多营销渠道模式下H酒店客房销售渠道的选择分析

“互联网+酒店管理”背景下,酒店的客房销售渠道从单一向多样化发展,同时,顾客选择何种渠道订购客房服务受价格和非价格等多种因素影响。因此,如何综合考虑多种因素对酒店客房多销售渠道模式进行评价和排序,对提高酒店客房销售收益至关重要。基于此,本文运用层次分析法(Analytic Hierarchy Process,AHP)对酒店客房销售渠道选择进行量化分析,研究其在实际决策中的运用。结果表明:在线旅行社(online travel agent,OTA)的优先级别最高,其次是门市预订、官网预订、酒店APP预订、旅行社、批发商和电话预订。     

Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city

The Internet of Things (IoT) is a revolutionary technique of sharing data for smart devices that generates huge amounts of data from smart healthcare systems. Therefore, healthcare systems utilize the convergence power and traffic analysis of sensors that cannot be satisfactorily handled by the IoT. In this article, a novel mutation operator is devised and incorporated with the differential evolution (DE) algorithm. Two tests have been conducted in the validation process. Firstly, the newly dual adaption-based operators incorporated with the differential evolution algorithm are being proposed. The proposed approach provides sufficient diversity and enhances the search speed of nature’s local and global search environments in the problem. The proposed method incorporates the application of IoT-based smart healthcare. Second, an application-based test has been conducted, in which the proposed approach is applied to the application in the smart healthcare system. Therefore, IoT sensor deployment is an optimization problem to minimize service time, delay, and energy loss by considering the communication constraint between sensors(objects). The proposed algorithm is applied in this article to solve this optimization problem. Further, in the experimentation and comparative study, the proposed method is superior to the standard evolutionary algorithms in IoT applications concerning the minimum number of function evaluations and minimization of traffic services. The proposed approach also achieves efficiency in the minimum loss of energy in each service and reduces load and delay.     

Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach

This article examines a multi-user mobile edge computing (MEC) system for the Internet of Vehicle (IoV), where one edge point (EP) nearby the vehicles can help assist in processing the compute-intensive tasks. For the MEC networks, the majority of existing works concentrate on the minimization of system cost of task offloading under the perfect channel estimation, which however fails to consider the practical limitation of imperfect channel estimation (CSI) because of vehicles’ high-mobility. Therefore, the goal of our study is to reduce the delay as well as energy consumption (EC) of computation and communication with imperfect CSI, which are the two significant performance metrics of MEC network. With this aim, we first express the system cost as a form of the linear combination of the delay and EC, and then formulate the optimization problem for the system cost. Moreover, a novel deep approach is proposed, which is integrated by deep reinforcement learning (DRL) with the Lagrange multiplier to jointly minimize the system cost. In particular, the DRL algorithm is employed to obtain the capable offloading strategy, while the Lagrange multiplier is used to obtain the bandwidth allocation. The simulated results are finally presented to show that the devised approach outperforms the traditional ones.     

Nonlinear dynamics of internet congestion control: A frequency-domain approach

In this paper a fluid-flow model for TCP congestion avoidance combined with different AQM schemes is analyzed. The conditions for the appearance of Hopf bifurcations are stated analytically using frequency-domain techniques. The proposed methodology allows the characterization of the emerging periodic orbits, providing approximations of their amplitude and frequency. In addition, multiple oscillations and limit cycle bifurcations are found via numerical tools.     

互联网上的开放大学物理教育

对互联网上的开放物理教育进行了研究.给出了网络学习系统组成、免费物理课程资源;对物理开放课程做了统计分析;将网络免费物理学习方式与其他教育模式进行对比;展望互联网物理教育未来发展趋势.     

A novel wearable device for continuous,non-invasion blood pressure measurement

In this paper, we have developed a wearable cuffless device for daily blood pressure (BP) measurement. We incorporated the light based sensor and other hard wares in a small volume for BP detection. With optimized algorithm, the real-time BP reading could be achieved, the data could be presented in the screen and be transmitted by internet of things (IoT) for history data comparison and multi-terminal viewing. Thus, further analysis provides the probability for diet or sports suggestion and alarm. We have measured BP from more than 60 subjects, compare to traditional mercury blood pressure meter, no obvious error in both systolic blood pressure (SBP) and diastolic blood pressure (DBP) are detected. Such device can be used for continues non-invasion BP detection, and further data docking and health analysis could be achieved.     

Modeling the Internet

We model the Internet as a network of interconnected Autonomous Systems which self-organize under an absolute lack of centralized control. Our aim is to capture how the Internet evolves by reproducing the assembly that has led to its actual structure and, to this end, we propose a growing weighted network model driven by competition for resources and adaptation to maintain functionality in a demand and supply balance. On the demand side, we consider the environment, a pool of users which need to transfer information and ask for service. On the supply side, ASs compete to gain users, but to be able to provide service efficiently, they must adapt their bandwidth as a function of their size. Hence, the Internet is not modeled as an isolated system but the environment, in the form of a pool of users, is also a fundamental part which must be taken into account. ASs compete for users and big and small come up, so that not all ASs are identical. New connections between ASs are made or old ones are reinforced according to the adaptation needs. Thus, the evolution of the Internet can not be fully understood if just described as a technological isolated system. A socio-economic perspective must also be considered.     

时空混沌系统在保密通信中的应用

以环形腔中激光振荡输出空间扩展模型为例，研究了多组信息同时编码的时空混沌加密及解密，给出安全可靠的加解密结果，并对抗破译能力进行了检验，完成了互联网上保密通信实验，结果令人满意。     

学用并重,教研融合——胶体与界面化学研究生课程的改革实践

有机化学是许多理工农医专业的基础课,其知识点丰富且有一定难度,这些因素使得课后答疑的需求量大且时效性较强。在互联网环境发达茁壮的今天,利用互联网构建教学答疑平台对线下答疑进行补充可以成为辅助教学的一种重要手段。浙江大学化学系学业指导中心有机化学答疑组在摸索尝试后成功建设了一种有机化学教学辅助公共答疑平台,正式运营一年中,得到了来自各个院系学生的积极参与及化学系师生的鼎力支持,评价良好。本文将介绍利用学生志愿者组织及QQ群建设实现公共答疑平台的方法、效果与改进方向。