The Energy Internet has become a hot topic for the integration of sustainable energies. However, as a result, there are numerous sustainable energy forms and participants, the system is extremely complex, and some key issues are difficult to overcome, such as the control and management of distributed sustainable energy forms. On the other hand, blockchain technology consists of distributed data storage, peer-to-peer transmission, a consensus mechanism, encryption algorithms, and smart contracts. Applying the technical advantages of the blockchain to the Energy Internet can solve many of the problems that hinder its development. The purpose of this paper is to review the development of blockchain and the Energy Internet, and provide some references for the possible applications of blockchain technology to the Energy Internet. Firstly, the definition and characteristics of blockchain and the Energy Internet are introduced in detail. Secondly, the compatibility of the two is analyzed. Then, several application scenarios of blockchain in the Energy Internet are put forward. Finally, the challenges that still exist when applying the current blockchain technology to the Energy Internet are analyzed.

This paper investigates the ability of a quadrotor to maneuver in a wind field. A dynamic model of a quadrotor is presented to model its motion. The quadrotor model includes a wind effect model to quantify the effect of wind on the dynamics of a quadrotor. A proportional-integral-derivative (PID) controller is shown as a baseline controller typically used on quadrotors. A LQR controller is then shown as an alternative to a PID controller. These two controllers are compared in a simulation environment using the wind effect model and simulated wind disturbances. Both controllers are found to have similar performance in a wind field, though the LQR controller is found to be easier to tune.

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Tracing the complicated yet still relatively unripe area of the Internet of Things search engine---from concepts, to classification, and open issues.

Semantic Ambiguation refers to the disagreement in meaning of terms used by parties in communication due to polysemy, leading to increased complexity and lesser accuracy in information integration, migration, retrieval and related activities. Semantic Disambiguation can be performed through establishing and reconciling relative positions of parties in communication by matching their terms' meanings to a common domain-specific ontology -a knowledge representation showing concepts, organized into domains, and relationships between them. In this paper, based on the wide existence and limitations of established hierarchical ontology in a form of Classification Schemes, we proposed a novel ontology structure combining the structured nature of hierarchy with expressive capability of graphs, called Graph-embedded Tree (GeT), and a novel approach to construct a GeT-based Ontology. Evaluation was performed on United States Patent Classification System (USPC); the results showed that the information retrieval backed by GeT-based ontology yields better disambiguation capability than other typical patent search methods.