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.
Teaching process in college has the characteristics of Markov chain, and, evaluation of university teaching plays an important role in improving the management levels. By using the Markov chain, it selects four ranks of comprehensive evaluation results in different specialties to make an analysis in state shift; then, it carries on the specialized teaching gradual appraisal by means of transfer matrix's...
In order to investigate control method for indoor thermal comfort, the experimental environment of indoor thermal comfort is designed in this paper. Thermal comfort data are collected based on questionnaire means, ANN (artifical neural network) is trained using the data, and the ANN model trained can accurately forecast thermal comfort index. Relevant input parameters is conversely computed based...
Temperature is a very important parameter in industrial production. Based on Fuzzy PID controller structure and study algorithm, fuzzy PID controller can be used in actual industrial processes on Kingview movement platform by using PLC technology. The results show that PID parameters can be adjusted on line by control strategy configuration, and the effect meets the need in temperature control experiments.
To find effective estimations of tail dependence, we present the estimators of upper tail dependence coefficient by using survival copula. We research to two problems by using the samples from t-copula. Firstly, do the estimators estimate effectively the upper tail dependence coefficients of copula? Which is the best among the estimators? Secondly, if sample isn't from true distribution, do the estimators...
Temperature is a very important parameter in industrial production. Based on BP neural network PID controller structure and study algorithm, neural network PID controller can be used in actual industrial processes on Kingview movement platform by using PLC technology. The results show that PID parameters can be adjusted on line by control strategy configuration, and the effect meets the need in temperature...
In order to improve the recognition rate and practicability of the existing speech access control system, a method of HMM/ANN hybrid model was presented. By the analysis on the principle of speech recognition system, a speech access control system was designed by using DSP as the hardware platform. The working principle and the software design process of the system were described. In the training...
Hybrid system is a dynamic system that has discrete state transfer and continuous state variation. Recently, popular hybrid system model includes threshold-event-driven hybrid systems (TEDHS) and polyhedral invariant hybrid automaton (PIHA). Finite state machine is used to describe the discrete feature of hybrid system and reachable set of stream pipe is used to describe its continuity approximately...
Due to their adverse health effects and their abundance in urban areas, diesel exhaust particles (DEP) have been of great concern in the past years. An experiment was carried out on a direct injection, turbocharged diesel engine to investigate the number emission characteristics of particles. Furthermore, an artificial neural network (ANN) was used to establish an emission model of the diesel engine...
With the development of Internet, the efficient network management of heterogeneous network devices from different vendors becomes more and more difficult. The Network Configuration Protocol (NETCONF) is presented as a new solution. But it can't be widely used in current networks soon because most devices are based on Simple Network Management Protocol (SNMP) and Command Line Interface (CLI). Therefore...
This paper first analyzes two major methods that create the model of VR, proposes that fabric is suitable for virtual display. Then a fabric display system in virtual reality environments based on web is designed. The system uses 3DS MAX to achieve fusion of fabric's image and display scene's image. And then a VRML file (*.wrl format) is exported from 3DS MAX. The system adopts B/S structure, uses...
Under the competition pressure and driven by the technology development, the number of value-added services will increase very rapidly to improve the ARPU (average revenue per user) of the telecom industries. That makes the feature interaction (FI) problem more serious in the emerging telecom system. Besides, to make the creation of a feature easier, service design is open to the third party in a...
The preheat time of central air-conditioning system preheating space is not only affect the comfort of environment, but also affect energy consumption. A preheat time model is established based on the thermodynamics principle, and an optimum stat-up algorithm of central air-conditioning system is proposed based on the NN (neural network), the simulation result shows that this method can predict the...
Recent researches have highlighted the long-range dependence and impulsive nature of the aggregated network traffic, and consequently long-range dependent α-stable processes model has been widely used to capture the network traffic. This paper presents an analytical demonstration of aggregated network traffic converging to long-range dependent α-stable processes, which provides inherent mechanism...
How to preserve causal and totally ordered event delivery is an important issue in real-time serverless DVE(Distributed Virtual Environment). However, most of the related works are designed to maintain causal order merely or time stamped order with intensive computation and bandwidth overhead. In this paper, we proposed a novel distributed algorithm to maintain the before-and-after relationship between...
We consider the SINR variation generated by the change of spatial interference pattern in a cellular communication system, which is especially severe when using adaptive array for transmission. In this paper, we derive the distribution of SINR variation at the output of Interference Rejection Combining (IRC) and Maximum Ratio Combining (MRC) receivers, assuming equal-power interferers. The analysis...
Predicting university admission is a complex decision making process that is more than merely relying on test scores. It is known by researchers that students' backgrounds and other factors correlate to the performance of their tertiary education. This paper proposes a hybrid model of neural network and decision tree classifier that predicts the likelihood of which university a student may enter,...
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.