Topic Review
Assessment of Computer Vision-Based Construction Progress Monitoring Process
The progress monitoring (PM) of construction projects is an essential aspect of project control that enables the stakeholders to make timely decisions to ensure successful project delivery, but ongoing practices are largely manual and document-centric. However, the integration of technologically advanced tools into construction practices has shown the potential to automate construction PM (CPM) using real-time data collection, analysis, and visualization for effective and timely decision making. CPM entails periodically measuring the on-site progress and comparing the data with a planned schedule to get the actual status of a construction project. Traditional CPM practices involve manual data collection, which requires human intervention and hence are slow, error-prone, and labor-intensive. To overcome these issues, various automated CPM processes have been proposed. These processes include but are not limited to the use of enhanced information, geospatial, and imaging technologies. The imaging technologies comprise photogrammetry, videogrammetry, laser scanning, and range imaging. Laser scanning is a promising tool for as-built DAQ due to its accuracy; however, it requires expensive equipment, is technically complex, and requires experts to capture, model, and manipulate data for meaningful interpretations. An alternate technique is CV-based technology, which comprises photogrammetry, videogrammetry, and range images. The CV-based CPM comprises four sub-processes: data acquisition (DAQ), information retrieval, progress estimation, and output visualization. Each process involves various methods and techniques to achieve the desired output posing several benefits and limitations.
  • 44
  • 05 Aug 2022
Topic Review
Multi-Mode Process
Multi-mode processing is a central feature of modern industry. The application of monitoring technology to multi-mode processing is crucial to ensure process safety and to enhance product quality.
  • 18
  • 29 Jul 2022
Topic Review
Variable Admittance Control for Human–Robot Interaction
Human–robot interaction (HRI) is a broad research topic, which is defined as understanding, designing, developing, and evaluating the robotic system to be used with or by humans. 
  • 68
  • 26 Jul 2022
Topic Review
Haptic Assistive Driving Systems with Human Operators
With the availability of modern assistive techniques, ambient intelligence, and the Internet of Things (IoT), various innovative assistive environments have been developed, such as driving assistance systems (DAS), where the human driver can be provided with physical and emotional assistance. In this human–machine collaboration system, haptic interaction interfaces are commonly employed because they provide drivers with a more manageable way to interact with other components. From the view of control system theory, this is a typical closed-loop feedback control system with a human in the loop. To make such a system work effectively, both the driving behaviour factors, and the electrical–mechanical components should be considered. However, the main challenge is how to deal with the high degree of uncertainties in human behaviour. 
  • 70
  • 19 Jul 2022
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).
  • 34
  • 18 Jul 2022
Topic Review
Digital Twins in Automotive Industry
A digital twin is a nonphysical model that has been designed in order to accurately reflect an artificial or physical system, where sensors are placed to acquire a variety of data regarding different aspects concerning the performance of the system.
  • 34
  • 13 Jul 2022
Topic Review
Traditional Visual Simultaneous Localization and Mapping
Simultaneous Localization and Mapping (SLAM) was first applied in the field of robotics. Its goal is to build a real-time map of the surrounding environment based on sensor data without any prior knowledge, and at the same time predict its own location based on the map. SLAM has attracted extensive attention from many researchers since it was first proposed in 1986 and is now a necessary capability for autonomous mobile robots.
  • 41
  • 04 Jul 2022
Topic Review
Thermal Comfort Indices Through Room Occupancy Prediction
Room occupancy prediction based on indoor environmental quality may be the breakthrough to ensure energy efficiency and establish an interior ambience tailored to each user. Identifying whether temperature, humidity, lighting, and CO2 levels may be used as efficient predictors of room occupancy accuracy is needed to help designers better utilize the readings and data collected in order to improve interior design, in an effort to better suit users. It also aims to help in energy efficiency and saving in an ever-increasing energy crisis and dangerous levels of climate change.
  • 37
  • 04 Jul 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.
  • 55
  • 24 Jun 2022
Topic Review
Risk Analysis of Engineering Procurement and Construction
The lump sum turn key (LSTK) contract for engineering, procurement, and construction (EPC) projects is a typical contract type used in large-scale and complex plant projects. 
  • 64
  • 21 Jun 2022
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