The design and applications of a land information system built upon ARC/INFO and ArcView are presented. The proposed system not only maintains all the advantages of the more conventional implementations but also enhan...The design and applications of a land information system built upon ARC/INFO and ArcView are presented. The proposed system not only maintains all the advantages of the more conventional implementations but also enhances them in the following ways: 1) the application program interfaces (API) are used to transmit data and messages among different parts of the system; 2) the integrated system can support studies on land evaluations and ecological analyses by efficient management of attribute and spatial data and 3) correspondingly, spatial records and attributive records are linked by the same identifiers (ID). A case study application in Zigui County of the Three Gorges Area in China demonstrates that the system could employ land-use maps and land property data to predicate and analyze the land utilization changes in the past, present and future. The ecological environment analysis can be carried out with the data of land, economics and terrain map used, showing that the system can be widely applied, especially to survey land and environment resources in the countryside area.展开更多
BIM （building information modelling） has gained wider acceptance in the A/E/C （architecture/engineering/construction） industry in the US and internationally. This paper presents current industry approaches of impl...BIM （building information modelling） has gained wider acceptance in the A/E/C （architecture/engineering/construction） industry in the US and internationally. This paper presents current industry approaches of implementing 3D point cloud data in BIM and VDC （virtual design and construction） applications during various stages of a project life cycle and the challenges associated with processing the huge amount of 3D point cloud data. Conversion from discrete 3D point cloud raster data to geometric/vector BIM data remains to be a labor-intensive process. The needs for intelligent geometric feature detection/reconstruction algorithms for automated point cloud processing and issues related to data management are discussed. This paper also presents an innovative approach for integrating 3D point cloud data with BIM to efficiently augment built environment design, construction and management.展开更多
Brazilian studies in （Critical） Applied Linguistics＇ field have being carried out focusing on ethics. They focused on the relation between ethics and two main contexts： education and research. This paper aims at d...Brazilian studies in （Critical） Applied Linguistics＇ field have being carried out focusing on ethics. They focused on the relation between ethics and two main contexts： education and research. This paper aims at discussing what ethical procedures were taken in international studies. The data were collected at ERIC （Educational Resources Information Centre） database during the first semester of 2016. As analytical categories, we used the ethical procedures established by Brazilian Applied Linguists. The contribution is addressed to both BAL and International Applied Linguists once it offers an overview about a specific topic of research （viz., ethics）. As results, we observed that most of the topics presented by the Brazilian applied linguists were also covered by the research analyses. However, the social relevance was not reported properly by the data and that may be improved.展开更多
Under the framework of developing resilient and livable cities, this study was aimed at engaging local communities to achieve the goal of public participation. Given the prevalence of smart mobile devices, an interact...Under the framework of developing resilient and livable cities, this study was aimed at engaging local communities to achieve the goal of public participation. Given the prevalence of smart mobile devices, an interactive app called ＂Citizen Probe＂ was designed to guide users to participate in building resilient and livable urban spaces by enabling users to report the condition of their living environment. The app collects feedback from users regarding the perceived condition of the urban environment, and this information is used to further develop an open online index system. The index system serves as a guide for the public to actively transform their city into a resilient and livable urban environment. The app was designed for the reporting of flood incidents with the objective of resilient disaster prevention, which can be achieved by enabling users to identify disaster conditions in order to develop a database for basic disaster information. The database can be used in the prevention and mitigation of disasters and to provide a foundation for developing indices for assessing the resilience and livability of urban areas. Three communities in Taichung, Taiwan, participated in the study. Residents of these communities were requested to use the app and identify local environmental conditions to obtain spatial data according to four stages in disaster response： assessment, readiness, response, and recovery. A volunteered geographic information database was developed to display maps for providing users with current reports ofpredisaster risk assessment, disaster response capacity, real-time disaster conditions, and overall disaster recovery. In addition, the database can be used as a useful tool for researchers to conduct GIS analyses and initiate related discussions. The interactive appraises public awareness on disaster prevention and makes disaster prevention a daily norm. Further discussion between the public and experts will be initiated to assist in policy management pertaining to the ongoing development of cities in addition to improving disaster prevention and response measures.展开更多
In this paper, we research the probability theory and matrix transformation based technique to manage the data for processing and analysis. Clustering analysis research has a long history, over the decades, the import...In this paper, we research the probability theory and matrix transformation based technique to manage the data for processing and analysis. Clustering analysis research has a long history, over the decades, the importance and the cross characteristics with other research direction to get the affirmation of the people. The probability theory and linear algebra act as the powerful tool for analyzing and mining data. The experimental result illustrates the effectiveness. In the near future, we plan to conduct more theoretical analysis on the topic.展开更多
首先,利用倾斜摄影与重点区域工程实景建筑信息模型(Building Information Modeling,BIM)建模,结合地理信息系统(Geographic Information System,GIS)数据处理构建数字地形。其次,脱密已有景区数据,对脱密后的景区基础空间数据进行处理...首先,利用倾斜摄影与重点区域工程实景建筑信息模型(Building Information Modeling,BIM)建模,结合地理信息系统(Geographic Information System,GIS)数据处理构建数字地形。其次,脱密已有景区数据,对脱密后的景区基础空间数据进行处理、入库、制作专题图以及构建空间服务,脱密后的景区空间要素对象经过数据平台数据治理,作为符合开放地理空间信息联盟(Open Geospatial Consortium,OGC)标准的空间服务进行发布。最后,综合展示模块通过图层控制功能自主选择空间服务于一张图中叠加展示,实现智慧旅游平台集浏览、查询、统计、分析于一体的二三维一体化综合展示模型研究。展开更多
Functional proteomics can be defined as a strategy to couple proteomic information with biochemical and physiological analyses with the aim of understanding better the functions of proteins in normal and diseased orga...Functional proteomics can be defined as a strategy to couple proteomic information with biochemical and physiological analyses with the aim of understanding better the functions of proteins in normal and diseased organs.In recent years,a variety of publicly available bioinformatics databases have been developed to support protein-related information management and biological knowledge discovery.In addition to being used to annotate the proteome,these resources also offer the opportunity to develop global approaches to the study of the functional role of proteins both in health and disease.Here,we present a comprehensive review of the major human protein bioinformatics databases.We conclude this review by discussing a few examples that illustrate the importance of these databases in functional proteomics research.展开更多
For massive order allocation problem of the third party logistics （TPL） in ecommerce, this paper proposes a general order allocation model based on cloud architecture and hybrid genetic algorithm （GA）, implementin...For massive order allocation problem of the third party logistics （TPL） in ecommerce, this paper proposes a general order allocation model based on cloud architecture and hybrid genetic algorithm （GA）, implementing cloud deployable MapReduce （MR） code to parallelize allocation process, using heuristic rule to fix illegal chromosome during encoding process and adopting mixed integer programming （MIP） as fitness flmction to guarantee rationality of chromosome fitness. The simulation experiment shows that in mass processing of orders, the model performance in a multi-server cluster environment is remarkable superior to that in stand-alone environment. This model can be directly applied to cloud based logistics information platform （LIP） in near future, implementing fast auto-allocation for massive concurrent orders, with great application value.展开更多
基金Project supported by the National Natural Science Foundation of China (No. 49801010) the Chinese Academy of Sciences (No. KZ951-A1-202-02-01).
文摘The design and applications of a land information system built upon ARC/INFO and ArcView are presented. The proposed system not only maintains all the advantages of the more conventional implementations but also enhances them in the following ways: 1) the application program interfaces (API) are used to transmit data and messages among different parts of the system; 2) the integrated system can support studies on land evaluations and ecological analyses by efficient management of attribute and spatial data and 3) correspondingly, spatial records and attributive records are linked by the same identifiers (ID). A case study application in Zigui County of the Three Gorges Area in China demonstrates that the system could employ land-use maps and land property data to predicate and analyze the land utilization changes in the past, present and future. The ecological environment analysis can be carried out with the data of land, economics and terrain map used, showing that the system can be widely applied, especially to survey land and environment resources in the countryside area.
文摘BIM （building information modelling） has gained wider acceptance in the A/E/C （architecture/engineering/construction） industry in the US and internationally. This paper presents current industry approaches of implementing 3D point cloud data in BIM and VDC （virtual design and construction） applications during various stages of a project life cycle and the challenges associated with processing the huge amount of 3D point cloud data. Conversion from discrete 3D point cloud raster data to geometric/vector BIM data remains to be a labor-intensive process. The needs for intelligent geometric feature detection/reconstruction algorithms for automated point cloud processing and issues related to data management are discussed. This paper also presents an innovative approach for integrating 3D point cloud data with BIM to efficiently augment built environment design, construction and management.
文摘Brazilian studies in （Critical） Applied Linguistics＇ field have being carried out focusing on ethics. They focused on the relation between ethics and two main contexts： education and research. This paper aims at discussing what ethical procedures were taken in international studies. The data were collected at ERIC （Educational Resources Information Centre） database during the first semester of 2016. As analytical categories, we used the ethical procedures established by Brazilian Applied Linguists. The contribution is addressed to both BAL and International Applied Linguists once it offers an overview about a specific topic of research （viz., ethics）. As results, we observed that most of the topics presented by the Brazilian applied linguists were also covered by the research analyses. However, the social relevance was not reported properly by the data and that may be improved.
文摘Under the framework of developing resilient and livable cities, this study was aimed at engaging local communities to achieve the goal of public participation. Given the prevalence of smart mobile devices, an interactive app called ＂Citizen Probe＂ was designed to guide users to participate in building resilient and livable urban spaces by enabling users to report the condition of their living environment. The app collects feedback from users regarding the perceived condition of the urban environment, and this information is used to further develop an open online index system. The index system serves as a guide for the public to actively transform their city into a resilient and livable urban environment. The app was designed for the reporting of flood incidents with the objective of resilient disaster prevention, which can be achieved by enabling users to identify disaster conditions in order to develop a database for basic disaster information. The database can be used in the prevention and mitigation of disasters and to provide a foundation for developing indices for assessing the resilience and livability of urban areas. Three communities in Taichung, Taiwan, participated in the study. Residents of these communities were requested to use the app and identify local environmental conditions to obtain spatial data according to four stages in disaster response： assessment, readiness, response, and recovery. A volunteered geographic information database was developed to display maps for providing users with current reports ofpredisaster risk assessment, disaster response capacity, real-time disaster conditions, and overall disaster recovery. In addition, the database can be used as a useful tool for researchers to conduct GIS analyses and initiate related discussions. The interactive appraises public awareness on disaster prevention and makes disaster prevention a daily norm. Further discussion between the public and experts will be initiated to assist in policy management pertaining to the ongoing development of cities in addition to improving disaster prevention and response measures.
文摘In this paper, we research the probability theory and matrix transformation based technique to manage the data for processing and analysis. Clustering analysis research has a long history, over the decades, the importance and the cross characteristics with other research direction to get the affirmation of the people. The probability theory and linear algebra act as the powerful tool for analyzing and mining data. The experimental result illustrates the effectiveness. In the near future, we plan to conduct more theoretical analysis on the topic.
文摘首先,利用倾斜摄影与重点区域工程实景建筑信息模型(Building Information Modeling,BIM)建模,结合地理信息系统(Geographic Information System,GIS)数据处理构建数字地形。其次,脱密已有景区数据,对脱密后的景区基础空间数据进行处理、入库、制作专题图以及构建空间服务,脱密后的景区空间要素对象经过数据平台数据治理,作为符合开放地理空间信息联盟(Open Geospatial Consortium,OGC)标准的空间服务进行发布。最后,综合展示模块通过图层控制功能自主选择空间服务于一张图中叠加展示,实现智慧旅游平台集浏览、查询、统计、分析于一体的二三维一体化综合展示模型研究。
基金supported by the National Basic Research Program of China (Grant Nos. 2010CB912700 and 2011CB910601)
文摘Functional proteomics can be defined as a strategy to couple proteomic information with biochemical and physiological analyses with the aim of understanding better the functions of proteins in normal and diseased organs.In recent years,a variety of publicly available bioinformatics databases have been developed to support protein-related information management and biological knowledge discovery.In addition to being used to annotate the proteome,these resources also offer the opportunity to develop global approaches to the study of the functional role of proteins both in health and disease.Here,we present a comprehensive review of the major human protein bioinformatics databases.We conclude this review by discussing a few examples that illustrate the importance of these databases in functional proteomics research.
基金Foundation item： the National Science ＆ Technology Pillar Program （Nos. 2011BAH21B02 and 2011BAH21B03） and the Chengdu Major Scientific and Technological Achievements （No. 11zHzD038）
文摘For massive order allocation problem of the third party logistics （TPL） in ecommerce, this paper proposes a general order allocation model based on cloud architecture and hybrid genetic algorithm （GA）, implementing cloud deployable MapReduce （MR） code to parallelize allocation process, using heuristic rule to fix illegal chromosome during encoding process and adopting mixed integer programming （MIP） as fitness flmction to guarantee rationality of chromosome fitness. The simulation experiment shows that in mass processing of orders, the model performance in a multi-server cluster environment is remarkable superior to that in stand-alone environment. This model can be directly applied to cloud based logistics information platform （LIP） in near future, implementing fast auto-allocation for massive concurrent orders, with great application value.
