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Topic Review
Underwater Vision Enhancement
Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the absorption and scattering of incident light by water bodies, the video images collected underwater generally appear blue-green and have an apparent fog-like effect. In addition, blur, low contrast, color distortion, more noise, unclear details, and limited visual range are the typical problems that degrade the quality of underwater video images. Underwater vision enhancement uses computer technology to process degraded underwater images and convert original low-quality images into a high-quality image. The problems of color bias, low contrast, and atomization of original underwater video images are effectively solved by using vision enhancement technology. Enhanced video images improve the visual perception ability and are benefificial for subsequent visual tasks. Therefore, underwater video image enhancement technology has important scientifific signifificance and application value. 
  • 1.1K
  • 03 Mar 2022
Topic Review
Heating, Ventilation, and Air Conditioning System
The heating, ventilation, and air conditioning (HVAC) system is a major energy consumer in office buildings, and its operation is critical for indoor thermal comfort.
  • 1.1K
  • 24 Jun 2022
Topic Review
Unmanned Aerial Vehicles in Precision Agriculture Sensing Applications
Precision agriculture (PA) is becoming highly significant in today’s technologically advanced world and has been considered as the farm for the future. This is a modern farming management concept using digital techniques to monitor and optimize agricultural production processes by using technological advancement. PA uses modern technology and principles to manage the spatial and temporal variability in all aspects of agricultural production for the goal of improving crop performance. 
  • 1.1K
  • 01 Apr 2022
Topic Review
Smart Grids
The Smart Grid is a modern intelligent network adapted to a new global paradigm. Intelligent systems bring together energy and information and communication technologies, improving performance, quality, generation, transmission, distribution, and marketing services. Regarding the influence of intelligent networks in the transformation of human activities, it is essential to know the resources and systems of sensors, IoT and, in general, the devices that improve people’s quality of life. Today, there is a growing need for society to take care of its health by integrating the use of technology. Human Activity Recognition (HAR) allows monitoring of people’s quality of life and, in time, more features and functionalities emerge in this area, relying on a wide repertoire of hardware and software components. Proof of this is the implementation of several solutions in indoor environments, which capture the data generated from people’s interactions with an intelligent environment. Data collected from heterogeneous sensors implemented in intelligent environments or from sensors connected to the body (wearables) are stored in datasets and the information obtained from intelligent devices is integrated into a larger set, the intelligent network that brings together an environment, a community, a city, and, in general, a joint strategy to improve the quality of technology and life in our society.
  • 1.1K
  • 07 Dec 2020
Topic Review
Electromagnetic Microrobotic Platforms for Biomedical Applications
Magnetic microrobotics is a promising technology for improving minimally invasive surgery (MIS) with the ambition of enhancing patient care and comfort. The potential benefits include limited incisions, less hemorrhaging and postoperative pain, and faster recovery time. To achieve this, a key issue relies on the design of a proper electromagnetic actuation (EMA) setup which is based on the use of magnetic sources. The magnetic field and its gradient generated by the EMA platform is then used to induce magnetic torque and force for microrobot manipulations inside the human body. Like any control systems, the EMA system must be adapted to the given controlled microrobot and customized for the application. 
  • 1.1K
  • 24 Jan 2022
Topic Review
Model Predictive Traffic Control by Bi-Level Optimization
A bi-level model for traffic signal optimization is developed. The model predictive framework is applied for traffic control in an urban traffic network. The potential of the bi-level formalization is used to increase the space of control influences with simultaneous evaluation of the green light and cycle durations. Thus, the increased control space allows more traffic parameters to be considered, such as vehicles queues and traffic flows. A particular modification of the bi-level control is applied for the synchronization of the traffic lights in the network. The model predictive approach is used for the real-time management of the traffic in the network. The control implementations are constrained by the shortest evaluated cycle.
  • 1.0K
  • 11 May 2022
Topic Review
IoT-Based Technologies for Smart Home Automation
IoT-based technologies for home automation are now available for every home. There are ones that can be applied using the existing wired infrastructure (powerline cables or Ethernet), connecting sensors, controllers, and other devices, while others are using wireless technologies.
  • 1.0K
  • 27 Apr 2023
Topic Review
AR for Human–Robot Collaboration/Cooperation in Industrial Applications
Augmented reality (AR): overlays virtual objects on the real-world environment and also provides the ability to interact with that environment. AR is any case in which an otherwise real environment is “augmented” by means of virtual (computer graphic) objects. With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human–robot collaborative and cooperative industrial applications. 
  • 1.0K
  • 12 Apr 2022
Topic Review
Seven Widely Used Open-Source Platforms
Simulation platforms are critical and indispensable tools for application developments of unmanned aerial vehicles (UAVs) because the UAVs are generally costly, have certain requirements for the test environment, and need professional licensed operators. Thus, developers prefer (or have) to test their applications on simulation platforms before implementing them on real machines. Seven widely used open-source simulation platforms, including Webots, Gazebo, CoppeliaSim, ARGoS, MRDS, MORSE, and USARSim.
  • 1.0K
  • 27 Apr 2023
Topic Review
Obstacle Detection Systems of Autonomous Underwater Vehicles
The high efficiency of obstacle detection system (ODS) is essential to obtain the high performance of autonomous underwater vehicles (AUVs) carrying out a mission in a complex underwater environment. ODSs being improved and provide greater detection accuracy that results in better AUV response time. Almost all analysed methods are based on the conventional approach to obstacle detection. In the future, even better ODSs parameters could be achieved by using artificial intelligence (AI) methods. 
  • 1.0K
  • 11 Nov 2022
Topic Review
Human–Machine Interface in Transport Systems
MAN PLATOONING by MAN and DB Schenker is a technical system that turns multiple vehicles into a convoy of trucks
  • 1.0K
  • 04 Mar 2021
Topic Review
Learning for Unmanned Ground Vehicles
The problem of autonomous navigation of a ground vehicle in unstructured environments is both challenging and crucial for the deployment of this type of vehicle in real-world applications. We present a review on the recent contributions in the roboticsliterature adopting learning-based methods to solve the problem of environment perception andinterpretation with the final aim of the autonomous context-aware navigation of ground vehicles inunstructured environments.
  • 978
  • 29 Apr 2021
Topic Review
Drivers for Digital Twin Adoption in Construction Industry
Digital twin (DT) is able to present digital replicas of existing assets, processes and systems. DT can integrate artificial intelligence, machine learning, and data analytics to create real-time simulation models. These models learn and update from multiple data sources to predict their physical counterparts’ current and future conditions. This has promoted its relevance in various industries, including the construction industry (CI). However, recognising the existence of a distinct set of factors driving its adoption has not been established. The drivers were identified through a systematic literature review approach and integrated into a classification framework to enhance its understanding. A conceptual framework was developed to enhance the successful adoption of DT in the CI based on the identified drivers.
  • 973
  • 21 Feb 2022
Topic Review
Edge Computing in Manufacturing Industry
The primary goal of edge computing (EC) is to reduce the time required to transfer large amounts of data. With the ability to analyze data at the edge, it is possible to obtain immediate feedback and use it in the decision-making process. However, the implementation of EC requires investments not only in infrastructure, but also in the development of employee knowledge related to modern computing methods based on artificial intelligence. Future research in EC should particularly cover areas where actions require immediate decision making and the processing of big data, such as autonomous control of robots, vehicles, or entire factories. The second area of research should be technologies related to mobile edge computing, for example, telecommunications and all issues related to 5G technology.
  • 969
  • 11 Apr 2022
Topic Review
Fine-Grained Change Detection
Fine-grained change detection in sensor data is very challenging for artificial intelligence though it is critically important in practice. It is the process of identifying differences in the state of an object or phenomenon where the differences are class-specific and are difficult to generalise. As a result, many recent technologies that leverage big data and deep learning struggle with this task.
  • 967
  • 12 Jul 2021
Topic Review
Machine Learning for Crop Diseases and Pests
Rapid population growth has resulted in an increased demand for agricultural goods. Pests and diseases are major obstacles to achieving this productivity outcome. Therefore, it is very important to develop efficient methods for the automatic detection, identification, and prediction of pests and diseases in agricultural crops. To perform such automation, Machine Learning (ML) techniques can be used to derive knowledge and relationships from the data that is being worked on. 
  • 958
  • 16 Sep 2022
Topic Review
Integrating Cognitive Radio with UAVs
Unmanned Aerial Vehicles (UAVs) demand technologies so they can not only fly autonomously, but also communicate with base stations, flight controllers, computers, devices, or even other UAVs. Still, UAVs usually operate within unlicensed spectrum bands, competing against the increasing number of mobile devices and other wireless networks. Combining UAVs with Cognitive Radio (CR) may increase their general communication performance, thus allowing them to execute missions where the conventional UAVs face limitations. CR provides a smart wireless communication which, instead of using a transmission frequency defined in the hardware, uses software transmission. CR smartly uses free transmission channels and/or chooses them according to application’s requirements. Moreover, CR is considered a key enabler for deploying technologies that require high connectivity, such as Smart Cities, 5G, Internet of Things (IoT), and the Internet of Flying Things (IoFT). 
  • 957
  • 17 Feb 2021
Topic Review
Optimization of Independent Vector Analysis Algorithm
With the advent of the era of big data information, artificial intelligence (AI) methods have become extremely promising and attractive. It has become extremely important to extract useful signals by decomposing various mixed signals through blind source separation (BSS). BSS has been proven to have prominent applications in multichannel audio processing. For multichannel speech signals, independent component analysis (ICA) requires a certain statistical independence of source signals and other conditions to allow blind separation. independent vector analysis (IVA) is an extension of ICA for the simultaneous separation of multiple parallel mixed signals. IVA solves the problem of arrangement ambiguity caused by independent component analysis by exploiting the dependencies between source signal components and plays a crucial role in dealing with the problem of convolutional blind signal separation.
  • 950
  • 02 Feb 2023
Topic Review
Human-like Arm Motion Generation
In the last decade, the objectives outlined by the needs of personal robotics have led to the rise of new biologically-inspired techniques for arm motion planning. This entry presents a literature review of the most recent research on the generation of human-like arm movements in humanoid and manipulation robotic systems. Search methods and inclusion criteria are described. The studies are analyzed taking into consideration the sources of publication, the experimental settings, the type of movements, the technical approach, and the human motor principles that have been used to inspire and assess human-likeness. 
  • 932
  • 28 Sep 2021
Topic Review
Upper-Limb Physical Rehabilitation with Techology
The use of videogames and motion capture systems in physical rehabilitation contributes to the recovery of the patient, for this reason, there is a tendency to continue generating proposals that face the challenges of rehabilitation with technologies that offer precision and care coverage, and that, additionally, integrate elements that promote the motivation and participation of the patient.
  • 924
  • 16 Nov 2020
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