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Campus card system in generated a lot of data during it's operation, and the system itself cannot analyze these data. How it can be learned from these massive, outdated data for student management to assist decision-making becomes a very realistic subject. This paper takes the transaction data of campus card as the research object, and uses the comprehensive application of data warehouse, online analysis...
Paper presents some specific technics developed to improve the modeling of Multiunit Probabilistic Safety Analyses (MUPSA) level 1. PSA has the goal to calculate risk metrics, as for instance Core Damage Frequency (CDF) for the reactor core. On the other side, extended targets for PSA, by considering more hazards at a time and effect of those on more than one nuclear reactors at a site, make the evaluation...
Software Quality model is a well-accepted way for assessing high-level quality characteristics (e.g., maintainability) by aggregation from low-level metrics. Aggregation method in a software quality model denotes how to aggregate low-level metrics to high-level quality characteristics. Most of the existing quality models adopt the weighted linear aggregation method. The main drawback of weighted linear...
Speckle tracking echocardiography (STE) is a very promising technique for the assessment of left ventricular (LV) function. Nevertheless, to date, it did not become part of clinical routine due to: i) inter-vendor variability; ii) difficulties in data interpretation. Anthropomorphic patient characteristics (APC) are known to affect the LV strain values as studies have shown the effect of gender, age,...
The single terminal fault location method is based on the wavelet modulus maximum to obtain the time difference that the fault traveling wave reach the same measuring point, which can calculate the fault distance, but the error of the actual results is relatively large. In this paper, a traveling wave fault location method based on Wavelet and improved singular value difference spectrum is proposed...
The real-time and accurate forecasting of expressway traffic is an important prerequisite for the development of reasonable traffic management control scheme, the reasonable choice of travel route and the effective prevention of traffic congestion. The current traffic data are mostly collected using a variety of monitoring equipment, but the data can only reflect a certain traffic flow and the cost...
This paper presents a novel carbon emission flow (CEF) model to assess and analyze the carbon emission of each component in power networks. Through the use of information about CEF, demand side management (DSM) and supply side management (SSM) are combined to reduce the emission. Three levels of load curtailment and three strategies of renewable energy sources (RES) utilization are proposed. The IEEE...
This paper introduces a model for dynamical reliability parameters assessment based on Bayesian methodology, which can be applied, with a good approximation, either for serial, parallel or mixt subsystems configurations. The failure data for component, subcomponent or elements are included in posterior distributions, enabling the extrapolation of failure parameters to similar entities in related systems...
To effectively promote the quality of interior decoration, in this paper, we propose a novel interior decoration system design method using the 3D scene modeling technology. Firstly, OpenGL library functions are made up of six categories, including: 1) OpenGL core library, 2) OpenGL utility library, 3) OpenGL auxiliary library, 4) OpenGL tool library, 5) windows oriented library, and 6) Win32API function...
This paper proposes a position detection approach to achieve the sensorless control of the planar switched reluctance motor (PSRM) using the current injection method. The mechanical structure and mathematical model of the PSRM are first given. The principle of the sinusoidal current injection method is then clarified to detect the position of the sensorless PSRM. Furthermore, the selection of the...
This paper introduces a multi-model approach for the identification of the pumping (water distribution) system in a two tank process, namely ASTANK2. An improved hill climbing algorithm is applied, in order to find the optimal structural indices of the identification models. A simulator that integrates the proposed numerical models and the analytical models developed in authors' previous work is implemented...
Independent vector analysis (IVA) has exhibited promising applications to complex-valued fMRI data, however model order effects on complex-valued IVA have not yet been studied. As such, we investigate model order effects on IVA using 16 task-based complex-valued fMRI data sets. A noncircular fixed-point complex-valued IVA (non-FIVA) algorithm was utilized. The model orders were varied from 10 to 160...
As one of the most popular instant messaging applications on smart devices, mobile QQ contains kinds of user data which even includes the evidence information of important investigation, so forensic analysis for mobile QQ is significant. Aiming at this situation, at first, this paper introduced the basic information about Android system and mobile QQ, and the research status of forensic model and...
Non-standard warehouse receipt pledge credit is a common and basic service form of supply chain financial products. This paper attempts to realize formalization and visualization description for such products. Petri net is used to model the business process of this service, and a hierarchical business model is built with the idea of modularization. Based on model correctness and performance analysis,...
With the improvement of people's living standards, there is no doubt that people are paying more and more attention to their health. However, shortage of medical resources is a critical global problem. As a result, an intelligent prognostics system has a great potential to play important roles in computer aided diagnosis. Numerous papers reported that tongue features have been closely related to a...
The problem of automatically fall detection of older people living alone is a popular research topic since falls are one of the major health hazards among the aging population aged 65 and above and the population of them in China is more than 100 million. In this paper, we present an automatic human fall detection framework based on video surveillance which can improve safety of elders in indoor environments...
With the development of distribution network, and the intelligentization of terminal devices in distribution automation system, it becomes key point that research the task allocation method and self-adaptive task allocation model from perspective of distributed system to improve the utilization of the devices in whole distribution network and optimize the system performance on intelligent terminal...
With the rapid development of Internet and big explosion of text data, it has been a very significant research subject to extract valuable information from text ocean. To realize multi-classification for text sentiment, this paper promotes a RNN language model based on Long Short Term Memory (LSTM), which can get complete sequence information effectively. Compared with the traditional RNN language...
This paper describes an ontology driven framework for collaborative information analysis and knowledge discovery. The framework, called Semantic Technology for Evidence Exploration and Learning (STEEL), includes a collection of methods and an architecture that implements the method. The framework includes methods for collaborative visual analytics, workflow automation mechanisms, an automation support...
The vibration of ice-shedding on overhead transmission lines will result in serious damage to tower-line system. In order to reveal the effect law of the different time parameter on the jump height of iced overhead lines after ice shedding, the conductor-insulator coupled finite element model was established, and the additional force method was employed to simulate the process of ice-shedding from...
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