A novel machine learning method named extended support vector data description with negative examples (ESVDD-neg) is developed to classify the fast Fourier transform-magnitude feature of complex high-resolution range profile (HRRP), motivated by problem radar automatic target recognition. The proposed not only inherits close non-linear boundary advantage model but also incorporates a new paradigm using privileged information into model. It leads appealing application no assumptions regarding...

Currently, studies on the system-of-systems (SoS) capability evaluation index system generation mechanism are scant, and indicators mostly determined by merely qualitative expert experience. This paper tries to explore a quantitative method for constructing search rescue (SARSoS) based SoS network architecture analysis, considering impact from activity, organization, equipment, project, technology, their relationships constraint generation. The four-layers weighted supernetwork model of...

Terrorism is a common threat to mankind, and fighting terrorism the responsibility of every country. Aiming at suspects prediction terrorist attacks, five methods based on machine learning are used sort recorded data attacks quantitatively. Based Logical Regression, Decision Tree, Gaussian Bayesian Network, AdaBoost Random Forest fitting model, recorded, Global Database(GTD), in 2015 2016 were as experimental data. The most likely for each attack possibility these which may be launched by...

A novel machine learning method named multiclass multiple kernel based on support vector data description with negative (MMKL-NSVDD) is developed to classify the FFT-magnitude feature of complex high-resolution range profile (HRRP), motivated by problem radar automatic target recognition (RATR). The proposed not only inherits close nonlinear boundary advantage SVDD-neg model, which applied no assumptions regarding distribution and prior information, but also incorporates into mode, avoiding...

Maritime search and rescue is the last line of defense to ensure safety life property at sea. To solve problem cooperative planning regional coverage task for multiple equipment in actual process. Firstly, we propose a weighted region model mapped by Monte Carlo drift prediction model. And then use three reinforcement learning algorithms (Q-learning, Sarsa, Sarsa (lambda)) comparative experiments. Finally, are evaluated per repetition rate, experimental results show that rate higher lower....

The sum-difference mainlobe canceller (MLC) can suppress jamming (MLJ) while maintaining an undistorted monopulse ratio for unbiased angle estimation. impact of amplitude-phase error on the suppression performance is one key problems MLC implementation in practice. In this article, quantitative analysis technique presence thoroughly studied. By establishing model a four-channel at subarray level, concept angular resolution proposed, and estimation accuracy analyzed.Compared with...

Driven by Industry 4.0 and Made in China 2025, mobile robots have ushered rapid development. In this paper, a mechanical structure design scheme of heavy-duty robot is proposed, including the drive scheme, etc. Based on designed robot, finite element model established, stress distribution deformation under full-load condition are obtained through static characterization model, finally road experiment carried out for experimental results show that operates well various working conditions...

The auxiliary array is the key to improving interference suppression performance in vehicular communication, especially for various operating frequencies of radio communication and unknown directions interference. In this paper, effects parameters on are analyzed, maximum acceptable area model proposed. After deriving simplifying analytical solutions weights signal plus noise ratio (SINR) after suppression, efficient rule inherits requirements radio, significantly reducing computational...

Abstract In the anti‐interference of broadband communication radio, interference cancellation performance is seriously affected by uncertainty working frequency selection system and direction hostile interference. The closed‐form solution weight value signal‐to‐interference noise ratio after are derived simplified to clarify factors affecting quality. Then, efficient blind area criterion established for low computational complexity in view quality, which combines radio index demand index....

In order to increase the heavy-duty AGV load capacity 60t, this paper proposes a design scheme of frame structure based on working demand workshop; designed structure, finite element model is established, and static simulation carried out get stress distribution deformation under full-loaded condition. Through dynamic performance analysis frame, 7th 12th modal frequencies vibration pattern diagrams are obtained, results show that good, each greater than road excitation, no resonance damage...

Generating and editing dynamic 3D head avatars are crucial tasks in virtual reality film production. However, existing methods often suffer from facial distortions, inaccurate movements, limited fine-grained capabilities. To address these challenges, we present DynamicAvatars, a model that generates photorealistic, moving video clips parameters associated with positions expressions. Our approach enables precise through novel prompt-based model, which integrates user-provided prompts guiding...

In this paper, a novel classifier for classification problems, based on increment support vector data description, is proposed. The proposed method the expand version of description by bring in two classes sample. Because addition kinds This can reflect target sample distribution state more complete super ball space. results approach artificial show that increase Classification accuracy.

A novel machine learning method named adaptive pruning support vector data description (APSVDD) is developed to classify the FFT-magnitude feature of complex high-resolution range profile (HRRP), motivated by problem radar automatic target recognition (RATR). The APSVDD not only inherits advantage least square (LSSVM) model, which owns low computational complexity with linear equality constraints so that it convenient prune boundary SVDD dynamically and rapidly, but also overcomes...

With the proposal of "Made in China 2025", China's robot research and development technology has been developed by leaps bounds, mobile robots have received wide attention. In this paper, firstly, a drive form heavy-duty material handling robot, i.e., four-drive steering structure (4DSW), is proposed. Secondly, kinematic model derived. Finally, simulation analyzed based on Adams software to verify accuracy model. The results show that motion error less than 30mm, kinematics performance good...