1990s, and there has been an increase in the use of this approach. Arguably, the main challenge involved in the use of data fusion techniques involves finding the best approach to fully explore the synergy and complementarities that potentially exist between different types of data and data sources.
  • 733
  • 07 Apr 2022
Topic Review
Machine Learning Applications in Surface Transportation Systems
Surface transportation has evolved through technology advancements using parallel knowledge areas such as machine learning (ML). ML is the most sophisticated state-of-the-art knowledge branch offering the potential to solve unsettled or difficult-to-solve problems as a data-driven approach.
  • 732
  • 23 Sep 2022
Topic Review
Discipline (Academia)
An academic discipline or academic field is a subdivision of knowledge that is taught and researched at the college or university level. Disciplines are defined (in part), and recognized by the academic journals in which research is published, and the learned societies and academic departments or faculties within colleges and universities to which their practitioners belong. It includes language, art and cultural studies and other scientific disciplines. It incorporates expertise, people, projects, communities, challenges, studies, inquiry, research areas, and facilities that are strongly associated with a given scholastic subject area or college department. For example, the branches of science are commonly referred to as the scientific disciplines, e.g. physics, chemistry, and biology. Individuals associated with academic disciplines are commonly referred to as experts or specialists. Others, who may have studied liberal arts or systems theory rather than concentrating in a specific academic discipline, are classified as generalists. While academic disciplines in and of themselves are more or less focused practices, scholarly approaches such as multidisciplinarity/interdisciplinarity, transdisciplinarity, and cross-disciplinarity integrate aspects from multiple academic disciplines, therefore addressing any problems that may arise from narrow concentration within specialized fields of study. For example, professionals may encounter trouble communicating across academic disciplines because of differences in language, specified concepts or methodology. Some researchers believe that academic disciplines may, in the future, be replaced by what is known as Mode 2 or "post-academic science", which involves the acquisition of cross-disciplinary knowledge through collaboration of specialists from various academic disciplines.
  • 732
  • 24 Nov 2022
Topic Review
Industrial Control Systems Technologies
Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers (PLC), play a crucial role in managing and regulating industrial processes. However, ensuring the security of these systems is of utmost importance due to the potentially severe consequences of cyber attacks. 
  • 731
  • 21 Nov 2023
Topic Review
Path-Planning Approaches for Multiple Mobile Robots
Numerous path-planning studies have been conducted due to the challenges of obtaining optimal solutions. The multi-robot path-planning approaches have been classified as classical approaches, heuristic algorithms, bio-inspired techniques, and artificial intelligence approaches. Bio-inspired techniques are the most employed approaches, and artificial intelligence approaches have gained more attention. 
  • 731
  • 15 Sep 2022
Topic Review
IoT Serverless Computing at the Edge
Serverless computing is a new concept allowing developers to focus on the core functionality of their code, while abstracting away the underlying infrastructure. Even though there are existing commercial serverless cloud providers and open-source solutions, dealing with the explosive growth of new Internet of Things (IoT) devices requires more efficient bandwidth utilization, reduced latency, and data preprocessing closer to the source, thus reducing the overall data volume and meeting privacy regulations. One way of achieving this is to move serverless computing to the network edge.
  • 731
  • 26 Oct 2021
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