scholarly journals Designing a prototype for Mentally Challenged and Alzheimer Patients

Author(s):  
Dr. K. Saravanan ◽  
Abhinav Anand ◽  
Chinmaya Kumar Nayak ◽  
Ayush Anand ◽  
Deepak Kumar

This work is the prototype of this system is mobile application which uses the GPS technology to track the patient and it help the gathering of information from satellites in order to find the exact coordinate of the Alzheimer patient, whenever the patient move away fro thr specific boundary which is given in the tracker like mobile and the mobile tracks the GPS location and the location send a message in the computer or smartphone through the cellular network system that the patient is out of location or boundary.

This paper presents a system that is used in one of the most important fields in our daily life, shopping and entertainment. The system exploits a mobile application, Quick Response (QR) code technique and network system. The QR tag is attached to each item in the market, while the mobile application can be installed in the Smart Phone. The smart phone is used to scan the attached QR tag and send the result to a network system and the network system will process the received data. A brief information will be brought from the local server database. However, if the customer is interested in more details, the network system brings these details from the main server and applies them on the smart phone screen. When the customer decides to buy the item, s/he can add it to the shopping list, then the system updates the bill, sends it back to the customer and to the cashier at the same time. The items will be prepared at the checkout point after payment. This system was designed, implemented, and tested practically so that the performance of that system is achieved for two main points: quick attainment of information and network congestion avoidance.


2020 ◽  
Vol 8 (4) ◽  
pp. 285-296
Author(s):  
Widad Kadhim ◽  
Salih M. Al-Qaraawi

This paper presents an interactive application to be used in an important entertainment place visited by young, old and children on holidays and vacations to spend fun times. The system consists of the zoo's mobile application, quick response (QR) code technology as front end, and network system as back end. The mobile application helps the visitor to scan the QR tag that attached on each animal's cage to send the request to a network system that processes the request and returns the result to the visitor's mobile screen in the form either text or text to speech. on the other side, the network system consists of a network provider to provide services that enable the visitor's mobile to access the system and the main server which contains animal's information in three languages; English, Arabic and French. The system provides several capabilities, such as playing audio files stored in the server which contains the animal’s voice. The visitor can also see a list of pets that the zoo administration has offered for sale where the visitor can buy any pet that he/she wants. The aim of this system is to facilitate the visitor's tour of the zoo by using modern technology to make the tour fun and non-routine.


Author(s):  
K. İleri ◽  
A. Duru ◽  
İ. R. Karaş

Abstract. Alzheimer’s is a degenerative disease meaning that it gets worse with time. Memory loss, speaking problems, wandering, and getting lost are some of the signs of the disease. The risk of wandering results in high demand for extensive monitoring solutions for the patients suffering from the disease. Tracking solutions are crucial, especially for family members and caregivers, so researchers develop new wearable tracking devices to overcome missing patients. GPS technology can provide location data with high accuracy, but it is not sufficient to use only by itself. Thus, a more extensive solution should be provided. In this paper, a mobile wearable tracking device that can provide data to the mobile application through internet has been developed for patient tracking purposes.


2019 ◽  
Vol 4 (1) ◽  
pp. 30-38
Author(s):  
Desy Ika Puspitasari ◽  
Zaenuddin Zaenuddin ◽  
Fitrah Yuridka

The occurrence of a tire leak in the middle of a trip can often be caused by many things, such as being hit by a sharp object, the age of the tire is too old, leaking in the former patches, or it can be caused by others. These factors make vehicle users panic and think to immediately find the nearest tire repair location. Almost everyone has a smartphone where there is a Google Map application by utilizing GPS technology so as not to get lost when driving, with GPS technology can be estimated the distance between one location and another. The purpose of this study is to produce a GIS mobile application that provides a tire patch location search feature with information, so that it is expected to be useful for vehicle users if they experience a tire accident or erupt on the road. The workshop information that is presented is the opening / closing time of the workshop, there are nitrogen added facilities or not, tubeless tire patches, can repair motorcycle tire patches or can also tire the car and the contact of the workshop owner, so you can directly contact the nearest tire patch. The results of testing the user's response to the use of the application indicate that the application is useful.


2019 ◽  
Vol 3 (1) ◽  
pp. 17-22
Author(s):  
Miftachul Huda ◽  
Indah Lestari ◽  
Anggy Trisnadoli

Family Tracking is a mobile application that utilizes GPS technology to find out the location of each family member. There are several features such as the activity schedule, group chat, and the supervision area added by parents to the child's activity schedule. This application was developed with hybrid approach using Ionic 3 Framework development tools with support of Firebase backend. With the hybrid approach can produce multi-platform applications using the same source code. In this research the application was developed for the Android and iOS platforms. Based on functionality testing in accordance with ISO 9126-2 standards, that all features and functions contained in the application run well on both platforms. Then based on the application performance testing on each device that has the same benchmark value, the application can run stablen iOS devices but has the highest memory usage compared to Android devices with an average difference of 33.81mb. And then applications on iOS devices have lower CPU usage than Android devices, with differences in usage averaging 18.79%. Then based on the results of interviews to get user feedback, the results show that the application can running well and function as expected on Android and iOS devices.


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