bluuebunny/crossref_metadata_2025 huggingface dataset:
A GRASS ROOT ORIENTED URBAN PLANNING APPROACH TO UPLIFT THE SOCIO-ECONOMIC FACET OF A CITY USING 2D AND 3D GIS: CASE STUDY ON MEHMEDABAD CITY, INDIA
Authors: Gupta S. , Shah C. , Shah D. , Deore P. , Majumdar S. , Maiti A. , Shukla S. , Mehta J. , Shah M.
Published: September 2018

Abstract. Being a developing nation, India is facing an array of problems owing to the huge population shift from rural to urban areas, thereby leading to an increasing urbanisation trend since the 1980s. As a result, the process of urban planning in India is extremely tedious and requires lots of manual intervention. Although the recent developments in GIS have immensely helped urban planners, extensive ground survey is still a big challenge in the context of Indian cities. In this work, the study area has been chosen as Mehmedabad which is a Tier-3 city in the state of Gujarat. A rigorous grass root oriented ground survey involving each and every household of Mehmedabad has been utilised for both requirement elicitation and site-suitability purposes. With the aid of both 2D and 3D GIS, a city development plan has been proposed for the year 2031. The planning process incorporated population projection, water supply demand, sewage discharge and road network analysis for building robust development control regulations which were essential to improve the socio-economic aspects of Mehmedabad. Additionally, cost estimations for each of the proposed sectors have been carried out so as to maintain an appropriate budget for uplifting the existing infrastructures of the city.
DATA INTEGRATION OF DIFFERENT DOMAINS IN GEO-INFORMATION MANAGEMENT: A RAILWAY INFRASTRUCTURE CASE STUDY
Authors: Corongiu M. , Tucci G. , Santoro E. , Kourounioti O.
Published: September 2018

Abstract. A 3D city model is a representation of an urban environment with a three-dimensional geometry of common urban objects and structures, with buildings as the most prominent feature. In the last decades, 3D city models appear to have been predominantly used for visualisation; however, nowadays they are being increasingly employed in a number of domains and for a broad range of tasks beyond visualisation. The MUIF (Modello Unico dell’Infrastruttura Fisica) project, here illustrated as a case study, refers to the implementation of a single spatial model of the infrastructure of Italy’s railway system (RFI). The authors describe preliminary results and the critical aspects of the study they are carrying out, explaining the processes and methodology to model all datasets into a single integrated spatial model as the reference base for future continuously updates. The case study refers to data collected by different sources and at various resolutions. An integrated spatial Database has been used for modelling topographic 3D objects, traditionally implemented in a 3D city model, as well as other specific 3D objects, related to the railway infrastructure that, usually, aren’t modelled in a 3D city model, following the same methodology as the first ones.
MODELING CITIES FOR 3D_GIS PURPOSES
Authors: de Jesus E. G. V. , de Amorim A. L. , Groetelaars N. J. , Fernandes V. O.
Published: September 2018

Abstract. 3D Geographic Information Systems (3D GIS) are systems that are capable of making spatial analyses that consider the tridimentional and semantic representation of objects. These systems make these analyses through its planialtimetric coordinates. The City Geography Markup Language (CityGML) is used for the representation of cities and urban applications. The CityGML is an international standardized data model based on XML used to store and exchange information through 3D representation of cities. This standardized data model has 5 Levels of Detail – LOD, varying from LOD 0 (least detailed) to 4 (most detailed). The main challenges for the implementation of these systems refer to the techniques used for obtaining data and the data format, and also all the software used in the geometric modeling of the urban model. The data related to the buildings were manipulated with the QGIS software in this study. This made it possible to obtain the height of the buildings by the elevation difference between the Digital Surface Model and the Digital Terrain Model. This paper presents and discusses the first results of the geometric modeling made in the campus of the Federal University of Bahia (UFBA), by using airborne laser scanning data, integrating QGIS, Rhinoceros and CityGML.
CHEAP AND IMMERSIVE VIRTUAL REALITY: APPLICATION IN CARTOGRAPHY
Authors: Herman L. , Kvarda O. , Stachoň Z.
Published: September 2018

Abstract. In this paper, we analysed and tested the possibilities for the use of low-cost VR (Virtual Reality) headsets, with a focus on cartographic visualization. Low-cost devices were compared and classified into three categories (low-end, mid-range and high-end). We also created a pilot virtual environment, called “Carthoreality”, and conducted simple pilot user testing using this virtual environment and the three low-end headsets. Our pilot test shows a few drawbacks to these devices, including weight of the headset and penetrating light. Some problems in terms of user aspects were also identified, such as nausea while wearing headsets or disorientation after removing them, which occurred for all users.
IMPROVEMENTS IN AUTOMATED DERIVATION OF OWL ONTOLOGIES FROM GEOSPATIAL UML MODELS
Authors: Jetlund K.
Published: September 2018

Abstract. Standards from ISO/TC 211 are the foundation for modelling a universe of discourse in a geospatial context. UML models based on the standards, and in particular based on the UML profile defined in ISO 19103, have been developed and implemented in applications and databases for a wide range of geospatial information, from international to national and agency level. Amounts of information has been collected, maintained and made available based on the models, but mainly through specific services and exchange formats for geospatial information. To make the models and the information available in The Semantic Web, the geospatial UML models need to be transformed from UML to OWL ontologies, and the information needs to be transformed from UML-based structures to RDF triples. This paper investigates methods for transforming UML models of geospatial information to OWL ontologies, identifies challenges, suggest improvements and identifies needs for further research. Several methods for automated transformation from geospatial UML models to OWL handle basic concepts, but some concepts and context-closed restrictions from UML cannot be directly transformed to the open world of The Semantic Web. None of the analysed methods handles all of these issues, and suggested improvements include combining and improving transformation rules, as well as modifications in the UML models. To what degree and how these issues need to be handled will depend on whether the scope of the ontologies is to simply present geospatial information on The Semantic Web, or if they shall be used in a bidirectional information exchange.
AN EVALUATION FRAMEWORK FOR BENCHMARKING INDOOR MODELLING METHODS
Authors: Khoshelham K. , Tran H. , Díaz-Vilariño L. , Peter M. , Kang Z. , Acharya D.
Published: September 2018

Abstract. Despite recent progress in the development of methods for automated reconstruction of indoor models, a comparative performance evaluation of these methods is not available due to the lack of publicly available benchmark datasets and a common evaluation framework. The ISPRS Benchmark on Indoor Modelling is an effort to enable comparison and benchmarking of indoor modelling methods by providing a benchmark dataset and a comprehensive evaluation framework. In this paper, we propose a framework for the evaluation of indoor modelling methods, and discuss various quality aspects of the reconstruction methods as well as the reconstructed models. We discuss the challenges in quantitative quality evaluation of indoor models through comparison with a reference model, and propose suitable measures and methods for comparing an automatically reconstructed indoor model with a reference.
ENRICHMENT AND POPULATION OF A GEOSPATIAL ONTOLOGY FOR SEMANTIC INFORMATION EXTRACTION
Authors: Kokla M. , Papadias V. , Tomai E.
Published: September 2018

Abstract. The massive amount of user-generated content available today presents a new challenge for the geospatial domain and a great opportunity to delve into linguistic, semantic, and cognitive aspects of geographic information. Ontology-based information extraction is a new, prominent field in which a domain ontology guides the extraction process and the identification of pre-defined concepts, properties, and instances from natural language texts. The paper describes an approach for enriching and populating a geospatial ontology using both a top-down and a bottom-up approach in order to enable semantic information extraction. The top-down approach is applied in order to incorporate knowledge from existing ontologies. The bottom-up approach is applied in order to enrich and populate the geospatial ontology with semantic information (concepts, relations, and instances) extracted from domain-specific web content.
EFFICIENT AND PRACTICAL HANDLING OF SPATIO-TEMPORAL DATA BASED ON TIME-DEPENDENT NET COMPONENTS
Authors: Kuper P. V.
Published: September 2018

Abstract. The monitoring of spatio-temporal phenomena such as the movement of glaciers or volcanos produces huge amounts of data. Especially the handling of time as a fourth dimension usually requires terabytes of storage space. Therefore, an appropriate data management model for an efficient handling of such data is required and a key concept for any 3D/4D GIS. Within this paper, a comprehensive data management model is presented that optimizes the handling and storage of spatio-temporal data. The concept of time-dependent Net Components is introduced to handle regions that are monitored and modelled in individual time steps. Combined with the concept of Point Tubes the resulting data management model is used to manage spatio-temporal data based on d-simplicial complexes with dimensions d ∈ {0,1,2,3}. It is shown that the model is capable of handling various kinds of spatio-temporal applications. These include the proper handling of variable temporal discretizations of partial regions within a 4D model. The storage requirements are reduced and spatial as well as spatio-temporal operations are accelerated significantly. Critical issues such as the preservation of the net topology between time steps and the handling of boundary regions of adjacent net components can be solved.
LAND USE CLASSIFICATION FROM COMBINED USE OF REMOTE SENSING AND SOCIAL SENSING DATA
Authors: Anugraha A. S. , Chu H.-J.
Published: September 2018

Abstract. Large amounts of data can be sensed and analyzed to discover patterns of human behavior in cities for the benefit of urban authorities and citizens, especially in the areas of traffic forecasting, urban planning, and social science. In New York, USA, social sensing, remote sensing, and urban land use information support the discovery of patterns of human behavior. This research uses two types of openly accessible data, namely, social sensing data and remote sensing data. Bike and taxi data are examples of social sensing data, whereas sentinel remote sensed imagery is an example of remote sensing data. This research aims to sense and analyze the patterns of human behavior and to classify land use from the combination of remote sensing data and social sensing data. A decision tree is used for land use classification. Bike and taxi density maps are generated to show the locations of people around the city during the two peak times. On the basis of a geographic information system, the maps also reflect the residential and office areas in the city. The overall accuracy of land use classification after the consideration of social sensing data is 85.3%. The accuracy assessment shows that the combination of remote sensing data and social sensing data facilitates accurate urban land use classification.
ON A KNOWLEDGE-BASED APPROACH TO THE CLASSIFICATION OF MOBILE LASER SCANNING POINT CLOUDS
Authors: Lemmens M.
Published: September 2018

Abstract. A knowledge-based system exploits the knowledge, which a human expert uses for completing a complex task, through a database containing decision rules, and an inference engine. Already in the early nineties knowledge-based systems have been proposed for automated image classification. Lack of success faded out initial interest and enthusiasm, the same fate neural networks struck at that time. Today the latter enjoy a steady revival. This paper aims at demonstrating that a knowledge-based approach to automated classification of mobile laser scanning point clouds has promising prospects. An initial experiment exploiting only two features, height and reflectance value, resulted in an overall accuracy of 79 % for the Paris-rue-Madame point cloud bench mark data set.
THE PATH FROM BIM TO A 3D INDOOR FRAMEWORK – A REQUIREMENT ANALYSIS
Authors: Liu L. , Li B. , Zlatanova S. , Liu H.
Published: September 2018

Abstract. Building Information Modelling is a new technology and tool for researchers in Architecture/Construction/Engineering (ACE) fields, and it is designed to organise the collaboration between different parties and manage all types of information regarding buildings. A standardized data model of BIM named Industry Foundation Classes (IFC) has been proposed to describe building & construction related information and facilitate the interoperability of building data. As IFC contains plenty of building information, further spatial analysis can be applied in geographical information system (GIS) with these information. Current research has mainly discussed the requirements about data translation from BIM to GIS. However, more specific requirements on the functionalities of a generic 3D indoor framework need to be considered with IFC data. Although this research is in the initial stage, we investigate the use of BIM IFC for the 3D indoor framework, especially on the data translation from IFC to the framework, data management in the framework and IFC data for 3D spatial analysis. Requirements are analysed in four aspects: 1) automation of indoor vector map generation; 2) data management for the framework; 3) environmental analysis of the framework; and 4) safety analysis of the framework. According to these requirements, new modules need to be developed. In the future, based on IFC data we will conduct tests of data transformation, design a data model for the 3D indoor framework and develop a prototype to demonstrate the planned spatial analysis functionalities.
ON VOLUME DATA REDUCTION FOR LIDAR DATASETS
Authors: Becek K. , Boguslawski P.
Published: September 2018

Abstract. This paper discusses a current issue for several experimental science disciplines, which is the Big Data Problem (BDP). This research study focused on light intensity and ranging (LiDAR) datasets, which are collected for modelling spatial features found on the surface of the earth. Currently, LiDAR datasets are known to be extremely redundant for many applications. Using a formula that allows for calculating the variance of the target-induced error (so-called T-error) caused by the discretisation and quantisation of a 3D surface as a criterion for the quantitative assessment of the fidelity of a model, the use of a Q-tree-based split of the surface is proposed for cells of various sizes depending on the fidelity requirements. A LiDAR dataset representing a 1 km x 1 km terrain surface tile using approximately 12 x 106 points was used during the experiments. The initial LiDAR dataset was used to produce a digital terrain model (DTM) at a 0.5 m x 0.5 m resolution, which was used as a reference model. Subsequently, the initial LiDAR dataset was decimated at various rates, and the resulting DTMs were compared with the reference model. The Q-tree based data structure was utilised to illustrate that the Q-tree approach allows for the production of DTMs at a ‘controlled’ fidelity with a considerable reduction in data volume.
OVERVIEW OF STANDARDS TOWARDS ROAD ASSET INFORMATION EXCHANGE
Authors: Niestroj M. G. , McMeekin D. A. , Helmholz P.
Published: September 2018

Abstract. Governmental agencies, companies and other organisations benefit from sharing data effectively using a harmonised data specification. In asset management, data standards exist from the construction phase through to the operation of the building. A gap exists within transport agencies in Australia and New Zealand for the road asset information exchange. The expectation is that by transferring road asset data from one system to another using a commonly accepted data standard, annual cost savings are predicted to be achieved within these countries of between $65 and $130 million. Current developments are investigating standardising road asset data. This research provides a critical review of data standards for vertical and horizontal infrastructure, namely buildings and roads, and reviews current approaches that deal with the challenge of information exchange for the road network.
TOWARDS “TOURISM FOR ALL” – IMPROVING MAPS FOR PERSONS WITH REDUCED MOBILITY
Authors: Nowak Da Costa J. , Bielski C.
Published: September 2018

Abstract. Standards and legislation are already in place to provide the necessary building requirements to improve mobility access for everyone. However, these requirements are not always adhered to for a variety of reasons even in cases of new constructions. Moreover, already existing structures and/or historical buildings built prior to such mobility requirements were put into force must be retrofitted. Consequently, a significant number of potential interesting locations are not accessible to persons with reduced mobility. For this reason, the focus of our research is on the expected content and availability of detailed mobility related information and how to improve the communication of accessibility information to users in order to evaluate the accessibility potential of public places and spaces to help persons with reduced mobility plan their outings by taking advantage of smart data and people in cities.
TOWARDS AN ONTOLOGY FOR THE STRUCTURING OF REMOTE SENSING OPERATIONS SHARED BY DIFFERENT PROCESSING CHAINS
Authors: Nys G.-A. , Kasprzyk J.-P. , Hallot P. , Billen R.
Published: September 2018

Abstract. This paper proposes an ontology to structure and describe processing chains in the remote sensing field. These chains are made up of elementary elements (operations) organized in collections. The collection notion, including information about order and repeatability of the elements, is widely defined by using the relations between their constituting items and relations to the whole data store. Applications of the ontology are illustrated with web services provided by a platform for users and providers of processing chains. A graphical interface facilitates data integration in a RDF triple store. Thanks to the management of metadata (ISO19115-3), relevant information can be requested by intelligent search engines. Graph analysis, errors management and consistency rules are computed in order to gather coherent information from the different sources. Results of these analyses are then used by machine learning algorithms for new knowledge discovery.
INDOOR SPACE ROUTING GRAPHS: VISIBILITY, ENCODING, ENCRYPTION AND ATTENUATION
Authors: Sithole G.
Published: September 2018

Abstract. The conventional approach to path planning for indoor navigation is to infer routes from a subdivided floor map of the indoor space. The floor map describes the spatial geometry of the space. Contained in this floor map are logical units called subspaces. For the purpose of path planning the possible routes between the subspaces have to be modelled. Typical these models employing a graph structures, or skeletons, in which the interconnected subspaces (e.g., rooms, corridors, etc.) are represented as linked nodes, i.e. a graph.This paper presents a novel method for creating generalised graphs of indoor spaces that doesn’t require the subdivision of indoor space. The method creates the generalised graph by gradually simplifying/in-setting the floor map until a graph is obtained, a process described here as chained deflation. The resulting generalised graph allows for more flexible and natural paths to be determined within the indoor environment. Importantly the method allows the indoor space to be encoded and encrypted and supplied to users in a way that emulates the use of physical keys in the real world. Another important novelty of the method is that the space described by the graph is adaptable. The space described by the graph can be deflated or inflated according to the needs of the path planning. Finally, the proposed method can be readily generalised to the third dimension.The concept and logic of the method are explained. A full implementation of the method will be discussed in a future paper.
TOWARDS GENERATING SEMANTICALLY-RICH INDOORGML DATA FROM ARCHITECTURAL PLANS
Authors: Srivastava S. , Maheshwari N. , Rajan K. S.
Published: September 2018

Abstract. Recent years has seen an increase in the work done on indoor data mapping and modeling. The standard data models provide different ways to store and access the indoor data but the way it is done is specific to the domain in which they are used. Although models like IFC, CityGML and IndoorGML provides rich functionality, the widespread availability of indoor data is not in these formats. This paper presents a step by step methodology to convert indoor building data of existing buildings, represented in architectural drawings into a topologically consistent and semantically rich indoor spatial model. The workflow presented consists of extracting relevant geometric entities from CAD drawings, assessing their topological relationships, using it to derive semantic information of spaces and making the data available in the form of IndoorGML. Since the current IndoorGML features lack the capability to store relevant semantic information, a semantic extension to IndoorGML is also proposed. The extraction of primitive spatial elements in rectilinear buildings like walls and doors are considered for the work presented in this paper. Development of a toolkit which implements this methodology in a seamless manner is work in progress and would incorporate extraction of complex spatial elements like staircases, ramps, curvilinear walls and windows, which is out of scope of the current work presented in this paper.
PROTOTYPE OF NATIONAL DIGITAL ELEVATION MODEL IN INDONESIA
Authors: Susetyo D. B. , Lumban-Gaol Y. A. , Sofian I.
Published: September 2018

Abstract. Although medium scale mapping has been done for the entire territory of Indonesia, there has never been a DEM unification to produce seamless national DEM. The main problem to generate national DEM is multi-data-sources. Each of them has their own specification, so unification of data becomes not easy to do. This research aims to generate global DEM database in Indonesia. Because its coverage covers only one country, it is called National DEM. This study will be focused on the northern part of Sumatra island, precisely in the boundaries between Aceh and North Sumatra province. The principle method in this study was to rebuild DEM data by considering the height difference between ground elevation from masspoints and surface elevation from DSM. By setting up a certain threshold value, the filtering process was then performed. The output was generated by gridding process. Validation in this research was done by two methods: visual inspection dan statistical analysis. From visual inspection, the National DEM data becomes smoother than the input data, the reality of the data is maintained, and still shows the landscape of the DSM input. From statistical analysis, compared with 142 GCPs, it is obtained that Root Mean Square Error is 2.237 m, and vertical accuracy based on Indonesian Mapping Accuracy Standard is 3.679 m. The result is good for medium scale base map and, based on the standards in Indonesia, the data can be used for 1 : 25,000 scale mapping.
INTERACTION AND LOCOMOTION TECHNIQUES FOR THE EXPLORATION OF MASSIVE 3D POINT CLOUDS IN VR ENVIRONMENTS
Authors: Thiel F. , Discher S. , Richter R. , Döllner J.
Published: September 2018

Abstract. Emerging virtual reality (VR) technology allows immersively exploring digital 3D content on standard consumer hardware. Using in-situ or remote sensing technology, such content can be automatically derived from real-world sites. External memory algorithms allow for the non-immersive exploration of the resulting 3D point clouds on a diverse set of devices with vastly different rendering capabilities. Applications for VR environments raise additional challenges for those algorithms as they are highly sensitive towards visual artifacts that are typical for point cloud depictions (i.e., overdraw and underdraw), while simultaneously requiring higher frame rates (i.e., around 90 fps instead of 30–60 fps). We present a rendering system for the immersive exploration and inspection of massive 3D point clouds on state-of-the-art VR devices. Based on a multi-pass rendering pipeline, we combine point-based and image-based rendering techniques to simultaneously improve the rendering performance and the visual quality. A set of interaction and locomotion techniques allows users to inspect a 3D point cloud in detail, for example by measuring distances and areas or by scaling and rotating visualized data sets. All rendering, interaction and locomotion techniques can be selected and configured dynamically, allowing to adapt the rendering system to different use cases. Tests on data sets with up to 2.6 billion points show the feasibility and scalability of our approach.
THE VIRTUAL TOURIST: COGNITIVE STRATEGIES AND DIFFERENCES IN NAVIGATION AND MAP USE WHILE EXPLORING AN MAGINARY CITY
Authors: Török Z. G. , Török Á. , Tölgyesi B. , Kiss V.
Published: September 2018

Abstract. This paper, submitted for the Workshop/Theme session on Virtual & Augmented Reality: Technology, Design & Human Factors, organized by ISPRS Working Group IV/9, explores the research field opened by experiments in virtual environments from multidisciplinary approach. At the recently established Cognitive Cartography Lab, Eötvös University, Budapest we designed an experiment to study and better understand the role of visuospatial displays in spatial cognition, in particular the cognitive conditions of navigation in an imaginary city with a map. Below we present some preliminary results based on our experiments recording the spatial behaviour of 62 subjects, including their verbal reactions and eye tracking data collected during the sessions. We measured the wayfinding behaviour of participants after an active or passive learning phase. The analysis of the accumulated data suggested no significant differences in the efficiency of spatial problem solving between the groups of subjects. For further investigation we found that – although salient visual cues grasped the attention of the participants – they could not benefit from this knowledge of landmarks in the actual navigational tasks. Despite the lack of group differences, the low number of getting lost in such complex, large-scale virtual environment suggests that participants could solve the navigational tasks rather efficiently, most probably due to using different cognitive strategies. The project was part of an educational development plan and was supported by the Student Talent Grant of Eötvös University. It was designed by a multidisciplinary research group including university students and offered them the opportunity to collaborate, cross disciplinary borders and develop their profile when contributing to front-line scientific research.
INTEGRATING BIM AND GIS DATA TO SUPPORT THE MANAGEMENT OF LARGE BUILDING STOCKS
Authors: Vacca G. , Quaquero E. , Pili D. , Brandolini M.
Published: September 2018

Abstract. The survey phase is an essential prerequisite for effective management and improvement of existing buildings. The low accessibility of information regarding the design and construction phases and the current state of the buildings, are the main causes of inefficient actions on existing buildings. The lack of “As Built” documentation (building components, installations, etc.) and the complex task of detecting their current status in terms of use (intended use and space dimensions, environmental context, etc.) and maintenance (conservation status of building components, age of the technological installations, previous maintenance work, compliance with current regulations, etc.) causes deep difficulties in planning, scheduling and controlling appropriate interventions. Starting from these assumptions, this paper shows the findings of a research, aimed at testing the integrated use of Building Information Modeling (BIM) and 3D Geographic Information Systems (3D GIS) in order to structure knowledge. The research concerns a case study and it has actually led to the development of a BIM- 3D GIS workflow which formalizes knowledge and information involved of a significant building, according to its management: the INA houses by Enrico Mandolesi, a residential complex for about 2500 inhabitants built around 1960 in the eastern suburbs of Cagliari (Italy).
URBAN MICROCLIMATE IMPROVEMENT USING ENVI-MET CLIMATE MODEL
Authors: Chatzinikolaou E. , Chalkias C. , Dimopoulou E.
Published: September 2018

Abstract. The aim of this paper is the modelling of urban microclimate, based on the limits imposed by the complexity of the three-dimensional space of cities. To this purpose, different Bioclimatic Scenarios were investigated through the microclimatic simulations using the micro-scale numerical model, ENVI-met 4v, applied in a case study of a Block in a highly residential neighbourhood of Athens. The study compares the bioclimatic scenarios of the roof top and road side vegetation plan in the current conditions, in order to evaluate how the existence of vegetation can affect the local air temperature and the thermal comfort condition of urban environment. This study also highlights the need to manage those microclimate data, through a geodatabase and provides a GIS approach of data organization and visualization. Creating building facades of the distributed temperature has showed that urban morphology parameters have an obvious impact on temperature distribution in the 3D space. On the other hand, the proposed roadside vegetation scenario has proved to be the most suitable way to improve the thermal comfort conditions of urban environment, as it can eliminate the Urban Heat Island (UHI) effects.
QUANTITATIVE ASSESSMENT OF SOCIAL VULNERABILITY FOR LANDSLIDE DISASTER RISK REDUCTION USING GIS APPROACH (CASE STUDY: CILACAP REGENCY, PROVINCE OF CENTRAL JAVA, INDONESIA)
Authors: Wijaya A. P. , Hong J.-H.
Published: September 2018

Abstract. Social vulnerability is an important aspect in determining the level of disaster risk in a region. Social vulnerability index (SoVI) is influenced by several supporting factors, such as age, gender, health, education, etc. When different sets of parameters are considered, the SoVI analyzed results are likely to be also different from one to another. In this paper, we will discuss the quantitative assessments of SoVI based on two different models. The first model, proposed by Frigerio et al. (2016), is used to analyze the spatial diversity of social vulnerability due to seismic hazards in Italy. The second model is based on the regulations of the head of the National Disaster Management Agency (BNPB) No. 2 of 2012. GIS is used to present and compare the results of the two selected models. In additive impact factor on the SoVI is also done. The result is that there are regions that belong to the same class on both models such as Pemalang, there are regions that enter in different classes on both models such as Cilacap. The result also shows the model of Frigerio et al. (2016) is more representative than the BNPB model (2012) by additionally considering the education and unemployment factors in determining the SoVI, while the BNPB model (2012) only includes internal factors such as age, gender. By considering education and unemployment factors, we get more detailed conditions about society from social vulnerability.
COASTAL MAPPING OF JINU-DO WITH UAV FOR BUSAN SMART CITY, KOREA
Authors: Yoo C. I. , Oh Y. S. , Choi Y. J.
Published: September 2018

Abstract. For illustrating estuarine and coastal morphology, UAV has proved its effectiveness in providing accurate and diverse information, but unfortunately, no such application have been undertaken for Nakdong River Estuary for ecosystem-based coastal mapping. In this study an attempt has been made to coastal mapping of Jinu-do in Nakdong River Estuary, and to identify beach volume change and vegetation area migration caused by wave and current from 2017 to 2018 with UAV. Unmanned aerial vehicle used for mapping was M600 hexa-copter drone (DJI, china). To create UAV point clouds a standard digital camera can provide imagery with Sony A7 mirror-less camera. Total 34 Ground Control Points (GCPs) accurately surveyed with a RTK-VRS, network use real-time kinematic solutions to provide high-accuracy. Stereo-matching using Agisoft PhotoScan obtained DEM. Using GCPS the vertical accuracy of the DSMs were found to be 5 cm or better. Using the PhotoScan, the area of Jinu-do orthophotos were calculated and the area of vegetation calculated using QGIS. As a result, the vegetation area was increased about 5 % more than the topography. This study of coastal mapping at Jinu-do demonstrate that the integration of UAV techniques and photogrammetric software and analysis tools can provide new concepts into the estuarine.
DESIGN AND IMPLEMENTATION OF REAL-TIME LOG ANALYSIS SYSTEM OF MAP WORLD PLATFORM
Authors: Zhang H. , Huang W. , Yang J.
Published: September 2018

Abstract. In the big data era, real-time log data analysis is becoming the important demands for Internet enterprises, behind these data hiding big value. Map Word, the National Platform for Common GeoSpatial Information Services in China, is a one-stop website providing geospatial information services to personal users, enterprises, professional agencies and governments. After 7 years’ development of the platform, the traffic increased significantly, reaching 200 million service requests per day. But due to the lack of effective analysis and processing technology, the log data did not play its value, which lead to disconnection between the top-level design of national common geospatial information services and the actual demands of the users in a way. Now, the geospatial information service in China is trying to shift from the data production driven to the demand driven actively, and how to understand the demands of users became one imperious issue for research. In addition, the access behaviour of group users to common geospatial information services has a social nature and there is a certain group access behaviour pattern. This mode has high intensity of access aggregation and spontaneity, and determines the demand of common geospatial information services for cloud computing resources. Parts of the above demands can be analysed from the log data. Therefore, how to develop a log analysis system for unified real-time collection, real-time analysis, centralized storage, and graphical display is the key to support the demands. Flume, Kafka, Storm, Redis and HBase have been integrated to design and implement a distributed real-time log analysis system supporting online and offline log analysis. The system is composed of log collection module, asynchronous communication module, real time analysis and calculation module, data cashing and storage module, and visualization module. The system was release and integrated with Map World in June 2017 successfully, and the implementation of the system indicates that it can efficiently solve the problems of real-time log data collection, real-time analysis, real-time storage, real-time query, massive data storage, offline analysis, etc. It played an important role in map data update, policy making, product decisions, online server load prediction, resource allocation optimization, Internet security improvement and operation funs evaluation.
Nonlinear effects in 4D-Var
Authors: Bonavita Massimo , Lean Peter , Holm Elias
Published: September 2018

Abstract. The ability of a data assimilation system to deal effectively
with nonlinearities arising from the prognostic model or the relationship
between the control variables and the available observations has received a
lot of attention in theoretical studies based on very simplified test models.
Less work has been done to quantify the importance of nonlinearities in
operational, state-of-the-art global data assimilation systems. In this paper
we analyse the nonlinear effects present in ECMWF 4D-Var and evaluate the
ability of the incremental formulation to solve the nonlinear assimilation
problem in a realistic NWP environment. We find that nonlinearities have
increased over the years due to a combination of increased model resolution
and the ever-growing importance of observations that are nonlinearly related
to the state. Incremental 4D-Var is well suited for dealing with these
nonlinear effects, but at the cost of increasing the number of outer loop
relinearisations. We then discuss strategies for accommodating the increasing
number of sequential outer loops in the tight schedules of operational global
NWP.
An integrated microsimulation approach to land-use and mobility modeling
Authors: Zhu Yi , Diao Mi , Ferreira Joseph , Zegras Christopher
Published: September 2018

This paper presents an overview of the design and status of a new type of land-use simulation module integrated into SimMobility, an agent-based microsimulation platform. The module, SimMobility Long-Term (LT), is designed to simulate how the interrelations between the transportation and land-use systems manifest themselves in the housing and commercial real estate markets, household and firm location choices, school and workplace choices, and vehicle ownership choices. At the heart of the LT simulator is a housing market module simulating daily dynamics in the residential housing market that (a) “awakens” households that begin searching for new housing; (b) accounts for eligibility, affordability, and screening constraints; (c) constructs plausible choice sets; (d) simulates daily housing market bidding; and (e) represents developer behavior regarding when, where, what type, and how much built space to construct, taking into account market cycle and uncertainty. The LT simulator and SimMobility’s activity-based, mid-term (MT) simulator are integrated in that the agents in the LT module (e.g., individuals in households) are the same agents simulated in the MT module (e.g., activity participation and trip-making), and agents’ simulated behaviors in the MT module provide measures of (utility-based) accessibility that figure into relevant decisions in the LT simulator.

This paper describes the SimMobility model and the LT framework, presents estimation results for two component models of the housing supply side, and demonstrates the use of the simulator by comparing housing market outcomes with and without the introduction of one year’s worth of supply of new public housing. Overall, the LT simulator represents an effort to advance urban system modelling by explicitly simulating the dynamic interactions of disaggregated agents in real estate markets and encapsulating the information of agents’ daily activity participation in their long-term mobility-relevant choices.
The Impact of Attending and Participating in Translation Conferences on Translation Education: A Quantitative Study
Authors: Odeh Fayyad Amin
Published: September 2018

This piece of research was specifically carried out in the field of translation pedagogy. It aims to measure the impact of attending and participating in translation conferences on translation education as perceived by a random sample of thirty-three translation instructors working at several universities in different countries. To this end, quantitative research method was employed in the study to yield answers to a couple of research questions. On this, the instructors were reached online to participate in responding to a researcher-made questionnaire of 18 - closed items. An SPSS analysis (version 24) was used to interpret the data elicited from the aforementioned research instrument. Having the data processed, the findings revealed that attending and participating in translation conferences is to be considered a major source for university translation programs to develop the implementation of translation didactics and pedagogies. Moreover, positive attitudes were developed in the study towards the practicality of integrating what could be seen innovative of translation conferences proceedings into translation education at the tertiary level. In the light of the study's findings, the researcher presents a number of pedagogical implications that would be taken into consideration to overhaul the existing university translation programs. Finally, a glance at some practical ideas is made for future research to explore new horizons in translation education in various teaching contexts.
The Reality of Self-Destruction Levels of Students at Secondary Schools in Vietnam
Authors: Huynh Son Van
Published: September 2018

The result of the survey on 280 secondary school students based on screenings of 1000 students in several provinces in Vietnam illustrates the fact that 0.4 percent of these students commit self-destruction at very serious level; 0.4 percent at serious level, which occupies 1 percent of the participants showing signs of self-destruction. The result also represents that one fifth of these students ruins themselves at average level and more than half of them at slight level. Moreover, the study determines the differences of self-destruction levels among students in different grades and at various academic capacity in Vietnam.
Aa Amyloidosis in a Patient with Essential Thrombocythemia and Sclerosing Angiomatoid Nodular Transformation of the Spleen
Authors: Zakharova Elena V. , Shutov Evgeny V. , Vorobyeva Olga A. , Nikitin Eugene A.
Published: September 2018

Introduction

Sclerosing angiomatoid nodular transformation (SANT) of the spleen is a rare condition with unknown pathogenesis, which is sometimes associated with hematological disorders. We present the case of renal and splenic AA amyloidosis associated with SANT and essential thrombocythemia – a previously unreported combination of pathologies.

Case description

A 42-year-old Caucasian woman presented with a 6-year history of progressive thrombocytosis, low-grade fever, and elevated C-reactive protein (CRP). An abdominal ultrasound discovered a splenic mass, and a bone marrow biopsy revealed megakaryocytosis with atypical features. Under interferon-α treatment, her fever resolved and her platelet count decreased, but the CRP remained elevated. Within 2.5 years she developed nephrotic syndrome and kidney failure. A kidney biopsy revealed amyloidosis. She was started on hemodialysis and underwent a splenectomy. Splenic pathology revealed SANT and AA amyloidosis of the spleen. Further review of her biopsy specimens confirmed renal AA amyloidosis and myeloproliferative disorder. Polymerase chain reaction studies showed a JAK2 V617F mutation in 1% of nucleated cells. Anti-Epstein-Barr virus (EBV) immunoglobulin G (IgG)-Epstein-Barr nuclear antigen (EBNA) and IgG-viral capsid antigen were >600 U/mL. At the latest follow-up visit 1 year after the splenectomy, she is doing well; her platelet count and CRP are normal.

Conclusions

Our patient has SANT and essential thrombocythemia associated with AA amyloidosis. The high titers of anti-EBV IgG suggest that chronic EBV infection may have been causative for the former 2 conditions. The return of her high CRP level to the normal range after surgical removal of the pseudotumor may suggest an association of AA amyloidosis with SANT.
New Horizons in Nephrology: Update in Onco-Nephrology
Authors: Perazella Mark A.
Published: September 2018

Onco-Nephrology, which embodies the unique connection that exists for kidney disease and cancer in clinical medicine, continues to grow by leaps and bounds. The increasing interest in the subfield of Onco-Nephrology is witnessed by the recent conference dedicated to this area that took place in Philadelphia, Pennsylvania, USA. In this issue of the Journal of Onco-Nephrology, a series of papers addressing important topics in this area of subspecialization is presented as part of the Onco-Nephrology Highlights section. These papers are based on some of the lectures delivered at the above-noted Onco-Nephrology Symposium. I hope you find these four papers educational and practical in your provision of care to patients with cancer and kidney disease.
Short communication: Identification of cultivated and wild Vaccinium species grown in Portugal
Authors: Carvalho Márcia , Matos Manuela , Carnide Valdemar
Published: September 2018

Vaccinium crops offer a variety of benefits for human health due their high levels of antioxidants. Genetic diversity between two Vaccinium species (sixteen cultivars of Vaccinium corymbosum and three wild populations of Vaccinium myrtillus) were evaluated using Inter Simple Sequence Repeat (ISSR) markers. In V. corymbosum 74 polymorphic markers corresponding to 83.2% of polymorphism were obtained while in V. myrtillus only four polymorphic markers corresponding to 83.2% and 10.6% of polymorphism were observed. The dendrogram obtained showed a clear division into two distinct groups corresponding to the two analyzed species. V. corymbosum group is divided in different sub-clusters based on cultivars pedigree relationships. Twenty-eight specific bands were detected in total; 6 for V. corymbosum and 22 for V. myrtillus. Results allowed the selection of five primers due it potential to detect specific bands in the two species. These markers could be useful for identifying species and cultivars and consequently help in the management of germplasm collections and in breeding programs.
Operation of the Information Monitoring System for the Optimization of the Processing Time and the Dissemination of Financial Data
Authors: Khanchel Hanen , Lakhoua Mohamed Afif , Kahla Karim Ben
Published: September 2018

In this paper, we propose the concept of "information monitoring system "; we indicate its usefulness in the process of informative anticipatory system, in the face of the problem of financial information overload caused by the use of ICT. We present a grid of analysis of the accounting process in an indebted company. The concept is useful when the information intelligence is oriented "exploitation of the information anticipatory" for the anticipation, these being embedded in large financial data. Our experimentation on the problem studied will show us that these tools are effective to optimize the time of processing and dissemination of financial information for decision-making.