Promoting information technology (IT) industry and identifying the critical success factors contributing to the success of IT companies are of special concerns for the Vietnamese government. This conceptual framework is formed to explore "The key determinants of success of software companies in Vietnam". A number of factors have been identified from reviewing of relevant literature for an investigation. They are: vision, operation capacity, founder personality, finance, and employee ability. This coming research will use quantitative research method, conducted from surveying of 120 managers of 55 software companies in Vietnam. However, due to the nature of this conceptual paper, the results will not be analyzed and discussed in the paper until the ending of this project in August, 2012. The research will contribute to better understanding of existing literature related to factors contributing to success of software companies in Vietnam.

Hand gesture recognition has been studied for a long time. However it still is a challenge field. Furthermore, hand gesture recognition as a natural way to control devices in smart-house such as television, light, fan, camera, door often require high accuracy. This paper proposes a simple and effective technique to recognize a pre-defined hand gesture set. The defined dynamic gestures are represented in both hand shape changing during temporal dimension and direction of hand movements. In the proposed technique, we analyze Spatial-Temporal features that includes characteristics of a hand gesture such as cycle pattern, different in length, non-synchronization phase, After that we evaluate the proposed technique in term of recognition rate and computational time.