Classification of Mobile Applications with rich information

Author(s):  
B. Senthil Kumar ◽  
R. Ravi ◽  
P. Dhanalakshmi ◽  
S. Kirubakaran ◽  
K. Maheswari
Author(s):  
Josh Feiser ◽  
Vijay V. Raghavan ◽  
Teuta Cata

Mobile devices and applications are becoming popular in today’s society. The number of applications available to both the patient and the healthcare provider is changing the way healthcare is being delivered and consumed. The integration of mobile devices into every-day lives is driving the changes in healthcare. While all areas of medicine are being impacted, changes are mostly of chronic care, long term care and any place that causes a need for constant data, monitoring or training. The acceptance of mobile devices by healthcare consumers within wide range of age and socioeconomic circumstances is reason to look at mobile technology as the future of healthcare. While increased use of mobile applications are welcomed by most providers and consumers alike, there is a need to systematize the study of its use. The authors provide a framework for considering mobile applications in healthcare, based on their risk-profile. They accomplish this by first identifying and classifying the mobile healthcare applications.


Author(s):  
Marina Y. Antropova ◽  
Andrei A. Vlasov ◽  
Elena F. Kasyanenko

Mobile training facilitates communication and information exchange without reference to stationary equipment. The purpose of the study is to find effective resources and mobile programs for use by Chinese undergraduate students in the study of Russian and English as foreign languages. The study was conducted in the Chinese universities of Guangzhou, Zhuhai and Wuhan. Observation, survey, survey and problem-oriented search showed that 95% of respondents prefer to use the mobile communication system WeChat (Weixin). Mobile programs and applications based on it—Xiumi, dictionaries Youdao and Qianyi, mini-program Ruclub, ‘Russian centre’—are widely used in the classroom and outside the classroom, in various forms of student and teaching activities. The results of the study showed that WeChat (Weixin) is the leading mobile platform for learning foreign languages in China. It is important to create a methodological classification of mobile applications used for teaching purposes on the WeChat platform. Keywords: Mobile learning, mobile programs, mobile app, WeChat, Chinese students.


1992 ◽  
Vol 111 (2) ◽  
pp. 291-298 ◽  
Author(s):  
Washington Mio

One of the central problems in higher-dimensional knot theory is the classification of links up to concordance. In 14, Le Dimet constructed a universal model for (disk) link complements, which allowed him to formulate this problem in the framework of surgery theory by applying the Cappell-Shaneson program for studying codimension two embeddings of manifolds 1. The concordance classification was reduced to questions in L-theory (-groups 1) and homotopy theory (of Vogel local spaces 14). While recent results of Cochran and Orr2 (see also 18) provide rich information on the -theoretic part of the problem (in particular, they settle the question of the existence of links not concordant to boundary links), little is known about Le Dimet's homotopy invariant of links; for example, it is not known whether it may ever be non-trivial, or phrasing it more geometrically (according to 19), whether there are links that are not concordant to sublinks of homology boundary links. This motivated us to look at simpler classes of links, for which a more direct geometric approach to the problem is also possible, in an attempt to get some insight on the geometry carried by the homotopy invariants.


Author(s):  
Sabado Gomes Dabó ◽  
Maria Girlane Sousa Albuquerque Brandão ◽  
Thiago Moura de Araújo ◽  
Natasha Marques Frota ◽  
Vivian Saraiva Veras

Analyze mobile applications developed for prevention of diabetic foot. Method: Integrative review, with searches in LILACS, BDENF, Scopus, Web of Science and PubMed databases, from 2000 to 2019. After eligibility criteria, the sample consisted of nine articles. Results: The mobile applications for prevention of diabetic foot are based on online foot monitoring through images, evaluation of thermal images of the feet, capture of images of the sole of the foot, recommendations for self-care with the feet and classification of the risk of diabetic foot. The analysis of the articles shows that the applications were considered a good prevention strategy. Conclusion: This study enabled the identification of nine mobile applications developed for prevention of diabetic foot, with predominance in the use of thermometry as the main measure for prevention and early detection of diabetic foot ulcers, with the use of thermal images and sensors associated with the mobile application.


2020 ◽  
Vol 1 (191) ◽  
pp. 70-73
Author(s):  
Olha Dushchenko ◽  

Gadgets have become indispensable attributes of our lives, but also applications. Using applications simplifies and speeds up users. It is the future computer science teachers who must be able to create their own applications for professional duties, because the possession of tools for creating software products is one of the software learning outcomes of future computer science teachers. The concept of "application" is analyzed in the article. An "application" is defined as a software product that can run on a PC and / or mobile device due to installation or opening by a browser without installation. Types of applications are presented: desktop applications, mobile, web applications. The existing classifications of applications are given, with their characteristics, namely: web application, rich Internet application, Internet application, mobile application, hybrid mobile application, composite web application (mashup). Describes the classification of Internet applications and composite web applications. Examples of web applications are given. Statistics on the use of mobile applications of social networks and messengers, according to which the most popular application is the YouTube application. The author's classification of applications is offered: desktop applications (applications that are installed on a PC), mobile applications (applications that are installed on mobile devices), Internet applications (web applications, applications that do not require installation, but are opened by a browser and a certain mostly use the Internet). The platforms for creating applications are given. The stages of application creation are characterized: selection of the target audience, definition of purpose and functionality, type of application interface, selection of tools for application creation, application creation, application testing, improvement of the developed application. Examples of applications that can be created by future computer science teachers for further use in professional activities are offered: own website, testing system, reference book, application with presentations to educational material and tasks, guest book, forum, etc. The creation and use of applications by future computer science teachers ensures the formation of pupils' interest in computer science lessons, because pupils often use applications for personal needs, rather than educational.


Author(s):  
Stan Karanasios ◽  
Stephen Burgess ◽  
Carmine Sellitto

This chapter introduces mobile technology and discusses its emergence in the tourism industry. As has been the case with other Information Communication Technologies (ICTs), tourism has manifested as one of the most well suited sectors to mobile technology and mobile applications. In contrast to other ICTs in the tourism domain however, mobile applications are capable of enhancing the tourist experience at the destination, creating a paradigm shift in how information is accessed and digested, and transactions performed. Nonetheless, little is known concerning how mobile technologies are changing the landscape of tourism and tourist behaviour and the content offered by tourism applications. In order to address the scarcity of research in this emergent area this paper focuses on mobile applications in the tourism industry and based on a literature survey proposes a framework for evaluating mobile tourism applications.


Author(s):  
Björn Papenberg ◽  
Patrick Rückert ◽  
Kirsten Tracht

AbstractVisual sensor data of manual assembly operations offers rich information that can be extracted in order to analyze and digitalize the assembly. The worker’s interaction with tools and objects, as well as the spatial–temporal nature of assembly operations, makes the recognition and classification of assembly operations a complex task. Therefore, classical methods of computer vision do not provide a sufficient solution. This paper presents a recurrent neural network for the classification of manual assembly operations using visual sensor data and addresses the question as to what extent such a solution is feasible in terms of robustness and reliability. Since complex assembly operations are a combination of basic movements, four main assembly operations of the Methods Time-Measurement base operations are classified using a machine learning approach. A dataset of these four assembly operations, reach, grasp, move and release, containing RGB-, infrared-, and depth-data is used. A Convolutional Neural Network—Long Short Term Memory architecture is investigated regarding its applicability due to the spatial–temporal nature of the data.


2019 ◽  
Vol 29 (5) ◽  
pp. 821-825
Author(s):  
Manuel Beja da Costa ◽  
Magdalena Jurczuk ◽  
Bernardo Marques ◽  
João Nuno Silva

Abstract Background Live bivalve molluscs, echinoderms, tunicates and marine gastropod are referred in EU food laws, and require member states to implement official controls in classified production areas, with the monitoring and classification of those areas. If, due to contaminant tests results, a production area is closed, any product from there is prohibited to be commercialized. Mobile applications optical character recognition (OCR) functionalities could ease the access to contaminant levels and production area classifications. This study verifies what information is available in live bivalves’ labels, describes an OCR algorithm for those labels and evaluates it. Methods 86 labels were selected from four sale points in Lisbon, and photographed using smartphones. Each label was evaluated by a human to determine what data was available (either required or not). An OCR algorithm was developed and applied on the collected labels and validated against the data extracted by the human analysis. Results The analysis shows that all the labels included the required information, and 63% of the labels included the identifier for the production zone. The label-reading algorithm performs with an accuracy of 79.85% for the individual values. Conclusion High accuracy of the developed label-reading algorithm shows potential for providing instant automatic access to the date and production area, but is affected by the variability on the label structure. Although not required by food laws, the majority of the sampled labels included complementary information (classified production area) that will allow access to more precise information about the existing biotoxin tests and analysis results.


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