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Demand fluctuations along with the requirements of cost-effectiveness, high customization, high product quality lead to a significant increase in manufacturing dynamics and complexity. These fluctuations disturb the work plan and lead to performance deterioration. Capacity adjustment is one of the major approaches to react on the fluctuations in demand. In this paper, we focus on improving the potential...
Recently, a hybrid deep neural network/i-vector framework has been proved effective for speaker verification, where the DNN trained to predict tied-triphone states (senones) is used to produce frame alignments for sufficient statistics extraction. In this work, in order to better understand the impact of different phonetic precision to speaker verification tasks, three levels of phonetic granularity...
The augmenting need for remote monitoring and treating patients by biophysical sensors interconnected via Body Area Networks (BAN) has recently called researchers' attention. The private and confidential transferred data in such application require high information security. One of the solutions is to use human body as a transmission channel. The body surface-confined transmission restricts the off-body...
With the development of distribution network, and the intelligentization of terminal devices in distribution automation system, it becomes key point that research the task allocation method and self-adaptive task allocation model from perspective of distributed system to improve the utilization of the devices in whole distribution network and optimize the system performance on intelligent terminal...
Automobile bumper and energy-absorbing box are the most important parts for automobile passive safety and play an important role in the safety of automobile crash. In order to improve car crash safety and reduce fuel consumption of vehicle, in this study we analyze the deformation and endoergic process of energy-absorbing box during the collision based on the software ANSYS/LS-DYNA. Taking automobile...
In order to use the method based on model to study the accurate control of cement combined grinding system, and improve its automatic control level, this paper proposes a extreme learning machine (ELM) online modeling method for combined cement grinding system. First of all, this paper analyzes the process of combined grinding system, based on the analysis of the process, we know that the speed of...
A proper temporal model is essential to analysis tasks involving sequential data. In computer-assisted surgical training, which is the focus of this study, obtaining accurate temporal models is a key step towards automated skill-rating. Conventional learning approaches can have only limited success in this domain due to insufficient amount of data with accurate labels. We propose a novel formulation...
This paper describes a switching model for cal-ciner outlet temperature via grey correlation analysis, aims to the outlet temperature control of calciner. Firstly, we analyze the cement precalcining process and find quantity of tertiary air, coal feeding and raw material feeding are the influencing factors of calciner outlet temperature. Secondly, we establish an offline mathematical model of calciner...
In this paper, a forecasting-mean-correlation-entropy portfolio optimization model (FMCE) is developed by using the fuzzy time series techniques to predict securities' future returns distribution and employing entropy as risk measurement. Traditional portfolio models such as MV model have stringent conditions to returns distribution, while entropy as a new risk measurement is free from these restrictions...
The model of external-inductor induction lamp is deduced, based on the theory of transformer. With the model, its Electronic ballast is analyzed in frequency domain. The electronic ballast design procedure and experimental results are given, which verify the model and analysis.
Expatiating on the important functions of the joint operation model in military emulation, discussing the causations of military operations based on UML, bringing forward dynamic frame class and the rule of the modeling, taking the eliminating fraise action in the attack campaign as the example to illuminating.
The development of the Internet and E-commerce makes the enterprises' competition beyond the time-space constraints. The rules of traditional market competition also have been changed. Soft power has become as important as hard power in the enterprises' development. A clear exposition of the relationship between soft power and hard power is very important for acquiring sustainable competitive advantage...
With the outbreak of global financial crisis, the stability of financial system has become a hot topic. Assuming financial system compositing of financial innovation and financial supervision, making use of nonlinear dynamic theory and Bertrand duopoly, we have deduced a nonlinear dynamic model of financial system and studied the stability of this system through model analysis and numerical simulation...
Firstly, an air passenger capacity investigation at the capital international airport is made, and a composite forecasting model based on total air passenger capacity is established, in which multiple regression and ARIMA model are parallel connection and their forecast results are series connection with BP neural network. Secondly, according to the average growth rate of air passenger capacity, all...
This paper mainly discusses the control strategy for an profit-oriented ecosystem which is described by multi-dimensional Lotka-Volterra model. The though comes from the concept of impulsive control which can reach the same effect with continuous control strategy but has much more advantages while considering the feasibility factors. The difference with other impulsive control strategies is that we...
With the development of the power system in China, more and more series capacity compensations have been used in transmission system extensively and the SSR problems caused by series capacitance compensation also come. For mitigating the SSR in transmission system, a mitigation measure based on SVC bas pointed and its control principle has been introduced. The complex torque coefficient approach based...
Open source applications have flourished over recent years. Meanwhile security vulnerabilities in such applications have grown. Since manual code auditing is error-prone, time-consuming and costly, automatic solutions have become necessary. In this paper we address program vulnerabilities by static code analysis. First, we use flow-insensitive and interprocedural constraint-based analysis to extract...
Ensuring the correctness and reliability of software systems is one of the main problems in software development. Model checking, a static analysis method, is preponderant in improving the precision of vulnerabilities detection. However, when applied to buffer overflow and other bugs, it is hard to automatically construct the model for detecting the vulnerabilities. To address this problem we propose...
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