The Study on Service Design Development for Pharmacy Users: Using Smart Phone Application

Smart home can apply new internet of things concepts along cloud service technologies. This paper introduces a novel method for smart home system building. The system is driven by use case and it is composed of home control center, zigbee end devices, smart phone applications and cloud server. The home control center is based on arm-linux embedded system, it is the relay of cloud server and home devices. Wireless network of smart home devices was designed according to zigbee. A smart phone application was developed as the role of the user interface.

Download Full-text

Smart phone application for connected vehicles and smart transportation

Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference on - MiddlewareDPT '13 ◽

10.1145/2541614.2541627 ◽

2013 ◽

Cited By ~ 2

Author(s):

Yingqi Yue ◽

Kaiwen Zhang ◽

Hans-Arno Jacobsen

Keyword(s):

Smart Phone ◽

Connected Vehicles ◽

Smart Transportation ◽

Smart Phone Application

Download Full-text

The validation study on a three-dimensional burn estimation smart-phone application: accurate, free and fast?

Burns & Trauma ◽

10.1186/s41038-018-0109-0 ◽

2018 ◽

Vol 6 ◽

Cited By ~ 4

Author(s):

A. K. W. Cheah ◽

T. Kangkorn ◽

E. H. Tan ◽

M. L. Loo ◽

S. J. Chong

Keyword(s):

Surface Area ◽

Body Surface Area ◽

Body Surface ◽

Validation Study ◽

Total Body Surface Area ◽

Three Dimensional ◽

Smart Phone ◽

Conventional Methods ◽

Total Body ◽

Smart Phone Application

Abstract Background Accurate total body surface area burned (TBSAB) estimation is a crucial aspect of early burn management. It helps guide resuscitation and is essential in the calculation of fluid requirements. Conventional methods of estimation can often lead to large discrepancies in burn percentage estimation. We aim to compare a new method of TBSAB estimation using a three-dimensional smart-phone application named 3D Burn Resuscitation (3D Burn) against conventional methods of estimation—Rule of Palm, Rule of Nines and the Lund and Browder chart. Methods Three volunteer subjects were moulaged with simulated burn injuries of 25%, 30% and 35% total body surface area (TBSA), respectively. Various healthcare workers were invited to use both the 3D Burn application as well as the conventional methods stated above to estimate the volunteer subjects’ burn percentages. Results Collective relative estimations across the groups showed that when used, the Rule of Palm, Rule of Nines and the Lund and Browder chart all over-estimated burns area by an average of 10.6%, 19.7%, and 8.3% TBSA, respectively, while the 3D Burn application under-estimated burns by an average of 1.9%. There was a statistically significant difference between the 3D Burn application estimations versus all three other modalities (p < 0.05). Time of using the application was found to be significantly longer than traditional methods of estimation. Conclusions The 3D Burn application, although slower, allowed more accurate TBSAB measurements when compared to conventional methods. The validation study has shown that the 3D Burn application is useful in improving the accuracy of TBSAB measurement. Further studies are warranted, and there are plans to repeat the above study in a different centre overseas as part of a multi-centre study, with a view of progressing to a prospective study that compares the accuracy of the 3D Burn application against conventional methods on actual burn patients.

Download Full-text

Innovative Method for Efficient Real Time Online Well Monitoring to Enhance Crew Respond Time in Marginal Field

10.2118/205795-ms ◽

2021 ◽

Author(s):

Dias Anugrah Massewa ◽

Muhammad Rifaat ◽

Ferdyan Ihza Akbar ◽

Rahmanda Fadri ◽

Denny Mulia Akbar ◽

...

Keyword(s):

Real Time ◽

Human Error ◽

Smart Phone ◽

Wide Field ◽

C Language ◽

Measurement Tools ◽

Production Crew ◽

Marginal Field ◽

The Impact ◽

Smart Phone Application

Abstract Previously, well monitoring in Siak block relied on production crew scheduled tour that needed six hours to complete one cycle of all wells in Lindai field. This paper describes the utilization of digital technology to observe well parameters while sending notification if there is any anomaly regarding those parameters through smart phone application or website. Smart microcontroller was installed in wellhead panel and three sensors are mounted in desired point around wellhead to perform online Intelligent Well Monitoring (IWM) for well’s parameters. If abnormality occurs, real time notification would be sent to user’s smart phone application or website by using global mobile communication system (GSM) signal. The parameters monitored were pressure, temperature, and load because they are essential to be analyzed as initial diagnosis of well problem. Based on the readings, production team could quickly perform troubleshooting to prevent loss production opportunity (LPO). The programming of this smart microcontroller used C language as data compiler. This method was tested in one of the wells in Lindai field, which has the highest oil production. After three months of surveillance, in terms of data quality, the values shown by this tool had only five percent differences compared to manual survey using calibrated measurement tools. Additionally, the parameters could be monitored online, real time, and gave the notification directly to users should there be any issues. Moreover, this tool could reduce the response time of the field crew significantly from six hours following the conventional field tour to only in five minutes by relying on real time notification. In addition, the operational cost of this tool was 82% cheaper compared to other well-known online monitoring tool available in the market so it is considered economical. In the long term, this tool will be implemented on all wells in Siak block for integrated real time monitoring. Furthermore, the impact of field scale implementation will be much greater such as increasing data accuracy by eliminating human error from manual well checking and improving safety of the crew by reducing the possibility of fatigue. The utilization of smart microcontroller for online well monitoring is beneficial for marginal field with high number of wells and wide field coverage. Earlier, real time well monitoring is usually considered expensive investment that rarely become priority. However, the implementation of IoT (Internet of Things) by using this tool can be the game changer in marginal field and maximize the well’s production by reducing LPO.

Download Full-text