Wireless electronic tourist guide system based on microcontroller

Author(s):  
Shiwang Chen ◽  
Yong J. Yuan
Author(s):  
Sawsan Alshattnawi

Cloud Computing technologies support mobile applications and overcome the low computation resources and limited data storage by providing an on-demand access with pay-as-use rule to large number of computing resources. In this paper, the author describes the architecture of an electronic tourist guide system (Trip@Cloud) as mobile cloud computing application wherein the tourists can access cloudy information in ubiquitous and pervasive manner. The information needs not to be over the user's mobile device, but it will be downloaded to user's device according to user's location and the Internet status connection. The interaction between the mobile device and the cloud is done when possible and transparently from the user. The existing architectures of partitioning the application between the device and the cloud depends deeply on the CPU workloads. The author’s application's nature is different from these applications and this represents the main contribution. The idea is to download the data to the user's device according to the current user location. Therefore the partitioning is done for the data to be sent to the mobile device. This idea is applied by developing a tourist guide application where the data to be installed is very huge and the mobile storage device is very limited.


2011 ◽  
Vol 58-60 ◽  
pp. 2134-2140
Author(s):  
Yan Bing Du

By analyzing the features of ETG (Electronic Tourist Guide) system, this paper discussed the key technologies about its implementation: Map matching, attractions positioning and guide, route planning. We focus on solving map matching problem based on interpolation method and weight-based map matching algorithm, then we propose an attractions positioning and guide process; and also working on the route planning problem through an improved Ant colony algorithm.


2016 ◽  
Vol 2016 ◽  
pp. 1-6
Author(s):  
Ada Ip ◽  
Raymond Asamoah-Barnieh ◽  
Diane P. Bischak ◽  
Warren J. Davidson ◽  
W. Ward Flemons ◽  
...  

Background. Timely pulmonary function testing is crucial to improving diagnosis and treatment of pulmonary diseases. Perceptions of poor access at an academic pulmonary function laboratory prompted analysis of system demand and capacity to identify factors contributing to poor access.Methods. Surveys and interviews identified stakeholder perspectives on operational processes and access challenges. Retrospective data on testing demand and resource capacity was analyzed to understand utilization of testing resources.Results. Qualitative analysis demonstrated that stakeholder groups had discrepant views on access and capacity in the laboratory. Mean daily resource utilization was 0.64 (SD 0.15), with monthly average utilization consistently less than 0.75. Reserved testing slots for subspecialty clinics were poorly utilized, leaving many testing slots unfilled. When subspecialty demand exceeded number of reserved slots, there was sufficient capacity in the pulmonary function schedule to accommodate added demand. Findings were shared with stakeholders and influenced scheduling process improvements.Conclusion. This study highlights the importance of operational data to identify causes of poor access, guide system decision-making, and determine effects of improvement initiatives in a variety of healthcare settings. Importantly, simple operational analysis can help to improve efficiency of health systems with little or no added financial investment.


2015 ◽  
Vol 53 (10) ◽  
pp. 963-967 ◽  
Author(s):  
Kristof Boa ◽  
Endre Varga ◽  
Gabor Pinter ◽  
Akos Csonka ◽  
Istvan Gargyan ◽  
...  

2014 ◽  
Vol 687-691 ◽  
pp. 2728-2731
Author(s):  
Yan Hu

In this paper, a design and an implementation on an intelligent guide system based on Android platform is proposed. The hardware of system is based on ARM platform, and the schematics of its main modules such as power, SDRAM are given. Then Android operation system is transplanted on the ARM platform. On this basis, the application software is developed using Eclipse and Android SDK, and it is consisted of three modules: multimedia application, web maps and recording. The module of multimedia application includes audio, picture and video. Web maps can display Google Maps on the device and achieve positioning. The record module has implemented the several normal operation on a record, such as creating, modifying and displaying.


2009 ◽  
Vol 13 (3) ◽  
pp. 370-379 ◽  
Author(s):  
Jung-Eun Lim ◽  
O-Hoon Choi ◽  
Hong-Seok Na ◽  
Doo-Kwon Baik
Keyword(s):  

Author(s):  
Ileana L Pina ◽  
Nancy M Albert ◽  
Gregg M Fonarow ◽  
Gloria Catha ◽  
Patrick Wayte ◽  
...  

Background: Telemonitoring (Tel) of heart failure (HF) patients (pts) post discharge has had variable results. However, Tel systems have not always integrated delivery of relevant pt education. The purpose of this study was to examine outcomes after implementation of the Intel Health Guide System (HGS). HGS was deployed with AHA guideline-based HF protocols for clinical status, symptoms and delivery of relevant pt education to enhance pts’ understanding of and management of HF. Methods: Twenty-six pts post discharge with a HF diagnosis were enrolled. Based on the pts’ clinical status, AHA-HF protocols were deployed into the HGS to assess key vital signs and health questions daily, weekly, or monthly for 60 days. Pts and caregivers were trained in use of the HGS and related peripherals, response to scheduled sessions, and access of educational content independent of scheduled sessions. Health status was assessed by Kansas City Cardiomyopathy Questionnaire (KCCQ) pre and post monitoring. Results: Of 26 pts, 62% NYHA were Class II, 29% Class III. Mean age 75.2 ±10.1 yrs; 62% women; 39% African Americans; 23% ischemic. Mean EF = 47% ±16. Adherence was 88%. KCCQ Clinical and Overall scores increased significantly from 49±25 and 51±23 to 63±26 and 65±22, respectively (p=0.039). Thirteen pts (50%) were rehospitalized at mean of 16+5 days, 4 for HF and 9 for other reasons, (30 day rehospitalization rate = 23% all cause; 15% for HF). Median compliance (completing scheduled sessions) and utility (days with activity/monitored) for those not rehospitalized were greater (97.2%, 96.9%) than for those rehospitalized (67.4%, 82.6%; p=0.013, p=0.005, respectively). Using generalized estimating equations, greater utility but not compliance correlated with better health status’ clinical (p=0.013) and overall scores (p=0.0056). Conclusions: This observational study showed feasibility of adding AHA-HF guideline protocols and education content to the HGS. Health status improved post discharge. Although the rehospitalization rate was > 20%, pts who were not readmitted were more likely to have greater Tel utility and compliance. In addition, clinical and overall health status measures improved during the study, and were associated with greater pt utilization of the system.


Sign in / Sign up

Export Citation Format

Share Document