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In response to yesterday’s news around new U.S. legislation being put forth by SEMI to support our domestic electronics supply chain–The SEMI Investment Act, or the Strengthening Essential Manufacturing and Industrial Act– I reached out to IPC’s Richard Capetto, chief lobbyist and a principal member of IPCs Global Relations and Advocacy team.
RF GaN Market size was USD 1 27 Bn in 2023 and is expected to reach USD 4 61 Bn by 2030 at a CAGR of 20 2 during the forecast period The RF Gallium Nitride GaN market is witnessing ...
Explore the advantages of Inverters for businesses. Discover how the GT Series provides reliable energy solutions and high ROI.
The GaN power device market is propelled by rise in demand for energy efficient solutions in various applications including electric vehicles and renewable energy systems However high manufacturing costs and technical complexities pose challenges for the widespread adoption of GaN ...
Fusion technology traction inverters combine silicon and SiC power switches to balance efficiency, cost, and sustainability.The post Automotive Power Module Market Innovations Advance E-Mobility appeared first on Power Electronics News.
Diese Zertifizierung durch das Bundesamt für Sicherheit in der Informationstechnik (BSI) erweitert die globale Sicherheit von Check Points Sicherheitsplattform und unterstützt den vertrauenswürdigen Einsatz in Umgebungen mit hohem Sicherheitsstandard in mehr als 30 Ländern. Check ...
Cybersecurity is rapidly growing with DevSecOps, Cloud Security, and Cryptography becoming key integrations in order to meet new challenges. The research studie
The global Silicon Carbide SiC power device market was valued at USD 1 3 billion in 2022 and is projected to expand at a compound annual growth rate CAGR of 19 3 between 2023 and 2031 reaching USD 6 3 ...
SemiQ showcases its latest Gen3 SiC MOSFET series, targeting industrial supplies, EV charging, motor drives, and solar inverters, at PCIM 2025.The post SemiQ expands Gen3 SiC MOSFET family appeared first on Electronic Products.
Der Rohbau des neuen Forschungszentrums für IT-Sicherheit an der TU Graz wurde Ende März 2025 fertiggestellt. Die Inbetriebnahme ist für März 2026 vorgesehen.
Introduction Imagine a world where even the most secure data can be cracked open like a candy...
Publication date: 1 July 2025Source: Energy, Volume 327Author(s): Y.X. Zhang, Y.B. Fan, W.Y. Zhang, Kamon Thinsurat, X.J. Zhang, L. Jiang
[Industry News, Reporter Jeong Han-gyo] From manufacturing electronic products and communication equipment to AI, semiconductors, energy, and automobiles. Huawei is expanding its influence across all industries. The driving force behind Huawei's continued activity across industries lies in its 'R&D (research and development)'. Huawei Korea Manager Yoo Kwang-yeol said, "Out of Huawei's total 220,000 employees, there are about 10,000 people in the digital power organization in charge of the solar power business, and 60% of them work at the R&D center," adding, "Is there another company where the proportion of R&D, or engineers, is higher than that of sales personnel? That's how much Huawei's R&D is worth.
Initial 1200V ID-PAK products targeted at automotive traction inverters
Polarization converters are essential components in a wide range of terahertz applications including imaging, communication and sensing. However, existing polarization converters face significant challenges, such as limited operational bandwidth, low polarization conversion efficiency and the use of expensiv
Efficient Power Conversion (EPC), the leader in enhancement-mode gallium nitride (GaN) power transistors and ICs, announces the availability of the EPC2366, a
(Bild: KI-Generiert / DALL-E) Der Cyber Resilience Act stellt IoT-Entwickler vor komplexe Herausforderungen bei der Umsetzung von Cybersicherheit. Wie können Unternehmen die strengen Vorschriften erfüllen, welche Lösungen bieten echte Unterstützung und welche Rolle spielen unabhängige Prüfungen?
Infineon has launched its CoolSiC MOSFET 750 V G2 technology, designed to deliver improved system efficiency and increased power density in automotive and
(Bild: Dall-E / KI-generiert) Microsofts Sicherheitsupdate im April 2025 schließt eine Windows-Schwachstelle, offenbart jedoch eine neue, möglicherweise schwerwiegende Sicherheitslücke.
Built upon the proven Easy Power Module platform, this new GaN power module is engineered for high-power applications.
With the rapid growth of AI data centers, the increasing adoption of electric vehicles, and the ongoing trends in global digitalization and reindustrialization, global electricity demand is expected to surge. To address this challenge
©ADN Konzentrierten sich Sicherheitsstrategien früher stark auf Soft- und Hardware von Unternehmen, müssen heute längst Faktoren wie die Cloud, Drittanbieter, IoT, soziale Netzwerke und vor allem der Mensch als Schwachstelle einbezogen werden. Hinzukommt, dass laut KPMG immer mehr Unternehmen die Komplexität und Kosten ihrer Technologien reduzieren wollen. Das stellt auch Partner vor Herausforderungen, in einer regelrechten Flut […]
The choice of Chongqing as a SiC production site aims to build a robust, localized supply chain to support the growth of China’s NEV market.
The C&I energy storage market is experiencing rapid growth as industries worldwide focus on decarbonisation and energy efficiency.
The latest in SiC technology offers fast switching, cool operation, compact design, and high efficiency for automotive and charging systems.
Lake Forest, CA – SemiQ Inc, a designer, developer, and global supplier of superior silicon carbide (SiC) solutions for ultra-efficient,
Australian battery designer and manufacturer PowerPlus Energy has unveiled a new all-in-one energy storage solution featuring a single-phase 7 kW inverter and a 13.4 KWh stackable battery.
Biosensors, such as microelectrode arrays that record in vitro neuronal activity, provide powerful platforms for studying neuroactive substances. This study presents a machine learning workflow to analyze drug-induced changes in neuronal biosensor data using complex network measures from graph theory. Microelectrode array recordings of neuronal networks exposed to bicuculline, a GABA $$_A$$ receptor antagonist known to induce hypersynchrony, demonstrated the workflow’s ability to detect and characterize pharmacological effects. The workflow integrates network-based features with synchrony, optimizing preprocessing parameters, including spike train bin sizes, segmentation window sizes, and correlation methods. It achieved high classification accuracy (AUC up to 90%) and used Shapley Additive Explanations to interpret feature importance rankings. Significant reductions in network complexity and segregation, hallmarks of epileptiform activity induced by bicuculline, were revealed. While bicuculline’s effects are well established, this framework is designed to be broadly applicable for detecting both strong and subtle network alterations induced by neuroactive compounds. The results demonstrate the potential of this methodology for advancing biosensor applications in neuropharmacology and drug discovery.
Infineon Technologies AG introduces the XENSIV TLE4960x magnetic switch family. Developed in accordance with ISO 26262, the TLE4960x switches integrate
Robots usually love big, open fields — but most farms are small and chaotic.
Publication date: Available online 25 April 2025Source: Knowledge-Based SystemsAuthor(s): Lakshmi Prasanthi, Sivaneasan Bala Krishnan, K. Venkata Prasad, Prasun Chakrabarti
Silicon Austria Labs (SAL) has developed a proof of concept with AKM's Hall sensor for a traction inverter and DC-DC converter.
The global Photonic Integrated Circuits PIC market is set to experience unprecedented expansion over the next decade Valued at USD 10 2 billion in 2022 the industry is projected to grow at a 29 2 compound annual growth rate CAGR ...
According to SICK, IO-Link as a global standard for smart sensor integration opens up a wide range of possibilities for customers in automation.
Publication date: Available online 28 April 2025Source: Sensors and Actuators A: PhysicalAuthor(s): Georgios Foteinidis, Lampros Koutsotolis, Angelos Ntaflos, Alkiviadis S. Paipetis
RFID tags can help improve inventory management, product and asset tracking, goods authentication and cross-docking. Learn more RFID in supply chain examples.
Smarthome-Anwendungen wie vernetzte Küchengeräte, eine automatische Lichtsteuerung oder sprachgesteuerte digitale Assistenten finden sich in immer mehr Wohnungen. Bei allem Komfort bietet die smarte Technik jedoch auch ein Einfallstor für Cyberkriminelle.
Der LevelBlue Futures Report 2025 zeigt, dass nur 29 Prozent der Führungskräfte auf KI-gestützte Bedrohungen vorbereitet sind – obwohl fast die Hälfte davon ausgeht, dass sie auftreten werden.
Die fortschreitende Digitalisierung treibt die Vernetzung in der Automobilindustrie immer weiter voran. CYKEN hat dazu OEMs und Tier‑1‑Zulieferer befragt und zentrale Trends und Herausforderungen im Automotive Cybersecurity-Management ermittelt. Die Ergebnisse sind alarmierend: Cyberangriffe auf Hersteller und Zulieferer verursachten
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ChemElectroChem, EarlyView.
The double-helical design places both electrodes at one end, preventing damage that typically occurs when electrodes are pulled at joints.
Google continues to work to make its Wallet service the primary hub for all your cards and digital ID documents. In recent weeks, the app has received
Chitchanok Chuengsatiansup ist Ende 2024 von der University of Melbourne an die Universität Klagenfurt gewechselt, um hier weiter an optimierten kryptographischen Codes zu arbeiten, die mehrere Ziele gewährleisten: Während die […]
Das Fintech Pflegenavi aus dem Burgenland will die Bereiche Pflege und Betreuung mit ihrer cloudbasierten Softwarelösung unterstützen. Das Ziel ist es,
Renewable energy represents the most reliable and widely recognized solution for meeting the escalating global energy demands. The optimization of sol…
Google’s Find My Device network for Android started off slow, to say the least, but has been steadily improving. Now,...
Publication date: Available online 25 April 2025Source: Precision EngineeringAuthor(s): Gaurav Kishor, Krishna Kishore Mugada, Raju Prasad Mahto
Photonic sensors & detectors market set for strong growth driven by automation, AI integration, and rising demand across healthcare, automotive, and defense.
The growing demand for real-time, non-invasive, and cost-effective health monitoring has driven significant advancements in portable point-of-care testing (POCT) devices. Among these, optical biosensors have emerged as promising tools for the detection of critical biomarkers such as uric acid (UA) a …
Electrochemical Science Advances, EarlyView.
The Internet of Things (IoT) isn't just a buzzword anymore; it's actively reshaping how we experience...
Already supporting multiple enterprise clients, including Fortune 500 companies, Terra Security plans to use the funding to enhance its AI-driven penetration testing agents, improve platform functionality, and expand its global customer base
PQShield's UltraPQ-Suite allows companies across the global technology supply chain to adapt to new post-quantum cryptography (PQC) standardsThe products offer an unparalleled range of IP for
Wie funktionieren Ransomware-as-a-Service (RaaS) Modelle? Lesen Sie über die Bedrohungen durch DragonForce und Anubis.
(Bild: TetateaX/stock.adobe.com via KIT) Neue Algorithmen zum Schlüsselabgleich sollen Quantenresistenz mit Standardhardware bieten, so ein Karlsruher Forscherteam nach einer Demonstration in München. Die Technologie könne binnen fünf Jahren global eingesetzt werden.
Der Global Cyber Attack Report von Check Point zeigt eine starke Zunahme der Cyber-Angriffe in Östrreich – mit 69 Prozent ein stärkeres Wachstum als weltweit (47 Prozent). Global sind besonders Ransomware-Angriffe mit einem Anstieg von 126 Prozent durch die Decke gegangen.
Experten warnen, dass Cyberattacken durch die globalen Spannungen deutlich zunehmen könnten. Besonders in den USA schlagen Cyber-Fachleute Alarm.
World Scientific Series on Carbon Nanoscience, Page 89-179. The integration of carbon nanotubes (CNTs) into field-effect transistors (FETs) has unlocked remarkable potential in biosensing technology. This chapter provides a comprehensive overview of CNTFET biosensors, encompassing their fabrication, operational principles and sensing mechanisms, optimization strategies, and diverse applications. First, we describe the various techniques employed in the fabrication of CNTFET biosensors and functionalization of CNTs, elucidating the intricate processes that leverage the unique properties of CNTs to create highly sensitive and selective platforms for biosensing applications. In the following sections, we discuss the operating principles of different CNTFET biosensor configurations and the sensing mechanisms governing CNTFET biosensors. The emphasis is then placed on different strategies to improve biosensing performance based on these sensing mechanisms. Finally, we explore the diverse array of applications for CNTFET biosensors across various fields, including medical diagnostics, health monitoring, environmental pollutants detection, and food analysis. Additionally, recent advances in machine learning-assisted biosensing utilizing CNTFET biosensors are also reviewed. This chapter concludes with challenges and outlooks for future biosensing applications for CNTFETs.
Enterprise AI use has surged over 3,000%, with ChatGPT dominating but also being the most-blocked app due to security concerns, says Zscaler report.
AI is no longer the technology of tomorrow; it’s today’s most pressing business opportunity. According to recent findings from Semarchy, an overwhelming 75% of organisations plan to invest in AI technologies in 2025 alone. This surge in interest reflects AI’s potential to transform operations, streamline decision-making, and unlock new competitive advantages. But with this accelerated
Is Arista Networks Inc (ANET) the Best Edge Computing Stock to Buy According to Hedge Funds? We recently published a list of 13 Best Edge Computing …
The case for quantitative thinking in cyber risk
The exponential rise in cyberthreats has rendered malware detection a crucial component of cybersecurity. Traditional signature-based detection technologies are insufficient for combating emerging threat vectors, as increasingly complex malware targets sensitive systems. Machine learning techniques have emerged as a viable alternative for the precise detection and classification of malware through data-driven insights. This study presents a comprehensive malware detection system that combines Convolutional Neural Networks (CNN) with sophisticated machine learning (ML) methodologies, including ensemble techniques like Random Forest and Gradient Boosted Decision Trees. To rectify class imbalance and enhance model performance, the framework utilizes extensive preprocessing methods, including SMOTE. The Random Forest achieved the highest accuracy of 97.4%, followed by Gradient Boosted Decision Trees at 96.7%; the CNN demonstrated competitive performance at 95.0%. Dynamic API call sequences were identified as essential elements for precise classification. The proposed technique significantly reduces false negatives, hence ensuring improved protection against malicious software and enhancing recall. This research provides a scalable framework for future malware detection systems and demonstrates how machine learning may enhance cybersecurity protocols.
The integration of smart devices and advanced communication infrastructure has turned power systems into cyber-physical systems (CPS), introducing cyber vulnerabilities. One such vulnerability arises from the use of the address resolution protocol (ARP), which is commonly employed in power systems’ information technology (IT) infrastructure to assign internet protocol (IP) addresses to devices such as relays, controllers, and meters. Due to the lack of authentication in ARP, attackers can exploit it to infiltrate substation automation systems (SAS). To detect and locate ARP spoofing attacks, a novel network intrusion detection system (NIDS) was developed using Snort3, TShark, and Python scripts to monitor ARP broadcast messages. This detection method was tested on a dedicated, real-time multi-agent CPS testbed, where a microgrid is simulated as the physical layer using a real-time digital simulator (RTDS). While the cyber layer consists of a multi-agent control implemented in a graphical network simulator (GNS3) together with Raspberry Pi devices. The real-time operator’s view is developed in Grafana visualization, mimicking the real-life microgrid operation. Two common practical ARP attacks, known as man-in-the-middle (MITM) and false data injection (FDI) attacks, were conducted to evaluate the performance of the proposed NIDS method. Both MITM and FDI attacks were implemented using IT network testing tools, such as Ettercap and the Scapy library in Python. The results have shown that the proposed NIDS system can detect, localize, and publish the IP address of the attacker in both MITM and FDI attack scenarios. In addition, the impact analysis results indicated that for an identical malicious payload, the FDI attack is more severe when compared to MITM due to intermittent nature of false data injection.
In the face of increasingly complex IoT environments and increasing data volumes, existing encryption algorithms still need to be further optimized in terms of the balance between efficiency and security. For embedded systems, their hardware resources are limited, and the current optimization strategies still have shortcomings in improving system performance, reducing power consumption and enhancing system stability. In this study, the optimization strategy of encryption algorithm and embedded system based on IoT security is studied. Designed for lightweight encryption algorithms and deployed in embedded systems, it aims to balance the security and performance of IoT devices and provide users with a seamless and reliable service experience. In this study, three encryption algorithms, AES-Light, SPECK and SIMON, were selected and compared on ARM Cortex-M series microcontrollers. Experiments show that the SPECK algorithm leads with its excellent encryption and decryption rate, which is 15% faster than AES-Light, while the power consumption of SIMON is reduced by 20%. Based on this, preferred encryption schemes suitable for different IoT scenarios are established. In addition, in order to overcome the limitation of fixed encryption settings in a dynamic network environment, this project proposes an adaptive encryption strength adjustment strategy. By monitoring the risk level of the equipment in real-time and automatically optimizing the encryption parameters, the security guarantee is improved by 30% in high-risk situations while avoiding unnecessary computing overhead in low-risk scenarios, improving the overall efficiency by more than 15%, and significantly enhancing the intelligence and adaptability of IoT systems.
The Time Of Flight TOF Sensor Market Report by The Business Research Company delivers a detailed market assessment covering size projections from 2025 to 2034 This report explores crucial market trends major drivers and market segmentation by key segment categories ...
This post is also available in: עברית (Hebrew)As lithium-ion batteries continue to power a growing number of devices, safety concerns have risen to the forefront. Despite their efficiency and long lifespan, these batteries can be prone to dangerous failures, particularly when they overheat or sustain damage. In response to these risks, a new sensor developed […]
Der digitale Produktpass soll durch produktbezogene Daten den Wirtschaftskreislauf von Ressourcen optimieren. Erfahren Sie alles zu den geplanten EU-Maßnahmen.
Biosensors are redefining elite sports performance by providing real-time data driven insights into training and recovery helping to prevent injuries and...
Parcel distribution centers (PDCs), as the pivotal nodes in logistic networks, facilitate parcel sorting, consolidation, and distribution. In the past decades, the rapid growth of e-commerce and steadily increasing parcel volumes have imposed big challenges on the efficiency and reliability of PDCs. Though recent studies have focused on using simulation-based approaches for decision-making at PDCs, the dynamic and complex nature of logistics networks is yet to be thoroughly captured due to the commonly used simplified simulation models with idealized assumptions. Our work aims to establish a parcel-sorting digital twin system (PSDTS) under practical settings, with real-time responses, sufficient fidelity, and high real-world applicability. This paper presents the detailed design and implementation of the PSDTS in PDCs, which is the first industrial digital twin system deployed in logistics. Specifically, we first establish a standardized Industrial Internet of Things (IIoT) framework that ensures seamless integration of heterogeneous sorting devices, enabling standardized data transmission and processing. Then, based on the standardized IIoT framework, the PSDTS is capable of real-time interaction, precise validation, and intelligent management, achieving a new level of operational transparency and system optimization. Validation across various PDCs with real-world sorting data demonstrates the exceptional accuracy of the PSDTS, providing a robust foundation for intelligent operations, optimization, and real-time decision-making. This work represents a significant step forward in intelligent logistics management and operational optimization, setting a cornerstone for the continued evolution of logistics networks driven by Digital Twin technology.
This paper claims an innovative solution for intelligent electrical current measurement. The proposed concept involves using a drone as a messenger to…
Heterogeneous compute and a new paradigm for AI at the edge.
Arterial pulse wave measurement is beneficial in clinical health assessment and is important for effectively diagnosing different types of cardiovascular disease. Computational pulse signal analysis utilizes sensors and signal processing techniques to understand, classify, and predict disease pulse …
(Bild: AMA) Die Studie „Sensor Trends 2030“ analysiert aktuelle Entwicklungen und Herausforderungen in der Sensorik und zeigt, wie Deutschland seine Technologieführerschaft behaupten kann.
Finally showing some progress in its development efforts, SPARK Microsystems has unveiled its new SR1120 ultra-wideband (UWB) wireless transceiver, which it says is able to deliver 40x the data throughput of Bluetooth, with 25x the power savings, and up to 60x lower latency. This doubles up the performance from its existing chips, while offering extended range and multi-antenna support.
The integration of wearable sensors with artificial intelligence forms the base for analyzing physical activities through digital signal processing, numerical methods, and machine learning. Computational intelligence and communication technologies enable personalized monitoring, training, and rehabilitation, with applications in sports, neurology, and biomedicine. This paper focuses on motion analysis in alpine skiing using real accelerometric, gyroscopic, positioning, and video data to evaluate ski movement patterns. The proposed methodology employs functional transforms to estimate motion patterns and utilizes artificial intelligence for signal segmentation and feature classification related to lower limb movement. Machine learning results indicate differences in energy distribution before and after ski turns and demonstrate the feasibility of classifying associated motion patterns with accuracies of 98.1% and 90.7%, respectively, using a two-layer neural network. The interdisciplinary application of computational intelligence in this domain enhances motion analysis, injury prevention, and performance optimization. This study highlights the unifying role of digital signal processing, which uses similar mathematical tools across various applications.
Allied Market Research published an exclusive report titled RFID Reader Market Size Share Competitive Landscape and Trend Analysis Report by Product Type Frequency Band and Industry Vertical Global Opportunity Analysis and Industry Forecast 2019 2026 Get Exclusive Sample Pages of ...
Purpose: To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight magnetic resonance angiography (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the challenge of time-consuming acquisition of high-resolution, whole-head angiograms. Methods: A novel few-shot learning-based reconstruction framework is proposed, featuring a 3D variational network specifically designed for 3D TOF-MRA that is pre-trained on simulated complex-valued, multi-coil raw k-space datasets synthesized from diverse open-source magnitude images and fine-tuned using only two single-slab experimentally acquired datasets. The proposed approach was evaluated against existing methods on acquired retrospectively undersampled in vivo k-space data from five healthy volunteers and on prospectively undersampled data from two additional subjects. Results: The proposed method achieved superior reconstruction performance on experimentally acquired in vivo data over comparison methods, preserving most fine vessels with minimal artifacts with up to 8-fold acceleration. Compared to other simulation techniques, the proposed method generated more realistic raw k-space data for 3D TOF-MRA. Consistently high-quality reconstructions were also observed on prospectively undersampled data. Conclusions: By leveraging few-shot learning, the proposed method enabled highly accelerated 3D TOF-MRA relying on minimal experimentally acquired data, achieving promising results on both retrospective and prospective in vivo data while outperforming existing methods. Given the challenges of acquiring and sharing large raw k-space datasets, this holds significant promise for advancing research and clinical applications in high-resolution, whole-head 3D TOF-MRA imaging.### Competing Interest StatementHao Li receives studentship support from Siemens Healthineers. Iulius Dragonu is an employee of Siemens Healthineers. Peter Jezzard is the Editor-in-Chief of Magnetic Resonance in Medicine. In line with COPE guidelines, Peter Jezzard recused himself from all involvement in the review process of this paper, which was handled by an associate editor. He and the other authors had no access to the identities of the reviewers.
Publication date: 15 May 2025Source: Chemical Engineering Journal, Volume 512Author(s): Anees A. Ansari, Ruichan Lv, Abdul K. Parchur, Marshal Dhayal
(Bild: Prostep) Prostep unterstützt Unternehmen nicht nur, einen Digitalen Produktpass zu generieren, sondern hat auch einen KI-basierten Chatbot entwickelt.
Kathrein stellt eine eichrechtskonforme Payment-Station für Ladesäulen vor. Die Lösung ermöglicht kontaktloses Bezahlen ohne App-Zwang und lässt sich flexibel in bestehende Ladeinfrastruktur integrieren. Kontaktloses Bezahlen an öffentlichen Ladepunkten Mit der Einführung einer neuen Payment-Station will das Unternehmen Kathrein gemeinsam mit den Partnern ENIO und TeleCash den Zahlungsprozess an öffentlichen Ladepunkten verbessern. Die Lösung wurde speziell entwickelt, um die Anforderungen der seit […]
Publication date: Available online 8 April 2025Source: Computers & SecurityAuthor(s): Anit Kumar, Dhanpratap Singh
It's the latest wireless technology to hit automotive, helping OEMs to meet safety regulations, introduce new features, and even cut costs.The post The transformative force of ultra-wideband (UWB) radar appeared first on EDN.
Accurately estimating the crowdedness inside a fixed-route bus is essential for improving transportation system efficiency and enhancing passenger comfort. While methods using cameras or sensors installed at bus entrances to count passengers have been proposed, these methods present challenges in terms of passenger privacy, installation costs, and placement. These approaches typically use the number of passengers as an objective indicator to evaluate crowdedness. However, even with the same number of passengers, the subjective crowdedness level experienced by each passenger can vary. Thus, it is important to estimate the objective crowdedness and the subjective crowdedness level perceived by bus passengers. In this study, we developed a method for estimating objective and subjective crowdedness levels using only Bluetooth Low Energy (BLE) information collected by the existing bus location tracking system installed in fixed-route buses to reduce privacy and installation costs. Specifically, Bluetooth device (BD) addresses obtained from BLE scans are filtered based on occurrence frequency and average RSSI to distinguish between passenger and surrounding BD addresses. The number of passenger BD addresses, along with their differences and rates of change, are used as features to estimate the number of passengers and the subjective crowdedness level using machine learning models. An experiment to evaluate the BLE method produced an accuracy of 0.653 for the objective crowdedness level (number of passengers) and 0.513 for the subjective crowdedness level, indicating that BLE signal information can capture the general trend of objective and subjective crowdedness.
The rapid emergence of the smart industry hides numerous challenges that need to be addressed promptly. In the transition between two industrial eras …
(Bild: Tageos) Der französische RFID-Spezialist Tageos eröffnet in Hallbergmoos bei München ein Forschungszentrum. Dort sollen spezialisierte RFID- und IoT-basierende Lösungen entwickelt und Kunden weltweit bei der Umsetzung neuer Anwendungen unterstützt werden.
The LoRa and LoRaWAN IoT Market is Valued USD 5 6 billion by 2024 and projected to reach USD 39 0 billion by 2032 growing at a CAGR of 32 00 During the Forecast period of 2025 2032 The Latest ...
Publication date: Available online 4 April 2025Source: Internet of ThingsAuthor(s): Sarah Bin hulayyil, Shancang Li, Neetesh Saxena
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