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To obtain the explicit function for optimizing the cutting-screw-thread (CST) in crash, the simulations of frontal crash at the speed of 56 km/h have been carried out in VPG. The peak acceleration in crash has been taken as the evaluation index of energy absorption characteristics. First, the single factor experiment was taken based on six parameters affecting on the absorption characteristics of CST. Second, the peak acceleration function of each parameter by using response surface method (RSM) is obtained. Third, the explicit resultant peak acceleration function of six parameters by using RSM again is obtained. A dual RSM-based explicit method is proposed. According to this function, the best size dimensions of CST in different crash conditions could be easily obtained. Finally, an example shows that the values of the calculation errors for simulation value and target value (40 g) are 3.6% and 1.3%, respectively. This method can satisfy the demand for engineering accuracy.

The worldwide outbreak of avian influenza among poultry species and humans is associated with the H5N1 subtype of avian influenza A virus (AIV). This highlighted the need to develop safe H5 AIV diagnostic methods. 7H10, an H5-specific monoclonal antibody (Mab), can be used for immunohistochemical (IHC) staining for formalin-fixed tissue. An assortment of H5N1 tissue specimens infected naturally in paraffin sections from Asia, between years 2002-2006, including one human specimen, were tested. 7H10 detected H5 infection in all of these tissue samples infected naturally. In addition, 24 different human H5N1 isolates from Indonesia, 5 avian H5 isolates and 3 non-H5 isolates from Asia were inoculated into BALB/C mice and chicken embryos. Among these influenza viruses, 7H10 detected 28 of the 29 H5 virus strains by immunohistochemical staining, while none of non-H5 strains used in this study could be detected by 7H10, confirming its specificity to H5. Further, the eight-residue-long linear epitope, "FFWTILKP", identified through epitope mapping, enables 7H10 to detect >98.3% of H5 subtype viruses reported worldwide before 2007. This study describes a specific H5 diagnostic system with minimal possibility of exposure to live virus based on immunochemical staining.

Based on research on information organization and visualization mechanism of multimedia electronic map, this paper proposes an organization method about spatial information and multimedia information of multimedia electronic map: seamless spatial data were organized and managed by stratified expansion R-tree and Quad-tree hierarchy; and multimedia information data were organized and managed by hypermedia model based on an electronic map. Considering electronic map features, the paper also proposes a method for spatial date organization, which integrates Digital Landscape Model and Digital Cartographic Model, and a hybrid model between vector and raster spatial data. Then, the paper studies information visualization mechanism of multimedia electronic map. Finally, the paper certifies the results via a case of multimedia electronic map authoring tools software-Atlas2005.

The fusion of VISI (visual identity system Internet), digital maps and Web GIS is presented. Web GIS interface interactive design with VISI needs to consider more new factors. VISI can provide the design principle, elements and contents for the Web GIS. The design of the Wuhan Bus Search System is fulfilled to confirm the validity and practicability of the fusion.

Objective To evaluate the independent effects of the degree of blastocoele expansion and re-expansion and the inner cell mass (ICM) and trophectoderm (TE) grades on predicting live birth after fresh and vitrified/warmed single blastocyst transfer. Design Retrospective study. Setting Reproductive medical center. Patient(s) Women undergoing 844 fresh and 370 vitrified/warmed single blastocyst transfer cycles. Intervention(s) None. Main Outcome Measure(s) Live-birth rate correlated with blastocyst morphology parameters by logistic regression analysis and Spearman correlations analysis. Result(s) The degree of blastocoele expansion and re-expansion was the only blastocyst morphology parameter that exhibited a significant ability to predict live birth in both fresh and vitrified/warmed single blastocyst transfer cycles respectively by multivariate logistic regression and Spearman correlations analysis. Although the ICM grade was significantly related to live birth in fresh cycles according to the univariate model, its effect was not maintained in the multivariate logistic analysis. In vitrified/warmed cycles, neither ICM nor TE grade was correlated with live birth by logistic regression analysis. Conclusion(s) This study is the first to confirm that the degree of blastocoele expansion and re-expansion is a better predictor of live birth after both fresh and vitrified/warmed single blastocyst transfer cycles than ICM or TE grade.

Research on spatial cluster detection of traffic crash (TC) at the city level plays an essential role in safety improvement and urban development. This study aimed to detect spatial cluster pattern and identify riskier road segments (RRSs) of TC constrained by network with a two-step integrated method, called NKDE-GLINCS combining density estimation and spatial autocorrelation. The first step is novel and involves in spreading TC count to a density surface using Network-constrained Kernel Density Estimation (NKDE). The second step is the process of calculating local indicators of spatial association (LISA) using Network-constrained Getis-Ord Gi* (GLINCS). GLINCS takes the smoothed TC density as input value to identify locations of road segments with high risk. This method was tested using the TC data in 2007 in Wuhan, China. The results demonstrated that the method was valid to delineate TC cluster and identify risk road segments. Besides, it was more effective compared with traditional GLINCS using TC counting as input. Moreover, the top 20 road segments with high-high TC density at the significance level of 0.1 were listed. These results can promote a better identification of RRS, which is valuable in the pursuit of improving transit safety and sustainability in urban road network. Further research should address spatial-temporal analysis and TC factors exploration.

This chapter presents a feature matching approach based on a particle swarm optimization neural network (PSONN) in data integration to identify the corresponding features in different datasets. Unlike previous probability-based feature matching using a weighted average of multiple measures calculating matching probability, the proposed approach utilizes PSONN, obtaining similarity rules of feature matching to find matched features in different datasets. The feature matching strategy utilizing bidirectional matching, two-stage matching, and feature combination is also provided for solving all types of feature matching, including 1:0, 0:1, 1:1, 1:n, m:n, and m:1. The proposed approach is implemented for matching features from different datasets and is compared with a probability-based feature matching method. The experiments show that the weights of the same measures may vary for different data contexts. In addition, the results demonstrate the availability and advantages of the proposed approach in feature matching.

We report the first full-length infectious clone of strain JX/CHA/97 of rabbit hemorrhagic disease virus (RHDV). The transcripts from the full-length cDNA clones were infectious when they were directly injected into rabbits. The sequence of the virus recovered from the rabbits was identical to that of the injected RNA transcripts. The cDNA clone was engineered to contain one silent nucleotide change to create an EcoRV site (A to T at nucleotide 2908). The genetic marker was retained in the recovered progeny virus. The transfection of RNA transcripts into RK-13 cells resulted in the synthesis of viral antigens, indicating that the cDNA clones were replication competent. This stable infectious molecular clone should be an important tool for developing a better understanding of the molecular biology and pathogenesis of RHDV.

In recent years, the Chinese government has introduced a series of regulation policy for healthy development of the real estate market. In order to measure the effect, the impact of tax assessment policy on housing price dynamics is discussed in the second-hand property market of Shenzhen. Based on a literature and the critical factors to housing price, an interaction model is built by selecting housing attributes and market expectation of housing price as control variables, while tax policy as dummy variable. The results of data analysis show that tax policy does not affect the transaction prices significantly. However, there is significant but decreasing impact of market expectation on transaction average price, indicating that the policy effect is gradually digested and absorbed by the market. Moreover, the conclusions of research put forward suggestions for the government in issuing related real estate policies to effectively conduct the real estate market in the future.

This report describes the production of several MAbs against N195 protein, a major immunodomain of SARS CoV nucleocapsid protein [He, Q., Chong, K.H., Chang, H.H., Leung, B., Ling, A.E., Wei, T., Chan, S.W., Ooi, E.E., Kwang, J., 2004. Development of a Western blot assay for detection of antibodies against coronavirus causing severe acute respiratory syndrome. Clin. Diagn. Lab. Immunol. 11 (2) 417-422.]. One representative IgG1 monoclonal antibody (MAb), S-A5D5, was selected and characterized. S-A5D5 reacted specifically react with both recombinant and native nucleocapsid protein of SARS CoV. The reactivity of S-A5D5 with purified N195 protein and utilization of the MAb as a detector antibody to develop an antigen capture ELISA was assessed. As little as 37.5 pg of purified N protein and 50 TCID(50) of SARS CoV could be detected by the antigen capture ELISA. Specific binding of the MAb S-A5D5 to both purified N195 and SARS CoV nucleocapsid antigen was effectively inhibited by human SARS positive serum and guinea pig anti-N195 serum. The N protein in N195-spike recombinant baculovirus-infected Sf-9 cells could also be identified. N protein was detected in 18 IFA IgM-positive serum samples collected from SARS confirmed patients, but not in nine samples collected from SARS recovery patient. No false positive results were given when 60 samples from healthy individuals were tested, and no cross-reaction occurred when infectious bronchitis virus (IBV), chicken coronavirus, was tested. This monoclonal antibody-based antigen capture ELISA is thus a powerful tool for early diagnosis of SARS CoV infection.

In this study, two DNA fragments encoding amino acid (141-160)-(21-140)-(141-160) of the VP1 of FMDV (foot-and-mouth disease virus) serotype O and (138-160)-(21-40)-(138-160) of the serotype A FMDV were chemically synthesized. These two tandem-repeat fragments were ligated and transfected into prokaryotic expression vector pTrcHis A to construct pTH-O-A. The other vector called pTH-O-scIgG-A was constructed similarly only that the two tandem-repeat DNA fragments were linked by the bovine-IgG heavy chain coding sequence. Guinea pigs immunized with the two bivalent vaccines pTH-O-A and pTH-O-scIgG-A showed both specific antibody activity and T cell proliferation responses. FMDV challenge tests showed that 85% and 70% of guinea pigs vaccinated twice with 200 mg of the fusion protein of pTH-O-A were protected from FMDV serotype O and serotype A infection respectively. 70% and 57% of the guinea pigs immunized with the fusion protein of pTH-O-scIgG-A were protected from FMDV serotype O and serotype A infection respectively.

RNA interference (RNAi) is a powerful tool to silence gene expression posttranscriptionally. In this study, we evaluated the antiviral potential of small interfering RNA (siRNA) targeting VP1 of foot-and-mouth disease virus (FMDV), which is essential during the life cycle of the virus and plays a key role in virus attachment to susceptible cells. We investigated in vivo the inhibitory effect of VP1-specific siRNAs on FMDV replication in BHK-21 cells and suckling mice, a commonly used small animal model. The results showed that transfection of siRNA-expressing plasmids gave an 80 to 90% reduction in the expression of FMDV VP1 in BHK-21 cells. Moreover, BHK-21 cells transiently transfected with siRNA-expressing plasmids were specifically resistant to FMDV infection when exposed to 100 50% tissue culture infective doses of virus, and the antiviral effects extended to almost 48 h postinfection. Furthermore, subcutaneous injection of siRNA-expressing plasmids in the neck made suckling mice significantly less susceptible to FMDV. In conclusion, our data suggests that RNAi may provide a viable therapeutic approach to treat FMDV infection.

The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the vision-based detection results of this approach are combined with spatial relationships by means of the host device’s built-in Global Positioning System receiver, Inertial Measurement Unit and magnetometer. Virtual objects generated based on geospatial information are precisely registered in the real world, and an interaction method based on touch gestures is implemented. The entire method is independent of the network to ensure robustness to poor signal conditions. A prototype system was developed and tested on the Wuhan University campus to evaluate the method and validate its results. The findings demonstrate that our method achieves a high detection accuracy, stable geovisualization results and interaction.

In medicine, artificial neural networks (ANN) have been extensively applied in many fields to model the nonlinear relationship of multivariate data. Due to the difficulty of selecting input variables, attribute reduction techniques were widely used to reduce data to get a smaller set of attributes. However, to compute reductions from heterogeneous data, a discretizing algorithm was often introduced in dimensionality reduction methods, which may cause information loss. In this study, we developed an integrated method for estimating the medical care costs, obtained from 798 cases, associated with myocardial infarction disease. The subset of attributes was selected as the input variables of ANN by using an entropy-based information measure, fuzzy information entropy, which can deal with both categorical attributes and numerical attributes without discretization. Then, we applied a correction for the Akaike information criterion (ΑICc) to compare the networks. The results revealed that fuzzy information entropy was capable of selecting input variables from heterogeneous data for ANN, and the proposed procedure of this study provided a reasonable estimation of medical care costs, which can be adopted in other fields of medical science.

Ischemic heart disease (IHD) is a leading cause of death worldwide. Urban public health and medical management in Shenzhen, an international city in the developing country of China, is challenged by an increasing burden of IHD. This study analyzed the spatio-temporal variation of IHD hospital admissions from 2003 to 2012 utilizing spatial statistics, spatial analysis, and space-time scan statistics. The spatial statistics and spatial analysis measured the incidence rate (hospital admissions per 1,000 residents) and the standardized rate (the observed cases standardized by the expected cases) of IHD at the district level to determine the spatio-temporal distribution and identify patterns of change. The space-time scan statistics was used to identify spatio-temporal clusters of IHD hospital admissions at the district level. The other objective of this study was to forecast the IHD hospital admissions over the next three years (2013–2015) to predict the IHD incidence rates and the varying burdens of IHD-related medical services among the districts in Shenzhen. The results show that the highest hospital admissions, incidence rates, and standardized rates of IHD are in Futian. From 2003 to 2012, the IHD hospital admissions exhibited similar mean centers and directional distributions, with a slight increase in admissions toward the north in accordance with the movement of the total population. The incidence rates of IHD exhibited a gradual increase from 2003 to 2012 for all districts in Shenzhen, which may be the result of the rapid development of the economy and the increasing traffic pollution. In addition, some neighboring areas exhibited similar temporal change patterns, which were also detected by the spatio-temporal cluster analysis. Futian and Dapeng would have the highest and the lowest hospital admissions, respectively, although these districts have the highest incidence rates among all of the districts from 2013 to 2015 based on the prediction using the GM (1,1). In addition, the combined analysis of the prediction of IHD hospital admissions and the general hospital distributions shows that Pingshan and Longgang might experience the most serious burden of IHD hospital services in the near future, although Futian would still have the greatest number and the highest incidence rate of hospital admissions for IHD.

In recent years the propagating update of multi-represented datasets has become a crucial issue for maintaining geographic data, especially since National Spatial Data Infrastructure (NSDI) appeared. The key to propagating update is building the mappings between the datasets. Usually the traditional approaches of building the mappings don’t consider the attributive similarity and often use object IDs to build the mappings which may differ with the variation of data storage. Accordingly, a comprehensive similarity computing method is proposed and unified geographic entity code (UGEC) is put forwards to build the mappings in this chapter. A workflow of propagating update, which mainly consists of data preprocessing, changes detecting, changes extracting, master dataset updating, and target dataset updating, is presented on the basis of objects mappings. An experiment on implementation of this method demonstrates its viability at the end.

There is a tendency toward the creation of thematic maps on the web in the ongoing development of cartographic technology. However, automatically creating maps through the web and creating interactive web maps are two challenges associated with this field. To solve these problems, a web thematic cartography method based on a web service chain is presented here. Automated cartography is performed through knowledge-based web cartographic services, and interacting with the services is possible. The method is implemented in the construction of a urban thematic atlas in Shenzhen, China that is dedicated to supporting decision making for urban planning and public participatory thematic map making on the web. Há uma tendência em direção à criação dos mapas temáticos na Web. Entretanto, a geração automática de mapas e a geração de web maps interativos são dois desafios associados com este campo de pesquisa. Para resolver estes problemas, apresenta-se mapas tematicos na web criados por uma cadeia de serviços. A cartografia automatizada é realizada por meio de um serviços cartoraficos baseados em conhecimento, que interagem com os serviços quando possivel. O método foi implementado na construção de um atlas urbano de Shenzhen - China, dedicado a dar suporte à tomada de decisão para o planejamento urbano participação popular na geração de mapas temáticos na Web.

This paper discussed the expression of vector data under the Web environment, introduced a spatial data sensitive crawler (SDSC), and tested the novel technique to collect vector data in real cases. Furthermore, a defect reduction model has been improved so that the level of confidence of different vector data can be measured more accurately. The results of experiments show that the data collected by SDSC have a relatively higher credibility. Keywords—Spatial Data Sensitive Crawler; Vector Data; Defect Reduction Model; Measure of Confidence Level

Rapid urbanization and rapid urban growth present great challenges to the sustainable utilization of land resources. This paper discusses the on-going process of construction-to-ecological land conversion (CELC) in terms of three aspects: land use, environmental effects, and system responses. CELC is compared to other current land conversion strategies in China. Taking Shenzhen City as an example, this paper introduces five areas in which CELC has been implemented since 2009, including basic farmland protection zones, mining areas, ecological corridors, inefficient industrial zones, and urban villages. This paper argues that Shenzhen’s CELC model can improve the ecological environment, control urban sprawl, and promote sustainable land use and, thus, serve as an example for other cities in China.

Since the start of the 21st century, groundwater wells have been placed in red beds to solve the problem of scarce water resources in Southwest China and have rapidly expanded to other areas. By providing examples of cartography in Chengdu and Sichuan, China, and using the locations of groundwater in fractures and pores when monitoring and managing red sandstone and mudstone wells, a series of maps of groundwater wells at different scales in the red beds of Chengdu was obtained. Most of the wells located in red beds are located in Jintang, Dayi, and Qingbaijiang and exhibit different cluster features. The kernel density estimation and spatial cluster analysis classification methods were used based on the Density Based Spatial Clustering of Applications with Noise algorithm (DBSCAN) in three concentrated areas. This method describes the trends of the clustering results and the relationships between the locations of residents and red bed wells. The cartography results show that the groundwater wells in red beds are mainly distributed in hilly areas and partially correspond with the locations of villages and settlements, particularly their geological and topographic factors, which satisfy the maximum requirements of water use and recycling in Southwest China. The irrigation wells located in red beds are not only reliable and efficient but also replace inefficient water resources in the recharge-runoff-discharge groundwater process, which promotes the sustainable development of groundwater resources.

The construction for thematic map symbol is a very complex and intelligent process. This symbol can be automatically generated and easily shared on the web through the syntactic characteristics of statistical indicators and cartography visualization. This paper expounds the symbol types, inner structure and its design pattern. And a syntactic construction theory based on phoneme (thematic map primitive) — word (single thematic symbol) — sentence (combined symbols or complex symbols) structure model is put forward for automatic construction of thematic map symbol. As a result of this research, symbols can be defined using cartographic primitives which are arranged according to its syntactic principles. Its concept and schema is discussed, and some examples are presented.

Context-Sensitive, also known as context-aware, is a new computing model which taking people as a dominant factor, it requires the computing devices can detect the user's context information to adjust the system's behavior. Web Map Service (WMS) is a GIS (Geography information system) specification which is established by the OGC in accordance with the development of Web Service technology. In order to make the map services more user-friendly and get better user experience, our works are people-oriented and dynamically provide corresponding map services on the basis of the user's context information. In this paper we address an architecture of web map service which concentrates on context-sensitive. It can convert varies user's context information to different kinds of parameters, about the visualization of geographic data, to get variable map images in response to the users' context., and finally realizes providing context-sensitive Web Map Service.

Land registration is public act which is to record the state-owned land use right, collective land ownership, collective land use right and land mortgage, servitude, as well as other land rights required the registration according to laws and regulations onto land registering books. Land registration is one of the important government affairs , so it is very important to standardize, optimize and humanize the process of land registration. The management works of organization are realized through a variety of workflows. Process knowledge is in essence a kind of methodology knowledge and a system which including the core and the relational knowledge. In this paper, the ontology is introduced into the field of land registration and management, trying to optimize the flow of land registration, to promote the automation-building and intelligent Service of land registration affairs, to provide humanized and intelligent service for multi-types of users . This paper tries to build land registration procedure ontology by defining the land registration procedure ontology's key concepts which represent the kinds of processes of land registration and mapping the kinds of processes to OWL-S. The land registration procedure ontology shall be the start and the basis of the Web service.

GIS middleware is a mediator between application (or logical level) and basic services (or physical level), which is a key part of GeoInformation web services, can adapt to the context changes including spatial-temporal data, devices, situation of user, and services. There are many researches achievements of context-sensitive pervasive computing middleware existed. But in the GIS Field, it is very little about research on architecture of context-sensitive spatial information service middleware. This paper focuses on the system architecture of GIS middleware to support the building of context-sensitive applications. Four main components of GIS middleware: GIS Core Service, Context Manager, Data Adapter, and GIS Service Provider, are introduced in detail.GIS middleware is a mediator between application (or logical level) and basic services (or physical level), which is a key part of GeoInformation web services, can adapt to the context changes including spatial-temporal data, devices, situation of user, and services. There are many researches achievements of context-sensitive pervasive computing middleware existed. But in the GIS Field, it is very little about research on architecture of context-sensitive spatial information service middleware. This paper focuses on the system architecture of GIS middleware to support the building of context-sensitive applications. Four main components of GIS middleware: GIS Core Service, Context Manager, Data Adapter, and GIS Service Provider, are introduced in detail.

Virtual-real registration in Outdoor Augmented Reality is committed to enhance user's spatial cognition by overlaying virtual geographical objects on real scene. According to analyze fiducial detection registration method in indoor AR, for the purpose of avoiding complex and tedious process of position tracking and camera calibration in traditional registration methods, it puts forward and practices a virtual-real spatial information visualization registration method using affine representations. Based on the observation from Koenderink and van Doorn, Ullman and Basri in 1991 which is given a set of four or more non-coplanar 3D points, the projection of all points in the set can be computed as a linear combination of the projection of just four of the points, it sets up global affine coordinate system in light of world coordinates, camera coordinates and virtual coordinates and extracts four feature points from scene image and calculates the global affine coordinates of key points of virtual objects. Then according to a linear homogeneous coordinates of the four feature point's projection, it calculates projection pixel coordinates of key points of virtual objects. In addition, it proposes an approach to obtain pixel relative depth for hidden surface removal. Finally, by a case study, it verifies the feasibility and efficiency of the registration methods. The method would not only explore a new research direction for Geographical Information Science, but also would provide location-based information and services for outdoor AR.

Spatial information services are complicated and various nowadays, so how to push appropriate services according to users' real-time spatial context intelligently is a problem needed to be solved urgently. This paper summarizes the context of geospatial information, and puts forward the features of context-sensitive geospatial information services as well as formal model. A mechanism of pushing services intelligently was proposed aiming at users' features and personalized using demands, by studying the key operations of the context sensitive geospatial information services, and the storage, management as well as user pattern of the geospatial information service.

With the rapid development of the gazetteers, more and more geographical names databases has been established. Since the geographical names exit in form of records which provide little qualitative description other than quantitative information, geographical names are hardly shared and interoperable. In order to solve this problem, we urgently need to set up knowledge base for geographical names that shall provide qualitative knowledge to describe the essence of the elements. So, we use ontology and production rules to build geographical name knowledge base, where the geographical names ontology is regarded as the foundation for reuse and sharing of the geographical names information, and production rules are used to enhance the expressivity of the ontology. First of all, we analyzed the geographical names concepts and their semantics, the concepts of space and time and their relationships in geographical names to describe the knowledge structure for this field, used Web Ontology Language (OWL) to provide formal descriptions to give them explicit semantics, and proposed a unified semantic framework for description. Secondly, we established the common-sense rules and spatial relations inference rules coded with Semantic Web Rule Language (SWRL) which laid the foundation for geographical names knowledge discovery and automatic reasoning. Finally, we established a geographical name knowledge base combining both the geographical names ontology and rules established above. Through the analysis of examples we showed that based on the geographical names knowledge base the geographical names information can be well shared and reused.

Context-awareness is increasingly becoming an important capability in devices for ubiquitous computing environments. These devices use on-board sensors and history of user interaction to collect data that are used to adapt their behavior to suit with the current environment. There is a need to support real-time software in ubiquitous computing environments, especially in reactive systems, such as distributed and mobile sensors, location-based information service, etc. In these cases, both behavior and interaction among devices depend on constantly changing environmental conditions, in addition to explicit user control. This characteristic requires specific system services to support the development and the runtime operation of real-time context-aware software. This implies that the underlying services must themselves be context-sensitive. The paper analysis current Web-3D visualization technique, based on context-sensitive middleware, and uses B/S internet mode and HTTP transmitting protocol to realize development of Web-3D visualization.

Augmented Reality (AR) is a growing research area in virtual reality and generates a composite view for the user. It is combination of the real scene viewed by the user and a virtual scene generated by the computer that augments the scene with additional information. About 80 percent information in the real world is related with spatial location. The combination of Geographical information system (GIS) and AR technologies would promote the development of outdoor AR systems, and also would explore a new research direction for GIS. The key technologies of outdoor augmented reality GIS, including basic tracking methods, display devices, typical applications and registration processes, are discussed. In indoor augmented reality's closed environments the tracking of position and head orientation as well as the presentation of information is much more unproblematic than the same task in an outdoor environment. The main application task of outdoor augmented reality GIS is the presentation of information to a user while moving through an unknown region. The system helps to detect automatically objects in sight of a person who need its information. It compares the conventional solutions of 3D registration with, while it discusses their algorithm procedure to basic parameters to give out their advantages and disadvantages at different condition. While affine transformation approach uses the idea of computer graphics and vision technology for reference. Its accuracy is mainly based on the precision and speed of scene feature point extracted from natural or artificial feature.

Geographical Names are key components of all georeferenced information systems, including GIS applications in many diverse fields of knowledge and services. This paper we focus on building an ontology for gazetteers, the ontology will better support the gazetteers applications, maintenances, and usability. The ontology contains place types, spatial and temporal concepts and their relations. We firstly establish a prototype of geographical name ontology. Secondly, we analyzed geographical names concepts and their semantics, to describe the knowledge structure for this field. Then we use OWL to provide a formal description for these concepts and relations and propose a unified semantic framework for the description of the geographical names information. Finally, we make an experiment by establishing ontology-based knowledge base. Through the analysis of examples we showed that ontology-based geographical names information can be shared and reused conveniently, and that the information retrieval by assistant of ontology can be easily realized.

The cadastral plays a very important role in managing spatial and non-spatial legal real property information. And the legal aspect is the important component of the cadastral. And the success of a cadastral system is not dependent on its legal or technical sophistication, but whether it protects land rights adequately and permits those rights to be traded (where appropriate) efficiently, simply, quickly, securely and at low cost. However, the ambiguity of legal cadastral domain has been the major barrier to data integration and interoperability. This paper intends to optimize the concept model of legal cadastral domain based on the model established in my previous paper which can be a first step towards facilitate the effective interchange of cadastral information and the administration of land use. And the way expressing these conceptions and relationships between them was an object-oriented approach in ontology principles. The outcome of this paper is also a basic but better expression legal cadastral domain model of china.

This paper will combine ontology and rule based qualitative reason with real time calculation, designing a combined traffic model of national scope which contains highway, railroad, water carriage, scheduled flight etc. That method follows the sense of people to space, establishes ontologies and rules knowledge base, using concepts, instances, relations and rules of traffic field as the basic knowledge for qualitative reason to discover implicit semantic information and eliminate unnecessary ambiguities. The knowledge from the ontologies and rules provides abundant information for query which can lighten the burden of computation, in the mean time, real-time calculation guarantees the accuracy of the data, has raised accuracy and efficiency of the query, which has strengthened the ease of query service and improved web users' experience.

Urban growth modeling, one of the most important aspects of land use and land cover change study, has attracted substantial attention because it helps to comprehend the mechanisms of land use change thus helps relevant policies made. This study applied multinomial logistic regression to m odel urban growth in the Jiayu county of Hubei province, China to discover the relationship between urban growth and the driving forces of which biophysical and social-economic factors are selected as independent variables. This type of regression is similar to binary logistic regression, but it is more general because the dependent variable is not restricted to two categories, as those previous studies did. The multinomial one can simulate the process of multiple land use competition between urban land, bare land, cultivated land and orchard land. Taking the land use type of Urban as reference category, parameters could be estimated with odds ratio. A probability map is generated from the model to predict where urban growth will occur as a result of the computation. Keywords: GIS, modeling, urban growth, multinomial l ogistic regression, land use competition

The traditional transportation information inquiry mainly uses key words based on texts, and the service the inquiry system provided is one fold and only aims at one transporting means. In addition, the inquiry system lacks the comprehensive transportation inquiry combining water, land and air traffic information; also it lacks semantic level inquiry, bringing users lots of inconvenience. In view of the above questions, we proposed establishing a knowledge base of transportation information based on the OWL ontologies and SWRL rules, which can express the rich semantic knowledge of three dimension transporting means (water, land and air) in formalization. Using the ontologies through kinds, properties, instances and classifications ontologies can express structure knowledge, support knowledge automatic sorting and the instance recognition, so as to provide formal semantics for the description of many concepts involved in the transportation domain and relations between these concepts. Using the SWRL rules can solve problem of insufficient expressivity of ontologies in properties association and operation to provide support for spatial relationships reasoning. In order to make use of these knowledge effectively, we have designed a reasoning system based on the ontologies and rules with the help of Protege and its plug-ins. The system can eliminate ambiguity of the concepts and discover hidden information by reasoning, realizing knowledge and semantic level transportation information inquiry.

The main goal of this article is to present a generalized conceptual model for the Chinese cadastre. For the Chinese cadastre, both the geometric and legal components will be considered. According to the cadastral situation of china and existent data structure, this paper modified the core cadastral domain model by an objected-oriented way. After that the refined Land package and geometry package are presented. The other contribution of this article is identification of the core cadastral model by using it to Chinese cadastral domain, although some specific classed are modified.

Spatial cognition is a cognitive process of spatial environment. As an important tool of recording and presenting geographic information, map is the main medium for spatial cognition result. This paper evaluates the existing measurement approaches for map information, and the measurement of metric information proposed by Li and Huang is especially emphasized, for it considers the spatial distribution and relationships of map features. Because the map is a complex cognitive system, human cognition should be considered here. However these measures have neglected the cognitive concepts 'type' and 'level' of map features, which are valuable for human's spatial cognition. As a result, the authors employed the weighted Voronoi diagram to propose a new quantitative measure for metric information. An experimental evaluation is also conducted. Results show that metric information considering cognitive multi-type and multi-level is closer to the spatial environment and human's spatial cognition.

The achievements of computer graphics have supported the developments of augmented reality (AR), a technique of an automatic connection of additional information generated from a computer model to reality, which is offered to enhance or augment the cognition to the real world of a user. Especially due to the developments in hardware in the recent years not only visualization but also interaction with these environments has become possible. Outdoor AR system integrates the presentation of three-dimensional objects out of a database on site in a Geographical information system (GIS). It not only expands a GIS to the third dimension, also reacts to the current position and viewing field of the user. From the perspective of the theory of spatial cognition and visualization, the paper puts forward there search contents and basic structure of spatial data AR visualization by analyzing the research status and related research works, comparing there exists frameworks. Furthermore it sums up the key technologies in detail and proposes the improved approaches. By a case study, it verifies the procedure of AR visualization of geospatial data. Lastly, it discusses the significant applications and development prospects of AR visualization of geospatial data.

Campylobacter species are important enteric pathogens causing disease in humans and animals. There is a lack of a good immunological test that can be used routinely to separate Campylobacter jejuni from other Campylobacter species. We produced monoclonal antibodies (MAbs) directed against the major outer membrane protein (MOMP) of C. jejuni using recombinant MOMP as the antigen. One MAb, designated MAb5C4 and of the immunoglobulin G1 isotype, was found to be potentially specific for C. jejuni . Dot blots demonstrated that MAb5C4 reacted with all 29 isolates of C. jejuni tested but did not react with 2 C. jejuni isolates, 26 other Campylobacter spp. isolates, and 19 non- Campylobacter isolates. Western blotting showed that MAb5C4 bound to a single protein band approximately 43 kDa in size, corresponding to the expected size of C. jejuni MOMP. The detection limit of MAb5C4 in a dot blot assay was determined to be about 5 × 10 3 bacteria. The epitope on the MOMP was mapped to a region six amino acids in length with the sequence 216 GGQFNP 221 , which is 97% conserved among C. jejuni strains but divergent in other Campylobacter spp.; a GenBank search indicated that 95% of C. jejuni isolates will be able to be detected from non- Campylobacter spp. based on the highly specific and conserved region of the GGQFNP polypeptide. The epitope is predicted to be located in a region that is exposed to the periplasm. MAb5C4 is a potentially specific and sensitive MAb that can be used for the specific detection and identification of C. jejuni .

One of the key technologies of Outdoor AR is the real-time 3D registration of objects in the real world. The paper puts forward a new hardware registration method which not only borrows the ideas of identification point registration, but improves it to realize tracking registration in video-based outdoor AR, which uses see-through head mounted display (STHMD) loaded on outdoor AR system for showing the result of registration, and employs one color CCD camera capturing video to obtain the world coordinate of scene border. Furthermore, the paper utilizes 3D electronic compass and GPS attached on user's body to calculate transition matrix from the world coordinate system to the camera coordinate system. Then, the transition matrix from the virtual coordinate system to the image plane can be calculated out and 3D virtual object generated by computer model is added into the STHMD as a whole. Synthetically, video-based registration offers a superior approach to 3D registration of dynamic object. Finally, the paper provides the implementation process and designs a test. By the case study, the new method significantly simplifies the registration system and algorithm, and coordination errors are eliminated. The algorithm requires little computation and can be easily realized in real time without delay. Compared with the several existing registration methods, it is significantly improved.

Paper discusses the function and meaning of AR in the aerodrome construction project. In the initial stages of the aerodrome building, it applies the advanced technology including 3S (RS, GIS and GPS) techniques, augmented reality, virtual reality and digital image processing techniques, and so on. Virtual image or other information that is created by the computer is superimposed with the surveying district which the observer stands is looking at. When the observer is moving in the district, the virtual information is changing correspondingly, just like the virtual information really exists in real environment. The observer can see the scene of aerodrome if he puts on clairvoyant HMD (head mounted display). If we have structural information of the aerodrome in database, AR can supply X-ray of the building just like pipeline, wire and framework in walls.

In the paper, the main method we discuss and improve relates to the snake model, which is used to displace the roads and resolve the conflict. A snake is an energy-minimizing spline guided by internal constraint forces and influenced by external enforcement. In the paper, the theory of snake model is illustrated in detail. Then, according to the demand of cartography, the snake model is improved as follows. First, the relationship between the parameters of snake and shape character of road is built up in order to keep the shape of displaced road better. Second, the propagation extent of external force in snake model is controlled to keep the accuracy of road position. Third, the power attribute of intersection point between roads is set to control the displacement of the intersection point and keep the topological relationship of roads. At last, the general thought of disposing the spatial conflict of road networks are brought forward by using the improved snake model. One experiment research is made in terms of the general thought, which represents that the roads are displaced and the spatial conflicts are solved well.

With the far and wide applications of Location-Based Services (LBS), the call for more semantic and accurate services is emerging. From a semantic viewpoint, the major characteristic of, and challenge for, LBS is the fact that they serve as mediator between a possibly unknown user and possibly a priori unknown services. While some geographic information technology standards provide the basis for syntactic interoperability, they do not yet provide methods for dealing with problems of semantic heterogeneity. In this paper we design ontologies for LBS which are used for the identification and association of semantically corresponding concepts to overcome the semantic problems. In order to better understand the semantic content of the data in LBS, we analyze several elements both data and services involved. Then, we model these data and services in a way that captures their peculiarities and allows their sharing between users and services and exchange among different LBS, when desired. For this, we use the Protege-OWL plug-in for creating hybrid hierarchy of ontologies to enhance the semantic content both the user information and the services have. To argue about the design choices and show their applicability, we present a simple example from a characteristic real world application.

Emergence of highly pathogenic avian influenza H7N1 was due to mutation of low pathogenic avian influenza H7N1 strain, which caused outbreaks in Italy between 1999 and 2000, and resulted in complete mortality of infected poultry. This outbreak places increased importance on the early detection of H7N1 AIV. Here we describe the development of a detection method for H7N1 virus from infected chickens using a specific antigen-capture-ELISA (AC-ELISA). A panel of mAbs was developed against the surface antigen HA of H7N1 AIV strain A/chicken/Singapore/94. The mAbs were screened by immunofluorescence assays, ELISA and immunoblotting. Selected mAbs 5E5 and 8F10 were of isotypes IgM and IgG and were conformation- or linear epitope-specific, respectively. These mAbs were used as capture antibodies for AC-ELISA development. The detection limit was as little as 10(2)-10(3) TCID(50) units of virus derived from tissue culture supernatants. Virus from the tracheal swab samples of experimentally infected chickens was detected from days 3 to 7 post-infection using the AC-ELISA, with results being confirmed by RT-PCR. AIV subtypes H4N1, H5N3 H9N2 and H10N5 did not react in the AC-ELISA but were RT-PCR positive, indicating that this AC-ELISA is specific for H7N1 strains.

The unprecedented spread of highly pathogenic avian influenza virus subtype H5N1 in Asia and Europe is threatening animals and public health systems. Effective diagnosis and control management are needed to control the disease. To this end, we developed a panel of monoclonal antibodies (MAbs) against the H5N1 avian influenza virus (AIV) and implemented an antigen-capture enzyme-linked immunosorbent assay (AC-ELISA) to detect the H5 viral antigen. Mice immunized with denatured hemagglutinin (HA) from A/goose/Guangdong/97 (H5N1) expressed in bacteria or immunized with concentrated H5N2 virus yielded a panel of hybridomas secreting MAbs specific for influenza virus HA. The reactivity of each MAb with several subtypes of influenza virus revealed that hybridomas 3D4 and 8B6 specifically recognized H5 HA. Therefore, purified antibodies from hybridomas 3D4 and 8B6, which secrete immunoglobulin G (IgG) and IgM, respectively, were used as the capture antibodies and pooled hyperimmune guinea pig serum IgG served as the detector antibody. The specificity of the optimized AC-ELISA was evaluated by using AIV subtypes H5 H3, H4, H7, H9, and H10. Specimens containing AIV subtype H5 subtype yielded a specific and strong signal above the background, whereas specimens containing all other subtypes yielded background signals. The detection limits of the AC-ELISA were 62.5 ng of bacterium-expressed H5N1 HA1 protein and 124, 62, and 31 50% tissue culture infective doses of influenza virus subtypes H5N1/PR8, H5N2, and H5N3, respectively. Reconstituted clinical samples consisting of H5 AIVs mixed with pharyngeal-tracheal mucus from healthy chickens also yielded positive signals in the AC-ELISA, and the results were confirmed by reverse transcription-PCR. The tracheal swab samples from H9N2-infected chickens did not give positive signals. Taken together, the newly developed MAb-based AC-ELISA offers an attractive alternative to other diagnostic approaches for the specific detection of H5 AIV.