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Social Impacts on the Maritime Education – a Case Study of National Kaohsiung Marine University in Taiwan

Hu Jia-Shen, Chang S. W., Chen T. S.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2008

Vol. 2, no. 2

197--203

Recent developments in Taiwan toward the technology intensive country, the employment of cost effective foreign labors by shipping companies, the widespread of universities and the internationalization of shipping industries propose considerable threats on the quality assurance of maritime education. A resultant crisis for lacking on-board seafarers with managerial levels has urged the consolidation of governmental, private and educational organizations in the attempts to further improve the quality of maritime education and to promote the on-board career incentives. The process from the formulation of problems to the implementation of strategies undertaken by the National Kaohsiung Marine University (NKMU) is reviewed. A chain reaction initiated from the degradation of students’ entry performances due to the widespread of universities has formed a viscous cycle leading to the outsourcing of foreign human resources by shipping industry. Strategies in the aspects of course reform, joint ventures of lectureship with shipping industry, pre-courses for students’ extended career plans and the establishment of educational center that consolidates the departments of navigation, marine engineering and fishery in NKMU are illustrated.

An efficient face detection method using skin-color discovering and chain code

Ho K. I. J., Chen T. S., Cheng C. Y.

Machine Graphics and Vision

2002

Vol. 11, No. 2/3

241-256

In this paper, we propose a method to local human faces in color image. For color images, the skin color is an important key feature for human face detection. Thus, this paper applied skin color information to segmented human face areas: first, we reduce the size of the color image, hold its ratio, and detect skin color pixels in the resized image based on the properties of skin color. Next, our method employs the detected pixels and chain code to locate continuous areas. Finally, we check the width and the height of each located area, and filter out the non-facial ones. The remaining areas the human face regions. To fully explore the efficiency and effectiveness of the proposed method, we conduct a lot of experiments on the test image used in other papers. The experimental results show that both the false positive and false negative rates are eiter equal to or better than those obtained in previous research results. Moreover, in most of experiments, the processing time of our method is shorter.