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Scopus-DIT 2020: International Conference on Development of Internet of Things

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Scopus-DIT
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投稿締切日:
2020-02-25 Extended
通知日:
2020-03-10
開催日:
2020-03-26
開催地:
Shanghai, China
閲覧: 15209   フォロー: 5   参加: 1

会伴インデックス (CP-I)

43.8 / 100
全 5,693 件中 第 3,367 位 · 上位 60%

ネットワーク・通信 分野 865 件中 第 526 位

根拠が限られています:この会議は CCF / ICORE / QUALIS のいずれにも収録されておらず、採択率のデータもないため、スコアの大部分は中立の基準値に戻ります。
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%) データなし — 中立の基準値 50 点として算入 —
コミュニティの注目度 (10%)
26
公開情報の充実度 (15%)
25

使用した入力: 会伴でフォローしている研究者:5 人 · 過去 24 か月にこのページを開いた研究者:2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 25% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-05

論文募集

Scopus-DIT 2020 (International Conference on Development of Internet of Things) is an academic conference held in Shanghai, China on 2020-03-26. The paper submission deadline is 2020-02-25 (extended). Acceptance notifications are sent on 2020-03-10.

The topics of DIT 2020 is include, but are not limited to : Architectures for IoT Internet of Things Architecture: Novel information architecture design on field, edge, and cloud devices; object access and networking technology; investigation of technologies that support the mobility of functions and executions across system entities. Web Technologies for the IoT: Web-based discovery, search, and service composition to facilitate interactions between devices on the IoT and with users. Integration of Physical and Virtual Artifacts and Events: Advanced object identification, classification, and localization Description and Discovery of IoT devices, including mobile and moving devices: Ontologies and data models for the description and discovery of mobile systems and applications, including autonomous systems and wearable, urban or sensory computing devices. IoT applications Real World Applications of IoT technology: Evaluation of challenges of real world deployments of Smart Cities, Industry 4.0, Industrial Internet, and GS1 implementations, including planned deployments (e.g., in advanced Manufacturing and Logistics). Physical World Event Processing and Understanding: Novel data collection, deep learning, reality mining, and prediction methods based on physical world observations. This might include real-time decision making, event processing, and extracting information from large datasets. Internet of Things and implications for user modeling: Holistic user model based on IoT-enabled data gathering, novel personalized intelligent services and applications based on user model Human-Object Interactions IoT Interactions: Novel methods and techniques for seamless human-to-object interactions, including Augmented Reality and Virtual Reality interactions, Tangible and Gestural Interfaces. Novel affordances for IoT and Smart Objects: Design of novel affordance for IoT-based smart objects Object-Object Interactions Interoperability of IoT Systems: Service discovery and composition, synchronization in distributed systems, overcoming siloization of IoT systems, semantic data description frameworks. Object-objects Interactions: methods and protocols for co-operations and coordination among objects, social internet of things, trust among objects Privacy/security in IoT Social Acceptance of IoT Systems: Data security, authentication and authorization. Privacy protection, data sharing technologies (incl. blockchain technology), tampering protection and detection in IoT systems. Privacy/Security/Real-Time Fault Correction: Ensure privacy across integrated and wireless IoT systems while also being resilient to attackers.
最終更新:Max Chen()

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CCF正式名称インパクトファクター出版社ISSN
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BSoftware & Systems Modeling3.2Springer1619-1366
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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