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关键词： Disaster recovery   In-memory KVS   Multi-datacenter synchronization  

摘要： With the needs of consistency between multiple datacenters for state management in transaction processing system, multi-datacenter synchronization is required, both for reducing response time and for providing fail-over in the event of disaster. However, in synchronization, prioritizing consistency causes latency degradation, while preserving response times may cause data inconsistencies, both of which are unacceptable. Therefore, we propose a synchronization method with two characteristics: prioritization of identifier transmission along with transaction identifier, and replication status verification prior to access. By applying the proposal to prototype in-memory KVS, we verified the response time degradation can be reduced while eliminating potential of conflicts. © 2018 Information Processing Society of Japan.

关键词： mHealth   prenatal screening   HIV   hepatitis B   sickle cell disease   Nigeria   telemedicine   prenatal diagnosis   infectious disease transmission   vertical  

摘要： Background: Community-based strategies to test for HIV, hepatitis B virus (HBV), and sickle cell disease (SCD) have expanded opportunities to increase the proportion of pregnant women who are aware of their diagnosis. In order to use this information to implement evidence-based interventions, these results have to be available to skilled health providers at the point of delivery. Most electronic health platforms are dependent on the availability of reliable Internet connectivity and, thus, have limited use in many rural and resource-limited settings. Objective: Here we describe our work on the development and deployment of an integrated mHealth platform that is able to capture medical information, including test results, and encrypt it into a patient-held smartcard that can be read at the point of delivery without the need for an Internet connection. Methods: We engaged a team of implementation scientists, public health experts, and information technology specialists in a requirement-gathering process to inform the design of a prototype for a platform that uses smartcard technology, database deployment, and mobile phone app development. Key design decisions focused on usability, scalability, and security. Results: We successfully designed an integrated mHealth platform and deployed it in 4 health facilities across Benue State, Nigeria. We developed the Vitira Health platform to store test results of HIV, HBV, and SCD in a database, and securely encrypt the results on a Quick Response code embedded on a smartcard. We used a mobile app to read the contents on the smartcard without the need for Internet connectivity. Conclusions: Our findings indicate that it is possible to develop a patient-held smartcard and an mHealth platform that contains vital health information that can be read at the point of delivery using a mobile phone-based app without an Internet connection.

关键词： Extended Kalman filters  

摘要： This work presents a neural identifier-control scheme for uncertain nonlinear discrete-time systems with unknown time-delays. This scheme is based on a neural identifier to get a model of the system and a discrete-time block control technique based on sliding modes to generate the control law. The neural identifier is based on a Recurrent High Order Neural Network (RHONN) trained with an Extended Kalman Filter (EKF) based algorithm. Applicability is shown using real-time test results for linear induction motors. Also, a Lyapunov analysis is added in order to prove the semi-globally uniformly ultimately boundedness (SGUUB) of the proposed neural identifier-control scheme. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

关键词： boolean functions   boolean isoperimetry   monotonicity testing   property testing  

摘要： We show a directed and robust analogue of a boolean isoperimetric-type theorem of Talagrand [Geom. Funct. Anal., 3 (1993), pp. 295-314]. As an application, we give a monotonicity testing algorithm that makes (O) over tilde(root n/epsilon(2)) nonadaptive queries to a function f : {0 ,1}(n) (sic) {0, 1}, always accepts a monotone function, and rejects a function that is epsilon-far from being monotone with constant probability.

关键词： DOI   标识符   期刊论文   万方数据  

摘要： 由北京万方数据股份有限公司运行的中文DOI;注册机构是IDF（国际DOI基金会）正式授权的DOI注册机构,负责开展各种中文数字资源的DOI注册及服务。为了促进中国期刊的全球标准化推广工作,促进中文学术信息的网络传播与利用、提高中国期刊的全球影响力。我刊于2009年5月与万方数据签约注册DOI。

关键词： DOI   标识符  

摘要： DOI,即数字对象唯一标识,为英文Digital Object Identification的缩写。根据国际标准ISO26324里的解释,它的意思是"一个对象的数字标识符"。这个标识符具有唯一性、永久性的特点。DOI是规范化管理、组织、共享、利用数字资源的有效工具。随着信息技术和互联网的发展,DOI目前已在国际出版界得到广泛推广应用。期刊的DOI标识符,是每篇论文的"身份标识",通过DOI标识符可以迅速检索到该文献。具体使用方法:

摘要： This article proposes a conceptual framework design tool to implement Secure Place Locator (SPL) that can help the process of Disaster Management (DM) through utilizing social media, in which this software can inform disaster site and safe point for casualities evacuation in real time with Geographic Information System (GIS) aid. The discussion is limited to the system design, with design methodology tool as an adaptation of the model development System of Design Life Cycle (SDLC), which includes the following stages: problem identification and selection, initiation and planning, analysis, and design. The analysis of formulated design is expected to handle disaster evacuation quickly and appropriately, this device will have a significant impact in the evacuation process (recovery) of victims by discovering a safe point of evacuation in order that help is given on target and evenly. The benefit of SPL implementation is that SPL can map position, quantity, density, and incident in the disaster site, so that DM process can be performed quickly and accurately.

标准号: ITU-T X.680 AMD 1-2018

关键词： 集装箱标识符识别   基于颜色特征的预处理   投影变换   定位与分割   深度学习  

摘要： 集装箱是重要的批量物流运输方式,标识符自动识别可以加速实现港口的信息化和自动化。本文针对集装箱标识符分割识别问题,提出了一套定位分割方法及基于深度学习的识别方法,实现了标识符自动识别,达到了较高的识别率。具体工作如下:1)论文在分析实际拍摄的集装箱图像特点的基础上,提出基于颜色特征的预处理方法,该方法对背景色与某一非背景色之差、两个非背景色分量图分别选取合适阈值进行二值化,然后进行与运算得到包含目标区域的高净度二值化图。与常规做法相比,本文的方法很好地克服了外界光照及凸凹的影响,去除了绝大部分广告、污迹等干扰,为后续的定位分割打下良好基础。2)论文设计了基于两次投影的标识符定位与分割方法,并采用Radon变换对标识符区域进行倾斜矫正。该方法先利用水平投影对集装箱标识符区域粗定位,并结合字符区域面积、标识字符串个数等排除其他区域,实现标识符区域的准确定位。然后对标识符区域采用Radon变换做倾斜矫正。最后结合水平和垂直两个方向的投影确定出每个字符的位置并分割出来。该方法运算简单,实时性好。3)研究深度学习及LeNet-5网络,并对之进行改进。改进的LeNet-5模型包含6层,网络使用ReLU激活层、加入dropout层,并把pool2层改为spp 层。从而减少模型参数和梯度消失的影响。4)利川拍摄的实际集装箱图像及数据扩展形成较大规模的数据集训练和测试改进的LeNet-5网络。实验结果表明,本文的方法识别率达到96.79%,单个字符的识别时间接近,在普通CPU上识别速度为1s左右。与BP神经网络、模板匹配和特征匹配等方法进行了对比,发现改进的LeNet-5网络在识别率方面具有较高的优越性。

关键词： 标识符   DOI  

摘要： DOI,即数字对象唯一标识,为英文Digital Object Identification的缩写。根据国际标准ISO26324里的解释,它的意思是"一个对象的数字标识符"。这个标识符具有唯一性、永久性的特点。DOI是规范化管理、组织、共享、利用数字资源的有效工具。随着信息技术和互联网的发展,DOI目前已在国际出版界得到广泛推广应用。