在数学活动中实现数学化——“按比例分配应用题”教学片断及评析

师：看到这句话，你想到了什么？ 生1：男生有3份，女生有4份，一共有7份。

“按比例分配在生活中的应用”设计与反思

[教学内容]“按比例分配在生活中的应用”。 [教学目标]①认知目标：学生能进一步理解按比例分配的重要性，能熟练掌握按比例分配应用题的解法，并能找到按比例分配应用题与学过的应用题的解法的联系，使所学知识融会贯通。同时培养善于从不同的角度来观察，分析和解决问题的能力。

多核系统的多应用任务映射方法研究

在多核处理器系统中,多个计算任务映射到多核处理器内核的方式对于系统吞吐率至关重要。针对此问题提出一种新的多应用任务到多核的映射算法,该算法在应用到来之前预测应用的相关性能,并采用分支限界法提前为未来应用预留合适的内核几何位置。当应用真正到来时,根据预留的区域完成映射。实验结果表明,该算法相比其他传统算法,在多任务通信量的减少和多核系统的吞吐率等方面都收到了良好效果。

基于机器视觉检测的裂缝特征研究

裂缝作为土木工程中常见的病害,随着基于机器视觉检测设备的不断优化,如何对裂缝进行高效的识别与统计是整个系统高效运行的关键。然而这两者均涉及的一点就是特征选取。初选定特征后,如何对特征进行合理的分配应用是个需要探讨的问题。本文围绕裂缝特征及其应用展开,在选定裂缝特征之后,首先对应用部分裂缝特征的有效性进行了验证,即通过对处理得到的两值图像进行初筛选滤去大部分杂质;其后根据RBF-SVM算法建立自动判别模型,分别将6个特征(全部)和3个特征(部分)作为输入参数的工况进行结果对比,表明该模型具有很好的适应性,且均能高效实现裂缝识别,进而验证了裂缝特征分配应用的必要性。

蓝牙A/V Profiles的功用和发展前景

由松下、东芝、索尼以及飞利浦等8家公司组成的“BIuetooth Audio/Video(A/V)Working Group”公布了将Bluetooth作为传输媒体传输高品质的动态图像数据以及音乐数据的扩展标准“A/V Profiles”。A/V Profiles作为视听传输标准,共有5个Profiles。它包括:(1)通用A/V分配应用协议(Generic Audio/Video Distribution Profile);(2)A/V分配传输协议(Audio/Video Distribution Transport Protocol);(3)A/V控制传输协议(Audio/Video Control Transport Protocol);(4)高级语音分配应用协议(Advanced Audio Distribution Profile);(5)A/V远程控制传输协议(Audio/Video Remote Control Transport Protocol)。下面将简单介绍这五个A/V Profiles的功用。

联系生活实际的数学作业一例

教学“按比例分配应用题”时，我留给学生一个课后作业，内容是：1．调查一件按比例分配的事物，先了解组成其各部分量的比是多少，然后整理数据；编一道或几道按比例分配应用题。2．写一篇完成本次作业的数学日记。

也谈“一题多解”

一题多解是我们根据知识之间内在联系，用多种知识解答一道题。适时适度的进行一题多解，能激发学习数学的兴趣，体验数学学习方法的神奇，也能提高运用所学知识解决简单的实际问题的能力。

A Novel Deep Learning Method for Application Identification in Wireless Network

In modern wireless communication network, the increased consumer demands for multi-type applications and high quality services have become a prominent trend, and put considerable pressure on the wireless network. In that case, the Quality of Experience(Qo E) has received much attention and has become a key performance measurement for the application and service. In order to meet the users' expectations, the management of the resource is crucial in wireless network, especially the Qo E based resource allocation. One of the effective way for resource allocation management is accurate application identification. In this paper, we propose a novel deep learning based method for application identification. We first analyse the requirement of managing Qo E for wireless communication, and review the limitation of the traditional identification methods. After that, a deep learning based method is proposed for automatically extracting the features and identifying the type of application. The proposed method is evaluated by using the practical wireless traffic data, and the experiments verify the effectiveness of our method.

Advanced User-Based Interaction Model in Cloud

With the increasing popularity of cloud computing, there is an increased de mand for cloud resources in cloud. It has be come even more urgent to find solutions to improve resource utilization. From the per spective of a cloud consumer, a cloud applica tion processes a large information flow in volving user actions that access resources, but little work has so far been devoted to research from the perspective of the interaction be tween the user and the cloud application. In this paper, we analyze the interaction in detail, and propose a general mathematical interac tion model to formulate the challenge pertain ing to storage resource allocation as an opti mization problem, focusing on minimizing both the user＇s cost and server＇s consumption. A potential response mechanism is then de signed based on the interaction model. Fur thermore, the proposed model is used to ex plore strategies when multiple users access the same file simultaneously. Additionally, an improved queuing system, namely M/ G~ oo queue with standby, is introduced. Finally, an evaluation is presented to verify the interac- tion model.

QoE-Oriented Resource Allocation for Multiuser-Multiservice Femtocell Networks

The pursuit of high data rate and assurance of quality of experience(QoE) for end users represent the main goals of future wireless communication systems.By introducing MOS(Mean Opinion Score) based assessment models for different types of applications,this paper proposed novel QoE-oriented radio resource allocation(RRA) algorithms for multiuser-multiservice femtocell networks.An optimal QoE-oriented RRA strategy is first analyzed using time-sharing method which is applicable to best effort applications.RRA algorithms based on the cross-layer architecture are then proposed for all types of applications by considering parameters extracted from different layers of networking protocols.In the proposed algorithms,a priority mechanism is employed to ensure fairness.Simulation results show that the proposed algorithms can significantly improve the overall perceived quality from the users' perspective in comparison with traditional Quality of Service(QoS)oriented algorithms.

A novel resource co-allocation model with constraints to budget and deadline in computational grid

To address the issue of resource co-allocation with constraints to budget and deadline in grid environments, a novel co-allocation model based on virtual resource agent was proposed. The model optimized resources deployment and price scheme through a three-side co-allocation mechanism, and applied queuing system to model the work of grid resources for providing quantitative deadline guarantees for grid applications. The validity and solutions of the model were presented theoretically. Extensive simulations were conducted to examine the effectiveness and the performance of the model by comparing with other co-allocation policies in terms of deadline violation rate, resource benefit and resource utilization. Experimental results show that compared with the three typical co-allocation policies, the proposed model can reduce the deadline violation rate to about 3.5% for the grid applications with constraints to budget and deadline. Also, the system benefits can be increased by about 30% compared with the those widely-used co-allocation policies.

Non-dominated sorting quantum particle swarm optimization and its application in cognitive radio spectrum allocation

In order to solve discrete multi-objective optimization problems, a non-dominated sorting quantum particle swarm optimization (NSQPSO) based on non-dominated sorting and quantum particle swarm optimization is proposed, and the performance of the NSQPSO is evaluated through five classical benchmark functions. The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value. Therefore, QPSO is used as the evolutionary method of the proposed NSQPSO. Also NSQPSO is used to solve cognitive radio spectrum allocation problem. The methods to complete spectrum allocation in previous literature only consider one objective, i.e. network utilization or fairness, but the proposed NSQPSO method, can consider both network utilization and fairness simultaneously through obtaining Pareto front solutions. Cognitive radio systems can select one solution from the Pareto front solutions according to the weight of network reward and fairness. If one weight is unit and the other is zero, then it becomes single objective optimization, so the proposed NSQPSO method has a much wider application range. The experimental research results show that the NSQPS can obtain the same non-dominated solutions as exhaustive search but takes much less time in small dimensions; while in large dimensions, where the problem cannot be solved by exhaustive search, the NSQPSO can still solve the problem, which proves the effectiveness of NSQPSO.

Application of Pareto Distribution in Wage Models

This paper deals with the use of Pareto distribution in models of wage distribution. Pareto distribution cannot generally be used as a model of the whole wage distribution, but only as a model for the distribution of higher or of the highest wages. It is usually about wages higher than the median. The parameter b is called the Pareto coefficient and it is often used as a characteristic of differentiation of fifty percent of the highest wages. Pareto distribution is so much the more applicable model of a specific wage distribution, the more specific differentiation of fifty percent of the highest wages will resemble to differentiation that is expected by Pareto distribution. Pareto distribution assumes a differentiation of wages, in which the following ratios are the same： ratio of the upper quartile to the median; ratio of the eighth decile to the sixth decile; ratio of the ninth decile to the eighth decile. This finding may serve as one of the empirical criterions for assessing, whether Pareto distribution is a suitable or less suitable model of a particular wage distribution. If we find only small differences between the ratios of these quantiles in a specific wage distribution, Pareto distribution is a good model of a specific wage distribution. Approximation of a specific wage distribution by Pareto distribution will be less suitable or even unsuitable when more expressive differences of mentioned ratios. If we choose Pareto distribution as a model of a specific wage distribution, we must reckon with the fact that the model is always only an approximation. It will describe only approximately the actual wage distribution and the relationships in the model will only partially reflect the relationships in a specific wage distribution.