Development Model and Path of Future Power Grids under the Ubiquitous Electrical Internet of Things

Author(s):  
Wenqi He ◽  
Qiang Gao ◽  
Xinjian Chen ◽  
Zhi Zhang ◽  
Junhui Guo ◽  
...  
Author(s):  
Krishna Raj Bhandari

Balancing exploration and exploitation in entrepreneurial ventures enabled by Industry 4.0 has not been the focus of the existing literature. It is because the phenomenon is emerging and the focus has been to use practitioners' best practices in studying such phenomenon. In this chapter, the author combines the literature in balancing exploration and exploitation with the practitioners' best practices such as customer development model and lean startup. The author proposes that the existing models are good in principle but in order to really solve the problem in such an uncertain environment driven by big data, cloud computing, internet of things (IoT), and artificial intelligence, managers need to embed optimization algorithms in their decision making.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4356 ◽  
Author(s):  
Chien-Ying Chen ◽  
Monowar Hasan ◽  
Sibin Mohan

Modern embedded and cyber-physical systems are ubiquitous. Many critical cyber-physical systems have real-time requirements (e.g., avionics, automobiles, power grids, manufacturing systems, industrial control systems, etc.). Recent developments and new functionality require real-time embedded devices to be connected to the Internet. This gives rise to the real-time Internet-of-things (RT-IoT) that promises a better user experience through stronger connectivity and efficient use of next-generation embedded devices. However, RT-IoT are also increasingly becoming targets for cyber-attacks, which is exacerbated by this increased connectivity. This paper gives an introduction to RT-IoT systems, an outlook of current approaches and possible research challenges towards secure RT-IoT frameworks.


Author(s):  
Krishna Raj Bhandari

Balancing exploration and exploitation in entrepreneurial ventures enabled by Industry 4.0 has not been the focus of the existing literature. It is because the phenomenon is emerging and the focus has been to use practitioners' best practices in studying such phenomenon. In this chapter, the author combines the literature in balancing exploration and exploitation with the practitioners' best practices such as customer development model and lean startup. The author proposes that the existing models are good in principle but in order to really solve the problem in such an uncertain environment driven by big data, cloud computing, internet of things (IoT), and artificial intelligence, managers need to embed optimization algorithms in their decision making.


Author(s):  
Yanyan Jiang ◽  
Shen Tian

In order to improve the efficiency of transportation, this paper proposes an optimal design scheme of multi-objective scheduling system based on the Internet of Things. Under the influence of the Internet of Things, the model proposed in this paper promotes the visual management of logistics transportation, and provides the optimal route of logistics distribution route, and strengthens the intellectualization of enterprise supply chain system. With the Floyd intelligent logistics development model, the shortest distance matrix of A and the corresponding shortest intelligent path matrix of p and the intelligent path matrix of p between any two points are calculated. And find the matrix p of the optimal one relative to the optimal path. When faced with multiple tasks waiting for the distribution of the situation, we can use SWP intelligent logistics development model. By building a smart logistics information management mode, it can provide different users with corresponding intelligent data information inquiry service. The conclusions of this thesis can provide scientific basis and guidance for the decision-making of the intelligent distribution of logistics by senior managers in the enterprise.


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