The primary objective of the study described here was to assess and summarize core aspects of the career development of American youth. A nationally representative sample of approximately 32,000 8th, 9th, and 11th graders in 200 schools participated in the study in the spring of 1973. This article focuses on the study's more salient findings and presents results in terms of what students say, do, and know about career development. A major finding is the sharp contrast between students' need for help with career planning and the help they have been receiving. In general, results support the current emphasis on career guidance and career education.
A novel scheme for mobile subscriber positioning is proposed based on the hidden-Markov model (HMM) and the cell-ID maximum-likelihood database correlation method also known as fingerprinting. Using a simulated channel environment, based on the Clearwire deployment of WiMAX base stations in San Jose, CA, we show that matching the right configuration of the model to the deployment environment can realize significant gains in performance. The proposed scheme balances the scalability inherent in hidden-Markov-based motion models deployed in large areas of interest against the existing channel conditions and computational capability. By utilizing a simulated channel this paper demonstrates the effect of base station deployment and shadowing on the fingerprint-based HMM motion model. Further, the benefits gained through scaling the HMM are explored.
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