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With the addition of online laboratories, distance education can become more meaningful and complete. Virtual laboratory is a high efficient tool for practical teaching assisted instruction. This paper design the virtual laboratory. Android application structure after analyzing the characteristics and the classification of virtual laboratory. It discusses the construction and system structure of network-based virtual laboratory which is used for MOOC (massive open online courses). This virtual laboratory environment goes based on conventional computer simulations and real cellphone test, which could provide the students with the flexibility to perform various experiments related to the fundamental law of physics, chemistry and et all. In this virtual laboratory APP, no matter the students or the instructor are represented as virtual characters. Assessment tools such as preview and review experiment tests are part of the laboratory environment which could provide different levels of the students at every step of the laboratory exercises. This paper presents a virtual lab established through data socket technology that enables the end user to design and implement control algorithms. Although this makes the problem more challenging, the quality of learning is also enhanced enormously.

Serial bus protocol has become popular and wide-used, and in many cases, it is necessary but hard to find a simple way to analyze its communication process due to its serial features. In this paper, a data acquisition based method is proposed to analyze serial bus communication with standalone clock signals. This method is tested with SPI and I2C bus data and gives the correct results. The method is proven to analyze this kind of serial protocols by translating the serial bus data into dedicated contents according to the protocol format, which extends the utility of instruments.

To effectively resolve the automatic recognition of analog pointer measuring instruments, a reading recognition method based on Hough transform is proposed. In order to simplify the following procedure, image graying and binary, mathematical morphology, including dilation and thinning, edge recognition was applied to the system. We proposed the recognition principle for reading recognition of the pointer's angle by using Hough transform. And the reading of the pointer is decided by the linear relationship between the panel's scale and the angle of the instrument's dial revolutionary. Considering that in most practical cases, the panel cannot be horizontal, so the procedure of tilt correction is employed in this paper. Finally, the software is written in MATLAB. The recognition system is achieved in LabVIEW, where the front panel of the reading system is developed. The experimental results demonstrate that our method is feasible for pointer instrument recognition.