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With the development of Big data, cloud storage and data mining, targeting advertising technology has aroused wide attention. So many companies have invested in the target mobile advertising market in this area. Targeting advertising can effectively save resources, reduce capital investment. Aiming at this problem, this paper proposed a new method for targeting advertising based on C4.5 algorithm...
In order to achieve object trajectory tracking without blind angle, we propose a pedestrian movement monitoring system with face recognition outdoor and RFID radio frequency equipment indoor, which connect people, object and events. While granting integrated human movement information, we also provide two-dimensional trajectory panoramic map browsing, preview video clips on designated area, video...
As the attacks on the website and domain names are increasing day by day it becomes very important for various verticals in the country to be secured against the deadly attacks which can hamper the operations of the web traffic in the country and its verticals. XSS is one such attack which is more frequently tried on the websites to gain information and data which is relevant to the attacker from...
Time Series Prediction is widely used in our daily life. We propose a forecasting method based on RBF neural network for time series prediction in this paper. This approach consists of two phases, training phase and working phase. During training phase, we integrate subtractive clustering method and k-means method to generate the centers of RBF neural network, which can cover the shortage of only...
In the condition of safety and stability, the primary control goal in pure electric vehicles braking process is to recover as much regenerative energy as possible. The brake-force distribution strategy in this paper is based on fuzzy control. The inputs are braking intensity and vehicle velocity, which are the determinants of the proportion coefficient of motor braking. The simulation of the fuzzy...
Image will be inevitably polluted by noise in the process of generation and transmission. The paper adopts the method of observing image of scale over a long distance to record the settlement of the building. The image of scale is constituted by straight lines. Based on this kind of particularity, the paper will introduce the principle of Contourlet transform and Curvelet transform; denoising image...
Because the output characteristics of photovoltaic (PV) array is nonlinear and output power changes as circumstances change, it is necessary to perform Maximum Power Point Tracking (MPPT) control in order to make the PV array working at Maximum Power Point (MPP). When the photovoltaic cells are in partial shade condition, the traditional MPPT method will fail. So this article uses the improved PSO...
At present, based on computer and information technology, intelligent diagnosis technology is in rapid development. In this paper, the application of artificial intelligence and learning techniques in intelligent fault diagnosis are demonstrated, such as Rule-Based Reasoning, Case-based Reasoning, Network neural, Fuzzy Logic, Genetic algorithm, Rough set theory, Bayesian network theory, Multi-agents,...
In this paper, genetic algorithm was used to solve the job shop scheduling problem with assembly constraints. The model of job shop scheduling problem with assembly constraints was built up by analyzing the characteristics of production process with the sequence constraints. Aiming at the special characteristics of the job in the processing and combining genetic algorithm theory, a feasible chromosome...
In this paper, a new model combining neural networks with genetic algorithm is proposed to solve the problem of waste water discharge optimization. Firstly we apply resilient backpropagation(RPROP) neural networks to water quality daily data prediction based on water quality and waste water discharge history data, then through genetic algorithm process concerning water quality influence and economic...
To make the traditional support vector data description (SVDD) achieve better generalization performance and more robust against noise, a selective ensemble method based on correntropy and Renyi entropy is proposed. In this proposed ensemble method, the correntropy between the radii of the basis classifiers and the radius of the ensemble is utilized to substitute the sum-squared-error (SSE) criterion...
Bird strikes present a huge risk for air vehicles, especially since traditional airport bird surveillance is mainly dependent on inefficient human observation. Recently, multiple groups have proposed bird monitoring using computer vision to detect birds, determine bird flying trajectories, and predict aircraft takeoff delays. However, the characteristics of bird flight using imagery which should be...
The Internet of Things (IoT) has been penetrated into many fields. It is composed of perception layer, transport layer and application layer. Perception layer consists of a variety of heterogeneous sensors. They are responsible for providing different data which monitor some aspects of some certain targets. We can obtain the detailed description of some targets by combining all aspects of data together...
Object detection usually needs large sample set for training. We proposed a virtual sample feature generating method for small sample set. Firstly, a generating model for the subcomponent of sample feature is built by using Gaussian distribution simulation. Secondly, the relationship between subcomponents is taken into consideration and modification of generating model is introduced, which can improve...
Insulin pump is a device for continuous subcutaneous infusion of insulin. Insulin pump is reliable, small, light, and is becoming more and more sophisticated. Insulin pump can control the blood glucose more steadily and reduce the complications mostly. In this paper, an intelligent insulin pump is designed. It can infuse the insulin precisely using a stepper motor. The device adopts Chinese-displaying...
Collaborative filtering recommendation is a popular recommendation algorithm in electronic commerce, but the disadvantage of cold start still exists in the reason of new coming users and items. CBR (case-based reasoning) is used to get source case in history according to the notation of target case, and the source case plays a guiding role in solving the problem of the target case. It is a useful...
this paper proposed a control strategy for STATCOM based on particle swarm algorithm (PSO) according to online adaptively adjusted the parameter of PI control loop. Reactive power optimal compensation of bus voltage can be realized under various disturbances. Electromagnetic transient simulation model of small scale power grid with STATCOM device has been built. Conventional double closed-loop control...
VSC-Multi-Terminal Direct Current (VSC-MTDC) system is much more controllable and economic. In this paper, at the beginning, the paper introduces the connection mode of VSC-MTDC system, then the design of VSC-MTDC system controller is studied, in which a new multi-point constant DC voltage control method is proposed, and the effectiveness of this control method is validated by the analysis of theory...
With the improvement of people's living standards, more attention is given to health status. This is a higher demand for our modern medical facilities. How to let the sign detection equipment out of intensive care unit (ICU), out of hospital, become accessible and can be used for real-time monitoring of the life necessities is a major topic currently. Based on this, the CSN808 module is used to design...
To enhance the robustness of the vehicle detection system, an effective algorithm to identify the lighting conditions (daylight, night, lowlight (dawn, dusk)) based on histogram analysis is presented in this paper. The algorithm consists of two procedures: extracting and updating background image, and generating a lighting conditions classifier based on background image analysis. The algorithm is...
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