NGO-Ⅲ催化剂的异构化性能评价

直馏汽油非临氢高效异构化使用最新一代NGO－Ⅲ型催化剂，生产的产品汽油辛烷值、产品收率及催化剂稳定性等全面超过现用的工业催化剂，达到目前国内同类产品的领先水平。     

EMMP: a highly efficient membership management protocol

Gossip (or epidemic) algorithms have recently become popular solutions to multicast message dissemination in peer-to-peer systems. Nevertheless, it is not straightforward to apply gossip to on-demand streaming because it often fails to achieve a timely delivery. To solve this problem and taking into account the characteristic of peers randomly joining and leaving in peer-to-peer systems, an Efficient Membership Management Protocol (EMMP) has been presented. Every node only needs to keep contact with O (log(N)) nodes, and EMMP can support the reliable dissemination of messages. Considering the “distance” between peers, it causes the major data to be transmitted in a local area and reduces the backbone’s traffic, and speeds up the dissemination of messages between peers. This paper has adopted the “goodfriend” mechanism to reduce the influence on the system when a peer fails or leaves. Simulation results show that EMMP is highly efficient, and both the redundancy and the delay of the system are well solved.     

管内含蜡原油降温过程中的放热问题

利用两种管段和两种原油，进行了降温过程自然对流放热参数的测试和研究。采用滞流点确定降温第二阶段中凝油边界的移动，区分管内的对流区与导热区。由实验数据回归得到适用于含蜡原油降温过程的自然对流放热准则方程式。用该方程式计算的自然对流放热系数值比按无限空间自然对流准则方程式计算值小20％～50％。     

异形柱框架结构设计方法分析与参数控制

近年来,异形柱框架结构(框轻结构体系),因其能较好地满足建筑使用上和结构性能上的要求,而逐步得到了推广应用,并被列为建设部首批住宅建设新技术推荐目录。但异形柱框架结构设计目前还没有可依据使用的国家标准和行业标准。本文根据对江苏省地方标准《钢筋混凝土异形柱框架结构技术规程》(DB32/512-2002)的理解,结合笔者设计实践经验,提出个人看法,供同行参考。     

移动互联网和它的增值业务

概述 通信发展的几个必然趋势 理想通信的目的:任何时间;任何地方;任何空间能随机地找到任何人,传送任何信息,全球一个网.     

絮凝技术及其在明胶生产中的应用

在明胶生产过程中，随着提胶道数的增加，在大多数情况下，二道胶以后，胶的质量在逐道下降，其中表现最为明显的质量指标就是色泽和透明度。明胶生产厂为了解决提胶时最后几道胶的透明度等质量指标问题，早在上世纪70年代，就把絮凝技术应用在提胶所得的尾胶、尾二胶（指提胶的最后二道胶）的生产处理中，取得了改善色泽、提高透明度的效果。     

膨胀水泥浆体系在苏丹1/2/4区块水平井固井中的应用

随着苏丹1／2／4区块的深入开发，为了加快开发主力油层，提高原油产量，降低钻井成本，GNPOC在此区块布置水平井开发任务。所开发的区域主要分布于Heglig，Munga，Simbir，Bamboo区块，油层所在是Zaqar和Bentiue地层。此层位具有高渗透，地层温度高，易塌、气窜等复杂问题，尤其是Heglig和Munga地区井壁坍塌严重。为此，根据地质资料、井身结构和对水平井注水泥的技术要求，科学合理设计施工工艺，优选出适合此地区固井施工的冲洗液和隔离液，特别是经过努力实践，开发出了新型膨胀水泥浆体系，此体系具有高强度、低失水、无析水、防气窜之功效。结合使用哈里伯顿CPT—Y4大功率固井车，精确计量和自动密度控制，该体系水泥浆目前已在7口水平井施工中得以应用，均为优质井。现正在被大量使用，此体系的开发，解决了该固井技术难题，创造了中国固井在海外首次水平井作业一次成功的历史记录，具有较高的经济和社会效益。     

Upconversion emission of a novel glass ceramic containing Er: BaYF5 nano-crystals

In order to develop highly efficient upconversion (UC) material, Er³⁺-doped oxyfluoride glass ceramics containing BaYF₅ nano-crystals were fabricated for the first time. The randomly distributed BaYF₅ nano-particles with the size of nearly 25 nm precipitated from the glass matrix at about 700 °C, then tended to aggregate slightly with the increase of heating temperature, resulting in the enhancement of Er³⁺ UC emission in the wavelength ranging from 500 nm to 700 nm. The UC process was found very sensitive to Er³⁺ content: with the increase of Er³⁺ content from 0.5% to 1.0%, the UC intensity behaved with drastic exaltation; while further increasing Er³⁺ content to 2.0% resulted in a notable fluorescence quenching. Significantly, the UC efficiency of present glass ceramic preponderates notably over that of the previously reported glass ceramic containing LaF₃, implying its superior UC potentiality.     

方兴未艾的智能网技术

智能网(IN)的概念于1984年一被提出,便在世界范围内迅速掀起了IN研究的热潮,虽然至今已有十个年头,但仍可以说,IN技术的发展才刚刚起步。本文就是基于当前国际上对IN的研究,来介绍智能网的基本概念和结构,进而阐述其设计思想及主要特征,并对IN的未来发展趋势进行了探讨,最后为我国发展IN技术提出了可行建议。     

ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images

Multispectral imaging (MSI) technique is often used to capture images of the fundus by illuminating it with different wavelengths of light. However, these images are taken at different points in time such that eyeball movements can cause misalignment between consecutive images. The multispectral image sequence reveals important information in the form of retinal and choroidal blood vessel maps, which can help ophthalmologists to analyze the morphology of these blood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deep learning framework called “Adversarial Segmentation and Registration Nets” (ASRNet) for the simultaneous estimation of the blood vessel segmentation and the registration of multispectral images via an adversarial learning process. ASRNet consists of two subnetworks: (i) A segmentation module S that fulfills the blood vessel segmentation task, and (ii) A registration module R that estimates the spatial correspondence of an image pair. Based on the segmention-driven registration network, we train the segmentation network using a semi-supervised adversarial learning strategy. Our experimental results show that the proposed ASRNet can achieve state-of-the-art accuracy in segmentation and registration tasks performed with real MSI datasets.