Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s07.07
V. Pasculescu, M. Morar, M. Suvar, Z. Vass
Explosive atmospheres may occur both in underground mining, as well as in surface industries such as the oil and gas, chemical, petrochemical, wood or baker industries, basically in all industries which extract, process, use, transport or store flammable substances. Within the European Union, Directive 2014/34/EU regulates the placing on the market of equipment, protective systems and components intended for use in such hazardous atmospheres. In this regard, for proofing the compliance with the essential safety requirements, they have to be subject to a certification process carried out by a Notified Body. The CE marking and the Ex ATEx marking (labelling) can be applied to the product only after it has been ensured that the product meets all applicable requirements set out by the Directive and related technical standards in force. The objective of the paper is to present an attempt of developing a Windows OS application which can be used for assisting the technicians involved in the certification process of Ex equipment, by providing guidance on the content of the label of the equipment which is subject to certification, taking into account its� specific characteristics and functions fulfilled.
{"title":"IT SOLUTION FOR EX LABELLING ASSISTANCE","authors":"V. Pasculescu, M. Morar, M. Suvar, Z. Vass","doi":"10.5593/sgem2022/2.1/s07.07","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s07.07","url":null,"abstract":"Explosive atmospheres may occur both in underground mining, as well as in surface industries such as the oil and gas, chemical, petrochemical, wood or baker industries, basically in all industries which extract, process, use, transport or store flammable substances. Within the European Union, Directive 2014/34/EU regulates the placing on the market of equipment, protective systems and components intended for use in such hazardous atmospheres. In this regard, for proofing the compliance with the essential safety requirements, they have to be subject to a certification process carried out by a Notified Body. The CE marking and the Ex ATEx marking (labelling) can be applied to the product only after it has been ensured that the product meets all applicable requirements set out by the Directive and related technical standards in force. The objective of the paper is to present an attempt of developing a Windows OS application which can be used for assisting the technicians involved in the certification process of Ex equipment, by providing guidance on the content of the label of the equipment which is subject to certification, taking into account its� specific characteristics and functions fulfilled.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125452813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s07.06
Michaela Chudobova, J. Kubícek, R. Ščurek, Marek Hutter
This article deals with the design and implementation of an intelligent biometric system that allows the detection and classification of a person's face from static image data and creates a system for evaluating its reliability. In its introductory part, it theoretically describes applied biometrics and biometric systems for security identification and user verification, and also deals with the theory of the description of algorithms for human face detection and recognition. Subsequently, the authors use the MATLAB programming language, which is highly optimized for modern processors and memory architectures, to focus on the implementation and testing of a biometric system using Viola-Jones algorithms and a convolutional neural network with a pre-trained network NetNet. Convolutional neural networks (CNN) are the most recognized and popular deep-learning neural networks, which are based on layers that perform two-dimensional (2D) convolution of input data with learned filters. In the final part there is a discussion where, based on the results of testing, the robustness and efficiency of the proposed intelligent biometric system is objectively evaluated. The results allow for the continued development of other pre-trained artificial neural networks, variable implementations for facial recognition, but also other things, such as the recognition of potentially dangerous people.
{"title":"IMPLEMENTATION OF INTELLIGENT BIOMETRIC SYSTEM FOR FACE DETECTION AND CLASSIFICATION","authors":"Michaela Chudobova, J. Kubícek, R. Ščurek, Marek Hutter","doi":"10.5593/sgem2022/2.1/s07.06","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s07.06","url":null,"abstract":"This article deals with the design and implementation of an intelligent biometric system that allows the detection and classification of a person's face from static image data and creates a system for evaluating its reliability. In its introductory part, it theoretically describes applied biometrics and biometric systems for security identification and user verification, and also deals with the theory of the description of algorithms for human face detection and recognition. Subsequently, the authors use the MATLAB programming language, which is highly optimized for modern processors and memory architectures, to focus on the implementation and testing of a biometric system using Viola-Jones algorithms and a convolutional neural network with a pre-trained network NetNet. Convolutional neural networks (CNN) are the most recognized and popular deep-learning neural networks, which are based on layers that perform two-dimensional (2D) convolution of input data with learned filters. In the final part there is a discussion where, based on the results of testing, the robustness and efficiency of the proposed intelligent biometric system is objectively evaluated. The results allow for the continued development of other pre-trained artificial neural networks, variable implementations for facial recognition, but also other things, such as the recognition of potentially dangerous people.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125062358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s10.36
A. F. Jocea, C. Cristea
In the era of rapid urbanization which has a great implication in converting the natural landscape into artificial surfaces, Land Surface Temperature (LST) is an important parameter which plays an important role in the studies of urban thermal environment, meteorological, hydrological and climatological applications and Global climate change. Data and images acquired from satellites offer information that can facilitate public and private decision - making. This study investigates the Land Surface Temperature (LST) determination in Bucharest city, which is the capital of Romania using geospatial data provided by the Sentinel - 3 SLTR instrument satellite mission and Geographic Information System techniques. For this purpose, were processed two images acquired on July 2020 and July 2021. The mapping result reveals that the surface temperature is around 32 - 50 Celsius degrees during summer period and had been recorded in the city center and in the industrial area of the city. The obtained temperature interval is reliable, comparing with the measurements realized by weather monitoring stations.
{"title":"DETERMINATION OF LAND SURFACE TEMPERATURE USING SENTINEL � 3 SLTR DATA AND GEOGRAPHIC INFORMATION SYSTEM TECHNIQUES","authors":"A. F. Jocea, C. Cristea","doi":"10.5593/sgem2022/2.1/s10.36","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s10.36","url":null,"abstract":"In the era of rapid urbanization which has a great implication in converting the natural landscape into artificial surfaces, Land Surface Temperature (LST) is an important parameter which plays an important role in the studies of urban thermal environment, meteorological, hydrological and climatological applications and Global climate change. Data and images acquired from satellites offer information that can facilitate public and private decision - making. This study investigates the Land Surface Temperature (LST) determination in Bucharest city, which is the capital of Romania using geospatial data provided by the Sentinel - 3 SLTR instrument satellite mission and Geographic Information System techniques. For this purpose, were processed two images acquired on July 2020 and July 2021. The mapping result reveals that the surface temperature is around 32 - 50 Celsius degrees during summer period and had been recorded in the city center and in the industrial area of the city. The obtained temperature interval is reliable, comparing with the measurements realized by weather monitoring stations.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115459777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s09.21
N. Dimitrov
The article summarizes the main geodetic activities performed in the region of Southwestern Bulgaria to study the modern crustal movements and clarify the geodynamic situation of the region. The study area is bounded to the north of the southern slopes of the Balkan Mountains, to the south to the southern slopes of the Rila Mountains, to the west � the western border of Bulgaria and to the east � the beginning of the Upper Thracian plain. The area has a complex geological structure with many active faults that must be studied. The region is of particular interest due to its high population density and high concentration of industrial facilities and resources. The main geodetic method for studying the crustal movements are GPS measurements, their processing and analysis of the results. To study the modern crustal movements in 1996- 1997, a geodynamic network was built that cover Southwestern Bulgaria. The network is designed for precision GPS measurements, determination the velocities of points and calculation of active strain. The results for velocities and strain rates of longtime monitoring are given. The velocities of the points are between 1.5mm/y of the northern most station and slightly over 3mm in the southern most station. The obtained result for strain rate field shows dominating N-S extension and the deformation is not uniformly distributed over the area. The strain rate field result confirms that the movement of points in the region of southwestern Bulgaria is in a southerly direction relative to stable Eurasia. This extensive movement of southern Bulgaria and northern Greece is also confirmed. Due to the long period of measurements the results are highly reliable and can be used for detailed geodynamic and geological study of the active fault structures in the region.
{"title":"APPLICATION OF GPS FOR STUDY THE GEODYNAMIC PROCESSES IN THE REGION OF SOUTHWESTERN BULGARIA","authors":"N. Dimitrov","doi":"10.5593/sgem2022/2.1/s09.21","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s09.21","url":null,"abstract":"The article summarizes the main geodetic activities performed in the region of Southwestern Bulgaria to study the modern crustal movements and clarify the geodynamic situation of the region. The study area is bounded to the north of the southern slopes of the Balkan Mountains, to the south to the southern slopes of the Rila Mountains, to the west � the western border of Bulgaria and to the east � the beginning of the Upper Thracian plain. The area has a complex geological structure with many active faults that must be studied. The region is of particular interest due to its high population density and high concentration of industrial facilities and resources. The main geodetic method for studying the crustal movements are GPS measurements, their processing and analysis of the results. To study the modern crustal movements in 1996- 1997, a geodynamic network was built that cover Southwestern Bulgaria. The network is designed for precision GPS measurements, determination the velocities of points and calculation of active strain. The results for velocities and strain rates of longtime monitoring are given. The velocities of the points are between 1.5mm/y of the northern most station and slightly over 3mm in the southern most station. The obtained result for strain rate field shows dominating N-S extension and the deformation is not uniformly distributed over the area. The strain rate field result confirms that the movement of points in the region of southwestern Bulgaria is in a southerly direction relative to stable Eurasia. This extensive movement of southern Bulgaria and northern Greece is also confirmed. Due to the long period of measurements the results are highly reliable and can be used for detailed geodynamic and geological study of the active fault structures in the region.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128615515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s09.22
Marina Georgieva
The latest amendments to Ordinance 1 on the creation and maintenance of specialized maps and registers of specialized public state property under the Act on the Black Sea coast spatial development create a procedure for changing and periodically updating these specialized maps and registers, as the existing regulation regulated only their creation and acceptance. The change and the periodic updating of these specialized maps and registers are assigned by the Bulgarian Agency for Geodesy, Cartography and Cadastre to certified individuals to perform cadastral activities, a qualified land surveyor who prepares the necessary draft amendments and documentation. In the above context, the article aims to present the results of the application of current geodetic technologies and solutions in connection with geodetic activities for periodic updating of specialized maps and registers under the Act on the Black Sea coast spatial development for the famous Bulgarian sea beach. The periodic update includes control geodetic measurements and analysis against the data reflected in the specialized maps and registers and the cadastral map and the cadastral registers; capture of new or changed objects, sub-objects and elements; verification of the characteristics of the objects and sub-objects. The obtained results are presented with the help of unmanned aerial system and global navigation satellite system and conclusions and recommendations are made for their applicability on the presented issues.
{"title":"CURRENT GEODETIC TECHNOLOGIES IN THE MAINTENANCE OF SPECIALIZED MAPS AND REGISTERS OF SEA BEACHES IN THE REPUBLIC OF BULGARIA","authors":"Marina Georgieva","doi":"10.5593/sgem2022/2.1/s09.22","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s09.22","url":null,"abstract":"The latest amendments to Ordinance 1 on the creation and maintenance of specialized maps and registers of specialized public state property under the Act on the Black Sea coast spatial development create a procedure for changing and periodically updating these specialized maps and registers, as the existing regulation regulated only their creation and acceptance. \u0000The change and the periodic updating of these specialized maps and registers are assigned by the Bulgarian Agency for Geodesy, Cartography and Cadastre to certified individuals to perform cadastral activities, a qualified land surveyor who prepares the necessary draft amendments and documentation.\u0000 In the above context, the article aims to present the results of the application of current geodetic technologies and solutions in connection with geodetic activities for periodic updating of specialized maps and registers under the Act on the Black Sea coast spatial development for the famous Bulgarian sea beach. \u0000The periodic update includes control geodetic measurements and analysis against the data reflected in the specialized maps and registers and the cadastral map and the cadastral registers; capture of new or changed objects, sub-objects and elements; verification of the characteristics of the objects and sub-objects. \u0000The obtained results are presented with the help of unmanned aerial system and global navigation satellite system and conclusions and recommendations are made for their applicability on the presented issues.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s10.43
Elena Aydın
Biochar is being studied for few decades as it finds various applications in mitigating climate change, improving soil properties and water retention which subsequently potentially improves the crop yields. One of the parameters potentially predicting the crop yield is the crop density during the vegetation period as it represents the number of plants per area unit that can photosynthesize and potentially bring yield at the end of vegetation season. The paper presents the observations on the changes in canopy density during the vegetative part of the vegetation season of maize (Zea mays L.) which was estimated using non-destructive method of close canopy imagery. The field observations were done at the experimental site in Dolna Malanta near Nitra (Slovakia). In 2014, a commercially purchased soil additive (biochar mixed with compost � BC) was applied to plots (4 x 6 m of size) of agricultural land in the rates of 0, 10 and 20 t/ha. The application rates of BC were combined with 3 levels of NPK fertilizer application (0, 160 and 240 kg N/ha). During the observation period from mid-May 2015 up to beginning of July 2015, images of maize canopy parallel to soil surface were taken from above the crop canopy with camera built up in the mobile. The canopy density was evaluated using the Breedpix software. The canopy density three weeks after sowing ranged from 1.7 to 2.1 % at the control treatments (without BC) at different fertilization levels. The values at treatments with BC ranged from 2.1 up to 2.4 and from 1.9 up to 2.6 % at the application rate 10 and 20 t/ha, respectively. Although in general higher values were observed at treatments with BC application, the differences were not significant. The canopy density over the studied period increased in all treatments, at the end of June the values ranged from 39 to 40 % at the treatments without BC and from 39 to 46 % at treatments with BC at 10 t/ha and from 38 up to 58 % at the treatments with BC at 20 t/ha application rate. Although majority of differences were not statistically significant, it can be concluded that overall biochar mixed with compost slightly increased the density of the maize canopy at least in the early stages of the development. As the maize height was increasing, the sampling method was not suitable as it was not possible to take image of the full canopy within the row. For such applications it might be useful to take photos from larger height preferably with UAV.
{"title":"THE POTENTIAL OF BIOCHAR AND COMPOST MIXTURE TO INCREASE THE MAIZE CANOPY DURING THE VEGETATIVE SEASON","authors":"Elena Aydın","doi":"10.5593/sgem2022/2.1/s10.43","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s10.43","url":null,"abstract":"Biochar is being studied for few decades as it finds various applications in mitigating climate change, improving soil properties and water retention which subsequently potentially improves the crop yields. One of the parameters potentially predicting the crop yield is the crop density during the vegetation period as it represents the number of plants per area unit that can photosynthesize and potentially bring yield at the end of vegetation season. The paper presents the observations on the changes in canopy density during the vegetative part of the vegetation season of maize (Zea mays L.) which was estimated using non-destructive method of close canopy imagery. The field observations were done at the experimental site in Dolna Malanta near Nitra (Slovakia). In 2014, a commercially purchased soil additive (biochar mixed with compost � BC) was applied to plots (4 x 6 m of size) of agricultural land in the rates of 0, 10 and 20 t/ha. The application rates of BC were combined with 3 levels of NPK fertilizer application (0, 160 and 240 kg N/ha). During the observation period from mid-May 2015 up to beginning of July 2015, images of maize canopy parallel to soil surface were taken from above the crop canopy with camera built up in the mobile. The canopy density was evaluated using the Breedpix software. The canopy density three weeks after sowing ranged from 1.7 to 2.1 % at the control treatments (without BC) at different fertilization levels. The values at treatments with BC ranged from 2.1 up to 2.4 and from 1.9 up to 2.6 % at the application rate 10 and 20 t/ha, respectively. Although in general higher values were observed at treatments with BC application, the differences were not significant. The canopy density over the studied period increased in all treatments, at the end of June the values ranged from 39 to 40 % at the treatments without BC and from 39 to 46 % at treatments with BC at 10 t/ha and from 38 up to 58 % at the treatments with BC at 20 t/ha application rate. Although majority of differences were not statistically significant, it can be concluded that overall biochar mixed with compost slightly increased the density of the maize canopy at least in the early stages of the development. As the maize height was increasing, the sampling method was not suitable as it was not possible to take image of the full canopy within the row. For such applications it might be useful to take photos from larger height preferably with UAV.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"24 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132938808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s07.08
Jiri Blahuta, Tomás Soukup, J. Lavrincik, Lukáš Pavlík, J. Kozel
Diagnostic ultrasound (US) and magnetic resonance imaging (MRI) are important medical imaging methods in modern radiology. Our research is focused on imaging brain structures in neurology. In this paper we present differences of digital image analysis of the substantia nigra (SN) between US and MRI using the same algorithm. In the past, we developed an application for analyzing substantia nigra echogenicity in BMODE US images. Our developed application is based on a principle of binary thresholding in Region of Interest (ROI) to evaluate echogenicity grade. Increased echogenicity of SN is one of important markers for Parkinson�s Disease (PD) progress. The goal of this paper is to analyze if the same principle used for US B-MODE imaging is also applicable for different MR sequences to find out SN changes. From the achieved results detectable SN changes using MRI are possible at least as a complementary examination to US imaging. We need to prove if echogenicity index (called Echo-Index) is well reproducible value between two different MR sequences; SWI and T2-TSE; how to distinguish between pathological SN and normal anatomy. In the first pilot analysis, it seems that the principle of Echo-Index measurement could be a starting point to create a new large clinical study in this field. Totally 23 MR images from two different sequences (T1 and T2) were analyzed in this pilot study. However, it seems that Echo-Index cannot distinguish normal and diseased SN.
{"title":"MEASURING AND EVALUATION OF THE ECHOGENICITY GRADE OF SUBSTANTIA NIGRA IN MRI SEQUENCES VS B-MODE ULTRASOUND IMAGING USING THE SAME ALGORITHM: PILOT COMPARISON STUDY","authors":"Jiri Blahuta, Tomás Soukup, J. Lavrincik, Lukáš Pavlík, J. Kozel","doi":"10.5593/sgem2022/2.1/s07.08","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s07.08","url":null,"abstract":"Diagnostic ultrasound (US) and magnetic resonance imaging (MRI) are important medical imaging methods in modern radiology. Our research is focused on imaging brain structures in neurology. In this paper we present differences of digital image analysis of the substantia nigra (SN) between US and MRI using the same algorithm. In the past, we developed an application for analyzing substantia nigra echogenicity in BMODE US images. Our developed application is based on a principle of binary thresholding in Region of Interest (ROI) to evaluate echogenicity grade. Increased echogenicity of SN is one of important markers for Parkinson�s Disease (PD) progress. The goal of this paper is to analyze if the same principle used for US B-MODE imaging is also applicable for different MR sequences to find out SN changes. From the achieved results detectable SN changes using MRI are possible at least as a complementary examination to US imaging. We need to prove if echogenicity index (called Echo-Index) is well reproducible value between two different MR sequences; SWI and T2-TSE; how to distinguish between pathological SN and normal anatomy. In the first pilot analysis, it seems that the principle of Echo-Index measurement could be a starting point to create a new large clinical study in this field. Totally 23 MR images from two different sequences (T1 and T2) were analyzed in this pilot study. However, it seems that Echo-Index cannot distinguish normal and diseased SN.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s10.44
Lyubomira Trendafilova, D. Dechev
Recently, the echosounder systems in the Bulgarian Black Sea shelf have become a standard method of seabed exploration. The paper presents the present-day field activity of bathymetric research, which revised available hydrographic data for the seabed. The study aims to combine and update archival bathymetric data from contemporary multibeam echo-sounding scanning and archive single-beam data. This work presents activity in the second stage of Project �Multidisciplinary study of Burgas Bay � MidBay. (Composition of a detailed digital model of the bottom relief with analysis of modern geomorphological conditions and archaeological forecasting modelling)� with a primary scientific goal to create an overall bathymetric model of the Burgas and Pomorie bays. The studied bay is strongly anthropogenically modified by the port in its southern part. The reconstruction of seafloor topography will allow the detection of substrate varieties and the identification of contemporary geomorphological bedforms and processes. A historical review of hydrographic research and geo base database was created for the seabed of the Bulgarian coastal zone in support of this study with different-year bathymetric surveys. The used data consolidate sonar mosaics, single beam, multibeam bathymetric data and raster satellite images, processed in PDS 2000, SonarWiz, and GIS environment. The coverage and density of the bathymetric data allowed the generation of a seabed digital bathymetric model with a horizontal resolution of 11 m. In addition, a bathymetric map with an interval of 0.5 m was created with high accuracy. Such a high-resolution model is an important advance in the highresolution mapping of the Bulgarian Black Sea coastal zone.
{"title":"UPDATED DIGITAL BATHYMETRIC MODEL OF POMORIE AND BURGAS BAY, BULGARIAN BLACK SEA","authors":"Lyubomira Trendafilova, D. Dechev","doi":"10.5593/sgem2022/2.1/s10.44","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s10.44","url":null,"abstract":"Recently, the echosounder systems in the Bulgarian Black Sea shelf have become a standard method of seabed exploration. The paper presents the present-day field activity of bathymetric research, which revised available hydrographic data for the seabed. The study aims to combine and update archival bathymetric data from contemporary multibeam echo-sounding scanning and archive single-beam data. This work presents activity in the second stage of Project �Multidisciplinary study of Burgas Bay � MidBay. (Composition of a detailed digital model of the bottom relief with analysis of modern geomorphological conditions and archaeological forecasting modelling)� with a primary scientific goal to create an overall bathymetric model of the Burgas and Pomorie bays. The studied bay is strongly anthropogenically modified by the port in its southern part. The reconstruction of seafloor topography will allow the detection of substrate varieties and the identification of contemporary geomorphological bedforms and processes. A historical review of hydrographic research and geo base database was created for the seabed of the Bulgarian coastal zone in support of this study with different-year bathymetric surveys. The used data consolidate sonar mosaics, single beam, multibeam bathymetric data and raster satellite images, processed in PDS 2000, SonarWiz, and GIS environment. The coverage and density of the bathymetric data allowed the generation of a seabed digital bathymetric model with a horizontal resolution of 11 m. In addition, a bathymetric map with an interval of 0.5 m was created with high accuracy. Such a high-resolution model is an important advance in the highresolution mapping of the Bulgarian Black Sea coastal zone.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134394361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s09.31
C. Bârliba, L. Barliba, C. Popescu, I. Samfira, F. C. Bârliba
The theme of the work aimed to present a model of drawing up and carrying out a drawing work for collective constructions in order to build a building with a ground floor + 1st floor + attic. This project has been approved by the City Hall of Timisoara, Romania. The purpose of the work was to identify and execute a topographic elevation, to draw and track the horizontality and verticality of the building for each level (ground floor, floor, attic). The work was completed with the preparation of a cadastral documentation that includes the tabulation of the construction and the division into apartments of the building, being a collective dwelling with several beneficiaries. It was designed to be a construction type with a height regime GF+1F+A included in the land book 441649 from the database of the municipality of Timisoara. The building will have 4 housing units per level: ground floor, 1st floor and attic, each with 4 apartments. The structure of the building is made of 25 cm brick, with an exterior insulation of 10 cm, and the roof will be made on a wooden structure covered with metal tile. Due to the small tolerances admitted by the builder in drawing the axes and bolts, it was absolutely necessary to perform specialized works to identify the land, to execute the topographic elevations in order to draw up the situation plan and, subsequently, to place the future construction according to the distances approved by the urbanism certificate and building permit. This type of works requires a large volume of work both in the preliminary phase and in the execution phase: measuring large areas of land and raising all the details of planimetry and relief.
{"title":"TOPOGRAPHIC WORKS EXECUTED FOR LIFTING AND DRAWING A COLLECTIVE CONSTRUCTION GF+1F+A IN A RESIDENTIAL AREA OF TIMISOARA, ROMANIA","authors":"C. Bârliba, L. Barliba, C. Popescu, I. Samfira, F. C. Bârliba","doi":"10.5593/sgem2022/2.1/s09.31","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s09.31","url":null,"abstract":"The theme of the work aimed to present a model of drawing up and carrying out a drawing work for collective constructions in order to build a building with a ground floor + 1st floor + attic. This project has been approved by the City Hall of Timisoara, Romania. \u0000The purpose of the work was to identify and execute a topographic elevation, to draw and track the horizontality and verticality of the building for each level (ground floor, floor, attic). The work was completed with the preparation of a cadastral documentation that includes the tabulation of the construction and the division into apartments of the building, being a collective dwelling with several beneficiaries. \u0000It was designed to be a construction type with a height regime GF+1F+A included in the land book 441649 from the database of the municipality of Timisoara. The building will have 4 housing units per level: ground floor, 1st floor and attic, each with 4 apartments. The structure of the building is made of 25 cm brick, with an exterior insulation of 10 cm, and the roof will be made on a wooden structure covered with metal tile. \u0000Due to the small tolerances admitted by the builder in drawing the axes and bolts, it was absolutely necessary to perform specialized works to identify the land, to execute the topographic elevations in order to draw up the situation plan and, subsequently, to place the future construction according to the distances approved by the urbanism certificate and building permit. \u0000This type of works requires a large volume of work both in the preliminary phase and in the execution phase: measuring large areas of land and raising all the details of planimetry and relief.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115436209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-15DOI: 10.5593/sgem2022/2.1/s08.15
Dessislava Ganeva, Milen Chanev, D. Valcheva, Lachezar Hristov Filchev, G. Jelev
Biomass is monitored in many agricultural studies because it is closely related to the growth of the crop. The technique of digital repeat photography that continuously capture images of a given area with an RGB or near-infrared enabled cameras, Phenocams, has been used for more than a decade mainly to estimate phenology. Studies have found a relationship between Phenocam data and above-ground dry biomass. In this context we investigate the modeling of barley fresh above and underground biomass with Green chromatic coordinate (Gcc) colour index, extracted from Phenocam data, and multi-output Gaussian processes (MOGP). We take advantage of the available very high temporal resolution data from the phenocam to predict the biomass. The MOGP models take into account the relationships among output variables learning a cross-domain kernel function able to transfer information between time series. Our results suggest that MOGP model is able to successfully predict the variables simultaneously in regions where no training samples are available by intrinsically exploiting the relationships between the considered output variables.
{"title":"MODELLING BARLEY BIOMASS FROM PHENOCAM TIME SERIES WITH MULTI-OUTPUT GAUSSIAN PROCESSES","authors":"Dessislava Ganeva, Milen Chanev, D. Valcheva, Lachezar Hristov Filchev, G. Jelev","doi":"10.5593/sgem2022/2.1/s08.15","DOIUrl":"https://doi.org/10.5593/sgem2022/2.1/s08.15","url":null,"abstract":"Biomass is monitored in many agricultural studies because it is closely related to the growth of the crop. The technique of digital repeat photography that continuously capture images of a given area with an RGB or near-infrared enabled cameras, Phenocams, has been used for more than a decade mainly to estimate phenology. Studies have found a relationship between Phenocam data and above-ground dry biomass. In this context we investigate the modeling of barley fresh above and underground biomass with Green chromatic coordinate (Gcc) colour index, extracted from Phenocam data, and multi-output Gaussian processes (MOGP). We take advantage of the available very high temporal resolution data from the phenocam to predict the biomass. The MOGP models take into account the relationships among output variables learning a cross-domain kernel function able to transfer information between time series. Our results suggest that MOGP model is able to successfully predict the variables simultaneously in regions where no training samples are available by intrinsically exploiting the relationships between the considered output variables.","PeriodicalId":375880,"journal":{"name":"22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116106642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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