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In order to improve the quality of service (QOS) in network transmission, a fuzzy logic active algorithm based on innovative Smith controller is proposed in this paper. This algorithm adopts an improved fuzzy self-tuning principle to make the length of routing queue near to the reference value at a relatively stable level by adjusting the packet loss probability on TCP protocol and changing the active...
Semiconductor quantum dot (QD) structures are considered as promising building block for spintronic applications with the advantage of prolonged spin relaxation time owing to 0D character of confined carriers or excitons. However, feasible application is haunted by severe spin injection loss from its adjacent barrier layers and its mechanism is still not fully understood. Here, we show that exciton...
Protein identification is the most important and basic problem for proteomics. Using tandem mass spectrometry and database search is one of the most widely used identification techniques. However, the improved sensitivity of mass spectrometers, rapid expansion of databases and more complex analysis, like post-translational modification and non-specific enzymatic digestion, have challenged current...
The autonomous navigation of mobile robot is the focus on robot research. In the autonomous navigation, the robot senses the environment and their own state by sensors and realizes autonomous movement in obstacle environment. Map building and localization are two key techniques of mobile robot navigation. The map building with line feature is an effective way. There are many researches with respect...
Robots have more and more applications in various fields. The path planning and the path recognition, as important factors in robot intelligence, have important value in theory and practice. The advantages of obstacle avoidance algorithm based on traditional artificial potential field are low computational complexity, good real-time characteristics and smooth path of obstacle avoidance. Yet, the disadvantages...
Cognitive Radio (CR) technology provides a new and promising solution to improve the spectrum utilization. Due to the dynamic and diversity characteristics of channels in Cognitive Radio Networks (CRNs), channel assignment and routing paths selection are critical issues for the functionality and performance of CRNs. In this paper, the routing metric of Minimum cumulative Interference and channel Switching...
Cognitive radio (CR) is an intelligent wireless communication system and the core of it is the cognitive engine. Cognitive engine is expected to implement cognitive learning, inference, decision-making through the artificial intelligence technology to decide a specific radio configuration (i.e. carrier frequency, modulation type, power, etc.) according to the changing of environment. In this paper,...
Intelligence is the core function of cognitive radio (CR). Intelligence is achieved by learning engine through knowledge acquisition. In this paper, a kind of learning engine is designed based on support vector machine (SVM). The proposed approach is demonstrated by data come from 802.11a protocol platform that the classification and regression results of SVM are very promising which ensure the effectiveness...
Resources optimization of cross-layer is a typical multi-objective optimization problem. In this paper, an adaptive clone and neighbor selection algorithm is proposed to resolve optimization resources allocation in cognitive radio networks (CRNs). The algorithm uses the adaptive cloning operator, neighborhood search operator to improve the performance of algorithm. Simulation comparisons for typical...
Resource optimization is a very important aspect in cognitive radio network (CRN). It is a typical multi-objective optimization problem. This paper proposes a mixed multi-objective immune cloning genetic algorithm (MMGA) to solve the optimization of resource allocation in CRNs. Based on the genetic algorithm of non-domination sort, the MMGA adds external memory immune operator and cloning operator...
Cognitive radio technology is proposed to solve the problem of the scarce radio spectrum resources. In view of the spectrum allocation in cognitive radio technology, this paper first analyses the three allocation rules based on graph coloring theory which include the sum reward rules, the max-min reward rules and the proportional-fair reward rules. The simulations of the three algorithms adopt the...
To solve the problem of monocular-vision-oriented landmark recognition for mobile intelligent robot marching with complex background, a kind of landmark extraction algorithm which fused with transcendental color information and based on tabu-genetic search algorithm is proposed, and the convergence analysis of this algorithm is presented. Firstly, a novel experiment threshold based on RGB vision model...
Robot self-localization is one of the key problems to improve robot autonomous ability. In order to increase the localization precision of mobile robot, a self-localization algorithm based on odometry, single vision and laser radar is proposed. First, odometry estimated robotpsilas pose at every sampling time. At the same time, the angles between any two of the landmarks were measured by means of...
This paper introduces a design for mobile node of sensor networks using robot. The robot is composed of micro processor module based on AT91RM9200, Bluetooth module, wireless network card (SISCO AIR-PCM350), GPS module, mobile base and motionless Bluetooth sensor node distributing module. Embedded arm-linux OS installed on micro processor module based on AT91RM9200 makes it have the ability of processing...
Soil moisture forecast is the forecast of increment and depletion of field soil moisture based on oil water simulation models. It is the basis for irrigation forecasting and is important for the rational regulation of field water. This paper summarized the latest research and the main achievements on soil water monitor and irrigation forecast in China and abroad. The main method and principle were...
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