Efficient obstacle-avoidance path planning is critical for orchards with numerous irregular obstacles. This paper presents a continuous bidirectional Quick-RRT* (CBQ-RRT*) algorithm based on the RRT (Bi-RRT) and algorithms proposes an expansion cost function that evaluates smoothness length to overcome limitations of non-holonomic mobile robot applications. To improve zigzag between dual trees caused by dual-tree Bi-RRT algorithm, CBQ-RRT* CreateConnectNode optimization method, which...

Functional redundancy optimization is one of the most effective ways to improve robotic posture and performance. However, owing trade-off between smoothness robot's motion other important aspects performance, problem too nonlinear be solved in milling processes. In this article, a derivation shown that will approximately smooth when functional redundancies for each cutter location are smoothing variables. On basis, Legendre surrogate model constructed plan overall optimal by remarkably...

Abstract Tracking and associating different views of the same target across moving cameras is challenging as its appearance, pose scale may vary greatly. Moreover, with multiple targets a management module needed for new entering old exiting field view each camera. To address these challenges, we propose DMMA, Distributed Multi-camera Multi-target Association real-time tracking that employs coupled local data-structure containing information on targets. The shares appearance label known...

This paper presents an efficient and a novel implementation of combined multiple shooting collocation (CMSC) algorithm for the solution nonlinear optimal control problems.The implemented is modification approach proposed in [17,18].The new done under JModelica.orgframework along with CasADi Ipopt.The framework uses symbolic pre-calculation functions derivatives.Besides integration various components JModelica.org,Ipopt, CasADi, facilitates simpler modeling problems choice options linear...

The response surface method is always used in optimization problems such as the of vehicle suspensions because its efficiency. A sparse (SRS) proposed to represent a double wishbone suspension model constructed from few non-adaptive sampling points. One set points can be applied all surfaces. In this problem, four variations front wheel positioning parameters are considered objectives, and design variables. Four SRS models with variables 60 interior point employed optimize problem. results...

Color image segmentation is very important in the field of processing as it commonly used for semantic recognition, searching, video surveillance or other applications. Although clustering algorithms have been successfully applied segmentation, conventional such K-means are not sufficiently robust to illumination changes, which common real-world environments. Motivated by observation that RGB value distributions same color under different illuminations located an identical hyperline, we...

We propose a new iterative greedy algorithm to reconstruct sparse signals in Compressed Sensing. The algorithm, called Conjugate Gradient Hard Thresholding Pursuit (CGHTP), is simple combination of (HTP) and Iterative (CGIHT). conjugate gradient method with fast asymptotic convergence rate integrated into the HTP scheme that only uses line search, which accelerates process. Moreover, an adaptive step size selection strategy, constantly shrinks until criterion met, ensures has stable without...

The research of text similarity, especially for rumor texts, which constructed the calculation model by known rumors and calculated its similarity. From which, people can recognize in advance, improve their vigilance to effectively block control dissemination. Based on Bayesian network, similarity microblog texts was built. At same time, taking into account not only have similar characters, but also producers therefore makers constructed. Then, between user integrated, established. Finally,...

Color histogram-based trackers have obtained excellent performance against many challenging situations. However, since the appearance of color is sensitive to illumination, they tend achieve lower accuracy when illumination severely variant throughout a sequence. To overcome this limitation, we propose novel hyperline clustering based discriminant model, an invariant model that able distinguish object from its surrounding background. Furthermore, exploit and anchor scale estimation cope with...

With the wide application of mobile social networks, rumor spreading is more explosive, quickly, and has a bad impact. Therefore, exploring law always been hot topic current research. Inspired by explosion process explosives, this paper constructs an model network spreading. Firstly, analogy explosives establish theoretical basis model. Secondly, UBEN propagation based on explosive principle constructed. By establishing average field equation, impact threshold studied, influence factors...

Text style transfer is a hot issue in recent natural language processing,which mainly studies the text to adapt different specific situations, audiences and purposes by making some changes. The of usually includes many aspects such as morphology, grammar, emotion, complexity, fluency, tense, tone so on. In traditional model, generally relied on experts knowledge hand-designed rules, but with application deep learning field processing, method based Started be heavily researched. years,...

Abstract In order to improve the performance of BFO (bacterial foraging optimization) algorithm in multi-modal problems, is optimized and improved this paper. chemotaxis operation, gradient accumulation variable swimming step size realized, convergence speed accelerated. reproduction a new population competition mechanism added, double-index sorting which improves ability jump out local optimum diversity population. migration vitality index bacteria added dynamically affect probability,...

With the composition and control of modern electromechanical products more complex, time solving simulation model is longer longer. The response surface optimization method an effective to reduce time, however, number design sampling points approximation still large. In this paper, we propose a sparse representation accurately reconstruct source with small amount points. By means on specific basis, most coefficients are zero which can be solved by equations constructed from sampling. Sparse...

In the experiment of inertial confinement fusion, soft X-ray spectrum unfolding can provide important information to optimize design laser and target. As beams increase, there are limited locations for installing detection channels obtain measurements, be difficult recover. this paper, a novel recovery method based on compressive sensing is proposed, in which (1) formulated as problem accurate signal from very few measurements (i.e., sensing), (2) proper basis atoms selected adaptively over...

The lip behavior detection is work foundation by utilizing video control software behavior, which including the positioning, feature extraction and recognition. It proposed that we utilize LBP operator to conduct in this article, adopt SVM classification recognition of behavior. Experimental results show algorithm can effectively achieve identification meet real-time robustness processing.