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

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截稿日期:
2020-02-25 Extended
通知日期:
2020-03-10
会议日期:
2020-03-26
会议地点:
Shanghai, China
浏览: 15001   关注: 5   参加: 1

会伴指数 (CP-I)

43.8 / 100
全站第 3,246 名 / 共 5,651 个会议 · 前 58%

网络与通信 第 509 / 862

证据有限:这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里,也没有录用率数据,因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入
会议传承 (20%) 无数据 —— 按中性基准 50 分计入
社区关注 (10%)
26
资料公开度 (15%)
25

用到的输入: 在会伴关注它的研究者:5 人 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-07

征稿

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.
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