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The document describes a site suitability analysis conducted to identify a suitable location for a new daycare center. Criteria for suitable sites included a population density over 5 people per acre, over 10% of the population under age 6, and a median household income over $35,000. Using GIS analysis, census tracts meeting the criteria were identified and a 1-mile buffer was created around existing daycare centers. The results recommended a point outside the buffer zones as a suitable location for a new daycare center.
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BREWSTER_K_poster
This study used hyperspectral imagery from NASA's G-LiHT airborne sensor to map land cover types at Brookhaven National Laboratory. Researchers classified imagery into six cover classes - pine, oak, grass - using spectral angle mapper and maximum likelihood classification in ENVI. Field data on plant species and characteristics were collected and used to validate the classifications. Spectral angle mapper produced a more accurate land cover map than maximum likelihood for this high resolution hyperspectral data. Future work could combine hyperspectral and LiDAR data to better distinguish vegetation types.
Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery
Operational Data Fusion Framework for Building Frequent Land sat-Like ImageryKaashivInfoTech Company
An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery.
The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework.
These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework.
The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.
When MODIS and Landsat reflectances were consistent, the max- imum difference of the predicted results for all Landsat spectral bands, except the blue band, was about 0.007 (or 5.1% relatively). However, differences were larger (0.026 in absolute and 13.8% in relative, except the blue band) when two data sources were inconsistent.
In an extreme case, the difference for blue-band reflectancewasaslargeas0.029(or39.1%relatively).Case studies focused on monitoring vegetation condition in central India and the Hindu Kush Himalayan region. In general, spatial and tem- poral landscape variation could be identified with a high level of detail from the fused data. Vegetation index trajectories derived from the fused products could be associated with specific land cover types that occur in the study regions.
The operational data fusion framework provides a feasible and cost-effective way to build dense time-series images at Landsat spatial resolution for cloudy regions.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/Predicting Plant Growth
Three projects developed methods for evaluating plant suitability for regions and sites. They focused on forestry in developing countries but the methods can apply more broadly. Key methods included developing climatic interpolation relationships, climatic mapping programs to indicate suitable planting areas, the Plantgro simulation model to estimate growth at specific sites, and simulation mapping programs to predict growth across large areas. While more validation is needed, these programs provide a useful basis for selecting species and provenances for different regions.
Remote sensing and mapping tool development of NFA Project in Vietnam
The document summarizes remote sensing and mapping tool development by the National Forest Administration (NFA) project in Vietnam to support national forest inventories, statistics programs, and REDD+ monitoring requirements. Key activities included:
1) Developing land use and forest type classification methods using SPOT-5 and DMC satellite imagery to map resources on national and local levels.
2) Creating forest distribution maps and a centralized forestry database to provide statistical data.
3) Developing change detection tools to monitor land use and forest type changes over time to support reporting under NFI Cycle 5 and REDD+.
Generating Training Data from Noisy Measrements
This document discusses generating training data for machine learning models from noisy measurements of land cover classifications. It describes a workflow that uses Sentinel-2 satellite imagery and GlobeLand30 land cover labels to train a random forests model for land cover classification. Key points include:
- Sentinel-2 and GlobeLand30 data are used as input, with GlobeLand30 labels filtered and resampled to the Sentinel-2 grid to create reference labels.
- A random forests model is trained separately for each Sentinel-2 scene using stratified samples of pixels.
- Initial results show 88.75% average accuracy across scenes, with some classes like water predicting well and others like wetlands being more difficult.
A0311020109
The document compares the use of ordinary least squares (OLS) regression and geographically weighted regression (GWR) to model and estimate electricity distribution patterns using land use and demographic data. OLS regression provided moderately good results with an R2 value of 31.9% but showed spatial autocorrelation. GWR accounted for spatial non-stationarity and provided better results with an R2 of 51.65%. GWR also had a lower Akaike information criterion score, indicating it was a better model. The study area of Manali, India was classified into land use types from satellite imagery and population growth was also considered. GWR was found to provide a more effective model for estimating patterns of low tension electricity distribution networks
Presentation adv gis 08 01-2014
This document outlines a study that used spatial interpolation methods to estimate electric field intensity values across a 2.64 square kilometer pilot area in Caracas, Venezuela. 206 measurement points were collected over 30 days and spatial interpolation was performed using inverse distance weighting (IDW), spline, and kriging methods. The results showed that IDW interpolation produced the best estimates of electric field intensity compared to the measured data, with the lowest errors and closest fit to the actual values based on error and fit measures. Therefore, the study concluded IDW was the most accurate spatial interpolation method for estimating electric field intensity across the study area.
Application of web ontology to harvest estimation of rice in thailand
Application of web ontology to harvest estimation of rice in thailandAIMS (Agricultural Information Management Standards)
This document discusses using ontologies and semantic web technologies to integrate heterogeneous agricultural data sources for estimating rice harvests in Thailand. It describes using an ontology registry and integrated ontologies to combine satellite imagery, digital elevation models, land use maps, field survey data, meteorological data, and rice growth models. The goal is to develop a data integration environment to estimate rice harvests using small, distributed agricultural databases from various sources.Recommended
BREWSTER_K_poster
This study used hyperspectral imagery from NASA's G-LiHT airborne sensor to map land cover types at Brookhaven National Laboratory. Researchers classified imagery into six cover classes - pine, oak, grass - using spectral angle mapper and maximum likelihood classification in ENVI. Field data on plant species and characteristics were collected and used to validate the classifications. Spectral angle mapper produced a more accurate land cover map than maximum likelihood for this high resolution hyperspectral data. Future work could combine hyperspectral and LiDAR data to better distinguish vegetation types.
Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery
Operational Data Fusion Framework for Building Frequent Land sat-Like ImageryKaashivInfoTech Company
An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery.
The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework.
These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework.
The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.
When MODIS and Landsat reflectances were consistent, the max- imum difference of the predicted results for all Landsat spectral bands, except the blue band, was about 0.007 (or 5.1% relatively). However, differences were larger (0.026 in absolute and 13.8% in relative, except the blue band) when two data sources were inconsistent.
In an extreme case, the difference for blue-band reflectancewasaslargeas0.029(or39.1%relatively).Case studies focused on monitoring vegetation condition in central India and the Hindu Kush Himalayan region. In general, spatial and tem- poral landscape variation could be identified with a high level of detail from the fused data. Vegetation index trajectories derived from the fused products could be associated with specific land cover types that occur in the study regions.
The operational data fusion framework provides a feasible and cost-effective way to build dense time-series images at Landsat spatial resolution for cloudy regions.
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/Predicting Plant Growth
Three projects developed methods for evaluating plant suitability for regions and sites. They focused on forestry in developing countries but the methods can apply more broadly. Key methods included developing climatic interpolation relationships, climatic mapping programs to indicate suitable planting areas, the Plantgro simulation model to estimate growth at specific sites, and simulation mapping programs to predict growth across large areas. While more validation is needed, these programs provide a useful basis for selecting species and provenances for different regions.
Remote sensing and mapping tool development of NFA Project in Vietnam
The document summarizes remote sensing and mapping tool development by the National Forest Administration (NFA) project in Vietnam to support national forest inventories, statistics programs, and REDD+ monitoring requirements. Key activities included:
1) Developing land use and forest type classification methods using SPOT-5 and DMC satellite imagery to map resources on national and local levels.
2) Creating forest distribution maps and a centralized forestry database to provide statistical data.
3) Developing change detection tools to monitor land use and forest type changes over time to support reporting under NFI Cycle 5 and REDD+.
Generating Training Data from Noisy Measrements
This document discusses generating training data for machine learning models from noisy measurements of land cover classifications. It describes a workflow that uses Sentinel-2 satellite imagery and GlobeLand30 land cover labels to train a random forests model for land cover classification. Key points include:
- Sentinel-2 and GlobeLand30 data are used as input, with GlobeLand30 labels filtered and resampled to the Sentinel-2 grid to create reference labels.
- A random forests model is trained separately for each Sentinel-2 scene using stratified samples of pixels.
- Initial results show 88.75% average accuracy across scenes, with some classes like water predicting well and others like wetlands being more difficult.
A0311020109
The document compares the use of ordinary least squares (OLS) regression and geographically weighted regression (GWR) to model and estimate electricity distribution patterns using land use and demographic data. OLS regression provided moderately good results with an R2 value of 31.9% but showed spatial autocorrelation. GWR accounted for spatial non-stationarity and provided better results with an R2 of 51.65%. GWR also had a lower Akaike information criterion score, indicating it was a better model. The study area of Manali, India was classified into land use types from satellite imagery and population growth was also considered. GWR was found to provide a more effective model for estimating patterns of low tension electricity distribution networks
Presentation adv gis 08 01-2014
This document outlines a study that used spatial interpolation methods to estimate electric field intensity values across a 2.64 square kilometer pilot area in Caracas, Venezuela. 206 measurement points were collected over 30 days and spatial interpolation was performed using inverse distance weighting (IDW), spline, and kriging methods. The results showed that IDW interpolation produced the best estimates of electric field intensity compared to the measured data, with the lowest errors and closest fit to the actual values based on error and fit measures. Therefore, the study concluded IDW was the most accurate spatial interpolation method for estimating electric field intensity across the study area.
Application of web ontology to harvest estimation of rice in thailand
Application of web ontology to harvest estimation of rice in thailandAIMS (Agricultural Information Management Standards)
This document discusses using ontologies and semantic web technologies to integrate heterogeneous agricultural data sources for estimating rice harvests in Thailand. It describes using an ontology registry and integrated ontologies to combine satellite imagery, digital elevation models, land use maps, field survey data, meteorological data, and rice growth models. The goal is to develop a data integration environment to estimate rice harvests using small, distributed agricultural databases from various sources.Application of web ontology to harvest estimation of rice in Thailand
Application of web ontology to harvest estimation of rice in ThailandAIMS (Agricultural Information Management Standards)
Authors: Takuji Kiura, Hitoshi. Toritani, Daisuke Horyu, Atsushi Yamakawa, Seishi Ninomiya
Organization: National Institute for Agro-Environmental ScienceRemote Sensing: Overlay Analysis
An overlay operation is much more than a simple merging of linework; all the attributes of the features taking part in the overlay are carried through. In general, there are two methods for performing overlay analysis—feature overlay (overlaying points, lines, or polygons) and raster overlay. Some types of overlay analysis lend themselves to one or the other of these methods. Overlay analysis to find locations meeting certain criteria is often best done using raster overlay (although you can do it with feature data). Of course, this also depends on whether your data is already stored as features or raster. It may be worthwhile to convert the data from one format to the other to perform the analysis.
Weighted Overlay
Overlays several raster files using a common measurement scale and weights each according to its importance.
The weighted overlay table allows the calculation of a multiple criteria analysis between several raster files.
Raster- The raster of the criteria being weighted.
Influence- The influence of the raster compared to the other criteria as a percentage of 100.
Field- The field of the criteria raster to use for weighting.
Remap- The scaled weights for the criterion.
In addition to numerical values for the scaled weights in Remap, the following options are available:
Restricted- Assigns the restricted value (the minimum value of the evaluation scale set, minus one) to cells in the output, regardless of whether other input raster files have a different scale value set for that cell.
No data - Assigns No Data to cells in the output, regardless of whether other input raster files have a different scale value set for that cell.
THIS PRESENTATION IS TO HELP YOU PERFORM THE TASK STEP BY STEP.
Fu etal-2010
The document discusses the inverse scattering series (ISS) approach for eliminating internal multiples in land seismic data. ISS methods do not require information about the subsurface and can predict the traveltimes and amplitudes of all internal multiples. The authors apply 1D and 1.5D ISS algorithms to synthetic and field data from Saudi Arabia and achieve encouraging results, successfully attenuating most internal multiples while preserving primaries. However, further work is needed to more accurately predict multiples to handle interference between primaries and multiples.
Aihua Li_WE_T05_3.pptx
This document summarizes a study that used Bayesian Maximum Entropy (BME) data fusion to combine field-observed leaf area index (LAI) measurements and Landsat-derived LAI. BME was used to account for uncertainties in the data. LAI was predicted for three sites using BME and interval and probabilistic soft data. Results showed BME predictions had higher correlation and lower root mean square error compared to Landsat LAI. BME reduced bias and variance compared to Landsat-derived LAI alone. While BME effectively combined data scales and uncertainties, future work should avoid using some field data for both validation and inversion.
Crop predction ppt using ANN
The document summarizes a seminar presentation on crop prediction using an artificial neural network approach. It discusses using parameters like soil pH, nitrogen, phosphate, potassium, sunshine hours, rainfall and temperature as inputs to an ANN model to predict suitable crops. The backpropagation algorithm is used to train the multi-layer neural network to minimize error. The design flow involves data collection, building a prediction model through classification, and suggesting fertilizers. Future work may include developing regional language applications, detecting crop diseases, considering more parameters, and providing micronutrient information. The ANN approach is concluded to be a beneficial tool for crop prediction.
Photometric Stereo in Participating Media Considering Shape-Dependent Forward...
Slide of the oral presentation for "Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter" in CVPR 2018
Data analysis of weather forecasting
Performed analysis on Temperature, Wind Speed, Humidity and Pressure data-sets and implemented decision tree & clustering to predict possibility of rain
Created graphs and plots using algorithms such as k-nearest neighbors, naïve bayes, decision tree and k means clustering
Geographical information system
This document discusses various GIS analysis techniques including buffering, overlay, and distance measurement. Buffering creates zones around features, which can be used for planning purposes like restricting certain land uses near schools. Overlay combines data layers by joining features that occupy the same space. Feature overlay splits features where they overlap, while raster overlay combines characteristics across layers. Overlay is useful for queries and modeling. Distance measurement finds straight-line distances between features for analysis and pattern detection.
Forest Change Detection in incomplete satellite images with deep neural networks
This document discusses a method for detecting forest change using deep neural networks on incomplete satellite images. It proposes using a three-stage process to recover missing and cloudy data by exploiting temporal redundancy. A deep CNN is then used to classify candidate image regions as changed or unchanged based on spatial and temporal contextual information from multiple time periods. The method is able to precisely localize and time stamp detected changes within a few months. Evaluation on Australian satellite imagery shows the approach can effectively detect fires and harvest areas.
Chap02 01
This document discusses various ways to organize and summarize qualitative data, including through frequency distributions, relative frequency distributions, bar graphs, Pareto charts, and pie charts. It provides examples of constructing each of these to organize and visualize a dataset on the colors of M&Ms and US energy consumption in 1980 and 1999. Organizing data allows it to be more easily understood and compared.
GIS in land suitability mapping
This document describes a practical demonstration on using GIS for land suitability mapping for precision farming. The goals of the demonstration are to identify areas suitable, moderately suitable, and highly suitable for crop production based on soil characteristics. The demonstration will use ArcGIS to interpolate soil property rasters from sample data, reclassify the rasters into classes, overlay the reclassified rasters to combine criteria, and label the final overlay classes as the soil suitability map.
Analysis of crop yield prediction using data mining techniques
Abstract
Agrarian sector in India is facing rigorous problem to maximize the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. The problem of yield prediction is a major problem that remains to be solved based on available data. Data Mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. This paper presents a brief analysis of crop yield prediction using Multiple Linear Regression (MLR) technique and Density based clustering technique for the selected region i.e. East Godavari district of Andhra Pradesh in India.
Keywords: Agrarian Sector, Crop Production, Data Mining, Density based clustering, Information Technology, Multiple Linear Regression, Yield Prediction.
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and ...
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and ...Technological Ecosystems for Enhancing Multiculturality
This document describes the GFA Open Data repository, which contains meteorological data from various sources to support research and education. The repository collects data from weather stations, risk management organizations, volunteers, and the Atmospheric Physics Group. It uses a data model and architecture to organize the data and make it accessible. The document highlights several research and educational applications that analyze hail, satellite-derived precipitation, and weather forecast model output using the repository. It concludes that the repository is a powerful research tool and has high potential to support meteorology teaching.Spatial Data Mining : Seminar
This document summarizes research on discovering spatial co-location patterns from geospatial data. It discusses how spatial data mining differs from classical data mining by considering attribute relationships between neighboring spatial objects. The paper focuses on extracting frequent co-occurrence rules between boolean spatial features from ecological datasets. It presents three approaches for modeling co-location rules problems - reference feature centric, window centric, and event centric. The Co-location Miner algorithm is introduced for mining co-location rules that satisfy minimum prevalence and conditional probability thresholds from the data.
Strength of widefield microscope
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test
This document describes a new robust fixed rank kriging (R-FRK) method for improving the spatial completeness and accuracy of satellite sea surface temperature (SST) products. The R-FRK method addresses two key issues: 1) it allows for dimension reduction kriging to be applied to satellite SST data over irregular regions, and 2) it incorporates a data-driven bias correction model to address systematic biases in the satellite SST measurements. The method is applied to Moderate Resolution Imaging Spectroradiometer (MODIS) SST data from 2003 and 2010. Validation using drifting buoy observations shows the method produces spatially complete SST fields with high accuracy.
Relative value of radar and optical data for land cover/use mapping: Peru exa...
This study determined using divergence measures the best indivi- dual and combinations of various numbers of bands for six land cover/use classes around the city of Arequipa, Peru. A 15 band data stack consisting of PALSAR L-band dual-polarised radar, Landsat optical data, as well as six variance texture measures extracted from the PALSAR images, was used in this study. Spectral signatures were obtained for each class for the diver- gence examination. The band having the highest separability was the Landsat visible red band followed by the two largest window PALSAR texture measures. The best three band combina- tion included three very different data types, Landsat visible red, near infrared and the PALSAR HH variance texture from a 17 × 17 pixel window. There was no need based upon the diver- gence values to use more than five bands for classification.
IRJET- Agricultural Crop Yield Prediction using Deep Learning Approach
This document discusses using artificial neural networks to predict agricultural crop yields. It begins with an abstract that outlines using ANNs to predict crop yield given various input parameters like soil pH, nitrogen levels, temperature, rainfall, etc. It then provides an introduction on the importance of accurate crop yield prediction. The next sections discuss literature on previous ANN crop yield prediction models, the proposed ANN approach including network architecture and activation functions, the design process, and conclusions. The key points are that ANNs can accurately predict crop yields given various climatic and soil inputs, and providing farmers with these predictions could help maximize profits and minimize losses.
Solar trackersolution
The document discusses a solar resource lab where students learn to:
1. Forecast seasonal and daily solar insolation levels using clear-sky models and validate with measurements.
2. Estimate errors in their models by comparing to pyrheliometer and pyranometer readings.
3. Identify sources of error and derive optimal parameter estimates to improve their models.
Sim-to-Real Transfer in Deep Reinforcement Learning
This document discusses sim-to-real transfer in deep reinforcement learning. Deep RL can train robots by overcoming data inefficiency and collection costs through potentially infinite simulated data. However, there is performance degradation when transferring policies learned in simulation to the real world due to differences between the environments. Common methods for sim-to-real transfer include domain randomization, domain adaptation, and introducing disturbances to simulations to minimize mismatches with reality. Challenges include determining effective randomizations and unifying feature spaces between domains.
NDGISUC2017 - Addressing Geographic Disparities in Access to Ambulance Services
This document discusses a study that aimed to address geographic disparities in ambulance access in a Midwestern state in a cost-effective manner. The researchers developed a methodology to identify the optimal locations and minimum number of ambulance services needed to ensure all residents were within 25 miles of service while minimizing costs. Their analysis found that an optimized system of 105 services could fully cover the state at a lower overall cost than the existing 134 services. The researchers conclude their approach can help strategic planning by understanding the resource requirements and potential cost savings of addressing gaps in emergency response coverage.
Fuzzy C-means clustering on rainfall flow optimization technique for medical ...
Due to various killing diseases in the world, medical data clustering is a very
challenging and critical task to handle and to take the proper decision from
multidimensional complex data in an effective manner. The most familiar
and suitable speedy clustering algorithm is K-means than other traditional
clustering approaches. But K-means is extra sensitive for initialization of
clustering centroid and it can easily surround. Thus, there is a necessity for
faster clustering with an effective optimum clustering centroid. Based on
that, this research paper projected an optimization-based clustering by hybrid
fuzzy C-means (FCM) clustering on rainfall flow optimization technique
(RFFO), which is the normal flow and behavior of rainfall flow from one
position to another position. FCM clustering algorithm is used to cluster the
given medical data and RFFO is used to produce optimum clustering
centroid. Finally, the clustering performance is also measured for the
proposed FCM clustering on RFFO technique with the help of accuracy,
random coefficient, and Jaccard coefficient for medical data set and find the
risk factor of a heart attack.
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Application of web ontology to harvest estimation of rice in Thailand
Application of web ontology to harvest estimation of rice in ThailandAIMS (Agricultural Information Management Standards)
Authors: Takuji Kiura, Hitoshi. Toritani, Daisuke Horyu, Atsushi Yamakawa, Seishi Ninomiya
Organization: National Institute for Agro-Environmental ScienceRemote Sensing: Overlay Analysis
An overlay operation is much more than a simple merging of linework; all the attributes of the features taking part in the overlay are carried through. In general, there are two methods for performing overlay analysis—feature overlay (overlaying points, lines, or polygons) and raster overlay. Some types of overlay analysis lend themselves to one or the other of these methods. Overlay analysis to find locations meeting certain criteria is often best done using raster overlay (although you can do it with feature data). Of course, this also depends on whether your data is already stored as features or raster. It may be worthwhile to convert the data from one format to the other to perform the analysis.
Weighted Overlay
Overlays several raster files using a common measurement scale and weights each according to its importance.
The weighted overlay table allows the calculation of a multiple criteria analysis between several raster files.
Raster- The raster of the criteria being weighted.
Influence- The influence of the raster compared to the other criteria as a percentage of 100.
Field- The field of the criteria raster to use for weighting.
Remap- The scaled weights for the criterion.
In addition to numerical values for the scaled weights in Remap, the following options are available:
Restricted- Assigns the restricted value (the minimum value of the evaluation scale set, minus one) to cells in the output, regardless of whether other input raster files have a different scale value set for that cell.
No data - Assigns No Data to cells in the output, regardless of whether other input raster files have a different scale value set for that cell.
THIS PRESENTATION IS TO HELP YOU PERFORM THE TASK STEP BY STEP.
Fu etal-2010
The document discusses the inverse scattering series (ISS) approach for eliminating internal multiples in land seismic data. ISS methods do not require information about the subsurface and can predict the traveltimes and amplitudes of all internal multiples. The authors apply 1D and 1.5D ISS algorithms to synthetic and field data from Saudi Arabia and achieve encouraging results, successfully attenuating most internal multiples while preserving primaries. However, further work is needed to more accurately predict multiples to handle interference between primaries and multiples.
Aihua Li_WE_T05_3.pptx
This document summarizes a study that used Bayesian Maximum Entropy (BME) data fusion to combine field-observed leaf area index (LAI) measurements and Landsat-derived LAI. BME was used to account for uncertainties in the data. LAI was predicted for three sites using BME and interval and probabilistic soft data. Results showed BME predictions had higher correlation and lower root mean square error compared to Landsat LAI. BME reduced bias and variance compared to Landsat-derived LAI alone. While BME effectively combined data scales and uncertainties, future work should avoid using some field data for both validation and inversion.
Crop predction ppt using ANN
The document summarizes a seminar presentation on crop prediction using an artificial neural network approach. It discusses using parameters like soil pH, nitrogen, phosphate, potassium, sunshine hours, rainfall and temperature as inputs to an ANN model to predict suitable crops. The backpropagation algorithm is used to train the multi-layer neural network to minimize error. The design flow involves data collection, building a prediction model through classification, and suggesting fertilizers. Future work may include developing regional language applications, detecting crop diseases, considering more parameters, and providing micronutrient information. The ANN approach is concluded to be a beneficial tool for crop prediction.
Photometric Stereo in Participating Media Considering Shape-Dependent Forward...
Slide of the oral presentation for "Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter" in CVPR 2018
Data analysis of weather forecasting
Performed analysis on Temperature, Wind Speed, Humidity and Pressure data-sets and implemented decision tree & clustering to predict possibility of rain
Created graphs and plots using algorithms such as k-nearest neighbors, naïve bayes, decision tree and k means clustering
Geographical information system
This document discusses various GIS analysis techniques including buffering, overlay, and distance measurement. Buffering creates zones around features, which can be used for planning purposes like restricting certain land uses near schools. Overlay combines data layers by joining features that occupy the same space. Feature overlay splits features where they overlap, while raster overlay combines characteristics across layers. Overlay is useful for queries and modeling. Distance measurement finds straight-line distances between features for analysis and pattern detection.
Forest Change Detection in incomplete satellite images with deep neural networks
This document discusses a method for detecting forest change using deep neural networks on incomplete satellite images. It proposes using a three-stage process to recover missing and cloudy data by exploiting temporal redundancy. A deep CNN is then used to classify candidate image regions as changed or unchanged based on spatial and temporal contextual information from multiple time periods. The method is able to precisely localize and time stamp detected changes within a few months. Evaluation on Australian satellite imagery shows the approach can effectively detect fires and harvest areas.
Chap02 01
This document discusses various ways to organize and summarize qualitative data, including through frequency distributions, relative frequency distributions, bar graphs, Pareto charts, and pie charts. It provides examples of constructing each of these to organize and visualize a dataset on the colors of M&Ms and US energy consumption in 1980 and 1999. Organizing data allows it to be more easily understood and compared.
GIS in land suitability mapping
This document describes a practical demonstration on using GIS for land suitability mapping for precision farming. The goals of the demonstration are to identify areas suitable, moderately suitable, and highly suitable for crop production based on soil characteristics. The demonstration will use ArcGIS to interpolate soil property rasters from sample data, reclassify the rasters into classes, overlay the reclassified rasters to combine criteria, and label the final overlay classes as the soil suitability map.
Analysis of crop yield prediction using data mining techniques
Abstract
Agrarian sector in India is facing rigorous problem to maximize the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. The problem of yield prediction is a major problem that remains to be solved based on available data. Data Mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. This paper presents a brief analysis of crop yield prediction using Multiple Linear Regression (MLR) technique and Density based clustering technique for the selected region i.e. East Godavari district of Andhra Pradesh in India.
Keywords: Agrarian Sector, Crop Production, Data Mining, Density based clustering, Information Technology, Multiple Linear Regression, Yield Prediction.
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and ...
Atmospheric Physics Group Open Data (GFA Open Data): Meteorological data and ...Technological Ecosystems for Enhancing Multiculturality
This document describes the GFA Open Data repository, which contains meteorological data from various sources to support research and education. The repository collects data from weather stations, risk management organizations, volunteers, and the Atmospheric Physics Group. It uses a data model and architecture to organize the data and make it accessible. The document highlights several research and educational applications that analyze hail, satellite-derived precipitation, and weather forecast model output using the repository. It concludes that the repository is a powerful research tool and has high potential to support meteorology teaching.Spatial Data Mining : Seminar
This document summarizes research on discovering spatial co-location patterns from geospatial data. It discusses how spatial data mining differs from classical data mining by considering attribute relationships between neighboring spatial objects. The paper focuses on extracting frequent co-occurrence rules between boolean spatial features from ecological datasets. It presents three approaches for modeling co-location rules problems - reference feature centric, window centric, and event centric. The Co-location Miner algorithm is introduced for mining co-location rules that satisfy minimum prevalence and conditional probability thresholds from the data.
Strength of widefield microscope
Widefield microscopy provides high quality multi-color fluorescence imaging comparable to confocal microscopy but in a more time efficient and cost effective manner. A motorized stage and integrated software allow multi-color imaging of up to three stains on fixed bovine cells in less time than a confocal. Quantitative analysis tools within the software allow measurement of fluorescence intensity, distribution and 3D reconstruction from z-stack images. Widefield microscopy is thus a suitable alternative to confocal microscopy for quantitative fluorescence applications.
test
This document describes a new robust fixed rank kriging (R-FRK) method for improving the spatial completeness and accuracy of satellite sea surface temperature (SST) products. The R-FRK method addresses two key issues: 1) it allows for dimension reduction kriging to be applied to satellite SST data over irregular regions, and 2) it incorporates a data-driven bias correction model to address systematic biases in the satellite SST measurements. The method is applied to Moderate Resolution Imaging Spectroradiometer (MODIS) SST data from 2003 and 2010. Validation using drifting buoy observations shows the method produces spatially complete SST fields with high accuracy.
Relative value of radar and optical data for land cover/use mapping: Peru exa...
This study determined using divergence measures the best indivi- dual and combinations of various numbers of bands for six land cover/use classes around the city of Arequipa, Peru. A 15 band data stack consisting of PALSAR L-band dual-polarised radar, Landsat optical data, as well as six variance texture measures extracted from the PALSAR images, was used in this study. Spectral signatures were obtained for each class for the diver- gence examination. The band having the highest separability was the Landsat visible red band followed by the two largest window PALSAR texture measures. The best three band combina- tion included three very different data types, Landsat visible red, near infrared and the PALSAR HH variance texture from a 17 × 17 pixel window. There was no need based upon the diver- gence values to use more than five bands for classification.
IRJET- Agricultural Crop Yield Prediction using Deep Learning Approach
This document discusses using artificial neural networks to predict agricultural crop yields. It begins with an abstract that outlines using ANNs to predict crop yield given various input parameters like soil pH, nitrogen levels, temperature, rainfall, etc. It then provides an introduction on the importance of accurate crop yield prediction. The next sections discuss literature on previous ANN crop yield prediction models, the proposed ANN approach including network architecture and activation functions, the design process, and conclusions. The key points are that ANNs can accurately predict crop yields given various climatic and soil inputs, and providing farmers with these predictions could help maximize profits and minimize losses.
Solar trackersolution
The document discusses a solar resource lab where students learn to:
1. Forecast seasonal and daily solar insolation levels using clear-sky models and validate with measurements.
2. Estimate errors in their models by comparing to pyrheliometer and pyranometer readings.
3. Identify sources of error and derive optimal parameter estimates to improve their models.
Sim-to-Real Transfer in Deep Reinforcement Learning
This document discusses sim-to-real transfer in deep reinforcement learning. Deep RL can train robots by overcoming data inefficiency and collection costs through potentially infinite simulated data. However, there is performance degradation when transferring policies learned in simulation to the real world due to differences between the environments. Common methods for sim-to-real transfer include domain randomization, domain adaptation, and introducing disturbances to simulations to minimize mismatches with reality. Challenges include determining effective randomizations and unifying feature spaces between domains.
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Application of web ontology to harvest estimation of rice in Thailand
Application of web ontology to harvest estimation of rice in Thailand
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NDGISUC2017 - Addressing Geographic Disparities in Access to Ambulance Services
This document discusses a study that aimed to address geographic disparities in ambulance access in a Midwestern state in a cost-effective manner. The researchers developed a methodology to identify the optimal locations and minimum number of ambulance services needed to ensure all residents were within 25 miles of service while minimizing costs. Their analysis found that an optimized system of 105 services could fully cover the state at a lower overall cost than the existing 134 services. The researchers conclude their approach can help strategic planning by understanding the resource requirements and potential cost savings of addressing gaps in emergency response coverage.
Fuzzy C-means clustering on rainfall flow optimization technique for medical ...
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and suitable speedy clustering algorithm is K-means than other traditional
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Systematic Approch to a GIS
This document provides a systematic guide to setting up a GIS project to collect data in the field using ESRI Collector and a Bad Elf Bluetooth GPS receiver. It describes creating a geodatabase with domains and feature datasets, importing National Geodetic Survey monument data, collecting data on the monuments using Collector and Bad Elf, and performing an accuracy analysis to determine if the Bad Elf receiver can achieve 1 meter accuracy. The results of the accuracy analysis are represented cartographically and published to ArcGIS Online.
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The document analyzes crop yield data from spatial locations in Guntur District, Andhra Pradesh, India using hybrid data mining techniques. It first applies k-means clustering to the dataset, producing 5 clusters. It then applies the J48 classification algorithm to the clustered data, resulting in a decision tree that predicts cluster membership based on attributes like crop type, irrigated area, and latitude. Analysis found irrigated areas of cotton and chilies increased from 2007-2008 to 2011-2012. Association rule mining on the clustered data also found relationships between productivity and location attributes. The hybrid approach of clustering followed by classification effectively analyzed the spatial agricultural data.
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This document discusses methods for delineating regions, including traditional and scientific methods. It focuses on factor analysis, a statistical technique used to group variables into fewer factors. As an example, it outlines a case study that uses factor analysis to delineate socioeconomic regions in Kerala, India. The study selects variables from literature, conducts data analysis including outlier detection, then uses principal component analysis to group the variables into 5 meaningful factors that characterize the regions.
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This document describes a context-aware automatic traffic notification system for cell phones that can learn a user's common destinations and routes over time using location and context data. It collects GPS and other data from users, identifies important locations through clustering, learns frequent routes between locations, and can predict a user's destination and route to then notify them of any traffic conditions. The system is implemented on a mobile phone to provide automated traffic alerts to users during their daily commutes without needing to manually enter a destination.
Development of Effective Crop Monitoring and Management System with Weather R...
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Agricultural research has strengthened the optimized
economical profit, internationally and is very vast and
important field to gain more benefits.
In future agriculture is the only scope for all the people. But
today number of people having land, but they don’t know how
to yield the crops.
So many of people are doing useless agriculture by
cultivating the crop on improper soil. To implement the
application to identify the types of soil,water source of that
land whether that land is based on rain or bore water. And
suggest what of crop is suitable for that soil. So through this
application provide application for the people to know about
the agriculture. There is no any application to know about the
cultivation. However, it can be enhanced by the use of different
technological resources, tool, and procedures. Predict the type
of crop which one is suitable for that particular soil, weather
condition, temperature and so on. So for, using machine
learning with the set of data set are identified the crop for the
corresponding soil.
A GIS ANCHORED TECHNIQUE TO OBTAIN OPTIMAL PATH THROUGH MINIMAL ALTERATION OF...
This paper presented a technique to organize the digitized map of a very large area, using a flat-file system (without using databases); depicting necessary and useful information regarding land usage of the area,which can also be viewed as a land-type-data bank, where all the necessary information regarding the typeof the land, owner etc. are kept. While associating data with each individual region, a priority value is also incorporated, where a lower value of priority signifies, higher possibility of the land to be selected for acquisition. As per needs to acquire lands for the construction of new utility services such as railway tracks, roads etc., the technique, upon input the source and the destination location, suggests the most
suitable path, in terms of optimal costs, which is dependent on the parameters like compensation needed topay during land acquisition (compensation amount increases, for acquiring more fertile lands), the length of the path etc. The suggested optimal path is presented onto the map graphically assisting the engineers involved in the work for proper implementation and utilisation of the land.
A gis anchored technique to obtain optimal path through minimal alteration of...
This paper presented a technique to organize the digitized map of a very large area, using a flat-file system
(without using databases); depicting necessary and useful information regarding land usage of the area,
which can also be viewed as a land-type-data bank, where all the necessary information regarding the type
of the land, owner etc. are kept. While associating data with each individual region, a priority value is also
incorporated, where a lower value of priority signifies, higher possibility of the land to be selected for
acquisition. As per needs to acquire lands for the construction of new utility services such as railway
tracks, roads etc., the technique, upon input the source and the destination location, suggests the most
suitable path, in terms of optimal costs, which is dependent on the parameters like compensation needed to
pay during land acquisition (compensation amount increases, for acquiring more fertile lands), the length
of the path etc. The suggested optimal path is presented onto the map graphically assisting the engineers
involved in the work for proper implementation and utilisation of the land.
A HYBRID MODEL FOR MINING MULTI DIMENSIONAL DATA SETS
This paper presents a hybrid data mining approach based on supervised learning and unsupervised learning to identify the closest data patterns in the data base. This technique enables to achieve the maximum accuracy rate with minimal complexity. The proposed algorithm is compared with traditional clustering and classification algorithm and it is also implemented with multidimensional datasets. The implementation results show better prediction accuracy and reliability.
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This document summarizes research conducted using supercomputers to enable artificial intelligence applications for analyzing large earth science data. It discusses two major functions: designing efficient simulations and developing intelligent data mining methods. Specific projects are described, including simulating climate models on the Sunway TaihuLight, simulating earthquakes, and using remote sensing data and deep learning to map land cover more accurately, detect oil palm trees, and create more accurate urban land use maps. The research enables digital earth modeling to simulate, analyze, understand, predict, and mitigate earth science issues.
DIGITAL IMAGE ANALYSIS
This document discusses image classification and analysis techniques. It describes supervised classification where an analyst identifies training areas to classify pixels based on spectral information. Unsupervised classification uses clustering algorithms to automatically group spectrally similar pixels without training areas. Common classification procedures include supervised classification using training areas, unsupervised classification using clustering, and hybrid methods. Maximum likelihood and minimum distance are described as supervised classification algorithms.
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一比一原版（UWS毕业证）澳洲西悉尼大学毕业证如何办理
原件一模一样【微信：WP101A】【（UWS毕业证）澳洲西悉尼大学毕业证学位证成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理（UWS毕业证）澳洲西悉尼大学毕业证学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理（UWS毕业证）澳洲西悉尼大学毕业证学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理（UWS毕业证）澳洲西悉尼大学毕业证学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理（UWS毕业证）澳洲西悉尼大学毕业证学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(CSU毕业证书)查尔斯特大学毕业证如何办理
原件一模一样【微信：WP101A】【(CSU毕业证书)查尔斯特大学毕业证学位证成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理(CSU毕业证书)查尔斯特大学毕业证学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(CSU毕业证书)查尔斯特大学毕业证学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(CSU毕业证书)查尔斯特大学毕业证学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(CSU毕业证书)查尔斯特大学毕业证学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版南安普顿索伦特大学毕业证Southampton成绩单一模一样
原件一模一样【微信：6496090】【南安普顿索伦特大学毕业证Southampton学位证成绩单】【微信：6496090】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：6496090】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：6496090】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：6496090】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理南安普顿索伦特大学毕业证Southampton学位证【微信：6496090 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理南安普顿索伦特大学毕业证Southampton学位证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理南安普顿索伦特大学毕业证Southampton学位证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理南安普顿索伦特大学毕业证Southampton学位证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(UW毕业证书)华盛顿大学毕业证如何办理
原件一模一样【微信：WP101A】【(UW毕业证书)华盛顿大学毕业证学位证成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理(UW毕业证书)华盛顿大学毕业证学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(UW毕业证书)华盛顿大学毕业证学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(UW毕业证书)华盛顿大学毕业证学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(UW毕业证书)华盛顿大学毕业证学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Intel-Centrino-Mobile-Technology-guidelines
Trademark and logo usage guidelines for Intel Centrino Mobile Technology
一比一原版英国伦敦大学毕业证（London学位证）如何办理
原件一模一样【微信：WP101A】【英国伦敦大学毕业证（London学位证）学位证）成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理英国伦敦大学毕业证（London学位证）学位证）学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理英国伦敦大学毕业证（London学位证）学位证）学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理英国伦敦大学毕业证（London学位证）学位证）学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理英国伦敦大学毕业证（London学位证）学位证）学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
欧洲杯买球-欧洲杯买球买球网好的网站-欧洲杯买球哪里有正规的买球网站|【网址🎉ac123.net🎉】
【网址🎉ac123.net🎉】欧洲杯买球是独立的博彩公司。该公司最初专门从事在线体育博彩，现在合并了在线娱乐场。该公司最初成立时以其前董事长Victor Chandler的名字命名，之后更名为欧洲杯买球。欧洲杯买球现由商人和赛马主，迈克尔·塔博尔拥有，运营总部设在直布罗陀。平台拥有体育博彩（沙巴）、真人娱乐场、电子游戏、金融投注等游戏项目，支持手机投注，优惠活动很丰富。
一比一原版肯特大学毕业证UKC成绩单一模一样
原件一模一样【微信：6496090】【肯特大学毕业证UKC学位证成绩单】【微信：6496090】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：6496090】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：6496090】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：6496090】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理肯特大学毕业证UKC学位证【微信：6496090 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理肯特大学毕业证UKC学位证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理肯特大学毕业证UKC学位证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理肯特大学毕业证UKC学位证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey ...
"Rethinking Kållered │ From Big Box to a Reuse Hub: A Transformation Journey Toward Sustainability"
The booklet of my master’s thesis at the Department of Architecture and Civil Engineering at Chalmers University of Technology. (Gothenburg, Sweden)
This thesis explores the transformation of the vacated (2023) IKEA store in Kållered, Sweden, into a "Reuse Hub" addressing various user types. The project aims to create a model for circular and sustainable economic practices that promote resource efficiency, waste reduction, and a shift in societal overconsumption patterns.
Reuse, though crucial in the circular economy, is one of the least studied areas. Most materials with reuse potential, especially in the construction sector, are recycled (downcycled), causing a greater loss of resources and energy. My project addresses barriers to reuse, such as difficult access to materials, storage, and logistics issues.
Aims:
• Enhancing Access to Reclaimed Materials: Creating a hub for reclaimed construction materials for both institutional and individual needs.
• Promoting Circular Economy: Showcasing the potential and variety of reusable materials and how they can drive a circular economy.
• Fostering Community Engagement: Developing spaces for social interaction around reuse-focused stores and workshops.
• Raising Awareness: Transforming a former consumerist symbol into a center for circular practices.
Highlights:
• The project emphasizes cross-sector collaboration with producers and wholesalers to repurpose surplus materials before they enter the recycling phase.
• This project can serve as a prototype for reusing many idle commercial buildings in different scales and sizes.
• The findings indicate that transforming large vacant properties can support sustainable practices and present an economically attractive business model with high social returns at the same time.
• It highlights the potential of how sustainable practices in the construction sector can drive societal change.
一比一原版美国哥伦比亚大学毕业证Columbia成绩单一模一样
原件一模一样【微信：6496090】【美国哥伦比亚大学毕业证Columbia学位证成绩单】【微信：6496090】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：6496090】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：6496090】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：6496090】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理美国哥伦比亚大学毕业证Columbia学位证【微信：6496090 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理美国哥伦比亚大学毕业证Columbia学位证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理美国哥伦比亚大学毕业证Columbia学位证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理美国哥伦比亚大学毕业证Columbia学位证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(brunel毕业证书)布鲁内尔大学毕业证如何办理
原版一模一样【微信：6496090 】【(brunel毕业证书)布鲁内尔大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(brunel毕业证书)布鲁内尔大学毕业证【微信：6496090 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(brunel毕业证书)布鲁内尔大学毕业证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(brunel毕业证书)布鲁内尔大学毕业证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(brunel毕业证书)布鲁内尔大学毕业证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版（UVM毕业证）佛蒙特大学毕业证如何办理
原件一模一样【微信：176555708】【佛蒙特大学毕业证（UVM学位证）成绩单】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：176555708】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理佛蒙特大学毕业证（UVM学位证）学位证【微信：176555708 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理佛蒙特大学毕业证（UVM学位证）学位证【微信：176555708 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理佛蒙特大学毕业证（UVM学位证）学位证【微信：176555708 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理佛蒙特大学毕业证（UVM学位证）学位证【微信：176555708 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版（OU毕业证）美国俄克拉荷马大学毕业证如何办理
原件一模一样【微信：WP101A】【（OU毕业证）美国俄克拉荷马大学毕业证学位证成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理（OU毕业证）美国俄克拉荷马大学毕业证学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理（OU毕业证）美国俄克拉荷马大学毕业证学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理（OU毕业证）美国俄克拉荷马大学毕业证学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理（OU毕业证）美国俄克拉荷马大学毕业证学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版澳洲查理斯特大学毕业证（CSU学位证）如何办理
原件一模一样【微信：WP101A】【澳洲查理斯特大学毕业证（CSU学位证）成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理澳洲查理斯特大学毕业证（CSU学位证）学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理澳洲查理斯特大学毕业证（CSU学位证）学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理澳洲查理斯特大学毕业证（CSU学位证）学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理澳洲查理斯特大学毕业证（CSU学位证）学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(falmouth毕业证书)法尔茅斯大学毕业证如何办理
原版一模一样【微信：6496090 】【(falmouth毕业证书)法尔茅斯大学毕业证成绩单】【微信：6496090 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微6496090
【主营项目】
一.毕业证【q微6496090】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微6496090】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(falmouth毕业证书)法尔茅斯大学毕业证【微信：6496090 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(falmouth毕业证书)法尔茅斯大学毕业证【微信：6496090 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(falmouth毕业证书)法尔茅斯大学毕业证【微信：6496090 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(falmouth毕业证书)法尔茅斯大学毕业证【微信：6496090 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版(ucb毕业证书)英国伯明翰大学学院毕业证如何办理
原版一模一样【微信：741003700 】【(ucb毕业证书)英国伯明翰大学学院毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(ucb毕业证书)英国伯明翰大学学院毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(ucb毕业证书)英国伯明翰大学学院毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(ucb毕业证书)英国伯明翰大学学院毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(ucb毕业证书)英国伯明翰大学学院毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版（Hull毕业证）英国哈珀亚当斯大学毕业证如何办理
原件一模一样【微信：WP101A】【（Hull毕业证）英国哈珀亚当斯大学毕业证学位证成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理（Hull毕业证）英国哈珀亚当斯大学毕业证学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理（Hull毕业证）英国哈珀亚当斯大学毕业证学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理（Hull毕业证）英国哈珀亚当斯大学毕业证学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理（Hull毕业证）英国哈珀亚当斯大学毕业证学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
一比一原版英国伦敦政治经济学院毕业证（LSE学位证）如何办理
原件一模一样【微信：WP101A】【英国伦敦政治经济学院毕业证（LSE学位证）学位证）成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理英国伦敦政治经济学院毕业证（LSE学位证）学位证）学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理英国伦敦政治经济学院毕业证（LSE学位证）学位证）学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理英国伦敦政治经济学院毕业证（LSE学位证）学位证）学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理英国伦敦政治经济学院毕业证（LSE学位证）学位证）学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
原版制作(MDIS毕业证书)新加坡管理发展学院毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(MDIS毕业证书)新加坡管理发展学院毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版美国俄勒冈大学毕业证（UO,UofO学位证）如何办理
原件一模一样【微信：WP101A】【美国俄勒冈大学毕业证（UO,UofO学位证）成绩单】【微信：WP101A】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：WP101A】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：WP101A】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：WP101A】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理美国俄勒冈大学毕业证（UO,UofO学位证）学位证【微信：WP101A 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理美国俄勒冈大学毕业证（UO,UofO学位证）学位证【微信：WP101A 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理美国俄勒冈大学毕业证（UO,UofO学位证）学位证【微信：WP101A 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理美国俄勒冈大学毕业证（UO,UofO学位证）学位证【微信：WP101A 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
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GIS work sample
- 1. Marvelous Echeng 11/26/2019 Assignment 3 Site Suitability Analysis Using GIS Project Report Introduction The purpose of this project was to search for a location that will be suitable for a new daycare center. Criteria of Site Selection The criteria for the site selection were as follows: 1. It must be in a census tract with a population density greater than or equal to five person per acre. 2. It must be located in censustractswith at least 10 percentof the population with ages6 and below. 3. It must be located in census tracts with medium and annual household income of at least $35000 4. It must be 1 mile away from existing daycare centers. Methodology The methodology that was used included joining the attribute tables of the census and the tracts layer with the common ID specified as CT1/ Tracts_W and dividing the total population by the total number of acres. While using the select from attributes option on ArcMap, I had specified the population to be at least 5 persons per acre, the population to be at least 10 percent of ages 6 and below, and the medium annual household to be at least $35000. I had createda 1 mile buffer betweeneachdaycare center using the analysis tools from Arc toolbox. After completing the buffer inputs, a new daycare center can be established outside of the cluster of buffers that are present within the map. Results and recommendations Based on the results on the map, the recommendation was to mark a point on the map which falls outside the buffer zone. This new mark satisfies the conditions as to where to create a new daycare center.
- 3. Appendix: 1. What is the common ID from the two tables? CT1/ Tracts_W 2. Write your calculation equation here. [TOT_POP] / [ACRES] 3. List the coordination system of each file. Daycare: Projected Coordinate System: Clarke_1866_UTM_Zone_12 Geographic Coordinate System: GCS_Clarke_1866 Roads: Projected Coordinate System: NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet Geographic Coordinate System: GCS_North_American_1983 Tract: Projected Coordinate System: NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet Geographic Coordinate System: GCS_North_American_1983 4. Based on the information you obtain from the above step, what would be the best way to complete this step? You have to select the layer of the Daycare. You would then go to arc toolbox, select data management tools, projections and transformations, and project. You would click layer and then change the coordinate system from Clarke_1866_UTM_Zone_12/ GCS_Clarke_1866 to NAD_1983_StatePlane_Texas_North_Central_FIPS_4202_Feet/ GCS_North_American_1983 5. Describe in detail the steps you performed in step #8. Specify the overlay option, input layer, and output layer. You would go to Arc Toolbox, select analysis tools, and specify the overlay to be union. The input layer would be the new daycare shape file (point) and the output layer would be the daycare buffer (polygon) 6. Describe in detail the input layer and query options that you used in step #9. The input layer is the daycare shape file with the points system that are scattered across the map and are at least 1 mile apart. The query for the data are Select by Attributes, select New tracts from the layer, Create a new selection, use the equation Pop_Densit>=5 Select by attributes, select from current selection, use the equation: PERCENT_LE>=10 Select by attributes, select from current selection, use the equation: Med_HH_Inc>=35000 7. What is the final option? The final option came down to the area with CTI of 319005, with the tract id, 431, median household income of 46103, population density of 8 person per acre and has an acre of 640.71. 8. If you were to recommend a site within the area of your final option, what other factors would you also consider? Why?
- 4. 9. I would recommend a site that is not within the buffer zone because they would fall outside of the 1 mile radius in which the daycare centers are already existent. 10. What is the name of the new daycare center file? New Daycare Center 11. Describe the changes you have made for the features and the attribute table. I createda new address of the daycare center in the attribute table and it is reflected as that is outside of the 1 mile buffer zone.