scholarly journals ON THE CATEGORIZATION OF HIGH ACTIVITY OBJECTS USING DIFFERENTIAL ATTRIBUTE PROFILES

Author(s):  
M. Boldt ◽  
A. Thiele ◽  
K. Schulz ◽  
S. Hinz

<p><strong>Abstract.</strong> Change detection represents a broad field of research being on demand for different applications (e.g. disaster management and land use / land cover monitoring). Since the detection itself only delivers information about location and date of the change event, it is limited against approaches dealing with the category, type, or class of the change objects. In contrast to classification, categorization denotes a feature-based clustering of entities (here: change objects) without using any class catalogue information. Therefore, the extraction of suitable features has to be performed leading to a clear distinction of the resulting clusters.</p><p>In previous work, a change analysis workflow has been accomplished, which comprises both the detection, the categorization, and the classification of so-called high activity change objects extracted from a TerraSAR-X time series dataset. With focus on the features used in this study, the morphological differential attribute profiles (DAPs) turned out to be very promising. It was shown, that the DAP were essential for the construction of the principal components.</p><p>In this paper, this circumstance is considered. Moreover, a change categorization based only on different and complementary DAP features is performed. An assessment concerning the best suitable features is given.</p>

2020 ◽  
Vol 64 (02) ◽  
pp. 305-312
Author(s):  
Komal ◽  
Ganesh Kumar Sethi ◽  
Rajesh Kumar Bawa

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
R M J Van Der Velden ◽  
D V M Verhaert ◽  
A N L Hermans ◽  
M Gawalko ◽  
D Duncker ◽  
...  

Abstract Introduction During the coronavirus disease 2019 (COVID-19) pandemic, numerous centres in Europe used on-demand photoplethysmography (PPG) technology to remotely assess heart rate and rhythm in conjunction with teleconsultations within the TeleCheck-AF project. Purpose To develop an educational structured stepwise practical guide on how to interpret PPG signals and to study typical clinical scenarios how on-demand PPG was used in the TeleCheck-AF project. Methods During an online conference, the structured stepwise practical guide on how to interpret PPG signals was discussed and further refined during an internal review process. We provide the number of respective PPG recordings and number of patients managed within a clinical scenario during the TeleCheck-AF project. Results To interpret PPG recordings, we introduce a structured stepwise practical guide and provide representative PPG recordings. In the TeleCheck-AF project, 2522 subjects collected 90.616 recordings. The majority of these recordings was classified by the PPG algorithm as sinus rhythm (57.6%), followed by atrial fibrillation (AF) (23.6%). In 9.7% of recordings the quality was too low to interpret. Other observed rhythms were tachycardia (1.4%), extra systoles (4.7%), bigeminy episodes (1.8%), trigeminy episodes (0.6%) and atrial flutter (0.2%). The most frequent clinical scenario where PPG technology was used in the TeleCheck-AF project was follow-up after AF ablation (1110 patients) followed by heart rate and rhythm assessment around (tele)consultation (966 patients), sometimes including remote PPG-guided adaption of rate or rhythm control. 275 patients were followed around cardioversion, either (semi-)acute or elective. Other possible scenarios are assessment of palpitations, assessment of symptom-rhythm correlation and monitoring during up-titration of heart failure medication. Conclusion We introduce a newly developed structured stepwise practical guide on PPG signal interpretation developed based on presented experiences from TeleCheck-AF. The present clinical scenarios for the use of on-demand PPG technology derived from the TeleCheck-AF project will help to implement PPG technology in the management of arrhythmia patients. FUNDunding Acknowledgement Type of funding sources: None. TeleCheck-AF clinical scenarios Classification of PPG recordings


Author(s):  
Shailaja Dilip Pawar

Abstract: Cloud computing is actually a model for enabling convenient, limitless, on demand network access to a shared pool of computing resource. This paper describes introductory part explain the concept of cloud computing, different components of cloud, types of cloud service development. At last paper elaborates the classification of cloud computing which will clear the ovelall idea of cloud computing to the learners who are new to this field. Keywords: cloud computing, SaaS, PaaS, IaaS


2021 ◽  
Vol 12 (2) ◽  
pp. 311-324
Author(s):  
Rachel Cole

This article draws on a history of media classification in Australia to consider how this field is developing. The focus is on age-based classification of commercially and professionally produced content, specifically made available through streaming and subscription-video-on-demand (SVOD) platforms. As platform company Netflix steps into the terrain of regulation, this environment is changing quite dramatically. The Netflix tool emerges in a governmental space characterized by new and emerging transnational governance and monitoring Boards, ghost work and moral panics in the form of online firestorms. Questions developed in the time of legacy media that consider human and machine, and industry and government as working separately, are confronted by new practices and points of inquiry with impacts broader than Australian media consumption.


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