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Prediction markets have substantially grown during the last years. In particular, sports forecasting is an important field of application. In this paper we present a new forecasting system oriented to sports. This proposal is a multi-agent system conformed by several intelligent and independent agents. The agents perform different complementary tasks. This heterogeneous approach provides a powerful...
The control and planning of wildfires is a challenging research task. The deep impact caused by the wildfire in natural ecosystems, such as woodlands and forests, makes essential the development of new methodologies and techniques to mitigate the wildfire expansion. In this paper we propose a framework for aiding to determine the best plan to attack dynamic wildfires composed of several seats of fire...
The safety and stability of mine operation is of great importance to the mining production and environmental protection. Effective safety management and risk control of mine is a critical part in prevention and control of major industrial accidents in mine enterprise. Techniques of hazard identification and risk analysis for mine are proposed. System design principles and main procedure of potential...
With the rapid development of Internet technologies such as cloud computing and big data, the scales of distributed information systems in big companies have grown to enormous sizes. Automatic detection and diagnosis of system faults in the large-scale information systems is complicated and important in both practice and research. In this paper, we propose a Graph-based Fault Diagnosis approach in...
Nowadays, expansion of social media and internet are driving to a whole another level. Most of the users critically review anything on the internet specially foods and services in restaurants to showcase their humble opinion. These opinions are very valuable in decision making process. Analyzing and extracting the actual opinion throughout these reviews manually is practically difficult since there...
In this paper, we propose a novel algorithm for intelligent drawing based on context awareness in dynamic geometry system. First, the algorithm collects the context information of geometric graph. Second, during the user is drawing, if the user's current operations and context information meet a matching condition, the algorithm will recommend the next graph to be drawn. With this algorithm, users...
With the development of information technologies, a great amount of semantic data is being generated on the web. Consequently, finding efficient ways of accessing this data becomes more and more important. Question answering is a good compromise between intuitiveness and expressivity, which has attracted the attention of researchers from different communities. In this paper, we propose an intelligent...
A large number of aviation equipment maintenance data exhibit seasonal behavior, such as aircraft failure rate. Consequently, seasonal forecasting problems are of considerable importance in aviation maintenance support. Aircraft failure rate is an important parameter of aviation equipment RMS (Reliability-Maintainability-Supportability). It is indispensable to scientifically predict the aircraft failure...
In order to overcome the shortcomings of single function, low efficiency of management, and the poor level of automation for traditional lighting control system, this paper designs and implements a kind of intelligent guestroom lighting control system, which is used to manage manual control and automatic control of housekeeping light. The system adopts the multilayer distributed structure, which combines...
This paper focuse on the design and implementation of speed-current double closed loop for permanent magnet brushless DC motor(BLDC). In analyzing the characteristics of the fuzzy controller, The new form of whole fuzzy controllers are proposed. Speed loop worked with a fuzzy adaptive PID controller is the main loop of the system. As the current loop is inner loop which is a servo system, The fuzzy...
Aimed at the high requirements of real-time in barrage video system, a barrage distribution strategy based on the earliest deadline first algorithm is proposed in this paper, which distributes all the barrages in the system to balance the best of the barrage completion rate and the completion rate of important barrages. The system will assign dynamic priority level to each new arrival barrage, and...
The economic and efficient scheduling of electrical generators is a complex optimization problem. The problem becomes even more complex when the uncertain solar sources are considered. Over the last decade, different scenario-based solution approaches have been developed for this problem in which the uncertain solar productions are represented as random scenarios. Although this approach is beneficial...
This paper researches and analyzes the current situation of the application of mobile medical services in chronic disease monitoring and management. With chronic diseases and mobile medical development trend in China, we propose a monitoring and management system for the physical sign of elderly patients with chronic diseases. By using the system, patient can monitor and upload the physical sign data,...
Aiming at the problem of optimizing the structural of X-band standing wave accelerator with multi-parameter, a method for automatic cavities structure optimized and based on genetic algorithm was proposed in this paper. In this method accelerated structure model was built with multi-parameter, using MATLAB and electromagnetic stimulation software CST to work together to optimize multi-parameter structure,...
In this study a powerful optimization algorithm is used for optimal tuning of linear quadratic regulator (LQR) based PSS in order to stabilize a synchronous machine which is connected to an infinite bus. Jaya algorithm is a newly proposed AI optimization algorithm inspired from TLBO. The robustness of optimized controller by the Jaya algorithm has been compared regarding to commonly used types of...
With the progress of radar technology, the development of radar tends to intellectualization, and the combat effectiveness of radar confrontation method for conventional radar is decreasing. So it is urgent to study the intelligent radar confrontation (IRC) method. Based on this, this paper expounds the intelligent radar confrontation method, and compares the difference between traditional radar confrontation...
Aiming at complex series product, the middle-structure modeling method based on features is put forward and the parametric design method is studied to realize the quick design and provide the digital model for latter simulation and manufacturing. Taking the 2K-V reducer as an example, the middle-structure model of the product is created, which can be transformed into the instance product through the...
The main challenge of previous saliency detection method is the low quality of obtained saliency map which missed the edge and texture information easily. So it cannot reflect the integrated image salient information. Considering this problem, we propose a novel saliency measure method which combine region contrast and fast guided filter. This method utilizes region contrast method to obtain initial...
The paper proposes a method for grouping fragments of contours of objects in the images of microscopic parasitological examinations, characterized by high transparency of analyzed objects. The method is based on a graphical representation of the edges in vector form, allowing to substantially reduce the required calculations. The method uses simple vector operations to determine stroke parameters...
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