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Topic Review
Fundamentals of Path-Planning Algorithms
The rapid technological development of computing power and system operations today allows for increasingly advanced algorithm implementation, as well as path planning in real time.
  • 2.0K
  • 12 Aug 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.
  • 1.9K
  • 04 Jul 2022
Topic Review
Alarming Systems for Hazardous Gases and Volatile Chemicals
The leakage of hazardous gases and chemical vapors is considered one of the dangerous accidents that can occur in laboratories, workshops, warehouses, and industrial sites that use or store these substances. The early detection and alarming of hazardous gases and volatile chemicals are significant to keep the safety conditions for the people and life forms who are work in and live around these places.
  • 1.9K
  • 15 Dec 2021
Topic Review
Lower Limb Joint Kinematics
The use of inertial measurement units (IMUs) has gained popularity for the estimation of lower limb kinematics. However, implementations in clinical practice are still lacking. This review shows that methods for lower limb joint kinematics are inherently application dependent. Sensor restrictions are generally compensated with biomechanically inspired assumptions and prior information. Awareness of the possible adaptations in the IMU-based kinematic estimates by incorporating such prior information and assumptions is necessary, before drawing clinical decisions. Future research should focus on alternative validation methods, subject-specific IMU-based biomechanical joint models and disturbed movement patterns in real-world settings.
  • 1.9K
  • 01 Nov 2020
Topic Review
Steganography and Steganalysis in VoIP
The rapid advance and popularization of VoIP (Voice over IP) has also brought security issues. VoIP-based secure voice communication has two sides: first, for legitimate users, the secret voice can be embedded in the carrier and transmitted safely in the channel to prevent privacy leakage and ensure data security; second, for illegal users, the use of VoIP Voice communication hides and transmits illegal information, leading to security incidents. Therefore, in recent years, steganography and steganography analysis based on VoIP have gradually become research hotspots in the field of information security. Steganography and steganalysis based on VoIP can be divided into two categories, depending on where the secret information is embedded: steganography and steganalysis based on voice payload or protocol. The former mainly regards voice payload as the carrier, and steganography or steganalysis is performed with respect to the payload. It can be subdivided into steganography and steganalysis based on FBC (fixed codebook), LPC (linear prediction coefficient), and ACB (adaptive codebook). The latter uses various protocols as the carrier and performs steganography or steganalysis with respect to some fields of the protocol header and the timing of the voice packet. It can be divided into steganography and steganalysis based on the network layer, the transport layer, and the application layer. Recent research results of steganography and steganalysis based on protocol and voice payload are classified in this paper, and the paper also summarizes their characteristics, advantages, and disadvantages. The development direction of future research is analyzed. Therefore, this research can provide good help and guidance for researchers in related fields. 
  • 1.9K
  • 17 Sep 2024
Topic Review
Virtual Coupling in Railways
The mobility situation is constantly changing as people are increasingly moving to urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and a high degree of modularity in the trains’ composition is necessary. Virtual coupling (VC) is a promising solution to this problem because it significantly increases the capacity of a line and provides a more flexible mode of operation than conventional signaling systems.
  • 1.8K
  • 29 May 2023
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.
  • 1.8K
  • 27 Apr 2023
Topic Review
Latency Compensated Visual-Inertial Odometry
In visual-inertial odometry (VIO), inertial measurement unit (IMU) dead reckoning acts as the dynamic model for flight vehicles while camera vision extracts information about the surrounding environment and determines features or points of interest. With these sensors, the most widely used algorithm for estimating vehicle and feature states for VIO is an extended Kalman filter (EKF). The design of the standard EKF does not inherently allow for time offsets between the timestamps of the IMU and vision data. In fact, sensor-related delays that arise in various realistic conditions are at least partially unknown parameters. A lack of compensation for unknown parameters often leads to a serious impact on the accuracy of VIO systems and systems like them. To compensate for the uncertainties of the unknown time delays, this study incorporates parameter estimation into feature initialization and state estimation. Moreover, computing cross-covariance and estimating delays in online temporal calibration correct residual, Jacobian, and covariance. Results from flight dataset testing validate the improved accuracy of VIO employing latency compensated filtering frameworks. The insights and methods proposed here are ultimately useful in any estimation problem (e.g., multi-sensor fusion scenarios) where compensation for partially unknown time delays can enhance performance.
  • 1.8K
  • 29 Apr 2021
Topic Review
Reinforcement Learning in Home Energy Management System
Artificial Intelligence, more specifically machine learning, is one of the key contributing factors that have helped realize Home Energy Management Systems today. Reinforcement Learning is a class of machine learning algorithms that is making deep inroads in various applications in energy management in smart homes. This machine learning paradigm allows an algorithmic entity, called an agent, to make sequences of decisions and implement actions from experience in the same manner as a human being. Reinforcement learning is increasingly being used in various home energy management applications today. This article surveys the application of this learning paradigm in smart home energy management. Applications have been divided into five broad categories, and the reinforcement learning approach applied in each case have been investigated separately, in terms of building types, objective functions, and algorithm classes.
  • 1.8K
  • 14 Sep 2022
Topic Review
RGO-Loaded Metal-Oxide Nanofiber Gas Sensors
Reduced graphene oxide (rGO) is a reduced form of graphene oxide used extensively in gas sensing applications. However, in its pristine form, graphene has some shortages and thus, it is generally utilized in combination with other metal oxides to improve gas sensing capabilities. There are different ways of adding rGO to different metal oxides with various morphologies. This study focuses on rGO-loaded metal oxide nanofiber (NF) synthesized using an electrospinning method. Different amounts of rGO were added to the metal oxide precursors, and after electrospinning, the gas response is enhanced through different sensing mechanisms. 
  • 1.7K
  • 04 Mar 2021
Topic Review
BIM and DfMA
The main goal of this study is to explore the adoption of a design for manufacturing and assembly (DfMA) and building information management (BIM) approach during the whole lifecycle of assets. This approach aims to tackle issues inherent in the design of traditional construction methods, such as low productivity and quality, poor predictability and building performance, and energy use, through the implementation of a BIM library of off-site components. In recent years, a renewed interest has been directed to the attempt to provide solutions to these urgent problems through the adoption of new advancements in technologies. However, while there are studies focussing on a BIM-DfMA approach, there is a lack of research regarding how this approach should be adopted during the whole lifecycle of the assets. Furthermore, to the best of our knowledge, defining an efficient way of developing a component-based BIM object library has not yet been included in any of the available studies. A mixed methodology approach has been used in this research. A conceptual framework was developed as the result of an extensive literature review to investigate new advancements in the AEC sector.
  • 1.7K
  • 30 Aug 2021
Topic Review
Degree of Ambition and Renewable Energy in Shipping
The early strategy outlines various degrees of desire for the international shipping industry, stressing that technical advancement and the international introduction of alternative fuels and/or renewable energies for international shipping will be crucial to achieving the overall aim. Renewable energy can be implemented in shipping in one of two ways: (1) as retrofits for current fleets or (2) as part of new vessel designs. In terms of new ship concepts, most renewable energy technology will deliver electricity for auxiliary and additional uses, regardless of ship size.
  • 1.7K
  • 14 Nov 2022
Topic Review
Microgrids and Networked Microgrids
Microgrids and networked (interconnected) microgrids are emerging in developed countries as an efficient way for integrating distributed energy resources into power distribution systems. Microgrids and networked microgrids can disconnect from the main grid and operate autonomously, strengthen grid resilience, and help mitigate grid disturbances and maintain power quality. In addition, when supported by sophisticated management strategies, microgrids and networked microgrids have the ability to enhance power supply reliability.
  • 1.7K
  • 21 Oct 2022
Topic Review
Available Drinking Water Treatment Technologies
Water is one of the main sources of life’s survival. It is mandatory to have good-quality water, especially for drinking. Many types of available filtration treatment can produce high-quality drinking water. In general, the treatment technologies for treating water depend on the type of raw intake water that comes from various water sources, such as surface water and groundwater. Membrane filtration is an advanced drinking water treatment that is widely used nowadays in water treatment processes, mainly for drinking water. 
  • 1.7K
  • 13 Mar 2023
Topic Review
Conventional Roller Compaction Method
As an empirical control method, the conventional compaction has the characteristics of manual driving, construction site supervision, manual recording, and sampling point detection. Currently, conventional compaction methods can be divided into four types: sampling point detection, prediction and simulation analysis, construction site supervision, and influencing factor analysis. In actual engineering, conventional compaction methods mainly rely on the manual control of compaction parameters (such as the number of compaction times, compaction trajectory, vibration frequency, lift thickness, and driving speed) during construction, as well as the sampling point detection (such as compactness or dry density) of specified locations after construction to ensure compaction quality of earthwork.
  • 1.7K
  • 22 Apr 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
  • 1.6K
  • 04 Mar 2021
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. 
  • 1.6K
  • 21 Jun 2022
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.
  • 1.6K
  • 05 Aug 2022
Topic Review
Mobile Robot Path Planning
One of the most significant processes in the autonomous navigation is path planning. Path planning involves the determination of a possible path for a mobile robot to move from a start to a target location in a particular environment while considering optimization parameters like path distance, time and path smoothness. Mobile robot path planning is a subcategory of trajectory planning.
  • 1.6K
  • 21 Nov 2022
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.
  • 1.6K
  • 02 Feb 2023
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