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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. 
  • 1.3K
  • 16 Sep 2022
Topic Review
Modeling and Control of Isolated DC–DC Converters
Bidirectional DC–DC converters are frequently chosen for applications requiring high power density such as in bidirectional electric vehicle (EV) chargers. Vehicle to Everything (V2X) technology makes the EV battery an electrical energy source. 
  • 1.3K
  • 26 May 2023
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.
  • 1.3K
  • 12 Jul 2021
Topic Review
Solar Photovoltaic Tracking Systems
Maximum solar power can be generated only when the Sun is perpendicular to the solar panel, which can be achieved only for a few hours when using a fixed solar panel system, hence the development of an automatic solar tracking system. Over the years, different solar tracking systems have been proposed and developed.
  • 1.3K
  • 26 Apr 2023
Topic Review
Intelligent Manufacturing Planning System Using Dispatch Rules
Specifically, a number of jobs were sorted together based on the material used and then consolidated for subsequent processes, i.e., assigned to the corresponding machines. To achieve the optimal sorting for the received orders, a combinatorial dispatch rule was proposed, which were Earliest Due Date (EDD), First In First Out (FIFO), and Shortest Processing Time (SPT).
  • 1.3K
  • 18 Jul 2022
Topic Review
Failure Diagnosis Method for Hydraulic Pump
To implement Prognostics Health Management (PHM) for hydraulic pumps, it is very important to study the faults of hydraulic pumps to ensure the stability and reliability of the whole life cycle. Hydraulic systems are applied to all crucial mechanical equipment and play an irreplaceable role in the field of industrial production and manufacturing. As the “heart” of the hydraulic system, the hydraulic pump is responsible for converting mechanical energy into hydraulic energy and providing pressure oil for the system.
  • 1.3K
  • 29 Dec 2022
Topic Review
Human-Hand-like Grippers
Robotics has gained substantial popularity and holds the potential to facilitate a myriad of remarkable tasks. Manipulation, which plays a pivotal role in the realm of robotics, constitutes an emerging and intricate field. In contemporary times, several materials, actuators, and fabrication techniques have been employed to develop grippers. 
  • 1.2K
  • 04 Dec 2023
Topic Review
Selecting Suitable Battery Technologies for Untethered Robots
Energy storage is one of the major barriers to achieve long-duration autonomy in robots. This entry evaluates the capabilities of relevant battery technologies, taking into consideration the requirements of different applications in robotics. We also discuss additional technologies that can be used to overcome the inherent limitations of the most common battery chemistries.
  • 1.2K
  • 10 Jul 2023
Topic Review
Smart Factory
In the manufacturing sector, industrial, academic, and research entities have been making joint efforts to move beyond process automation and help the industry build intelligent factories that autonomously recognize and control the work situation by incorporating technologies such as artificial intelligence (AI), cloud, big data, and 5G with existing manufacturing processes. 
  • 1.2K
  • 18 Oct 2023
Topic Review
Vision-Based Fall Detection Systems
Vision-based fall detection systems have experienced fast development over the last years. To determine the course of its evolution and help new researchers, the main audience of this paper, a comprehensive revision of all published articles in the main scientific databases regarding this area during the last five years has been made. After a selection process, detailed in the Materials and Methods Section, eighty-one systems were thoroughly reviewed. Their characterization and classification techniques were analyzed and categorized. Their performance data were also studied, and comparisons were made to determine which classifying methods best work in this field. The evolution of artificial vision technology, very positively influenced by the incorporation of artificial neural networks, has allowed fall characterization to become more resistant to noise resultant from illumination phenomena or occlusion. The classification has also taken advantage of these networks, and the field starts using robots to make these systems mobile. However, datasets used to train them lack real-world data, raising doubts about their performances facing real elderly falls. In addition, there is no evidence of strong connections between the elderly and the communities of researchers.
  • 1.2K
  • 17 Feb 2021
Topic Review
Drone-Integrated Geographic Information System Technology
Drones, also known as unmanned aerial vehicles (UAVs), have gained numerous applications due to their low cost, ease of use, vertical takeover and landing, and ability to operate in high-risk or hard-to-reach areas. Geographic Information System (GIS) refers to a field of science that involves the study of the lands, features, inhabitants, and phenomena of the Earth. GIS is a comprehensive framework that includes the processes of acquiring, retaining, modifying, examining, and presenting geographical data in an effective and streamlined way.
  • 1.2K
  • 23 Oct 2023
Topic Review
Fault Tolerant Techniques in USNs
Sensor networks provide services to a broad range of applications ranging from intelligence service surveillance to weather forecasting. While most of the sensor networks are terrestrial, Underwater Sensor Networks (USN) are an emerging area. One of the unavoidable and increasing challenges for modern USN technology is tolerating faults, i.e., accepting that hardware is imperfect, and coping with it. Fault Tolerance tends to have more impact in underwater than in terrestrial environment as the latter is generally more forgiving. Moreover, reaching the malfunctioning devices for replacement and maintenance under water is harder and more costly.
  • 1.2K
  • 17 May 2021
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.
  • 1.2K
  • 11 Apr 2022
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. 
  • 1.2K
  • 28 Sep 2021
Topic Review
Deep Learning Models to Predict Prosthetic Ankle Torque
Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached to the body. A practical alternative must be developed to provide biomechanical information to high-bandwidth prosthesis control systems to enable predictive controllers.
  • 1.2K
  • 25 Sep 2023
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). 
  • 1.2K
  • 17 Feb 2021
Topic Review
Smart Grid
Traditional power grid models are based on a central system for generating and distributing energy and have undergone significant changes in recent years. The integration of the latest generation of technologies, rare in critical infrastructure such as the Internet of Things (IoT), has facilitated the evolution to a more dynamic and connected power grid model now known as the Smart Grid (SG). SG’s contributions result from introducing a mutual flow of information between manufacturers and customers, from which both can benefit. This flow enables fine-grained consumption measurements reported to each energy service provider in near real-time to provide consumers with up-to-date price data or control a utility that contains the grid’s energy load in real-time according to actual demand, allowing utilities to perform accurate demand response procedures by anticipating high demand peaks, avoiding and mitigating power outages, and distributing the load on available generators. On the other hand, consumers can take part in programs that reduce electricity consumption in the event of rising energy prices while using home-generated (renewable) electricity (such as the so-called microgrid).
  • 1.2K
  • 17 Apr 2024
Topic Review
Underlying Factors and Strategies for Organizational BIM Capabilities
Building information modeling (BIM) has a significant role in the architecture, engineering, construction, and operation (AECO) industries. Most BIM benefits have not been grasped due to the lack of organizational BIM capabilities (OBIMCs). Accordingly, organizations must develop intuitive strategies to support BIM implementation and to fulfill the promised benefits.
  • 1.2K
  • 14 Nov 2022
Topic Review
Smart-Guided Pedestrian Emergency Evacuation
Rapid exploitation of city underground space has led to the development of increasingly more underground slender-shape infrastructure like pedestrian tunnels, concourses, subway walkways, underground shopping streets, etc. Pedestrian evacuation in those public places in case of emergency can be disastrous if not properly guided. Therefore, it is important to understand how to enhance the evacuation efficiency through proper active guidance. In this study, we propose a digital twin based guiding system for pedestrian emergency evacuation inside a slender-shape infrastructure, aiming at enhancing the overall evacuation efficiency. Composition and calibration process of the guiding system are described, and a cellular automata based model is established to serve as the digital twin model. Two guidance strategies, namely traditional fixed guidance and smart guidance, are adopted by the digital twin to generate guidance instructions. A smart guidance strategy using a semi-empirical approach is proposed based on the understanding of the free movement and congested movement of pedestrian flow. Systems under different guiding strategies are compared and discussed over their effectiveness to promote excavation efficiency in different pedestrian population distribution settings. The simulation results show that a system under smart guidance tends to have shorter evacuation time (up to 23.8% time saving) and performs with more stability for pedestrian evacuations over the traditional fixed guided systems. The study provides insight for potential real applications of a similar kind.
  • 1.2K
  • 09 Dec 2020
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.
  • 1.2K
  • 21 Feb 2022
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