Real-time Data Transfer Research Articles

Securing Real-Time Data Transfer in Healthcare IoT Environments with Blockchain Technology

The increasing number of Internet of Things (IoT) devices in healthcare applications, particularly during emergencies, necessitates safe protocols for transmitting real-time data. Medical data are essential for healthcare applications, and reliance on IoT devices to control information flow necessitates the consideration of five critical areas. This work addresses the security challenges associated with the transmission and storage of copyrighted healthcare data, as well as the inadequacy of the present methods in facilitating real-time data transfer given the volume of data and network conditions. This research provides a theoretical framework for the secure and immediate offloading of computations in IoT healthcare systems. The objective is to implement secure communication and networking technologies to ensure the security and integrity of medical data, maintain confidentiality, and facilitate real-time transmission of information. The proposed framework is simulated in MATLAB for system model implementation. A blockchain network sandbox was established with the delegated proof-of- stake (DPoS) consensus method, supplemented by proof-of-work (PoW) and proof-of-validation (PoV) for enhanced security. To assess the efficacy of this framework, multiple test scenarios focused on the number of nodes, the volume of data, and the conditions of network connectivity. The results demonstrated the system's efficacy in facilitating the offloading of real-time data in IoT healthcare applications. The aforementioned study demonstrated that the framework exhibited rapid transaction processing, efficient resource use, and energy conservation while also enhancing secure data transmission across various network conditions. The findings confirm that the proposed architecture can effectively and securely transmit real-time data in IoT healthcare applications without jeopardizing data authenticity, privacy, or integrity. The system's ability to address security challenges and manage substantial data volumes under varying settings indicates that it can be effectively deployed in healthcare systems, particularly in critical situations.

Real-Time Acoustic Measurement System for Cutting-Tool Analysis During Stainless Steel Machining

This study presents a sound-based tool-wear monitoring system designed to overcome the limitations of conventional methods that focus solely on gradual and predictable wear patterns. The proposed system employs low-cost, high-frequency microphones and advanced signal processing—featuring analog/digital filtering, oversampling, signal conditioning, PLL-based synchronization, and feature extraction (ZCR, RMS)—to capture acoustic emissions during machining. Key innovations include optimized microphone placement, a custom PCB, and real-time data transfer via WiFi to MATLAB for analysis. Using the TreeBagger machine-learning algorithm, the system accurately predicts tool wear, detecting both gradual and abrupt wear patterns. Tested on EN 1.4307 (AISI/ASTM 304L) stainless steel, the system demonstrated robust performance in real-time tool-condition assessment. Its scalable and cost-effective design allows for the integration of additional sensors and features, providing a non-invasive and adaptive solution to enhance machining efficiency and reduce operational costs.

Performance Analysis of Underwater Radiofrequency Communication in Seawater: An Experimental Study

Communication with the underwater vehicles during their tasks is one of the most important issues. The need for real-time data transfer raises the necessity of developing communication systems. Conventional underwater communication systems, such as acoustic systems, cannot satisfy applications that need a high transmission data rate. In this study, we investigate the radio frequency communication system in seawater, which is crucial for real-time data transfer with underwater vehicles. The experiments were in a water tank full of seawater and a real environment in the ocean. Three types of antennae were used: loop antenna, wire antenna, and helical antenna. An Autonomous Underwater Vehicle (AUV) is used as a transmitter to measure the transmission rate as a function of distance. The helical antenna showed better performance regarding the coverage area. Furthermore, the AUV could move freely within the helical and capture live video streaming successfully. This investigation underscores the potential of radio frequency communication systems for enhancing underwater vehicle operations, offering promising avenues for future research and practical implementation.

Telemedicine technologies in combat settings: efficiency and prospects (literature review)

Relevance. Large-scale military conflicts involving a technically well-equipped peer enemy are associated with a higher risk of delayed evacuation of the wounded which therefore requires extended medical care at advanced medical evacuation stages, especially amid absence or shortage of skillful medical professionals. Telehealth can offer solutions to overcome the difficulties in medical care provision amid combat settings. The objective is to study the prospects and efficiency of telemedicine technologies in enhancing availability of medical care during modern military operations.Methods. The PubMed database and the Scientific Electronic Library (eLIBRARY.ru) were used to collect research papers published from 2014 to 2024 studying the development and implementation of telemedicine technologies to backup combat operations.Results and discussion. Consultations by phone together with transfer of photos and text messaging remain the most common technology to provide telehealth assistance in combat settings. Teleconference connection allowing for two-way audio and video communication involving real-time data transfer is a most promising telecommunication format. Telehealth capacities can be expanded by augmented and mixed reality technologies, AI, drones, or robotic surgery. In combat environments, however, using telemedicine is limited by cybersecurity concerns and the signal bandwidth of modern communications systems. An efficient military telemedicine requires an integral centralized system involving multidisciplinary teams of experienced medical consultants providing round-the-clock emergency and routine telemedicine care to military units, including those engaged in combat operations.Conclusion. In combat settings telemedicine technologies have great untapped potential and can contribute largely in terms of evidence-based decision-making in process of medical triage and evacuation, thus optimizing the distribution of medical capacities and resources and improving the results of injury treatment. Although unfit to replace advanced combat medicine training, telemedicine can reinforce existing capacities by providing specialized medical advice to combat medics.

Theoretical model construction and static performance analysis of multi-leaf journal foil bearings

Abstract Multi-leaf journal foil bearing (MLJFB) structures are complex, making performance prediction challenging, and the accurate prediction of gas film thickness and pressure distributions is crucial. In this study, COMSOL finite-element software was used to establish an initial foil assembly and structural deformation simulation model for an MLJFB with bump foils. Using MATLAB, a compressible gas lubrication model was established and solved using the finite volume method (FVM). Real-time data transfer between COMSOL and MATLAB enabled a fully coupled fluid-structure interaction simulation. This model meticulously accounts for the pre-tension force in the multi-leaf bearing assembly, contact friction between adjacent foils, and the interaction between the top foil and gas film pressure. The effects of journal movement distance, direction, and top foil overlapping ratio on the bearing capacity as well as the effects of different external load directions on the journal equilibrium position were analyzed based on this model. The results indicate that increasing the top foil overlapping ratio enhances the bearing capacity of the MLJFB. Furthermore, compared to the direction of the top foil overlap position, external loads applied in the direction of the top foil midpoint are more beneficial for bearing operational stability.

Monitoring The Effort Curve In Physical Education For Normal And Overweight Students Using Smartwatches And Mobile Applications

Study purpose. In physical education and sports lessons, correctly dosing effort is essential for optimising physical performance and adapting effort parameters, including breaks, in line with physiological principles. The study hypothesises that using smart-watches and mobile apps to monitor effort in middle school physical education lessons will reveal significant differences in effort and heart rate between overweight and average BMI students. Modern technology is expected to enhance understanding of students' physical exertion, facilitating adjustments to programs based on health status and fitness level. Material and method. The study involved 45 students (average age 13.5 years) using 15 Xiaomi 8 smart-watches, phones, Wi-Fi, the Mi Fit app, and other devices to analyse body composition. Data on heart rate and BMI were collected during lessons, which followed the same theme and effort dosage. The Mi Fit app provided detailed aerobic and anaerobic exertion analyses. Parental consent was obtained, and data collection was done under routine lesson conditions. The technology aimed to improve performance and customise programs, offering a personalised approach to physical education. Real-time data transfer enabled accurate analysis of physical effort, promoting healthier lifestyles and better lesson adaptation by teachers. Results. A significant interaction between heart rate and BMI steps (p < 0.01) shows different cardiovascular adaptations to exercise based on BMI. MANOVA confirmed the significant impact of these variables on heart rate, and post hoc comparisons showed differences between weight categories, except between overweight and extremely obese groups. These results highlight the need to tailor physical education programs to BMI categories to optimise cardiovascular health and performance. Conclusion. Results suggest that monitoring the effort curve using modern technologies, such as smart-watches and mobile apps, provides valuable information for adjusting and optimising physical education lessons, especially for overweight and obese students.

Improving preparation in the emergency trauma room: the development and impact of real-time data transfer and dashboard visualization system.

This study examines, with clinical end users, the features of a visualization system in transmitting real-time patient data from the ambulance to the emergency trauma room (ETR) to determine if the real-time data provides the basis for more informed and timely interventions in the ETR before and after patient arrival. We conducted a qualitative in-depth interview study with 32 physicians in six German and Swiss hospitals. A visualization system was developed as prototype to display the transfer of patient data, and it serves as a basis for evaluation by the participating physicians. The prototype demonstrated the potential benefits of improving workflow within the ETR by providing critical patient information in real-time. Physicians highlighted the importance of features such as the ABCDE scheme and vital signs that directly impact patient care. Configurable and mobile versions of the prototype were suggested to meet the specific needs of each clinic or specialist, allowing for the transfer of only essential information. The results highlight on the one hand the potential need for adaptable interfaces in medical communication technologies that balance efficiency with minimizing additional workload for emergency medical services and show that the use of pre-notification systems in communication between ambulance and hospital can be supportive. Further research is recommended to assess practical application and support in clinical practice, including a re-evaluation of the enhanced prototype by professionals.

Evaluation of technical approaches for real-time data transfer from electronic health record systems

Background and ObjectiveReal-time data (RTD) are data that are delivered immediately after creation. The key feature of RTD is low delivery latency. Information systems in health care are extremely time-sensitive and their building block is the electronic health record (EHR). Real-time data from EHRs play an important role to support decision-making, analytics and coordination of care. This is well mentioned in the literature, but the process has not yet been described, providing reference implementations and testing. Real-time data delivery can technically be achieved using several methods. The objective of this work is to evaluate the performance of different transfer methods of RTD from EHRs by measuring delivery latency. MethodsIn our work we used four approaches to transfer RTD from EHRs: REST hooks, WebSocket notifications, reverse proxy and database triggers. We deployed a Fast Health Interoperability Resources (FHIR) server as it is one of the most widely used EHR standard. For the reference implementations we used Python and Golang. Delivery latency was selected as performance metric, derived by subtracting the timestamp of the EHR resource creation from the timestamp of the EHR resource receipt in millisecond. The data was analyzed using descriptive statistics, cumulative distribution function (CDF), Kruskal-Wallis and post-hoc tests. ResultsThe database trigger approach had the best mean delivery latency 13.52±5.56 ms, followed by the reverse proxy 14.43±4.58 ms, REST hooks 19.26±5.76 ms and WebSocket 27.32±9.44 ms. The reverse proxy showed a tighter range of the values and lower variability. There were significant differences in the latencies between all pairs of approaches, except for reverse proxy and database trigger. ConclusionReal-time data transfer is vital for the development of robust and innovative healthcare applications. Properties of current EHR systems as a data source predefine the approaches for transfer. In our work for the first time the performance of RTD transfer from the EHRs with reference implementations is measured and evaluated. We found that database triggers achieve lowest delivery latency. Reverse proxy performed slightly slower, but offered more stability, followed by REST hooks and WebSocket notifications.

Comparative Analysis of Classification Methods and Suitable Datasets for Protocol Recognition in Operational Technologies

The interconnection of Operational Technology (OT) and Information Technology (IT) has created new opportunities for remote management, data storage in the cloud, real-time data transfer over long distances, or integration between different OT and IT networks. OT networks require increased attention due to the convergence of IT and OT, mainly due to the increased risk of cyber-attacks targeting these networks. This paper focuses on the analysis of different methods and data processing for protocol recognition and traffic classification in the context of OT specifics. Therefore, this paper summarizes the methods used to classify network traffic, analyzes the methods used to recognize and identify the protocol used in the industrial network, and describes machine learning methods to recognize industrial protocols. The output of this work is a comparative analysis of approaches specifically for protocol recognition and traffic classification in OT networks. In addition, publicly available datasets are compared in relation to their applicability for industrial protocol recognition. Research challenges are also identified, highlighting the lack of relevant datasets and defining directions for further research in the area of protocol recognition and classification in OT environments.

Continuous heart monitoring in patients with pulmonary hypertension smartwatches and direct transmission to their electronic health records: A trial design.

BackgroundPulmonary hypertension is a progressive disease for which early treatment interventions are essential. Traditionally, patients undergo periodic clinical assessments. However, recent advances in wearable technology could improve the quality and efficiency of follow-up monitoring in patients with pulmonary hypertension. Trial designTo our knowledge, this is the first study describing direct data transmission from a smartwatch to patients' electronic health records. It implements a novel update and customised program to continuously and automatically transmit data from a smartwatch to the patient's electronic healthcare records. It will evaluate continuous monitoring in patients with pulmonary hypertension and monitor their physical activity time, heart rate variability, and heart rate at rest and during physical activity via a smartwatch. It will also evaluate the data transmission method, and its data will be assessed by the treating physicians supplemental to clinical practice.Smartwatch integration promises numerous advantages: comprehensive cardiovascular monitoring and improved patient experience. Our continuous smartwatch monitoring approach offers a solution for earlier detection of clinical worsening and could be included as a combined endpoint in future clinical trials. It could improve patient empowerment, enhance precision medicine, and reduce hospitalisations. The user-friendly smartwatch is designed to minimise disruption in daily life. ConclusionThe ability to transfer real-time data from wearable devices to electronic health records could help to transform the treatment of patients with pulmonary hypertension and their follow-up monitoring outside a clinical setting, enhancing the efficiency of healthcare delivery.

Dynamic Data Advertising and Packet Loss Analysis Using BLE Legacy Advertising

Bluetooth Low energy (BLE) advertisements have great potential in Internet of Things applications like monitoring systems, which involve the real-time transfer of data collected from sensors interfaced to multiple power-constrained devices. Since sensor data conveys information about the present state of the system, packet loss is vital in such applications. The paper proposes a customized BLE legacy advertising packet structure to advertise dynamic sensor data, and proposes two techniques: One-Set-Multiple-Events (OSME) and One-Set-X-Events (OSXE), to advertise the dynamic sensor data using the non-connectable and non-scannable undirected advertising mode of BLE. Using appropriate advertising parameters with OSXE, each advertising packet gets successfully advertised <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$X$</tex-math></inline-formula> times, whereas OSME neither guarantees successful advertisement of all the packets, nor does it allow control over the number of transmitted copies of each packet. Using OSXE, experimental analysis is carried out to study packet loss when single BLE node transmits alone, and when 25 nodes transmit simultaneously. Mathematical analysis has been carried out for packet collision for multiple nodes. Experimental results show that packet loss is also impacted by factors like advertising set duration, scan window, scanner's link layer activities like advertising report generation and channel switching. Using OSXE, packet loss close to 0% is obtained for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$X=3$</tex-math></inline-formula> when 25 nodes advertise simultaneously.

Digital Twin Framework for Built Environment: A Review of Key Enablers

The emergence of Digital Twin (DT) technology presents unique opportunities for society by facilitating real-time data transfer from the physical environment to its digital counterpart. Although progress has been made in various industry sectors such as aerospace, the Architecture, Engineering, Construction, and Operation (AECO) sector still requires further advancements, like the adoption of these technologies over traditional approaches. The use of these technologies should become standard practice rather than an advanced operation. This paper aims to address the existing gap by presenting a comprehensive framework that integrates technologies and concepts derived from purpose-driven case studies and research studies across different industries. The framework is designed to provide best practices for the AECO sector. Moreover, it aims to underscores the potential of DT for optimization through overseeing and digital management of the built environment across the entire life cycle of facilities, encompassing design, construction, operation, and maintenance. It is based on an extensive literature review and presents a holistic approach to outlining the roles of Building Information Modelling (BIM), Geographic Information Systems (GIS), Internet of Things (IoT), and other key enablers within the DT environment. These digital tools facilitating the simultaneous evaluation of associated benefits, such as resource savings and future prospects, like monitoring project sustainability objectives.

Robust security model utilizing 4D hyper-digital chaotic sequence for joint-polar coding and SCMA scheme-based IoT applications

The rapid growth of Internet of Things (IoT) devices, driven by the emergence of 5G technology, necessitates faster and more secure connections for real-time data transfer. To address this, a combined approach called JPC-SCMA, which involves integrating Polar Code (PC) with sparse code multiple access (SCMA), is proposed to ensure efficient and reliable communication while minimizing errors. PC enhance hardware efficiency and throughput in 5G networks, serving as effective channel coding. SCMA enables users to decode shared resource communications, but this method introduces security concerns, especially for untrusted users. This study introduces a novel security technique for JPC-SCMA in IoT systems. It employs lightweight cipher-based security methods and a 4D-hyperdigital chaotic key generator to create necessary key sets. Simulation results confirm the effectiveness of the proposed secure system, achieving zero Bit Error Rate (BER) at SNR = 9 with a small SNR penalty (1.5 dB at 10−4 BER) compared to the less secure system. The security model generates a robust key space (∼10220 bits), thwarting exhaustive attacks. Model efficiency is validated through metrics such as Entropy, Similarity, correlation, Number of Pixel Changes Rate, and stands for Unified Average Change Intensity, especially when transmitting multiple digital images.

A Probabilistic and Distributed Validation Framework Based on Blockchain for Artificial Intelligence of Things

Artificial Intelligence of Things (AIoT) applications have advanced rapidly. However, most of them are inherently vulnerable to security threats and may be the source of spoofing attacks, and meanwhile, in AIoT systems, the transfer of real-time data from terminals and the cloud strains network bandwidth. To defend against attacks, save network forwarding resources, and relieve authentication pressure on the receiver end, it is essential to verify source identity of AIoT terminals on the forwarding path. In this paper, we propose PDIV, a probabilistic and distributed identity validation solution for AIoT applications. In the framework of PDIV, honest forwarders can verify the authenticity of the source identity of packets with a certain probability and filter spoofed packets to prevent them from spreading, reduce end-to-end network latency, and increase throughput as much as possible. Additionally, PDIV, a blockchain-based system that uses Merkle Patricia Trie (MPT) on the blockchain, makes it practical and efficient to realize distributed storage and verification of identity information. Moreover, we theorize about the trade-off between PDIV network performance and detection effectiveness, as well as how PDIV enables defenses against different attacks like spoofing and DDoS attacks. Furthermore, we implement PDIV on Network Simulator Version 3 (NS3) and evaluate its performance. The simulation results demonstrate that PDIV can prevent the spread of spoofed packets effectively and PDIV works better than currently available blockchain-based public key infrastructure (PKI) approaches in terms of network latency.

Communication between two distinct digital counterparts of a robotic cell digital twin via MQTT

Real-time communication is one of the essential features of the digital twin technology that allows real-time data transfer between digital and physical counterparts. This study provides an example of a use case that describes a communication link using the MQTT messaging architecture between two digital counterparts of a digital twin of a robotic cell. It explains how to construct several unique digital counterparts of a digital twin and how to establish communication between them and their physical counterpart. It also demonstrates how this communication makes it possible to conveniently conduct several optimization-related experiments and analyze robotic work cells in digital space. It is discussed that one digital counterpart serves a particular purpose, whereas the other serves a different kind of purpose. Additionally, the research’s shortcomings and future directions have been highlighted.

NFT based Digital Twins for Tracing Value Added Creation in Manufacturing Supply Chains

The globalization of products and markets increases the distance between the origin of products and consumers. This leads to a condition where customers don't have information about the origins of their products. Thus, traceability has become an essential sub-system of manufacturing supply chain management. However, due to globalization and complexity of supply chain interactions among the suppliers and manufacturing enterprises, it is hard to pinpoint the exact contributions of different actors in a supply chain. Integrated supply network structure with suitable visibility and usage of real time data transfer is another area of great importance. This paper focuses on how NFT (Non-Fungible Token) coupled with smart contracts could utilize blockchain to make it easier to track the products in a supply chain. Explaining how NFT's could help in tracking the contributions of different stakeholders in a supply chain by tracking the product throughout the entire process of sourcing, production, and sale by using a digital twin. In a manufacturing supply chain enabled by NFT Technology, whenever raw materials are transferred and processed through the supply chain, an NFT would be attached to its digital twin which will capture the created values. Each NFT can easily and uniquely be known by its data stored. Data would be updated based on real time information and will enable the stakeholders to trace the product information about how much each company has contributed to the produced products. The data stored in the form of a smart contract in the blockchain prevents the data being entered from being destroyed, eliminated, or changed without permission. Thus, there is a secure data flow among different stakeholders.

IoT Based Food Freshness Detection by Using Python

Abstract: In the contemporary landscape of interconnected devices and the Internet of Things (IoT), the pursuit of sustainable practices has led to innovative solutions in diverse domains. This project introduces an IoT-based system for food freshness detection, leveraging the capabilities of the Python programming language. The primary objective is to design a versatile and accessible platform that monitors the freshness of perishable goods in real-time, contributing to reduced food wastage and enhanced consumer awareness. The project centers around the integration of sensors, particularly gas sensors, with a Raspberry Pi microcontroller. These sensors capture volatile compounds emitted during the degradation of food items, providing crucial data for freshness assessment. The Python programming language is employed to orchestrate sensor data processing, implement intelligent freshness determination logic, and facilitate communication with IoT platforms. Key components of the project include the establishment of MQTT communication for real-time data transfer, integration with cloud platforms (such as AWS IoT or ThingSpeak) for data storage and visualization, and the optional development of a user interface for remote monitoring. Through rigorous testing and calibration, the system aims to achieve a reliable and accurate assessment of food freshness across diverse environmental conditions. The anticipated outcomes include a functional and scalable IoT-based food freshness detection system. By providing users with real-time insights into the condition of perishable goods, the project strives to empower consumers to make informed decisions, reduce food wastage, and contribute to sustainable food management practices

Design and Implementation of an Embedded Data Acquisition System for Vehicle Vertical Dynamics Analysis

With the expansion of electronics in recent decades, it is notorious to observe that embedded systems are increasingly necessary to improve people’s quality of life and to facilitate the diagnosis of systems in general, ranging from pacemakers to control systems. The increased use of electronic components for technological support, such as telemetry systems, electronic injection, and automotive diagnostic scanners, enhances the perspective of data analysis through an embedded system aimed at vehicular systems. Thus, this work aims to design and implement an embedded data acquisition system for the analysis of vehicle vertical dynamics. The methodology for this study was structured into several stages: mathematical modeling of a motorcycle’s mass-spring-damper system, coding for the Arduino microcontroller, computational data analysis supported by MATLAB software version 9.6, electronic prototyping of the embedded system, implementation on the vehicle, and the analysis of motorcycle vertical dynamics parameters. In addition, a mathematical modeling of the mass-spring-damper system was performed using the state-space method. The system was implemented on the Arduino microcontroller platform, enabling real-time data transfer from a motorcycle. The experimental results have successfully validated the proposed data acquisition system.

Taxonomy and Survey of Current 3D Photorealistic Human Body Modelling and Reconstruction Techniques for Holographic-Type Communication

The continuous evolution of video technologies is now primarily focused on enhancing 3D video paradigms and consistently improving their quality, realism, and level of immersion. Both the research community and the industry work towards improving 3D content representation, compression, and transmission. Their collective efforts culminate in the striving for real-time transfer of volumetric data between distant locations, laying the foundation for holographic-type communication (HTC). However, to truly enable a realistic holographic experience, the 3D representation of the HTC participants must accurately convey the real individuals’ appearance, emotions, and interactions by creating authentic and animatable 3D human models. In this regard, our paper aims to examine the most recent and widely acknowledged works in the realm of 3D human body modelling and reconstruction. In addition, we provide insights into the datasets and the 3D parametric body models utilized by the examined approaches, along with the employed evaluation metrics. Our contribution involves organizing the examined techniques, making comparisons based on various criteria, and creating a taxonomy rooted in the nature of the input data. Furthermore, we discuss the assessed approaches concerning different indicators and HTC.

LTE/LTE-A Based Advanced Wireless Networks

LTE/LTE-A is a wireless broadband standard that provides quick and reliable connectivity for the Internet of Things (IoT) and other connected devices. It is the de facto standard for 4G wireless, offering high-speed communication, extensive network coverage, and low latency. LTE/LTE-A networks are crucial for real-time IoT applications, offering high-speed data transfer, extensive coverage, low latency, and scalability. However, challenges in evaluating LTE/LTE-A-based wireless networks for IoT include compatibility, cost, power consumption, network coverage, and security. Large-scale deployments are hindered by cost, power usage, real-time data transfer, security vulnerabilities, and interoperability. Network performance may be impacted by high data traffic levels, expensive setup and maintenance, and interference from other wireless devices. LTE/LTE-A networks are complex and require sophisticated network technologies and protocols, making them difficult for some IoT stakeholders to build and administer.