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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. 
  • 994
  • 17 Sep 2024
Topic Review
Adaptive Long-Term Wi-Fi Fingerprint-Based Indoor Localization
This research delves into the challenges of Wi-Fi fingerprint-based indoor localization in dynamic environments, addressing the evolving nature of signal patterns and feature spaces over time. The study focuses on improving adaptive long-term localization accuracy by examining temporal variations in signal strength across 25 months. The research employs key methodologies such as mean-based feature selection, principal component analysis (PCA), and functional discriminant analysis (FDA) to examine signal features and address multicollinearity. The paper introduces an innovative algorithm, Ada-LT IP, which integrates data reduction and transfer learning techniques to enhance accuracy. The proposed method effectively mitigates signal fluctuations and reduces computational complexity, resulting in superior performance compared to current state-of-the-art approaches, as measured by mean absolute error. This research provides critical insights into enhancing adaptive long-term Wi-Fi indoor localization systems, paving the way for more reliable applications in real-world settings.
  • 42
  • 05 Sep 2024
Biography
Shaker Qaidi
Shaker Qaidi serves as:(i) Researcher: With an H-index exceeding 44 in Civil Engineering/Construction Materials, he has authored 50 valuable research papers, collectively garnering over 4,000 citations in high-impact factor journals.(ii) Reviewer: He has lent his expertise to the peer-review process, critically evaluating more than 250 manuscripts for over 90 high-impact factor journals verified i
  • 60
  • 31 Aug 2024
Topic Review
Evolution of Flexible Sensors in Medical Applications
This article explores the development and significance of flexible capacitive pressure sensors (CPS) in medical applications. It begins by tracing the historical origins of capacitive sensing and highlights the recent advancements that have made flexible CPS a vital technology in the healthcare industry. The article delves into key applications of CPS, such as wearable health monitors, artificial skin for prosthetics, minimally invasive medical devices, and implantable cardiac monitors. Through various case studies, it illustrates how these sensors enhance patient care by offering continuous, accurate, and non-invasive monitoring. The article concludes by discussing the challenges and future potential of CPS in revolutionizing medical technology.
  • 81
  • 26 Aug 2024
Topic Review Peer Reviewed
A Process Synthesis and Intensification Framework
This Process Synthesis and Intensification (PS+I) framework uses a low-aggregation superstructure to solve the synthesis problem, and its solution is interpreted and translated into a task-integrated intensified process. Then, the process is post-optimized to find a better balance between operation and equipment costs. The solution leads to novel and counterintuitive intensified processes with low cost and energy requirements.
  • 811
  • 24 Jul 2024
Topic Review
Transforming Aerospace: The Advantages of Automation
The aerospace industry is one of the most complex and demanding sectors, requiring precision, reliability, and efficiency. Automation has emerged as a game-changer, transforming how aerospace components are manufactured, assembled, and maintained. This article explores the advantages of automation in the aerospace industry and how it is revolutionizing the sector.
  • 125
  • 19 Jul 2024
Topic Review Peer Reviewed
Japanese Prefabricated Housing Manufacturers
Japanese prefabricated housing manufacturers have gained international recognition for their innovative approaches to the whole design process, ranging from initial design to innovative cutting-edge technologies, state-of-the-art automated production lines, meticulous workmanship, and mass customisation. In this entry, three manufacturers (Daiwa House, Sekisui House, and Misawa Homes) were selected as case studies for close examination. By studying these leading companies, researchers and industry professionals can gain valuable insights into best practices, challenges, and innovations within the Japanese prefabricated housing sector. The research methods involved a desktop study of available information on websites, articles, and reports, as well as undertaking two study tours on residential sustainable design in Japan in 2022 and 2023. These three manufacturers were discussed and compared with respect to their development trajectories, design customisation, research capabilities and technological advancements, sustainable initiatives and procurement, as well as their after-sale services. They have demonstrated their adaptability and flexibility in response to natural disasters and the transformation of the needs in society. They are all keen on reducing the environmental impacts of their work towards zero carbon emissions and a sustainable future.
  • 911
  • 12 Jul 2024
Topic Review
Classification of Micro-Flame Behaviours
The microflame is a complex phenomenon that can exhibit different behaviors, which are influenced by multiple factors, such as the input velocity of the fuel–oxidizer mixture, the heat flow rate supplied to the mixture, the thermal conduction coefficient of the burner walls (i.e., boundary conditions), and the burner geometry, among others.   
  • 119
  • 11 Jul 2024
Topic Review
BIM in Integrating Digital Twin in Building Construction
Construction is essential to every economy since it employs many workers and significantly contributes to GDP. The construction industry’s efficiency has lagged behind other industries for decades due to low productivity, a lack of research, and poor adoption of advancements. Fortunately, the successful development of digital technologies such as Digital Twin (DT) has facilitated growth in many sectors, and DT has the potential to address challenges in building construction projects. While DT is a virtual replica that provides real-time data and analysis of a physical asset to optimize its performance, Building Information Modeling (BIM) is a collaborative process for creating, managing, and exchanging information throughout a construction project. BIM is the most efficient way to create an accurate, high-value DT and support industry transformation.
  • 85
  • 10 Jul 2024
Topic Review
Forecasting Traits: Human Personality Prediction with Machine Learning
In today's data-driven world, machine learning applications have permeated various aspects of our daily lives, presenting innovative solutions to complex problems. One such significant application lies in the realm of personality prediction, where individuals are classified based on their unique personality traits 
  • 99
  • 08 Jul 2024
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