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The Dynamic Adaptive Streaming over HTTP (DASH) is specified to cope with the changing network conditions and provide an adaptive bit-rate HTTP-based streaming solution. While there have been many researches of rate adaptation algorithms on adaptive HTTP streaming, much of the work is focused on Video on Demand (VoD) service — which is not same as live streaming. It is generally preferred to minimize...
This paper proposed CatLinks, a category clustering algorithm based on multi-class regression. In recommender systems for e-commerce web sites, users' experience of recommendations highly relies on the diversity of purchase suggestions. Taking inexpensive training data as products' literal information and their categories, CatLinks extracts latent features of categories and construct presentation...
Based on the actuarial model, this paper analyzes the payment guarantee and operation sustainability of maternity insurance fund. By forecasting different economic growth situations, average level of annual salary, insured maternity population and medical expenditure growth rates, this paper has done a simulation research on the different policies scenarios. The result shows: the current residual...
Learning from the issuing experiences of the international catastrophe bond market, this paper analyzes the existing obstacles we are facing. On the basis of current law, capital markets, we discusses three feasible issuing modules for the issurance of the catastrophe in China as follows: domestic (re)insurance company or government as sponsor to issue catastrophe bond based on foreign insurance company's...
A new scenario of multiple access technology for beyond 3G wireless communications named CDD- dual-CDMA is proposed. CDD (code-division duplex) is a method to improve the spectrum efficiency by adding smart codes into time-division duplex (TDD) technology. The concept of dual-CDMA (dual-code division multiple access) is dividing traffic channels by both LAS (large area synchronous) codes and LS (loosely...
This paper is devoted to the analysis of the job-shop scheduling and sequencing problem for a repetitive production process. An heuristic algorithm is described to find a near optimal solution such that the bottleneck machines are fully utilized in steady-state with a minimal number of jobs in-process. The developments are carried out using a modelling based on Timed Petri Nets.
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