电子商务下集成供应链及其信息系统的研究

随着电子商务的发展，企业不得不改变传统的供应链管理而实施一种新型的供应链模式——集成供应链管理。在集成供应链基本概念的基础上论述了集成供应链的信息系统需求、关键信息技术．最后给出一个基于Web服务技术和J2EE平台的集成供应链信息系统实现架构。     

MIMO-OFDM系统中基于压缩感知的信道参数反馈方法

为了解决MIMO-OFDM系统中基于完全信道状态信息预编码所面临的反馈链路开销大的问题,提出将压缩感知技术应用于这种预编码的信道状态信息的反馈阶段。在接收端通过压缩感知技术对由信道估计得出的信道状态信息进行观测,将少量的观测值反馈到发送端,在发送端通过正交匹配追踪算法重构出完全信道状态信息。仿真结果表明,信道状态信息在KLT域的压缩感知性能明显优于DCT域的压缩感知性能,可以由反馈到发送端的少量采样值精确地重构出信道状态信息,降低了反馈链路的开销。     

Researching the Link Between the Geometric and Rènyi Discord for Special Canonical Initial States Based on Neural Network Method

Quantum correlation which is different to the entanglement and classical correlation plays important role in quantum information field. In our setup, neural network method is adopted to simulate the link between the Rènyi discord (α = 2) and the geometric discord (Bures distance) for special canonical initial states in order to show the consistency of physical results for different quantification methods. Our results are useful for studying the differences and commonalities of different quantizing methods of quantum correlation.     

Pricing framework for almost blank subframe scheme in two‐tier heterogeneous networks

As a part of enhanced inter‐cell interference coordination (eICIC), almost blank subframe (ABS) is an efficient technique to mitigate the cross‐tier interference of two‐tier heterogeneous networks (HetNets) and enhance overall network performance. However, in small cells with closed subscriber group (CSG) mode, how to motivate small cell base stations (SBSs) to adopt ABS schemes is still one of technical challenges due to the selfish nature of SBSs. In this paper, we propose a pricing framework with ABS scheme that benefit both the macrocell and small cell tier. Within the proposed framework, each SBS with closed access policy performs ABS scheme by muting a portion of the whole frame in time domain, and then dedicating this interference‐free subframe to macrocell users (MUs) for exclusive use. In return, the macrocell base station (MBS) announces the price for these ABSs and offers a certain amount of revenue to each SBS according to the length of its ABS. Furthermore, we extend the small cell performance analysis to the scenario of hybrid access policy, which allow neighboring MUs to access small cells. To investigate the interaction between two tiers, we formulate the proposed framework as a one‐leader multiple‐follower Stackelberg game, which regards the MBS and SBSs as leader and followers, respectively. On the basis of the theoretical analysis, we prove that a unique Stackelberg equilibrium (SE) exists and obtain the optimal strategies for both tiers. Numerical results evaluate the utility performance of both tiers when SE is achieved and verify the validity of the proposed framework.     

Cluster based resource allocation in two‐tier HetNets with hierarchical throughput constraints

Two‐tier heterogeneous networks (HetNets), formed by deploying small cell base stations (SBSs) over existing macrocells, can enhance the network performance in future fifth generation network. However, the cross‐/co‐tier interference in HetNets also will severely influence the user throughput of both tiers. In this paper, we investigate the resource allocation and interference mitigation problem in cluster based orthogonal frequency division multiple access (OFDMA) two‐tier HetNets. In a typical cluster, one SBS is selected as the cluster head to allocate resources among all small cells to guarantee their throughput requirements. Hybrid access policy enables small cells to suppress the cross‐tier interference and earn additional revenue from macrocells, but it also leads to decrease of available resources for small cell users (SUs). To compensate hybrid access SBSs for their resources loss, we impose hierarchical SU throughput constraints on the optimization problem, which guarantee these small cells more resources than closed access ones. Besides, the cross‐tier interference constraint is also considered to protect the transmissions of macrocell users. Accordingly, a subgradient iteration based resource allocation algorithm is proposed. Numerical results show that the proposed algorithm can satisfy SU throughput constraints of all small cells with different access policies and guarantee quality of service requirements of all accessed macrocell users in hybrid access small cells.     

Experimental investigation on color variation mechanisms of structural light in Papilio maackii ménétriès butterfly wings

The body color in animals results from billions of years of their natural evolution in order to evade natural enemies, catch quarries or display themselves beauty, in-vestigation on mechanisms of structural light is an important aspect of bionics. Based on the phenomenon of Papilio maackii ménétriès’ blue scales changing into green ones immediately after dropping some alcohol aqua on the underwing sur-face and soon returning back to the original color, the relationship between micro-structure, optics characteristic of scales and changing color effect were studied using the Olympus Stereomicroscope, Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM) and Ultraviolet (UV)-Visible Spectropho-tometer. The color variation mechanisms of blue scales of Papilio maackii mé-nétriès in Chinese Northeast were revealed in this paper. When visible lights trav-eled through the concaver structure with multilayer reflector and the filled medium with different refractive indices, the reflected lights in definite wavelengths pro-duced interference and color at that wavelength came into being. It has important academic reference value to biomimetics design of video stealth materials.     

Research on the Freezing Phenomenon of Quantum Correlation by Machine Learning

Quantum correlation shows a fascinating nature of quantum mechanics and plays an important role in some physics topics, especially in the field of quantum information. Quantum correlations of the composite system can be quantified by resorting to geometric or entropy methods, and all these quantification methods exhibit the peculiar freezing phenomenon. The challenge is to find the characteristics of the quantum states that generate the freezing phenomenon, rather than only study the conditions which generate this phenomenon under a certain quantum system. In essence, this is a classification problem. Machine learning has become an effective method for researchers to study classification and feature generation. In this work, we prove that the machine learning can solve the problem of X form quantum states, which is a problem of physical significance. Subsequently, we apply the density-based spatial clustering of applications with noise (DBSCAN) algorithm and the decision tree to divide quantum states into two different groups. Our goal is to classify the quantum correlations of quantum states into two classes: one is the quantum correlation with freezing phenomenon for both Rènyi discord (     

GIS在旅游业中的应用与展望

本文对地理信息系统（GIS）的组成与功能做了概述，在此基础上介绍了GIS在旅游业发展中的主要作用及应用现状，并就旅游地理信息系统（TGIS）的结构与功能做了探讨，最后讨论了目前TGIS实现的关键技术和存在的问题及解决方案。     

When benefits outweigh costs: Reconsidering “automatic” phonological recoding when reading aloud.

Skilled readers are slower to read aloud exception words (e.g., PINT) than regular words (e.g., MINT). In the case of exception words, sublexical knowledge competes with the correct pronunciation driven by lexical knowledge, whereas no such competition occurs for regular words. The dominant view is that the cost of this “regularity” effect is evidence that sublexical spelling-sound conversion is impossible to prevent (i.e., is “automatic”). This view has become so reified that the field rarely questions it. However, the results of simulations from the most successful computational models on the table suggest that the claim of “automatic” sublexical phonological recoding is premature given that there is also a benefit conferred by sublexical processing. Taken together with evidence from skilled readers that sublexical phonological recoding can be stopped, we suggest that the field is too narrowly focused when it asserts that sublexical phonological recoding is “automatic” and that a broader, more nuanced and contextually driven approach provides a more useful framework. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Youth violence and positive psychology: Research potential through integration.

Positive psychologists can study the relation between some of the discipline's core dimensions and aversive outcomes, including youth violence. Dimensions such as gratitude, forgiveness, sense of meaning, altruism (or at least apparent altruism), prudence, and humility have received attention within positive psychology, and evidence is reviewed suggesting that these may also deserve empirical attention in terms of their relation to youth violence and even their potential to reduce youth violence. (PsycINFO Database Record (c) 2011 APA, all rights reserved)