The Experts below are selected from a list of 397950 Experts worldwide ranked by ideXlab platform
Wu Xiao-yue - One of the best experts on this subject based on the ideXlab platform.
Systems engineering and electronics, 2010Co-Authors: Wu Xiao-yueAbstract:
For Satellite Data transmission scheduling problems,a system framework of tasks scheduling heuristics is founded.Heuristics based on task start time,task scheduling profits,the flexibility of task available resources and the conflict degree of task scheduling are proposed,and the application of tasks scheduling heuristics in ant colony optimization algorithm for Satellite Data transmission is researched.Simulation results of different scale scenarios show that tasks scheduling heuristics can help the ant colony algorithm solve Satellite Data transmission scheduling problems.
Computer Simulation, 2008Co-Authors: Wu Xiao-yueAbstract:
Satellite Data transmission scheduling is a kind of complex combinational optimization problem, which means how to assign ground resources for Satellite Data transmission tasks, and is one of the important problems in space flight. The module of STK/Scheduler is a scheduling module of STK and offers the function of re-exploitation. This paper studies the application of STK/Scheduler in Satellite Data transmission scheduling. At first, based on the analysis of this problem, Satellite Data transmission task model and scheduling model are established. Then, Satellite Data transmission scheduling system based on STK/Scheduler is designed. At last, by using AFIT benchmark, the scheduling result shows that when the task scale is not very larger, STK/Scheduler is a shortcut for the problem of Satellite Data transmission scheduling.
Systems Engineering - Theory & Practice, 2008Co-Authors: Wu Xiao-yueAbstract:
This paper studies a Genetic Algorithm based Hybrid Scheduling Algorithm of Satellite Data transmission.At first,the paper establishes Satellite Data transmission task model and Satellite Data transmission scheduling model,and presents the conceptions of Satellite Data transmission possible clash and task executing clash degree,and then designs a clash resolution based genetic algorithm,and gives the genetic algorithm based Satellite Data transmission hybrid scheduling algorithm.This scheduling algorithm includes three components: the first is making the set of possible clash in order to limit scale of problem,and to limit the length of individual of genetic algorithm;the second is making the order of tasks to assign ground station resources and executing time;the third is according to task executing clash degree to assign ground station resources and executing time for every task to reduce as more task clash as possible.At last,by using an example,it shows that the hybrid algorithm's performance is better than FCFS(First Come First Service) algorithm.
2008Co-Authors: Wu Xiao-yueAbstract:
A hybrid scheduling algorithm based on genetic algorithm is proposed in this paper for reconnaissance Satellite Data transmission.At first,based on description of Satellite Data transmission request,Satellite Data transmission task model and Satellite Data transmission scheduling problem model are established.Secondly,the conflicts in scheduling are discussed.According to the meaning of possible conflict,the method to divide possible conflict task set is given.Thirdly,a hybrid algorithm which consists of genetic algorithm and heuristic information is presented.The heuristic information comes from two concepts,conflict degree and conflict number.Finally,an example shows the algorithm's feasibility and performance better than other traditional algorithms.
Journal of systems engineering, 2007Co-Authors: Wu Xiao-yueAbstract:
This paper studies the scheduling problem of Satellite Data transmission,which is how to assign ground station resources reasonably in order to accomplish Satellite Data transmission tasks scheduling effectively on the condition of many tasks but finite resources.Firstly,the paper establishes Satellite Data transmission task model and Satellite Data transmission scheduling model,and then puts forward the composite-priority concept and its component indexes,and analyzes each index in detail.Based above,this paper gives a composite-priority-based Satellite Data transmission scheduling algorithm.By simulating,it shows that the algorithm can give satisfactory scheduling results.
Matthew Jochum - One of the best experts on this subject based on the ideXlab platform.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Co-Authors: Weiguo Han, Matthew JochumAbstract:
High volumes of Satellite Data management within an organization is still challenging and daunting in the era of big Data. The increasing information technology costs and limited budgets, growing Satellite Data needs, Data availability across multiple teams and projects, strategic goals of organization, and expected project outcomes require better Satellite Data management mechanism and system to facilitate research and development activities. An organization level centralized Satellite Data repository is a practical solution to satisfy these requirements. This paper describes the best practices and experiences from building such a central Satellite Data repository within our organization, including Data management strategy and policy, scalable and extensible system infrastructure, comprehensive Data management system, and technical support and user assistance. These practices can be borrowed and applied in other organizations with similar requirements.
International Geoscience and Remote Sensing Symposium, 2018Co-Authors: Matthew JochumAbstract:
STAR Central Data Repository (SCDR) collects a large volume of real-time and near real-time Satellite Data to improve Data management and facilitate research and development activities across the organization. How to track and showcase the usage of this system using formal metrics is still challenging, and is very useful and helpful to better manage Data, monitor system status, evaluate program output, and plan future infrastructure. This paper proposes design and implementation of a metrics analysis system to collect metrics information on user Data requests, manage and organize request information, and represent metrics information in an intuitive and interactive manner. The system offers detailed information on Satellite Data product requests from users on various hosts and robust capabilities of generating insight charts and periodical report.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017Co-Authors: Weiguo Han, Matthew JochumAbstract:
A wide array of time-sensitive Satellite Data is required in the research and development activities for natural hazard assessment, storms and weather prediction, hurricane tracking, disaster and emergency response, and so on. Identifying and analyzing the latencies of large volumes of real-time and near real-time Satellite Data is very useful and helpful for detecting transmission issues, managing IT resources, and configuring and optimizing Data management systems. This paper introduces how to monitor and collect important timestamps of Data transmissions, organize them in a NoSQL Database, and explore Data latency via a user-friendly dashboard. Taking Sentinel series Satellite Data as an example, Data transmission issues are illustrated and investigated further. Latency analysis and explorations help Data providers and managers improve Data transmission and enhance Data management.
Nitant Dube - One of the best experts on this subject based on the ideXlab platform.
Journal of Intelligent Systems, 2017Co-Authors: Sunitha Abburu, Nitant DubeAbstract:
Several Satellite Data receiving and distributing centers across the world support Data storage, processing, and retrieval based on Satellite, sensor, product, latitude, longitude, date and time, etc. These systems address queries on Satellite products that are mostly high-level concepts. A more sophisticated retrieval system that supports ontological concepts, subconcepts, and concept hierarchical queries delivers refined results that broaden the scientific horizon of the application domain. To achieve this, the current research designed and implemented an ontology concept-based Satellite Data management and retrieval methodology. This enhances the performance of the Satellite Data retrieval system and supports semantic queries. The performance of the retrieval system depends upon the strategy followed to maintain domain ontologies and Satellite Data instances. Three ontology-based Satellite Data management strategies are discussed, and their performance was evaluated by taking real and benchmark metrics. A semantic query set of 25 queries was chosen covering various concepts, subconcepts, and concept hierarchical-related queries that involve various SPARQL query constructs. The test bed is taken from real-time Satellite Data received from Kalpana-1 of various sizes of triple stores.
International Journal on Semantic Web and Information Systems, 2016Co-Authors: Sunitha Abburu, Nitant DubeAbstract:
Current Satellite Data retrieval systems retrieves Data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based Satellite Data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using Satellite observation parameters and concept based classification of Satellite Data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through Satellite observation parameters and phase 2 describes ontology concept based Satellite Data classification. The efficiency of the methodology is been tested by taking the Kalpana Satellite Data from MOSDAC and weather ontology. This achieves concept based retrieval of Satellite Data, application interoperability and strengthen the ontologies. The current methodology is implemented and results in concept based Satellite Data classification, storage and retrieval.
Wenyi Zhang - One of the best experts on this subject based on the ideXlab platform.
Procedia Environmental Sciences, 2011Co-Authors: Xirong Guo, Peng Huang, Wenyi ZhangAbstract:
Abstract With the rapid advancement in remote sensing technology, the application of remote sensing Satellite Data (hereinafter referred to as Satellite Data) becomes more and more widely; meanwhile with the increase of Satellites, the source of Satellite Data get more and more extend. In consequence, the management of Satellite Data becomes more and more difficult. This paper describes in detail how to use PostgreSQL, Geoserver and WorldWind to build a simple management system of Satellite Data. The system implements the three-dimensional visualization presentation of Satellite Data so that users can get the distribution directly, and also has a simple statistical analysis of Satellite Data so that users can acquire relative information for ordering the Data and mine the deeper information contained in the Data.
Pla Uni - One of the best experts on this subject based on the ideXlab platform.
2008Co-Authors: Pla UniAbstract:
The status and development of the application of Satellite Data assimilation in numerical weather forecast is introduced. A large amount of Satellite Data has already being used in numerical weather forecasts. It occupies major amount of Data resources and has great effect on the accuracy improvement of numerical weather forecasts. The attempt to assimilate the Satellite Data affected greatly by surface emissi-vity, cloud and precipitation is being made to fully use Satellite observation in existence. At the same time, the application of Satellite Data assimilation in numerical weather forecasts is developing toward an accommodation with the great amount and new types of Satellite measurements brought by the global observation system. Introduction is made to two main joint Satellite Data assimilation centers: JCSAD (Joint Center of Satellite Data Assimilation) and NWP SAF (Satellite Applications Facility for Numerical Weather Prediction), which were built to meet the requirements of the status and development of the application of Satellite Data assimilation in numerical weather forecasts, with a brief discussion on Satellite Data assimilation in numerical weather forecast in China.
Journal of PLA University of Science and Technology, 2003Co-Authors: He Ming-yuan, Pla UniAbstract:
Beginning with processing meteorology Satellite Data, this paper firstly analyzes the character of thunderstorm cloud in multi-channel Satellite cloud images, and then proposes a method to distinguish thunderstorm cloud using multi-channel digital Satellite cloud images. The center is located after the thunderstorm cloud is distinguished. And the location is used to update the lightning Data measured by lightning localizer in order to enhance the location precision of lightning localizer and the accuracy of distinguishing thunderstorm using Satellite Data. The preliminary results show that it improves the accuracy of lightning location largely by updating the lightning location with Satellite location. Good results are obtained from primary experiments.
Journal of PLA University of Science and Technology, 2002Co-Authors: He Ming, Pla UniAbstract:
In recent years, the applications of Satellite Data, which has become the necessary Data source for weather forcasting, are more and more popular. For the purpose of practical application and research, a set of methods of processing GMS 5 Satellite Data, including Data separating, ordinates and position displaying, error correcting and projection processing are developed. The results show that the proposed methods are very useful to both operational application and research work.