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.
As Unmanned Aerial Vehicle (UAV) having been applied in more complex and adverse environments, the requirements of automatic techniques for obstacle avoidance are becoming more and more important. Reinforcement learning (RL) is a well-known technique in the domain of Machine Learning (ML), which interacts with the environment and learning the knowledge without the requirement of massive priori training...
Total organic carbon (TOC) is a critical parameter for source rock characterization in shale gas reservoirs. In this work, the use of extreme learning machines (ELM) for predicting TOC from well logs data have been investigated. We use log data from two wells located in an unconventional shale gas reservoir in the Sichuan Basin, China. Seven wireline logs from this well and a total of 185 TOC observations...
For intelligent street lamp control system in the presence of complex construction, more power consumption and low intelligence, this paper designed an intelligent street lamp controller achieved by ZigBee network. It use the Doppler detector to obtain the speed of the vehicle and pedestrian, and thus control the lights switch. For the phenomenon of some street lamp appeared to be an isolated during...
By analyzing the characteristics of urban public transport network, according to the topological graph theory, it can be reasonably abstracted representation, and constructed a model of urban bus transport network. A∗ algorithm is used in the design of the bus transfer module. Based on .NET technology framework and MapXtreme map service platform, the design and development of Transport route inquiring...
Learner models are of great importance in the construction of intelligent tutoring systems. In this paper, after introducing intelligent tutoring systems and learner models, four kinds of classical learner models called Stereotypes Models, Overlay Models, Buggy Models and Constraint-Based Models and their properties are discussed in detail. Finally, we compare these four kinds of learner models in...
This paper proposes a method to obtain the semantic knowledge from an online encyclopedia called Hudong encyclopedia 2(hudong baike). We obtain concepts and then their semantic related concepts and compute the semantic relatedness by utilizing inner hyperlinks and the open category information in Hudong encyclopedia. By comparing our results with human judgments, we show that our relatedness computing...
This paper introduces the design of the lab intelligent remote monitoring system based on S3C2440 ARM microprocessor. Aiming at the issue that document storage brings many troubles to the embedded developments and the traditional databases can not be used in the embedded application development, it focuses on the embedded database storage with SQLite as the core and studies the feasibility in the...
Describe a software and hardware design solution of an embedded web-based remote monitoring system for the environment in the laboratories. Build an embedded web server to publish the data of sensor networks and video images to achieve remote monitoring which is based on B / S architecture. Managers can control the equipments in the lab through a web browser which is cross-platform. The embedded database...
The Lab Intelligent Monitoring System based on S3C2440 ARM microprocessor and embedded Linux has been designed to accomplish the remote monitoring of the parameters and video images of environment in the Laboratory. The embedded database SQLite manages the data collected by sensor networks. A system program based on Qt/Embedded and Linux drivers realizes the local management of environmental data...
This paper presents a novel and efficient algorithm for preventing the block wrongly matching in image inpainting. The proposed technique separates the inpainting process into two different and important steps. First, segment the pre-selected source area, which is called the source region, from the input image. This step can prevent the block wrongly matching effectively. Besides, the adjustment rule...
Expert finding, the task of identifying experts on a given topic, has received much attention in the last few years. Existing methods try to model the dependencies between the candidate experts and the query terms, which have been proven to be effective. However, to the best of our knowledge, no work has been done on studying the effectiveness of another kind of dependencies, namely the dependencies...
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.