Implementing Large-Scale Mobile Device Initiatives in Schools and Institutions

Author(s):  
Hong Lin
Keyword(s):  
Author(s):  
Panu Korpipää ◽  
Jukka Linjama ◽  
Juha Kela ◽  
Tapani Rantakokko

Gesture control of mobile devices is an emerging user interaction modality. Large-scale deployment has been delayed by two main technical challenges: detecting gestures reliably and power consumption. There have also been user-experience-related challenges, such as indicating the start of a gesture, social acceptance, and feedback on the gesture detection status. This chapter evaluates a solution for the main challenges: an event-based movement interaction modality, tapping, that emphasizes minimal user effort in interacting with a mobile device. The technical feasibility of the interaction method is examined with a smartphone equipped with a sensor interaction cover, utilizing an enabling software framework. The reliability of detecting tapping is evaluated by analyzing a dataset collected with the smartphone prototype. Overall, the results suggest that detecting tapping is reliable enough for practical applications in mobile computing when the interaction is performed in a stationary situation.


2021 ◽  
Vol 70 (1) ◽  
pp. 6-8
Author(s):  
З.Б. Батчаева ◽  
А.А. Гебенова ◽  
А.А. Халкечева

The mobile phone is very important in our lives, with the help of a mobile phone you can do everything: from reading ordinary cooking recipes to making deals on a large scale. The purpose of this work is to review mobile programs and applications, show the installation of programs on a mobile device, as well as what categories of programs can be installed on a mobile device


Author(s):  
Yonghong Tong ◽  
Muhammet Bakan

With the increasing application of using mobile device and social media, large amount of continuous information about human behaviors is available. Data visualization provides an insightful presentation for the large-scale social media datasets. The focus of this paper is on the development of a mobile-device based visualization and analysis platform for social media data for the purpose of retrieving and visualizing visitors’ information for a specific region. This developed platform allows users to view the “big picture” of the visitors’ locations information. The result shows that the developed platform 1) performs a satisfied data collection and data visualization on a mobile device, 2) assists users to understand the varieties of human behaviors while visiting a place, and 3) offers a feasible role in imaging immediate information from social media and leading to further policy-making in related sectors and areas. Future research opportunities and challenges for social media data visualization are discussed.Keywords: Social media, data visualization, mobile device


Author(s):  
Daniel Hintze ◽  
Philipp Hintze ◽  
Rainhard D. Findling ◽  
René Mayrhofer

2017 ◽  
Vol 18 (3-4) ◽  
pp. 67-72
Author(s):  
V. B. Solovey ◽  
Yu. V. Zalavskyi

Reliable information on soil condition – the basis for evaluation its current condition of rational use. In the leading countries of the world it is accepted periodically – once in 20–30 years to conduct a solid survey of soil cover. During such a period of time, changes in soil properties become noticeable, and at the same time, due to the progress in soil science, the idea of soil genesis, their diagnostics, evolution in use, the evaluation of agro-industrial qualities and the way of rational use are improved. The purpose of this study is to propose new approaches for the transfer of information on the condition of soil with the help of modern devices of information and communication and GIS technologies for the mapping and updating of large-scale soil maps. The main tasks of this research work: 1) Improvement of elements of the methodology of large-scale soil survey; 2) Working out the methodology of large-scale and detailed soil survey; 3) Search for the use of innovative technical tools for the soil mapping. Working out the methods of information and communication facilities in large-scale and detailed studies of soil cover. In particular, a modern mobile device (smartphone) is used in field work with the use of on-line mode for data transmission directly over the Internet. For the work is used mobile software Collector for ArcGIS, application for collecting field data. Mobile device with Android operating system equipped with GPS receiver. The work covers the all technological process, from the development of a database of geospatial data (DB) to map representation in ArcGIS Online and its use for gathering field data and matching the results. The following software and hardware are used to perform the work: ArcGIS Desktop 10 and later; ArcGIS Online with organizational account (account); ESRI Collector for ArcGIS. In the course of the work, the collection of data in the field conditions on soil profiles and their description with the help of the Collector for ArcGIS application is performed. The methodology of the process for collecting data using Collector is presented: 1) Determining the data to be collected. Development of data collection model, what type of point objects and their attributes should be; 2) Placing the data collection model as an object service on ArcGIS Online; 3) Arrival at the place designated for the field works (in particular, in places of location of soil profiles) and the opening of a web-map (map-version) used for data collection. During the research of soil cover in the field, a series of soil profiles and trenches are located on the specific elements of the relief (where there may be a soil changes). All information is shown on the map in Collector for ArcGIS on your mobile device (smartphone, tablet). When entering points in the device, all required fields are filled in. 4) Data collection by mobile device using Collector for ArcGIS (spatial coordinates, attributes and photos, etc.); 5) ArcGIS Online on-site data storage (provided Wi-Fi or Internet connection is available) and synchronization. Thus, the method of collecting data on soil cover using ICT and GIS technologies has been developed and tested to facilitate the processing of information for the needs of large-scale mapping. During testing, a number of advantages and disadvantages have been identified when applying ICT in the digital soil mapping.


2017 ◽  
Vol 157 ◽  
pp. 151-166 ◽  
Author(s):  
Thomas Schöps ◽  
Torsten Sattler ◽  
Christian Häne ◽  
Marc Pollefeys

2019 ◽  
Vol 105 (5) ◽  
pp. 458-462
Author(s):  
Sun Jae Moon ◽  
Jinseub Hwang ◽  
Harrison Scott Hill ◽  
Ryan Kervin ◽  
Kirstin Brown Birtwell ◽  
...  

ObjectiveThe current study was performed to assess the evidence for effects of therapeutic intervention with mobile device applications (apps) for individuals with autism spectrum disorder (ASD).DesignThe main methodology of the current study was systematic review with meta-analysis.SettingOnly randomised controlled trials (RCTs) for mobile device apps for individuals with ASD were considered for review in the current study.PatientsThe target population was individuals clinically diagnosed with ASD.InterventionsApplications that are operable on a smart (mobile) device and interactive with users.Main outcome measuresThe main outcomes were based on standardised mean differences in pretrial and post-trial scales in each control and intervention group.ResultsOut of a total of 1100 studies (after duplicate removal), 7 RCTs were selected for final analysis. Of the seven studies, two RCTs were further analysed for effects based on the visual and fine motor subscales of the Mullen Scales of Early Learning, which favoured the intervention groups (standardised mean difference (SMD)=0.41, 95% CI 0.03 to 0.80; SMD=0.41, 95% CI 0.03 to 0.80), without either having any heterogeneity (p>0.1) or publication bias.ConclusionsAlthough it is still early to draw a conclusion, available studies are showing promise for use of mobile device apps for treatment of individuals with ASD. More well-designed and large-scale studies focused on improving behavioural symptoms of ASD are warranted.PROSPERO registration numberCRD42019128362.


2009 ◽  
pp. 1029-1046
Author(s):  
Panu Korpipää ◽  
Jukka Linjama ◽  
Juha Kela ◽  
Tapani Rantakokko

Gesture control of mobile devices is an emerging user interaction modality. Large-scale deployment has been delayed by two main technical challenges: detecting gestures reliably and power consumption. There have also been user-experience- related challenges, such as indicating the start of a gesture, social acceptance, and feedback on the gesture detection status. This chapter evaluates a solution for the main challenges: an event-based movement interaction modality, tapping, that emphasizes minimal user effort in interacting with a mobile device. The technical feasibility of the interaction method is examined with a smartphone equipped with a sensor interaction cover, utilizing an enabling software framework. The reliability of detecting tapping is evaluated by analyzing a dataset collected with the smartphone prototype. Overall, the results suggest that detecting tapping is reliable enough for practical applications in mobile computing when the interaction is performed in a stationary situation.


2019 ◽  
Vol 01 (03) ◽  
pp. 161-175
Author(s):  
DuraiPandian M

The mobile cloud computing, that enables the mobile device application to be hosted, equipped and constructed by the cloud-computing has become more prominent among wide range of application and the concerns that range either in the small-scale or the large-scale. This lead to the overcrowded accessing of the mobile clouds which lead to insufficiency of resources and the latency in the service provisioning. The possible researches emerged with the solutions of load balancing, but the in capabilities in the traditional load balancing developed were in compatible with the mobile cloud computing. So the paper details the survey on the virtual load balancing techniques available and their employment in the mobile cloud computing to improve the balancing of the influx traffic that are addressed towards the mobile cloud computing.


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