Priyanka_Resume_Oct102015priyanka gadiaThe document provides a summary of Priyanka Gadia's professional experience as a Senior Software Engineer specializing in Java/J2EE technologies. She has over 7 years of experience developing web applications using technologies like Spring, Hibernate, XML, and databases like Oracle and MySQL. Her experience includes full lifecycle development, requirements gathering, design, and project management. She is proficient in Java, J2EE, XML, databases, frameworks, tools, and methodologies.
Priyanka_Resume_Oct102015priyanka gadiaThe document provides a summary of Priyanka Gadia's professional experience as a Senior Software Engineer specializing in Java/J2EE technologies. She has over 7 years of experience developing web applications using technologies like Spring, Hibernate, XML, and databases like Oracle and MySQL. Her experience includes full lifecycle development, requirements gathering, design, and project management. She is proficient in Java, J2EE, XML, databases, frameworks, tools, and methodologies.
Omnichannel Commerce: la reinvención del comercioFrancisco Egea CastejónEl reto del omnichannel commerce: ¿en qué consiste? ¿por qué es necesario? ¿cuáles son los retailers que están liderando la revolución del comercio?
Medina SidoniaAlguien Azul RosaLa familia planea una escapada de 3 días a Medina-Sidonia, Cádiz. Su itinerario incluye visitar varios castillos históricos como parte de la Ruta de los Castillos, hacer un paseo en globo para admirar las vistas, jugar paintball, y probar la gastronomía local en restaurantes. El presupuesto total para las actividades y alojamiento es de 362 dólares.
shashank_spdp1993_00395543Shashank NemawarkarThis document presents an analytical model to evaluate the performance of multithreaded multiprocessors with distributed shared memory. The model uses a multi-chain closed queuing network to model the processor, memory, and network subsystems in an integrated manner. This captures the strong coupling between subsystems. The model shows that high performance is achieved when the memory request rate matches the weighted sum of memory bandwidth and average remote memory access distance. The model is validated using a stochastic timed Petri net model.
Wildfire risk map nrsc2GeoMedeelelThis document describes a study that used remote sensing and spatial multi-criteria analysis to create a wildfire risk map of eastern Mongolia. Eleven factors related to environment, climate, fire history and socioeconomics were used as inputs and assigned weights. These included land cover, slope, temperature, rainfall, fire frequency and distance to roads. The factors were analyzed spatially to produce a map dividing the study area into five risk categories. The map was validated against historical burn areas with 62% accuracy. The final risk map is intended to help fire prevention planning and resource allocation.
Info gdal 20150915GeoMedeelelGDAL (Geospatial Data Abstraction Library) is a translator library for raster and vector geospatial data formats. It supports over 140 raster and vector data formats and has tools for data translation and processing. Key GDAL utilities include gdalinfo for reporting metadata, gdal_translate for format conversion, gdalwarp for image warping and projection changes, and gdal_merge for mosaicking multiple rasters. GDAL is open source and works across many operating systems.
Presentation 20220316 nandiaGeoMedeelelThis document outlines a study to estimate above-ground biomass and carbon stock in boreal forests in Mongolia using satellite data and machine learning. Boreal forests cover about 9.2% of Mongolia but have been declining in recent decades. The study aims to develop a suitable machine learning model to map forest biomass and carbon stock. Random forest was the best performing model with an R2 of 0.24 and RMSE of 33 Mg/ha. Important input features included shortwave infrared band 1, green leaf index, and radar polarization data. The predicted forest biomass ranged from 32.5-122.5 Mg/ha and carbon stock ranged from 16.5-62.5 Mg C/ha. Some reference
Drone 20201216GeoMedeelelThe document outlines a study that uses multispectral drones and ground sampling to collect vegetation data from pasture sites over three sampling periods in June, July, and August. Various vegetation indices will be calculated from the drone and ground spectrometer data to analyze changes in biomass, chlorophyll content, and other vegetation metrics over time. A total of 285 sample points will be collected and various biophysical parameters will be measured at each point to analyze temporal changes in pasture sites.
Intro mga 15dec2021 (1)GeoMedeelelThe Mongolian Geospatial Association has a board that executes the CEO and Secretary. It has 9 technical commissions and 3 member communities. The association has regular, student, institutional, honorary, and advisory members. It partners internationally and participates in activities in countries like the US, UAE, Taiwan, South Korea, and others. In 2021, the association held webinars, talks, workshops and participated in a United Nations workshop on GNSS applications. It celebrates GIS day and holds monthly geo-meetings and quarterly geo-forums.
Chcnav moblie mapping solution2GeoMedeelelThe document provides an overview of CHCNAV's AlphaUni 300/900/1300 mobile mapping solutions. It describes the key features and performance specifications of the AlphaUni series, including its universal lidar platform design, accuracy levels, data storage capabilities, and compatibility with various installation methods for airborne, vehicle, boat, and backpack use cases. The document also introduces CHC's new BB4 UAV platform as a high-payload professional solution for airborne lidar applications.
Intro mga 18may2021GeoMedeelelMongolia has been involved in space technology since 1965 under the INTERCOSMOS program. The first satellite data receiving station and weather satellite ground station were established in 1970. In 1981, J. Gurragchaa became the first Mongolian cosmonaut. In 2017, Mazaalai, Mongolia's first satellite, was launched into space.
The Space Technology Association of Mongolia is the main organization related to space technology. It has a board, CEO, secretary and various technical commissions. Members include students, regular members, institutions and honorary members. The association partners with space organizations in countries around the world and participates in international conferences and workshops on space technology.
Intro mga 14apr2021GeoMedeelelMongolia began developing space technology in 1965 under the INTERCOSMOS program. Some key early developments included establishing the first satellite data receiving station in 1970 and a meteorological satellite data station. The first Mongolian cosmonaut launched in 1981. More recently, Mongolia launched its first satellite, Mazaalai, in 2017.
The Association of Mongolian Geodesy and Cartography brings together members involved in fields like photogrammetry, GIS, and surveying. It has over 1500 members across categories like students, institutions, and honorary members. The Association partners with space technology organizations internationally and runs various events and programs.
Demonstration of super map ai gis technology GeoMedeelelThis document demonstrates SuperMap's AI GIS technology. It discusses geospatial deep learning and the AI GIS workflow, including data acquisition and preparation, model building and management, and model application. It provides examples of using deep learning models for tasks like object detection, segmentation, and classification of imagery. The workflow and tools for training models with SuperMap software and deploying trained models as web services are also described. A case study on building extraction is presented to illustrate the full AI GIS process.
Supermap gis 10i(2020) ai gis technology v1.0GeoMedeelelThis document provides information about SuperMap Software Co., Ltd. It includes:
1. Background information on SuperMap such as its founding date and headquarters location.
2. Market share data showing SuperMap has the largest share of the GIS software market in China.
3. An overview of SuperMap's products and technologies including distributed GIS, cross-platform GIS, 3D GIS, big data GIS, and AI GIS.