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This paper will focus on the role of the consumer culture in Dee’s identity construction in Everyday Use. Dee’s identification with the female image and her aestheticization of the reality and the history of African American reflect consumer culture acts as the “Other” in the Dee’s identity construction. However, consumption culture also serves as the domain where Dee establishes her self-identity as a black female in a white-dominant world. Through the exploration of the double role of consumer culture in Dee’s identity construction, this thesis advocates that in Every Use Walker presents the new black women dilemma in white-male consumer society and her thought on how to construct black female identities under the invasion of consumer culture into the American South, so that to some extent it makes certain contribution to the issue how women construct their own identity in the consumer society full of survival anxiety.
Innovation design for complex products is a difficult issue in the military
manufacturing industry. Ontology may provide a feasible way to rebuild the
design process for complex products via sharing and reusing of design
knowledge. In this paper, a design method used in the innovation design process
of the complex products with knowledge modeling is proposed. Knowledge modeling
is realized through ontology construction by combining the cycling evolutional theory
of constructing ontology and OWL (Ontology Web Language)-based knowledge
representation. As a case study, the satellite is selected as one of the
complex products. The application domain of the satellite ontology is analyzed.
According to the analysis result, the knowledge structure of satellite ontology
is put forward based on OWL. The application of satellite product design shows
that the method can effectively organize and reuse the knowledge resources in
the innovation design of complex product and help companies to create more
competitive products based on the existing knowledge and experience.
A multi-class method is proposed based on Error
Correcting Output Codes algorithm in order to get better performance of attack
recognition in Wireless Sensor Networks. Aiming to enhance the accuracy of
attack detection, the multi-class method is constructed with Hadamard matrix and two-class Support Vector Machines. In order to minimize the
complexity of the algorithm, sparse coding method is applied in this paper. The
comprehensive experimental results show that this modified multi-class method
has better attack detection rate compared with
other three coding algorithms, and its
time efficiency is higher than Hadamard coding algorithm.