scholarly journals Automatic Identification of Maritime Boundary Alert System using GPS

2018 ◽  
Vol 7 (3.1) ◽  
pp. 20
Author(s):  
A Kavitha ◽  
N Ashok Kumar ◽  
M Revathy

Global Positioning System (GPS) is being used more and more for a wide range of applications. This is a reliable position, navigation for end-users of anywhere in the world or around the globe, on any weather, day or night. The synchronization benefit gives that the GPS has three segments: space, control and client GPS has turned into a broadly utilized route apparatus over the world and turn into a helpful instrument for mapping, overviews, business, logical utilizations, checking and diversion has gone. As in any of the current GPS systems of geographic and entertainment, the security requirements of civilian navigation in the sea are met because the sea border of a country cannot be marked. This work concentrates on the flexibility and utility of a GPS in the ocean. The principle motivation behind the work is to help anglers explore past the limits of different nations. In the event that an angler goes past the limits of the nation, at that point a notice emerges, showing that the anglers have crossed the outskirt. Furthermore, a GSM transmitter interface will make an impression on construct station situated with respect to the shore showing that a vessel has crossed the fringe. Hence protects in the shore can help and give extra help to those anglers if necessary. Remembering about existences of Indian anglers, this gadget has been made to help them not to move past Indian. Overall, it is an endeavor to fabricate an appropriate gadget for the anglers at a sensibly ease.  

2000 ◽  
Vol 1710 (1) ◽  
pp. 114-121 ◽  
Author(s):  
Sastry Chundury ◽  
Brian Wolshon

It has been recognized that CORSIM (and its constituent program, NETSIM) is one of the most widely used and effective computer programs for the simulation of traffic behavior on urban transportation networks. Its popularity is due in large part to the high level of detail incorporated into its modeling routines. However, the car-following models, used for the simulation of driver behavior in the program, have not been formally calibrated or validated. Since the model has performed well in a wide range of applications for so many years, it has always been assumed to have an implied validity. This study evaluated the NETSIM car-following models by comparing their results with field data. Car-following field data were collected using a new data collection system that incorporates new Global Positioning System and geographic information system technologies to improve the accuracy, ease, speed, and cost-effectiveness of car-following data collection activities. First, vehicle position and speed characteristics were collected under field conditions. Then simulated speeds and distances were based on identical lead vehicle actions using NETSIM car-following equations. Comparisons of simulated and field data were completed using both graphical and statistical methods. Although some differences were evident in the graphical comparisons, the graphs overall indicated a reasonable match between the field and simulated vehicle movements. Three statistical tests, including a goodness-of-fit test, appear to support these subjective conclusions. However, it was also found that definitive statistical conclusions were difficult to draw since no single test was able to compare the sets of speed and distance information on a truly impartial basis.


Recently, indoor localization has witnessed an increase in interest, due to the potential wide range of using in different applications, such as Internet of Things (IoT). It is also providing a solution for the absence of Global Positioning System (GPS) signals inside buildings. Different techniques have been used for performing the indoor localization, such as sensors and wireless technologies. In this paper, an indoor localization and object tracking system is proposed based on WiFi transmission technique. It is done by distributing different WiFi sources around the building to read the data of the tracked objects. This is to measure the distance between the WiFi receiver and the object to allocate and track it efficiently. The test results show that the proposed system is working in an efficient way with low cost.


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.


2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Dejun Guo ◽  
Hesheng Wang ◽  
Kam K. Leang

This paper presents a nonlinear vision-based observer to estimate 3D translational position and velocity of a quadrotor aerial robot for closed-loop, position-based, visual-servo control in global positioning system (GPS)-denied environments. The method allows for motion control in areas where GPS signals are weak or absent, for example, inside of a building. Herein, the robot uses a low-cost on-board camera to observe at least two feature points fixed in the world frame to self-localize for feedback control, without constraints on the altitude of the robot. The nonlinear observer described takes advantage of the geometry of the perspective projection and is designed to update the translational position and velocity in real-time by exploiting visual information and information from an inertial measurement unit. One key advantage of the algorithm is it does not require constraints or assumptions on the altitude and initial estimation errors. Two new controllers based on the backstepping technique that take advantage of the estimator's output are described and implemented for trajectory tracking. The Lyapunov method is used to show asymptotic stability of the closed-loop system. Simulation and experimental results from an indoor environment where GPS localization is not available are presented to demonstrate feasibility and validate the performance of the observer and control system for hovering and tracking a circular trajectory defined in the world frame.


2009 ◽  
Vol 24 (3) ◽  
pp. 128-136 ◽  
Author(s):  
Hans-Erik Andersen ◽  
Tobey Clarkin ◽  
Ken Winterberger ◽  
Jacob Strunk

Abstract The accuracy of recreational- and survey-grade global positioning system (GPS) receivers was evaluated across a range of forest conditions in the Tanana Valley of interior Alaska. High-accuracy check points, established using high-order instruments and closed-traverse surveying methods, were then used to evaluate the accuracy of positions acquired in different forest types using a recreational-grade GPS unit and a Global Navigation Satellite System (GLONASS)-enabled survey-grade unit, over a range of acquisition and postprocessing alternatives, including distance to base station, or baseline length (0ߝ10, 10ߝ50, 50ߝ100, and >100 km), use of Russian GLONASS satellites, and occupation times (5, 10, and 20 minutes). The accuracy of recreational-grade GPS was 3ߝ7 m across all sites. For survey-grade units, accuracies were influenced by forest type and baseline length, with lower errors observed with more open stands and shorter baseline lengths. The use of GLONASS satellites improved positions by a small but appreciable amount, and longer observation times (20 minutes) resulted in more reliably accurate positions across all sites. In general, these results indicate that if forest inventory plots in interior Alaska and other high-latitude regions of the world are occupied for 20 minutes with survey-grade instruments, positions with submeter error can be consistently obtained across a wide range of conditions.


2020 ◽  
Vol 53 (7-8) ◽  
pp. 1070-1077
Author(s):  
Li Wang ◽  
Ali Akbar Siddique

Providing security to the citizens is one of the most important and complex task for the governments around the world which they have to deal with. Street crimes and theft are the biggest threats for the citizens and their belonging. In order to provide security, there is an urgent need of a system that is capable of identifying the criminal in the crowded area. This paper proposes a facial recognition system using Local Binary Patterns Histogram Face recognizer mounted on drone technology. The facial recognition capability is a key feature for a drone to have in order to find or identify the person within the crowd. With the inception of drone technology in the proposed system, we can use it as a surveillance drone as well through which it can cover more area as compared to the stationary system. As soon as the system identifies the desired person, it tags him and transmits the image along with the co-ordinates of the location to the concerned authorities using mounted global positioning system. Proposed system is capable of identifying the person with the accuracy of approximately 89.1%.


Author(s):  
José Holguín-Veras ◽  
Trilce Encarnación ◽  
Sofía Pérez-Guzmán ◽  
Xia (Sarah) Yang

The identification of freight pick-ups and deliveries, referred to as “freight activity” in this paper, is crucial to characterizing freight operations and assessing the performance of freight transportation systems. However, identifying freight activity stops from global positioning system (GPS) data is challenging, particularly in urban freight where congested traffic is common. This paper presents a mechanistic—because it is based on the physics of driving patterns—procedure to identify freight activity stops from raw GPS data. The procedure was implemented to identify stops in three distinct case studies that present a wide range of traffic conditions: Barranquilla, Colombia; Dhaka, Bangladesh; and New York City, United States. The results show that the procedure achieves an average accuracy of above 98.6% when identifying freight activity stops. The results of the proposed procedure were compared with results from support vector machines, random forest, and k nearest neighbors. The mechanistic procedure outperformed these methods in correctly classifying freight activity using second-by-second GPS data.


1992 ◽  
Vol 45 (3) ◽  
pp. 344-351
Author(s):  
Nigel R. L. Gooding

The historical development of positioning in relation to the nautical chart is very briefly described. Present nautical charts are largely based on geodetic surveys which date from the 19th and early 20th century. This gave rise to the use of many local datums and there has been a need to provide the mariner with information to enable him to transfer his position from one chart to an adjacent one on a different datum. The sizes of discrepancies in position between various datums are given. The availability of the Global Positioning System (GPS) and the World Geodetic System 1984 (WGS 84) datum enables positioning on a single worldwide datum to become a reality. The important factors affecting the adoption of WGS 84 as the datum for nautical charts, namely data availability and the practical and political considerations, are discussed. The importance of the proper consideration of datum in relation to new developments in the use of nautical charts is also mentioned.


Author(s):  
Benoit Leclerc ◽  
Martin Trépanier ◽  
Catherine Morency

As carsharing becomes increasingly popular throughout the world, it would be of interest to understand better the underlying characteristics of the trips made by members when they use the cars. To date, few studies have reported carsharing trip details. This paper presents a methodology to analyze three components of a station-based carsharing member's journey: the locations of the stops, the attributes of the trips, and the characteristics of the trip chains. The method is based on the processing of Global Positioning System traces collected onboard car-sharing vehicles; a 5-min stop criterion is used to divide the trip chains into separate trips. The case study involves the Communauto system in the Greater Montreal area, Quebec, Canada. The study shows that carsharing members make more trips within their trip chains than typical car owners do. However, those trips are shorter and are often made for purposes other than work (shopping or visiting, for example). Members tend to maximize the use of the cars during the rental period (the members are on the move up to 50% of the time for short trip chains and 30% of the time for longer trips).


2012 ◽  
Vol 518-523 ◽  
pp. 4670-4674
Author(s):  
Jun Xian Shi ◽  
Zeng Fang Huang

The baseline values of Copper (Cu) and Lead(Pb) in four subtypes of soil in Hohhot, Inner Mongolia in China were proposed by testing the Cu and Pb contents in surface soils over an area of 4713km2.The soil subtypes were distinguished by GIS (Geographic Information System) and the 928 sample locations were roughly uniformly distributed using portable GPS (Global Positioning System).The proposed baseline values of Cu and Pb were derived from the experimental results of ICP-MS analyses and then were calculated by probability density function. The results illustrate that the baseline value of Cu in the Fluvo—aquic Soil was the highest(18.83 mg kg-1 ),and that Pb in Diluvial Alluvial Topsoil was the highest (17.50 mg kg-1),which are far lower than the corresponding Class One thresholds in Environmental Quality Standard for Soils in China (GB15618-1995) (EQSSC).This experience gained in this work further suggests that baseline values should be proposed in other areas in the world.


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