Jiajian Yin

Work place: Computer Science Dept., SUN YAT-SEN Unversity, GuangZhou, China

E-mail: yinjiajian_100@163.com


Research Interests:


Author Articles
Apply Student-Centered Learning on Computer Education

By Yiqun Chen Jiajian Yin

DOI: https://doi.org/10.5815/ijeme.2011.04.11, Pub. Date: 29 Oct. 2011

It has been long noticed that students are lacking the motivation for those type of teacher-centered learning environment. Student-Centered Learning (SCL) is used in the literature to indicate the shift of emphasis from the teacher to the student as the heart of the learning process. In this work we have discussed the methodology of SCL, presented our experience of applying SCL on computer education. Students play the active role in this process and take responsible for their own learning. Tutors are required to use new method to deliver knowledge, being a guider more than an expert.

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Construction of Cisco Virtual Lab Platform

By Gang Zhang Jiajian Yin Xiaomin He Qinling Zhong

DOI: https://doi.org/10.5815/ijeme.2011.03.07, Pub. Date: 29 Sep. 2011

In experiment of network engineering and network construction, students are required to configure Cisco network equipment. Due to limit of lab environment, amount of equipment is not enough and some experiments require much more expensive and higher level equipment that are not practical to purchase and maintain. It is meaningful to use network equipment simulator on PCs. The proposed platform utilizes Dynamips simulator to simulate routers and switches of Cisco product series. Dynamips supports directly loading Cisco IOS images and provides configuration interface as true equipment’s. It has very good teaching effect in experiment of network engineering. And success of the proposed platform shows it can be used in other network related courses.

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A Simple, Yet Rapid and Effective Method for LogP Prediction of Dipeptides Based on Theoretical Descriptors (HMLP)

By Jiajian Yin Yong Liu

DOI: https://doi.org/10.5815/ijem.2011.01.08, Pub. Date: 8 Feb. 2011

The hydrophobicity of peptide is an important factor that affects the dissolution behavior of proteins and peptides, also affect the physical and chemical properties. In this study, each amino acid side chain was characterized using three structure parameters (heuristic molecular lipophilicity potential, HMLP). The HMLP parameters, total surface area(S), lipophilic indices (L), and hydrophilic indices (H) of amino acid side chains are derived from theoretical computation. Based on HMLP descriptors, QSAR models of the logP were constructed for blocked and unblocked dipeptides by multiple linear regression (MLR) and support vector regression (SVR). All the results showed that the logP relates to the total surface area(S) and hydrophilic indices (H), and the prediction results of SVR are better than that of MLR. The prediction results are in agreement with the experimental values. The result shows HMLP parameters (S,L,H) could preferably describe the structure features of the peptides responsible for their octanol to water partition behavior.

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