Product Design, Manufacturing & Innovation Resources

최신 출판물 – 스마트 더스트 관련 특허

Smart Dust

팁: 아래 선택 항목 외에도, 저희가 제공하는 두 개의 전체 데이터베이스를 검색하고 필터링할 수 있습니다.

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Smart dust
스마트 더스트는 다양한 응용 분야에서 고급 분산 감지 및 연산을 위해 소형 센서와 액추에이터를 통합합니다.

스마트 더스트는 밀리미터 또는 마이크로미터 크기의 무선 마이크로 센서와 액추에이터 네트워크로 구성되며, 미세전기기계시스템(MEMS)을 통합합니다.MEMS), ultralow-power microcontrollers, and ambient energy harvesting to enable distributed sensing and computation. Core 기술 include microscale 의사소통 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.

본 자료는 스마트 더스트 관련 전 세계 영문 논문 및 특허를 엄선하여 정리한 것으로, 다양한 온라인 과학 저널에 게재된 자료들을 마이크로 센서, 나노 네트워크, 무선 마이크로 시스템, 마이크로 로봇, 초저전력, 마이크로 전기 기계 시스템(MEMS), 분산 컴퓨팅, 주변 에너지 수확, 마이크로 스케일 통신, 센서 융합, 마이크로 액추에이터, 나노 전력, 마이크로 스케일 처리, 무선 센서 노드, 마이크로 제조, 환경 모니터링, 유비쿼터스 컴퓨팅, 마이크로 시스템 통합, 나노 로봇 공학, 애드혹 네트워크, 마이크로 전력 관리, 나노 소재, 마이크로 스케일 에너지, 마이크로 컨트롤러, 마이크로 스케일 안테나, 확장 가능한 센싱 및 마이크로 시스템 보안 등의 주제로 분류하여 제공합니다.

Memory-resident execution of persistent executable objects in distributed computing systems

Patent published on the 2026-06-11 in US under Ref US20260161466 by CLARK NICHOLAS [US] (Clark Nicholas [us])

Abstract: A computer-implemented method and system for executing semantic computation in distributed computing environments. Each computational task is instantiated as a persistent executable object comprising an intent field, a context block, and a memory field that stores execution history. The persistent executable object propagates among execution nodes, each of which independently evaluates the object based on embedded intent, context, memory, and locally applied policy. Execution actions including e[...]


Our summary: The method enables memory-resident execution of persistent executable objects in distributed systems. Each task is evaluated independently based on intent, context, and memory without centralized control. This approach allows for adaptive execution across heterogeneous environments, maintaining continuity across asynchronous cycles.

persistent executable objects, distributed computing, semantic computation, memory-resident execution

Patent

Separator and use thereof

Patent published on the 2026-06-11 in WO under Ref WO2026118063 by SHENZHEN SENIOR TECH MATERIAL CO LTD [CN] (Zheng Lin [cn], Wu Zhongma [cn], Lin Lujing [cn], Wang Yanjie [cn], Qi Cai [cn], Xie Yankun [cn])

Abstract: The present application provides a separator and a use thereof. The separator comprises a base film and a functional layer located on at least one surface of the base film. The functional layer comprises a thermoplastic polymer, polyethylene oxide containing unsaturated groups, and a porous nanomaterial. The thermoplastic polymer is of a three-dimensional network structure, and the polyethylene oxide containing unsaturated groups and the porous nanomaterial are at least distributed in the three-[...]


Our summary: The application describes a separator with a base film and a functional layer. The functional layer includes a thermoplastic polymer, polyethylene oxide with unsaturated groups, and a porous nanomaterial. This design enhances ion transport capability and electrolyte wettability.

Separator, functional layer, thermoplastic polymer, ion transport capability

Patent

Cloud-based mathematical modeling and simulation service system

Patent published on the 2026-06-11 in WO under Ref WO2026118756 by CHONGQING BUSINESS VOCATIONAL COLLEGE [CN] (Yue Siwei [cn])

Abstract: The present application relates to the technical field of cloud-based mathematical modeling and simulation service systems, and particularly relates to a cloud-based mathematical modeling and simulation service system. The system comprises distributed computing nodes, a dynamic resource scheduler, a modular modeling unit, a data storage pool and a communication interface, wherein the distributed computing nodes are connected by means of a high-speed network to form a cluster, the dynamic resourc[...]


Our summary: The system is a cloud-based mathematical modeling and simulation service. It utilizes distributed computing nodes and a dynamic resource scheduler to enhance efficiency. The architecture supports high-concurrency scenarios for industrial simulation and scientific research.

Cloud computing, Mathematical modeling, Distributed computing, Resource scheduling

Patent

Electromagnetically controlled flapping wing aerial device

Patent published on the 2026-06-11 in WO under Ref WO2026122076 by KATO KIYENGO JEFFREY [UG] (Kato Kiyengo Jeffrey [ug])

Abstract: The present invention relates to a flapping-wing aerial body capable of controlled flight using electromagnetically driven wing motion. The invention mimics the flight dynamics of insects, such as wasps and bees, by creating lift and thrust through the up-and-down movement of its wings. Electromagnets are employed to attract and release metallic plates connected to the wings, causing them to flap. This motion allows the aerial body to move in multiple directions, including forward, backward, lef[...]


Our summary: The invention is an electromagnetically controlled flapping wing aerial device that mimics insect flight dynamics. It uses electromagnets to drive wing motion for multi-directional movement and precise control. This design offers a compact and energy-efficient alternative to conventional drone technologies.

flapping wing, electromagnet, microcontroller, UAV

Patent

Controlling sensor fusion for automated vehicle technology

Patent published on the 2026-06-11 in US under Ref US20260159117 by TOYOTA JIDOSHA KK [JP] (Ganlath Akila C [us], Chen Qi [us], Gupta Rohit [us])

Abstract: [0000] A system for controlling sensor fusion can include a processor and a memory. The memory can store a sensor data adjustment module, a sensor fusion module, and a communications module. The sensor data adjustment module can include instructions that, when executed by the processor, cause the processor to: calculate reliability scores for sensors and multiply values of data, produced by the sensors, by the reliability scores to produce a scored input value. The sensor fusion module can inclu[...]


Our summary: A system for controlling sensor fusion includes a processor and memory. It calculates reliability scores for sensors and processes scored input values using a reservoir computing network. The results are communicated to an automated vehicle technology system for vehicle movement control.

sensor fusion, automated vehicle, reliability scores, reservoir computing

Patent

System and method for controlling search operations by swarms of autonomous agents

Patent published on the 2026-06-04 in WO under Ref WO2026117798 by LOK JOHNATHAN [US] (Lok Johnathan [us])

Abstract: A multi-agent control system coordinates autonomous agents to efficiently search two-dimensional and three-dimensional surfaces for targets. The system employs a multi-phase decentralized control strategy including deployment, circle formation, and spiral search phases. During circle formation, agents use a distributed consensus-based auction algorithm with wind-aware or current-aware cost calculations to assign themselves to evenly-spaced angular positions around a mission center. Agents then e[...]


Our summary: The system coordinates autonomous agents for efficient target search on two-dimensional and three-dimensional surfaces. It utilizes a multi-phase decentralized control strategy with auction algorithms for deployment and trajectory planning. Applications include search and rescue, reconnaissance, and environmental monitoring.

multi-agent systems, autonomous agents, decentralized control, search algorithms

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&amp;ndash;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

Publication

다룬 주제: 스마트 더스트, 마이크로센서, 액추에이터, 미세전기기계시스템(MEMS), 초저전력 마이크로컨트롤러, 주변 에너지 하베스팅, 분산 센싱, 마이크로스케일 통신 프로토콜, 미세가공 기술, 센서 융합 알고리즘, 확장 가능한 애드혹 네트워킹, 환경 모니터링, 산업 자동화, 유비쿼터스 컴퓨팅, 마이크로 전력 관리, 보안 데이터 전송, 나노소재, 마이크로 트랜시버 설계, ISO/IEC 30141, IEEE 802154, ISO/IEC 27001, IEEE 80211 및 ISO/IEC 24765.

사용된 용어집

Environmental Monitoring System (EMS): 대기, 수질, 토양 등 환경조건에 대한 데이터를 체계적으로 수집, 분석, 보고하여 법규 준수 여부를 평가하고, 시간에 따른 변화를 추적하며, 환경 관리 및 보호를 위한 의사결정을 지원하도록 설계된 시스템입니다.

역사적 맥락

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(날짜를 알 수 없거나 관련이 없는 경우, 예를 들어 "유체역학"의 경우, 주목할 만한 등장 시기를 대략적으로 추정하여 제공합니다.)

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