Hair transplantation surgery is an effective solution for hair loss problems,among which follicle unit extraction(FUE)surgery is more widely used and *** present,most hair transplantation surgeries still rely heavily ...
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Hair transplantation surgery is an effective solution for hair loss problems,among which follicle unit extraction(FUE)surgery is more widely used and *** present,most hair transplantation surgeries still rely heavily on manual operation by doctors and very few hair transplantation robots with complex structures have been *** paper proposes a pneumatic hair transplantation mechanism for FUE surgery,equipped with a camera,capable of automatically performing both hair implantation and extraction with *** pneumatic method eliminates the complex needle structure,has the function of temporarily storing the follicles inside the needle,thus facilitating the automation of transferring follicles from extraction to *** a visual feedback system is proposed to accurately position the follicles during the *** experimental results show that average distance deviation between the actual and target positions is 0.6128 mm and the average deviation of hair implantation depth is 1.7176 mm,which verify the feasibility of the proposed system.
In order to overcome the problems of low accuracy, long optimisation time and high printing error of traditional 3D printing parameter optimisation methods, a optimisation method of 3D printing parameters of nanocompo...
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A prediction framework based on the evolution of pattern motion probability density is proposed for the output prediction and estimation problem of non-Newtonian mechanical systems,assuming that the system satisfies t...
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A prediction framework based on the evolution of pattern motion probability density is proposed for the output prediction and estimation problem of non-Newtonian mechanical systems,assuming that the system satisfies the generalized Lipschitz *** a complex nonlinear system primarily governed by statistical laws rather than Newtonian mechanics,the output of non-Newtonian mechanics systems is difficult to describe through deterministic variables such as state variables,which poses difficulties in predicting and estimating the system’s *** this article,the temporal variation of the system is described by constructing pattern category variables,which are non-deterministic *** pattern category variables have statistical attributes but not operational attributes,operational attributes are assigned to them by posterior probability density,and a method for analyzing their motion laws using probability density evolution is ***,a data-driven form of pattern motion probabilistic density evolution prediction method is designed by combining pseudo partial derivative(PPD),achieving prediction of the probability density satisfying the system’s output *** on this,the final prediction estimation of the system’s output value is realized by minimum variance unbiased ***,a corresponding PPD estimation algorithm is designed using an extended state observer(ESO)to estimate the parameters to be estimated in the proposed prediction *** effectiveness of the parameter estimation algorithm and prediction method is demonstrated through theoretical analysis,and the accuracy of the algorithm is verified by two numerical simulation examples.
This paper investigates the tracking control problem for unmanned underwater vehicles(UUVs)systems with sensor faults,input saturation,and external disturbance caused by waves and ocean *** active sensor fault-toleran...
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This paper investigates the tracking control problem for unmanned underwater vehicles(UUVs)systems with sensor faults,input saturation,and external disturbance caused by waves and ocean *** active sensor fault-tolerant control scheme is ***,the developed method only requires the inertia matrix of the UUV,without other dynamic information,and can handle both additive and multiplicative sensor ***,an adaptive fault-tolerant controller is designed to achieve asymptotic tracking control of the UUV by employing robust integral of the sign of error feedback *** is shown that the effect of sensor faults is online estimated and compensated by an adaptive *** the proposed controller,the tracking error and estimation error can asymptotically converge to ***,simulation results are performed to demonstrate the effectiveness of the proposed method.
In the field of computer vision, it is a challenging task to accurately describe local features in point clouds with different noise, resolution and low overlap rate. Weighted distance and local density double histogr...
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At present, steel bar binding robots solve the problems of large amounts of work and worker safety in steel bar binding projects, and the detection of steel bar binding intersections has become a research point. To so...
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The integration of endoscopy has significantly propelled the diagnosis and treatment of gastrointestinal diseases,with colonoscopy establishing itself as the primary method for early diagnosis and preventive care in c...
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The integration of endoscopy has significantly propelled the diagnosis and treatment of gastrointestinal diseases,with colonoscopy establishing itself as the primary method for early diagnosis and preventive care in colorectal cancer(CRC).Although deep learning holds promise in mitigating missed polyp rates,modern endoscopy examinations pose additional challenges,such as image blurring and *** study explores lightweight yet powerful attention mechanisms,introducing the spatial-channel transformer(SCT),an innovative approach that leverages spatial channel relationships for attention weight *** method utilizes rotation operations for inter-dimensional dependencies,followed by residual transformation,encoding inter-channel and spatial information with minimal computational *** experiments on the CVC-Clinic DB polyp detection dataset,addressing endoscopy pitfalls,underscore the superiority of our SCT over other state-of-the-art *** proposed model maintains high performance,even in challenging scenarios.
One of the essential techniques for using underwater robots to fish sea cucumbers is that the robots must track sea cucumbers using computer vision *** underwater targets is a challenging task due to suspension,water ...
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One of the essential techniques for using underwater robots to fish sea cucumbers is that the robots must track sea cucumbers using computer vision *** underwater targets is a challenging task due to suspension,water absorption,and light *** study proposed a simple but effective algorithm for sea cucumber tracking based on Kernelized Correlation Filters(KCF)*** method tracked the head and tail of the sea cucumber respectively and calculated the scale change according to the distance between the head and *** KCF method was improved on three *** of all,the target was searched at the predicted position to improve ***,an adaptive learning rate updating method based on the detection score of each frame was ***,the adaptive size of the histogram of the oriented gradient(HOG)feature was used to balance the accuracy and *** results showed that the algorithm had good tracking performance.
Rolling bearings are crucial in mechanical systems, where failures pose safety risks and economic losses. However, their rarity makes timely fault detection and data collection challenging. To address this, a parallel...
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The region coverage control problem of multiple stratospheric airships system is firstly addressed in this *** it,we propose a two-layer control framework with the artificial potential field(APF)-based region coverage...
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The region coverage control problem of multiple stratospheric airships system is firstly addressed in this *** it,we propose a two-layer control framework with the artificial potential field(APF)-based region coverage control law and the adaptive tracking control *** APF-based region coverage control law ensures the coverage task is achieved until every single stratospheric airship ends up performing station keeping where near the respective global minimum point,in which an innovative solution to the local minimum problem is put *** adaptive tracking control law is designed to realize motion control using tracking the desired velocity and angular velocity given by coverage control law,with the consideration of several practical control problems as unknown individual differences and external *** save resources,the combined self-/event-triggered mechanism designed therein significantly reduces the times of state information transmission and control law *** effectiveness of the proposed control framework is verified through simulations.
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