Approximately one million refugees of the Rohingya minority population in Myanmar crossed the border to Bangladesh on 25 August 2017, seeking shelter from systematic oppression and persecution. This ...led to a dramatic expansion of the Kutupalong refugee camp within a couple of months and a decrease of vegetation in the surrounding forests. As many humanitarian organizations demand frameworks for camp monitoring and environmental impact analysis, this study suggests a workflow based on spaceborne radar imagery to measure the expansion of settlements and the decrease of forests. Eleven image pairs of Sentinel-1 and ALOS-2, as well as a digital elevation model, were used for a supervised land cover classification. These were trained on automatically-derived reference areas retrieved from multispectral images to reduce required user input and increase transferability. Results show an overall decrease of vegetation of 1500 hectares, of which 20% were used to expand the camp and 80% were deforested, which matches findings from other studies of this case. The time-series analysis reduced the impact of seasonal variations on the results, and accuracies between 88% and 95% were achieved. The most important input variables for the classification were vegetation indices based on synthetic aperture radar (SAR) backscatter intensity, but topographic parameters also played a role.
The city of Mosul located approximately 400 km North of Baghdad was captured by the Islamic State during the period 04th – 06th of June in 2014. The impact of conflict had devastated results on ...buildings and the infrastructure of the city.
Remote sensing technology has proven an extremely useful tool for monitoring changes. In this study, a combination of Synthetic Aperture Radar (SAR) and optical imagery is used to map and monitor changes in the urban environment due to war.
In total, twenty of both Sentinel-1 and Sentinel-2 images were collected during the period of 2015 and 2019. The data were pre-processed and integrated to develop a supervised machine learning classification approach using Support Vector Machine (SVM) classifier. Texture analysis such as Grey Level Co-occurrence Matrix (GLCM) was also performed and combined with the other datasets.
Spectral indices have been used to improve the classification results such as: Band Ratio Built up Area (BRBA), New Built-up Area (BUI), Dry Bare Soil Index (DBSI), Modified Normalized Difference Water Index (MNDWI), Normalized Difference Vegetation Index (NDVI), and Soil Adjusted Vegetation Index (SAVI) which were derived from the optical data (Sentinel-2) to serve as an input to the classification scheme. The built-up area index was found to be one of the most important features in the classification scheme.
show an overall accuracy of approximately 96% was achieved for all the scenes between 2015 and 2019. The change detection results show that the largest devastation occurred between 2017 and 2018 where the urban area was decreased by 427.65 km2, where in 2019 the impact of the Mosul city was the lowest with a 296.8 km2 urban loss. The developed approach showed an effectiveness in mapping the areas where conflict had the strongest impact.
The settlement of Larissa in the eastern part of Central Greece suffers from continued land deformation as evidenced by ground fissures, sinkholes and subsidence. We used three different ...interferometric synthetic aperture radar (InSAR) techniques to monitor ground deformation dynamics in the study area. Spatial patterns of short-term changes (35 days) were studied using conventional InSAR, longer-term changes (13 years) by interferometric stacking, and change dynamics of single objects was assessed by permanent scatterer technique. The results indicate co-occurring subsidence and uplift processes in the region with their average annual change rates reaching up to −2.9 and 6.6 mm a
−1
, respectively. Some of these changes may be attributed to tectonic fault movements, but there are also other mechanisms of continued ground deformation in the region, particularly the swelling and shrinking of expansive soils and human-induced changes in the groundwater level.
Product reviews that can be accessed online help shoppers get information about the products they are about to buy. The emergence of e-commerce websites has made it possible for customers to express ...their opinions on goods and services. Business owners can gain an understanding of customer satisfaction. The problem that arises is that a large number of reviews can overwhelm users to read all the reviews, requiring sentiment analysis. Sentiment analysis is done to overcome this problem, by summarizing reviews into sentiments and displaying the sentiments of these reviews. To perform sentiment analysis on restaurant reviews, a classification method is needed. Naive Bayes is one of the classification methods that can be used to classify these sentiments. Decision Tree is used to compare the classification results of the Naive Bayes method. Both methods were chosen because they can produce a good classification model with a relatively simple process and relatively little data. The process of both classification methods uses a learning process and a testing process to obtain classification results. The experimentation resulted in Gaussian Naive Bayes that gave the best performance with the best f1-score of 90.81%. Compared with the Gini Decision Tree with the best f1-score of 89.64%.
The aim of this study is dealing with the use of Persistent Scoters Interferometry (PSI) technique to detect soil deformation. The main idea is to find out point candidates in the agricultural fields ...in the northern part of Larissa having the properties that PSI technique uses. The soil properties have been classified into five orders. Inside each soil order one point candidate has been chosen to identify the behavior of soil deformation and the effect of soil type on its deformation rate, through the time series analysis of PSI point targets and creating a statistic correlation in order to identify exactly the effect of soil characteristics (soil properties) on its deformation.
Chitosan (1%) was glycated with inulin (0.5, 1, and 2%) via the Maillard reaction at various initial pH values (5, 5.5, and 6). Higher pHs led to a greater pH drop and increase in the intermediate ...products and browning intensity (BI). The chitosan–inulin conjugates were then classified into three levels of low, medium, and high BI through
K
-
means clustering
in order to investigate the effect of BI development on the antioxidant and antimicrobial attributes of the conjugates. Covalent linkage between chitosan and inulin was confirmed by fourier transform infrared spectroscopy. High BI chitosan–inulin conjugate had significantly higher antioxidant property compared to chitosan and other conjugate fractions. In addition, the conjugates obtained at low pH values mainly presented greater antimicrobial activities than those prepared at high pHs. It can be concluded that chitosan–inulin Maillard-born conjugates can be used as novel antioxidant and antimicrobial prebiotic-based ingredients for food applications.
Management patients information based finger print Fakhri, Ahmed Bashar; Jameel, Huda Farooq; Mahmood, Mustafa Falah
Indonesian Journal of Electrical Engineering and Computer Science,
06/2022, Letnik:
26, Številka:
3
Journal Article
Odprti dostop
The fingerprint is certainly one of the distinguishing features of the human body that is easily available and identifies one individual from another. The fingerprint sensor increases this ...distinctiveness, which is a device that can automatically classify or identify a person. The fingerprint based medical system is a more efficient means of storing clinical data for patients. It makes take advantage of fingerprint recognition technology to quickly and easily for determine the patient's past medical history. The system consists of an Arduino UNO board, a fingerprint sensor, an secure digital (SD) card module, and a micro-SD card. The suggested technology allows the use of a micro-SD card to store patient information as well as send it by internet. When this system was compared to the manual technique, the results indicate that the main advantage is that the proposed device saves a significant amount of time that manual searching and enrolling requires. Patients' information is simply collected and managed with this system, which has enhanced dependability, durability, and efficiency. It provides improved speed and performance, as well as better data security because the data is stored within the device.
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