scholarly journals Sistem Monitoring Konversi Wifi-RSSI Menjadi Jarak Antar Device dan Router Menggunakan Node-Red Pada Pengembangan Sistem Navigasi Dalam Ruang

2021 ◽  
Vol 1 ◽  
pp. 32-37
Author(s):  
Rifqi Nafis Mubaroq ◽  
Nina Siti Aminah

A global positioning system (GPS) is often used as a tool for determining direction and positioning. However, GPS is weak in estimating the error, which is quite large at the actual distance, so positioning in a narrow area cannot work well. Therefore, a better method is needed to be used as a narrow-navigation system. This study aimed to determine whether RSSI has a better error than GPS for navigation devices in a narrow space or area. The method used was plotting graphs using Ms. Excel and determining the value of R square. The RSSI value was obtained through the Esp8266 device and then sent to the server via the MQTT protocol and converted using Node-Red on the Raspberry Pi. The comparison results of the Esp8266 device RSSI graph match the Laptop RSSI device as a reference. The match between the relative distance to the RSSI with the actual distance shows a 3.3-33% error. This result is considered much better than the GPS error.

The Navstar Global Positioning System, proposed for deployment in 1985, will have eight satellites equally spaced in each of three orbit planes at an inclination of 63°. Since the satellites will be in circular, 20000 km (12 h period), orbits and the nodes of the three orbit planes will be equally spaced, at least four satellites will be in view at any location. Range to three of the satellites, computed from the travel time of signal from the satellite to the ground, would give the position of the ground receiver. The measurement to the fourth satellite is required to synchronize the ground station clock with the satellite to provide a sufficiently accurate travel time. In order that the system may be demonstrated in early 1979, six satellites are now being launched into orbits that will provide the operational configuration over the southwestern part of the United States for a few hours each day. The accuracy of the instantaneous absolute position is expected to be 10 m. The relative position of two stationary receivers could be determined to 1 m accuracy in a few minutes even if the receivers are separated by 1000 km. Relative positions could be determined to better than 10 cm accuracy within a day.


2014 ◽  
Vol 20 (4) ◽  
pp. 984-1004 ◽  
Author(s):  
La Van Hieu ◽  
Vagner G. Ferreira ◽  
Xiufeng He ◽  
Xu Tang

In this work, we assessed the performance of the cycle-slip detection methods: Turbo Edit (TE), Melbourne-Wübbena wide-lane ambiguity (MWWL) and forward and backward moving window averaging (FBMWA). The TE and MWWL methods were combined with ionospheric total electron content rate (TECR), and the FBMWA with second-order time-difference phase ionosphere residual (STPIR) and TECR. Under different scenarios, 10 Global Positioning System (GPS) datasets were used to assess the performance of the methods for cycle-slip detection. The MWWL-TECR delivered the best performance in detecting cycle-slips for 1 s data. The relative comparisons show that the FBMWA-TECR method performed slightly better than its original version, FBMWA-STPIR, detecting 100% and 73%, respectively. For data with a sample rate of 5 s, the FBMWA-TECR performed better than MWWL-TECR. However, the FBMWA is suitable only for post-processing, which refers to applications where the data are processed after the fact.


Now-a-days, we can see many fishermen were caught by other country because of border violation. This is mainly due to the reason that sea borders are unidentifiable. This application helps the fishermen to track their location at national borders. This embedded system continuously tracks the location using a GPS [Global Positioning System].The GPS aids in continuous tracking of the fishermen boat. Using GPS, we can find the current latitude and longitude values which is then sent to the Raspberry pi unit. The Raspberry pi unit finds the current location by comparing the present latitude and longitude values with the predefined value. Then from the result of the comparison, this system indicates the fishermen that they are about to reach the nautical border and helps in motor speed controlling. This system also helps the fishermen to detect the weather condition which senses and displays various parameters of surrounding weather.


2019 ◽  
Vol 8 (4) ◽  
pp. 3862-3867

Today’s world is of Technology, technology is a kind of boon to enabling human lives comfortable as well as swift. The utilization of sensible phones has enormous applications. The IoT(Internet of Things) platform enables to attach physical modules with the net. In consequence, several applications can be carried out. This paper represents proposed system of one of them. There are parking problems in big urban and crowded cities because of unplanned parking, which becomes problem to find parking yards, more time-consuming to park a vehicle. Although ample quantity of analysis works on the event of good parking system exist in literature, but most of them have not addressed the problem of real-time detection of parking lot and automatically generation of hourly basis parking charges. This paper addresses proposed system to solve the problems and bring out better performance by using IOT, GPS (Global Positioning System) to locate nearest parking yard to reduce time consuming, camera for detection of the vehicle number in order to allow vehicle into parking lot, and mobile application to find vacant lot and for advance booking. Moreover, this system avails online payment link for parking charge for calculated amount of parked hours, sends notifications. These all interface with Raspberry pi. Eventually, this system reduces time-consuming and makes easy parking


INTI TALAFA ◽  
2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Yaman Khaeruzzaman

Seiring dengan pesatnya kemajuan teknologi saat ini, kebutuhan manusia menjadi lebih beragam, termasuk kebutuhan akan informasi. Tidak hanya media informasinya yang semakin beragam, jenis informasi yang dibutuhkan juga semakin beragam, salah satunya adalah kebutuhan informasi akan posisi kita terhadap lingkungan sekitar. Untuk memenuhi kebutuhan itu sebuah sistem pemosisi diciptakan. Sistem pemosisi yang banyak digunakan saat ini cenderung berfokus pada lingkup ruang yang besar (global) padahal, dalam lingkup ruang yang lebih kecil (lokal) sebuah sistem pemosisi juga diperlukan, seperti di ruang-ruang terbuka umum (taman atau kebun), ataupun dalam sebuah bangunan. Sistem pemosisi lokal yang ada saat ini sering kali membutuhkan infrastruktur yang mahal dalam pembangunannya. Aplikasi Pemosisi Lokal Berbasis Android dengan Menggunakan GPS ini adalah sebuah aplikasi yang dibangun untuk memenuhi kebutuhan pengguna akan informasi lokasi dan posisi mereka terhadap lingkungan di sekitarnya dalam lingkup ruang yang lebih kecil (lokal) dengan memanfaatkan perangkat GPS (Global Positioning System) yang telah tertanam dalam perangkat smartphone Android agar infrastruktur yang dibutuhkan lebih efisien. Dalam implementasinya, Aplikasi Pemosisi Lokal ini bertindak sebagai klien dengan dukungan sebuah Database Server yang berfungsi sebagai media penyimpanan data serta sumber referensi informasi yang dapat diakses melalui jaringan internet sehingga tercipta sebuah sistem yang terintegrasi secara global. Kata kunci: aplikasi, informasi, pemosisi, GPS.


Author(s):  
Violet Bassey Eneyo

This paper examines the distribution of hospitality services in Uyo Urban, Nigeria. GIS method was the primary tool used for data collection. A global positioning system (GPS) Garmin 60 model was used in tracking the location of 102 hospitality services in the study area. One hypothesis was stated and tested using the nearest neighbour analysis. The finding shows evidence of clustering of the various hospitality services. The tested hypothesis further indicated that hospitality services clustered in areas that guarantee a sustainable level of patronage to maximize profit. Thus, the hospitality services clustered in selected streets in the metropolis while limited numbers were found outside the city’s central area.


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