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When a mobile device connects to a telecom network (e.g., GSM 2G, CDMA 3G and LTE 4G), the network generates measurement report (MR) data containing signal conditions to support communication services. Using MR data to predict the accurate position of a mobile device is an important problem in Telco industry, called Telco localization problem. Although the literatures have proposed various MR-based...
Despite the popularity of the Apache Hadoop system, its success has been limited by issues such as single points of failure, centralized job/task management, and lack of support for programming models other than MapReduce. The next generation of Hadoop, Apache Hadoop YARN, is designed to address these issues. In this paper, we propose YARNsim, a simulation system for Hadoop YARN. YARNsim is based...
In simulation of battlefield visualization, the modeling of terrain can affect the simulation effect directly, so focusing on the 3D terrain modeling should be emphasized. In this paper, technique of 3D terrain modeling and optimizing is discussed in detail, and so is the normal steps of modeling of 3D terrain with Multigen Creator. Especially how to obtain and preprocess the original data, and the...
The spatial fixed-pattern noise (FPN) compromises severely the quality of the acquired imagery, even makes such images inappropriate for some applications. In order to lower the FPN, some critical nonuniformity correction (NUC) algorithms such as NUC based on linear model, scene-based NUC and so on have been developed. But each algorithm has some drawbacks: restricted application in small dynamic...
The good performances of most classical learning algorithms are generally founded on high quality training data, which are clean and unbiased. The availability of such data is however becoming much harder than ever in many real world problems due to the difficulties in collecting large scale unbiased data and precisely labeling them for training. In this paper, we propose a general Contrast Co-learning...
Performance and reliability are eternal topics in storage system. Nowadays, vast majority of storage system are made up of hard disk drive. The performance and reliability of hard disk drive are very important subclass of the former. So far, most researches of hard disk drive are single benefit. Some improve performance and some enhance the reliability. It is very little production which can heighten...
Recently, many commercial products, such as Google Trends and Yahoo! Buzz, are released to monitor the past search engine query frequency trend. However, little research has been devoted for predicting the upcoming query trend, which is of great importance in providing guidelines for future business planning. In this paper, a unified solution is presented for such a purpose. Besides the classical...
Based on the business process of resource management, this paper analyses spatial-temporal characteristics, and establishes the AAES spatial-temporal data model. This model is composed of 6 tuples, which include the agent set, the agent-state set, the branching spatial data model based on point sets, the branching spatial data model based on points, the branching temporal data model and the relations...
A new multi-view model based on UML is proposed in this paper, that is "6 +1" view model. The model describes the architecture of a system from seven perspectives which contains scenario, concept view, framework view, data view, process view, component view and deployment view. And the model is applied to describe the architecture of the steel base management system to verify its feasibility...
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