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1
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EN
In this paper, we consider the problem of 3D maps building based on the 3D laser scanner indications. The map of the environmem is represented as a 2D array of cells. Each cell represents rectangular region of the scene and consits of list of objects. The key idea of the system is lines extraction from the raw laser data and assigning them to the proper cells. Based on the lines, a set of objects (planes) is built and assigned to each cell. Objects represent obstacles in the environment. The main advantages of the system are real-time map building and Iow memory consumption. We prove that the system works property in real indoor environment but the system can be extended in order ta buiit the map of uristructured robots surrounding.
2
Content available Semantic Place Labeling Method
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EN
The paper presents a method of semantic localization of a mobile robot. The robot is equipped with a Sick laser finder and a Kinect sensor. The simplest source of informa tion about an environment is a scan obtained by the range sensor. The polygonal approximation of an observed area is performed. The shape of the polygon allows us to distinguish corridors from other places using a simple rule based system. During the next step rooms are classified based on objects which have been recognized. Each object votes for a set of classes of rooms. In a real environment we deal with uncertainty. Usually probabilistic theory is used to solve the problem but it is not capable of capturing subjective uncertainty. In our approach instead of the classic Bayesian method we proposed to perform classification using Dempster-Shafer theory (DST), which can be regarded as a generalization of the Bayesian theory and is able to deal with subjective uncertainty. The experiments performed in real office environment proved the efficiency of our approach.
EN
The article has information about the possibilities of mapping the electrostatic field using mobile devices. Thanks to the mobility of the measurement systems it is possible to perform fast, and reliable updates of the downloaded data and create interactive maps of cities and rural terrains. A single course enables collecting measurement data in several locations in relatively short time. Such solution does not come without a cost; in this case, it’s the high possibility of the data’s accuracy.
EN
The By-Pass Ring Road in Kendari serves as a crucial artery, facilitating accessibility and mobility between the city center and burgeoning outskirts. However, heightened traffic has led to a notable upswing in noise along the highway. This study aims to systematically map the distribution of this noise across various land uses in the vicinity. The findings reveal a vehicular composition predominantly comprised of motorcycles (68%), followed by light vehicles (27%), and heavy vehicles (5%). Notably, although heavy vehicles constitute a mere 5%, they significantly influence the elevation of noise levels. The highest noise intensity impacting land use is observed in service areas, succeeded by commercial and school zones, with the lowest levels recorded in settlement areas. The mapped results depict a noise exposure of 67 dB reaching receptors, coupled with an average noise reduction of 9 dB. Remarkably, as the average distance from the noise source on the highway to the receptors increases (averaging 14 meters), there is a discernible reduction in noise intensity. This visually apparent trend is corroborated by the noise mapping results.
5
Content available remote From surveying and mapping to geomatics challenges and opportunities
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EN
The computer, information technology, digital mapping, GPS, satellite imagery and the Internet have unleashed profound changes in the way geospatial information is acquired, managed and used.
EN
We describe a system allowing a mobile robot equipped with a 3D laser range finder to navigate in the indoor and outdoor environment. A global map of the environment is constructed, and the particle filter algorithm is used in order to accurately determine the position of the robot. Based on data from the laser only, the robot is able to recognize certain classes of objects like a floor, a door, a washbasin, or a wastebasket, and places like corridors or rooms. For complex objects, the recognition process is based on the Haar feature identification. When an object is detected and identified, its position is associated with the appropriate place in the global map, making it possible to give orders to the robot with the use of semantic labels, e.g., "go to the nearest wastebasket ". The obstaclefree path is generated using a Cellular Neural Network, accounting for travel costs with distance or ground quality. This path planning method is fast and in comparison with the potential field method it does not suffer from the local minima problem. We present some results of experiments performed in a real indoor environment.
EN
The presentation answers the frequent question about the practical usefulness, advantages and disadvantages of radon risk maps and detailed in-situ classification of radon risk. Czech Radon Programme derives the benefit from radon maps on various scales – 1:500 000, 1:200 000 and 1:50 000, as well as from the uniform method for direct detailed classification of radon risk. The reliability assessment of the practical usefulness is based on the direct comparison between the results obtained from detailed in-situ classification of radon risk of building sites and the corresponding reading from the radon risk map. Altogether almost one thousand of detailed radon risk assessments, i.e. tens of thousands of soil-gas radon concentration measurements, were compared with the expected radon risk categories in five radon risk map sheets on the scale 1:50 000. The new results more specify and correspond to the previous results from comparisons performed in 1992, 1995 and 2002. We can prepare quite consistent maps, which can be successfully used to direct the search of existing houses with higher indoor radon values. On the other hand, the risk of underestimation or overestimation in the case of deriving the radon risk classification of a specific building site from the map seems to be too high to use the maps for direct assessment of specific sites. For new buildings, it is recommended to use detailed in-situ measurements and classification.
EN
A key issue for stakeholder management is to determine who, to what extent and why can influence a project. Proper identification of stakeholders and their classification according to the criteria adopted allows for defining their hierarchy, strength and impact on the project. This, in turn, conditions the development of a strategy for dealing with individual stakeholder groups. The definitions of the concept of a stakeholder have been reviewed to determine the identification criteria. The article also attempts to systematize methods of qualifying stakeholders, depending on the number of differentiation criteria. The methods used for the qualification of stakeholders are often presented graphically.
EN
The article examinee the characteristics of sewage sludge and its impact on the environment. The description of technical installations, sludge sites in the municipal wastewater treatment systems, which are sources of unfavorable sanitary and epidemiological condition of the studied territory, was presented. A detailed analysis of the structure, composition and morphology of sludge sediment was given. It was found that the sludge presents a loose, rough heterogeneous porous structure represented by the presence of a fibrous substrate with amorphous scaly-crystalline inclusions. During laboratory analyses of the composition of the dry residue, the presence of such types of heavy metals as chromium, manganese, nickel, copper, zinc, lead, cobalt, molybdenum, cadmium was revealed. The excess of permissible concentrations of various elements was observed: chromium more than 7.1 at MPC – 6.0 by 1.18 times; copper more than 3.3 at MPC – 3.0 by 1.1 times; zinc more than 27.3 at MPC – 23.0 by 1.18 times; lead more than 34.3 at MPC – 32.0 by 1.07 times; cobalt more than 6.4 at MPC – 5.0 by 1.28 times; molybdenum more than 6.9 at MPC – 5.0 by 1.3 times. Soil analysis revealed a pH of 7.1, which is neutral, may be optimal for plants; the concentration of calcium, iron and chromium does not exceed the established maximum permissible values. When analyzing the air environment of the territory of the treatment facilities, the presence of gaseous pollutants, such as methane, ammonia, nitrogen dioxide, hydrogen sulfide, carbon monoxide, was established. It has been established that anthropogenic sludge landfills are the sources that create a technogenic load on the atmospheric air, polluting it with methane, since the concentration of methane exceeds the MPC by more than 3 times.
EN
Spatial analyses represent a precondition to understanding phenomena and their dynamics as well as the analysis of relations. Worldwide, spatial investigation of crime rates is not a novelty and the results are being actively used in the field of planning preventive activities as well as to present the results of mapping on web portals for the purposes of informing the public. In Slovakia, the crime rates are presumably observed on the level of districts and counties and based on these data, crime rate maps have been created since 2013. On the level of cities and municipalities, the punctuality of crime rate investigation is dependent upon the municipalities as such. Spatial investigation of crime rates is realized only within the range of research projects, namely in the cities of Prešov and Košice. In Košice, crime rates have been spatially investigated since 2013 and despite arguable results with the possibility of them being practically used, spatial investigation in Slovakia has not spread to other cities. One of the reasons is represented by the necessity of being acknowledged with geographical information systems and having sufficient knowledge in the field of rudiments of working with mapping outputs. One of the options in terms of how to fill in the gap is extending the security education in Slovakia and presenting the options the results of analyses might provide in relation to the practice.
EN
Zagros forests have the greatest impact on soil and water protection in western Iran. Despite this, a significant part of these forests, especially in Ilam province, have suffered a lot due to the phenomenon of oak decline. The  first and most fundamental thing a person must know when combating this issue is the distribution of these areas in forests. Therefore, using the parameters affecting the decline in the forests of Ilam province and based on fuzzy logic, a map of susceptible to oak decline areas was prepared. In this study, the parameters of temperature and precipitation, slope, aspect, altitude, distance from farmlands, roads and forest density were selected as effective parameters and fuzzy gamma overlap method was used. The results showed that more than 77% of the oak forests in the province are highly and extremely susceptible to the decline. This confirms the need for rapid action to plan and protect these forests. In addition, the fuzzy method is proposed, which is considered as a fast and efficient method in preparing such maps for other areas
EN
The Doukkala plains one of the largest irrigated areas in Morocco with a very important agricultural potential. With the integration of new technologies in agriculture, the plain has been subjected to intensive agriculture which has negative impacts on soil quality especially the soil organic matter loss. Therefore, the objective of this study is to combine remote sensing and modelling for monitoring of organic matter content. The obtained results showed that all the examined models showed satisfactory results in the prediction of organic matter with a coefficient of determination R2 ranging from 0.58 to 0.71 and the Root Mean Square Error (RMSE) varied 0.25 and 0.26%. Based on the findings, we can infer that this approach is both efficient and valid for modelling and mapping soil organic matter and may moreover be applied for other areas with same characteristics.
EN
Bluetooth beacons are becoming increasingly popular for various applications such as marketing or indoor navigation. However, designing a proper beacon installation requires knowledge of the possible sources of interference in the target environment. While theoretically beacon signal strength should decay linearly with log distance, on-site measurements usually reveal that noise from objects such as Wi-Fi networks operating in the vicinity significantly alters the expected signal range. The paper presents a novel mobile Geographic Information System for measurement, mapping and local as well as online storage of Bluetooth beacon signal strength in semireal time. For the purpose of on-site geovisual analysis of the signal, the application integrates a dedicated interpolation algorithm optimized for low-power devices. The paper discusses the performance and quality of the mapping algorithms in several different test environments.
EN
The author presents a geospatial analysis of the Peru-Chile Trench located in the South Pacific Ocean by the Generic Mapping Tool (GMT) scripting toolset used to process and model data sets. The study goal is to perform geomorphological modelling by the comparison of two segments of the trench located in northern (Peruvian) and southern (Chilean) parts. The aim of the study is to perform automatic digitizing profiles using GMT and several scripting modules. Orthogonal cross-section profiles transecting the trench in a perpendicular direction were automatically digitized, and the profiles visualized and compared. The profiles show variations in the geomorphology of the trench in the northern and southern segments. To visualize geological and geophysical settings, a set of the thematic maps was visualized by GMT modules: free-air gravity anomaly, geoid, geology and bathymetry. The results of the descriptive statistical analysis of the bathymetry in both segments show that the most frequent depths for the Peruvian segment of the Peru-Chile Trench range from -4,000 to -4,200 (827 recorded samples) versus the range of -4,500 to -4,700 m for the Peruvian segment (1,410 samples). The Peruvian segment of the trench is deeper and its geomorphology steeper with abrupt slopes compared to the Chilean segment. A comparison of the data distribution for both segments gives the following results. The Peruvian segment has the majority of data (23%) reaching 1,410 (-4,500 m to -4,700 m). This peak shows a steep pattern in data distribution, while other data in the neighbouring diapason are significantly lower: 559 (-4,700 m to -5,000 m) and 807 (-4,200 m to -4,400 m). The Chilean segment has more unified data distribution for depths of -6,000 m to -7,000 m. This paper presents GMT workflow for the cartographic automatic modelling and mapping deep-sea trench geomorphology.
15
Content available Indoor Mapping Using Sonar Sensor and Otsu Method
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EN
In this paper we present an indoor mapping algorithm based on sonar sensor. The overall object detection and mapping experiment is based on small scale local spatial information which has been accomplished in a 2D geometrical map. Considering all drawbacks and pluses of ultrasonic sensors, we present an innovative mapping approach, applying the Otsu’s method and Hit-or-Miss for sonar-data processing. The collected data are treated as a gray-scale picture. For its binarization, we applied the well-known for vision-based systems threshold calculation. Then also the morphology effect, what rises additionally the mapping accuracy, as is shown at the end of the paper. The robot is based on the education construction set LEGO Mindstorms EV3 intelligent brick on ev3dev - a Debian Linux-based operating system and Python 2.0 have been used for programming. The results are evaluated and compared with the real space.
EN
For twenty years, a large number of works have been devoted to studying the inclusion of literature in space and the representation of places in literary texts. This interest in space issues seems to fit in both the evolution of literary genres, characterized by an increasing spatialization of narrative forms, and the development of artistic practices related to the creation of literary maps. After what has been termed the spatial turn in literary and cultural studies, critics have focused their attention on the relationships among space, place and mapping in literature. This aspect is one of the most interesting themes in the field of Geocriticism. This paper aims to study this “convergence” between literature and cartography, examining the textuality of literary maps and, in particular, their rhetorical dimension. Literary maps can represent the story setting, allowing the author to build a fictional world that readers explore with the characters.
IT
Nell’ultimo ventennio, un numero importante di lavori sono stati consacrati allo studio della rappresentazione dello spazio nei testi letterari. Tale interesse sembra inscriversi sia nell’evoluzione dei generi, caratterizzati da una spazializzazione crescente delle forme narrative, sia nello sviluppo di pratiche artistiche legate alla creazione di carte letterarie. In seguito all’affermarsi dello spatial turn negli studi letterari e culturali, parte della critica ha focalizzato la sua attenzione sulla relazione che intercorre tra spazio immaginario, spazio referenziale e pratica cartografica. Quest’ultimo aspetto costituisce uno dei temi più interessanti della metodologia geocritica. Il presente articolo mira a studiare questa “convergenza” tra la letteratura e la cartografia, con l’intento di esaminare la testualità delle carte letterarie e, in particolare, la loro dimensione retorica. Le carte letterarie sono in grado di rappresentare i luoghi in cui si svolge l’azione di un romanzo, o di più romanzi, permettendo allo scrittore di costruire un mondo immaginario che i lettori esplorano assieme ai personaggi.
EN
This paper presents a model to generate a 3D model of a room, where room mapping is very necessary to find out the existing real conditions, where this modeling will be applied to the rescue robot. To solve this problem, researchers made a breakthrough by creating a 3D room mapping system. The mapping system and 3D model making carried out in this study are to utilize the camera Kinect and Rviz on the ROS. The camera takes a picture of the area around it, the imagery results are processed in the ROS system, the processing carried out includes several nodes and topics in the ROS which later the signal results are sent and displayed on the Rviz ROS. From the results of the tests that have been carried out, the designed system can create a 3D model from the Kinect camera capture by utilizing the Rviz function on the ROS. From this model later every corner of the room can be mapped and modeled in 3D.
EN
Anatomical structures are characterized by free surfaces, and most are in lobed and pseudo-spherical shapes. The aim of this article is to analyze selected procedures for accuracy assessment of the shape and dimensions of these structures using certified sphere and Ball Bar standards and to propose metrology parameters facilitating comparison of diagnostic devices. The spherical standard of various materials and Ball Bar standards with various distances between spheres centers can be a tool for evaluation of computed tomography metrology applications. Errors in geometry mapping can be identified on the basis of standardized control systems used in coordinate measuring techniques.
19
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EN
In this article we propose the application of service mobile robots for control of building safety parameters. Indoor mobile robots are becoming a reality and their availability and applications are expected to grow rapidly in the near future. Such robots are usually equipped with cameras and laser range finders, which could be used to detect hazardous situations in their operating environment, such as evacuation route obstructions, emergency sign occlusions or accumulation of dangerous materials. We demonstrate how these safety-related augmentations of a mobile robot system can be achieved with few additional resources and validate experimentally the concept using an indoor robot for emergency sign and evacuation route control.
EN
The majority of the southern Baltic Sea seabed encompasses homogenous soft-bottom sediments of limited productivity and low biological diversity, but shallow productive areas in the coastal zone such as wetlands, vegetated lagoons and sheltered bays show a high variety of benthic habitat types offering favourable biotopic conditions for benthic fauna. Within Polish marine areas, semi-enclosed Puck Bay (the western part of the Gulf of Gdańsk) features an exceptionally diverse environment covering a range of benthic habitats which underscores its unique biological value and aesthetic quality and providing an impetus for conservation and ecosystem-based development. Full-coverages maps on benthic habitats in this area are therefore a necessary foundation for maritime spatial planning and implementation of strategies for sustainable management and protection of the coastal environment. This study presents the first comprehensive description and distribution of benthic habitats in Puck Bay which were categorised using the revised EUNIS 2019 classification system. Typological analyses were carried out based on inventory datasets from 1995 to 2019 including scientific publications, satellite images, open databases, topographic and geological maps, reports, theses, information available on websites and unpublished data shared willingly by individual researchers and administrative institutions. Collating various spatial data sources, that were first georeferenced and then visualized using techniques available in ArcMap 10.4.1 software (Esri), resulted in the mapping of benthic habitats and sites of important and protected plant species, which can contribute to the high confidence in environmental assessments and monitoring activities.
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