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.
To bridge the semantic gap between low-level visual features and high-level semantic concepts, this paper puts forward a novel feedback mechanism which is based on both instance and keyword features. In offline part, keyword space model is first constructed and updated using manifold ranking annotation; in online image retrieval and feedback part, the keywords which is return to user for labeling...
In order to meet the educating and training requirements of tactical communication network (TCN), one advanced means is to develop its simulative training system. Firstly, the general framework of TCN simulative training system was designed, which included the system constitution, software structure and application manner. Secondly, a single federation and multi federation architecture were proposed,...
This paper takes a critical review of literature relevant to the expatriate selection. After a more precise definition of expatriate success, we analysis the three main sections of selection criteria and compile a comparison table, for the purpose of achieving a systematic overview. Furthermore, we establish the criteria measurements and discuss implications for both academicians and practitioners...
In this paper, mathematical model for heat treatment is constructed according to the process requirement of Roller-hearth Normalizing Furnace. Based on the intelligent control theory of neural network and particle swarm algorithms, the improved PSO-ANN model is established and simulated using lots of data acquired from the site. The result indicates the improved PSO-ANN model can raise the precision...
This paper analyzed some existing problems of the present air-cargo forecast methods. Then it established the SVM (support vector machine) model for air-cargo demand forecasting. Taking the historical statistical data of Beijing to Shanghai cargo volumes from Jan-2005 to Mar-2006 as fitting and forecasting specimens, we can obtain the prediction model to optimize, which was compared with that of Brown...
Abstract-To study the effect of Xiaoyaosan on changes of behaviors (the open field test, elevated plus maze test and Y-maze test) in chronic immobilization stress (CIS) rats. Methods: 28 male Sprague-Dawley rats were randomly divided into control group, model group and Xiaoyaosan group. CIS was used to induce stress in rats of model group and Xiaoyaosan group, 3 h a day for 21 days. Xiaoyaosan was...
This paper describes the application of the embedded sound-controller, SUNPLUS SPCE061A, combined with Microchip 2.4 GHz ZigBee modules, in Home Automation. Applying the speech recognition library provided by SUNPLUS, we use a multi-stage algorithm to identify which one of the target home devices should take the corresponding operation. The recognized control message is sent by the ZigBee module joined...
Two-dimensional principal component analysis technique is an important and well-developed area of image recognition and to date this method has been put forward. A new face recognition method two-dimensional principal component analysis (2DPCA) based on BP neural networks, named 2DPCA-BP method, was proposed. 2DPCA was used to obtain a family of projected feature vectors, in which face image was projected...
Full scope simulator was adopted to teach simulation practice of power plant operation in North China Electric Power University. It solves the contradiction between the safety of power plant operation and teaching practice. College students can startup, shut down the devices, adjust running parameters and treat malfunction on simulator. Compared with practice in real power plant, the teaching effect...
Patent classification is a large-scale, hierarchical, imbalanced, multi-label problem. The number of samples in a real-world patent classification typically exceeds one million, and this number increases every year. An effective patent classifier must be able to deal with this situation. This paper discusses the use of min-max modular support vector machine (M3-SVM) to deal with large-scale patent...
ldquoEnergy-faultrdquo method is introduced for faults warning of ventilators, which is based on wavelet package analysis and BP neural network. Character vectors which reflect different faults state of ventilators are extracted from different frequency segments with the technology of wavelet package analysis, and taking them into BP neural network model which is trained with character vectors of...
Nozzle plays very important role to control the gas flow during the interruption for SF6 circuit breaker (CB). Due to the higher non-linear global mapping relationship between interruption performance of SF6 CB and its nozzle structural parameters, artificial neural network (ANN) and genetic algorithm (GA) were applied to the nozzle parameter optimization of SF6 CB on the basis of the non-linear mapping...
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.