Papers by Author: Jun Meng

Abstract: This paper introduces a smart home system with new user experience. The system uses the mobile smart terminal to recognize the smart appliance based on the real-time image of the smart appliance captured by the terminal, then the terminal generates a user-interface (UI) for the user to control the smart appliance recognized. Using this system, user no longer needs to search the smart appliance that he wants to control in the complicated menu, instead, he just use the camera to capture the image of the appliance, then he will gets the controlling UI of the appliance; it means that as long as you can see the appliance, then you can control it, and that is the “Visible-and-Controllable” effect.

Abstract: According to the analysis of every feature element’s grey images in RGB color space and HSI color space, each of the elements represents different information of the color image. From the analysis of the Histogram of color images, the value range of hue H basically keeps stable, which is proved by experiments to be the most stable and representative one. Finally we illustrated by application instances that the method of recognition and tracking of the objective moving robot based on hue character H is applicable.

Abstract: Power load is significant for the power system load forecasting, system planning, and so on. Because of its subject to weather, climate and the impact of social systems, it shows complex nonlinear characteristics. Especially when the electricity market is established, its nonlinear dynamics is also guided by the market mechanism. Facing to this, a study is done based on the load data of a certain node in Zhejiang Province grid, extracted its Hurst exponent and the box dimension, calculated the maximum Lyapunov exponent and the K entropy. It proves the nonlinear dynamic characteristics of power load under electricity market, and reconstructs its phase space.