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The avionics system is an important part of modern fighters, and the analysis and processing of large data generated by the avionics system can provide some guidance for the pilot's decision-making. After analyzing the existing distributed framework, a multi-platform avionics data system is designed and implemented to solve the problem that heterogeneous real-time data generated by a large number...
With extensive application of MIS, MRP, ERP and other advanced enterprise management systems in various enterprises, informatization level and management level of enterprises have been continuously improved. Faced with increasingly fierce market competition, more and more enterprises recognize that acquisition, analysis, screening and application of data play significant roles in enterprise decision-making...
The continuously growing wealth of data has radically changed the data science landscape. At the same time, Big Data tools have known important progress in terms of optimising performance and scalability. However, applying them into practical deployment settings is still a challenging task that is highly dependent on the particularities of the data. In this paper, we present our experiences with implementing...
A collaborative research and technology development effort was conduct by ARL Penn State and AMSAA to develop embedded diagnostic and predictive technology for ground platform power generators. An Army Freightliner truck was used as the test bed, and it was outfitted with seven new alternators of the same model type that each had a specific seeded fault, including a baseline non-faulted alternator...
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse data in order to generate hypotheses and develop models. In this paper we describe three recent biomedical Machine Science studies, and use these to assess the current state of the art with specific emphasis on data mining,...
Nowadays, datasets grow enormously both in size and complexity. One of the key issues confronted by large-scale dataset analysis is how to adapt systems to new, unprecedented query loads. Existing systems nail down the data organization scheme once and for all at the beginning of the system design, thus inevitably will see the performance goes down when user requirements change. In this paper, we...
The design software used in the Matlab interface as the application development platform, and with a SQL Server database as the background data storage tool, in order to achieve efficient human-computer interaction function. From the results of view, the end result meets the design requirements, host computer receives a wireless sensor network module transmission to the temperature, humidity, air...
Unmanned surface vessel (USV) which is an unmanned and intelligent platform which relied on remote control or autonomous navigation. Compared with conventional surface vessels, USV has many merits such as variegated function, flexibility of operations, zero injury and network information center. Trimaran is a kind of high-speed-crafts, and has broad application for military and civilian market. Here,...
Access point usage patterns reflect to a certain extent characteristics of spaces where they are deployed, and allow for the identification of similarities between those spaces. Our analysis of the WiFi network as a proxy to space usage was conducted aiming to use it as a means for the characterization of physical spaces and, consequently, as a source of information for a dynamic symbolic model representing...
Because of the continue progress of spatial data acquisition technology and the rich data collection methods, spatial data growth as explosive speed, so the research on spatial data storage models has become a breakthrough. In this paper the concept model of spatial data storage is abstracted into geometry layer, attribute semantic relationship layer and core layer, the former supplies the representation...
Nowadays, a lot of urban traffic problems are caused by unreasonable construction of large-scale urban projects. So, in order to avoid the impact of large-scale projects on the key traffic of cities, the traffic impact analyses (TIA) of them are essential. This paper gives a GIS-based analytical framework which is different from the current TIA technology and a GIS system design supporting TIA. It...
This paper studies the solution to a kind of data acquisition model, introduces its design principle and architecture, makes a detailed study of its key technology and sums up a kind of method for realizing multi-source data synthesis acquisition, thereby laying a good foundation for the upper data analysis of unified network security management system.
To analyze the education of a school, the first thing is to analyze the whole teacher team of that school. How to measure the quality of the team and the personal qualities of team members, to understand the development trend of the whole team and the potential ability becomes very necessary. A well established data analysis system for teachers can provide both macro-data and micro-data analysis for...
The implementation of a NASA policy to collect R&M data to support ongoing and future projects has been limited, due in part to NASA's organization into largely independently operating programs and projects and the lack of a structured approach for the distribution of R&M data across those programs and projects. This paper describes the concept of a data collection and analysis environment...
In this paper we propose a robust system for window detection using popular descriptive statistics and image based methods, making use of 3D information from a laser scanner. The scanner generates 3D point clouds containing intensity and distance information in a spherical coordinate system, with optional additional RGB texture information. The applied descriptive statistical method exploits basic...
In this paper, we describe the Collaborative Panel Administrator, a collaboration framework designed to manage the lifecycle of virtual teams of domain experts working in collaborative gaming and modeling. A unique feature of the CPA is the way it is guided by sound experimental research design so that information collected from panelists can be vetted, and knowledge built from this information can...
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