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.
Aiming at the characteristics of UAV high-speed permanent magnet motor, wide speed range, large current and parameter variation, an online efficiency optimal control method is proposed based on model reference adaptive (MRAS) algorithm. The MRAS-based approach can identify the machine parameters according to different operation conditions, optimizing the stator current constantly and improving the...
In this paper, the flexible DC power distribution technology was presented to solve serious problems in Shenzhen urban power distribution networks, such as power quality control, distributed power generation connecting the power grid, DC loads power supply and power-line capacity expansion. The advantages of flexible DC power distribution technology were analysed. The research structure of DC distribution...
In TCM theory, the syndrome is crucial to diagnose diseases and treat patients. In syndrome identification, the relation of symptoms usually correlates with syndrome and represents the pattern of syndrome at symptomatic level. Hence, we learn models for classifying syndromes in depression using 4 different algorithms, which are naive Bayes, Bayes network, SVM and C4.5. From the results of classification,...
In Scientific and Technological (S&T) papers, we first define Chinese S&T Named Entity (CSTNE) and Relation between Chinese S&T Named Entities (RCSTNE) that can offer help to solve the problem of deep knowledge mining in S&T literature database. Based on the definition of CSTNE and RCSTNE, we build their models which include semantic information. The relevant methods based on knowledge...
This paper describes a self-priming compartmentalization (SPC) microfluidic digital loop-mediated amplification (dLAMP) chip for performing single molecule detection, which is power-free, valve-free, isothermal, inexpensive, sensitive, economizing labor time and reagent.
Search engine is becoming more and more important in our life. Traditional search technologies, however, cannot provide the required information for the users. Future search engine must be intelligent and semantic. We develop a vertical search engine based on ontological semantic knowledge tree model. In this model, concept is regarded as the basic knowledge representation unit. And attribute, relation...
To give consideration to both human intuitive understanding and the information processing requirement of text sentiment, this paper describes a new formal computational model of Chinese text sentiment. The model includes two parts: formal presentation and formal computing. The former is based on seven-basic sentiment categories, namely “happy”, “anger”, “sadness”, “fear”, “love”, “hate” and “desire”,...
Battle Management Language emerges to enhance the interoperability among M&S system, C4I system and future robotic forces, by applying an unambiguous, communicable, comprehensive language and data-exchange mechanism to digitize the information transferred within military systems. Both SISO and NATO have noticed its importance and started their research partly cooperatively. Most researchers identify...
Queries to search engine on the Internet are usually short, and cannot provide enough information for effective retrievals. Researchers have developed query expansion to cope with the problem and proved its usefulness. But previous researches have mainly on the general search engine and do not give the semantic enough attention. In this paper, we introduced a novel algorithm especially for the vertical...
Automatic text classification is one of important fields in intelligent information process. Most researchers focus on statistic method (Rocchio, SVM, KNN etc.) which is based on vector space model (VSM) representing text. On the basis of analyzing their disadvantages, a new method -automatic text classification based on background knowledge is proposed in this paper. This method is to simulate the...
Named entity tagging is one of the key techniques in natural language processing tasks such as information extraction, answer question and so on. We present a method of Chinese NE tagging using hierarchical conditional random fields. This study is concentrated on person names, location names and organization names. We divide the process of Chinese NE tagging into three layers: person CRFs layer, location...
Named entity tagging is one of the key techniques in natural language processing tasks such as information extraction, answer question and so on. We present a method of Chinese NE tagging using hierarchical conditional random fields. This study is concentrated on person names, location names and organization names. We divide the process of Chinese NE tagging into three layers: person CRFs layer, location...
It is the core problem in building a fuzzy classification system to extract an optimal group of fuzzy classification rules from fuzzy data set. A new kind of algorithm is proposed for fuzzy rules' generating in this work. The idea behind the algorithm is mainly based on both, concepts of data mining and particle swarm optimization (PSO) algorithm. A fuzzy information entropy based measure which generalizes...
It is well known that ultrasonic sensor is widely used in mobile robot to get range information with low cost, and the main bottle problem of using ultrasonic sensors to build an occupancy grid map is how to deal with the uncertainty in ultrasonic sensor data. In this paper, a new kind of Multi-ultrasonic sensor fusion method is presented. The ultrasonic sensor model is built with fuzzy set theory...
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.