scholarly journals Q-CAM: Queue Monitoring System using Camera

2021 ◽  
Vol 5 (5) ◽  
pp. 137-145
Author(s):  
Farah Nadiah Mohammad Ramlee ◽  
Radzi Ambar ◽  
Mohd Helmy Abd Wahab ◽  
Chew Chang Choon ◽  
Muhammad Mahadi Abd Jamil
Keyword(s):  
Monitoring System ◽  
Smartphone Application ◽  
Smartphone App ◽  
Service Companies ◽  
Hardware Development ◽  
Queue Monitoring ◽  
Time Required ◽  
Waiting Line ◽  
Hardware Designs ◽  
Mit App Inventor

Development and design of mobile queue counter monitoring system is an alternative way for people who visit service premises to monitor queue number through phone without having to be at the place to wait for their turn. A long waiting line and waiting time are the reasons why this project had been developed. Many related systems had been introduced by different companies but due the high cost of installation and maintenance, some service companies had difficulties to implement the system. However, the proposed mobile queue counter monitoring system called Q-CAM is an add-on device which will be installed with the existing system and uses only ESP32 camera and FTDI Programmer as hardware development. A smartphone application is developed by using MIT App Inventor to ease the customer to monitor queue number on the app. In this work, the hardware designs of the propose device is described. Furthermore, the steps to develop the smartphone app is demonstrated. Preliminary experimental results show that the average time required to display a captured queue number image on the app were 5 seconds (during strong Wi-Fi signal) and 10.8 seconds (during weak Wi-Fi signal).

scholarly journals Development of Smartphone Application Based on the Theory of Planned Behaviour to Enhance Self-Efficacy for Online Learning

2018 ◽  
Vol 12 (4) ◽  
pp. 135 ◽  
Author(s):  
Chattavut Peechapol ◽  
Jaitip Na-Songkhla ◽  
Siridej Sujiva ◽  
Arthorn Luangsodsai
Keyword(s):  
Online Learning ◽  
Self Efficacy ◽  
Theory Of Planned Behaviour ◽  
Smartphone Application ◽  
Smartphone App ◽  
Control Group ◽  
Online Learners ◽  
Planned Behaviour ◽  
Post Test ◽  
Experimental Group

This study was conducted to develop a smartphone application to enhance self-efficacy for online learning. The theory of planned behaviour (TPB) was used as a framework for developing the smartphone app. The study used research and design (R&amp;D) through three phases: 1)<strong> </strong>examining relevant literature and interviewing recognized experts in the field, 2) developing the smartphone app, and 3) studying the effect of the smartphone app on the self-efficacy of online learners. The results demonstrated that the framework of the smartphone application based on the TPB comprised six components. They were 1) the TPB’s concept for online learning, 2) instructional process, 3) instructional support tools, 4) application features, 5) instructor’s role, and 6) learner’s role. For technical aspects, the smartphone app was developed and deployed by using Amazon Web Service (AWS) cloud computing platform and infrastructure. Studying the effect of the application on self-efficacy was performed for four weeks using two groups in a pre-test/post-test design. The research method involved purposive sampling of 180 undergraduate students, consisting of a 90-student experimental group and a 90-student control group. The application based on the TPB and the application without the TPB were implemented in the experimental group and the control group, respectively. The results demonstrated that the post-test score of self-efficacy in online learning for the experimental group was statistically significantly higher than the control group at 0.05 level. This result showed that the smartphone app based on the TPB could significantly affect self-efficacy for online learners; it has the potential to be an effective tool for teaching an online course.

scholarly journals Sistem Keamanan Pintu dan Jendela Rumah Berbasih IoT

2020 ◽  
Vol 5 (2) ◽  
pp. 266
Author(s):  
Wahyuni Kurniasih ◽  
Abdul Rakhman ◽  
Irma Salamah
Keyword(s):  
Monitoring System ◽  
Smartphone Application ◽  
The State ◽  
Security System ◽  
Raspberry Pi ◽  
Security Monitoring ◽  
Home Security ◽  
Security Monitoring System ◽  
At Home

The house is the most valuable asset, therefore security at home is also very important. Therefore a home security system is created that combines a microcontroller with an Android smartphone application. The microcontroller used is the Raspberry Pi which is equipped with a camera as a home security monitoring system and various sensors as detectors such as magnetic, PIR sensors and solenoids as automatic door locks. So if the sensors that are installed detect something at home, then the homeowner will immediately get a notification sent by the database to the smartphone application, and the homeowner can monitor the state of the house right then through photos and videos recorded by cameras that have been installed at home.

A 6-Month Randomized Trial of a Smartphone Application, UControlDrink, in Aiding Recovery in Alcohol Use Disorder

2021 ◽  
pp. 1-12
Author(s):  
Conor Farren ◽  
Aoife Farrell ◽  
Aisling Hagerty ◽  
Cliodhna McHugh
Keyword(s):  
Alcohol Use ◽  
Text Messaging ◽  
Alcohol Use Disorder ◽  
Positive Impact ◽  
Controlled Trial ◽  
Intervention Group ◽  
Heavy Drinking ◽  
Smartphone Application ◽  
Smartphone App ◽  
Control Group

<b><i>Background and Aims:</i></b> Alcohol use disorder (AUD) is a substantial problem, causing early death and great economic burden. Research has highlighted the potential positive impact of technological interventions, such as smartphone applications (app) in treatment of AUD. The aim of this study was to explore the effectiveness of a smartphone app, incorporating computerized cognitive behavioural therapy and text messaging support, on alcohol outcomes over 6 months in a post-rehabilitation setting. <b><i>Methods:</i></b> A total of 111 participants with AUD were recruited into this randomized controlled trial, following completion of a 30-day rehabilitation programme. The intervention group (<i>n</i> = 54) used the smartphone app “UControlDrink” (UCD) over 6 months with treatment as usual (TAU), and the control group (<i>n</i> = 57) received TAU. All subjects suffered from AUD as the primary disorder, with other major psychiatric disorders excluded. All intervention subjects used the UCD smartphone app in the treatment trial, and all subjects underwent TAU consisting of outpatient weekly support groups. Drinking history in the previous 90 days was measured at baseline and at 3- and 6-month follow-ups. Additional measurements were made to assess mood, anxiety, craving, and motivation. Results were analysed using intention-to-treat analyses. <b><i>Results:</i></b> Retention in the study was 72% at 3 months and 52% at 6 months. There was a significant reduction in heavy drinking days in the intervention group relative to TAU over the 6 months, <i>p</i> &#x3c; 0.02. <b><i>Conclusions:</i></b> The UCD smartphone app demonstrates a significant benefit to reducing heavy drinking days over a 6-month post-rehabilitation period in AUD.

Abstract 350: Impact on Knowledge Retention on CPR Using a Smartphone App in Teenagers

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Felipe M Crepaldi ◽  
Miguel A Moretti ◽  
Bárbara G Maya ◽  
Beatriz G Magnoni ◽  
Giane P Costa ◽  
...  
Keyword(s):  
Cardiopulmonary Arrest ◽  
Smartphone Application ◽  
Knowledge Retention ◽  
Smartphone App ◽  
Practical Skills ◽  
Mean Values ◽  
Practical Evaluation ◽  
Group Control ◽  
Retention Of Knowledge ◽  
Age And Sex

Cardiopulmonary arrest occurs more frequently outside the hospital, often in the presence of a teenager. Studies show that knowledge retention of basic procedures in CPR tends to decrease with time. Hypothesis: To evaluate the contribution to learning and retention of CPR techniques using a smartphone application (APP) Ressuscita. Methods: An application was developed to assist the training of CPR maneuvers. One group of students (gAPP) was trained according to the BLS principles along with the App (which was installed on the smartphones) and the group control (gCT) received the same training, without the APP. Both groups were evaluated at 3 moments, immediately after the first training (T0), 3 months (T3m) and 6 months later (T6m). Theoretical and practical evaluations were performed. After the 3-month, the gCT was received the APP (they were also able to keep the APP). The groups were matched for age and sex. Data were subjected to statistical analysis and treated as mean values and standard deviation. Shapiro-Wilk test, Mann-Whitney test and t test were used. Results: 93 teenagers were trained, with a mean age of 14 years, 49 in gAPP and 44 in gCT. The graphics show that they were homogeneous and at the end of the training presented the same grade profile in the theoretical and practical evaluation. After 3 months, the gAPP had a better knowledge and retention profile. In the practical evaluation the gAPP demonstrated a smaller reduction in score compared to those with gCT: 0.1 + 0.2 steps vs. 2.1 + 0.3 steps (p <0.001). After six months, the groups returned to the same profile of knowledge and retention. Detailing the practical evaluation, the practical skills were the most improved with the application. Conclusion: There was greater retention of knowledge, especially skills, in relation to CPR maneuvers in individuals trained with the app.

scholarly journals Smartphone App (2kmFIT-App) for Measuring Cardiorespiratory Fitness: Validity and Reliability Study (Preprint)

2019 ◽  
Author(s):  
Adria Muntaner-Mas ◽  
Antonio Martinez-Nicolas ◽  
Alberto Quesada ◽  
Cristina Cadenas-Sanchez ◽  
Francisco B Ortega
Keyword(s):  
Operating System ◽  
Cardiorespiratory Fitness ◽  
Intraclass Correlation ◽  
Field Testing ◽  
Smartphone App ◽  
Validity And Reliability ◽  
Good Reliability ◽  
Geographically Distributed ◽  
Mean Differences ◽  
Time Required

BACKGROUND There is strong evidence suggesting that higher levels of cardiorespiratory fitness (CRF) are associated with a healthier metabolic profile, and that CRF can serve as a powerful predictor of morbidity and mortality. In this context, a smartphone app based on the 2-km walk test (UKK test) would provide the possibility to assess CRF remotely in individuals geographically distributed around a country or continent, and even between continents, with minimal equipment and low costs. OBJECTIVE The overall aim of this study was to evaluate the validity and reliability of 2kmFIT-App developed for Android and iOS mobile operating systems to estimate maximum oxygen consumption (VO2max) as an indicator of CRF. The specific aims of the study were to determine the validity of 2kmFIT-App to track distance and calculate heart rate (HR). METHODS Twenty participants were included for field-testing validation and reliability analysis. The participants completed the UKK test twice using 2kmFIT-App. Distance and HR were measured with the app as well as with accurate methods, and VO2max was estimated using the UKK test equation. RESULTS The validity results showed the following mean differences (app minus criterion): distance (–70.40, SD 51.47 meters), time (–0.59, SD 0.45 minutes), HR (–16.75, SD 9.96 beats/minute), and VO2max (3.59, SD 2.01 ml/kg/min). There was moderate validity found for HR (intraclass correlation coefficient [ICC] 0.731, 95% CI –0.211 to 0.942) and good validity found for VO2max (ICC 0.878, 95% CI –0.125 to 0.972). The reliability results showed the following mean differences (retest minus test): app distance (25.99, SD 43.21 meters), app time (–0.15, SD 0.94 seconds), pace (–0.18, SD 0.33 min/km), app HR (–4.5, 13.44 beats/minute), and app VO2max (0.92, SD 3.04 ml/kg/min). There was good reliability for app HR (ICC 0.897, 95% CI 0.742-0.959) and excellent validity for app VO2max (ICC 0.932, 95% CI 0.830-0.973). All of these findings were observed when using the app with an Android operating system, whereas validity was poor when the app was used with iOS. CONCLUSIONS This study shows that 2kmFIT-App is a new, scientifically valid and reliable tool able to objectively and remotely estimate CRF, HR, and distance with an Android but not iOS mobile operating system. However, certain limitations such as the time required by 2kmFIT-App to calculate HR or the temperature environment should be considered when using the app.

scholarly journals Garage Control and Monitoring System using Fuzzy Logic Method Based on User Distance and Speed

2021 ◽  
Vol 11 (4) ◽  
pp. 208-213
Author(s):  
Aida Ulfia Rochmah ◽  
Mochammad Junus ◽  
Azam Muzakhim Imammuddin
Keyword(s):  
Fuzzy Logic ◽  
Monitoring System ◽  
Color Change ◽  
Data Retrieval ◽  
Smartphone Application ◽  
Servo Motor ◽  
Security Systems ◽  
Automatic Mode ◽  
Fuzzy Logic Method ◽  
Control And Monitoring System

The increase in private vehicles number will also increase the number of crimes such as vehicle theft. So the owner must have a garage to increase security. However, generally security systems still use standard security. So, a system was developed to improve security and make it easier to be more effective using the ESP32 microcontroller to process the user's distance and speed values ??to control the rolling door using fuzzy logic, monitor whether or not vehicles are in the garage through a smartphone application, manage the queuing system on the smartphone application and find out the quality of the network used. Data retrieval is done by testing the hardware performance, namely the MG996R Servo Motor, ultrasonic sensor HC-SR04, Magnetic Switch MC-38, Infrared Sensor, Buzzer Module, and 1W HPL LED and the performance of smartphone application software made using Android Studio. From the test results, the speed of the servo motor with forward rotation is obtained from fuzzy logic processing to get the maximum and minimum values. A monitoring system to determine the presence or absence of a car in the garage by utilizing the color change of the view on the smartphone application. In automatic mode the smartphone application uses a queue system, where only one user can use the application, so other users cannot access the smartphone application and receive notifications. Based on the ITU-T standard, network quality testing (QOS) using wireshark software with parameters delay, packet loss and throughput gets a very good category value.

scholarly journals IoT health monitoring system for preventing and controlling risk in confined space using microcontrollers

2019 ◽  
Vol 8 (4) ◽  
pp. 619
Author(s):  
H. A. Saeed ◽  
M. H. Mazlan ◽  
A. H. Ibrahim ◽  
H. E. Hamzah ◽  
H. H. Qasim ◽  
...  
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Smartphone Application ◽  
Heart Beat ◽  
Confined Space ◽  
Health Monitoring System ◽  
Healthcare Monitoring ◽  
Science Community ◽  
Heart Beat Rate ◽  
Rate Sensor

Healthcare monitoring is a field that caught many researchers from the computer science community in the last decade. In the literature, various levels of people have been considered when proposing a health monitoring system. However, some aspects are still not adequately tackled such as monitoring workers’ health status within confined space where workers would be located in underground environment with less oxygen and a lot of dust. This paper proposes an IoT health monitor system for worker in confined places. The proposed system utilizes four types of microcontroller sensors including LM35 for measuring body temperature, heart beat rate sensor, blood pressure sensor and LPG gas sensor. All the aforementioned sensors are being connected via a GPS module in order to transmit the readings into a smartphone application. A simulation has been conducted to test the proposed sensors where competitive commercial measures have been used as a benchmark. Result of simulation showed that the sensors have fair accuracy that is near-identical to the benchmark. 

scholarly journals Remote Parkinson's disease monitoring system: from smartphone to cloud platform

2019 ◽  
pp. 21-25
Author(s):  
О.В. Бережний ◽  
T.O. Білобородова ◽  
І.С. Скарга-Бандурова
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Monitoring System ◽  
Data Transmission ◽  
Cloud Storage ◽  
Smartphone Application ◽  
Sensor Data ◽  
Common Symptom ◽  
Cloud Platform ◽  
Smartphone Sensors

Parkinson's disease (PD) is a slowly progressive disorder that affects movement, muscle control, and balance. The earlier treatment can prevent the disease from developing and to prolongate the diseases prodromal phase. In this context, home monitoring services are potentially powerful tools for remote diagnosis and can improve healthcare services. Tremor is the most common symptom of a PD disorder and it has several advantages for continuous PD symptoms monitoring. The developing of solution based on smartphone sensors that allow remote monitoring of the monitored user is present. The connection between the smartphone application and cloud platform for smartphone sensors data transmission for early tremor symptoms detection is developed. It includesdeveloping of configuration of smartphone application for sensor data transmission and developing of configuration of a cloud platform for tremor symptoms monitoring. The active tests were developed to capture a motor disorder, that indicates PD symptom such as tremor.  Initial trials of the developing demonstrated that the monitoring system has the ability to real-time data acquisition and transmission using smartphone sensors and cloud storage. The connection settings developed for the system proved to be efficient when sensor data transmitted from the smartphone to cloud storage. The period of time required to transfer data to the cloud equal to the period of time less than one second.

scholarly journals Using ESN-Smartphone Application to Maximize AIS Reperfusion Therapy in Alexandria Stroke Network: A Stroke Chain of Survival Organizational Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Ossama Yassin Mansour ◽  
Ismail Ramadan ◽  
Amer Elfatatry ◽  
Mohamed Hamdi ◽  
Ashraf Abudu ◽  
...  
Keyword(s):  
Developing Countries ◽  
Smartphone Application ◽  
Reperfusion Therapy ◽  
Stroke Management ◽  
Clinical Workflow ◽  
Significant Drop ◽  
Stroke Treatment ◽  
Symptomatic Intracerebral Hemorrhage ◽  
Pilot Experience ◽  
Time Required

Background: In developing countries like Egypt, the clinical workflow of stroke management is poorly established due to the lack of awareness of the stroke patients concerning their need of therapeutic intervention and the poor identification of facilities equipped to treat stroke. Hence, establishing a stroke system of care in developing countries that can efficiently and rapidly triage patients to the appropriate reperfusion therapy center is imperative to improving stroke management and outcomes.Aims: To evaluate a pilot experience in stroke hospital identification and expediting decision-making in AIS treatment through the Alexandria stroke network and Egyptian Stroke Network (ESN)-app.Methods: Between 2017 and 2019, seven hospitals registered themselves on the AS-Network as pilot hospitals. The ESN-application was used to detect stroke type, tele-connect stroke teams and hospitals, track triage of patients to equipped facility in real time, and streamline stroke workflow. The quality of and time required for stroke management were compared between 84 patients with acute ischemic stroke (AIS) whose treatment involved the ESN-app and 276 patients whose treatment did not.Results: During this pilot study, 360 AIS cases received reperfusion therapy, 84 of which were indicated by the ESN-app. The use of the application was associated with the significant drop in time metrics for the reperfusion AIS-patients (door-in-door-out time; 56 ± 34 min vs. 96 ± 45 min, door-to-groin puncture time; 50 ± 7 min vs. 120 ± 25 min, door-to-needle time; 55 ± 12 min vs. 78 ± 16 min with p &lt; 0.0001). Its use was also associated with higher rates of excellent outcomes at the 90-day follow-up (without ESN-app vs. with ESN-app, 67.9 vs. 47.1%, p = 0.001) but no difference in 90-day mortality or symptomatic intracerebral hemorrhage (without ESN-app vs. with ESN-app, 9.5 vs. 11.2% and 4.8 vs. 5.1%, p &gt; 0.05).Conclusion: Our pilot experience demonstrated that the use of the ESN-app expedited the stroke treatment workflow and facilitated tele-connection between registered stroke facilities. Additionally, its use might be associated with achieving higher rates of excellent outcomes at 90 days, where a larger scale study is needed for more confirmation.

Sign in / Sign up

Export Citation Format

Share Document