Visit Austria's most impactful tech-networking event
EBSCON 2024
STMicroelectronics Press Release (March 11, 2026, 5:00 PM) STMicroelectronics Announces New MasterGaN Power ICs Combining Advanced GaN Technology and Flexibility
Thales spoke with Euronews Next at the Mobile World Congress about the current cybersecurity threats.
A new study from Enteligent found that shifting from traditional alternating current (AC) power to 800V direct current (800VDC) can dramatically reduce cost, energy waste, and infrastructure complexity in high-density AI data centers.But Enteligent is a developer of direct current (DC) power infrastructure for high-density loads, so it has a vested interest in such findings. But does that diminish the results? CEO Sean Burke says facts are facts.“We believe that DC is more efficient,” he said. “There are higher voltage levels in DC than AC infrastructure. It’s just a fact that we can run at higher volts, DC is fewer wires, and with the higher voltage it is beneficial to what we’re doing. From the standpoint of the facts related to AC and DC efficiencies and cost savings, we believe it is undebatable.”Many would say the alternating current and direct current wars between Nikola Tesla and Thomas Edison were settled more than a century ago, but Burke says the technology has improved and change the shape of the landscape for direct current.“AC won out because the technology wasn’t ready for DC,” he said. “The main thing [at the time] was about how do you transport long distances? The technology to do that with AC was available through basically inexpensive transformers. It was not there for DC, where now where we have solid state converters to be able to take DC power to high voltages and down to low voltages.”Within the confines of a data center’s walls, DC’s efficiencies become apparent. With DC, there are two power cables. With AC, there are 4 wires. So there is considerable wiring savings in an all-DC facility. Also, with higher voltage comes a lower current and current is what generates heat. So data centers that can run on 800VDC can run cooler.The result is a 50% to 80% reduction in copper usage, due to fewer conductors and less parallel cabling, and an 8% to 12% reduction in annual energy-related OpEx through lower conversion and distribution losses.By reducing conductor count, cabling, and redundant power components, 800VDC enables meaningful savings at both build-out and operational stages. AI-first facilities can see a $4 million to $8 million in CapEx savings per 10 MW build by reducing upstream AC. For a one-gigawatt data center, you’re saving a couple million pounds of copper wire, he said.Burke says an all-DC data center is best done with a whole new facility rather than retrofitting old facilities. “[DC] is going to be in a lot of greenfield data centers that are going to be built, and data centers that are going to go to higher compute power are also going to DC,” he said. He did recommend all-DC retrofits for existing data centers that are going to employ high power computing with GPUs.Enteligent’s unnamed and as yet unreleased product is a converter that takes 800 volts and partitions it to 50 volts for the computing servers. The company will provide a new power supply, power shelf that converts 800 volts DC to 50 volts DC much more efficiently than any current power supplies.Burke said the company is doing NDA level testing and pilot programs now with its product, but it will be making a formal announcement within the next few weeks. There are a number of players in the DC arena focusing on different parts of the power supply market including Vertiv, Rutherford, Siemens, Eaton and many more.
IQM Quantum Computers has installed its fourth 20-qubit system, Aalto Q20, at Aalto University to advance research, education, and the Finnish quantum ecosystem.
TraceX Labs is an Indian cybersecurity startup founded by Santhosh Kumar and Kiran Singh that develops AI-driven security technologies to protect enterprises and users from cyber threats.
11.03.2026 - TORONTO and DAEJEON, South Korea, March 11, 2026 (GLOBE NEWSWIRE) - Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, has partnered with the Electronics and Telecommunications Research Institute (ETRI), ... Seite 1
In this work, we systematically investigated the degradation and recovery behaviors of p-NiO/n-Ga2O3 heterojunction barrier Schottky diodes (HJBS) under high-temperature forward bias (HTFB) stress. Furthermore, based on the observed degradation trends in the device’s DC characteristics, a comprehensive analysis was conducted to elucidate the underlying degradation mechanisms. The as-fabricated HJBS structure, based on a p-NiO/n-Ga2O3 heterojunction, exhibited excellent electrical performance with a breakdown voltage exceeding 1kV and an on-resistance of 9.23 m $\Omega \cdot $ cm2. However, during actual circuit operation, devices are inevitably subjected to high-temperature and high-current stress conditions, leading to significant degradation in turn-on voltage and on-resistance. These challenges impose stricter requirements on the reliability of HJBS devices. The device underwent forward bias stress followed by recovery evaluation. After the forward bias stress (2.5 V at $25~^{\circ }$ C) for 15ks, only a 5.2% degradation in the turn-on voltage increase ( $\Delta {V}_{\text {on}}$ ) was observed. This degradation is attributed to the electron capture associated with donor traps. During the subsequent recovery phase, a nonrecoverable degradation of 2.7% in $\Delta {V}_{\text {on}}$ was recorded, which is believed to be caused by the presence of defects compensation or passivation within the bulk material that impeded the release of trapped electrons. These findings provide important insights for improving the reliability of Ga2O3 power devices.
Washington (dpa) –US artificial intelligence applications company OpenAI announced Monday evening its acquisition of cybersecurity startup Prompt Vu, without disclosing the financial details of the deal.The Prompt Vu team, which develops tools designed to test and protect complex AI systems, will join OpenAI...
The global landscape of electric vehicle EV and hybrid electric vehicle HEV powertrain development is undergoing a profound transformation driven by the escalating demand for higher efficiency superior thermal stability and robust power density Leading market research publisher QYResearch announces ...
Successfully develops SiC Planar MOSFET process platform for 450V–2300V, securing high reliability and yield competitiveness Accelerates SiC-based compound semiconductor foundry business by initiating 1200V SiC MOSFET development for a new customer SEOUL, South Korea, March 11, 2026 /PRNewswire/ -- SK keyfoundry, an 8-inch pure-play foundry in Korea, announced that it has recently completed the development of its SiC (Silicon Carbide) Planar MOSFET process platform, which is gaining traction in the next-generation compound power semiconductor market. The company also revealed that it has secured an order for the development of a 1200V SiC MOSFET product from a new customer, marking its full-scale entry into the SiC compound semiconductor foundry business. The new SiC Planar MOSFET process platform introduced by SK keyfoundry supports a wide voltage range of 450V to 2300V. It has proven its exceptional performance by securing high reliability and stability data particularly in high-voltage operating environments. In addition, through overall process optimization and precise control of core processes, the company has improved its yield to over 90% and enhanced productivity. Furthermore, SK keyfoundry stated that it offers a differentiated "customized process support service" that enables fine-tuning of electrical characteristics and specifications to meet specific customer requirements. Alongside the completion of this process platform development, SK keyfoundry has secured an order for a 1200V high-voltage product from a customer specializing in SiC design and has initiated its development. This process will be applied to the customer's industrial equipment, playing a critical role in thermal efficiency management. Following prototype evaluation and reliability verification, the company plans to begin full-scale mass production in the first half of 2027. The development of this SiC Planar MOSFET process platform represents the first fruit of integrating the core capabilities of both companies following SK keyfoundry's acquisition of SK powertech, a company specializing in SiC. Securing an actual customer order following the completion of technological development demonstrates that the platform has secured the level of maturity and competitiveness for immediate commercialization, moving beyond the technical verification stage. "The development of this SiC Planar MOSFET process platform is an achievement that demonstrates SK keyfoundry has secured independent technological leadership in the global compound semiconductor market," said Derek D. Lee, CEO of SK keyfoundry. "Based on our differentiated processes with high yield and reliability, we will continuously expand our high-voltage power semiconductor solutions to meet the needs of domestic and global customers." About SK keyfoundry Headquartered in Korea, SK keyfoundry provides specialty Analog and Mixed-Signal foundry services for semiconductor companies to serve a wide range of applications in the consumer, communications, computing, automotive and industrial industries. With a broad range of technology portfolios and process nodes, SK keyfoundry has the flexibility and capability to meet the ever-evolving needs of semiconductor companies across the globe. Please visit for more information.
The leading B2B Content publishing platformFurther information or supportShare across 30+ relevant IndustriesTake advantage of a wealth of insightSearch our networkAs the world transitions toward a…
Indra Group is leading the RDI project GIGaNTE (Gallium Nitride (GaN) and Advanced Packaging Technologies Research Initiative)
Rohm hat beschlossen, seine eigenen Entwicklungs- und Fertigungstechnologien für GaN-Leistungsbauelemente mit der Prozesstechnologie von TSMC zu integrieren,
Fast drei Viertel der Finanzinstitute kämpfen mit KI-Stimmenbetrug, wie ein aktueller Report zeigt.
Quantum eMotion setzt QRNG2-Technologie zur quantensicheren Absicherung im Krown Network ein. Ein wichtiger Schritt im wachsenden Markt für Post-Quantum-Kryptografie.
Die iranische Gruppe MuddyWater hatte bereits vor der jüngsten Eskalation Zugriff auf kritische Sys
The new US cyber strategy for 2026 combines offensive deterrence, technological autonomy, and the centrality of artificial intelligence. Compared with the 2018 and 2023 documents, a more assertive doctrine emerges, linking national security, industry, and control of critical infrastructure.
Kaspersky Lab's Automotive Industry Cyber Threat Outlook Report: Ransomware Attacks Targeting Taxi Drivers, Charging Stations, and Gas Stations Expected to Increase
Mit neuen PQC Strategien schützen CypSec und Validato digitale Identitäten und stärken die Sicherheit sensibler Background Checks.
(Bild: Wolfspeed) Wolfspeed hat nach eigenen Angaben den ersten kommerziell verfügbaren Siliziumkarbid-MOSFET mit einer Sperrspannung von 10 kV vorgestellt. Das Bauelement zielt auf Anwendungen in Mittelspannungs-Netzinfrastrukturen, industrieller Elektrifizierung und Hochleistungs-Rechenzentren ab.
(Bild: RECOM Engineering GmbH & Co KG) Die Stromversorgung elektronischer Systeme steht seit einigen Jahren unter Druck. Einerseits steigen Anforderungen an Leistungsdichte, Wirkungsgrad und EMV-Verhalten. Andererseits nimmt die Zahl erfahrener analoger Entwickler ab. Neue Lösungen sind erforderlich.
Market Summary The global Gallium Nitride GaN Power Devices Market is witnessing rapid expansion as industries adopt next generation wide bandgap semiconductor technologies for high efficiency power conversion systems According to industry analysis the market was valued at US 571 ...
Market Summary The global Silicon Carbide SiC Power Semiconductors Market is experiencing strong growth as industries increasingly shift toward high efficiency power electronics and next generation energy systems According to recent industry analysis the market was valued at US 4 ...
The Silicone Based Transformer Oil Market is growing due to increasing demand for high-performance insulating fluids in electrical transformers.
HD Hyundai Electric announced that it held a groundbreaking ceremony for its second plant at the North American production subsidiary (HD Hyundai Power Transfo
Power Transformer Market – Expansion of power grids, renewable integration, and rising electricity demand boost the global power transformer market.
Publication date: March–April 2026Source: Journal of Materials Research and Technology, Volume 41Author(s): Shanshan Chen, Zenggan Bian, Zhibin Liu, Yue Cao, Bin Wang, Wenwu Zhang, Liyuan Sheng
The AC and DC Servo Motor Market is experiencing steady growth due to rising automation across manufacturing, robotics, and industrial machinery. These motors play a crucial role in delivering precise motion control, high efficiency, and reliability,
Emerging 10 kV silicon carbide (SiC) MOSFET based medium voltage (MV) converters have attracted increasing research interest due to their significantly improved performance compared with silicon (Si) IGBT based converters. The success of such MV converter design requires an accurate model of 10 kV SiC MOSFETs, which is proposed in this paper. The impact of high voltage on the transconductance and the dynamic gate charge characteristics of the 10 kV SiC MOSFET is first characterized. Based on these results, an improved switching model considering high voltage impact is proposed and experimentally verified. The developed model is then applied to aid the design of a 5-level MV flying capacitor converter (FCC). A low-cost decoupling capacitor solution for FCC switching cell is proposed. Challenges posed by high switching speed are examined using the developed model, with a gate resistances selection strategy proposed. Finally, a prototype of the 10 kV SiC device based MV 5L-FCC phase-leg is developed. Its reliable operation under high voltage (e.g., 23 kV) and very fast switching speed (e.g., >100 V/ns) are demonstrated.
Learn how Mitsubishi Electric’s latest Unifull SiC modules combine advanced performance with enhanced power cycling capability enabled by improved materials and packaging technology.
Munich, Germany – 03 March 2026 – Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) introduces the 28nm TEGRION™ SLI22, the latest innovation in automotive security controllers, designed to protec…
XenomatiX, a pioneer in true solid-state lidar technology, has announced Siemens as the winner of its lidar contest, which attracted hundreds.
The funding will be used to expand Evervault’s encryption infrastructure, invest in product development, and grow its engineering and product teams.
The 600 V GaN half-bridge features integrated drivers that reduce the component count and simplify the layout.
Reclaim Security, an automated threat exposure remediation platform, announced $26 million in total funding, including a recent $20 million Series A round led by Acrew Capital with participation from QP Ventures and Ibex Investors. The funding is intended to accelerate the company’s mission to close what security leaders describe as a persistent cybersecurity challenge: the remediation gap between identifying vulnerabilities and actually fixing them.
TDK is introducing two new DC link capacitor series optimized for on-board chargers (OBCs) in electric vehicles: the ultra compact B43655 and B43656
Miniaturised proximity Time-of-Flight (ToF) sensors are attractive for robotics applications due to their low cost, compact size, and low power consumption, which makes them suitable for direct distribution on the robot body. However, both the accuracy and the reliability of their measurements are influenced by operating conditions and target properties. These aspects are not fully investigated in the manufacturer’s datasheet, yet they play a crucial role in downstream robotic tasks. To address this gap, we mounted three VL53L5CX sensors, an Ambient Light Sensor, and a thermistor on a robotic manipulator in a controlled laboratory setup and executed a series of experiments to characterise sensor performance. Specifically, experiments were conducted to quantify sensor drift over time, the influence of ambient illumination under three office lighting conditions, within-frame beam variability, depth accuracy over the 20–800 mm range for different materials, orientation sensitivity at different distances, and an empirical signal-to-noise ratio. The results reveal a transient warm-up effect at startup, after which measurements stabilise, a near-linear range-dependent bias with substantially larger uncertainty for dark targets, limited within-frame variability, and an invalid measurement rate consistently below 10%. Overall, the VL53L5CX provides repeatable measurements, and the findings of this work can be leveraged to derive more faithful sensor models, apply range bias correction, and broaden the range of robotic applications.
The new family of opto-emulator gate drivers provides drop-in replacements to conventional silicon, IGBT, and SiC MOSFET designs.
An Automotive Cabin Air Quality Sensor is an electronic device used in vehicles to monitor the quality of air inside the passenger cabin It detects pollutants such as carbon monoxide nitrogen oxides hydrocarbons and particulate matter from outside traffic or ...
NewTec präsentiert modulare Gateway-Plattform für cybersichere Kommunikation und Edge-Computing NTSecuteGateway MCP – modulare Gateway-Plattform von NewTec Pfaffenhofen a. d. Roth, 04. März 2026. Die NewTec GmbH, Spezialist für sicherheitsgerichtete elektronische Systeme, präsentiert auf der Embedded World vom 10. bis 12. März eine neue Gateway-Plattform für die cybersichere Kommunikation zwischen Steuerungen, Maschinen, Sensoren und Cloud. Dank […]
In this article, we look at the technology in drones and focus on how solutions for the drone’s ESC can simplify motor control.
Nach der Tötung von Ali Chamenei warnen Experten und Geheimdienste vor gezielten Attacken auf die kritische Infrastruktur der US-Kapitalmärkte
(Bild: Vogel IT-Medien / Delinea / Schonschek) Unternehmen müssen nicht nur die aktuelle Cyberbedrohungslage kennen, sondern auch den Stand ihrer eigenen Security, um ihre Risiken besser einschätzen zu können. Was bedeutet dabei Security Posture? Wie hilft Security Posture Management? Und was ist Identity Security Posture Management? Das Interview von Insider Research mit Andreas Müller von Delinea liefert Antworten.
STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, now supports leading-edge...
XenomatiX has announced Siemens as the winner of its lidar contest, held in September 2025 and attracting hundreds of entries
How do AI smart glasses understand what you see and hear? Advanced optical sensors track gaze, sense the environment, and provide context-aware assistance; high‑performance light emitters provide the required visualization and data output, [making the captured information perceptible to the smart‑glasses wearer]. We develop these components at ams OSRAM – a place where cross-functional teams collaborate to turn innovation into meaningful impact. Explore how your skills could help shape wearable tech while advancing your career. Save this post to discover more about our technology and team impact and read the full story here: #experienceamsOSRAM #InnovationLeadership #EmployeeImpact
Market Overview The global pressure sensor market is witnessing strong growth momentum driven by rapid industrial automation expanding automotive electronics integration and increasing adoption of smart monitoring systems across industries Pressure sensors are critical components used to measure and monitor ...
G DATA Studie zeigt: Mit sinkender Hierarchieebene nimmt das Verantwortungsgefühl deutlich ab
Mit der rasanten Entwicklung künstlicher Intelligenz (KI) erreicht auch die Cyberkriminalität eine neue Dimension. Was früher erheblichen technischen Aufwand
(Bild: GlobalConnect) Quantentechnologie verändert Wirtschaft, gefährdet Verschlüsselung: Experten erklären PQC & QKD und wie Firmen sich jetzt quantensicher aufstellen.
CrowdStrike warnt vor einem Anstieg KI-gestützter Cyberangriffe. Neue Allianzen sollen helfen, rechtliche und finanzielle Herausforderungen zu meistern.
Neue EU-Cybersicherheitsregeln und modernisierte Arbeitsschutzvorschriften zwingen Unternehmen zur D
👉Please meet Dr. techn. Vanessa Staderini – Excellence in Robotics & Computer Vision at AITA milestone at the AIT Austrian Institute of Technology Center for Vision, Automation & Control: Vanessa Staderini is the first woman to successfully complete her PhD at the Center—achieving an outstanding result. Her research bridges computer vision, control engineering, and robotics to enable robust, high-performance industrial visual inspection. ✏️In her doctoral thesis, “Integrated Planning and Optimization Framework for Robotic Visual Inspection”, she developed a model-based framework that generates inspection viewpoints and robot paths directly from CAD and sensor data—maximizing coverage with minimal viewpoints to cut cycle time and enable fast, precise inline inspection with lower resource and energy use.👌This is what Vanessa says: “When I first came to AIT, I was excited, but never imagined this journey would be so fast, rewarding, and fun.” Congratulations, Vanessa! We’re proud to continue this journey together and take the next step forward.Learn more here:Link #AIT #Robotics #ComputerVision #Automation #WomenInSTEM #WOMENinScience #WOMENinTech #DiversityInspiresIdeas
Strahinja Janjusevic, a master’s degree student in the MIT Technology and Policy Program, focuses on applying AI techniques to cybersecurity problems and examining the policy implications of these advancements, especially in the context of maritime cybersecurity.
TDK Corporation announced that it has expanded its NTCSP series of NTC thermistors. These components are designed for conductive‑glue mounting for operation in high‑temperature environments up to +175 °C. Mass production of this series began in Feb
Nach dem Verkauf des nicht-optischen Sensorgeschäfts an Infineon verbleibt die optische Vitaldatenerfassung für Wearables in Regensburg, die Röntgen-Sensorik für die radiologische Bildgebung geht »fabless« an Infineon. In der Medizintechnik fokussiert sich ams Osram jetzt auf lichtbasierte Sensorik.
With this acquisition, Infineon expands its sensor business, enhancing automotive, industrial, and medical sensor capabilities.
Latest Report titled Automotive Temperature Sensor Market Trends Share Size Growth Opportunity and Forecast 2026 2033 by Coherent Market Insights offers a comprehensive analysis of the industry which comprises insights on the market analysis The report also includes competitor and ...
Mehr … Read more →
"Zebra (US), Infineon (Germany), Inpixon (US), Pozyx (Belgium), Sewio (Czech Republic), Ubisense (UK), Redpoint Positioning (US), Kinexon (Germany), Eliko (Estonia), Infsoft (Germany), Ubitrack (Bulgaria)."Ultra-Wideband (UWB) Indoor Location Market...
"Zebra (US), Infineon (Germany), Inpixon (US), Pozyx (Belgium), Sewio (Czech Republic), Ubisense (UK), Redpoint Positioning (US), Kinexon (Germany), Eliko (Estonia), Infsoft (Germany), Ubitrack (Bulgaria)."Ultra-Wideband (UWB) Indoor Location Market...
Currently, our colleague Rudolf Heer, Head of Research Unit Electronic Sensors, represents SAL at nano tech 2026 – the International Nanotechnology Exhibition & Conference in Japan.Rudolf joins the NanoNET Austria booth together with other Austrian key players in the field of #nanotechnology, engaging in inspiring exchanges with experts and innovators from around the world.Together with his team, he works on integrated and intelligent data processing, directly at the sensor front end, to prepare the basis for future distributed systems. Find out more about Electronic Sensors at SAL: #sensors #nanotech #electronics #research #salmicrofab #microfabrication
The VCSEL Vertical Cavity Surface Emitting Laser Lidar chip market is rapidly emerging as a pivotal segment within the semiconductor industry driven by advancements in laser technology and optical sensors VCSELs are integral to Lidar systems which are widely utilized ...
TDK Corporation has expanded Tronics’ high-performance MEMS inertial sensor portfolio with the launch of the AXO315®T1, a…
Seyond -- Nio's LiDAR supplier -- will deploy its detection technology in Sweden's transportation infrastructure.
PFAS sind Ewigkeitschemikalien, die sich in der Umwelt kaum abbauen. Sie gelangen in Böden und Gewässer, reichern sich in Pflanzen, Tieren und Menschen an u
Researchers have created a fully integrated and scalable chip device that combines silicon photonics with atomic vapour, achieving precise control of atomic density and paving the way for advanced applications in quantum technologies and atomic spectroscopy.
Global Info Research announces the release of the report Global UWB Proximity Sensor Market 2025 by Manufacturers Regions Type and Application Forecast to 2031 The report is a detailed and comprehensive analysis presented by region and country type and application ...
CTI Connect, a leading provider of wireless broadband and connectivity solutions, delivers robust wireless connectivity for smart factory IoT sensors through
CTI Connect, a leading provider of wireless broadband and connectivity solutions, delivers robust wireless connectivity for smart factory IoT sensors through
Monitoring von Naturgefahren und Bewegungsanalysen im Sport mithilfe innovativer Sensorsysteme: Forscher*innen am Lehrstuhl für Automation und Messtechnik an der Montanuniversität Leoben arbeiten an verteilten und vernetzten Sensorsystemen: Mit dieser Technologie können beispielsweise erste Anzeichen für Rutschungen und Murenabgängen in erosionsgefährdeten, meist ländlichen Bereichen überwacht werden. Durch die Integration von Sensoreinheiten in Schutzbauten wie Steinschlagnetzen lässt sich deren Zustand kontinuierlich überwachen, wodurch frühzeitig vor vermehrten Steinschlagereignissen und Murenabgängen gewarnt werden kann. Die neuartigen Sensor-Systeme können im Sinne des Gefahrenschutzes aber auch in Staumauern, an Brücken oder Gebäuden zur Anwendung kommen. Eine andere Anwendung der entwickelten Technologie ist der Sport: Bewegungssensoren können hier Performance-Daten von Sportlern etwa während des Schwimmens aufzeichnen, analysieren und auswerten.
The event – jointly organized by MCL and Montanuniversität Leoben, Chair of Automation and Measurement on November 27, 2025 brought together a dedicated audience from academia and industry to exchange ideas and showcase innovations for wireless sensor nodes. We discussed emerging technologies in integrated sensors, edge computing, low power design, IoT system integration as well as application requirements. The inspiring presentations and demonstrations highlighted how research and collaboration can drive the next generation of smart, connected systems.A big thank you to all presenters, partners, and participants for sharing their insights and helping strengthen Austria’s position as a hub for wireless sensor nodes. Today’s exchange of ideas will shape tomorrow’s solutions. ***Die Veranstaltung vom 27. November 2025 brachte führende Köpfe aus Wissenschaft und Industrie zusammen, um Ideen auszutauschen und Innovationen im Bereich autonomer Sensorsysteme zu präsentieren. Das MCL ist stolz darauf, das Symposium gemeinsam mit der Montanuniversität Leoben organisiert zu haben. Im Fokus standen neue Entwicklungen bei integrierten Sensoren, Edge Computing, energieeffizientem Design und der Integration von IoT-Systemen – mit eindrucksvollen Beiträgen, die zeigen, wie Forschung und Zusammenarbeit die nächste Generation smarter, vernetzter Systeme vorantreiben.Ein großes Dankeschön an alle Vortragenden, Partner und Teilnehmer:innen für ihre Beiträge und den offenen Austausch. Unser gemeinsames Ziel war es auch die Rolle Österreichs als Hotspot für fortschrittliche Sensor- und IoT-Technologien zu stärken – die diskutierten Ideen werden die Lösungen von morgen gestalten.
RFID Smart Cabinets Market reached US 935 53 Million in 2023 and is expected to reach US 2 081 23 Million by 2033 growing at a CAGR of 10 2 during the forecast period 2024 2033 Initial investment for RFID ...
The growing volume of data generated by Internet of Things (IoT) devices requires real-time processing architectures that can overcome the latency and bandwidth limitations of centralized cloud infrastructures. Fog computing provides a viable alternative by bringing computational resources closer to end users. This paper presents a fog-based architecture tailored to real-time recommendation systems in a smart shopping mall scenario. The system leverages container-based virtualization using Docker, orchestrated by Kubernetes, and deployed on lightweight fog nodes such as Raspberry Pi boards. We detail the configuration of the infrastructure, its hierarchical deployment, and evaluate its feasibility using performance indicators such as data transfer time and dynamic container management. Results show that the proposed infrastructure achieves low-latency responses and supports concurrent mobile user interactions, validating its effectiveness for real-world fog-based applications.
The Ultra Wideband UWB Market is entering a high growth phase as demand surges for precise indoor positioning low power communication and secure device to device connectivity With rapid expansion across smartphones automotive systems asset tracking and IoT devices UWB ...
Summary Cloud computing has enabled the accumulation, processing, and review of large volumes of Internet of Things (IoT) data in a more efficient manner. Cloud offerings such as Software as a Service, Infrastructure as a Service, and Platform as a Service are accessible across private, hybrid, public, and community cloud environments. This paper presents a detailed study of cloud computing on IoT with emphasis on privacy concerns for both technologies. The paper examines how cloud computing and IoT have common features and explores the benefits of their union. Furthermore, paper highlights the offering of cloud being used for computing purposes in IoT and how it has the potential to be used to improve its function. The cloud‐based IoT architecture is composed of perception, network, middleware, and application layers that collect, process, and manage data gathered from IoT devices. This data is then used to add value to end‐users. Message Queuing Telemetry Transport, Constrained Application Protocol, Advance Message Queueing Protocol, and Hypertext Transfer Protocol are some of the various cloud‐based IoT standards and protocols. This research paper also explores the various potential use cases of this technology in health care, transportation, smart homes, and agriculture, as well as the challenges involved in integrating IoT with the cloud. The research paper presents two case studies that illustrate the application of cloud architecture that is IoT based on intelligent environment home automation and industrial IoT optimization. The paper concludes by outlining the potential of cloud computing applications in IoT and highlighting future scope in this emerging technology.
In this paper, we explore and validate the feasibility of using electroencephalography (EEG) based brain-computer interfaces (BCIs) to issue basic control commands to unmanned aerial vehicles (UAVs). We focus on integrating human cognitive motor commands with Internet of Things (IoT) devices, enabling hands-free UAV control. In our approach, neural signals captured during motor imagery of a right-hand upward movement and a left-hand downward movement are translated into discrete UAV instructions (conceptually analogous to "hover" and "land" commands). EEG data were acquired from a 14-channel Emotiv Epoc X headset worn by 10 participants, and features such as band power in key frequency bands were extracted. A lightweight decision tree classifier was trained and evaluated in a leave-one-participant-out (LOPO) cross-validation scheme to assess how well the model generalizes across individuals. The results indicate that certain participants can achieve classification accuracies above 65% for the two mental commands, although average accuracy across all subjects was modest (~55%). These findings highlight both the promise and the challenges of EEG-based hands-free drone control. They demonstrate the potential of neural interfaces as a bridge between human thought and machine action in IoT contexts, while also underscoring the need for improved signal processing and personalization to handle inter-subject variability. This work lays important groundwork for more advanced BCI-driven UAV control frameworks, aiming toward intuitive human-IoT interactions in high-impact domains.
The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including communication bottlenecks, single points of failure, and privacy vulnerabilities when processing distributed consumer data. We propose SwarmSense-DNN, a novel decentralized neural framework employing swarm intelligence for secure, cooperative anomaly detection across distributed IoT environments. The framework integrates autonomous agents with deep neural networks to form a self-organizing defense system that detects evolving anomalies without centralized coordination. It utilizes hierarchical federated learning with graph neural networks and attention mechanisms to capture local and global anomaly behaviors while ensuring data privacy. Extensive experiments demonstrate SwarmSense-DNN’s superior performance: it achieves 95.44% average detection accuracy across five benchmark datasets while reducing communication overhead by 67%. The framework maintains robust resilience against adversarial threats through differential privacy safeguards and demonstrates strong fault tolerance under node failures and AI-enabled attacks.
This paper describes a real-time Extended Reality (XR) Heart Twin based on ECG IoT measurements from wearable devices. Recent research has highlighted the importance of non-Euclidean features, such as wavelet graphs and heart meshes, in conveying information about a user's condition and enabling effective visualization in XR interfaces. We propose an end-to-end architecture to generate an XR Heart Twin from signals acquired by wearable devices. The XR Heart Twin architecture includes IoT communication protocols and middleware for data processing, extending to a web-based XR visualization tool that presents up-to-date features characterizing the user's condition. The proposed architecture enables a scalable monitoring solution suitable for cloud deployment. Examples of outputs presented via the XR interface are shown using ECG signals from publicly available datasets, processed in real time to extract XRrelevant heart features. This approach enables continuous user monitoring through a responsive XR dashboard. Experimental results demonstrate how an XR Heart Twin based on IoT measurements can be developed for healthcare systems using automated deployment capabilities on modern cloud platforms.
Chronic stress significantly affects cardiovascular, psychological, and immune health, and contributes to conditions such as hypertension and depression. Recent advances in wearable technology, such as electrocardiogram (ECG) sensors, have enabled continuous, non-invasive monitoring of physiological stress responses. This paper introduces CardioMind, a lightweight deep learning model designed for real-time stress detection using ECG data. It processes short ECG segments to extract heart rate variability (HRV) features across the time, frequency, and non-linear domains. To improve generalization across individuals, we propose subject-specific baseline normalization based on resting states. The model was trained and evaluated on the WESAD dataset, a widely used benchmark for wearable stress detection. CardioMind achieved strong performance across subjects, reaching an average accuracy of 90.8% using leave-one-subject-out validation. Its low resource requirements and real-time processing make it a strong candidate for integration into Internet of Things (IoT)-enabled wearable devices for early stress detection and mental health support. To the best of our knowledge, CardioMind is among the first models to integrate robust HRV-based features with subject-specific normalization in a lightweight architecture suitable for real-world, wearable deployment.
Efficient and evenly distributed irrigation is a crucial factor in greenhouse seedling cultivation. However, conventional sprayers utilization is often associated with water wastage and uneven water distribution. In this study, an IoTbased automatic plant-watering robot was designed and developed, which controllable via Arduino Cloud and equipped with an automatic push button to enhance operational flexibility. The robot development was performed using prototype-based design approach. The robot was built using an ESP32 as the main microcontroller, a 12 V water pump, an L298N motor driver, and a push button used as a motion limit sensor. The results demonstrated that water usage was more efficient with the watering robot, achieving savings of $\mathbf{8 1. 6 7 \%}$ compared to the conventional sprayer method. The watering process performed by the robot was proven to be more controlled and evenly distributed, although slightly higher moisture levels were observed in the center area compared to the left and right sides. In the watering time evaluation, 2 minutes were required by the robot to match the volume of water dispensed by the sprayer in 1 minute, due to the intermittent watering pattern employed by the robot. These findings highlight potential application of the proposed technology in greenhouse seedling cultivation, thus promoting better trade-off between sustainability and economic benefits in the agriculture sector.
In a vulnerable environment, an IoT device with limited resources poses a significant security threat. As IoT networks become more complex, efficiency, scalability, and adaptability become more important. A lightweight IDS, driven by machine learning, is proposed for IoT environments in this paper. A proposed approach utilizes a combination of models such as Decision Trees, K-Nearest Neighbors, Support Vector Machines, and Multi-Layer Perceptrons, as well as feature selection and traffic modelling techniques, to detect intrusions accurately and efficiently. Benchmark datasets (KDD-99, NSL-KDD, and UNSW-NB15) are used to validate the system, demonstrating its competitive performance across a variety of attack categories.
Wireless sensor networks (WSNs) are critical for industrial IoT, healthcare, and environmental monitoring, yet limited energy resources constrain their reliability and longevity. This paper presents a hybrid reinforcement learning framework to optimize simultaneous wireless information and power transfer (SWIPT) in MIMO-enabled WSNs, enabling energy-autonomous and sustainable sensing. By integrating Sequential Parametric Convex Approximation (SPCA) with SARSA (State–Action–Reward–State–Action) and Qlearning, the framework employs power-splitting and time-switching techniques to enhance routing efficiency and energy harvesting in dynamic sensor fields. A nonlinear energy harvesting model captures practical circuit constraints, such as diode sensitivity and leakage currents, improving prediction accuracy. Simulations in a 1000×1000 m² area with distributed sensor nodes show up to 20% improvement in energy efficiency and 15% increase in data throughput over baseline methods. These advancements position the framework as a transformative solution for energy-constrained WSNs in 5G/6G-enabled IoT and smart sensor applications, paving the way for sustainable large-scale deployments.
New Jersey US State The global Ultra Wideband UWB Module market in the Information Technology and Telecom category is projected to reach USD 5 50 billion by 2031 growing at a CAGR of 18 5 from 2025 to 2031 With ...
New Jersey US State The global Rain Rfid Solutions market in the Information Technology and Telecom category is projected to reach USD 3 5 billion by 2031 growing at a CAGR of 15 5 from 2025 to 2031 With rising ...
New Jersey US State The global Iot Smart Sensors Consumption market in the Information Technology and Telecom category is projected to reach USD 28 3 billion by 2031 growing at a CAGR of 12 3 from 2025 to 2031 With ...
Use code ONLINE30 to get 30 off on global market reports and stay ahead of tariff changes macro trends and global economic shifts How Large Will the Smart Lamps Market Size By 2025 In recent times the smart lamps market ...
The latest research publication on the Global Veterinary IoT Solutions Market 2025 2032 offers a comprehensive and data driven analysis of the industry landscape The report delivers actionable insights into the market s evolving dynamics backed by in depth quantitative ...
Newsletter
By signing up I agree to the terms of service and privacy policy.
