scholarly journals Expanding Navigation Systems by Integrating It with Advanced Technologies

2020 ◽  
Author(s):  
Menachem Domb
Keyword(s):  
Internet Of Things ◽  
Mobile Communications ◽  
High Accuracy ◽  
The Internet ◽  
Positioning System ◽  
Navigation Systems ◽  
Navigation Solution ◽  
Growing Domain ◽  
Global Positioning ◽  
Different Sources

Navigation systems provide the optimized route from one location to another. It is mainly assisted by external technologies such as Global Positioning System (GPS) and satellite-based radio navigation systems. GPS has many advantages such as high accuracy, available anywhere, reliable, and self-calibrated. However, GPS is limited to outdoor operations. The practice of combining different sources of data to improve the overall outcome is commonly used in various domains. GIS is already integrated with GPS to provide the visualization and realization aspects of a given location. Internet of things (IoT) is a growing domain, where embedded sensors are connected to the Internet and so IoT improves existing navigation systems and expands its capabilities. This chapter proposes a framework based on the integration of GPS, GIS, IoT, and mobile communications to provide a comprehensive and accurate navigation solution. In the next section, we outline the limitations of GPS, and then we describe the integration of GIS, smartphones, and GPS to enable its use in mobile applications. For the rest of this chapter, we introduce various navigation implementations using alternate technologies integrated with GPS or operated as standalone devices.

scholarly journals Blockchain and Internet of Things in Higher Education.pdf

2020 ◽  
Author(s):  
Tanweer Alam ◽  
Mohamed Benaida
Keyword(s):  
Internet Of Things ◽  
Mobile Communications ◽  
High Speed ◽  
Wireless Networking ◽  
Research Area ◽  
The Internet ◽  
Web Pages ◽  
Main Research ◽  
Iot Platform ◽  
The Internet Of Things

Building the innovative blockchain-based architecture across the Internet of Things (IoT) platform for the education system could be an enticing mechanism to boost communication efficiency within the 5 G network. Wireless networking would have been the main research area allowing people to communicate without using the wires. It was established at the start of the Internet by retrieving the web pages to connect from one computer to another computer Moreover, high-speed, intelligent, powerful networks with numerous contemporary technologies, such as low power consumption, and so on, appear to be available in today's world to connect among each other. The extension of fog features on physical things under IoT is allowed in this situation. One of the complex tasks throughout the area of mobile communications would be to design a new virtualization framework based on blockchain across the Internet of Things architecture. The goal of this research is to connect a new study for an educational system that contains Blockchain to the internet of things or keeping things cryptographically secure on the internet. This research combines with its improved blockchain and IoT to create an efficient interaction system between students, teachers, employers, developers, facilitators and accreditors on the Internet. This specified framework is detailed research's great estimation.

Cloud Provisioning and Modeling of Internet of Things (IoT) Systems for Evaluating Big Data Uncertainties

2020 ◽  
pp. 125-130
Author(s):  
Yuji Huang ◽  
Aravindhan K
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Actual World ◽  
The Internet ◽  
Data Systems ◽  
Internet Service ◽  
Research Gap ◽  
Big Data Systems ◽  
Different Sources ◽  
The Internet Of Things

The present cyber-physical schemes and the Internet of Things (IoT) schemes comprise of both complex and simple interactions defining the different sources of the IoT systems such as cloud information and the edge internet service centres. All the modeling frameworks have been established on the virtualization dimensions that include both the cloud and the edge structures. Apart from that, the systems deal with big data based on the connections of various forms of services and networks. In that case, various forms of data uncertainties are evident. These uncertainties include elasticity and actuation uncertainties. As a result, this leads to a number of challenges that affect the process of testing these uncertainties in the big data systems. Nonetheless, there is a research gap present to effectively model and design the precise infrastructure frameworks that handle the necessities for evaluating these emergent big data uncertainties. With that regard, this scholastic paper focusses on the techniques used to generate and determine the deployment configurations used in the process of evaluating both the cloud and IoT systems. In this research, the survey will consider the actual-world application for analysing and monitoring the transceiver frameworks.

scholarly journals Determining the Precise Work Area of Agriculture Machinery Using Internet of Things and Artificial Intelligence

2020 ◽  
Vol 10 (10) ◽  
pp. 3365
Author(s):  
Muhammad Waleed ◽  
Tai-Won Um ◽  
Tariq Kamal ◽  
Aftab Khan ◽  
Adil Iqbal
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Global Positioning System ◽  
Positioning System ◽  
Allocation Of Resources ◽  
Smart System ◽  
Irregular Shapes ◽  
Work Area ◽  
Global Positioning ◽  
The Internet Of Things

Precisely measuring the work area of agriculture farm machinery is important for performing the authentication of machinery usage, better allocation of resources, measuring the effect of machinery usage on the yield, usage billing and driver’s behaviour. The manual measurement, which is a common practice is an error-prone and time-consuming process. The irregular fields make it even more difficult to calculate the work area. An automatic solution that uses smart technology and algorithms to precisely calculate the work area is crucial for the advancement of agriculture. In this work, we have developed a smart system that utilizes the Internet of Things (IoT), Global Positioning System (GPS) and Artificial Intelligence (AI) that records the movement of agriculture machinery and use it to measure the precise work area of its usage. The system couples the nearest neighbourhood algorithms with Contact-based mechanisms to find the precise work area for different shaped fields and activities. The system was able to record the movement of machinery and calculate its work area, regardless of how many times the machinery runs through a particular field. Our evaluation shows that the system was able to precisely find the work boundaries and calculate the area with a maximum of 9% error for irregular shapes.

scholarly journals Mode Inference using enhanced Segmentation and Pre-processing on raw Global Positioning System data

2020 ◽  
Vol 53 (7-8) ◽  
pp. 1144-1158 ◽  
Author(s):  
Asif Nawaz ◽  
Huang Zhiqiu ◽  
Wang Senzhang ◽  
Yasir Hussain ◽  
Amara Naseer ◽  
...  
Keyword(s):  
Global Positioning System ◽  
Mobile Communications ◽  
Single Mode ◽  
Positioning System ◽  
Trajectory Data ◽  
Transportation Mode ◽  
Extensive Evaluation ◽  
Global Positioning ◽  
Significant Performance ◽  
System Data

Many applications use the Global Positioning System data that provide rich context information for multiple purposes. Easier availability and access of Global Positioning System data can facilitate various mobile applications, and one of such applications is to infer the mobility of a user. Most existing works for inferring users’ transportation modes need the combination of Global Positioning System data and other types of data such as accelerometer and Global System for Mobile Communications. However, the dependency of the applications to use data sources other than the Global Positioning System makes the use of application difficult if peer data source is not available. In this paper, we introduce a new generic framework for the inference of transportation mode by only using the Global Positioning System data. Our contribution is threefold. First, we propose a new method for Global Positioning System trajectory data preprocessing using grid probability distribution function. Second, we introduce an algorithm for the change point–based trajectory segmentation, to more effectively identify the single-mode segments from Global Positioning System trajectories. Third, we introduce new statistical-based topographic features that are more discriminative for transportation mode detection. Through extensive evaluation on the large trajectory data GeoLife, our approach shows significant performance improvement in terms of accuracy over state-of-the-art baseline models.

scholarly journals Algorithms of Position and Velocity Estimation in GPS Receivers

2016 ◽  
Vol 23 (1) ◽  
pp. 53-68 ◽  
Author(s):  
Piotr Kaniewski ◽  
Rafał Gil ◽  
Stanisław Konatowski
Keyword(s):  
Global Positioning System ◽  
Velocity Estimation ◽  
Frame Of Reference ◽  
Positioning System ◽  
Gps Receivers ◽  
Extended Kalman Filters ◽  
Navigation Solution ◽  
Gps Satellites ◽  
Global Positioning ◽  
Simulation Results

Abstract Processing of signals in Global Positioning System (GPS) receivers includes numerous signal and data operations leading to calculation of coordinates and velocities of satellites in global Earth-Centered Earth-Fixed (ECEF) frame of reference as well as pseudoranges and delta-ranges between the user and all the tracked GPS satellites. Further processing of these data consists in estimation of the user’s position, velocity and time (PVT) and nowadays it is usually realized by means of an Extended Kalman Filters (EKF). The choice of measuring data processed by the Kalman filter significantly influences the accuracy of navigation solution. In simpler GPS receivers, the estimation of user’s position and velocity is based on pseudoranges only, whereas in more advanced ones delta-ranges are also applied. The paper describes both possible solutions and compares the accuracy of estimation of the user’s position and velocity in both cases. The comparison is based on simulation results, which are included in the paper.

Implementation of Block Chain Technology and Internet of Things: An Introduction

2020 ◽  
pp. 125-129
Author(s):  
Mohammed Rahmat Ali
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
The Internet ◽  
Amount Of Information ◽  
Hash Code ◽  
Block Chain ◽  
New Form ◽  
A Chain ◽  
Hierarchal Structure ◽  
Different Sources

Internet of things or internet of everywhere is considered as the modern weapon used to control monitor or access anything anywhere at any time. Internets of things works on the principle of receive, analyse, monitor and respond to and from things connected to it. Anything which is connected to the internet that can receive and send information is considered as Internet of things (IoT). Internet keeps a record of Information which is received from different sources and amount of information being transferred to the network. IoT works follows the distributed computing concept in which information is been shared and stored at different places for a backup. Block chain technology is the concept of collection and storing of information called blocks and are hierarchal structure which generates a hash code of its type to secure the transaction and also to store the information in a secure way. Block chain follows the mechanism of linking the document one to second and list to other records to create chain of network called block chain. The use of block chain technology in Internet of Things generates a new form of model which comprises of connection of networks which monitors the networks chain of transaction so that the security and authenticity of the network can be maintained. The network cannot be manipulated and data cannot be changed. If the data is changed or is been manipulated or the sequence of data is changed it reflects the whole network resulting in mismatch of the data and data can easily been identified of change. Block chain works with the principle of hash code, every transaction that happened will generate a hash code and based on the previous transactions code the nest transaction takes place. This creates a chain in custody of transaction in block chain. So it helps in making a track of information and transaction in internet of things, as the data is shared and is distributes the data can be stored in the form of block chain and no venerability can happen to the data in terms of breaching.

scholarly journals Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Shasha Li ◽  
Zhongmei Zhou ◽  
Weiping Wang
Keyword(s):  
Internet Of Things ◽  
High Accuracy ◽  
The Internet ◽  
Training Set ◽  
Rule Based ◽  
Useful Knowledge ◽  
Rule Sets ◽  
Rule Set ◽  
The Internet Of Things

The Internet of things (IOT) is a hot issue in recent years. It accumulates large amounts of data by IOT users, which is a great challenge to mining useful knowledge from IOT. Classification is an effective strategy which can predict the need of users in IOT. However, many traditional rule-based classifiers cannot guarantee that all instances can be covered by at least two classification rules. Thus, these algorithms cannot achieve high accuracy in some datasets. In this paper, we propose a new rule-based classification, CDCR-P (Classification based on the Pruning and Double Covered Rule sets). CDCR-P can induce two different rule setsAandB. Every instance in training set can be covered by at least one rule not only in rule setA, but also in rule setB. In order to improve the quality of rule setB, we take measure to prune the length of rules in rule setB. Our experimental results indicate that, CDCR-P not only is feasible, but also it can achieve high accuracy.

scholarly journals An Experimental Research on GPS Based Boundary Intruding Boat Monitoring System

2019 ◽  
Vol 8 (9S2) ◽  
pp. 364-367
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Experimental Research ◽  
Global Positioning System ◽  
Positioning System ◽  
Current Position ◽  
Alert System ◽  
Global Positioning ◽  
Internet Of Things Technology ◽  
Off Time

Boundary detection and alert system is a straightforward and effective idea, which utilizes Internet of Things technology. By utilizing this framework border monitoring is 100% protected and secure. It naturally alarms the intruder when the vehicle goes over the specific range in borders. This is finished by a sensor called Global positioning system (GPS). It detects the current position of the vehicle and switch on the caution framework naturally. In this anticipate, no need of manual operations like on time and off time setting. GPS and IoT are the fundamental segments of the task. The resistances of the alert system changes as per the distance between the current position of the vehicle and the border get decreased or increased.

scholarly journals SISTEM KEAMANAN SEPEDA MOTOR BERBASIS IOT (INTERNET OF THINGS) DENGAN SMARTPHONE MENGGUNAKAN NODEMCU

2021 ◽  
Vol 9 (1) ◽  
pp. 77-87
Author(s):  
Ari Putra Putra
Keyword(s):  
Internet Of Things ◽  
Reverse Engineering ◽  
Global Positioning System ◽  
Positioning System ◽  
Global Positioning ◽  
Motor Mode

Tujuan pembuatan alat ini adalah untuk menghasilkan perangkat keras (hardware) dan perangkat lunak (software) sistem keamanan sepeda motor untuk mencegah kejahatan yang dapat di kendalikan melalui perangkat smartphone dengan koneksi NodeMCU sebagai pemancar WIFI. Perancangan dan pembuatan sistem secara keselurahan menggunakan motode reverse engineering dengan tahapan mempelajari prinsip komponen, analisis pemasangan komponen, membandingkan keunggulan produk, dan melakukan perancangan produk baru. Pada smartphone android menghasilkan aplikasi remote motor yang telah dibuat di blynk, yang mana terdapat mode securty, motor, engine, alarm dan gps tracker. Mode security yaitu melindungi dari perampokan dengan alarm. Jika mode securitydihidupkan lalu motor getaran,atau kunci kontak yang diambil dari izin klakson diharapkan akan menarik perhatian masyarakat untuk datang membantu mengagalkan aksi perampokan. Mode motor yaitu sebuah fitur yang dapat menghidupkan serta mematikan mesin motor melalui android. Mode engine bertujuan untuk mematikan mesin jarak jauh ketika pencuri membawa motor. Mode mati untuk melihat pengguna ketika lupa menaruh kunci atau motor smartphone tetap bisa dihidupkan dengan mengaktifkan starter 3 kali untuk keberadaan motor atau ketika lupa memarkirkan sepeda motor. Fitur perintah suara menghidupkan serta mematikan mesin motor untuk memudahkan interaksi pengguna melakukan kontak dengan perangkat keras.Fitur tombol rahasia bertujuan untuk membantu menghidupkan kontak setelah tekan kembali 1 kali untuk menghidupkan, untuk mematikan mesin cukup mematikan starter 2 kali. Gps (Global Positioning System) yaitu untuk kelengkapan lokasi bilamana motor dibawa oleh oknum

Cartesian Control for the Inertial Measurement Unit Calibration Platform

2000 ◽  
Author(s):  
John J. Hall ◽  
Robert L. Williams ◽  
Frank van Graas
Keyword(s):  
Global Positioning System ◽  
Inertial Measurement Unit ◽  
Vertical Motion ◽  
High Accuracy ◽  
Measurement Unit ◽  
Positioning System ◽  
Ohio University ◽  
Inertial Measurement ◽  
Gps Technology ◽  
Global Positioning

Abstract The Department of Mechanical Engineering and the Avionics Engineering Center at Ohio University are developing an electromechanical system for the calibration of an inertial measurement unit (IMU) using global positioning system (GPS) antennas. The GPS antennas and IMU are mounted to a common platform to be oriented in the angular roll, pitch, and yaw motions. Vertical motion is also included to test the systems in a vibrational manner. A four-dof system based on the parallel Carpal Wrist is under development for this task. High-accuracy positioning is not required from the platform since the GPS technology provides absolute positioning for the IMU calibration process.

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