A Balance Interface Design and Instant Image-based Traffic Assistant Agent Based on GPS and Linked Open Data Technology

Traffic data is very important for Intelligent Transportation Systems. The traffic data is collected by different types of detectors. However, the data collected by these detectors cannot meet the precision and completeness requirement of ITS. To improve traffic data's completeness and comprehensiveness, this paper addresses a problem when road sections have no GPS sampling signals based on floating vehicle systems. A robust Kalman Filter fusion algorithm is proposed to fuse the information of associated road sections, of which traffic information is known, and to obtain the traffic information of the road sections without GPS sampling signals. The method is verified with the real GPS traffic data of Hangzhou city, China, and compared with the standard Kalman Filter algorithm. Finally, experimental results show that the proposed fusion method is effective and can provide more precise and comprehensive traffic information for traffic managers.

Global positioning system (GPS) technology has revolutionized the study of carnivores. Researchers commonly estimate kill rates with GPS data using the following steps. Firstly, researchers mark individual animals and fit them with GPS collars. Next, they visit a subset of "GPS clusters" (aggregated location data) during field surveys and assign spatiotemporal covariates associated with predation and non-predation events. Lastly, they develop predictive models with data collected in the field to estimate the probability that each cluster they did not visit in the field was a predation event. Such predation models help reduce field efforts and save money; however, these models are prone to error when carnivores eat prey of different sizes or exhibit shorter-than-expected handling times. We simulated reduced field efforts to investigate the reliability of predictive modeling in determining diet composition and detecting predation events for 3 puma (Puma concolor) populations with different prey assemblages and potential effects on handling time of carcasses. We visited a total 1,896 clusters in Chilean Patagonia, Colorado, and California, of which 1,752 clusters (~92%) were included to build and test predation models. Across all study areas, the total time a puma spent at a cluster was the only reliable predictor of a cluster being a predation event. When we reduced field efforts by selectively removing GPS clusters < 12 and < 24 h in length, model performance improved but produced inaccurate results. Predation models underestimated the number of predation events in California and Colorado and significantly over- or underestimated the number of predation events in Patagonia. Selectively reducing field efforts also reduced the diversity and evenness of prey we recorded in puma diets. Randomly reducing field efforts, in contrast, reduced the precision of model estimates. Our results highlight the importance of conducting intensive fieldwork over predation modeling to measure prey selection and kill rates of carnivores. La tecnología de Sistemas de Posicionamiento Global (GPS) han revolucionado el estudio de los carnívoros. Los investigadores comúnmente estiman las tasas de obtención de presas con datos de GPS. Primero, los investigadores marcan animales individuales y luego examinan un subconjunto de "conglomerados" (datos agregados de ubicación) a nivel de campo; luego, asignan covariables espaciotemporales asociadas con eventos de depredación y sitios sin obtención de presas; por último, desarrollan modelos predictivos que estiman la probabilidad de que cada agregado que no visitaron en campo corresponda a un evento de depredación. Los modelos de depredación reducen los esfuerzos de campo y ahorran dinero; sin embargo, dichos modelos son propensos a error cuando los carnívoros consumen presas de diferentes tamaños o exhiben tiempos de procesamiento más cortos de lo esperado. Simulamos esfuerzos de campo reducidos para investigar la confiabilidad del modelaje predictivo para la determinación de la composición de la dieta y los eventos de depredación de tres poblaciones de puma (Puma concolor) en la Patagonia chilena, Colorado y California, con diferentes conjuntos de presas y efectos sobre el tiempo de procesamiento de las carcasas. Revisamos 1,896 conglomerados en el campo, de los cuales se incluyeron 1,752 (~92%) para construir y comprobar modelos predictivos de depredación. El tiempo total que un puma pasó en un conglomerado fue el único predictor confiable de que éste fuera un evento de depredación en el área de estudio. Cuando redujimos los esfuerzos de campo removiendo selectivamente conglomerados de GPS con <12 horas y 24 horas de duración, el rendimiento del modelo mejoró (determinado con curvas ROC y validación cruzada de k-iteraciones) pero produjo resultados inexactos. Estos modelos subestimaron el número de eventos de depredación en California y Colorado, y sobre- y subestimaron significativamente la cantidad de eventos de depredación en la Patagonia. La reducción selectiva de los esfuerzos de campo también redujo la diversidad de presas que registramos en las dietas de puma. En contraposición, con la reducción aleatoria de los esfuerzos de campo, se redujo la precisión de las estimaciones del modelo. Nuestros resultados resaltan la importancia del trabajo de campo intensivo respecto al modelado de conglomerados para medir la selección de presas y las tasas de depredación de carnívoros medianos y grandes.

Notice of Violation of IEEE Publication Principles Official Document Tracking System with IPhone using GPS and RFID Technology Case Study: Kasetsart University Si Racha Campus, Thailand by Puchong Subpratatsavee, Supaporn Dangseekaew, Chotirod Supsanung, Pornchanok Srisay, Apinya Chanapim, Sompong Kwangtong, Chutimon Tiensai in the Proceedings of the International Conference on Information Science and Applications (ICISA), May 2014 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper copied original text from the sources cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper/source title) and without permission. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following sources: What is RFID? by EPC RFID Info available on http://www.epc-rfid.info/rfid January 2013 Global Positioning System (GPS) by Fred Zahradnik available on http://gps.about.com/od/glossary/g/GPS.htm?p=1 September 2008 Book Tracking Application in Android for Library Using GPS by Akhil Choudari, Sankalp Joshi, Akshay Bembalkar, Nainesh Marathe, L.J. Sankpal in the International Journal of Innovative Research in Computer and Communication Engineering, Vol 1, Issue 1, March 2013, pp. 30-34 This official document tracking system the concept of enhancing real physical world with an extra layer of information. The project is built around the innovative use of GPS to navigate the office in the office of Faculty of Science at Si RaCha department, Kasetsart University Si Racha Campus, Thailand for case study. This will enable the department to live on general administration officer mobile phone at any time of day. Updated data, location, and amount of official document in office building will provide the raw material for creating layers of graphical and multimedia content which can be accessed and viewed by iPhone using RFID and GPS technology.

To develop refined agriculture and improve Agricultural productivity, a new monitoring system has been proposed in this paper. Based on the actual situation of early agriculture and the actual national conditions of China, Geographic Information System (GIS) technology and Global Positioning System (GPS) technology have been combined. Based on the combination of GIS technology and GPS technology, the results show that the position of field vehicles can be displayed in the electronic MAP in real time within 5% error. On this basis, Agricultural production and cultivation can be realized, and the monitoring system can realize the real-time display of vehicle location in the field on electronic MAP to guide production and cultivation. The static test shows that the positioning accuracy of the four GPS receivers is the worst, and the positioning accuracy of MAP330 receiver and GPS25 receiver is better. However, the positioning accuracy of AGl32 receiver is the highest with the 0.37m error when compared with the error of 1.2m of other machines. Using GPS to measure the area, the error of farmland area and farmland side length is less than 5%, and the precision AGl32 receiver for precision Agricultural measurement is also improved with the proposed model.

Purpose: Hamstring injuries are among the most prevalent injuries in elite sport with high rates of recurrence. Global Positioning System (GPS) technology has been widely implemented to measure the movement of athletes. The purpose of this scoping review is to examine how GPS technology is used to manage hamstring injuries during high-speed running. Methods: A scoping review was conducted within Embase, CINAHLComplete, SPORTDiscus, and Scopus. Studies were included if they used objective GPS metrics and investigated their relationship to hamstring injuries or risk factors. Studies were excluded if they did not report hamstring injuries separately. Results: 3950 articles were reviewed and 15 met inclusion criteria. Most studies were conducted with elite male soccer players. The most common GPS metrics reported included total distance traveled, high speed running distance over 24 km/hour, the acute to chronic workload ratio, and efforts exceeding 80% of maximum speed. Clinical relevance: The current literature on GPS monitoring for hamstring injury management focuses on elite male soccer players, with limitations due to varying injury definitions and a lack of prospective trials. Clinicians may consider managing high-speed running loads above 24 km/h and 80% of maximum speed to modify hamstring injury risk in elite male soccer players.

In this paper we have proposed a system for car surveillance and driver assistance, where in which the car itself will intimate the concerned person about the accident by sending the short message with the location of the vehicle immediately. Here in the proposed system we built a wireless black box, which has different sensors along with the global positioning system (GPS) and global system for mobile communication (GSM) modules. When the car is met with an accident they might be chances that the passengers or the driver might lose the life due to the delay in medical help. So to overcome such situation we have designed a system where in which the car itself switches into surveillance mode and send a short message to their family members, nearby emergency medical service and police station along with the exact location of the vehicle with the help of GPS.

Some of the critical features of Advanced Driver Assistance Systems (ADAS), including unintentional lane departure warning, and erratic driving warning have significant potential to reduce crashes. Generally, these systems use either various image processing techniques or Global Positioning System (GPS) technology with lane-level resolution maps. However, these are expensive to implement as well as have some limitations, such as harsh weather or irregular lane markings can drastically reduce their performance. Previously, we proposed a lane departure detection system where we generated road reference heading (RRH) form a vehicle’s past trajectories acquired by GPS to detect unintentional lane departure with high accuracy. Now, we propose a technique to detect erratic driving behavior of a vehicle so that the system can issue timely warnings to alert the driver. We have considered two most common erratic driving scenarios; inter lane change and intra lane change erratic driving. We have developed an algorithm to detect both of these erratic behaviors and implemented the algorithm in a prototype system. We have extensively tested the algorithm in the field for a variety of erratic driving scenarios in real-time. Our field test results show that each time an erratic driving scenario occurs; our algorithm correctly detects it and issues a warning to alert the driver.KeywordsErratic driving warning systemRoad reference headingInter lane change erratic drivingIntra lane change erratic driving

The purpose of this research is to design an attendance system using Global Positioning System (GPS) technology, as a useful solution. At PT. Cipta Anugrah Musi for the marketing staff to still be able to do attendance without using a fingerprint attendance machine. Based on the results of research and discussion on the marketing employee attendance monitoring system in the form of this android mobile, the following conclusions can be drawn. From the black box testing that has been done, it can be concluded that the employee attendance monitoring system can run well and there are no problems. GPS technology can provide information on where to take employee photos so that it is easy to find out the position of the employee's absence at that time to avoid cheating in attendance.

We present a novel technique to send GPS coordinates to other mobiles through short message service (SMS) based on Global Positioning System (GPS) technology. Two algorithms, Kalman filter and velocity renovation, which can be used in conjunction with GPS are used as a basis for location tracking. This technique can be used to help people, using their mobile with or without GPS, to find the location of a friend using Google maps. The first coordinates are generated from a GPS assisted mobile on Google map, this location is then sent through SMS to another person. The latter can then see the exact location of the sender on his map with an accuracy of 0.57 m (Table 1). The advantages of this technology is by using existing equipments and free services like Google maps and GPS, we can construct a very reliable location tracking system. The basis of this program is GPS. GPS is a satellite-based navigation system made up of a network of 24 satellites placed into orbit by the United States (US) Department of Defense (DoD). GPS was originally intended for military applications, but in the 1980s, the government made the system available for civilian use. GPS can show you your exact position on the Earth in any weather conditions, anywhere in the world, 24 hours a day. There are no subscription fees or setup charges to use GPS. The improved location tracking algorithm which uses the Kalman filter with the velocity renovation process is implemented. The velocity renovation process consists of a velocity estimator and direction finder. By this process, the proposed algorithm can use accurately estimated velocity in the location estimation.

Global positioning system (GPS) technology was made possible after the invention of the atomic clock. The first suggestion that GPS could be used to assess the physical activity of humans followed some 40 y later. There was a rapid uptake of GPS technology, with the literature concentrating on validation studies and the measurement of steady-state movement. The first attempts were made to validate GPS for field sport applications in 2006. While GPS has been validated for applications for team sports, some doubts continue to exist on the appropriateness of GPS for measuring short high-velocity movements. Thus, GPS has been applied extensively in Australian football, cricket, hockey, rugby union and league, and soccer. There is extensive information on the activity profile of athletes from field sports in the literature stemming from GPS, and this includes total distance covered by players and distance in velocity bands. Global positioning systems have also been applied to detect fatigue in matches, identify periods of most intense play, different activity profiles by position, competition level, and sport. More recent research has integrated GPS data with the physical capacity or fitness test score of athletes, game-specific tasks, or tactical or strategic information. The future of GPS analysis will involve further miniaturization of devices, longer battery life, and integration of other inertial sensor data to more effectively quantify the effort of athletes.

The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data platforms from various countries and sectors, such as transport, geospatial, environmental, weather, and more. Businesses, researchers, national operators, administrators, and citizens at large can benefit from having dynamic traffic open data connected to heterogeneous datasets across Member States. This paper focuses on the development of a semantic model that enhances the basic service to access open traffic data through a LOD-enhanced Traffic Information System in alignment with the ITS Directive (2010/40/EU). The objective is not limited to just viewing or downloading data but also to improve the extraction of meaningful information and enable other types of services that are only achievable through LOD. By structuring the information using the RDF format meant for machines and employing SPARQL for querying, LOD allows for comprehensive and unified access to all datasets. Considering that the European standard DATEX II is widely used in many priority areas and services mentioned in the ITS Directive, LOD DATEX II was developed as a complementary approach to DATEX II XML. This facilitates the accessibility and comprehensibility of European traffic data and services. As part of this development, an ontological model called dtx_srti, based on the DATEX II Ontology, was created to support these efforts.

The ionosphere Total Electron Content (TEC) measurement using Global Positioning System (GPS) technology (GPS-TEC) is carried out over the equatorial low latitudes of Indian region viz; Bangalore $\left(13.0^{0}\mathrm{~N}, 77.5^{0}\mathrm{E}\right)$, Hyderabad $\left(17.5^{0} \mathrm{~N}, 78.5^{0} \mathrm{E}\right)$, Bhopal $\left(23.0^{0} \mathrm{~N}, 77.2^{0} \mathrm{E}\right)$, Delhi $\left(28.7^{0} \mathrm{~N}, 77.2^{0} \mathrm{E}\right)$, Ahmedabad $\left(23.0^{0} \mathrm{~N}, 72.5^{0} \mathrm{E}\right)$ and Guwahati $\left(26.0^{0} \mathrm{~N}, 92.0^{0} \mathrm{E}\right)$ for low solar activity (LSA i.e., 2008) and high solar activity (HSA i.e., 2014) periods of solar cycle 24. The measured GPS-TEC were analysed to report diurnal, day to day and monthly variation with equatorial low latitude, solar activity and geomagnetic conditions. Moreover, GPS-TEC variation is investigated to find the correlation with Sun Spot Number (SSN), Solar Flux (F10.7 cm) and Ap-index. From the results, it is found that the TEC is enhanced during HSA (2014) compared to LSA. However, depletion is observed during pre-sunrise hours (4:00 hrs. to 6:00 hrs.) particularly in spring and autumn equinox periods of HSA (2014). Also, found that the equatorial ionization anomaly (EIA) crest which is occurred over Bhopal region during LSA (2008) is shifted to the higher latitudes (i.e. Delhi region) during HSA period (2014). Further, it is observed that Ap-index and F10.7 cm have the better correlation with GPS-TEC compared to SSN for both LSA (2008) and HSA (2014) periods. Additionally, it is also observed that the increased solar activity has negative impact on correlation between GPS-TEC and Ap-index and F10.7 cm.

Abstract— Vehicle tracking system using GPS and GPRS integration googlemap provide information that is maximized with the technology of GPS (Global Positioning System) receiver which can indicate the position of the vehicle with the map and the ability of the appointment of direction and position coordinates (x, y or latitude, longitude) textually and visual at any location. Vehicle tracking system is built using equipment GIS (Geographic Information System) and dedicated to smartphones which support Global Positioning System (GPS), as well as portable computers, using General Packet Radio Service (GPRS) as a connection to the internet. The hardware used is a smartphone that supports GPS with supporting tools used are GoogleMaps, Notepad + +, NetBeans IDE 6.5.1, Mysql, Java (J2ME), PHP, JavaScript. The results of this system in the form of tracking system capable of monitoring the movement of vehicles on an ongoing position by utilizing GPS and GPRS as the sender of the wireless data and Internet connections. Keywords— GIS, GPS, GPRS, googlemaps, J2ME,

A vehicle tracking system is very useful for tracking the movement of a vehicle from any location at any time. An efficient vehicle tracking system is designed and implemented for tracking the movement of any equipped vehicle from any location at any time. The proposed system made good use of popular technology that combines a smartphone with an Arduino UNO. This easy to make and inexpensive compared to others. The designed in vehicle device works using Global Positioning System (GPS) and Global System for Mobile Communication(GSM) technology that is one of the most common ways for vehicle tracking. The device is embedded inside a vehicle those positions is to be determined and tracked in real time. A vehicle tracking system is an electronic device installed in a vehicle to enable the owner or a third party to track the vehicle's location. This paper proposed to design a vehicle tracking system that works using GPS and GSM technology, which would be the cheapest source of vehicle tracking and it would work as anti-theft system. It is an embedded system which is used for tracking and positioning of any vehicle by using Global Positioning System (GPS) and Global system for mobile communication (GSM). An Arduino UNO is used to control the GPS receiver and GSM module. The vehicle tracking system uses the GPS module to get geographic coordinates at regular time interval. The GSM module is used to transmit and update the vehicle location to a database. This paper gives minute by minute update about vehicle location by sending SMS through GSM modem. This SMS contain latitude and longitude of the location of vehicle. Arduino UNO gets the coordinates from GPS modem and then it sends this information to user in text SMS. GSM modem is used to send this information via SMS sent to the owner of the vehicle. Location is displayed on LCD. And then Google map displays location and name of the place on cell phone. Thus, user able to continuously monitor a moving vehicle on demand using smartphone and determine the estimated distance and time for the vehicle to arrive at a given destination.

Information communication technology related vehicle services need to support location and the transmission of communication and traffic information between vehicles, or between vehicles and infrastructure. In particular, the technology for the measurement of the accurate location of a vehicle is dependent on location-determination technology like Global Positioning System, and this technology is very important for vehicle driving and location services. If, however, a vehicle is in a Global Positioning System radio-shadow area, neither a Global Positioning System nor a Differential Global Positioning System can accurately measure the corresponding location because of a high error rate caused by the shadowing intervention. Even an Inertial Measurement Unit could provide inaccurate location data due to sensor drift faults around corners and traffic-road speed dumps. Vehicles, therefore, need an absolute location to prevent the provision of inaccurate vehicle-location data that is due to radio-shadow areas and relational Inertial Measurement Unit positions. To achieve this, we assume that vehicle-to-infrastructure communication is possible between a vehicle and roadside unit in Vehicular Ad hoc Networks. We used iBeacon at the roadside unit and revised its Universally Unique Identifier so that it generates absolute Global Positioning System location data; that is, moving vehicles can receive absolute Global Positioning System data from the roadside unit-based iBeacon. We compared the proposed method with current Global Positioning System and Inertial Measurement Unit systems for the following two cases: one with a radio-shadow area and one without. We proved that the proposed method generates location data that are more accurate than those of the other methods.