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The measurement methods of liquid level are summarized. A cylindrical tube capacitive liquidometer consisting of two tubes is produced. Arithmetic relationship between the liquid level and the capacitance is derived. AD7746 is used to convert the capacitance signal into voltage signal. The voltage signal is then processed by PIC16F877 microcontroller and digitally displayed by the circuit of 1602...
As a comprehensive measure, the error spectrum will be widely used for estimation performance evaluation. However, it's hard to calculate without the error distribution. An approximate algorithm is proposed in this study to solve this problem. Then, how the approximate calculation can be used is illustrated by numerical examples. Finally, the correctness of the algorithm is validated by the simulation...
Affected by the path loss, Doppler frequency shift and the inter cell interferences and other factors, cell edge users were scheduled with less carriers, and had poor receiving effects. In order to improve the transmission capacity of cell edge users, we proposed a resource reserved Proportional Fair resource allocation algorithm with power allocation for the LTE-Advanced system. The users were grouped...
In this paper, we present an improved SIS propagation model based on social contact probability on social networks. On social networks, the contact probability between nodes is decided by their social active degree and their social distance; the contact probability of two directly connected nodes is usually less than 1; if two nodes are not directly connected, the contact probability of two nodes...
Targeting is the fundamental work in cyberspace operational plan. This paper investigates the basic tradeoffs and decision processes involved in cyber targeting and proposes a simple game theoretic model for cyberspace targeting to support operational plan. Then an optimal targeting strategy decision algorithm applying the game theoretic model is developed. The key component of this game theoretic...
In this work, we develop a minimum mean square error (MMSE) estimator for the underdetermined systems when the signal of interest is sparse. To address the uncertainty issue introduced in the measurement system, robust approaches are developed based on stochastic and worst case optimization techniques under the minimax framework. To solve the optimization problem, different constraints on the unknown...
A visually impaired person comes across objects with different attributes in his navigational path, and all of those objects can't be considered as obstacles. One person's obstacle could become a landmark for another. Therefore, getting some insights about the features of the obstacles that come across will provide a significant impact on improving the navigational process of the visually impaired...
The optimal filtering problem is addressed for multi-rate systems with one-step auto-correlated noises. The state is updated at the highest sampling rate and the sensor has a lower sampling rate. System noise and measurement noise are one-step auto-correlated, respectively. An optimal filter in the linear minimum variance sense is proposed via an innovation analysis approach. A simulation example...
The research with respect to Particle Swarm Optimization is concentrated in improving their performance on avoiding local maxima. Since standard Particle Swarm Optimization does not perform well in many cases, we propose double chaotic particle swarm optimization algorithm based on logistic map. This chaotic movement has good randomness and ergodic statistics property of chaos sequence. We propose...
For the multisensor linear stochastic descriptor system with same measurement matrix and correlated noises, the weighted measurement fusion information filter is presented, based on the weighted measurement fusion algorithm and the Kalman information filtering theory. This information filtering is a new repression of Kalman filtering based on information matrix, which can reduce computational burden...
Pedestrian detection and recognition has become the basic research in various social fields. Convolutional neural networks have excellent learning ability and can recognize various patterns with robustness to some extent distortions and transformations. Yet, they need much more intermediate hidden units and cannot learning from unlabeled samples. In this paper, we purpose a latent training model based...
New botnet and bots using P2P protocols have become the increasing threat to network security because P2P botnet and bots do not have a centralized point to trace back or shut down, thus detecting the P2P bots is very difficult. In order to deal with these threats, the model in terms of the dendritic cells algorithm (DCA) is presented to detect P2P bots on an individual host. The detailed approach...
Determination of the cutting force during metal machining process is of particular importance because of its controlling influence to cutting deformation, tool wear, tool life, as well as the quality of machined part. Numerous attempts have been made to approach this problem with different methods, such as analytical, empirical, numerical, hybrid models. But the complexity of cutting process makes...
Order tracking technique is an effective frequency analysis method, which uses multiples of the running speed as the frequency base (orders) and commonly used in rotating machinery vibration signal analysis. It is a dedicated non-stationary vibration processing technique to detect speed-related vibrations. Angular sampling theory based computed order tracking (COT) method is the most widely used method...
According to some reasons, such as multifarious, low efficiency status of scientific research management work by artificial way, furthermore, big workload and poor adaptability of requirement change exists in traditional software development method. In this paper, a typical model of scientific research project management process was build based on workflow technology. The business logic and specific...
This paper studies the optimal-fuel control problem of spacecraft rendezvous with collision avoidance constraint. A nonlinear spacecraft rendezvous model is established. Based on this model, an optimal control problem with state constraint is formulated. An exact penalty function method is used to transform the constrained optimal control problem into a sequence of approximate unconstrained optimization...
This paper presents the characteristics analysis of wind farm to the participation of power grid frequency regulation. Wind farm is built by equivalent modeling method, and contains full-converter wind turbine generators (WTG) with Wind Turbine of Direct-Drive Permanent Magnet Synchronous Generator (DDPMSG). At first, model and control strategy of WTG with PMSG is introduced. Then single-machine equivalent...
Coming of the Popular Science indicates the rapid development of information communication. It has brought great changes to our lives, but the subsequent problems of information security are bothering us. Looking for an efficient and safe way to protect the information security has become an important problem that needs to be solved urgently. In recent years, data encryption system based on chaotic...
This paper mainly considered the Satellite components sensor location method considering time delay of the system information transmission under diagnostic criteria. A method of transferring the dynamic signed directed graph (SDG) to the static SDG was proposed. After that, technique on sensor location was researched using the static SDG. Means of defining the root nodes that represented the diagnostic...
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