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Learning acoustic models directly from the raw waveform data with minimal processing is challenging. Current waveform-based models have generally used very few (∼2) convolutional layers, which might be insufficient for building high-level discriminative features. In this work, we propose very deep convolutional neural networks (CNNs) that directly use time-domain waveforms as inputs. Our CNNs, with...
We consider how data caps affect competition between a cable ISP and a DSL ISP. Utility is a function of users' relative interest, time devoted to each application, and application performance. Users maximize surplus by making ISP subscription choices and by controlling the time devoted to Internet activities. ISPs maximize profit by competing through tier prices, tier rates, network capacities, data...
We propose models to evaluate the impact of data caps upon subscribers and Internet Service Providers (ISPs). These models incorporate the time users devote to Internet applications and the opportunity cost of a user's free time. We consider a monopoly ISP that maximizes profit by setting tier prices, tier rates, network capacity, data caps, and overage charges. We illustrate which users are affected...
In order to improve the forecasting accuracy for clean energy consumption with inherently high complexity, a hybrid learning paradigm integrating genetic algorithm (GA) and least squares support vector regression (LSSVR), i.e., GA-LSSVR model, is formulated in this study. In this learning paradigm, LSSVR, as a powerful artificial intelligence tool, is employed to forecast clean energy consumption,...
With the increasing development of e-commerce application, e-commerce system security is facing the heavy challenge. To solve the purpose of intensifying the behavior trustworthiness and controllability of e-commerce system, we focus on building the trustworthy model between e-commerce system and user behaviors and strengthening the manageability of e-commerce systems. This paper by setting up the...
This paper introduces an evaluation model for the university scientific research capability based on improved discrete Hopfield neural network ,which can provides scientific reference for colleges and universities to identify the status of their own research capability, enhance scientific research capability and improve their ranks. The model makes concepts of evaluation for scientific research indexes...
This paper discusses a problem of economic manufacturing quantity and sell pricing for an unreliable production systems. A profit model is formulated in which production uptime, production rate and sell pricing are treated as decision variables. Then, for given production rate and sell pricing, we show that the objective function is unimodal. Moreover, the upper bound and lower bound of production...
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