TiN粉体粒径大小对SPS烧结过程的影响

采用低温液相还原法,即在液氨中采用金属钠为还原剂,通过还原四氯化钛(TiCl4)成功制备了纳米氮化钛粉体,通过XRD、SEM、TEM分析表明,粉体颗粒尺寸小于20 nm,并且为立方相的纳米氮化钛.以所合成的纳米TiN粉体为初始原料,采用SPS进行快速烧结,同时进行了微米TiN的烧结.结果发现采用SPS烧结技术可以抑制纳米TiN的晶粒快速长大过程,晶粒长大到100 nm～150 nm.但是纳米TiN粉体的烧结温度明显低于微米TiN粉体,并且致密度更高.     

表面包覆改善球形Ni（OH）2高温性能的研究

采用Yb／Co氢氧化物共沉淀包覆方法和Ca3（PO4）2与Co（OH）2分别沉淀分层包覆方法在球形Ni（OH）2的表面进行了均匀的包覆。前者利用COSO4，YbCl3和NaOH溶液进行共沉淀包覆，后者是先在球形Ni（OH）2的表面沉淀包覆Ca3（PO4）2，然后再沉淀包覆Co（OH）2。结果显示，两种包覆方法均能有效地提高球形Ni（OH）2的高温（60℃）性能。按照Yb／Co=0．75％：2％共沉淀包覆的试样制成AA型电池后，在60℃下1C放电的容量保持率达到常温下的90％。而2％Ca3（P04）2与2％Co（OH）2分层包覆后的球形Ni（OH）2制成AA型电池后，在60℃下1C放电的容量保持率达到常温下的81％。未包覆和仅用Co（OH）2包覆的球形Ni（OH）2制成的AA型电池，在60℃下1C放电的容量保持率分别只有46％和48％。通过循环伏安测试表明，利用表面包覆的方法可以增大正极材料Ni（OH）2在高温下的氧化电位、析氧电位和两者之间的电位差，从而提高了材料在高温下的电化学性能。     

Video summarization via minimum sparse reconstruction

The rapid growth of video data demands both effective and efficient video summarization methods so that users are empowered to quickly browse and comprehend a large amount of video content. In this paper, we formulate the video summarization task with a novel minimum sparse reconstruction (MSR) problem. That is, the original video sequence can be best reconstructed with as few selected keyframes as possible. Different from the recently proposed convex relaxation based sparse dictionary selection method, our proposed method utilizes the true sparse constraint L₀ norm, instead of the relaxed constraint _L2,1$L_{2,1}$ norm, such that keyframes are directly selected as a sparse dictionary that can well reconstruct all the video frames. An on-line version is further developed owing to the real-time efficiency of the proposed MSR principle. In addition, a percentage of reconstruction (POR) criterion is proposed to intuitively guide users in obtaining a summary with an appropriate length. Experimental results on two benchmark datasets with various types of videos demonstrate that the proposed methods outperform the state of the art.     

On ℤ2ℤ2[u]-additive codes

In this paper, a new class of additive codes which is referred to as ?₂ ?₂[u]-additive codes is introduced. This is a generalization towards another direction of recently introduced ?₂ ?₄-additive codes [J. Borges, C. Fernández-Córdoba, J. Pujol, J. Rif´a, and M. Villanueva, ?₂ ?₄-linear codes: Generator matrices and duality, Designs Codes Cryptogr. 54(2) (2010), pp. 167–179]. ?₂ ?₄-additive codes have shown to provide a promising class of codes with their algebraic structure and applications such as steganography. The standard generator matrices are established and by introducing orthogonality the parity-check matrices are also obtained. A MacWilliams-type identity that relates the weight enumerator of a code with its dual is proved. Furthermore, a Gray map that maps these codes to binary codes is defined and some examples of optimal codes which are the binary Gray images of ?₂ ?₂[u]-additive codes are presented.     

Implementation and performance evaluation of a scheduling algorithm for divisible load parallel applications in a cloud computing environment

Cloud computing is an emerging technology in which information technology resources are virtualized to users in a set of computing resources on a pay‐per‐use basis. It is seen as an effective infrastructure for high performance applications. Divisible load applications occur in many scientific and engineering applications. However, dividing an application and deploying it in a cloud computing environment face challenges to obtain an optimal performance due to the overheads introduced by the cloud virtualization and the supporting cloud middleware. Therefore, we provide results of series of extensive experiments in scheduling divisible load application in a Cloud environment to decrease the overall application execution time considering the cloud networking and computing capacities presented to the application's user. We experiment with real applications within the Amazon cloud computing environment. Our extensive experiments analyze the reasons of the discrepancies between a theoretical model and the reality and propose adequate solutions. These discrepancies are due to three factors: the network behavior, the application behavior and the cloud computing virtualization. Our results show that applying the algorithm result in a maximum ratio of 1.41 of the measured normalized makespan versus the ideal makespan for application in which the communication to computation ratio is big. They show that the algorithm is effective for those applications in a heterogeneous setting reaching a ratio of 1.28 for large data sets. For application following the ensemble clustering model in which the computation to communication ratio is big and variable, we obtained a maximum ratio of 4.7 for large data set and a ratio of 2.11 for small data set. Applying the algorithm also results in an important speedup. These results are revealing for the type of applications we consider under experiments. The experiments also reveal the impact of the choice of the platforms provided by Amazon on the performance of the applications under study. Considering the emergence of cloud computing for high performance applications, the results in this paper can be widely adopted by cloud computing developers. Copyright © 2014 John Wiley & Sons, Ltd.     

基于自编码神经网络建立的搜索信息模型

根据用户搜索历史,将用户关注的信息按标题分类,通过自编码神经网络提取特征值。设定学习样本标题最多为25个汉字,编码方式采用汉字机内码(GBK码)。使用 MATLAB工具进行深度学习,将样本在原空间的特征表示变换到一个新的特征空间。     

Exploring and exploiting a historical corpus for Arabic

This paper presents a historical Arabic corpus named HAC. At this early embryonic stage of the project, we report about the design, the architecture and some of the experiments which we have conducted on HAC. The corpus, and accordingly the search results, will be represented using a primary XML exchange format. This will serve as an intermediate exchange tool within the project and will allow the user to process the results offline using some external tools. HAC is made up of Classical Arabic texts that cover 1600 years of language use; the Quranic text, Modern Standard Arabic texts, as well as a variety of monolingual Arabic dictionaries. The development of this historical corpus assists linguists and Arabic language learners to effectively explore, understand, and discover interesting knowledge hidden in millions of instances of language use. We used techniques from the field of natural language processing to process the data and a graph-based representation for the corpus. We provided researchers with an export facility to render further linguistic analysis possible.     

Output performance optimization for RTD fluxgate sensor based on dynamic permeability基于动态磁导率参数的时间差型磁通门传感器的输出响应优化

The output performance of residence times difference (RTD) fluxgate may vary under different driving conditions (driving currents and frequencies) and core materials. To optimize the RTD fluxgate and simplify its design process, an analytical model is employed to select the parameters and identify the effective factors that dominate the performance. The dynamic permeability parameters (P_i), which reflect the changes in the magnetization curve, are mathematically analyzed in detail. The linear variation functions of P_i in different driving conditions are fitted by using the dynamic arctangent hysteresis model. Consequently, the selection of driving conditions and core materials, which are assessed by comparing the experiment and simulation results, has an important role in achieving the optimal output performance of the RTD fluxgate.     

Emotional Loneliness and Coping Strategies: A Reference to Older Malaysians at Nursing Homes

This article presents an in-depth qualitative study using a phenomenological approach to understand loneliness among elderly individuals in Malaysia. The objective of the study was to understand how the Malaysian elderly perceive and understand social isolation as well as loneliness, with the aim of identifying the factors that cause emotional loneliness among the elderly in nursing homes. In addition, this study also explored their coping strategies when dealing with loneliness. Semi-structured interviews were conducted with ten elderly participants from two different nursing homes in Kuala Lumpur and Selangor with representatives from the three major ethnic groups of Malaysia. Based on the results, there are several factors that cause the elderly to feel lonely – health factors, lack of family ties, and the lack of communication and cognitive factors, such as memory and perception. It was also found that internal (expectations and optimism) and external (work and activities) coping strategies play major roles in overcoming loneliness. In conclusion, some recommendations are made to respective party families and the government to consider when developing plans to help the elderly overcome loneliness, which could strengthen the family and social support system in Malaysia.