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(Bild: metamorworks - stock.adobe.com) Erfahren Sie, wie ein Zero Trust-Framework den Schutz für geschäftskritische Systeme erhöht und wie IT-Verantwortliche die Balance zwischen Sicherheit und Praktikabilität wahren können.
Der neueste Marktforschungsbericht zur Cybersicherheit im Automobilbereich, der von Wertmarktforschung veröffentlicht wurde, bietet eine ausführliche Analyse,...
According to the MRI Team s Market Research Intellect the global SiC MOSFET Bare Die market is anticipated to grow at a compound annual growth rate CAGR of 13 55 between 2024 and 2031 The market is expected to grow ...
Infineon's customers are already eager to learn about 300-mm GaN's impact on AI applications.The post Infineon’s Hanebeck Discusses ‘Game Changing’ GaN Technology appeared first on EE Times Asia.
Researchers at MIT have developed a groundbreaking security protocol that could transform the way sensitive data is handled during cloud-based deep-learning computations. This new system uses the quantum properties of light to ensure that data remains secure, making it particularly valuable for industries like healthcare, where privacy is a major concern. Deep-learning models, which are […]
This research investigates the impact of Internet of Things (IoT) applications on decision-making capacity (DMC) development in Corporate Sustainable …
Accurate and robust positioning has become increasingly essential for emerging applications and services. While GPS (global positioning system) is widely used for outdoor environments, indoor positioning remains a challenging task. This paper presents a novel architecture for indoor positioning, leveraging machine learning techniques and a divide-and-conquer strategy to achieve low error estimates. The proposed method achieves an MAE (mean absolute error) of approximately 1 m for latitude and longitude. Our approach provides a precise and practical solution for indoor positioning. Additionally, some insights on the best machine learning techniques for these tasks are also envisaged.
Mehr Hightech im Skispringen: Die FIS führt ab der kommenden Saison eine neue Anzug-Regel ein. Kontrolliert wird diese mittels Mikrochips.
The federal government has partnered with Mastercard to support 1million farmers across the continent through financial inclusion and contactless payment.
Rund 25 Millionen Euro werden in den Komplex für bis zu 160 Forschende in der Sandgasse investiert. Auch IT-Start-ups sollen dort Platz finden
According to Value Market Research the global demand for the RFID Market size is projected to experience substantial growth anticipated to reach a market size of approximately USD 59 88 billion by 2032 up from USD 20 38 billion in ...
According to Value Market Research the global demand for the Internet of Things IoT in healthcare Market Size is expected to experience remarkable growth with the market size projected to reach approximately USD 1 026 77 billion by 2032 up ...
Für die Umsetzung der EU-IT-Securityrichtlinie NIS2 haben Bundesregierung und Innenministerium eine Klatsche kassiert. Mehr als berechtigt, findet Manuel Atug.
The Europe IoT market size was valued at 2 19 billion in 2021 and is projected to reach 12 30 billion by 2031 growing at a CAGR of 19 0 from 2022 to 2031 The cloud based segment is expected ...
With its new all-in-one solution »Secora Pay Bio« for biometric payment cards Infineon wants to enhance convenience and trust of biometric contactless payment. The solution uses a SoC secure element and a fingerprint sensor within a Biometric Coil on Module package.
The VGaN device leverages the advantages of the GaN HEMT for use in novel applications, such as overvoltage protection in a BMS.
ictkSchweizJubiläumSwiss InfosecDas auf Informationssicherheit, Datenschutz und IT-Sicherheit fokussierte Beratungs- und Ausbildungsunternehmen Swiss Infosec mit Sitz im innerschweizerischen Sursee ist seit 35 Jahren für das Thema Sicherheit sozusagen on fire. Der letzte "Meet Swiss Infosec!" Event, der diese Woche im Radisson Blu Hotel in Zürich Flughafen über die Bühne ging, stand diesmal daher ganz im Zeichen dieses für die kurzlebige IT-Branche ungewöhnlichen Jubiläums.
The technique leverages quantum properties of light to guarantee security.
ictkMalwareKünstliche IntelligenzDas Threat Research-Team von HP entdeckte kürzlich eine umfangreiche und ausgefeilte Chrome-Loader-Kampagne, die über Malvertising verbreitet wird und zu professionell aussehenden gefälschten PDF-Tools führt. Zudem habe das Team Cyberkriminelle identifiziert, die bösartigen Code in SVG-Bilder einbetten, wie aus dem neuen HP Wolf Security Report hervorgeht, den HP auf soeben auf der Hausmesse "Imagine" präsentiert hat.
Beim ITWelt.at Roundtable diskutierten drei IT-Experten und -Expertinnen über die Herausforderungen und Chancen von NIS2. Nachfolgend die gesammelten Statements von Roswitha Bachbauer, Team Leader System Integration – Information Security Consulting & Management bei CANCOM Austria.
by Sergio Governale TrueScreen, a cybersecurity company leader in the acquisition, signature and management of data with legal and evidentiary value, has
(Bild: Dall-E / KI-generiert) Eine Schwachstelle mit einem CVSS von 10 kann GitLab-Umgebungen gefährden. Admins sollten schnellstmöglich auf die neuesten Versionen aktualisieren.
Tamnoon has raised $12 million in Series A funding for its Managed Cloud Security Remediation service.The post Tamnoon Raises $12 Million for Cloud Security Remediation Service appeared first on SecurityWeek.
New investments to support global expansion and technological advancements Quantum Systems, a key innovator in drone technology, has successfully raised over €100 million through an additional Series B funding round. The latest investors, Notion Capital and Porsche Automobil Holding SE (Porsche SE), have joined existing stakeholders in demonstrating their support for the company’s growth and …
Smaller, more efficient SiC products to ramp-up in volumes through 2025 across 750-V and 1200-V classes for mid-size and compact EVs.
Google reicht bei der EU Beschwerde gegen Microsoft ein Cloud-Geschäft
Mental distress-induced imbalances in autonomic nervous system activities adversely affect the electrical stability of the cardiac system, with heart rate variability (HRV) identified as a related indicator. Traditional HRV measurements use electrocardiography (ECG), but impulse radio ultra-wideband (IR-UWB) radar has shown potential in HRV measurement, although it is rarely applied to psychological studies. This study aimed to assess early high levels of mental distress using HRV indices obtained using radar through modified signal processing tailored to reduce phase noise and improve positional accuracy. We conducted 120 evaluations on 15 office workers from a software startup, with each 5 min evaluation using both radar and ECG. Visual analog scale (VAS) scores were collected to assess mental distress, with evaluations scoring 7.5 or higher classified as high-mental distress group, while the remainder formed the control group. Evaluations indicating high levels of mental distress showed significantly lower HRV compared to the control group, with radar-derived indices correlating strongly with ECG results. The radar-based analysis demonstrated a significant ability to differentiate high mental distress, supported by receiver operating characteristic (ROC) analysis. These findings suggest that IR-UWB radar could be a supportive tool for distinguishing high levels of mental stress, offering clinicians complementary diagnostic insights.
When LoRaWAN networks are deployed in complex environments with buildings, jungles, and other obstacles, the communication range of LoRa signals experiences a notable reduction, primarily due to multipath propagation, fading, and interference. With the flight advantage of height, mobility, and flexibility, UAV can provide line-of-sight (LOS) communication or more reliable communication in many scenarios, which can be used to enhance the LoRaWAN network’s performance. In this paper, a novel UAV-assisted LoRaWAN network is designed and implemented. Specifically, a UAV-assisted LoRaWAN network system architecture is proposed to improve the LoRaWAN network coverage and communication reliability, in which the UAV architecture of “UAV + Remote Controller + Server” is combined with the traditional LoRaWAN architecture of “End-Device + Gateway + Server”. Then, the implementation of the UAV gateway and the remote controller relay is presented, which play the important role of forwarding LoRaWAN frames transparently in our proposed architecture. In detail, the UAV gateway is developed based on the UAV’s PSDK and classical LoRa packet forwarder, and the remote controller relay is developed based on UAV’s MSDK. The experimental results show that the network coverage and communication reliability of our proposed LoRaWAN network have been significantly improved, effectively supporting a wide range of LoRaWAN applications. Specifically, when the end-device is deployed 1.3 km away with numerous obstacles in the propagation environment, with the UAV altitude advantage and the remote controller’s relay capability, the proposed system achieved an SNR of 5 db and an RSSI of −80 dbm with a packet loss rate of 3%. In comparison, the ground gateway only achieved an SNR of −16 db and an RSSI of −113 dbm with a packet loss rate of 73%.
(Bild: KN Studio – stock.adobe.com / KI-generiert) Laut UN-Organisation für Telekommunikation (ITU) gehört Deutschland zu den sichersten Ländern in Sachen Cybersicherheit. Erfahren Sie mehr darüber.
In today’s Digital World, cybersecurity threats are becoming more advanced and unpredictable. The rising power of artificial intelligence (AI) and machine learning (ML) has given both attackers and…
Founded in 2017, Enginsight provides cybersecurity solutions designed for small and medium-sized businesses (SMEs).
SmartSiC to accelerate silicon carbide adoption in next-gen EVs
Verizon Business is supplying German automotive startup Vay Technology with 5G and IoT airtime for its rental fleet of remotely operated EVs in Las Vegas.
Beim ITWelt.at Roundtable diskutierten drei IT-Experten und -Expertinnen über die Herausforderungen und Chancen von NIS2. Nachfolgend die gesammelten Statements von Udo Schneider, Governance, Risk & Compliance Lead, Europe bei Trend Micro.
… conditions by controlling their Samsung air conditioners, air purifiers … conditioners, and more. Samsung allows access to those … -compliant infotainment units, Samsung is therefore going to … Apple's old trick of making everything itself. But Samsung …
ST is introducing its fourth generation STPOWER SiC MOSFET techno,ogy which is optimised for traction inverters. Devices will be made available in 750V
The government on Wednesday launched the first phase of its flagship US$14 billion stimulus handout scheme, which will eventually see an estimated 45 million people receive 10,000 baht each, saying it would spark economic activity.
Critical infrastructure systems have been preyed on by cyber criminals that target to disrupt their operations and national security. Among the most nefarious attacks, the Distributed Denial of Service (DDoS) attack is wreaking havoc on the Telecommunications sector. This paper invests in the vision that Artificial Intelligence (AI) plays an important role in shoring up the cybersecurity of critical infrastructure providers by detecting and classifying malicious engagements. In this respect, we propose an efficient and dependable DDoS specialized intrusion section system (IDS). The proposed system is empowered by Graph Convolutional Networks (GCN), a deep learning technique, which is capable of capturing the topological and statistical information between the attack network and the victim network. The results show that the proposed GCN IDS can detect and classify multiple variations of DoS with a high confidence level.
Munich, Germany – Infineon Technologies AG expands its OptiMOS™ 6 MOSFET portfolio with the new 135 V and 150 V
Axus Technology, a leading global provider of chemical mechanical planarization (CMP) equipment, critical for semiconductor and compound semiconductor fabrication, today announced its flagship Capstone CS200 platform tools offer the industry’s lowest
MCL was part of the European research project iRel40 (www.iRel40.eu), where it worked together with partners from 13 European member states on pushing the frontiers of reliability for microelectronics. Selected project outcomes were now published in a Book by Springer ( The book also features work of our colleagues Christoph Siegl and Manfred Mücke investigating a Google toolchain (TFLite for Microcontrollers) to execute machine learning algorithms on microcontrollers. Their work contributes to more effective design of condition monitoring systems. An early version of their work is also available on für Buch “Recent Advances in Microelectronics Reliability”Das MCL war Teil des europäischen Forschungsprojekts iRel40 (www.iRel40.eu) und arbeitete zusammen mit Partnern aus 13 europäischen Mitgliedsstaaten daran, die Grenzen der Zuverlässigkeit in der Mikroelektronik zu verbessern. Ausgewählte Projektergebnisse wurden jetzt in einem Buch bei Springer veröffentlicht ( In dem Buch sind auch Arbeiten unserer Kollegen Christoph Siegl und Manfred Mücke zu finden, die eine Google-Toolchain (TFLite for Microcontrollers) zur Ausführung von Algorithmen des maschinellen Lernens auf Mikrocontrollern untersuchen. Ihre Arbeit trägt zu einem effektiveren Design von Zustandsüberwachungssystemen bei. Eine frühe Version ihrer Arbeit ist auch auf verfügbar.
The automotive power electronics market size reached USD 3.86 billion in 2023. The market is expected to grow at a CAGR of 4.3% between 2024 and 2032, reaching almost USD 5.63 billion by 2032.
The research problem of this systematic review was whether green 6G networks can integrate energy-efficient Industrial Internet of Things (IIoT) in terms of distributed artificial intelligence, green 6G pervasive edge computing communication networks and big-data-based intelligent decision algorithms. We show that sensor data fusion can be carried out in energy-efficient IoT smart industrial urban environments by cooperative perception and inference tasks. Our analyses debate on 6G wireless communication, vehicular IoT intelligent and autonomous networks, and energy-efficient algorithm and green computing technologies in smart industrial equipment and manufacturing environments. Mobile edge and cloud computing task processing capabilities of decentralized network control and power grid system monitoring were thereby analyzed. Our results and contributions clarify that sustainable energy efficiency and green power generation together with IoT decision support and smart environmental systems operate efficiently in distributed artificial intelligence 6G pervasive edge computing communication networks. PRISMA was used, and with its web-based Shiny app flow design, the search outcomes and screening procedures were integrated. A quantitative literature review was performed in July 2024 on original and review research published between 2019 and 2024. Study screening, evidence map visualization, and data extraction and reporting tools, machine learning classifiers, and reference management software were harnessed for qualitative and quantitative data, collection, management, and analysis in research synthesis. Dimensions and VOSviewer were deployed for data visualization and analysis.
(Bild: Cybertec) Deutschlands Volkswirtschaft basiert vor allem auf einer effizienten Fertigungslandschaft. Das macht es laut Graylog wichtig, diese vor Cyberangriffen zu schützen.
The travel and hospitality sectors have long been anchored in traditional payment methods, like cash and credit cards. As consumers and employees voice
Fast die Hälfte der Befragten hält die aktuellen Schutzmaßnahmen der Wirtschaft vor Cyberangriffen für unzureichend. Fast ein Drittel kennt die relevante
Mit der EU-Richtlinie NIS2 sollen kritische Infrastrukturen und wichtige digitale Dienste besser vor Cyberbedrohungen geschützt werden.
MANILA, Philippines — The imposition of fines against motorists entering toll highways without radio frequency identification (RFID) tags has been moved to January 2025, said the Department of
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The exponential growth of the Internet of Things (IoT) has significantly increased the complexity and volume of cybersecurity threats, necessitating the development of advanced, scalable, and interpretable security frameworks. This paper presents an innovative, comprehensive framework for real-time IoT attack detection and response that leverages Machine Learning (ML), Explainable AI (XAI), and Large Language Models (LLM). By integrating XAI techniques such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) with a model-independent architecture, we ensure our framework's adaptability across various ML algorithms. Additionally, the incorporation of LLMs enhances the interpretability and accessibility of detection decisions, providing system administrators with actionable, human-understandable explanations of detected threats. Our end-to-end framework not only facilitates a seamless transition from model development to deployment but also represents a real-world application capability that is often lacking in existing research. Based on our experiments with the CIC-IOT-2023 dataset \cite{neto2023ciciot2023}, Gemini and OPENAI LLMS demonstrate unique strengths in attack mitigation: Gemini offers precise, focused strategies, while OPENAI provides extensive, in-depth security measures. Incorporating SHAP and LIME algorithms within XAI provides comprehensive insights into attack detection, emphasizing opportunities for model improvement through detailed feature analysis, fine-tuning, and the adaptation of misclassifications to enhance accuracy.
Qubits from the Rio Quântica Network will be transmitted by optical fiber and laser in the open air
The GaN Gallium Nitride modules market is witnessing significant growth with its size estimated at 10 74 billion in 2023 The industry is poised for an impressive expansion projected to grow from 13 0 billion in 2024 to 60 0 ...
On September 20, Rocket Lab launched five satellites for the French technology company. Rocket Lab's Electron rocket launched from New Zealand at 7:01 PM ET (Saturday, September 21 at 23:01 GMT or 11:01 NZ time). The satellites were placed into a 400-mile (643-kilometer) high orbit about 66 minutes after launch,…
UWB can take advantage of lateral innovation to enable the smartphone ecosystem to access untapped value
The Internet of Things (IoT), introduced by Kevin Ashton in the late 1990s, has transformed technology usage globally, enhancing efficiency and convenience but also posing significant security challenges. With the proliferation of IoT devices expected to exceed 29 billion by 2030, securing these devices is crucial. This study proposes an optimized 1D convolutional neural network (1D CNN) model for effectively classifying IoT security data. The model architecture includes input, convolutional, self-attention, and output layers, utilizing GELU activation, dropout, and normalization techniques to improve performance and prevent overfitting. The model was evaluated using the CIC IoT 2023, CIC-MalMem-2022, and CIC-IDS2017 datasets, achieving impressive results: 98.36% accuracy, 100% precision, 99.96% recall, and 99.95% F1-score for CIC IoT 2023; 99.90% accuracy, 99.98% precision, 99.97% recall, and 99.96% F1-score for CIC-MalMem-2022; and 99.99% accuracy, 99.99% precision, 99.98% recall, and 99.98% F1-score for CIC-IDS2017. These outcomes demonstrate the model’s effectiveness in detecting and classifying various IoT-related attacks and malware. The study highlights the potential of deep-learning techniques to enhance IoT security, with the developed model showing high performance and low computational overhead, making it suitable for real-time applications and resource-constrained devices. Future research should aim at testing the model on larger datasets and incorporating adaptive learning capabilities to further enhance its robustness. This research significantly contributes to IoT security by providing advanced insights into deploying deep-learning models, encouraging further exploration in this dynamic field.
This paper describes a revolutionary design paradigm for monitoring aquatic life. This unique methodology addresses issues such as limited memory, insufficient bandwidth, and excessive noise levels by combining two approaches to create a comprehensive predictive filtration system, as well as multiple-transfer route analysis. This work focuses on proposing a novel filtration learning approach for underwater sensor nodes. This model was created by merging two adaptive filters, the finite impulse response (FIR) and the adaptive line enhancer (ALE). The FIR integrated filter eliminates unwanted noise from the signal by obtaining a linear response phase and passes the signal without distortion. The goal of the ALE filter is to properly separate the noise signal from the measured signal, resulting in the signal of interest. The cluster head level filters are the adaptive cuckoo filter (ACF) and the Kalman filter. The ACF assesses whether an emitter node is part of a set or not. The Kalman filter improves the estimation of state values for a dynamic underwater sensor networking system. It uses distributed learning long short-term memory (LSTM-CNN) technology to ensure that the anticipated value of the square of the gap between the prediction and the correct state is the smallest possible. Compared to prior methods, our suggested deep filtering–learning model achieved 98.5% of the sensory filtration method in the majority of the obtained data and close to 99.1% of an adaptive prediction method, while also consuming little energy during lengthy monitoring.
Infineon has expanded its OptiMOS 6 MOSFET portfolio with the new 135 V and 150 V product families.
By Magda Dabrowska The global cellular IoT connections climbed 24% YoY in 2023 to reach 3.3 billion, despite challenges in the cellular IoT module sector, according to Counterpoint’s latest IoT Connections Tracker. Looking ahead, the market The post Global cellular IoT connections to reach 6. billion by 2030 appeared first on IoT Now News – How to run […]
BMEL's RePack network supports the COPPA innovation project led by the SKZ
The integration of gate driver, power MOSFETs, bootstrap diodes, and fast-acting protection in one package saves 70% of board space.The post STMicroelectronics announces three-phase motor driver with integrated 500V power stage and a ready-to-use evaluation board appeared first on Power Electronics News.
AEC-Q101 qualified designs contribute to greater miniaturization and high-efficiency operation...
GE Vernova has developed a 2,000 V (DC) utility-scale inverter, to be used in a North American pilot operation starting in early 2025. The inverter offers up to 6.0 MVA of output power.
Push-pull drivers enable 6 W of power delivery at up to 90% efficiency in a small, SOT package Nexperia introduced the NXF6501-Q100, NXF6505A-Q100, and NXF6505B-Q100 today. These are AEC-Q100 qualified, push-pull transformer drivers that enable the design of small, low-noise, and low-EMI isolated power supplies for a range of automotive applications like traction inverters and …
Medical Device Network has listed the leading medical device electronics and power supply providers in the industry. Download for free here.
“The market's expansion is largely driven by the need for efficient energy management solutions to address rising energy demands and regulatory pressures...
Envertech hat ab sofort neue Mikro-Wechselrichter im Angebot, die sich sowohl für Balkonkraftwerke als auch größere PV-Anlagen eignen.
The Micro Solar Inverter Market intelligence report just published by USD Analytics Market covers a micro level study of important market niches product offers and sales channels to determine market size potential growth trends and competitive environment the Micro Solar ...
Global Automotive Power Electronics Market size was valued at USD 4 17 billion in 2022 and is poised to grow from USD 4 37 billion in 2023 to USD 6 30 billion by 2031 growing at a CAGR of 4 ...
The number of contactless payments in Canada increased by 17% in 2023 to reach 63% of all in-store transactions.
Cobalt-based nanomaterials, characterized by multiple oxidation states and high stability in alkaline environments, have been found extensive applicat…
Light Detection and Ranging or LiDAR is often used in the latest searches for ancient ruins (lost cities and walls), underwater exploration, and even
The development of nanomaterials with notable enzyme-like activity is of great significance to the field of bioanalysis. Herein, a nanomaterial compos…
Exploring the interrelationships between microstructure, hydrophilicity, humidity response, and material stability through molecular structure design …
This paper is concerned with the distributed fusion filtering algorithm design problem for multi-sensor nonlinear networked systems (MSNNSs) subject t…
We stock many ST VL5 series ToF sensors ( but it’s always a good idea to peek at what else is available on the market. Here’s a multi-zone Time of Flight sensor from ams OSRAM – t…
Ultrathin flexible pressure sensors are highly desirable for human physiological signal monitoring due to their portability and ability to conform to …
Tactile sensing of skin shapes the interactions between hand and the surrounding world, owing to the remarkable natural sensory system. But for astron…
The sensor would help in accurately detecting the concentration of L-dopa in the body, thereby helping to determine the precise dosage required for effective control of the disease.
VANCOUVER, British Columbia, Aug. 27, 2024 (GLOBE NEWSWIRE) — First Atlantic Nickel Corp. (TSXV: FAN) (OTCQB: FANCF) (FSE: P21) (“First Atlantic” or the “Company”…
The design and construction of an efficient non-enzymatic glucose electrochemical sensor is of great significance for food quality assessment. Here, w…
In recent decades, enhancing response in metal oxide semiconductor-based gas sensors has emerged as a crucial parameter for practical applications. In…
SICAM EGS. Image courtesy Siemens Siemens Smart Infrastructure has delivered to market the SICAM Enhanced Grid Sensor (EGS), designed to address the key challenge of distribution network transparency for grid operators. According to the Siemens Smart Infrastructure in a release, the new grid sensor solution will play a pivotal role in digitalising distribution grids, enabling
Accurate sensing of small biomolecules from complex biofluid media remains a challenge due to adverse interaction of metallic salts and other biofluid…
Molecular imprinted photonic crystal hydrogel (MICPH) sensors have gained recognition as an efficient platform for selectively detecting analyte molec…
With icing still a prevalent threat to air transport, a European-funded project has been exploring hybrid detection of ice build-up through a combination of new sensor technology and analysis of degraded aircraft performance.
Flexible pressure sensors have drawn substantial community interest as a result of the advancement of contemporary technology. Inspired by the unique …
Smart Sensor Market is Expected to Reach $15,840 Million, Globally, by 2023 Smart sensor market is driven by the increasing adoption of IoT, rising demand for electronics, & integration in vehicles, with applications spanning cities, grids, & energy-efficient environments.” — Allied Market Research WILMINGTON, DELAWARE, UNITED STATES, August 23, 2024 /EINPresswire.com/ — Smart sensors have […]
Advancements in Earth observation technologies have greatly enhanced the potential of integrating hyperspectral (HS) images with Light Detection and R…
Studies indicate a potential 108 % increase in incidence and 112 % in mortality rate of prostate cancer in Sub-Saharan Africa by 2040. Electrochemical…
In our recent Summer issue of Energy Global, Matthieu Boquet, Head of Market and Offering of Wind Energy, Vaisala, France, examines the uses of LiDAR technology in wind farms.
Developing novel porous materials as sensitive elements is a key in the progress of biosensors. The realization of MOFs hybrids provides a platform to…
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