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In this paper, I find that in the corporation governance literatures the research of corporation governance learning is a gap and that the corporate governance is as a learning process. I present the assumption of governance man and a learning theory of the corporation governance. The corporation governance learning is a force not to be ignored, sometime it determine the corporation success or failure,...
This paper presents a method permitting to determine the relationship between body measurements and human perception on morphology of body shapes, expressed by a set of emotional descriptors and fashion themes. It can be integrated into current garment CAD system for providing personalized design support. Two procedures of sensory evaluation have been used. The first one aims at evaluating abstract...
Globalization has a major impact on the management of human resources in developing countries especially in African countries. It has led to homogenization and convergence in organization strategies, structures and processes as well as in consumer choice. With accelerating globalization, organizations have had to change and new trends have set in even in the management of human resources. Globalization...
Researches on enterprise architecture mainly focus on business process organizing, software development, enterprise application integration and etc., but not much emphasis is focused on the enterprise technical architecture and its components. The paper proposed a domain based integrated enterprise technical architecture for a universal bank, helping to build common patterns to manage bank's technical...
Climate change is rapidly becoming known as a tangible issue that must be addressed to avoid major environmental consequences in the future. Recent change in public opinion has been caused by the physical signs of climate change-melting glaciers, rising sea levels, more severe storm and drought events, and hotter average global temperatures annually. Transportation is a major contributor of carbon...
The primers and probes were designed and synthesized according to the conserved VP1 sequences of porcine Sapovirus (SaV), and a TaqMan fluorescence quantitative RT-PCR assay were developed by optimizing the reaction conditions. Results showed that the fluorescence quantitative RT-PCR assay could detect 16.1 copies·µL−1 of plasmid DNA, while the sensitivity of the routine RT-PCR was 1.61 × 103 copies·µL...
One of the principal cues believed to be used by listeners to estimate the distance to a sound source is the ratio of energies along the direct and indirect paths to the receiver. In essence, this “direct-to-reverberant” energy ratio reveals the absolute distance component of the direct energy by normalizing by what is assumed to be distance-independent reverberant energy. Earlier approaches to direct-to-reverberant...
The auction mechanism is widely used in Web-based sites and originally designed for human beings, but it might not be the most efficient one in the future, while, there is a demand of evolutionary computation auction agents adaptable to the dynamic auction environments. In this paper, we have applied genetic network programming (GNP) to auction agents to determine a bid at each time step and developed...
A new feature description is used for human behaviour representation and recognition. The feature is based on Radon transforms of extracted silhouettes. Key postures are selected based on the Radon transform. Key postures are combined to construct an action template for each sequence. Linear discriminant analysis (LDA) is applied to the set of key postures to obtain low dimensional feature vectors...
This paper proposes a new human action recognition method which deals with recognition task in a quite different way when compared with traditional methods which use sequence matching scheme. Our method compresses a sequence of an action into a Motion History Image (MHI) on which low-dimensional features are extracted using subspace analysis methods. Unlike other methods which use a sequence consisting...
This paper proposed a new approach for recognition and matching the human behavior sequence. Each human behavior sequence is represented by its key postures to greatly reduce the computation time. Normalization is applied to all the behavior sequences key postures for matching. A dynamic time warping (DTW) algorithm is used to perform the alignment of two time series. Experiments are carried out on...
Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human...
Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture...
A novel approach for walking people detection is proposed in this paper, which is inspired by the idea of gait energy image (GEI). Unlike most of common human detection methods where usually a trained detector scans a single image and then generates a detection result, the proposed method detects people on a sequence of silhouettes which contain both appearance characteristics and motion characteristics...
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