scholarly journals An Improved Framework for C-V2X Systems with Data Integration and Identity-based Authentication

2021 ◽  
Author(s):  
Rui Huang
Keyword(s):  
Bottom Layer ◽  
Autonomous Driving ◽  
Integrated System ◽  
Smart Devices ◽  
Fusion Model ◽  
Current Trends ◽  
Multiple Data ◽  
Multiple Devices ◽  
Identity Based ◽  
Time Frames

Current trends of autonomous driving apply the hybrid use of on-vehicle and roadside smart devices to perform collaborative data sensing and computing, so as to achieve a comprehensive and stable decision making. The integrated system is usually named as C-V2X. However, several challenges have significantly hindered the development and adoption of such systems. For example, the difficulty of accessing multiple data protocols of multiple devices at the bottom layer, and the centralized deployment of computing arithmetic power. Therefore, this work proposes a novel framework for the design of C-V2X systems. First, a highly aggregated architecture is designed with fully integration with multiple traffic data resources. Then a multilevel information fusion model is designed based on multi-sensors in vehicle-road coordination. The model can fit different detection environments, detection mechanisms, and time frames. Finally, a lightweight and efficient identity-based authentication method is given. The method can realize bidirectional authentication between end devices and edge gateways.

scholarly journals METAMODEL FOR SAFETY AND SECURITY INTEGRATED SYSTEM ARCHITECTURE MODELING

2021 ◽  
Vol 1 ◽  
pp. 2027-2036
Author(s):  
Aschot Kharatyan ◽  
Julian Tekaat ◽  
Sergej Japs ◽  
Harald Anacker ◽  
Roman Dumitrescu
Keyword(s):  
Information And Communication Technologies ◽  
Systems Engineering ◽  
System Development ◽  
Autonomous Driving ◽  
Integrated System ◽  
Product Complexity ◽  
System Architectures ◽  
Failure Propagation ◽  
Architecture Modeling ◽  
Systemic Development

AbstractAs digitization progresses, the integration of information and communication technologies in technical systems is constantly increasing. Fascinating value potentials are emerging (e.g. autonomous driving), but also challenges in the system development. The constantly increasing product complexity and degree of networking require a systemic development, which is fulfilled by established approaches of Model-Based Systems Engineering (MBSE). To ensure the reliability of tomorrow's systems, an integrative and early consideration of security and safety is additionally required. In order to show the possibility and consequences of failures and attacks, the paper develops a modeling language that links established and partly isolated security and safety approaches within a consistent metamodel. The developer is enabled to synthesize system architectures transparently on an interdisciplinary level and to analyze attack and failure propagation integratively. The approach uncovers synergetic and especially contrasting goals and effects of architectural designs in terms of safety and security in order to make adequate architectural decisions based on trade-off analyses.

scholarly journals Giok the Alien: An AR-Based Integrated System for the Empowerment of Problem-Solving, Pragmatic, and Social Skills in Pre-School Children

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2368 ◽  
Author(s):  
Maria Lorusso ◽  
Marisa Giorgetti ◽  
Simona Travellini ◽  
Luca Greci ◽  
Andrea Zangiacomi ◽  
...  
Keyword(s):  
School Children ◽  
Integrated System ◽  
Smart Devices ◽  
Typically Developing ◽  
Design Development ◽  
Social Functions ◽  
Software Application ◽  
Use Of Technology ◽  
Strategic Behaviors ◽  
Smart Tv

The use of technology for educational purposes is a consolidated reality, and many new tools are constantly being devised and offered for use with both normally developing children and children with special needs. Nonetheless, a detailed analysis of the processes being stimulated and of the goals being pursued is often lacking or absent. In this work we describe the design, development and preliminary testing of an integrated system which combines the use of smart devices, a physical cube, augmented reality (AR) technology, a smart TV, and a software application especially designed to stimulate cognitive and social functions in pre-school children. The system was tested with three groups of children (25 children in total) during kindergarten activities. The results show that the system is easy to understand, elicits high levels of participation and social interaction, favors strategic behaviors, and can be used by the children with limited need of instruction and support by the adult. The implications for empowerment in typically developing children and the possibilities for use with children who have specific impairments in social communication are discussed.

scholarly journals Investigating Warehousing Operations from an Integrated Supply-Chain and Transportation Approach

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Sushant Siddharth Wanjari
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Geographical Location ◽  
Autonomous Driving ◽  
Integrated System ◽  
Transport Costs ◽  
Spatial Understanding ◽  
Organizational Perspective ◽  
Future Challenges ◽  
The Impact

Transportation a primary step in the supply chain of goods. The responsive time between the parts of this chain may critically affect the duration of the processes. By accounting on an integrated system, warehouses can increase the accuracy and reliability of the processes. This paper analyzes the feasibility of integrated transportation and warehousing platforms from two points of view: infrastructure (e.g. physical place, geographical location) and organizational perspective (e.g. software, data, models). This paper contributes to fill the gap between practitioners and researchers about the needs of both systems. This paper found that transportation and warehousing are two inherently linked systems. However, the current practice lacks substantial improvements in data collection and modeling of these systems. Future directions point towards the use of big data and the implementation of econometric concepts (i.e. choice models), together with a spatial understanding of the impact of warehousing locations (i.e. accessibility concept) in transport costs. E-commerce, big data, and autonomous driving are the future challenges to integrating these two systems of warehousing and transportation. Finally, with the current pandemic of COVID-19, improving freight services is becoming a basic need. This paper contributes to a better understanding of the needs of integrating transportation and warehousing in the current challenging times.

A Decision Fusion Model for 3D Detection of Autonomous Driving

2018 ◽  
Author(s):  
Zhen Ye ◽  
Jianru Xue ◽  
Jianwu Fang ◽  
Jian Dou ◽  
Yuxin Pan
Keyword(s):  
Autonomous Driving ◽  
Decision Fusion ◽  
Fusion Model

scholarly journals A Method for Extracting High-Quality Core Data from Edge Computing Nodes

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yanping Chen ◽  
Mingdao Zhao ◽  
Hong Xia ◽  
Xiaodong Jin ◽  
Zhongmin Wang ◽  
...  
Keyword(s):  
Data Center ◽  
Heterogeneous Data ◽  
Edge Computing ◽  
Smart Devices ◽  
Tensor Model ◽  
Fusion Model ◽  
High Quality ◽  
Data Set ◽  
Core Data ◽  
High Data

Intelligent factory has the characteristics of wide data sources, high data dimensions, and strong data relevance. Intelligent factories need to make different decisions for different needs, so they need to efficiently analyze these data and explore the inherent laws contained in them. At the same time, the increasing amount of data brings various burdens to the network infrastructure between users and smart devices. For the above needs, this paper proposes a tension-based heterogeneous data fusion model in the edge computing layer, which represents the multisource heterogeneous data in the industrial scene as a tensor model, and uses the incremental decomposition algorithm to extract high-quality core data. The model reduces the data flow between the data center and the central cloud while retaining the core data set. Experiments show that the approximate tensor reconstructed from the tensor with 15% core data can guarantee 90% accuracy.

scholarly journals Intelligent IoT-Based Cross-Border e-Commerce Supply Chain Performance Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lei Xia ◽  
Sitong Liu
Keyword(s):  
Supply Chain ◽  
Performance Optimization ◽  
Information Acquisition ◽  
Decision Model ◽  
Autonomous Driving ◽  
Smart Devices ◽  
Automated Production ◽  
Cross Border ◽  
High Internal Consistency ◽  
Source Of Information

Internet of Things (IoT) technology can benefit automated production, agriculture, intelligent autonomous driving, and many other industries by using billions of smart devices. As a good example, intelligent IoT and 5G are the main source of information acquisition and play an important role in the multiobjective optimization process of the supply chain. This paper develops an optimal management and coordination method to improve the performance of cross-border e-commerce supply chain by using IoT tracking technique and multiobjective decision-making. The numerical results justify that our proposed scheme has high internal consistency, with the Cronbach’s alpha factor of each dimension of the optimized decision model all greater than 80%.

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