Information Collection of Land Use Status Based on Large Scale Topographic Map

With large scale topographic map charted in accordance with Topographic Map Symbols of 1:500 1:1 000 1:2 000(GB/T 20257.1-2007) as the base map of land survey,the land use status information was collected from the map based on the standard in Present Status Classification of Land Utilization(GB/T 21010-2007).The study discussed in details the information of some land types including water system,residential sites,facilities,transportation,pipeline,vegetation,soils and so on,and pointed out problems on extracting land use status information from large scale topographic map.In order to share resources and save social costs,it suggested unifying the standard to classify land types and define all kinds of land types by quantitative values.

Assessment on Evaluating Parameters of Rice Core Collections Constructed by Genotypic Values and Molecular Marker Information

Eleven evaluating parameters for rice core collection were assessed based on genotypic values and molecular marke＇ information. Monte Carlo simulation combined with mixed linear model was used to eliminate the interference from environment in order to draw more reliable results. The coincidence rate of range （CR） was the optimal parameter. Mean Simpson index （MD）, mean Shannon-Weaver index of genetic diversity （M1） and mean polymorphism information content （MPIC） were important evaluating parameters. The variable rate of coefficient of variation （VR） could act as an important reference parameter for evaluating the variation degree of core collection. Percentage of polymorphic loci （p） could be used as a determination parameter for the size of core collection. Mean difference percentage （MD） was a determination parameter for the reliability judgment of core collection. The effective evaluating parameters for core collection selected in the research could be used as criteria for sampling percentage in different plant germplasm populations.

A Compositive Information Collection Platform System Based on Web Service

The aim is to solve the problem that how to share dispersive and heterogeneous data inside business information system or some other information source. On the basis of Web service, this paper adopts the notion of Data As ,Service to build service-oriented data integration architecture. According to this architecture, we develop data collection system which effectively integrates data from heterogeneous informa tion source and present a uniform data view to end users by implementing sharing data from heterogeneous systems and information source . At last, this paper gives an example of a compositive information collection platform system.

Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information

Unmanned aerial vehicle(UAV)was introduced as a novel traffic device to collect road traffic information and its cruise route planning problem was considered.Firstly,a multi-objective optimization model was proposed aiming at minimizing the total cruise distance and the number of UAVs used,which used UAV maximum cruise distance,the number of UAVs available and time window of each monitored target as constraints.Then,a novel multi-objective evolutionary algorithm was proposed.Next,a case study with three time window scenarios was implemented.The results show that both the total cruise distance and the number of UAVs used continue to increase with the time window constraint becoming narrower.Compared with the initial optimal solutions,the optimal total cruise distance and the number of UAVs used fall by an average of 30.93% and 31.74%,respectively.Finally,some concerns using UAV to collect road traffic information were discussed.

AUV-Aided Data Collection Considering Adaptive Ocean Currents for Underwater Wireless Sensor Networks

Autonomous underwater vehicle(AUV)-assisted data collection is an efficient approach to implementing smart ocean.However,the data collection in time-varying ocean currents is plagued by two critical issues:AUV yaw and sensor node movement.We propose an adaptive AUV-assisted data collection strategy for ocean currents to address these issues.First,we consider the energy consumption of an AUV in conjunction with the value of information(VoI)over the sensor nodes and formulate an optimization problem to maximize the VoI-energy ratio.The AUV yaw problem is then solved by deriving the AUV's reachable region in different ocean current environments and the optimal cruising direction to the target nodes.Finally,using the predicted VoI-energy ratio,we sequentially design a distributed path planning algorithm to select the next target node for AUV.The simulation results indicate that the proposed strategy can utilize ocean currents to aid AUV navigation,thereby reducing the AUV's energy consumption and ensuring timely data collection.

Research on the Correlation Between Oil Menitoring and Vibration Monitoring in Information Collecting and Processing Monitoring

Oil monitoring and vibration monitoring are two principal techniques for mechanical fault diagnosis and condition monitoring at present. They monitor the mechanical condition by different approaches, nevertheless, oil and vibration monitoring are related in information collecting and processing. In the same mechanical system, the information obtained from the same information source can be described with the same expression form. The expressions are constituted of a structure matrix, a relative matrix and a system matrix. For oil and vibration monitoring, the information source is correlation and the collection is independent and complementary. And oil monitoring and vibration monitoring have the same process method when they yield their information. This research has provided a reasonable and useful approach to combine oil monitoring and vibration monitoring.

Survey of the Creditor＇s Ability to Collect and Use the Enterprise Information

This paper is concerned with the analysis of the creditor＇s ability to collect, analyze and judge business information, which is a realistic problem for the bank to control the risk of loan effectively. We not only know the bank＇s application of financial and non-financial information during the process of credit extension but also investigate the use of non-financial information by questionnaire. It is discovered that the bank even believes the information that directly acquired by itself while collecting, analyzing and judging the reliability of business information. Through some sensitive information such as the changing of accounts receivable and cash flow and the connection trade, it can predict the potential risk further. In addition, the results show that it is the perfection of internal control system of intermediary （such as accounting firm） and the business enterprise itself that make the bank get the true information of business enterprise.

Informal Sector Solid Waste Collection and Recycling in Zaria, Nigeria

Management of solid wastes has become a critical issue for almost all the major cities in Nigeria. Although the responsibility for solid waste management remains primarily with the local government councils, several other stakeholders are playing significant roles in the system. In Zaria, the scavengers, waste pickers and collectors eke out a living by collecting waste and selling recyclable materials out of the urban solid wastes. The paper utilized data collected using questionnaire survey, in-depth discussion guides and open-ended interviews to examine the socio-economic characteristics, the functions, aspects of involvement of children, the working conditions and problems of waste collectors and pickers in Zaria. The paper found that the sector is the only means of solid waste collection in several sections of the town and is a source of livelihood for the poor. The activities help in realizing the aim of modern waste management, that is to move up the solid waste management hierarchy by reducing reliance on disposal and increasing recycling. In spite of these important functions, informal waste collection and recycling are associated with problems of unsanitary conditions and health risks to the communities and the waste collectors. Recommendations have been made to integrate the informal sector into the formal waste management by incorporating the employment needs of the urban poor and enhancing the efficiency of government in addressing the main problems.

Design and Research of Information Processing System Based on Mix Platform

Aim To develop an information processing system with real time processing capability and artistic user interface for the optoelectronic antagonism general measuring system. Methods The A/D board and the multifunctional board communicating with every instruments were designed, data collecting and processing were realized by selecting appropriate software platform. Results Simulating results show the information processing system can operate correctly and dependably, the measuring rules, interactive interface and data handling method were all accepted by the user. Conclusion The designing approach based on the mix platform takes advantages of the two operating systems, the desired performances are acquired both in the real time processing and with the friendly artistic user interface.

Application and research of global grid database design based on geographic information

Energy crisis and climate change have become two seriously concerned issues universally. As a feasible solution, Global Energy Interconnection(GEI) has been highly praised and positively responded by the international community once proposed by China. From strategic conception to implementation, GEI development has entered a new phase of joint action now. Gathering and building a global grid database is a prerequisite for conducting research on GEI. Based on the requirement of global grid data management and application, combining with big data and geographic information technology, this paper studies the global grid data acquisition and analysis process, sorts out and designs the global grid database structure supporting GEI research, and builds a global grid database system.

Information acquisition technology for small hydropower stations in remote areas based on high-and low-orbit satellites

With a lack of coverage in private and public power communication networks,especially for collection of information from hydropower stations in remote areas,communication coverage is a significant issue.Satellite communication provides a large coverage area suitable for a variety of services and is less affected by geographical factors;moreover,the costs are independent of the communication distance.This study investigates information acquisition technology for small hydropower stations in remote areas using high-and low-orbit satellites.The information collection needs of small hydropower stations in remote areas are analyzed,and an information acquisition system is designed using high-and low-orbit satellites.For network security protection,network anomaly detection technology based on a support vector machine algorithm is proposed.The effectiveness of information collection was evaluated and verified for small hydropower plants in remote areas.The system provides technical support for“full coverage,full collection,and full monitoring”of the measurement automation information acquisition system.

UAV trajectory planning algorithmfor data collection in wireless sensor networks

In order to maximize the value of information(VoI)of collected data in unmanned aerial vehicle(UAV)-aided wireless sensor networks(WSNs),a UAV trajectory planning algorithm named maximum VoI first and successive convex approximation(MVF-SCA)is proposed.First,the Rician channel model is adopted in the system and sensor nodes(SNs)are divided into key nodes and common nodes.Secondly,the data collection problem is formulated as a mixed integer non-linear program(MINLP)problem.The problem is divided into two sub-problems according to the different types of SNs to seek a sub-optimal solution with a low complexity.Finally,the MVF-SCA algorithm for UAV trajectory planning is proposed,which can not only be used for daily data collection in the target area,but also collect time-sensitive abnormal data in time when the exception occurs.Simulation results show that,compared with the existing classic traveling salesman problem(TSP)algorithm and greedy path planning algorithm,the VoI collected by the proposed algorithm can be improved by about 15%to 30%.

Optimized Design of Intelligent Management and Analysis System for Broiler Breeding Information

For a long time,the management and analysis of broiler breeding information in China remain in the 1.0 era of manual recording,careless processing,non-standard analysis and non-standard filing,and lack of accurate and intelligent information management and analysis system,which limit the development of broiler breeding industry.Based on the actual needs of broiler breeding in China,the project team focused on the collection,management and analysis of broiler breeding information and successfully developed Intelligent Management and Analysis System for Broiler Breeding Information.The system is the most complete management and analysis system of broiler breeding information in China,which is closely combined with practice.It has been successfully applied to broiler breeding by more than 10 breeding institutions in China,some of which are national-level core broiler breeding farms.The successful development and application of the system will effectively improve the efficiency of broiler breeding in China,narrow the gap between China and developed countries,open the 2.0 era of precise,intelligent and modular broiler breeding,and improve the core competitiveness of broiler breeding in China.

Research on Mobile Information Access based on Intemet of Things Technology

The paper design mobile information collection system based on lnternet of Things, implemented access gateway by smart mobile devices through a variety of ways, such as Wi-Fi and access the underlying perceptual information based on ZigBee wireless sensor networks. On the one hand, For information sensitivity of the sensor network, we design the mobile terminal through the gateway access authentication protocol, and effective solute the authentication and infbnnation between mobile devices and gateways, gateway and sensor network nodes obtain permission problem; on the other hand, according to the practical application of mobile information collection characteristics, the paper proposed information collection strategy based on historical data movement path to solve the problem for too long the device connection is established when the mobile smart devices collecting information along fixed lines, increasing the actual data transmission time and improve the efficiency of information transmission.

基于云计算的地震网络数据安全态势感知仿真

地震发生前具有特殊波动响应特征,通过地震台网灾害信息可确定震灾范围,但是网络个人用户无法通过终端服务器及时查询地震数据,导致对地震的安全感知出现延迟问题。针对地震数据处理的任务密集、流程复杂的计算需求,提出基于云计算的地震网络数据安全态势感知方法。在地震节点布局中融入贝叶斯结构,构成混合结构化安全态势采集模型。应用数据分类方法估计出地震态势数据,提取地震发生的隶属度特征,构建地震网络数据安全态势感知模型。按照区域影响因子算出地震信息量,利用相似原则区分灾害程度,检测地震发生范围的安全态势。实验结果证明:研究方法感知获取的地震层间位移与震中国方位角和实际情况一致,偏差较小,能够明确当前地震区域的安全态势。

论李华伟博士对图书馆事业的卓越贡献

文章回顾李华伟博士图书馆职业生涯的里程碑(1958-2008),以史实阐述李华伟博士在图书馆资源建设、信息技术推广、国际交流合作等领域的贡献卓著,及其对图书馆事业的发展与变革产生的深远影响,认为李华伟博士是享誉世界的杰出华美图书馆专家、图书馆学家和图书馆活动家。

全院一体化重症监护管理信息系统的构建与应用

目的探讨以患者为中心的医院一体化重症监护管理信息系统的构建与应用成效。方法通过JH Framework框架搭建应用程序,采用Widget-Canvas封装功能,通过ClickOnce技术更新部署,实现监护仪、呼吸机等生命支持设备体征数据的自动采集、传输、存储、分析,实现重症患者一体化管理。结果系统应用后,重症医学科医嘱执行规范率提升至99.90%,呼吸与危重症医学科提升至99.50%(P<0.05);呼吸与危重症医学科护理文书书写合格率由98.18%上升至99.71%(P<0.05);重症医学科不良事件发生率由1.80%下降至0.56%,呼吸与危重症医学科不良事件发生率由0.32%下降至0.15%。结论该系统可以减轻医护人员手工录入、转抄工作量,降低不良事件发生率,有效规范重症电子病历文书,提高患者生命支持设备数据利用率,提升重症监护一体化和数字化管理水平。

征信体系建设下个人信息保护的进路研究

目前,我国征信体系在社会多个领域实现了覆盖且仍在深入。为弥补“结果保护”理念引发的个人信息收集与共享泛化、个人信息处理规则透明度较低等缺陷,应引入“过程保护”理念,明晰个人征信信息收集、共享的范围,加强有关征信规则的有效应用。同时,要统筹个人征信与失信惩戒的体系建设,明晰个人征信信息侵权赔偿的认定标准,进而实现对个人信息的有效保护。