Papers by Keyword: Self-Learning

Abstract: Accurately grasping the distribution of different rocks can achieve the minimum explosive consumption and meet with the requirements of blasting quality; Not only reduces the cost of blasting, but also improves the safety and controllability of blasting. By utilizing the physical reactions to different rocks in the rigs process, the manual assisted learning process of the rig and the two stages of automatic drilling are proposed; After the automatic drilling, the lithology distribution of the borehole can be obtained in real time. The automatic drilling is the key to achieving fine blasting. Combined with the research of specific rigs and data processing methods. A KNN recognition model is established to construct the relationship between various indicators and lithology under certain confidence conditions, and this method can achieve automatic real-time adjustment and control of drilling parameters.

Abstract: In this article we want to introduce our first tested concept of a learning mechanism for smart homes. It is a number of interrelated algorithms that search the database of events in the home automation system. By searching, mechanism selects those events that at the time repeated several times under well-defined rules. Finally creates a database of basic rules, some basic knowledge database of activities. These can then serve as the management rules or may be further examined for activity recognition.

Abstract: With the rapid development of information technology, learning online has become another way for learners to acquire knowledge. Network can provide learners with learning opportunity anytime and anywhere, which arouse learners' interest in learning, improve learning effect, and is also an important means of constructing a learning society in China. This paper introduces the requirements analysis of the system and function. This paper first carry out a self-help web-based English learning system requirement analysis and feasibility analysis by combining with the software requirements analysis and system requirement of relevant theoretical knowledge; and then conceive of self-service learning system the main function of the structure completed by combining with the requirement analysis and feasibility analysis of this system.

Abstract: Rough cutting section and excess error will cause more waste and increase cost. This paper studies pattern recognition and image processing, proposes a method to implement limited length and limited weight cutting with pattern recognition and image processing technique. The experiment results show that the system is satisfactory in operation, maintenance, cutting precision, processes levels and rates of finished products. Collecting work field’s data with cameras from long-distance, this method will not only reduce the possibility for people to work in the bad circumstance, but also operate more expediently and more reliably, making the equipment and the worker safer. Strong anti-jamming can recognize the steel well and truly with these techniques. It can reduce the length error from 80mm to 10~15mm, so it can reduce product cost, and increase success rate of the finished product.

Abstract: Some multimedia teaching software based on the content analysis of already existing problem in the design process to understand the current situation of multimedia teaching software design university. A deep understanding of the knowledge classification learning theory is proposed on the basis of the knowledge classification learning theory as the guiding theory of software design can change the status. And put forward the knowledge classification learning specific design methodology under the guidance of the declarative and procedural knowledge of autonomous learning and multimedia teaching software. Finally based on the above specific strategies to achieve the design these kinds of knowledge learning multimedia teaching software.

Abstract: Along with the new-time society to change the talent demand and teaching the concept of change, the teaching method to students as the main line of imperative, it is to train the students' ability of learning and autonomous learning based on. Based on the introduction of a variety of teaching methods, emphasis on independent learning and learning to promote effective in database design courses.

Abstract: Retracted paper: In recent years, much research has been devoted to the visualization of 802.11 mesh networks; on the other hand, few have explored the evaluation of Smalltalk. after years of theoretical research into link-level acknowledgements, we demonstrate the understanding of Moore's Law. In this work, we show that even though DNS and DHCP are continuously incompatible, IPv6 and 2 bit architectures are never incompatible.

Abstract: We consider the problem of automatic generation of visual recognition modules. In particular, we consider a self-learning algorithm for visual recognition and system of automatic generation that based on some biological observations.

Abstract: In this paper, we propose a system of scenarios creation for self-learning of intelligent mobile robots. This model is based on the model of Hamiltonian path with fixed number of color repetitions for c-arc-colored digraphs. We show that the problem of Hamiltonian path with fixed number of color repetitions for c-arc-colored digraphs is NP-complete. We consider an approach to solve the problem. This approach is based on an explicit reduction from the problem to the satisfiability problem.

Abstract: The catalytic cracking unit of oil refining industry, is a complex process characterized by its prolonged time delay and strong coupling ability.This system adopts the method of modern control theory, artificial intelligence combined effectively production techniques, researchs the problem of the multistep self-learning experience forecast online by computers and its applications in oil refinery. The system guides and optimizes the operations of the production process based on its memory, comparisons and analysis. The system is very effective to increase yield; It has been applied and popularized in 20 large-scale or middle-scale oil refining corporations.