The behavior patterns and strategies of Internet Water Army in online forums are investigated in this paper. Internet Water Army focuses on the controlling and steering of cyber collective opinions, and adjusts their ...
The behavior patterns and strategies of Internet Water Army in online forums are investigated in this paper. Internet Water Army focuses on the controlling and steering of cyber collective opinions, and adjusts their behavior according to two principles: to avoid being exposed and to increase the ability to exert influence. To study how the ability of Internet Water Army to exert influence, we construct a multi-agent system with coevolution of topics and cyber collective behaviors and design the behavior patterns and strategies of Internet Water Army. Based on synthetic data and real data, we find that Internet Water Army dynamically adjusts their behavior strategy to maximize their influence and the effectiveness of strategy of Internet Water Army is closely related to the features of the users. Our work sheds insight on the design of viral marketing mechanism in e-commerce systems as well as on guiding collective behaviors in social media.
The rapid penetration of intelligent transportation systems（ITS） into the conventional transportation infrastructure urgently calls for high spectral efficiency high reliability communication technology for vehicle-...
The rapid penetration of intelligent transportation systems（ITS） into the conventional transportation infrastructure urgently calls for high spectral efficiency high reliability communication technology for vehicle-to-vehicle and vehicle-to-infrastructure（V2X） *** orthogonal frequency division multiplexing（OFDM） is widely considered as a promising candidate for such applications,in this paper we propose a novel variation of OFDM for improved spectral efficiency as well as enhanced reliability in V2 X channels with correlated frequency-selective fading and inevitable Doppler *** proposed scheme is built upon a recently emerging technique termed as index modulated（IM-）***,different from the existing localized subcarrier grouping,we propose interleaved subcarrier *** then carry out analytical and simulated comparisons to demonstrate the merits of this new scheme in terms of both the bit error rate（BER）performance and the maximum achievable rate（MAR） of the overall system,in V2 X channels.
A bi-branchiate robot is presented for the inspection of the high-voltage power transmission lines. With a symmetrical mechanical structure, the robot can roll along the power lines and negotiating all the obstacles i...
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In this paper, the adaptive dynamic programming (ADP) approach is employed for designing an optimal controller of unknown discrete-time nonlinear systems with control constraints. A neural network is constructed for i...
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This paper develops an adaptive optimal control for the infinite-horizon cost of unknown nonaffine nonlinear continuous-time systems with control constraints. A recurrent neural network (NN) is constructed to identify...
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In this paper, a new self-learning method using policy iterative adaptive dynamic programming (ADP) is developed to obtain the optimal control scheme of discrete-time nonlinear systems. The iterative ADP algorithm per...
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In this paper, an H ∞ optimal tracking control scheme based on generalized Hamilton-Jacobi-Isaacs (GHJI) equation is developed for discrete-time (DT) affine nonlinear systems. First, via system transformation, the op...
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This paper designs a drive system for a two-wheel differential tracked mobile robot. The system has two control modes: remote control and autonomous control, which needs two drive modes. We use a selection signal sent...
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ISBN:
(纸本)9783037857519
This paper designs a drive system for a two-wheel differential tracked mobile robot. The system has two control modes: remote control and autonomous control, which needs two drive modes. We use a selection signal sent by the remote controller to realize the switch of two drive modes. Traditional MCU or ARM based PWM control system has poor system accuracy and anti-interference, and is complicated to realize the switch of two drive modes. In response to these issues, this paper presents a control method based on ARM and FPGA. FPGA completes motor drive, motor rotation speed calculation and the switch of two drive modes. ARM is used as an upper controller in the autonomous mode. Experiment proves that the result of our method is achieved quite satisfactorily: PWM signal can be generated accurately and the switch of the drive modes is convenient. The drive system has high reliability and flexibility.
The boom of Flickr, a photo-sharing social tagging system, leads to a dramatical increasing of online social interactions. For example, it offers millions of groups for users to join in order to share photos and keep ...
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In complex urban traffic conditions, occlusion between vehicles is a common problem which is challenging to current vehicle detection methods. In this paper, we have proposed a vehicle detection method based on a part...
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ISBN:
(纸本)9781479903801
In complex urban traffic conditions, occlusion between vehicles is a common problem which is challenging to current vehicle detection methods. In this paper, we have proposed a vehicle detection method based on a part-based model which can deal with the occlusion problem. Our method includes two steps: constructing the part-based model and detecting vehicles from traffic images. In the first step, a vehicle is divided into two parts representing an easily-occluded region around license plate and a commonly-visible region around vehicle window. Each part has low intra-class difference and is modeled by hybrid image template (HIT) with multiple types of feature descriptors in this paper. These two parts constitute our part-based model which is beneficial to vehicle detection with occlusion because the occlusion of one part has no impact on the detection of the other part. In the second step, we detect vehicles from the input image. The detection process first identifies the part candidates by using template matching and then combines the part candidates for detecting vehicles. To test our method, we have done several experiments on complex urban traffic conditions with occlusions. The experimental results show that our method can effectively cope with partial occlusion. Moreover, our method can also adapt in slight vehicle deformation and different weather conditions.
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