International Papers Contribution on Artificial Intelligence Promotes the Application and Development of Big Data in the Petroleum Industry

Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain human thought processes and intelligent behaviors(such as learning,reasoning,thinking,planning,etc.),and produces a new type of intelligent machine that can respond in a similar way to human intelligence.In the past 30 years,it has achieved rapid development in various industries and related disciplines such as manufacturing,medical care,finance,and transportation.

Research and development of seismic base isolation technique for civil engineering structures

Base isolation is one of the most promising alternatives among the structure control methods. In recent decades, base isolation has been seriously considered for civil structures, such as buildings and bridges, subjected to ground motion. The research achievements and development of seismic base isolation technique for civil structures in Huazhong University of Science and Technology (HUST) are introduced. The achievements include project applications, experimental research results and theoretical innovation.

A Novel Lifecycle Model for Web-based Application Development in Small and Medium Enterprises

Software engineering＇s lifecycle models havc proven to be very important for traditional software development. However, can these models be applied to the development of Web-based applications as well？ In recent years, Web-based applications have become more and more complicated and a lot of efforts have been placed on introducing new technologies such as J2EE, PhP, and .NET, etc., which have been universally accepted as the development technologies for Web-based applications. However, there is no universally accepted process model for the development of Web-based applications. Moreover, shaping the process model for small medium-sized enterprises （SMEs）, which have limited resources, has been relatively neglected. Based on our previous work, this paper presents an expanded lifecycle process model for the development of Web-based applications in SMEs. It consists of three sets of processes, i.e., requirement processes, development processes, and evolution processes. Particularly, the post-delivery evolution processes are important to SMEs to develop and maintain quality web applications with limited resources and time.

The IRIS Development Platform and Proposed Object-Oriented Data Base

Various code development platforms, such as the ATHENA Framework [1] of the ATLAS [2] experiment encounter lengthy compilation/linking times. To augment this situation, the IRIS Development Platform was built as a software development framework acting as compiler, cross-project linker and data fetcher, which allow hot-swaps in order to compare various versions of software under test. The flexibility fostered by IRIS allowed modular exchange of software libraries among developers, making it a powerful development tool. The IRIS platform used input data ROOT-ntuples [3];however a new data model is sought, in line with the facilities offered by IRIS. The schematic of a possible new data structuring—as a user implemented object oriented data base, is presented.

China Argo project:progress in China Argo ocean observations and data applications

This paper reviews the current achievements of the China Argo project. It considers aspects of both the construction of the Argo observing array, float technology, and the quality control and sharing of its data. The developments of associated data products and data applications for use in the fields of ocean, atmosphere, and climate research are discussed, particularly those related to tropical cyclones （typhoons）, ocean circulation, mesoscale eddies, turbulence, oceanic heat/salt storage and transportation, water masses, and operational oceanic/atmospheric/climatic forecasts and predictions. Finaliy, the challenges and opportunities involved in the long-term maintenance and sustained development of the China Argo ocean observation network are outlined. Discussion also focuses on the necessity for increasing the number of floats in the Indian Ocean and for expanding the regional Argo observation network in the South China Sea, together with the importance of promoting the use of Argo data by the maritime countries of Southeast Asia and India.

Traffic Big Data in the Development of Intelligent Transportation System

With the continuous development and advancement of computer technology,big data guarantee the establishment of an urban intelligent transportation system,a solid environmental basis to reform its application,and the construction of a deeply integrated data mechanism for big data-driven traffic management.This review paper briefly elaborates on the basic characteristics and sources of traffic big data as well as expounds on the problems and application mechanisms of big data in intelligent transportation systems.

Ensuring Security, Confidentiality and Fine-Grained Data Access Control of Cloud Data Storage Implementation Environment

With the development of cloud computing, the mutual understandability among distributed data access control has become an important issue in the security field of cloud computing. To ensure security, confidentiality and fine-grained data access control of Cloud Data Storage (CDS) environment, we proposed Multi-Agent System (MAS) architecture. This architecture consists of two agents: Cloud Service Provider Agent (CSPA) and Cloud Data Confidentiality Agent (CDConA). CSPA provides a graphical interface to the cloud user that facilitates the access to the services offered by the system. CDConA provides each cloud user by definition and enforcement expressive and flexible access structure as a logic formula over cloud data file attributes. This new access control is named as Formula-Based Cloud Data Access Control (FCDAC). Our proposed FCDAC based on MAS architecture consists of four layers: interface layer, existing access control layer, proposed FCDAC layer and CDS layer as well as four types of entities of Cloud Service Provider (CSP), cloud users, knowledge base and confidentiality policy roles. FCDAC, it’s an access policy determined by our MAS architecture, not by the CSPs. A prototype of our proposed FCDAC scheme is implemented using the Java Agent Development Framework Security (JADE-S). Our results in the practical scenario defined formally in this paper, show the Round Trip Time (RTT) for an agent to travel in our system and measured by the times required for an agent to travel around different number of cloud users before and after implementing FCDAC.

Data Transfer Over the Internet for Real Time Applications

Efficient real time data exchange over the Internet plays a crucial role in the successful application of web-based systems. In this paper, a data transfer mechanism over the Internet is proposed for real time web based applications. The mechanism incorporates the eXtensible Markup Language （XML） and Hierarchical Data Format （HDF） to provide a flexible and efficient data format. Heterogeneous transfer data is classified into light and heavy data, which are stored using XML and HDF respectively; the HDF data format is then mapped to Java Document Object Model （JDOM） objects in XML in the Java environment. These JDOM data objects are sent across computer networks with the support of the Java Remote Method Invocation （RMI） data transfer infrastructure. Client＇s defined data priority levels are implemented in RMI, which guides a server to transfer data objects at different priorities. A remote monitoring system for an industrial reactor process simulator is used as a case study to illustrate the proposed data transfer mechanism.

高纯溶剂应用及行业高质量发展展望

化学工业是国民经济的基干产业,在区域经济的许多部门发挥着至关重要的作用。高纯溶剂作为基础化工材料,服务国民经济主战场,与人们生产生活密接相关。绿色溶剂助力实现人类命运共同体和联合国可持续发展目标。首先介绍高纯溶剂的国内外市场应用,国际高纯溶剂行业发展趋势、市场以及增长动能,在此基础上,应我国高质量发展需求,展望高纯溶剂如何服务我国国民经济主战场,如何服务国家重大需求,重点介绍高纯溶剂标准物质研制以建立溯源性、电子级高纯溶剂标准化满足半导体行业重大需求以及生物基溶剂满足行业绿色环保发展需求。

遥感技术新进展赋能水利行业应用

随着遥感技术的不断发展和水利信息化进程的加快,水利遥感有了飞速的发展,与水利现代化发展同步。目前,遥感技术在水利行业的应用范围非常广,在为水利高质量发展提供有力支撑和强力驱动的数字孪生水利建设中发挥了重要的作用。近十多年来,快速发展的遥感技术为提升水利遥感应用能力提供了强有力的支撑,具体表现在数据源的丰富化和多源化、数据获取的速度和效率显著提升、定量估算与反演精度大大提高、专题信息可获得性不断增加、数据处理和信息提取的智能化水平取得长足进步。介绍了遥感技术发展赋能水利遥感应用领域的现状和前景展望,为遥感技术赋能水利新质生产力提供参考。

勘测数字底座构建技术及应用

本文以我国特大山地城市重庆为例,介绍了利用工程勘察信息、测绘地理信息、建(构)筑物信息及各类专题信息,构建勘测数字底座的方法,即通过多维度数据采集、多尺度信息模型构建、多源时空信息融合与调度服务等技术,建立覆盖重庆全域范围的勘测数字底座,并结合项目实践开展建设工程全生命周期的创新应用。结果表明,勘测数字底座能够实现对勘察设计行业的数字赋能,升级改造传统作业模式,支撑工程建设领域高质量发展。

大数据时代的农业发展:国际前沿与中国实践

随着信息革命、数据革命的到来,农业生产已经发生了翻天覆地的变化。在新时代,传统农业逐步遇到瓶颈,亟待向着精准农业、智慧农业等新型数字农业发展模式转型。21世纪以来,世界多国探索了农业大数据的十余个领域,发展了一系列数据收集、存储、分析的技术和方法,并取得了显著的应用成效。中国面临着人口多、耕地少等一系列问题,应紧跟技术进步,结合中国国情和农业特征,加快发展农业新质生产力,在农业大数据的基础研究、行业标准、基础设施、供应链管理、金融保险等方面着力,促进农业高质量发展,加快建设农业强国,促进农业农村现代化。

大数据辅助审判的潜在风险与防范路径

大数据辅助审判技术在提升审判质效、实现司法公正等方面发挥重要作用,但应用该技术带来的潜在风险同样不应被忽视。大数据辅助审判在技术赋能层面面临着数据基础不坚实、信息安全存在隐患和算法运用产生风险等问题,在技术应用实效层面又存在着技术僭越辅助地位、部分特殊场景的强行应用引发负面效果等风险。风险产生的缘由主要在于大数据系统开发行为缺乏统一指引和规范、审判人员应用大数据技术存在思维误区以及技术瓶颈难以突破三个方面。为此,我们应加强对数据开发共享的统一指引,提升司法数据信息安全保护力度,完善针对算法的法律规制,通过原则确立、权限与程序设置将技术应用限制在辅助地位,构建大数据辅助审判技术动态分层适用制度。

结合载客热点和POI的出租车停车位划定方法

针对出租车随意停靠造成城市交通拥堵甚至交通事故的问题,利用成都实际区域的出租车GPS(Global Position System)数据和爬取的POI(Point of Interest)数据,使用DBSCAN(Density-Based Spatial Clustering of Application with Noise)聚类算法对上下客点进行聚类,得到出租车的载客热点,根据POI的类型划定载客热点区域的类型,对出租车不同时间的出行需求进行分析,进而划分出出租车的固定停车区域。研究结果表明,出租车固定停车区域的设定与出行者的出行需求有关,即将固定停车区域设置在出行者出行需求多的区域,可以满足出行者的不同出行需求。结合出租车载客热点和爬取POI数据划定固定停车区域的方法具有较高的实用性,可为城市交通安全方面提供理论和现实意义。

基于Android平台的USB数据采集系统

介绍了一种新型的Android平台的数据采集系统,并实现了与LPC2142之间的USB通信设计。描述了Android USB应用程序的完整开发过程,并在此基础上实现了Android手机和AMR平台之间的USB通信,是基于开源移动终端Android的最新应用程序的开发。该设计前端采用LPC2142的A\D接口采集数据并通过USB数据线发送到后端设备。后端采用Android3.1平板电脑的USB通信接口接收数据,并在Android平板设备上显示波形。该设计实用,新颖,具有广阔的应用前景。

以价值医疗为导向的大型公立医院运营数据中心建设实践

目的:基于价值医疗导向,对大型公立医院运营数据中心的建设进行探索,助力医院医疗服务模式创新,促进公立医院高质量发展。方法:在价值医疗内涵下从医疗质量、医保支付调控、业财融合、患者服务、后勤医工精益管理等方面构建多维度多层次多模态运营数据中心的建设模式。结果:实现以价值医疗为导向的运营数据中心建设,助力医院的运营管理体系构建。结论:价值医疗理念可为医院高质量医疗服务、运行成本控制、维持可持续发展提供有效的指导,基于此建设的运营数据中心能够为医院的精细化运营提供指标数据参考。

基于Android系统的数据存储访问机制研究

数据存储是开发应用程序时需要解决的最基本的问题,数据必须以某种方式保存,并且能够有效、方便的使用和更新处理。Android系统是基于Google推出的能在智能终端设备上运行的操作系统,随着应用范围和开发需求的增大,对软件的开发效率、性能及数据的存储访问机制受到普遍关注。文中从SharedPreferences、文件、SQLite、ContentProvider、网络五个方面深入阐述了Android系统的数据存储访问机制原理,并结合它们的内在原理,给出了具体实现方法。最后根据它们各自的优缺点,分析了各类存储访问机制的适用范围。

面向深度学习应用的组件式开发框架的设计实现

针对目前深度学习应用缺少有效的开发与部署工具的问题,提出一个面向深度学习应用的组件式开发框架。所提框架根据应用的资源消耗类型进行功能拆分,使用评测引导的资源分配方案进行瓶颈消除,使用分步装箱方案兼顾高CPU利用率和低显存开销的功能放置。基于此框架开发的实时车牌号检测应用,在吞吐优先模式下GPU利用率达到82%,在延迟优先模式下平均应用延迟达到0.73 s,在三种模式下(吞吐优先模式、延迟优先模式以及吞吐/延迟的均衡模式)下,CPU平均利用率达到68.8%。实验结果表明,基于此框架能够进行硬件吞吐与应用延迟的平衡型配置,在吞吐优先模式下高效利用平台的计算资源,在延迟优先模式下满足应用的低延迟需求。相较于MediaPipe,使用本框架能够进行超实时的多人姿态估计应用开发,应用的检测帧率最高提升了1077%。实验结果表明,所提框架能够作为CPU-GPU异构服务器上面向深度学习应用开发部署的有效解决方案。

“以学生为中心”模式下应用型本科院校校本文化通识课程开发策略

应用型本科院校《走近工业文化》校本通识课程教学中存在着教学内容难以弥合大学生价值体系向思想体系转换的认知冲突盲区,教学过程难以解决大学生思维体系向实践体系落地的体用贯通难题,教学资源建设实际存在的场馆建设与课程建设及教学改革与科学研究割裂现状,教学评价融合应用型院校文化育人目标与产业报国引领不足困境等问题,借鉴“以学生为中心”的本科教学改革国际教育理念,通过优化课程教学目标及内容、改进教学方法、创新教学手段及教学资源和组建多学科教师队伍,促进学生深化认识并初步形成工业文化认知框架,鲜活感知并实质增强参与工业文化建设的社会责任感与使命感,强化认同并真实生发学好工科专业投身工业报国的动力。