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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.
  • 1.1K
  • 22 Apr 2022
Topic Review
Smart Street Light Control
A smart streetlight (SSL) is defined as a LED-equipped lighting system that can monitor and control lighting based on environmental conditions. It is part of a network-based system, capable of sending and receiving data, and features sensors and actuators for various functions like traffic and light sensing, environmental monitoring, and more.
  • 1.1K
  • 07 Nov 2023
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.
  • 1.1K
  • 30 Aug 2021
Topic Review
Transformers Health
Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. A group of authors from University of Hawaii at Manoa and University of Palermo have reviewed the literature in the area, analyzed the latest techniques as well as highlighted the advantages and disadvantages of current methodologies. This gives the other researchers an overview of the development process of distribution transformer condition assessment technologies, thereby continuing to develop new effective evaluation techniques.
  • 1.0K
  • 24 Nov 2020
Topic Review
Deep Learning Defect Detection Methods for Industrial Products
Deep learning models based on convolutional neural networks (CNN) have had a lot of success in various computer vision fields, such as recognizing faces, identifying pedestrians, detecting text in images, and tracking targets. Additionally, these models are used in a wide range of industrial settings for defect detection.
  • 1.0K
  • 21 Feb 2023
Topic Review
Machine Learning in Agriculture
Big Data and ML have appeared as high-performance informatics technologies for creating new opportunities to unravel, quantify and understand data-intensive processes in the environment of farm operations
  • 1.0K
  • 11 Mar 2021
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. 
  • 1.0K
  • 17 Sep 2024
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.
  • 980
  • 21 Nov 2022
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.
  • 977
  • 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. 
  • 966
  • 04 Mar 2021
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