GPS Features Research Articles

A Review of the Aarogya Setu Digital Contact Tracing Mobile Application of the Government of India in Response to the Novel Corona Virus [COVID-19]: A Local and International Perspective

This paper reviews the Government of India’s initiative to battle the Novel Coronavirus: the release of the ‘Aarogya Setu’ digital contact tracing technology mobile application in an epidemiological context with a purpose to increase awareness of the safety precautions required to stay safe as well as to inform the application users in case they have been in close interaction with a COVID positive patient in the past few days and advises them to take the necessary precautions if needed. The Aarogya Setu application helps to track the rapid cluster and community spread of COVID-19 in India and achieves this by utilising a client-server model-based architecture involving communication from a central government database to users’ devices using GPS and Bluetooth features for data collection and dissemination to devices.Other initiatives of digital contact tracing technologies are reviewed as well, most notably Google and Apple’s provision of an application programming interface to developers worldwide which allows data capture of interactions from users’ devices.Suggestions are given to monitor and improve the security of the application due to possible misuse of users’ data and hacking by cyber criminals. Privacy suggestions have been highlighted as well such as alternatives of removing location tracking via GPS while still providing the benefits of contact tracing by using Bluetooth. Mobile application development issues are suggested such as to allow users to add their personal risk factors such as co-morbidities to get a risk factor scale in their device locally to alert the user of their risk of infection of the novel coronavirus in case they were or have come in contact with people who tested positive while keeping the information private to the user. With the rapid advancements in technology, India has the potential to make their contact tracing application even better on a large scale with enhanced usage and efficacy going forward in the battle against COVID-19.

Design of Bicycle’s Speed Measurement System Using Hall Effect Sensor

Bicycles are an easy-to-use and affordable transportation tool for all society. However, in cycling, there is no information about the speed and distance that has been taken. Whereas, these parameters are quite essential because knowing that we can adjust the speed of the bicycle if we are going to the office or school so that we can estimate the time of arrival to reach the destination. Commonly, the device used to measure the speed and distance of a bicycle is a device with a GPS feature as a system based on geographical location. However, this device measures speed by knowing the position of the user captured by the satellite, not resulting from the actual speed of a bicycle. In this research, the designed system can measure the actual speed of a bicycle using the rotational speed of a bicycle wheel. The system implemented by using the Hall Effect sensor that will detect the magnet. The microcontroller then processes the data and convert the rotation per second into linear velocity. Then, information on speed, distance, and average speed are displayed to the LCD screen. After testing and analyzing the bicycle speed and distance measuring system using the Hall Effect sensor, we can conclude that The speed and distance of a bicycle can be measured by the hall effect sensor with the number of rotations that the Hall Effect sensor can detect up to 542 revolutions/minute. The final results of speed and distance can be displayed on the LCD, with the percentage error 2-3%.

Point Clipping Algorithm on Employee Presence Application for Geolocation of Employee Position

In organizations, companies or agencies such as the Office of Communication and Information Technology, presence has become one of the critical things in assessing the performance of workers/employees. There are several ways to do attendance, where one of them can facilitate the present process with digital tools/machines such as smartphones that utilize the GPS feature to run APIs such as Google Geolocation on Android. Also, a system is needed that can manage the results of the present process, such as web-based applications that can also be accessed through either a computer or smartphone. Therefore, the need to build a presence application both in the presence and in management that can help agencies such as Office of Communication and Information (Diskominfo) to handle internal processes, especially in the management of its employees. In this study, the application in the construction of its application is used Point Clipping algorithm as a tool for the present process that can take advantage of the GPS feature. Based on the results of the tests conducted, the accuracy value of the incoming and returning attendance process was obtained in the location area with an average of each side of the area of approximately 11.21 meters at the entry point and 18.05 meters at the presence of going home outside the office, where the location area boundary outside the specified office which is around 15 meters and the time test is obtained the time delay value in the attendance process with an average of each side of the area of about 9.6 seconds at the incoming attendance and 8.3 seconds at the home attendance.

Microcontroller-based Wearable Blood Pressure Monitoring Device with GPS and SMS Feature through Mobile App

Microcontroller-based Wearable Blood Pressure Monitoring Device with GPS and SMS Feature through Mobile App

Receiver Apps Development for Emergency Reporting System Based on Android Platform

Emergency reporting application receiver was built to make emergency services office receive and respond emergency reporting reports easier. User interface of receiver application was designed simply so that users can easily use this application. Recipient application is an android-based application with 4 main pages are login, inbox, history and profile of main service office pages. The reports who sent by sender will go to inbox page, the recipient can respond the report using 2 features, text and phone features. The response given by the recipient will be stored in the response history page. By enabling the GPS feature, receiver’s device can directly access the place of sender so recipient can locate the reporter’s location easy. This is the main purpose of developing an emergency reporting application, facilitating sender and receiver to get emergency information, so assistance can be provided immediately. Reporting applications can be used by people who connected to internet connections while receiver applications are used by emergency services office such as firefighters, police stations, ambulances, car caches, terrorists and search and rescue (SAR).

Prototype Gerbang Otomatis Berbasis Mikrokontroler ATMEGA 89S51 Menggunakan GPS Android

Keamanan merupakan salah satu yang paling penting bagi setiap orang yang memiliki rumah di perkotaan. Salah satu cara yang biasa bagi pemilik rumah dalam membuat keamanan adalah dengan membangun gerbang atau pagar. Gerbang atau pagar digunakan untuk membuat suatu tanda batas luar dan dalam pekarangan rumah. Tentunya gerbang dapat ditingkatkan lagi kepraktisannya dengan menambahkan fasilitas kontrol gerbang secara otomatis. Sementara itu, perangkat elektronik seperti smartphone saat ini sudah dilengkapi fitur GPS, sehingga dapat dimanfaatkan dalam berbagai hal contoh nya adalah otomatisasi gerbang atau pagar rumah.
 Pada skripsi ini, peneliti mencoba menganalisis pokok-pokok permasalahan yang ada dan mencoba memberikan panduan kepada pemilik rumah untuk dapat menambahkan kepraktisan pada gerbang atau pagarnya dengan memanfaatkan fitur GPS yang ada di smartphone Android nya.
 Hasil dari penelitian ini adalah sebuat alat yang dapat membuka gerbang atau pagar agar dapat bekerja secara otomatis ketika saat menuju ke rumah. Selain itu, smartphone Android juga dapat digunakan untuk membuka dan menutup secara manual.

Traffic flow prediction based on optimized hidden Markov model

In order to alleviate the current urban traffic congestion pressure and provide accurate and reliable traffic condition information, it is difficult to select the optimal state parameters for the original Hidden Markov model (HMM) and the state number redundancy determined during the training process leads to the model over-provisioning. The problem of weak is integration and generalization. An improved Hidden Markov Model for traffic flow prediction is proposed to more effectively fit the actual urban road intersection traffic flow. In the calculation of the negative log-likelihood function, an Akaike information criterion (AIC) or a Bayesian information criterion (BIC) penalty term is added, and the Baum-Welch algorithm is combined to optimize the optimal state number of the model. Experiments are carried out based on the collected real traffic flow and GPS feature data. The results show that the optimized hidden Markov model is superior to the original model in the accuracy and generalization ability of traffic flow prediction.

PENERAPAN METODE PROTOTYPE DALAM PERANCANGAN APLIKASI E-LAPOR BENCANA BPBD SUMEDANG BERBASIS ANDROID

The disaster that occurred in Sumedang district was the main concern of the services provided by the BPBD of Sumedang Regency, the handling of disasters that was fast and precise became the motto of BPBD. But in practice there are many obstacles, one of which is the lack of community participation in disaster reporting and many other technical constraints. Whereas with this reporting BPBD can quickly and responsively handle the disaster. E-disaster report based on Android BPBD Sumedang district is present as an electronic disaster reporting service to overcome problems in the BPBD of Sumedang district. This e-disaster report was built using a prototype software design methodology. This methodology is very suitable for software that continues to grow such as Android-based software. With this disaster report, people can easily report disasters. The location of the disaster can also be detected with the GPS feature on the Android smartphone. The community only needs to attach a photo of the event and the description of the incident and the report will be processed immediately by the investigating officer. With this application, Sumedang District people can participate in disaster reporting, and the BPBD of Sumedang District can be helped in carrying out the handling and handling of disasters quickly and precisely in Sumedang District.

Cotton Yield Estimation from UAV-Based Plant Height

Abstract. Accurate estimation of crop yield before harvest, especially in early growth stages, is important for farmers and researchers to optimize field management and evaluate crop performance. However, existing in-field methods for estimating crop yield are not efficient. The goal of this research was to evaluate the performance of a UAV-based remote sensing system with a low-cost RGB camera to estimate cotton yield based on plant height. The UAV system acquired images at 50 m above ground level over a cotton field at the first flower growth stage. Waypoints and flight speed were selected to allow >70% image overlap in both forward and side directions. Images were processed to develop a geo-referenced orthomosaic image and a digital elevation model (DEM) of the field that was used to extract plant height by calculating the difference in elevation between the crop canopy and bare soil surface. Twelve ground reference points with known height were deployed in the field to validate the UAV-based height measurement. Geo-referenced yield data were aligned to the plant height map based on GPS and image features. Correlation analysis between yield and plant height was conducted row-by-row with and without row registration. Pearson correlation coefficients between yield and plant height with row registration for all individual rows were in the range of 0.66 to 0.96 and were higher than those without row registration (0.54 to 0.95). A linear regression model using plant height was able to estimate yield with root mean square error of 550 kg ha-1 and mean absolute error of 420 kg ha-1. Locations with low yield were analyzed to identify the potential reasons, and it was found that water stress and coarse soil texture, as indicated by low soil apparent electricity conductivity (ECa), might contribute to the low yield. The findings indicate that the UAV-based remote sensing system equipped with a low-cost digital camera was potentially able to monitor plant growth status and estimate cotton yield with acceptable errors. Keywords: Cotton, Geo-registration, Plant height, UAV-based remote sensing, Yield estimation.

SP-Loc: A crowdsourcing fingerprint based shop-level indoor localization algorithm integrating shop popularity without the indoor map

With the development of indoor localization technology, the location-based services such as product advertising recommendation in the shopping mall attract widespread attention, as precise user location significantly improves the efficiency of advertising push and brings broader profits. However, most of the Wi-Fi-based indoor localization approaches requiring professionals to deploy expensive beacon devices and intensively collect fingerprints in each location grid, which severely limits its extensive promotion. We introduce a zero-cost indoor localization algorithm utilizing crowdsourcing fingerprints to obtain the shop recognition where the user is located. Naturally utilizing the Wi-Fi, GPS, and time-stamp fingerprints collected from the smartphone when user paid as the crowdsourcing fingerprint, we avoid the requirement for indoor map and get rid of both devices cost and manual signal collecting process. Moreover, a shop-level hierarchical indoor localization framework is proposed, and high robustness features based on Wi-Fi sequences variation pattern in the same shop analysis are designed to avoid the received signal strength fluctuations. Besides, we also pay more attention to mine the popularity properties of shops and explore GPS features to improve localization accuracy in the Wi-Fi absence situation effectively. Massive experiments indicate that SP-Loc achieves more than 93% localization accuracy.

Species Mapping Using Citizen Science Approach Through IBIN Portal: Use Case in Foothills of Himalaya

In this era of rapid global change, biodiversity monitoring and improving species repository to meet requirements toward conservation is costly affairs and needs a practical solution to identify and locate species with habitats. The integrated approach of citizen science and information technologies has proven to be effective solution for geographical and taxonomical data collection with public engagement, covering local to national scale. As a first step, a mobile app is designed and developed for the IBIN (Indian Bioresource Information Network), a digitized collection of the biological resources of India that serves as a common platform to access spatial and non-spatial information on biorecources can host their data through this single and intuitive platform with full privileges and authenticity. IBIN mobile app can be seen as an efficient and rapid solution to record data on species, utilizing GPS and camera features of mobile devices. Present paper deals with the citizen science approaches, its contribution in biodiversity field, outlines the design and development of IBIN mobile app and its first case study carried out at foothills of Himalaya.

Fourier Mellin transform characterisation in the automotive environment

This paper discusses the problem of reliably estimating motion in video sequences. A core issue in this application is the registration of successive images in an image sequence of a dynamic scene. The paper examines the core characteristics of the Fourier Mellin transform (FMT) when applied to this task in the automotive environment. Of particular interest are the transformational, scale and rotational invariances of the transform. The objective of the paper is to examine the behaviour of the algorithm under wide variations in these three parameters. Images from a range of automotive scenarios are considered in this evaluation. Our main contributions are the experimental evaluations carried out on various images with a range of known translations, rotations and scale changes. The results of the experimental process allow the determination of the relationship between the transformation of image patches, and the resulting level of error in motion estimation. This helps to inform the application of the FMT, when it is effective, and where its limitations occur. The results of the experimental process described in this paper may be applied in several ways in practice. The applicability of the method may be extended through the addition of environmental variables from external sensors, i.e. CAN bus data, GPS or spatial feature ego-motion. This allows adaptive execution of the transform.

Determination of Nearest Emergency Service Office using Haversine Formula Based on Android Platform

Emergency Reporting Application is an android-based application that serves to help the community in reporting the emergency condition. This application allows users to choose and contact the emergency services office, without the need to notice their position and phone number. Selection of emergency services office is also automatically selected by the system by taking into account the distance between the complainant and the emergency services office. The selected emergency services office is the nearest emergency service office from the complainant so that the delay in coming assistance can be minimized. Therefore, this proposed application requires a GPS feature to recording, reporting and SMS positioning for message delivery of reports. The distance between the position of the complainant and the position of the emergency service office, in the form of latitude and longitude data, is requested using the Haversine formula taking into account the degree of curvature of the earth. Emergency service offices include police and hospital offices spread over 25 different districts. Furthermore, the reporter's position calculation results were compared with all selected emergency service offices and obtained 1 nearest emergency service office. Calculating the accuracy and delay value of the system will do system testing. Accuracy test results using the method of 100% Haversine and the average delay of the system is 4.5 seconds.

ASSESSMENT OF CHANGES OF LAND USE/LAND COVER OF A COMMAND AREAE IN NILE DELTA, EGYPT, USING REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM TECHNIQUES

This study aimed to detect the changes of land use of Meet Yazid commend area, in Kafr Al-Shikh and Al-Gharbia governorates during the period from summer 2013 to winter 2015 using remote sensing and GIS techniques. In this study, RapidEye images, dynamic GPS and IMAGINE objective feature extraction module were used. The results showed an increase of cultivated areas of rice from 30.06 % to 31.57 %, while wheat increased in the year 2014 and 2015 from 27.3 % to 37.9 % of the total area respectively. On the other hand, there was a decrease of cultivated areas of maize and cotton in years 2013 and 2014 from 24.64 % to 23.29 % and from 15.26 % to 14.68 % of the total area, respectively. Clover cultivated areas decreased in years 2014 and 2015 from 21.5 % to 18.5 % of the total area, respectively. The changes of the crops in these areas may be due to the change in the social and agricultural economics. The results also showed that the rate of urban encroachment increased during the study periods where results recorded increasing in urban areas from 13.64 % of total areas in summer 2013 to 14.85 % of total area in winter 2015. The study cleared that increasing in total cultivated area of crops throughout the period from summer 2013 to winter 2015 except the period summer 2014 where occurred decreasing in total cultivated areas of crops for the previous sessions. The changes in cultivated area was accompanied by changes in the areas of fish ponds in the same period, which is due to transformation in the pattern of land use from crop cultivation to aquaculture, in some areas. The results also show the ability of RapidEye images of high differentiation for land use classes as well as obtained results with high accuracy more than 90 % for all studied seasons.

The relationship between mobile phone location sensor data and depressive symptom severity

BackgroundSmartphones offer the hope that depression can be detected using passively collected data from the phone sensors. The aim of this study was to replicate and extend previous work using geographic location (GPS) sensors to identify depressive symptom severity.MethodsWe used a dataset collected from 48 college students over a 10-week period, which included GPS phone sensor data and the Patient Health Questionnaire 9-item (PHQ-9) to evaluate depressive symptom severity at baseline and end-of-study. GPS features were calculated over the entire study, for weekdays and weekends, and in 2-week blocks.ResultsThe results of this study replicated our previous findings that a number of GPS features, including location variance, entropy, and circadian movement, were significantly correlated with PHQ-9 scores (r’s ranging from −0.43 to −0.46, p-values < .05). We also found that these relationships were stronger when GPS features were calculated from weekend, compared to weekday, data. Although the correlation between baseline PHQ-9 scores with 2-week GPS features diminished as we moved further from baseline, correlations with the end-of-study scores remained significant regardless of the time point used to calculate the features.DiscussionOur findings were consistent with past research demonstrating that GPS features may be an important and reliable predictor of depressive symptom severity. The varying strength of these relationships on weekends and weekdays suggests the role of weekend/weekday as a moderating variable. The finding that GPS features predict depressive symptom severity up to 10 weeks prior to assessment suggests that GPS features may have the potential as early warning signals of depression.

Pengembangan Aplikasi Android Pada UKM Basket Universitas Diponegoro

Until now, Diponegoro University has become one of the most favored State University for High School students to proceed their study. So far, there hasn’t been any information system for basketball student organization in Diponegoro University such as mobile device application that provides information, field location, and reminder for the basketball practice. Based on this concern, an application for the information system must be made on Android Operation System. Design of mobile information system for basketball student organization in Diponegoro University based android, a client server application created by using theJava, PHP, jQuery and MySQL for database. The intake of latitude and longitude coordinate will utilize the GPS feature on the mobile device and will be displayed on Google Maps API. JSON will collect the data of schedules into the mobile device, continued to recieve dialog alert and broadcast reciever for the alarm feature. The result of this design is realization of a application that able to search location of a basketball field based on android system, equipped with features that can help user to find the field and alarm to remind them of practice time. This design is also used to introduce android application developers using the Global Positioning System functions for user navigation.

Older Adults' Experience with a Novel Fall Detection Device

Falls are a significant concern for the older adult (OA) population, many of whom are unable to get up following a fall. While many devices exist designed to detect a fall, little work has been conducted to evaluate the usability of such devices. We present a longitudinal usability study of a fall detection (FD) device tested with OAs in real-world settings. OAs were recruited and asked to use a wearable FD device for up to 4 months. Participants were interviewed at baseline and 2 and 4 months and encouraged to provide direct feedback on their experience. In total, 18 OAs participated in the study. Eight completed the 4-month trial. We conducted a total of 38 interviews (16 baseline, 7 midpoint, and 15 final) and logged a total of 78 comments. While participants enjoyed the GPS and automatic detection features of the device, they were unhappy with the volume of false alarms and obtrusiveness of the device. Many also did not see a great need for having the device or were embarrassed by the device. Engineers must work to better develop this technology so that it is accessible to people with hearing loss, limited dexterity, and low vision. Utilizing age-appropriate design techniques will help make such informatics tools more user friendly. We explored the usability of a particular FD device with OAs and provide design recommendations to help future device manufacturers create more age-appropriate devices.

Analisis Kinerja Jalan Raya Kota Malang Menggunakan Metode FCD (Floating Car Data)

Congestion is one of the symptoms of inadequate road conditions and interaction between the traffic elements that affect the performance of the highway. Methods of measuring the performance of the highway have been reported in Manual Kapasitas Jalan Indonesia in 1997. Highway performance measurement parameters that can be used are speed and time delay. Floating Car Data (FCD) is a method to retrieve data such as speed and time delay quickly and efficiently. While Adaptive Neuro Fuzzy Inference System (ANFIS) can be used as a method of measuring the performance of the FCD method. In this study, the FCD method is applied to the segment of urban roads in the city of Malang by utilizing the GPS feature on a mobile device carried by the rider. The results of data recording by FCD are tested using ANFIS with two input parameters (speed and time delay) and one output (congestion level). Results of experiments using 70% training data and 30% test data are able to obtain maximum performance, with the lowest MSE is 0.43, while the calculated travel speed results of the FCD method compared with the base flow speed (based on MKJI) is 68.22% during spare time, and 43.96% during traffic jam.

Analyzing the Modern Warfare and Weapon Systems Supported by Improved GPS Informations

This paper focuses on analyzing the modern warfare and weapon systems supported by improved GPS informations. The GPS capability was investigated through the real experimental test for verifying the most recent GPS features under its modernization processing. And then it was verified that such capabilities, accuracy and availability, of a typical L1, C/A code GPS receiver are equivalent to the military receivers ones. It was also sure that the influence of GPS improved informations on NCW(Network-Centric Warfare), PGM(Precision Guided Munition) and C4SIR(Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance) should be increased and the modern warfare may be strongly dependent on GNSS informations.

Perancangan Aplikasi Mobile Location Based Service (LBS) Untuk Lokasi Penyewaan Rumah Kos di Kota Semarang Berbasis Android

Until now, Diponegoro University has become one of the favorite State Univesity for Senior High school students to continuing education college. During this time existing information of boarding house around the Diponegoro University still conventional, there is no mobile device applications that provide information and location of boarding house. Based on this information, it should be made an application on android Operating System to search the location of the boarding house in Semarang. Design of Mobile Location Based Service Application for boarding house locations in Semarang Based Android, a client server application created by using the Java, PHP, jQuery and MySQL for database. Intake form of latitude and longitude coordinates utilize the GPS feature on the mobile device and will be shown on Google Maps APIs. The results of this application design is the realization of a application that can search the location of boarding house based on android operating system, with features that can help users find the position of the boarding house. The application can help boarding house owners to promote their boarding house information rooming in their possession to the user. The design also introduces application android application development using the Global Positioning System functions for user navigation.