Product Design, Manufacturing & Innovation Resources

最新の出版物:セルオートマトンに関する特許

Cellular Automata

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Cellular automata
セルラー オートマタ これらは、さまざまな科学および工学分野にわたる複雑な現実世界のシステムをシミュレーションするための汎用性の高いツールです。

セルオートマトンとは、セルがグリッド状に並んだ離散的なモデルであり、各セルは限られた数の状態しかとることができません。各セルの状態は、隣接するセルの状態を考慮した一連の規則に従って、一定の時間間隔で変化します。規則自体は単純ですが、これらのシステムは複雑で創発的なパターンや振る舞いを生み出すことができます。 究極的には、セルオートマトンを用いることで、流体力学のような物理プロセス、疾病の蔓延のような生物学的現象、あらゆる種類の個体群の増加など、現実世界のさまざまなシステムをシミュレートすることができる。

これは、セルオートマトン、セルオートマトン、オートマトン理論、セル空間、テッセレーションオートマトン、反復配列、スタニスワフ・ウラム、テッセレーション構造、セル構造、ジョン・フォン・ノイマン、ライフゲーム、コンウェイ、均質構造、スティーブン・ウルフラム、チューリング完全性、オートマトンといったキーワードで分類・焦点を絞った、セルオートマトン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。

A method and a compact equipment to increase the calorific value of biogas by microreaction

Patent published on the 2026-06-04 in WO under Ref WO2026114702 by IBERFLUID INSTR SA [ES] (De Los Santos Aparicio Mario [es], Hernando Laguna Oscar [es], Royuela Jurado Oscar [es], Teresa Cotes Palomino (uja) [es], Lopez Garcia (uja) Ana Belen [es], Dubbelman Vizcaino (uja) Alejandro [es], Fernandez Lietor Pablo [es], Lerma Villar Christian [es)

Abstract: The present invention discloses a method and a compact equipment to increase the calorific value of biogas by methanation of CO2 with H2 (Sabatier reaction), relayed on a microreaction system that use geometric periodic open cellular structures (POCS), in which the catalytic system is embedded, to intensify the gas reaction. The compact equipment enables the delocalized biogas producers to benefit the CO2 fraction by increasing the calorific value of gas, avoiding the emission of this gas to atm[...]


Our summary: This invention presents a method and compact equipment to enhance the calorific value of biogas through CO2 methanation. It utilizes a microreaction system with periodic open cellular structures to intensify the reaction. The technology allows decentralized biogas producers to utilize CO2, improving gas quality and reducing emissions.

biogas, methanation, microreaction, catalytic system

Patent

Sound system comprising at least one sound-emitting body

Patent published on the 2026-05-28 in WO under Ref WO2026107535 by LECHLEITNER CARL MARIA INGWAR [AT] (Lechleitner Carl Maria Ingwar [at])

Abstract: The invention relates to a sound system comprising at least one sound-emitting body and a structure-borne sound transducer, which is vibrationally connected to the at least one sound-emitting body. In order to allow improved sound quality while keeping production costs low, at least one sound-emitting body has a cellular structure surrounded by a skin which acts as a sound-emitting surface.[...]


Our summary: The invention describes a sound system with a sound-emitting body and a structure-borne sound transducer. The sound-emitting body features a cellular structure and a skin that serves as the sound-emitting surface. This design aims to enhance sound quality while minimizing production costs.

sound system, sound-emitting body, structure-borne sound transducer, cellular structure

Patent

Automatable task extraction utilizing trace invariants of a screen cross-reference to related applications

Patent published on the 2026-04-15 in EP under Ref EP4726669 by UIPATH INC [US] (Barello Gregory [us], Dannamaneni Prashanth [us], Park Charles [us])

Abstract: [0001] A method is provided. The method is executed by a task mining engine implemented as a computer program. The method includes determining, by the task mining engine via a model, similar values of data available from the screen sequence. Each of the similar values are assigned a different key to provide keys. The method includes generating, by the task mining engine, a data structure linking the keys to screens of the screen sequence that each associated similar value appears thereon. The me[...]


Our summary: The method involves a task mining engine that identifies similar data values from a screen sequence. It generates a data structure linking these values to their respective screens. The engine then identifies trace invariants to determine potential automatable tasks.

task mining, trace invariants, screen sequence, data structure

Patent

An Improved SAO Used for Global Optimization and Economic Power Load Forecasting

Published on 2026-02-03 by Lang Zhou, Yaochun Shao, HaoXiang Zhou, Yangjian Yang @MDPI

Abstract: Short-term electricity load forecasting has become increasingly challenging due to growing demand volatility, nonlinear load patterns, and the dynamic penetration of renewable energy sources. Conventional forecasting models often suffer from sensitivity to hyperparameter settings and limited capability in capturing long-term temporal dependencies. To address these issues, this paper proposes a hybrid forecasting framework that integrates an Improved Snow Ablation Optimizer (ISAO) with a Dilated [...]


Our summary: The paper presents an Improved Snow Ablation Optimizer (ISAO) integrated with a Dilated BiGRU for short-term electricity load forecasting. ISAO enhances optimization through cooperative mechanisms, adaptive strategies, and improved step sizes. Experiments show significant improvements in predictive accuracy and stability compared to conventional models.

Optimization, Forecasting, Neural Networks, Renewable Energy

Publication

Recent Advances, Hybrid Frameworks, and Pathways to Predictive Control

Published on 2026-01-21 by ?ukasz ?ach @MDPI

Abstract: Metal additive manufacturing (AM) generates complex microstructures through extreme thermal gradients and rapid solidification, critically influencing mechanical performance and industrial qualification. This review synthesizes recent advances in cellular automata (CA) and phase-field (PF) modeling to predict grain-scale microstructure evolution during AM. CA methods provide computational efficiency, enabling large-domain simulations and excelling in texture prediction and multi-layer builds. PF[...]


Our summary: This review discusses advances in cellular automata and phase-field modeling for predicting microstructure evolution in metal additive manufacturing. Hybrid frameworks combine the efficiency of cellular automata with the accuracy of phase-field methods for enhanced predictive capability. Challenges include scalability, calibration protocols, and validation, with emerging solutions focusing on machine learning and digital twin architectures.

Additive Manufacturing, Microstructure Evolution, Hybrid Modeling, Predictive Control

Publication

Microstructure, Processability, and Strength of SiC-Reinforced AlSi9Mg Composite After Laser Surface Remelting and Post-Heat Treatment

Published on 2025-11-19 by Abhishek Ghosh, Esmaeil Pourkhorshid, Paul Rometsch, X.-Grant Chen @MDPI

Abstract: The present study investigated the microstructure, processability, and mechanical strength of an AlSi9Mg-20vol.%SiC composite to assess its processing and mechanical performance during the laser powder bed fusion process. A simple laser surface remelting approach was adopted to simulate laser-based rapid solidification. The results revealed that this composite generally exhibited good laser processability, and the samples with the highest laser energy density and lowest scan speed possessed the [...]


Our summary: The study examines the microstructure, processability, and mechanical strength of an AlSi9Mg-20vol.%SiC composite. Laser surface remelting effectively enhances processability and microstructure, leading to improved mechanical properties. T5 aging treatment optimizes microhardness and strength, outperforming conventional AlSi10Mg alloys.

Microstructure, Processability, Strength, SiC-Reinforced

Publication

Effect of Cross-Section Designs on Energy Absorption of Mechanical Metamaterials

Published on 2025-09-07 by Xinnian Wang, Sina Rastegarzadeh, Yayue Pan, Jida Huang @MDPI

Abstract: Numerous studies have examined various geometric designs in cellular structures, yet the role of cross-sectional geometry remains underexplored. Cross-sections significantly influence the effective material properties of architected materials, where stress concentrations at junctions can reduce structural strength. This study investigates how different cross-sections affect energy absorption efficiency in both bending- and stretching-dominated cellular structures. Five classes of lattice structu[...]


Our summary: This study investigates the impact of cross-sectional geometry on energy absorption in mechanical metamaterials. Various lattice structures were tested to evaluate their mechanical performance and energy absorption efficiency. Results indicate that optimal cross-sections can significantly enhance yield stress across different structures, providing guidelines for future design.

cross-section design, energy absorption, mechanical metamaterials, cellular structures

Publication

取り上げるトピック: ニューロモルフィックコンピューティング、スパイクニューラルネットワーク、リーキー積分発火ニューロン、メンリスタ、シナプス可塑性、軸索遅延、シリコンニューロン、アナログVLSI、ヘッブ学習、非フォンノイマンアーキテクチャ、イベント駆動型情報処理、超並列計算、ISO/IEC 30170、IEEE 802154、IEC 61966-2-1、ISO/IEC 24765、およびISO 26262。

歴史的背景

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(日付が不明または関連性がない場合、例えば「流体力学」などでは、その注目すべき出現時期の概算値が提示されます。)

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