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Reliability is an important metric for measuring the quality of software. Many methods have been proposed for online predicting and improving software reliability, but most of them have the following weakness: they are not able to predict software reliability on different time intervals and to locate the faulty components that cause the declining of the reliability either. This paper proposes a new...
Classification is one of the most significant methods in predictive analysis for categorical labeled problem. However, an accurate classification model is difficult to train for some real cases due to imbalanced samples, large fluctuating records, and overlapping class labels. For solving the above problems, in this work, we introduce a Two-Stage with Enhanced Samples (TSES) prediction framework that...
The chemical and petroleum (oil and gas, C&P) is a fast growing and diversified industry. Various applications, from field technique equipment data exchange to business execution with Enterprise Resource Planning (ERP) system, have been deployed to manage and record operation performance. Various industry standards have been defined to create a commonly accepted nomenclature for representing structural...
A reverse-problem in modern systems biology focuses on modeling and simulation of gene regulatory networks, metabolic networks from time-course data. With the depth of research, not only the network structures but also its dynamics are paid more attention. We proposed a method to model the gene regulatory networks in Escherichia coli by using Immune Memory Particle Swarm Optimization(IM-PSO) and Ordinary...
Positioning of real world objects (e.g., people) in indoor environment will facilitate location dependent or context-aware applications. Due to severe multi-path fading effect in indoor wireless environment, received signal strength indicator (RSSI) based indoor positioning systems usually require a great amount of human intervention for data measurement during the system initiation. This paper proposes...
An application system is presented to implement the integration of microscopic traffic simulation and GIS, and a spatio-temporal data model is proposed as the solution for the integration. We mainly discuss the framework, spatio-temporal data model and dynamic map layer of integrative system. The representative microscopic traffic simulation system, MITSIM, is adopted as the model to analyze the simulation...
The traffic micro-circulation optimization can fully utilize the capacity of road network. Based on the example of ZhongGuanCun core area including 58 roads in Beijing and its traffic organization problems, in this paper, we propose 8 measures to satisfy traffic micro-circulation optimization and then take the advantage of the VISSIM software to simulate traffic operation of the regional road network...
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