Techniques and Challenges of the Machine Learning Method for Land Use/Land Cover (LU/LC) Classification in Remote Sensing Using the Google Earth Engine

In order to accurately observe the globe, land use and land cover are crucial. Due to the proliferation of several global modifications associated with the existence of the planet, land use/land cover (LU/LC) classification is now regarded as a topic of highest significance in the natural environment and an important field to be researched by researchers. Google Earth provides satellite image dataset which contains high-resolution images; these images are used to analyze the land area. In order to address the dearth of review articles throughout the land use/land cover classification phase, we proposed a full evaluation, which might help researchers continue their work. Therefore, the purpose of this study is to investigate the methodical steps involved in classifying land use and land cover utilizing the Google Earth platform. The most widely used techniques researchers employ to achieve LU/LC classification using Google Earth Engine are examined in this work. The classification of land use and land cover for a specific region using time series was covered in this study, along with the many types of land use and land cover classes and the approach employed by Google Earth. The limits of the GEE tool and difficulties encountered during the process of classifying land use and cover have also been covered in this survey document. The importance of this review rests in inspiring future scholars to tackle the LU/LC analysis problem successfully, and this study offers researchers a road map for assessing land use/land cover classification

A Proposed Approach for Multiserver Authentication and Key Agreement with User Protection and Security

Use of smart card makes remote user verification and key agreement easy, elastic to making a secure scattered system environment. It is very important to provide user privacy protection in authentication phase. In this paper, we are describing the performance comparison of Jung approach for multiple server authentication and key agreement schemes with user protection in network security with our proposed approach. First we are describing the juang approach then overview of our approach with comparison. All the areas those can be improved by us are also defined. Our approach is works for single server as well as multi sever environment. According to our analysis the juang approach is open to the element, leak-of-verifier attack and session key discovery attack and smart card loss attack. We are saving data into the server table in form of digital identity, smart card is removed by us, and so the new approach is safe from smart card loss attac

Carpal tunnel syndrome: Analyzing efficacy and utility of clinical tests and various diagnostic modalities

Background: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy, but not adequately studied in India. Objectives: To study clinical tests, nerve conduction studies (NCS), ultrasonography (USG), and magnetic resonance imaging (MRI) in diagnosing CTS. Materials and Methods: We diagnosed CTS in 54 patients (93 hands) out of 60 screened patients with symptoms compatible with CTS, including 19 control patients (23 hands). We conducted provocative tests and calculated Boston Carpal tunnel Questionnaire (BCTQ) symptom (S) and function (F) scores. NCS positive patients were classified into mild, mild-to-moderate, moderate, severe, and all-CTS groups. Median nerve anteroposterior, transverse, circumference (CIR), and cross-sectional area (CSA) at inlet (I), middle (M), and outlet (O) each was measured by USG in all patients. MRI was done in 26 patients (39 hands). Results: Phalen, hand elevation and pressure provocation tests had higher sensitivity, Tinel's test had higher specificity and tethered median nerve and tourniquet tests had low sensitivity and moderate specificity. USG had low sensitivity but high specificity, and MRI had moderate sensitivity. USG in patients compared to controls was significantly abnormal in CSA-I, CIR-I, and CSA-O. Significant correlation was found between BCTQ-S and NCS and BCTQ-S and CIR-O. CIR-M, CIR-O, CSA-M, and CSA-I had correlation with NCS. MRI was significant in moderate and in moderate + severe groups combined and associated pathologies were detected in 59% patients. Conclusion: NCS remain gold standard but USG and MRI help increase sensitivity and detect mass lesions amenable to surgery