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Exploring the power of AI-driven insights, data analytics, and IoT to redefine efficiency, sustainability, and innovation in UAE real estate. DUBAI, DUBAI, UNITED ARAB EMIRATES, November 14, 2024 /EINPresswire.com/ — As UAE’s real estate market matures and increases in complexity, innovative tools such as generative AI, big data, and IoT are becoming instrumental in guaranteeing […]
Seeed Studio erweitert seine XIAO-Reihe um zwei Matter-fähige EFR32MG24-Boards. Diese Boards bieten kleinen Stromverbrauch und einen Batterieladeschaltkreis.
Massive IoT Market The industrial vertical segment is expected to experience significant growth in the coming years Rising popularity of Narrowband-IoT (NB-IoT) & LTE-M technologies, rapid advancement of 5G technology, and the growing demand for industrial automation drive the growth of the massive IoT market” — Allied Market Research WILMINGTON, NEW CASTLE, DE, UNITED STATES, […]
IoT startup Wiliot has secured a contract with the Royal Mail to supply 850,000 ambient IoT tags to track wheeled containers through its distribution centres.
Know how edge management in IoT enhances efficiency, reduces latency, and optimizes device operations, revolutionizing data infrastructure.
Terraformation is using technology, including Dryad Networks’ wireless mesh sensors, to bring intelligence to its tree plantations in Hawaii.
The Kantonsspital Baden in Switzerland is working with Siemens to deploy 2,000 IoT tags and 7,000 IoT sensors to improve patient care and hospital operations.
This paper provides an overview of several secure boot architectures with a focus on key rotation. It expands on a practitioner note that the authors submitted to the 2023 IEEE Secure Development Conference. Key rotation is important due to the frequency of lost signing keys and the difficulty of managing secret keys for the long lifetimes of Industrial Internet of Things (IIOT) devices. Key rotation is not simple for IIOT due to limited resources during a secure boot process and the constraints of the firmware utilities that come from the chip vendors. This paper reviews and compares five common architectures for a secure boot that are seen across the IIOT community. For each architecture, it provides some key strengths and weaknesses associated with that architecture. The paper then provides a detailed comparison and analysis of the architectures to convince the IIOT community to move towards a strong use of certificates (instead of the traditional use of raw public keys). The intent of this paper is to provide a practitioner’s perspective on these challenges and the tradeoffs in hopes of inviting comments from chip vendors and the broader community.
Many companies are using smart packaging to provide consumers with more information about their products. The goal of our case study is to access the Near Field Communication (NFC) tag knowledge, as well as getting insights into tag positioning in food package design for better visibility in order to develop some guidelines for future tag implementations. A preliminary survey of professionals provided an overview of NFC tag usage, followed by an online survey that assessed knowledge and visibility of tag placements. These findings were further discussed in focus groups and measured using eye-tracking technology. For placement visibility assessments, well-known and fictitious packaging designs of milk were used. The results show that, due to the NFC tag’s low market penetration, consumer recognition is low, with only generations Y and Z being familiar with the NFC tag. Knowledge of the NFC tag does not significantly vary based on education level. When considering the use of NFC tags, it is crucial to define and understand the target market. If the target is younger generations, the potential to increase engagement with the product can be achieved. Additionally, to boost consumer interaction, NFC tags or other smart elements should include an activation prompt, positioned on the central right section of the packaging and distinguished by a distinct color. The influence of the design on tag visibility is essential to ensure its effectiveness.
Neue Autos mit Audis PPE-Plattform bekommen ein Zugangssystem, das mittels Ultra-Breitband-Technik von NXP vor unlauteren Zugriffen schützen soll.
FNB’s data shows that 61% of those who earn less than R750 000 per annum still feel like having cash is important to their everyday life and they can’t go without it.
A digital wallet refers to an electronic device, online service, …
Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based computing-in-memory architecture, significantly reducing circuit size and power consumption. Their design achieved near-identical accuracy and faster training times compared to traditional BNNs, making it a promising solution for efficient AI implementation in resource-limited devices, such as those used in IoT systems.
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining popularity for organizational perimeter surveillance and security monitoring. Transmitting HD video data to cloud infrastructure requires high bandwidth and more storage space than text, audio, and image data. It becomes more challenging for large-scale organizations with massive security grids to minimize cloud network bandwidth and storage costs. This paper presents an application of Machine Vision at the IoT Edge (Mez) technology in association with a novel Grid Sensing (GRS) algorithm to optimize cloud Infrastructure as a Service (IaaS) resource allocation, leading to cost minimization. Experimental results demonstrated a 31.29% reduction in bandwidth and a 22.43% reduction in storage requirements. The Mez technology offers a network latency feedback module with knobs for transforming video frames to adjust to the latency sensitivity. The association of the GRS algorithm introduces its compatibility in the IoT camera-driven security grid by automatically ranking the existing bandwidth requirements by different IoT nodes. As a result, the proposed system minimizes the entire grid’s throughput, contributing to significant cloud resource optimization.
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, including weak authentication, insufficient data protection, and firmware vulnerabilities. To address these issues, we propose a linguistic secret sharing scheme tailored for IoT applications. This scheme leverages neural networks to embed private data within texts transmitted by IoT devices, using an ambiguous token selection algorithm that maintains the textual integrity of the cover messages. Our approach eliminates the need to share additional information for accurate data extraction while also enhancing security through a secret sharing mechanism. Experimental results demonstrate that the proposed scheme achieves approximately 50% accuracy in detecting steganographic text across two steganalysis networks. Additionally, the generated steganographic text preserves the semantic information of the cover text, evidenced by a BERT score of 0.948. This indicates that the proposed scheme performs well in terms of security.
The Internet of Things (IoT) has radically changed the industrial world, enabling the integration of numerous systems and devices into the industrial ecosystem. There are many areas of the manufacturing industry in which IoT has contributed, including plants’ remote monitoring and control, energy efficiency, more efficient resources management, and cost reduction, paving the way for smart manufacturing in the framework of Industry 4.0. This review article provides an up-to-date overview of IoT systems and machine learning (ML) algorithms applied to smart manufacturing (SM), analyzing four main application fields: security, predictive maintenance, process control, and additive manufacturing. In addition, the paper presents a descriptive and comparative overview of ML algorithms mainly used in smart manufacturing. Furthermore, for each discussed topic, a deep comparative analysis of the recent IoT solutions reported in the scientific literature is introduced, dwelling on the architectural aspects, sensing solutions, implemented data analysis strategies, communication tools, performance, and other characteristic parameters. This comparison highlights the strengths and weaknesses of each discussed solution. Finally, the presented work outlines the features and functionalities of future IoT-based systems for smart industry applications.
In the era of the Internet of Things (IoT), the demand for accurate positioning services has become increasingly critical, as location-based services (LBSs) depend on users’ location data to deliver contextual functionalities. While the Global Positioning System (GPS) is widely regarded as the standard for outdoor localization due to its reliability and comprehensive coverage, its effectiveness in indoor positioning systems (IPSs) is limited by the inherent complexity of indoor environments. This paper examines the various measurement techniques and technological solutions that address the unique challenges posed by indoor environments. We specifically focus on three key aspects: (i) a comparative analysis of the different wireless technologies proposed for IPSs based on various methodologies, (ii) the challenges of IPSs, and (iii) forward-looking strategies for future research. In particular, we provide an in-depth evaluation of current IPSs, assessing them through multidimensional matrices that capture diverse architectural and design considerations, as well as evaluation metrics established in the literature. We further examine the challenges that impede the widespread deployment of IPSs and highlight the potential risk that these systems may not be recognized with a single, universally accepted standard method, unlike GPS for outdoor localization, which serves as the golden standard for positioning. Moreover, we outline several promising approaches that could address the existing challenges of IPSs. These include the application of transfer learning, feature engineering, data fusion, multisensory technologies, hybrid techniques, and ensemble learning methods, all of which hold the potential to significantly enhance the accuracy and reliability of IPSs. By leveraging these advanced methodologies, we aim to improve the overall performance of IPSs, thus paving the way for more robust and dependable LBSs in indoor environments.
Was Sie über die Netzwerk- und Informationssicherheitsrichtlinie NIS-2 wissen müssen
The expansion of dairy cattle farms and the increase in herd size have made the control and management of animals more complex, with potentially negative effects on animal welfare, health, productive/reproductive performance and consequently farm income. Precision Livestock Farming (PLF) is based on the use of sensors to monitor individual animals in real time, enabling farmers to manage their herds more efficiently and optimise their performance. The integration of sensors and devices used in PLF with the Internet of Things (IoT) technologies (edge computing, cloud computing, and machine learning) creates a network of connected objects that improve the management of individual animals through data-driven decision-making processes. This paper illustrates the main PLF technologies used in the dairy cattle sector, highlighting how the integration of sensors and devices with IoT addresses the challenges of modern dairy cattle farming, leading to improved farm management.
Adds critical operations and technical expertise to support customers and partners, making Taiwan Synaptics’ largest employee base worldwide....
Mouser Electronics, Inc., the authorized global distributor with the newest electronic components and industrial automation products, is now shipping the RRH62000 all-in-one integrated air sensor module from Renesas Electronics. The RRH62000 is an integrated air sensor module for air purifiers, smoke detectors, HVAC systems, weather stations, smart home systems, and indoor air monitoring applications. The Renesas ... Read moreThe post New at Mouser: Renesas RRH62000 All-In-One Air Sensor Module for Indoor Monitoring Applications appeared first on Electronics Sourcing.
New ST87M01 module integrating embedded SIM with certified Vodafone profile and switchable NB-IoT/wM-Bus for easy, secure, and flexible connections
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