The objective of visual servoing aims to control an object's motion with feedbacks and becomes popular recently. Problems complex modeling instability always exist in methods. Moreover, there are few research works on selection the gain image-based (IBVS) This paper proposes IBVS method Q-Learning, where learning rate is adjusted by a fuzzy system. Meanwhile, synthetic preprocess introduced perform feature extraction. extraction actually combination color-based recognition algorithm improved...

The coordination of muscles in human locomotion is commonly understood as the integration motor modules known muscle synergies. Recent research has delved into adaptation synergies during acquisition new skills. However, precise interplay between modulated movement according to motion requirements remains unclear. Here, we aim elucidate alterations locomotor across various lower-limb strategies and tasks. Our findings reveal consistent weights alongside varying timing activation aligned with...

Effective communication plays a crucial role in coordinating the actions of multiple agents. Within realm multi-agent reinforcement learning, agents have ability to share information with one another through channels, leading enhanced learning outcomes and successful goal attainment. Agents are limited by their observations ranges due increasingly complex location arrangements, making collaboration based on difficult. In this article, for some partially observable scenarios, we propose...

Nongxiangxing-daqu (NXDQ), as a saccharification and fermentation agent, directly affects the flavor yield of fresh Nongxiangxing Baijiu (NXBJ). The difference in temperature owing to artificial turning operation leads formation superior (S) normal (N) grades NXDQ. Here, aiming explore discriminant characteristics two NXDQ, we studied physicochemical properties, volatile compounds microbial communities using HS-SPME-GC/MS high-throughput sequencing technology. NXDQ presented different...

In triangular-lattice magnets, the coexistence of third-neighbor antiferromagnetic and nearest-neighbor ferromagnetic exchange interactions can induce rich magnetic phases including noncoplanar skyrmion crystals. Based on Monte Carlo simulation, we studied dependence phase transition interaction strength. Under consideration uniaxial anisotropy field both perpendicular to film plane, a large induces high frustration. When value is one half times larger than one, composed canting spin...

Wheat and daqu, as raw materials, play important roles in spontaneous solid-state fermentation of Chinese Baijiu. Functional microorganisms contribute to the flavour However, studies on relationship between wheat functional daqu are very limited. This study investigated components Nongxiangxing (NXDQ) from northern China. Staphylococcus, Thermoactinomyces, unclassified_o_Enterobacterales, Kosakonia, Thermoascus, Thermomyces, Saccharomycopsis Aspergillus were predominant biomarkers made...

Medium-temperature Daqu (MT-Daqu), a saccharification-fermentation agent and aroma-producing agent, is used to produce Chinese strong-flavor Baijiu. Many related studies have been published; however, less known about microbial community quality properties inside outside the MT-Daqu from fermentation storage. Here, along with determining physicochemical index, of was investigated using both culture-dependent culture-independent methods during 31 days 4 months Volatile compounds mature were...

Over the last couple of years, object detection and tracking reserachers have been developing many new techniques, which has used widely by others. In this article, we present an extensive overview methods. At same time, also introduces some related theoretical knowledge (e.g., feature classification). The reason why in summarized together, is because can be said to foundation tracking, they all need choose right features training effective classification. Due application fields emphasis may...

The objective of the autonomous navigation aims to achieve self-motion control for a robot with environmental feedbacks and becomes popular recently. Problems complex modeling, large amount calculation, lacking information always exist in methods. This article proposes self-navigation method fuzzy three-dimensional grid depicted by dual two-dimensional maps. Meanwhile, synthetic preprocess is presented perform localization through switching among weighted three-point method, two-point...

Recently, the dependence of exchange bias (EB) on ferromagnetic layer thickness (tFM) and temperature has become a matter controversy, triggering renewed research efforts to decipher key aspects these intriguing phenomena. To demonstrate anomalous dependences linked spin structures, modified Monte Carlo method is used models NiFe/antiferromagnet Fe/antiferromagnet bilayers where twisted configuration favored along film depth in during magnetization reversals. It found that EB field deviates...

To improve the intelligence and accuracy of Situation Assessment (SA) in complex scenes, this work develops an improved fuzzy deep neural network approach to situation assessment for multiple Unmanned Aerial Vehicle(UAV)s. Firstly, normalizes scene data based on time series use normalized as input network. Secondly, adaptive momentum Elastic SGD (Elastic Stochastic Gradient Descent) are introduced into training process network, learning performance. Lastly, real-time task UAVs, conventional...

Motion control, i.e. the path planning, in unknown environment of agent is a general interest for scholars and how to increase efficiency motion control most important point. For that, this paper puts forward method based on Dyna-Q algorithm. The steps with reinforcement learning algorithm designed efficiency, framework utilized. experiment results show proposed has more fast convergence suitable dynamic compared methods.

Designing communication channels for multiagent is a feasible method to conduct decentralized learning, especially in partially observable environments or large-scale systems. In this work, model with dual-level recurrence developed provide more efficient mechanism the reinforcement learning field. The communications are conducted by gated-attention-based recurrent network, which historical states taken into account and regarded as second-level recurrence. We separate messages from memories...

Visual servoing is a vision-based control method with mechanism of closed-loop, which uses feedback information extracted from the camera to motion robot. In this paper, we propose fuzzy-based visual integrated bagging for wheeled mobile robot (WMR). Previous studies have shown that value mixture parameter image Jacobian matrix affects performance image-based servoing(IBVS). However, constant in most methods. To address problem, adjust during process servoing. Meanwhile, order reduce effect...

The development of humanoid robots has great advantages[1] including economically efficient, appreciation-worthy, and etc. This paper proposes an omnidirectional gait generation mode based on linear centroid motion the cubic spline interpolation. And then, ZMP stability criterion, online feedback regulation is conducted robots' according to positional relationship ZMP. result simulation verifies that method can effectively implement a fast stable walk for robots.

Aiming at the problems in gait planning of biped robots, including complex model, low stability, etc., a novel fuzzy omni-directional algorithm (FOGPA) is proposed. At first, this method puts forward new separated which combines straight walking based on improved Hermite interpolation and rotation motion together. And then, parameter adjustment put to control parameters step size speed dynamically. last, results are used get data robot real-timely. The experiment show that FOGPA improves...

Omni-directional walking is an important part for biped robots.Whereas, the problems of complex model, low stability, flexibility, etc., existing in planning robots, attract interests many researchers.This paper proposes adaptive omni-directional method with fuzzy interpolation (OW-FI) applied to a fast-stable walking.A new separated consisting straight walking, based on improve Hermite interpolation, and rotation designed simplify model achieve good key frame data selection.The mapping...

Data classification is an important part in data mining field. However, problems of high amount calculation and low accuracy always existing attract interests many researchers. This paper proposes a K-Means method with genetic algorithm applied to faster more accurate classification. A preprocessing approach based on sorted neighborhood (SNM) designed clean the redundancy effectively. The then utilized classify processed records. In order improve efficiency accuracy, (GA) into model perform...

Traffic noises, especially the vehicle horn sounds, affect normal life of people and researchers have done many researches on recognition location traffic noises. This paper proposes a sound method with an improved SRP-PHAT. Through analyzing frequency domain features for recognizing are selected corresponding based time-frequency transformation (VHSR-TFT) is presented. Complying large time cost SRP-PHAT sounds location, stochastic region contraction utilized to improve real-time...