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.
This paper investigates the properties of the common self-polar triangle of separate coplanar circles and applies them to camera calibration. We find that any two separate circles have a unique common self-polar triangle. In particular, we show that one vertex of the common self-polar triangle lies on the line at infinity. Given three separate circles, the line at infinity can be recovered using the...
Multi-scale retinex is a luminance perceptual algorithm. It is widely used in image enhancement. To get best effect, the parameters need be adjusted according to the scene manually. In order to handle this issue, a novel retinex algorithm based on real-coded genetic algorithm and human visual system was proposed in this paper. The result was quantified and selected by a novel human visual system based...
Previous tunnel fire disasters have shown that serious damage could be caused. The first goal of tunnel fire safety is to guarantee the life safe of tunnel users. It is therefore important to pay much attention to the evacuation system of tunnels. The main purpose of this paper is to provide the approach and reasonable value of walk speed for evacuation assessment in tunnels with cross connections...
Multi-leaf collimator (MLC) provides an available approach to achieve sophisticated radiotherapy techniques and plays an important role in advanced high quality radiation therapy. Delivery accuracy of radiation therapy mainly depends on the leaf sequence generated by treatment plans and dynamic performance of MLCs. Previous studies have explored the influence of various leaf limited velocities and...
Recently, the rampant enlarging of networks scale have led to a growth in the number of mobile base stations. The research of mobile base stations is more meaningful under this circumstance. In the study of base station distribution, the distribution of base stations in many areas is subject to Poisson distribution. This paper takes three large cities in Britain as an example to explore whether their...
In this paper, we show that for a given pair of metrics, such as IGTE vs. IGFE, number of packets vs. number of network flows, etc., the functional relation between them may be complex and can not be described perfectly by linear equation. In order to capture this complex relationship, we make use of evidence function framework to automatically determine the optimal model for the metrics. Then we...
Target recognition is a fundamental research topic in the process of robot grasping. In this paper, we proposed an algorithm framework for object recognition based on local naive Bayes nearest neighbor with Kinect. With the emergence of local invariant feature detection, the method based on local invariant features gradually becomes the mainstream. Object recognition is realized through the feature...
Object tracking is always in the core status with the develop of robotics. In this paper, we proposed a novel tracking framework based on Spatio-Temporal Context tracking (STC) and Template-Matching algorithm(TM). STC tracking method is a fast and simplified tracking method that strongly dependent on the context region (the surrounding background of the target). Therefore, it cannot correct the tracking...
Autonomous robots in urban search and rescue (USAR) have to fulfill several tasks at the same time: localization, mapping, exploration, object recognition, etc. This paper describes the whole system and the underlying research of the NuBot rescue robot for participating RoboCup Rescue competition, especially in exploring the rescue environment autonomously. A novel path following strategy and a multi-sensor...
In this note, we deal with the stability and stabilization problems for nonlinear quadratic discrete-time periodic systems. By using the quadratic Lyapunov function, and a so called periodic invariant set, delay-independent sufficient conditions for local stability and local stabilization for nonlinear quadratic discrete-time periodic systems are derived in terms of linear matrix inequalities (LMIs)...
In this paper, an amplitude tunable two-tone digital phase shifter is designed, fabricated, and measured. This phase shifter has 16 channels and every channel is able to output arbitrary amplitude below 0 dBm and arbitrary phase among 360°. The two-tone output frequencies are 810 MHz and 4.5 GHz which are possibly used in 5G as phase changeable local oscillator (LO) frequency for up conversion to...
In this paper, we demonstrate nonlinear features extracted by deep neural network have better results in the task of dictionary learning. A nonlinear dictionary learning model is constructed and the optimization algorithm is developed. In the learning algorithm, we use the deep neural network to convey raw samples to feature space and learn a nonlinear dictionary. The extensive experimental results...
In this paper, we focus on the quality of experience (QoE) optimization for dynamic adaptive streaming over HTTP (DASH) services. First, we propose a QoE evaluation model based on playback continuity, segment media quality and perceptual quality fluctuations caused by bitrate switching. Plenty of subjective mean-opinion-score (MOS) tests have shown a good correlation between this model and subjective...
Operating system kernel-level tracers are popularly used in the post-development stage by black-box approaches. By inferring service request processing paths from kernel events, these approaches enabled system diagnosis and performance management that are application-logic aware. However, asynchronous communications and multi-threading behaviors make request path patterns dynamic on the kernel event...
In this paper, we describe the deep learning method to reduce the dimension of the data samples under the framework Non-negative Matrix Factorization (NMF). That is to say, we try to find the good representation of the data samples for the task of NMF. To this end, a nonlinear NMF optimization model is constructed and the optimization algorithm is developed. The experimental results on some benchmark...
Many-objective optimization has posed great challenges to existing evolutionary algorithms that are designed for solving two- or three-objective problems. Most of the algorithms do not scale well with the number of objectives due to the expansion of the objective space. In this paper, a hybrid evolutionary algorithm with dual populations (HEA-DP) is proposed to tackle many-objective problems. The...
3D model data has become an important part in the construction of Digital City database with its intuitive, objectivity and accuracy characteristics. In order to solve the accuracy and efficiency requirement of 3D model data acquisition, in the process of building digital city, Beijing take a variety of ways to achieve 3D model acquisition. Utilizing the traditional manual 3D modeling to achieve the...
The demand for comfort and performance in vehicles requires more accuracy in clutch control of automatic transmissions. For the widely spread automatic transmission the main influence are caused by the fluid temperature as well as with different operation pressures besides control algorithm. It requires adequate experience and proper understanding to interpret the pressure response results in the...
Electromagnetic signal of steel cord conveyor belt defect is easy to be disturbed by Strong non-stationary noise in coal mine, even some defect signal may be overwhelmed by noise. Therefore, the defect signal noise reduction method based on a combination of wavelet packet and RLS adaptive filtering was put forward. Firstly, defect signal was decomposed by wavelet packet and got multi layer high frequency...
Batch codes are of potential use in load balancing, private information retrieval and distributed storage. In this article, we present new bounds on the parameters of linear batch codes with restricted query size. The derivation techniques are partly based on ideas in the literature for codes with locality, combined with additional ideas.
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.