Environment protection is a crucial part of a smart city. Environmental big data analysis is an important way to improve environment modeling and city planning, which plays an important role in environment protection. Applications for environmental big data analysis involves collecting, storing, processing,...

Based on sensitivity analysis theory, the technical and economic aspects of a new generation of intelligent substation was researched in this paper. Isolation circuit breaker, land prices and the influence of two factors on the substation investment were our main focuses, we have determined sensitivity...

Behavior energy consumption is getting more attention in building energy consumption field. To distinguish the energy behavior related to sockets, a new smart socket was designed and many electrical parameters can be acquired in high frequency. This socket supports remote control, and it supports TCP...

Simulation based decision making tools, such as simulation cloning, "what-if" analysis, and etc., has being a beneficial way to analyzing of multiple alternative scenarios, however, there is no guarantee that a simulator could obtain a feasible scenario meeting the flood mitigation requirements, let...

This paper describes component sizing problem of a tram powered by a hybrid system based on fuel cell system (FCS) and a battery pack. The FCS delivers stationary power while the battery provides dynamic power. In this paper, we report on an optimization problem of powertrain parameters for a pre-defined...

In view of the current lack of mutual exchanges and mutual learning problems in the learning process Chinese college students, this paper presents SNS network learning community model and construction method based on analysis the students' learning interest in the same data, the students are divided...

In this paper, finite element analysis was carried out to simulate the response of printed circuit board (PCB) assembly that fell and collided with a rigid surface using dropping simulation. The drop process was simulated by setting the drop parameters including falling directions and falling heights....

In order to improve the accuracy and speed of power forecasting in power SCADA system, a distributed real-time steaming forecasting model is designed based on K-means algorithm and Random Forest algorithm in the Spark machine learning library (MLlib). The model uses the sliding window mechanism to segment...

A compact dual-polarization dual-band planar antenna with two orthogonal stubs structure is proposed for MIMO mobile handsets in the paper. The antenna can cover more than ten mobile applications in dual-bands with -6dB bandwidth of 34% (1.987-2.8GHz) for TD-SCDMA (2.3-2.4GHz), WCDMA (1.92-2.17GHz),...