Context-Aware Recommendation Model based on Mobile Application Analysis Platform

2015 ◽  
Vol 75 (22) ◽  
pp. 14783-14794 ◽  
Author(s):  
Ahyoung Kim ◽  
Junwoo Lee ◽  
Mucheol Kim
Keyword(s):  
Mobile Application ◽  
Context Aware ◽  
Model Based ◽  
Application Analysis ◽  
Analysis Platform

scholarly journals Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application

2020 ◽  
Vol 52 (2) ◽  
pp. 61-73
Author(s):  
Jacek Bernard Marciniak ◽  
Hubert Janicki
Keyword(s):  
Mobile Application ◽  
3D Model ◽  
Indoor Navigation ◽  
Navigation Systems ◽  
Two Dimensional ◽  
Game Engine ◽  
Main Building ◽  
Model Based ◽  
University Of Technology ◽  
Source Data

AbstractThe aim of the study presented in this article is to identify and analyse the problems which arise when creating a 3D model based on two-dimensional data and its import into a game engine and then developing algorithms to automate this process. The authors decided that they would use the Unity game engine to create an application presenting the results of modelling the interior of the Main Building of the Warsaw University of Technology. The work was divided into stages in which problems related to the adopted method were identified and the automation of selected activities was suggested. The main tasks performed during the study included processing the source data into a 3D model along with the correction of errors made during this process, detailing the model by adding characteristic elements of the building’s interior, and creating the so-called game scene in the Unity game engine along with the implementation of the application’s behaviour. The developed software can be integrated with indoor navigation systems, and the implemented scripts can be used during the preparation of other models.

scholarly journals PALOT: Profiling and Authenticating Users Leveraging Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2832 ◽  
Author(s):  
Pantaleone Nespoli ◽  
Mattia Zago ◽  
Alberto Huertas Celdrán ◽  
Manuel Gil Pérez ◽  
Félix Gómez Mármol ◽  
...  
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
System Model ◽  
Context Aware ◽  
Behavioral Patterns ◽  
Extended Version ◽  
Model Based ◽  
Continuous Authentication ◽  
Authentication And Authorization ◽  
Formal Information

Continuous authentication was introduced to propose novel mechanisms to validate users’ identity and address the problems and limitations exposed by traditional techniques. However, this methodology poses several challenges that remain unsolved. In this paper, we present a novel framework, PALOT, that leverages IoT to provide context-aware, continuous and non-intrusive authentication and authorization services. To this end, we propose a formal information system model based on ontologies, representing the main source of knowledge of our framework. Furthermore, to recognize users’ behavioral patterns within the IoT ecosystem, we introduced a new module called “confidence manager”. The module is then integrated into an extended version of our early framework architecture, IoTCAF, which is consequently adapted to include the above-mentioned component. Exhaustive experiments demonstrated the efficacy, feasibility and scalability of the proposed solution.

Supply chain architecture model based in the industry 4.0, validated through a mobile application

2017 ◽  
Vol 10 (32) ◽  
pp. 1581-1594 ◽  
Author(s):  
Jose Ignacio Rodriguez Molano ◽  
Leonardo Emiro Contreras Bravo ◽  
Edwin Rivas Trujillo
Keyword(s):  
Supply Chain ◽  
Mobile Application ◽  
Industry 4.0 ◽  
Architecture Model ◽  
Model Based ◽  
Chain Architecture

scholarly journals ADDietCoach - A Personalized Virtual Diet Coach for Alzheimer’s Disease

2021 ◽  
Vol 12 (6) ◽  
pp. 0-0
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Knowledge Base ◽  
Healthy Eating ◽  
General Health ◽  
Mobile Application ◽  
Use Cases ◽  
Context Aware ◽  
Food And Nutrition ◽  
Nutrition Assistance

The aging population worldwide is expected to increase the prevalence of Alzheimer’s disease. As there is no medical curative treatment for this disease to date, alternative treatments have been applied to improve the patient’s brain and general health. One of these efforts includes providing Alzheimer’s patients with proper food and nutrition. In this paper, we propose a knowledge-powered personalized virtual coach to provide diet and nutrition assistance to patients of Alzheimer’s and/or their informal caregivers. The virtual coach is built on top of an ontology-enhanced knowledge base containing knowledge about patients, Alzheimer’s disease, food, and nutrition. Semantics-based searching and reasoning are performed on the knowledgebase to get personalized context-aware recommendation and education about healthy eating for Alzheimer’s patients. The proposed system has been implemented as a mobile application. Evaluation based on use cases has demonstrated the usefulness of this tool.

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