A Big-Data Trajectory Combination Method for Navigations using Collected Trajectory Data
نویسندگان
چکیده
منابع مشابه
Sometimes Too Big: Compressing trajectory Data
In the regime of “Big Data”, data compression techniques take crucial part in preparation phase of data analysis. It is challenging because statistical properties and other characteristics need to be preserved while the size of data need to be reduced. In particular, to compress trajectory data, movement status (such as position, direction, and speed etc.) need to be retained. In this paper, we...
متن کاملA Hybrid MPI+OpenMP Application for Processing Big Trajectory Data
In this paper, we present the use of parallel/distributed programming frameworks, MPI and OpenMP, in processing and analysis of big trajectory data. We developed a distributed application that initially performs a spatial join between big trajectory data and regions of interest, and further aggregates join results to provide analysis of movement. The solution was implemented using hybrid distri...
متن کاملBig Trajectory Data Analysis for Clustering and Anomaly Detection
We’ve been developing a sensor that can acquire positional data. Recently, a position-based big data creation is easy task and trajectory analysis is the highest priority for ”position-based service”. Traffic congestion, marketing mining, and pattern analysis are the one of the examples in trajectory analysis field. In this paper, we propose the trajectory analysis approach for clustering and a...
متن کاملA Hybrid Spatio-Temporal Data Indexing Method for Trajectory Databases
In recent years, there has been tremendous growth in the field of indoor and outdoor positioning sensors continuously producing huge volumes of trajectory data that has been used in many fields such as location-based services or location intelligence. Trajectory data is massively increased and semantically complicated, which poses a great challenge on spatio-temporal data indexing. This paper p...
متن کاملA big data approach for logistics trajectory discovery from RFID-enabled production data
Radio frequency identification (RFID) has been widely used in supporting the logistics management on manufacturing shopfloors where production resources attached with RFID facilities are converted into smart manufacturing objects (SMOs) which are able to sense, interact, and reason to create a ubiquitous environment. Within such environment, enormous data could be collected and used for support...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Korea Multimedia Society
سال: 2016
ISSN: 1229-7771
DOI: 10.9717/kmms.2016.19.2.386