Study on Reduction of Mixed Water Salinity by Sound Wave <br/>—Toward Water Scarcity Issue-Solving in Isolated Islands in the World

There are so many Isolated Islands (inhabited islands) in the world, including Japan. However, at present islanders, there have been faced with the decline of industries, serious concerns of rapid aging and very low birthrate without children and water scarcity issues etc. It can be said that these situations are under the environment which shows a microcosm of Japanese and/or world survival society in the near future. In this paper, the experimental data on the reduction of the mixed water (seawater & rainwater) salinity by the sound wave when changing the volume ratio were first shown, taking into the characteristics of the Isolated Islands. Next, the main analysis result on the water qualities of mixed water with which sound wave was irradiated was shown and the consideration mainly based on the WHO drinking water quality standards was carried out. Finally, through a simple water quality improvement apparatus using small hydroelectric power, a consideration regarding a possibility of the purification of the water (to be a drinking water) based on the solar circulation energy (regenerative type’s natural energy) such as small hydropower utilization, natural sunlight utilization, natural gravity utilization, natural oscillation utilization has been described in the paper.

Study on the movement and fracture of ＂isolated island＂ working face overburden by numerical simulation

For circumstances of medium-embedding depth and medium-hard surroundings in Jining No.2 Colliery, Yanzhou Group, by using software RFPA2D to simulate the process of overburden fracture, studied the overburden separation which was caused by working face exploitation, its fracture characteristics and the isolated island coalface（IIC） formation systematically in comparison method. After the recovery of the IIC, the surrounding separation areas which lied above the working face and bilateral goaved respectively form a connected region, a region that is like a saddle with low middle （35 times） and high sides. The top boundary line of the separation area is an arc. Then the fracture rise rapidly to 28 times of working thickness; while it is smaller （only 8-17 times recovery height） when extracting bilaterally, though the fracture plane both are in shape of an unsymmetrical trapezium. As the recovery of IIC makes side recoveries change from insufficiency to sufficiency, the consequentially rapid change of characteristics of overburden separation and fracture would enhance the representation degree of mining pressure of IIC.

KING GEORGE ISLAND SPATIAL DATA MODEL

Distribution,interoperability,interactivity,component are four main features of distributed GIS.Based on the principle of hypermap,hypermedia and distributed database,the paper comes up with a kind of distributed spatial data model which is in accordance with those features of distributed GIS.The model takes catalog service as the outline of spatial information globalization,and defines data structure of hypermap node in different level.Based on the model,it is feasible to manage and process distributed spatial information,and integrate multi_source,heterogeneous spatial data into a framework.Traditionally,to retrieve and access spatial data via Internet is only by theme or map name.With the concept of the model,it is possible to retrieve,load,and link spatial data by vector_based graphics on the Internet.

Effect of Isolation of Hainan Island from the Mainland on the Genetic Variation of Podocarpus imbricatus

Random amplified polymorphic DNA (RAPD) markers were used to analyze genetic variation of Podocarpus imbricatus in Hainan Island and Mainland of China. Two populations of Dacrydium pierrei were used as comparison materials. Both Podocarpus imbricatus and Dacrydium pierrei showed a low level of genetic diversity. However, Podocarpus imbricatus showed higher genetic diversity and higher population differentiation than Dacrydium pierrei. The geographic range may affect the genetic diversity of Podocarpus imbricatus and Dacrydium pierrei significantly. The UPGMA cluster tree showed that populations of Podocarpus imbricatus in Hainan Island and Guangxi Zhuang Autonomous Region were closer than those in Yunnan Province, indicating possible gene flow between Hainan Island and Guangxi Zhuang Autonomous Region. The young geological history of Hainan Island and the three times of unification and separation between Hainan Island and the Mainland may give the two species more possibilities of gene flow.

高架桥车辆行驶引起的环境振动研究

随着高科技产业的快速发展,对精密工程结构中产品质量的要求日益提高,其中微振动控制成为关键因素。针对西安某微电子厂房建设项目,考虑到周边高速公路高架桥对拟建场地可能产生的微振动影响,进行了详细的现场测试与分析。通过布置测点,采用高灵敏度振动传感器和数据采集系统,记录了南北、东西和垂直方向的振动速度。测试结果表明,高速公路高架桥的微振动水平处于VC-D—VC-C之间,可为芯片厂房的选址和隔振设计提供科学依据,对类似精密工程结构的防微振设计具有参考意义。

Data cleaning method for the process of acid production with flue gas based on improved random forest

Acid production with flue gas is a complex nonlinear process with multiple variables and strong coupling.The operation data is an important basis for state monitoring,optimal control,and fault diagnosis.However,the operating environment of acid production with flue gas is complex and there is much equipment.The data obtained by the detection equipment is seriously polluted and prone to abnormal phenomena such as data loss and outliers.Therefore,to solve the problem of abnormal data in the process of acid production with flue gas,a data cleaning method based on improved random forest is proposed.Firstly,an outlier data recognition model based on isolation forest is designed to identify and eliminate the outliers in the dataset.Secondly,an improved random forest regression model is established.Genetic algorithm is used to optimize the hyperparameters of the random forest regression model.Then the optimal parameter combination is found in the search space and the trend of data is predicted.Finally,the improved random forest data cleaning method is used to compensate for the missing data after eliminating abnormal data and the data cleaning is realized.Results show that the proposed method can accurately eliminate and compensate for the abnormal data in the process of acid production with flue gas.The method improves the accuracy of compensation for missing data.With the data after cleaning,a more accurate model can be established,which is significant to the subsequent temperature control.The conversion rate of SO_(2) can be further improved,thereby improving the yield of sulfuric acid and economic benefits.

Comparison of remote sensing data with in-situ wind observation during the development of the South China Sea monsoon

Wind measurements derived from QuikSCAT data were compared with those measured by anemometer on Yongxing Island in the South China Sea (SCS) for the period from April 2008 to November 2009. The comparison confirms that QuikSCAT estimates of wind speed and direction are generally accurate, except for the extremes of high wind speeds (>13.8m/s) and very low wind speeds (<1.5m/s) where direction is poorly predicted. In-situ observations show that the summer monsoon in the northern SCS starts between May 6 and June 1. From March 13, 2010 to August 31, 2010, comparisons of sea surface temperature (SST) and rainfall from AMSR-E with data from a buoy located at Xisha Islands, as well as wind measurements derived from ASCAT and observations from an automatic weather station show that QuikSCAT, ASCAT and AMSR-E data are good enough for research. It is feasible to optimize the usage of remote-sensing data if validated with in-situ measurements. Remarkable changes were observed in wind, barometric pressure, humidity, outgoing longwave radiation (OLR), air temperature, rainfall and SST during the monsoon onset. The eastward shift of western Pacific subtropical high and the southward movement of continental cold front preceded the monsoon onset in SCS. The starting dates of SCS summer monsoon indicated that the southwest monsoon starts in the Indochinese Peninsula and forms an eastward zonal belt, and then the belt bifurcates in the SCS, with one part moving northeastward into the tropical western North Pacific, and another southward into western Kalimantan. This largely determined the pattern of the SCS summer monsoon. Wavelet analysis of zonal wind and OLR at Xisha showed that intra-seasonal variability played an important role in the summer. This work improves the accuracy of the amplitude of intra-seasonal and synoptic variation obtained from remote-sensed data.

基于Isolation Forest和Random Forest相结合的智能电网时间序列数据异常检测算法

智能电网的信息系统是保障电力行业正常运行的基础,而智能电网中各种时间序列数据的分析结果是衡量信息系统稳定运行的重要依据。传统的时间序列数据异常检测算法很难同时兼顾准确性和实时性。本文引入基于Isolation Forest和Random Forest相结合的智能电网时间序列数据异常检测算法,结合无监督学习算法和有监督学习算法的优点,实现机器自动标注和自动学习阈值,人工标注少量特征值,从一定程度上提高了时间序列数据异常检查准确性和实时性,可以满足智能电网时间序列数据异常检测需求,从而达到提升智能电网信息安全的目的。

Analysis of Urban Change in Shenzhen City Based on Landsat Archived Data

With the ongoing development of economy and urbanization in China, the change of land use types has attracted more and more attention. In this study we focused on the urban development of Shenzhen City, Guangdong Province, analyzing Landsat 5 TM and Landsat 8 OLI data. We used an SVM based classification, a land transfer matrix approach, a directional growth analysis method and we calculated the inversion of land surface temperature to derive information of land cover changes that occurred in the time period between 1987 and 2017. The results are combined with Shenzhen’s economy, transportation policy and other aspects to find the driving forces of the urban development. The results show that during the observed 30 years, the area of construction land has increased significantly. Most of it is converted from other lands, and some of them are reclaimed. Most rapidly developing are areas west and northwest of the Bao’an, Nanshan and Longhua. The vegetated areas decreased slightly. Caused by the continuous increase of the construction land, the so-called heat island effect emerges slightly but continuously.

岛礁风光柴储多能源独立微电网建模分析

岛礁多能源独立微电网是解决远海岛礁供电难题,确保岛上军民用电稳定及提高岛礁自然资源利用率的关键技术。传统岛礁独立微电网建模电源种类不够完备,交流母线应用较少。为此,建立了风、光、柴、储4种电源数学模型,在电力电子变换器中使用了基于扰动观察法的Boost升压电路与基于电网电压定向的矢量控制方式。系统模型中风、光、柴、储4种电源汇入交流母线,整体功率、电压趋于稳态。仿真结果表明:所构建的岛礁多能源独立微电网模型较为科学合理,可为开展岛礁多能源微电网健康管理等研究打下坚实基础。

海南岛抱板杂岩记录的多期构造热事件:锆石和独居石U-Pb年代学的制约

抱板杂岩(抱板群)是海南岛目前已发现的最古老前寒武纪结晶基底,记录了多期构造热事件,是研究海南岛大地构造属性的重要窗口。本文通过对海南岛冲卒岭地区抱板杂岩变质沉积岩、变质基性岩和伟晶岩脉的锆石和独居石LA-ICP-MS U-Pb年代学研究,来确定抱板杂岩所经历的多期构造热事件及其所代表的构造意义。研究结果显示,抱板杂岩主要由中元古代变质沉积岩、花岗质片麻岩和变质基性岩组成,经历了中元古代晚期-新元古代早期(1.3~0.9Ga)、早古生代(470~440Ma)、三叠纪(~230Ma)等多期构造热事件的改造。中元古代晚期-新元古代早期构造热事件与罗迪尼亚超大陆的汇聚有关;早古生代构造热事件与东冈瓦纳古陆北缘的增生造山作用有关;三叠纪构造热事件是印支陆块与华南陆块碰撞拼合的远程响应。综合上述研究成果和区域对比分析,认为海南岛与印支陆块具有相似的前寒武纪结晶基底和多期构造热事件的记录,表明二者具有明显的亲缘关系。

考虑载客状态的改进孤立森林浮动车异常数据检测算法

为提高浮动车数据中异常数据检测能力及不同载客状态下的模型检测分析能力,提出基于S-DTA-IIForest(Summation&Difference Third Order Average&Improvement-Isolation Forest)的浮动车数据异常检测算法。构建由相邻两项求和(S)、三阶求和平均差分(DTA)的二维度空间SDTA特征向量;提出差额累计更新和动态区分辨识的改进孤立森林IIForest算法,通过设置停止阈值参数,避免当出现新样本异常值分数大于停止阈值时,仅更新样本不更新孤立森林模型的问题,设计每个二叉树区分辨识度参数,区分辨识度位于停止区间时停止二叉树生长,提高算法收敛性能,以ROC(Receiver Operating Characteristic)曲线下面积AUC(Area Under ROC Cure)、F1-score为指标对模型精度进行对比分析,并以重庆市中心城区学府大道开展实例验证。结果表明:本文S-DTA-IIForest组合算法AUC、F1-score分别为86.63%、0.89,AUC较传统孤立森林IForest(Isolation Forest)提高32.4%,运行效率提高1.29%,具有收敛速度更快、精度更高的优势,载客条件下模型AUC、F1-score较未载客分别提高7.7%、10.8%,组合算法对载客数据有更高的检测精度,且未载客状态数据异常率较载客状态增加71.4%,未载客数据异常率更高。

Self-health Monitoring and Reporting System for COVID-19 Patients Using CAN Data Logger

In the evolving situation of highly infectious coronavirus,the number of confirmed cases in India has largely increased,which has resulted in a shortage of health care resources.Thus,the Ministry of Health and Family Welfare-Government of India issued guidelines for the‘Home isolation of COVID-19 positive patients’methodology for asymptomatic patients or with mild symptoms.During home isolation,the patients are required to monitor and record the pulse rate,body temperature,and oxygen saturation three times a day.This paper proposes a system that can request data from the required sensor to measure the pulse rate,body temperature,or oxygen saturation.The requested data is sensed by the respective sensor placed near the patients’body and sent to the CAN data logger over the CAN bus.The CAN data logger live streams the sensor values and stores the same to an excel sheet along with details like the patient’s name,patient’s age,and date.The physicians can then access this information.

A Descriptor System Approach of Sensor Fault State Estimation for Sampled-data Systems

This paper proposes a fault estimation method for sampled data systems with sensor faults. The sampled data system is firstly discretized to obtain a discrete time model. Then a descriptor system is constructed to describe the discretized system with sensor faults. Based on the descriptor system representation a bank of observers are designed to isolate and estimate the sensor faults. These observers can be synthesized by the linear matrix inequality (LMI) technique and sufficient conditions for the existence of these observers are derived. Finally the effectiveness is ascertained by an aircraft simulation example which is in the proposed method.

DataGrid数据引擎助运营商业务转型

在传统移动网络中,用户数据的管理通过HLR实现。随着网络越来越复杂,提供的业务越来越多,离散在各网元中的信息,形成了"数据孤岛",用户数据不能充分利用和开发。随着运营商越来越强烈的精品网络意识,和业务转型的必然趋势,大家逐渐意识到用户数据的重要性和必要性,需要一种能够适应网络发展的新方法来进行用户数据管理、开发和应用。DataGrid正是提供了这样一个革命化的概念和产品,水平化组织数据,在整合数据的基础上,挖掘数据的内在联系,统一用户数据视图,为提供个性化业务提供数据平台的支持。

基于数字孪生和IETM的装备常规故障诊断

装备在实际运行过程中出现的大部分常规故障都是由于人为操作、保养以及环境等因素引起的。常规故障在装备的研制、试验、鉴定以及维保过程中都进行了验证,并有明确的定义,具有明确的故障树分析结论,因而数字孪生可为装备常规故障提供快速、交互性的诊断可能。为提高常规故障诊断的效率和诊断过程的交互式体验感,提出一种基于数字孪生的装备常规故障诊断模型。在此基础上,鉴于交互式电子技术手册(IETM)良好的交互性及用户体验感,设计一种基于孪生数据和IETM的装备常规故障诊断方案。该方案将装备故障树转换为IETM的故障数据模块,存储到IETM数据库中形成故障库。采用故障树分析方法并将装备实时孪生数据作为输入,利用IETM的交互性,通过过程数据模块结合故障数据模块进行步进式故障诊断及隔离引导操作,同时提供维修操作指导。当装备实时孪生数据与故障库定义的故障信息不完全一致时,采用案例分析法计算装备实时孪生数据提供的故障征兆信息与故障库中明确定义的故障征兆信息的相似度,并设定相似度的阈值进行判定;再利用IETM推送对应故障数据模块进行相应的故障诊断隔离引导。

基于GAN的软测量缺失数据生成方法研究

针对工业过程中传感器数据缺失造成软测量模型精度低的问题,提出一种基于生成对抗网络(generative adversarial nets,GAN)的传感器缺失数据生成方法。利用孤立森林算法检测出传感器数据的缺失区域;利用缺失数据属性特征训练条件生成对抗网络(conditional generative adversarial nets,CGAN),在CGAN的输入条件中添加随机序列作为附加信息迭代送入CGAN中生成数据,并借助WGAN-GP(wasserstein generative adversarial nets gradient penalty)成本函数提高网络训练的稳定性;针对缺失区域检测结果引入采样器,将采样的数据填补进缺失区域,形成完整数据集,以提高软测量模型精度。以镍闪速炉温度传感器数据为目标变量进行软测量建模,验证所提出的提高软测量模型精度方法的可行性与有效性。

基于粒子群混合灰狼算法的配电网故障恢复策略

为进一步提高主动配电网在故障恢复过程中的高效性和可靠性,基于粒子群混合灰狼算法对含高比例分布式电源的主动配电网进行故障恢复分析。首先针对配电网故障恢复持续时间长、光伏与风机出力和负荷需求波动大的问题,建立分布式电源时变性和负荷特性模型。以故障时段内分布式电源恢复重要负荷总量最大为目标函数,对配电网进行初步孤岛划分。在初步孤岛划分的基础上综合考虑恢复重要负荷总量最大、网络损耗最小和开关操作次数最少三个目标函数,采用粒子群混合灰狼算法求解,得到孤岛与主网配合的最优故障恢复策略。运用IEEE33节点配电网模型进行仿真验证,结果表明:分布式电源时变性和负荷特性模型具有优越性,基于粒子群混合灰狼算法的主动配电网故障恢复策略能够可靠地恢复供电。

中深部孤岛工作面窄煤柱沿空掘巷支护技术研究

孤岛工作面沿空掘巷存在围岩变形严重、控制难度大、成本高的问题。以某矿5103回风顺槽为研究对象,运用多种设计方法,综合确定护巷煤柱最佳宽度为6 m;提出顶板围岩浅部基础层、中部承载层和深部强化层多圈层高效支护技术,以长锚杆+柔性锚杆+长锚索为主形成多圈层承载结构。通过在5103回风顺槽进行工业试验表明,巷道围岩变形得到有效控制,取得良好的安全、经济效益,可为相似条件下孤岛工作面的开采提供借鉴。

数据中台在Web系统的应用

随着信息化进程的不断深入,各业务领域信息系统的数量不断增加。由于业务能力和数据互相孤立,数据质量得不到保障,没有形成企业级的数据整合,导致大量业务功能的重复构建。需要引入数据中台来打破单个系统的壁垒,实现服务共享。提出了大多数系统面临的问题,介绍了数据中台的特点、可解决的问题和软件定义的中台架构设计,列举了数据中台在Web系统中的应用。通过数据中台的应用,打通了数据壁垒,提高了业务系统构建的灵活性,推动了企业的快速发展。