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As the automotive industry transitions to electric vehicles (EVs) and away from traditional CO₂-producing cars and vans, several fundamental obstacles must be overcome from a vehicle development point of view, to make EVs even more attractive to the consumer.
Würth Elektronik offers its WE-MXGI – a power inductor with unprecedented properties. Extremely low core losses, combined with the lowest winding resistance (RDC value) of all comparable products on the market to date, give rise to maximum efficiency in DC/DC converter applications.
The Worldwide Discrete Capacitors Market 2024 Research Report presents a professional and complete analysis of the Global Discrete Capacitors Market in the current situation This report includes development plans and policies along with Discrete Capacitors manufacturing processes and price structures ...
Most of the intrusion detection methods in computer networks are based on traffic flow characteristics. However, this approach may not fully exploit the potential of deep learning algorithms to directly extract features and patterns from raw packets. Moreover, it impedes real-time monitoring due to the necessity of waiting for the processing pipeline to complete and introduces dependencies on additional software components. In this paper, we investigate deep learning methodologies capable of detecting attacks in real-time directly from raw packet data within network traffic. We propose a novel approach where packets are stacked into windows and separately recognised, with a 2D image representation suitable for processing with computer vision models. Our investigation utilizes the CIC IDS-2017 dataset, which includes both benign traffic and prevalent real-world attacks, providing a comprehensive foundation for our research.
Microsoft's AI Red Team employs a hacker's mindset to identify and mitigate potential generative AI risks, combining cybersecurity and societal-harm assessments. (Read More)
Berlin, 24. Juli 2024Die NIS2-Richtlinie der EU soll angesichts einer zunehmenden Bedrohung durch Cyberattacken die Cybersicherheit der europäischen Wirtschaft stärken und auf ein einheitlich hohes Niveau
USA News Group Commentary Issued on behalf of Scope AI Corp. VANCOUVER, BC, July 24, 2024 /PRNewswire/ -- USA News Group - The telecom market just witnessed a security breach nightmare
In an era where the internet connects virtually every aspect of our lives, the security of information systems has become paramount. Safeguarding critical databases containing private and commercial
Ubiquitous wireless technologies like Wi-Fi, Bluetooth, and 5G rely on radio frequency (RF) signals to send and receive data. A new prototype of an energy harvesting module—developed by a team led by scientists from the National University of Singapore (NUS)—can now convert ambient or "waste" RF signals into direct current (DC) voltage. This can be used to power small electronic devices without the use of batteries.
In this article, Electronic Specifier will asnwer the question - what is gallium nitride (GaN)? Also exploring where its origins lie, and how it’s being utilised today.
Homomorphic encryption is one of the most secure solutions for processing sensitive information in untrusted environments, and there have been many recent advances toward its efficient implementation for the evaluation of approximated arithmetic as well as linear and arbitrary functions. The TFHE scheme [Chillotti et al., 2016] is the current state-of-the-art for the evaluation of arbitrary functions, and, in this work, we focus on improving its performance. We divide this paper into two parts. First, we review and implement the main techniques to improve performance or error behavior in TFHE proposed so far. Then, we introduce novel improvements to several of them and new approaches to implement some commonly used procedures. We also show which proposals can be suitably combined to achieve better results. We provide a single library containing all the reviewed techniques as well as our original contributions. Among the techniques we introduce, we highlight a new method for multi-value bootstrapping based on blind rotation unfolding and a faster-than-memory seed expansion, which introduces speedups of up to 2 times to basic arithmetic operations.
Die EU-weite Netzwerks- und Informationssicherheitsrichtlinie und ihre österreichische Umsetzung verpflichten zur Absicherung der IT-Lieferkette
For the first time, German research partners have demonstrated the practical implementation of an aluminum nitride-based value chain for power semiconductors, from...
Deutsche Forschungspartner demonstrieren erstmals die praktische Umsetzung einer Aluminiumnitrid-basierten Wertschöpfungskette für Leistungshalbleiter, vom Grundmaterial bis zur Bauelementfertigung.
/PRNewswire-PRWeb/ -- Chroma, a world leader in automated test, is excited to announce the launch of its groundbreaking bidirectional DC power supply, model...
Der chinesische Autobauer BYD baut im südungarischen Szeged ein Werk und will dafür Teile von österreichischen und vor allem steirischen Zulieferern beziehen. Rund 30 Unternehmen, darunter Größen wie Magna, AVL und AT&S, sind am Dienstag nach Wien eingeladen und wollen mit BYD ins Gespräch und natürlich ins Geschäft kommen. Ab 2025 sollen BYD-Fahrzeuge in Ungarn produziert werden, bestätigte die chinesische Automarke einen entsprechenden Bericht der "Kleinen Zeitung".
Texas Instruments recently introduced six power modules designed to improve power density, enhance efficiency and reduce EMI.
OUTLINE The SiC device market is expected to reach nearly US$10 billion by 2029, at a 25% CAGR 23-29. SiC’s
It was earlier reported that Google's parent company Alphabet was in advanced talks to acquire the firm. Wiz CEO: 'While we are flattered by offers we have received, we have chosen to continue on our path to building Wiz'
Volkswagens Fahrzeugplattform SSP entwickelt sich langsam - der Zulieferer der Wechselrichter steht nun fest. Gefertigt werden sie in Europa. (Elektromobilität, Elektroauto)
The implementation of cryptographic authentication in medical and healthcare products is critical to patient health and privacy, as well as user security, and applies to a wide range of different diagnostic and monitoring equipment Read the article complete on EO519The post The importance of cryptographic authentication in medical devices appeared first on Elettronica Plus.
NXP Semiconductors GD3162 Advanced IGBT/SiC Gate Drivers are designed to drive SiC and IGBT modules in xEV traction inverters. Available from Mouser Electronics
Nachricht: Texas Instruments Aktie: Leistungselektronik-Portfolio erweitert - 19.07.24 - News
The rapid advancement of quantum computing poses a significant threat to manycurrent security algorithms used for secure communication, digitalauthentication, and information encryption. A sufficiently powerful quantumcomputer could potentially exploit vulnerabilities in these algorithms,rendering data in transit insecure. This threat is expected to materializewithin the next 20 years. Immediate transition to quantum-resilientcryptographic schemes is crucial, primarily to mitigate store-now-decrypt-laterattacks and to ensure the security of products with decade-long operationallives. This transition requires a systematic approach to identifying andupgrading vulnerable cryptographic implementations. This work developed aquantum assessment tool for organizations, providing tailored recommendationsfor transitioning their security protocols into a post-quantum world. The workincluded a systematic evaluation of the proposed solution using qualitativefeedback from network administrators and cybersecurity experts. This feedbackwas used to refine the accuracy and usability of the assessment process. Theresults demonstrate its effectiveness and usefulness in helping organizationsprepare for quantum computing threats. The assessment tool is publiclyavailable at (
IoT and quantum computing promises transformative advancements in various technological domains, including bolstering IoT security protocols.
18.07.2024 - In the face of escalating climate crises and a dramatic rise in global energy demands, governments and industries are committing to ambitious climate goals aimed at mitigating environmental impact and securing a sustainable future. Key to these ... Seite 1
Optimizing power efficiency and density in power electronics with real-time MCUs
Advanced Driver Assistance Systems (ADAS) technologies are key to achieving the industry’s hoped-for vision of the “uncrashable car”.The post Leveraging Semiconductor Technology to Build the “Uncrashable Car” of the Future appeared first on Power Electronics News.
Nachricht: IBM Aktie: Cybersicherheit und KI-Fokus treiben Wachstum - 18.07.24 - News
(Bild: Dall-E / KI-generiert) Die Comforte AG bietet innovative, quantenresistente Tokenisierungs- und Verschlüsselungsfunktionen für hohe Datensicherheit in Unternehmen.
Wireless sensor networks aim to collect environmental data for monitoring and decision-making purposes, often relying on low-power sensor nodes with limited computational resources, which makes it challenging to secure these networks using costly cryptographic primitives. Moreover, the emergence of quantum computers threatens traditional cryptographic schemes, and postquantum cryptographic schemes have been proposed as a solution. This work focuses on studying the behavior and performance of different combinations of postquantum digital signatures and key exchange mechanisms in wireless sensor networks where the number of nodes is large, including CRYSTALS-Dilithium, Falcon, SPHINCS+, CRYSTALS-Kyber, NTRU, and Saber, with a focus on their interaction and impact on network scalability. Simulation models are employed to generate metrics related to network functionality, application quality, and scalability with dynamic node behavior. The findings provide insights into the behavior of different combinations of postquantum schemes in wireless sensor networks and contribute to understanding their suitability and potential challenges in real-world deployments. In particular, the combination of Falcon and CRYSTALS-Kyber seems to be the most promising candidate for deploying secure sensor networks in the future. However, other combinations can present a better performance depending on their interactions with the parameters of the final application.
Eine für Intel Prozessor herausgegebene Sicherheitswarnung hat vom BSI ein Update erhalten. Wie sich betroffene Anwender verhalten sollten, erfahren Sie hier.
The new security classification is valid for three years.
FREMONT, CA / ACCESSWIRE / July 16, 2024 / Aehr Test Systems (NASDAQ:AEHR), a worldwide supplier of semiconductor test and burn-in equipment, today announced it has received $12.7 million in orders from
With multiple investments announced by players, the Power SiC wafer front-end equipment market will peak at $5 billion in 2026. Besides the strong growth in the tool market, there are some concerns about future over-capacity and manufacturing challenges for technology transition.
In an interview with Power Electronics News, Katrin Feurle, Senior Director Product Management SiC at Nexperia, and Carlos Castro, Vice President & General Manager GaN at Nexperia, will provide insights on this relevant investment plan. The post WBG Materials Drive Semiconductor Research and Manufacturing for Future Technologies appeared first on Power Electronics News.
The new PCB relay provides the lowest contact resistance available on the market and produces low load terminal heat rise when in operation.The post Omron launches high-power PCB relay for faster and more compact EV charger wallboxes appeared first on Power Electronics News.
Kulmbach (www.aktiencheck.de) - AIXTRON-Aktienanalyse von "Der Aktionär":Michael Schröder vom Anlegermagazin "Der Aktionär" nimmt in einer aktuellen Aktienanalyse die Aktie der AIXTRON SE (ISIN: DE000A0WMPJ6, WKN: A0WMPJ, Ticker-Symbol: AIXA, NASDAQ OTC-Symbol: AIXXF) unter die Lupe.Vorstand und Analysten würden den Blick nach der Umsatz- und Gewinnwarnung bereits wieder vorne richten und auf die Rückkehr zu einer positiveren Auftragsdynamik setzen. [mehr]
Die Verbreitung Ransomware-as-a-Service und die starke Zunahme von Supply-Chain-Angriffen im vergangenen Jahr führen laut Cyber Security Report von CANCOM zu einer erhöhten Anzahl und gesteigerten Raffinesse von Cyberangriffen. Im Report betonen IT-Security-Experten die Dringlichkeit verbesserter Schutzmaßnahmen und erläutern konkrete Strategien zur Bekämpfung dieser Bedrohungen.
EQS-Media / 16.07.2024 / 07:30 CET/CESTHerzogenrath, 16. Juli 2024 – AIXTRON (FSE: AIXA) unterstützt Nexperia beim Ausbau seiner 200mm-Volumenproduktion für Siliziumkarbid...
ALBAWABA - Google is closing close on what may be its biggest acquisition to date: the purchase of an Israeli cybersecurity startup for up to $23 billio
(Bild: frei lizenziert) Erfahren Sie, wie Large Language Models die Cyberkriminalität beeinflussen können und welche Risiken sie mit sich bringen. Lesen Sie mehr über die Nutzung von KI in der Cyberwelt.
Fast ein Drittel (31 Prozent) der OT-Unternehmen meldete im vergangenen Jahr mehr als sechs Sicherheitsvorfälle, gegenüber elf Prozent im Vorjahr.
L&T Semiconductor Tech, a subsidiary of Indian conglomerate Larsen & Toubro, plans to focus on semiconductor IC design in its initial phase, followed by the development of a Gallium Nitride (GaN)/ Silicon Carbide (SiC) fabrication facility in the second phase.
A normally-off GaN MOSFET is successfully fabricated by using the selective regrowth technique (SRT) with regrown AlGaN layer on source/drain (S/D) re…
The aim is to integrate commercial equipment into military space operations, including satellites and other hardware.
In response to the escalating frequency and complexity of cyber threats, the imperative need to enhance cybersecurity measures is evident. This study explores the potential of machine learning (ML) algorithms in advancing threat detection and classification by automating the identification of security incidents. The abstract presents a thorough assessment of various ML algorithms, including decision trees, support vector machines, and neural networks, for their efficacy in detecting and categorizing cyber threats. The evaluation encompasses a diverse dataset featuring different cyber-attack scenarios and incorporates multiple features such as network traffic patterns, system logs, and user behavior. Performance metrics, such as training accuracy and testing accuracy, are employed to assess the effectiveness of each algorithm. Furthermore, the study investigates the impact of feature selection techniques and model optimization strategies on algorithm performance. The results underscore the capability of ML algorithms to accurately identify and categorize cyber threats, providing valuable insights into their strengths and limitations. This research contributes to the field of cybersecurity by facilitating the development of practical and robust ML-based solutions, ultimately reinforcing cyber defence mechanisms against evolving threats.
LoRa enables long-range communication for Internet of Things (IoT) devices, especially those with limited resources and low power requirements. Consequently, LoRa has emerged as a popular choice for numerous IoT applications. However, the security of LoRa devices is one of the major concerns that requires attention. Existing device identification mechanisms use cryptography which has two major issues: (1) cryptography is hard on the device resources and (2) physical attacks might prevent them from being effective. Deep learning-based radio frequency fingerprinting identification (RFFI) is emerging as a key candidate for device identification using hardware-intrinsic features. In this paper, we present a comprehensive survey of the state of the art in the area of deep learning-based radio frequency fingerprinting identification for LoRa devices. We discuss various categories of radio frequency fingerprinting techniques along with hardware imperfections that can be exploited to identify an emitter. Furthermore, we describe different deep learning algorithms implemented for the task of LoRa device classification and summarize the main approaches and results. We discuss several representations of the LoRa signal used as input to deep learning models. Additionally, we provide a thorough review of all the LoRa RF signal datasets used in the literature and summarize details about the hardware used, the type of signals collected, the features provided, availability, and size. Finally, we conclude this paper by discussing the existing challenges in deep learning-based LoRa device identification and also envisage future research directions and opportunities.
London, UK, 2024-Jul-04 — /EPR Network/ — Future Electronics, in collaboration with onsemi and ams OSRAM, recently hosted an exclusive webinar unveiling the
According to the MRI Team s Market Research Intellect the global MEMS Ultrasonic Sensor market is anticipated to grow at a compound annual growth rate CAGR of 11 38 between 2024 and 2031 The market is expected to grow to ...
Available in a thin quad flat no-lead (TQFN) package, the MAX40109 is designed for a range of sensor applications, including force, pressure, temperature, strain gauges, and Wheatstone-Bridge.
The ST1VAFE6AX is ideal for a variety of medical applications, including heart rate, pulse monitoring, electrocardiogram (ECG) and activity tracking.
In contemporary urban environments, efficient traffic management stands as a paramount challenge, necessitating innovative solutions to mitigate congestion, enhance safety, and reduce environmental impact. This paper proposes a Smart Internet of Things (IoT)-assisted Traffic Light Controlling and Monitoring System designed to revolutionize traffic management through real-time data acquisition, analysis, and dynamic control mechanisms. The system integrates edge devices equipped with a variety of sensors, cloud-based infrastructure, and intelligent algorithms to optimize traffic flow at intersections. Leveraging technologies such as AWS IoT, Lambda, and QuickSight, alongside communication protocols like MQTT and HTTP, the system enables seamless device management, secure data transmission, and scalable real-time analytics. Hardware components including microcontrollers, sensors, and actuators facilitate precise data collection, allowing for accurate traffic monitoring and adaptive signal control. Through comprehensive traffic flow analysis, congestion reduction strategies, environmental impact assessments, safety enhancements, and system performance optimizations, the proposed system aims to revolutionize urban traffic management, leading to smoother traffic flow, reduced congestion, improved safety, and enhanced environmental sustainability.
This research studies the application of machine learning to enhance the security of data transport for the. of Things (IoT). Conventional encryption methods might not be adequate in Internet of Things scenarios because of the fluidity and limited resources presented by these contexts. In the course of our research, we make use of fictional Internet of Things data in order to evaluate the effectiveness of machine learning models for anomaly detection, intrusion detection, and data encryption. When it comes to resolving difficulties related to the security of the internet of things (IoT), the findings suggest that machine learning is better to traditional cryptography methodologies. The Internet of Things (IoT) security is going to be strengthened by the introduction of new strategies, dynamic security frameworks, privacy-preserving methodologies, and practical implementations in the near future. It is possible that the implementation of machine learning will make the ecosystem of the Internet of Things (IoT) more safe and efficient, which would, in turn, foster innovation across a wide range of industries.
WESTFORD, Mass., June 28, 2024 /PRNewswire/ -- According to SkyQuest, the global Automotive IoT Market size was valued at USD 102.3 billion in 2022 and is poised to grow from USD 125.32 billion
Chicago, June 28, 2024 (GLOBE NEWSWIRE) -- The global LoRa and LoRaWAN IoT Market size is projected to grow from USD 8.0 billion in 2024 to USD 32.7...
This article delves into the rise of IoT in the AV industry, and how it is transforming various aspects of AV solutions.
The intersection of the Internet of Things (IoT) and the circular economy (CE) creates a revolutionary opportunity to redefine economic sustainability and resilience. This review article explores the intricate interplay between IoT technologies and CE economics, investigating how the IoT transforms supply chain management, optimises resources, and revolutionises business models. IoT applications boost efficiency, reduce waste, and prolong product lifecycles through data analytics, real-time tracking, and automation. The integration of the IoT also fosters the emergence of inventive circular business models, such as product-as-a-service and sharing economies, offering economic benefits and novel market opportunities. This amalgamation with the IoT holds substantial implications for sustainability, advancing environmental stewardship and propelling economic growth within emerging CE marketplaces. This comprehensive review unfolds a roadmap for comprehending and implementing the pivotal components propelling the IoT’s transformation toward CE economics, nurturing a sustainable and resilient future. Embracing IoT technologies, the authors embark on a journey transcending mere efficiency, heralding an era where economic progress harmonises with full environmental responsibility and the CE’s promise.
UWB has been in existence for several years, but it was only a few years ago that it transitioned from a specialized niche to more mainstream applications. Recent market data indicate a rapid increase in the popularity of UWB in consumer products, such as smartphones and smart home devices, as well as automotive and industrial real-time location systems. The challenge of achieving accurate positioning in indoor environments arises from various factors such as distance, location, beacon density, dynamic surroundings, and the density and type of obstacles. This research used MFi-certified UWB beacon chipsets and integrated them with a mobile application dedicated to iOS by implementing the near interaction accessory protocol. The analysis covers both static and dynamic cases. Thanks to the acquisition of measurements, two main candidates for indoor localization infrastructure were analyzed and compared in terms of accuracy, namely UWB and LIDAR, with the latter used as a reference system. The problem of achieving accurate positioning in various applications and environments was analyzed, and future solutions were proposed. The results show that the achieved accuracy is sufficient for tracking individuals and may serve as guidelines for achievable accuracy or may provide a basis for further research into a complex sensor fusion-based navigation system. This research provides several findings. Firstly, in dynamic conditions, LIDAR measurements showed higher accuracy than UWB beacons. Secondly, integrating data from multiple sensors could enhance localization accuracy in non-line-of-sight scenarios. Lastly, advancements in UWB technology may expand the availability of competitive hardware, facilitating a thorough evaluation of its accuracy and effectiveness in practical systems. These insights may be particularly useful in designing navigation systems for blind individuals in buildings.
The wide deployment of the Internet of Things (IoT) necessitates new machine learning (ML) methods and distributed computing paradigms to enable various ML-based IoT applications to effectively process huge amounts of data [...]
(Bild: WangAnQi/iStock) Erfahren Sie, wie IoT-Hersteller mit steigenden Kosten und neuen Geschäftsfeldern umgehen. Lesen Sie mehr über Services, Umsatzmanagement und Trends.
The Internet of Things IoT has revolutionized various industries and logistics is no exception IoT powered logistics involves the integration of IoT technology into the logistics sector to enhance operational efficiency reduce costs and improve customer satisfaction IoT enables real ...
Researchers have utilized AI and IoT voice devices to advance sports training feature recognition, employing sensors for real-time data transmission and analysis. This approach successfully identifies movement patterns and predicts athlete states, enhancing training effectiveness.
GenAI's creative and analytical capabilities, integrated with IoT devices' connectivity and data insights, could lead to remarkable advancements.
Siemens has unveiled a digital twin and AI-powered urban development project within Germany’s capital, Berlin.
Samsung has launched a new credit card with Internet of Things (IoT) features, thanks to its Bluetooth LE connectivity. If ...
According to HTF Market Intelligence the Global Gesture Recognition market to witness a CAGR of 18 8 during the forecast period 2024 2030 The Latest Released Gesture Recognition Market Research assesses the future growth potential of the Gesture Recognition market ...
Exceptional customer experiences are crucial in modern business, requiring CX transformation and robust technical infrastructure.
RAIN Alliance, the non-profit industry organisation supporting the development and adoption of Ultra High Frequency (UHF) Radio Frequency Identification (RFID), has announced the launch of its extensive RAIN RFID Training Programme.
Leveraging IoT technologies to improve efficiency of an operation, address any challenges and increase profitability is happening in numerous industries, and the oil and gas sector is no exception. What IoT in oil and gas looks like is another question. According to a report put out by Berg Insight earlier this year and reported on
(Bild: Infineon) Das Internet der Dinge wird immer wichtiger, doch wie jeder Trend ist auch das IoT mit neuen Herausforderungen verbunden. Edge AI bietet hier einige Vorteile, denn die Technologie kann Daten lokal verarbeiten und unterstützt dadurch Echtzeitanwendungen. Doch auch bei Edge AI sind einige Hürden zu überwinden.
Energous today announced new partnerships with Annukin, Ecobyte, and Peak Technologies to help accelerate adoption of the company’s solutions worldwide....
Forrester identified top emerging technologies in its latest report, highlighting their potential benefits, use cases, and risks for businesses. The post AI,
RFID Tags Market Expected to Reach $15 Billion by 2032 — Allied Market Research
Im Juni 1974 wurde zum ersten Mal ein Barcode auf einem Produkt an einer Supermarktkasse gescannt. Experten erwarten, dass der Code in einigen Jahren abgelöst sein wird.
Many of these features are still pretty novel for Android users.
News Center | Press Releases Magnetic sensors: TDK presents new redundant analog TMR angle sensor for safety-relevant applications ...
Wildlife Society Bulletin, EarlyView.
(Bild: AMA Verband für Sensorik und Messtechnik e.V.) Erfahren Sie mehr über den Gewinner des AMA Innovationspreises auf der Sensor+Test in Nürnberg: Der photonisch integrierte FMCW-Einzelchip-Lidar von Scantinel Photonics GmbH.
The advent of nanotechnology has motivated a revolution in the development of miniaturized sensors. Such sensors can be used for radiation detection, temperature sensing, radio-frequency sensing, strain sensing, and more. At the nanoscale, integrating the materials of interest into sensing platforms can be a common issue. One promising platform is photonic crystal fibers, which can draw in optically sensitive nanoparticles or have its optical properties changed by specialized nanomaterials. However, testing these sensors at scale is limited by the the need for specialized equipment to integrate these photonic crystal fibers into optical fiber systems. Having a method to enable rapid prototyping of new nanoparticle-based sensors in photonic crystal fibers would open up the field to a wider range of laboratories that could not have initially studied these materials in such a way before. This manuscript discusses the improved processes for cleaving, drawing, and rapidly integrating nanoparticle-based photonic crystal fibers into optical system setups. The method proposed in this manuscript achieved the following innovations: cleaving at a quality needed for nanoparticle integration could be done more reliably (≈100% acceptable cleaving yield versus ≈50% conventionally), nanoparticles could be drawn at scale through photonic crystal fibers in a safe manner (a method to draw multiple photonic crystal fibers at scale versus one fiber at a time), and the new photonic crystal fiber mount was able to be finely adjusted when increasing the optical coupling before inserting it into an optical system (before, expensive fusion splicing was the only other method).
Given the global population ages, the traditional medical system must change. Telemedicine combines the introduction of devices with sensors, software…
In an era marked by rapid technological advancement in biomedical engineering, a groundbreaking development is set to revolutionize our approach to drug testing and disease modeling. Researchers from
CEA-Leti has developed a process for combining hybrid bonding and high density through-silicon vias (TSVs) to add AI into CMOS image sensors.