The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Congenital heart disease is the most common birth defect, with an incidence of 75 in every 1000 births. As a result of improved interventions, 90% of people with congenital heart disease now survive to adulthood. They must undergo regular imaging to assess their biventricular (left and right ventricular) function. Analysis of the images is problematic due to the large variety of shapes and complex...
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral phenotype as well as clinical, physiologic, and pathologic parameters. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) now diagnoses ASD using a 2-dimensional model based social communication deficits and fixated interests and repetitive behaviors. Sorting out heterogeneity...
To improve the prediction precision of residential property, the paper brings up a mixed optimizing model based on IPSO-BPNN. The model has adopted gray correlation theory to optimized the the index that influences price and use IPSO to optimize the definition of original weights and threshold value. We take the real estate market in Changsha as an example. The result shows that the speed of convergence...
For the purpose of filtering road spectrum this paper proposed an adaptive Kalman filtering (AKF) algorithm based on accurate autoregressive (AR) model. The proposed AKF can overcome the disadvantages such as complicated computation process and poor real-time performance when applying normal AKF. The algorithm can implement AKF by adjusting gain matrix Kk on the base of innovation. The process of...
Some spectrum indicators, such as central length, SNR, spectral resolution affect accuracy of water quality retrieval, but are ignored due to the limitations of a single sensor. Take Chlorophyll a retrieval as an example, the sensitivity analysis was conducted using single band, first-order differential and band ratio methods. The results indicated that optimal central wavelength would change because...
A huge limitation of the correlation analysis in existing scatterer model is that the former model, only consisting of uniformly distributed scatterers, ignores the variability of complex scattering intensity in real situation. In fact, each part of the target has a different scattering architecture. Moreover, the scattering intensity of pinnacle or boundary scattering structure is an order of magnitude...
In this paper, we present an Artificial Bee Colony (ABC) algorithm coupled with a sensitivity analysis method to guide its multidimensional search process. This sensitivity analysis method can evaluate the weight of each dimension of the problem on the objective function computation. We propose a new method for selecting a random neighbor during ABC search phase, using the information of the sensitivity...
The fraction of photosynthetically active radiation (FPAR) as a key biophysical variable plays an important role in gross primary production (GPP) modeling. In this study, we employed six different FPAR derived from MODIS FPAR, leaf area index (LAI), normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), respectively, which were widely used for modeling GPP in previous...
As the important factors affecting the economic growth, system innovation and technological innovation have been widely attended. But there is little quantitative research on them. According to the theory of grey correlation analysis, this paper calculates the contribution degree to the economic growth through 10 indexes which can measure the system and technological innovation from 2005 to 2014....
In the times of big data, online sales staff become increasingly important with E-business generally replacing entity selling. The study takes online sales staff as research objects, raises hypotheses and a conceptual model based on literature review and makes a deep analysis of the relationship between the work value of online sales staff and the work performance. The results reveal that the work...
In the 21st Century, China's mobile communications has a huge space for development. The emergence of independent of the 4th generation mobile communication technology provides an unprecedented opportunity for the development of China's mobile communications. As the world's largest telecom operator, China Mobile Communications Corporation has become the leader of promoting China's 4th generation mobile...
At present, to improve their businesses and obtain more profits by enhancing enterprise competitiveness, more and more listed companies have been committed to the selection of executives and the study of motivation. Among the many forms of incentives, stock-based compensation play a vitally important role. Many scholars abroad did survey on the relationship between equity incentive and corporate performance,...
For inventory control strategy, the more common side strategy is centralized inventory control strategy and decentralized inventory control strategy. In this paper, multiple retailers on the supply chain are chose as research objects to study the inventory control strategy under random demand of these retailers in a multi-period inventory system. Considering the shortage costs and inventory holding...
Along with the development of split-share reform and capital market, the trend of equity decentralization in listed companies is becoming more and more obvious. Professional managers' betrayal of large shareholders frequently occurs, which leads to the competing for corporate control between executives and shareholders. This paper studies on the corporate control from the perspective of competing...
Recently, social event recommendation, which is to recommend a list of upcoming events to a user, has attracted a lot of research interests. In this paper, we first construct a heterogeneous graph to express the interactions among different types of entities in event-based social network. Based on the constructed graph, we propose a novel recommendation algorithm called reverse random walk with restart...
Taking a 1000MW ultra-supercritical once-through boiler as an example for research, two kinds of soft measurement methods of once-through boiler water-coal ratio is studied: With Auto Regressive Integrated Moving Average (ARIMA) time series method, water-coal ratio data after filtering is processed with parameter estimation and dynamic prediction, then the error analysis verified the model can accurately...
In order to improve the accuracy of recommendation algorithm in social network applications, a new recommendation method based on traditional collaborative filtering recommendation algorithm, which called Trust-based Collaborative Filtering, is proposed and verified in this paper. Firstly, we analyze users' behaviors and relationships in social network, and propose a trust calculation method based...
To reduce the inflation for statistical uncertainty and describe the real error distribution objectively, generalized autoregressive conditional heteroskedasticity (GARCH) model is utilized in this paper to model and overbound ground based augmentation system (GBAS) heavy-tail errors. Based on the GARCH model, heavy-tail errors are normalized to the standard Gaussian distribution, and error samples...
Nowadays, many MOOC platforms have arisen to provide free knowledge. These platforms have a large catalog of courses for different specializations that progressively demand more specific learning resources and assessment methods to evaluate the progression of students. Current MOOC platforms are gradually giving support to these new requirements but with a limited assistance. This paper presents the...
The channel nonstationarity caused by the train mobility is measured for the composite high-speed railway (HSR) scenario. The time-varying quasi-stationarity region analysis is based on spectral divergence (SD) metric carried on different frequencies. An obvious transition region is found in composite HSR. Moreover, based on the comparison of different frequencies, we found the apparent discrepancy...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.