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Distribution Reliability and Automation01:25

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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知識管理のスマートアプリケーションのためのAIエッジクラウドサービスプロビジョニング

Antonio Maciá-Lillo1, Higinio Mora2, Antonio Jimeno-Morenilla2

  • 1Department of Computer Science and Technology (DTIC), University of Alicante, 03690, San Vicente del Raspeig, Spain. a.macia@ua.es.

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まとめ

この研究は,スマートシティの知識管理のためのサーバーレスエッジクラウドアーキテクチャを提案し,効率を高め,遅延を軽減します. ハイブリッドアプローチは,Society 5.0の目標のためのデータ処理と計算を最適化します.

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科学分野:

  • コンピュータ科学
  • 都市計画
  • 情報システム

背景:

  • スマートシティは人間中心のデータ主導の環境を 目指しています
  • 知識管理 (KM) プロセスは,スマートシティの機能に不可欠です.
  • 既存のアーキテクチャは KM のレイテンシー,コスト,スケーラビリティの課題に直面しています.

研究 の 目的:

  • スマートシティKMプロセスのための新しいサーバーレスエッジクラウドアーキテクチャを調査します.
  • スマートシティ アプリケーションの応答性と効率性を向上させる
  • KMのためのハイブリッドエッジクラウド環境の特性,機会,および制限を分析する.

主な方法:

  • クラウド,エッジ,サーバーレスコンピューティングを組み合わせたハイブリッドアーキテクチャを提案した.
  • 拡張性や近接性に基づく処理のためのエッジを活用したクラウド
  • 実験的な分析を行い,パフォーマンスの利点を評価した.

主要な成果:

  • データの送信時間が短縮され,ネットワークの混雑が軽減されました.
  • ハイブリッドアーキテクチャ内のコスト効率の高いコンピューティングオプションを紹介しました.
  • KMのエッジ環境とクラウド環境の主要な特徴,機会,および制限を特定しました.

結論:

  • サーバーレスエッジクラウドアーキテクチャは,スマートシティのKMプロセスを効果的にサポートします.
  • この枠組みは,知識主導のサービスとスマートシティのアプリケーションを進めるための柔軟性を提供します.
  • 都市ガバナンスにとって,最適化されたデータ処理と 遅延時間が重要な利点です.