
Smart Dustは、ミリメートルまたはマイクロメートルスケールのワイヤレスマイクロセンサーとアクチュエータのネットワークで構成され、マイクロ電気機械システム(MEMS)を統合しています。MEMS), ultralow-power microcontrollers, and ambient energy harvesting to enable distributed sensing and computation. Core テクノロジー include microscale コミュニケーション protocols, microfabrication techniques, sensor fusion algorithms, and scalable ad-hoc networking architectures. Applications span environmental monitoring, industrial automation, and ubiquitous computing, relying on self-organization, micropower management, and secure data transmission within dense, spatially distributed node arrays. Our continuously updated compilation below presents the latest peer-reviewed publications and patents detailing advances in microsystem integration, nanomaterials, microtransceiver design, and system-level optimization driving the evolution of Smart Dust platforms.
これは、スマートダストに関する英語の世界中の出版物と特許の最新のセレクションです。多数の科学オンラインジャーナルから、マイクロセンサー、ナノネットワーク、ワイヤレスマイクロシステム、マイクロロボット、超低電力、マイクロ電気機械システム、MEMS、分散コンピューティング、環境エネルギーハーベスティング、マイクロスケール通信、センサーフュージョン、マイクロアクチュエータ、ナノパワー、マイクロスケール処理、ワイヤレスセンサーノード、マイクロファブリケーション、環境モニタリング、ユビキタスコンピューティング、マイクロシステム統合、ナノロボティクス、アドホックネットワーク、マイクロ電力管理、ナノマテリアル、マイクロスケールエネルギー、マイクロコントローラ、マイクロスケールアンテナ、スケーラブルセンシング、マイクロシステムセキュリティに分類され、焦点を絞っています。
Processor-implemented method and system of operation of high-resilient and robust navigation for autonomous systems in challenging environments
Patent published on the 2026-05-28 in WO under Ref WO2026107577 by MICRO ENG TECH INC [CA] (Ai Mengchi [ca], Elhabiby Mohamed Mamdouh [ca], El-sheimy Naser Mahmoud [ca])
Abstract: A processor-implemented method and system of operation of high-resilient and robust navigation for autonomous systems in challenging environments is provided. The method includes determining, by a high-definition map module, if a pre-built high-definition (HD) map is used for navigation based on the distinguished surrounding environments. The method further includes analyzing, by an analyzer module, a real-time environmental data from the LiDAR, Radar, and visual sensors to align with pre-existi[...]
Our summary: The method provides a robust navigation system for autonomous vehicles in challenging environments. It utilizes high-definition maps and real-time data from various sensors for accurate positioning. The system includes modules for map alignment, semantic consistency checks, and non-line-of-sight mapping.
Autonomous Navigation, High-Definition Mapping, Sensor Fusion, Real-Time Data Analysis
Patent
Method and system for 3d iod-to-vehicle communication by vanet
Patent published on the 2026-05-28 in US under Ref US20260149516 by KING FAHD UNIV OF PETROLEUM AND MINERALS [SA] (Ahmed Gamil Abdullah Mohsen [sa], Sheltami Tarek Rahil Omar [sa], Mahmoud Ashraf Sharif Hasan [sa], Yasar Ansar Ulhaque [be])
Abstract: A terrestrial communication on a three-dimensional internet of drone (IoD)-assisted vehicle ad-hoc network including a plurality of drones and a plurality of vehicles system and method is disclosed. The method includes obtaining first geographical coordinates of each vehicle of the plurality of vehicles and estimating a first elevation of each vehicle of the plurality of vehicles at the first geographical coordinates. The method involves obtaining second geographical coordinates for each drone i[...]
Our summary: The method facilitates communication in a 3D IoD-assisted vehicle ad-hoc network. It involves obtaining geographical coordinates and estimating elevations for vehicles and drones. The system detects obstacles and evaluates signal attenuation to optimize drone deployment for effective communication.
3D communication, IoD, VANET, signal attenuation
Patent
In-vehicle intelligent safety, surveillance and environmental monitoring platform
Patent published on the 2026-05-28 in WO under Ref WO2026109132 by JAAFAR AHMED MEDHAT ABDELDAYEM ABDELMOATY [EG] (Jaafar Ahmed Medhat Abdeldayem Abdelmoaty [eg])
Abstract: An integrated intelligent safety and surveillance system for vehicles combining multiple cameras (internal fisheye, front, rear), radar collision sensor, high-precision GPS unit, environmental sensors (temperature, humidity, air quality), and ambient LED lighting within a single embedded unit with internal battery and optional solar power. Features protocol-agnostic communication architecture (GSM/3G/4G/5G, Wi-Fi, Bluetooth, satellite, CAN bus) and supports multiple platforms (Android, Arduino, [...]
Our summary: This platform integrates multiple sensors and cameras for comprehensive vehicle monitoring and safety. It features protocol-agnostic communication and supports various platforms for enhanced functionality. The system targets commercial applications and provides real-time analytics for driving behavior and risk assessment.
Intelligent safety, Environmental monitoring, Collision warning, Vehicle surveillance
Patent
Tactile feedback sensor
Patent published on the 2026-05-28 in US under Ref US20260144608 by ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIV OF ARIZONA [US] (Govalla Dema [us], Rozenblit Jerzy [us])
Abstract: This invention provides systems and methods for tactile perception in robotic assisted minimally invasive surgery (RAMIS), focusing on deformation and texture detection. The system integrates microelectromechanical systems (MEMS) sensors and/or force-sensitive resistor (FSR) sensors attached to a thoracic grasper instrument and is compatible with the da Vinci MIS surgical system and other robotic surgical systems. The systems further utilize algorithms able to accurately classify objects with va[...]
Our summary: This invention enhances tactile perception in robotic assisted minimally invasive surgery. It integrates MEMS and FSR sensors with a thoracic grasper instrument. Algorithms classify objects based on softness and roughness for improved surgical outcomes.
tactile feedback, robotic surgery, MEMS sensors, texture detection
Patent
Fluid filtration membranes
Patent published on the 2026-05-28 in US under Ref US20260145142 by KHALIFA UNIV OF SCIENCE AND TECHNOLOGY [AE] (Hasan Shadi Wajih [ae], Hegab Hanaa Mohamed Samy Mohamed Saber [ae], Abuhantash Farah Jehad Khalil [ae])
Abstract: [0000] A membrane includes a polymeric material; and a nanomaterial dispersed in the polymeric material, wherein the nanomaterial includes a carbon nanotube material, and the membrane is hydrophilic. A method for forming a membrane includes distributing a nanomaterial in a solvent to form a first mixture, wherein the nanomaterial includes a multi-walled carbon nanotube material; mixing one or more polymeric materials with the first mixture to form a second mixture; introducing a non-solvent suff[...]
Our summary: The membrane comprises a polymeric material and dispersed carbon nanotubes. A method involves mixing nanomaterials with polymers and inducing phase separation. The final product is a hydrophilic membrane suitable for fluid filtration.
membrane technology, carbon nanotubes, hydrophilic membranes, phase separation
Patent
Ultrasound device, in particular for applications based on time-of-flight measurement, and control method
Patent published on the 2026-05-28 in US under Ref US20260147117 by STMICROELECTRONICS INT N V [CH] (Giusti Domenico [it], Passoni Marco [it], Barretta Luigi [it])
Abstract: [0000] An ultrasound device uses transmission transduction modules of MEMS type, where each transmission transduction module emits a respective ultrasound acoustic wave. Reception transduction modules of MEMS type are configured to each generate an electrical signal in response to the detection of an impinging ultrasound acoustic wave. Control circuitry includes one or more transmission channels configured to drive the emission of ultrasound acoustic waves by the transmission transduction module[...]
Our summary: The ultrasound device utilizes MEMS transduction modules for emitting and receiving acoustic waves. It employs time-of-flight measurement for accurate detection. Control circuitry manages the emission and reception of signals through dedicated channels.
Ultrasound, MEMS, time-of-flight, control circuitry
Patent
Real-Time Axle-Load Sensing and AI-Enhanced Braking-Distance Prediction for Multi-Axle Heavy-Duty Trucks
Published on 2026-02-03 by Duk Sun Yun, Byung Chul Lim @MDPI
Abstract: Accurate braking-distance prediction for heavy-duty multi-axle trucks remains challenging due to the large gross vehicle weight, tandem-axle interactions, and strong transient load transfer during emergency braking. Recent studies on tire–road friction estimation, commercial-vehicle braking control (EBS/AEBS), and weigh-in-motion (WIM) sensing have highlighted that unmeasured vertical-load dynamics and time-varying friction are key sources of prediction uncertainty. To address thes[...]
Our summary: This study presents a framework for real-time axle-load sensing and AI-enhanced braking-distance prediction for heavy-duty trucks. It integrates dynamic load estimation with friction sensing and machine learning to improve prediction accuracy. The results show significant enhancements in braking-distance predictions compared to traditional methods, supporting advanced driver-assistance and safety management systems.
Axle-Load Sensing, Braking-Distance Prediction, Machine Learning, Heavy-Duty Trucks
Publication
An Ontology-Based Framework for Semantic Integration and Interoperable Assessment of Green-Synthesized Nanomaterials for Environmental Remediation
Published on 2026-02-03 by Carolina L. Recio-Colmenares, Roxana B. Recio-Colmenares, Francisco E. Castillo-Barrera, Cesar A. Garcia-Garcia @MDPI
Abstract: Green-synthesized nanomaterials have emerged as promising candidates for environmentally sustainable remediation; however, experimental evidence describing their synthesis routes, physicochemical properties, remediation performance, and sustainability-relevant attributes remains fragmented, inconsistently reported, and difficult to integrate across studies. This work addresses this challenge by proposing an ontology-based semantic framework for the interoperable integration of green-synthesized [...]
Our summary: This work proposes an ontology-based framework for integrating green-synthesized nanomaterials and remediation processes. It addresses data fragmentation by providing a unified, FAIR-compliant semantic structure. The framework supports provenance-aware inference and comparative analysis across diverse remediation mechanisms.
Ontology, Nanomaterials, Semantic Integration, Environmental Remediation
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