Judging Criteria Research Articles

IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms

Airtime is crucial for high-rotation tricks in snowboard halfpipe performance, significantly impacting trick difficulty, the primary judging criterion. This study aims to enhance the detection of take-off and landing events using inertial measurement unit (IMU) data in conjunction with machine learning algorithms since manual video-based methods are too time-consuming. Eight elite German National Team snowboarders performed 626 halfpipe tricks, recorded by two IMUs at the lateral lower legs and a video camera. The IMU data, synchronized with video, were labeled manually and segmented for analysis. Utilizing a 1D U-Net convolutional neural network (CNN), we achieved superior performance in all of our experiments, establishing new benchmarks for this binary segmentation task. In our extensive experiments, we achieved an 80.34% lower mean Hausdorff distance for unseen runs compared with the threshold approach when placed solely on the left lower leg. Using both left and right IMUs further improved performance (83.37% lower mean Hausdorff). For data from an algorithm-unknown athlete (Zero-Shot segmentation), the U-Net outperformed the threshold algorithm by 67.58%, and fine-tuning on athlete-specific (Few-Shot segmentation) runs improved the lower mean Hausdorff to 78.68%. The fine-tuned model detected takeoffs with median deviations of 0.008 s (IQR 0.030 s), landing deviations of 0.005 s (IQR 0.020 s), and airtime deviations of 0.000 s (IQR 0.027 s). These advancements facilitate real-time feedback and detailed biomechanical analysis, enhancing performance and trick execution, particularly during critical events, such as take-off and landing, where precise time-domain localization is crucial for providing accurate feedback to coaches and athletes.

Achievement of ductile-regime removal in fabricating Gaussian curved microstructure processed by micro ball-end milling on soft-brittle KDP surface

Laser-induced damage points (known as defects) would seriously reduce the service life of large-aperture KDP optics in high-power laser devices. The ball-end milling procedure is recognized as an efficient method for creating a Gaussian mitigation pit (GMP) to restore the optical transmission performance of functional KDP crystals by removing defects. Nevertheless, achieving smooth and flawless Gaussian curved microstructures is a massive challenge for soft-brittle KDP crystals. Herein, a judging criterion of the ductile-regime machining for the GMP is developed by the models of uncut chip thickness (UCT) and critical milling depth. Simultaneously, the obtained judging criterion can be validated by the microstructure fabrication experiments. Besides, considering the spindle vibration, plowing effect, and machined surface texture, the influence of spindle speed (n), feed rate (f), and tool mark interval (d) on the surface formation mechanism of the GMP is analyzed, respectively. It can be discovered that the n of up to 60,000 r/min can lead to severe velocity fluctuation of the motion system, increasing the UCT and causing brittle fractures on the KDP surface. A low f can result in an undesirable plowing phenomenon, and a large number of crystal materials are accumulated in the up-cut process. Once the f reaches 72 mm/min, the tool path would fluctuate significantly, resulting in poor GMP surface texture. When the d exceeds 15 μm, the surface quality of the GMP can no longer meet the engineering requirements of the Ra ≤ 50 nm. Moreover, the optimized processing parameters of the microstructure fabrication are 47,800 r/min in the n, 30 mm/min in the f, and 5 μm in the d. This study can provide crucial guidance for obtaining the ultra-smooth and defect-free GMP processed in the ductile regime, which would resultantly possess significant theoretical importance and practical value in enhancing the optical properties of flawed KDP crystals.

On the Effectiveness of the System of Delegating the Power of Administrative Punishment

The system of "delegating the power of administrative punishment" established in Article 24 of the "Administrative Punishment Law" breaks through the level restriction of the exercise of administrative punishment power and extends the power of administrative punishment to the grass-roots level to a certain extent, which is an important institutional way to improve the predicament of administrative enforcement power at the grass-roots level. However, with the continuous application of this system, the problem of its effectiveness has become increasingly prominent. In terms of the way and content of empowerment, "urgent need of grass-roots management" and "able to effectively undertake" should be used as the judging criteria for the delegation of administrative punishment power, and provincial subjects should establish a differentiated list of administrative punishment power delegation according to relevant provisions. In the operation of power, we should enhance the undertaking ability of the undertaking subject from the perspective of the establishment of law enforcement agencies in townships (streets) and the allocation of law enforcement personnel, so as to ensure the effective operation of power. In terms of system supervision, we should make clear the subject and way of supervision to prevent the abuse of the power of administrative punishment.

What Makes a Movement Human‐Like?

AbstractWith the advancement of AI‐generated human motion, it is of increasing importance to think about how we distinguish real human motion from machine‐generated movements. In this study, we recruited professional performers to use the whole body to make a short movement to inform potential observers that they are real humans (instead of machines). Their movements were captured with a motion capture system (Vicon) and later reduced to dynamic point‐like displays (biological motion). They were interviewed after the recording to provide their acting strategies. Naive observers who did not participate in the motion data collection were recruited to watch these videos and judge whether the biological motions looked human‐like or not (YES/NO), as well as to report their judging criteria. The major factors extracted from these reports include kinematics, context, body mechanics, and principles of physical laws. We discuss the impact of these criteria and how they may possibly help improve the future generation of human‐like motions.

The concentration of zero-noise limits of invariant measures for stochastic dynamical systems

We study the zero-noise concentration phenomena of invariant measures for SDE. The models are with locally Lipschitz coefficients and have more than one ergodic state. By the large deviations method and an expression of invariant measures, we estimate the invariant measures in neighborhoods of stable sets, unstable sets and their complements. Our results illustrate that the zero-noise limiting invariant measures will concentrate on the stable sets, where a cost functional W(Ki) is minimized. This implies that the long time behaviors of ODE and SDE must have different judging criteria. Furthermore, we prove the large deviations principle of invariant measures.

Experimental Study of Performance of Ti-6Al-4V Femoral Implants Using Selective Laser Melting (SLM) Methodology

Selective laser melting (SLM) technology used for the design and production of porous implants can successfully address the issues of stress shielding and aseptic loosening associated with the use of solid implants in the human body. In this paper, orthogonal experiments were used to optimize the process parameters for SLM molding of Ti-6Al-4V (TC4) material to investigate the effects of the process parameters on the densities, microscopic morphology, and roughness, and to determine the optimal process parameters using the roughness as a judging criterion. Based on the optimized process parameters, the mechanical properties of SLM-formed TC4 alloy specimens are investigated experimentally in this paper. The main conclusions are as follows: the optimal combination of roughness is obtained by polar analysis, the microhardness of SLM-molded TC4 alloy molded specimens is more uniform, the microhardness of specimens on the side and the front as well as the abrasion resistance is higher than that of casting specimens, the yield strength and tensile strength of specimens is higher than that of ASTM F136 standard and casting standard but the elongation is not as good as that of the standard, and the elasticity and compressive strength of porous specimens are higher than that of casting specimens at different volume fractions. The modulus of elasticity and compressive strength are within the range of human skeletal requirements. This work makes it possible to fabricate high-performance porous femoral joint implants from TC4 alloy SLM-molded materials.

State-Feedback Set Stabilization of Boolean Networks With State-Dependent Random Impulses.

In this article, we are devoted to addressing the state-feedback set stabilization of Boolean control networks with state-dependent random impulses by utilizing a hybrid index model. By comparison with the previous impulsive Boolean networks, this model can be used to describe the instantaneousness of various impulsive behaviors more clearly. In order to avoid the occurrence of Zeno phenomenon, we first introduce the basic concept of forward completeness and further establish the judging criterion. After that, an algorithm is presented to derive the largest control invariant subset of a given subset. Based on this, we derive a necessary and sufficient criterion for finite-time feedback set stabilizability. Similarly, the result is also obtained for the asymptotic case, and the asymptotic set stabilizers are designed by dividing the whole state space into several layers. Moreover, we also investigate the relationships between different stabilizabilities. Last, two illustrative examples are presented to demonstrate the efficiency of the theoretical results.

Preparation of 1,3‐Diglyceride Microcapsules with Low Glycemic Index

AbstractA large number of animal and clinical experiments show that 1,3‐diglyceride (1,3‐DAG) can significantly ameliorate obesity by improving blood lipid and glucose metabolism. After microencapsulation, it cannot only be used to prepare full‐nutrient food that meets the nutritional requirements of specific patients, but also improve the storage stability of oils. In this study, 1,3‐DAG microcapsules are prepared by using high‐amylose corn starch, resistant dextrin, and sodium caseinate as composite wall materials, and 1,3‐DAG with a purity of 80% as core material.Firstly, the water phase and oil phase are mixed evenly, and then the uniform emulsion is prepared by two steps of high‐speed shearing and high‐pressure homogenization. The prepared emulsion is desiccated by a spray dryer to prepare microcapsules. Taking the encapsulation rate as the judging criteria, five gradients of core and wall material are designed to obtain the optimal formula.The results show that when the amount of core material is 28% and the wall material is 70%, the encapsulation rate of 99.51% is the highest. The prepared 1,3‐DAG microcapsules have water content of 1.9% and solubility of 98.05%, the average particle size is 2.921 µm. The particles are uniform and stable, with fine color and texture, and a high oil content.

Research on Flexible Braking Control of a Crawler Crane during the Free-Fall Hook Process

Due to the large inertia and strong impact accompanying the free-falling hook process of crawler cranes, it is difficult to meet the demand for flexible and smooth braking control under different weight load conditions. Therefore, this paper takes the free-fall hook system as the research object and combines system operation characteristics and control theory to carry out research on flexible braking control of the free-fall hook system. Firstly, a joint simulation platform of MATLAB (version 2018b) and AMESim (version 2019.1) software is built to theoretically analyze the key components of the free-fall hook system (proportional pressure-reducing valve, winch reducer, and wet clutch). Secondly, a mathematical model of the braking process is established, and the pressure control demand is clarified to analyze the reasons for the existence of dead zones and hysteresis loops in the system. Meanwhile, it is found that the dead zones and hysteresis loops existing in the pressure output of the pressure-reducing valve are the main factors of flexibility with load braking. Then, in this paper, a closed-loop control strategy is formulated based on the automatic adaptation of the braking gear in combination with the fuzzy PID pressure. Finally, the effectiveness of the control strategy proposed in this paper is verified with simulation and experimental testing using the pressure hysteresis loop of the free-fall hook process and the load-braking acceleration as the judging criteria. The results show that the system pressure hysteresis loop is reduced by 50%–60% and the maximum braking acceleration is reduced by 24%–30% under the conditions of 6.44 tonnes and 10.44 tonnes, which improves the accuracy of pressure control and achieves flexible and smooth braking with loads for different tonnages of free-fall hooks.

Queer communities, friendship, and moments of joy and wonder in Andrew Logan’s Alternative Miss World competition

ABSTRACT UK artist Andrew Logan has been creating art in many forms for over 50 years. Arguably his most joyously inclusive event, the Alternative Miss World competition, celebrated its fiftieth anniversary in 2022. Adopting the same judging criteria as Crufts and offering an antithesis to the sanitised, commercially-driven pop star contest, this pageant celebrates camp excess, humour, and individuality. Logan, his friends, and colleagues – including Zandra Rhodes, Joan Bakewell, Derek Jarman, and Vivienne Westwood – exemplify an alternative version of queerness bound up with a vibrant, inclusive community. Drawing from Logan’s archive and Jill Dolan’s concept of ‘utopian performatives’ (2005), this article examines acts of solidarity and resistance that Logan and his peers/friends have exhibited over the past 50 years, highlighting the enchanting wonder and found family that have developed through mutual support. As contemporary life appears to eschew community and solidarity for independent consumerism, Logan provides an alternative way of living and creating art that advocates generous connection. This article examines how community and collaboration – in Logan’s work and beyond – can achieve positive change through utopic moments of wonder and hope.

Exploring the Origins and Characteristics of Kokah Pigeons: A Concise Overview

As a distinctively vocal avian species, 'kokah' pigeons stand out as an exceptional breed in Bangladesh, particularly in the regions of Rajshahi, Natore, and Rangpur. Despite their prevalence, there are currently no established standards for judging this unique pigeon breed. Following discussions with numerous breeders in Bangladesh, there is a recognized need to establish standardized criteria for future judging.

A FUZZY MEASURE THEORY BASED PROBE INTO A SPATIAL VARIATON ON SURFACE TEMPERATURE OVER INDIA

Abstract. This study used time series and fuzzy measures to comprehend the surface temperature over Northeast India (NEI), Northwest India (NWI), and Central India (CI). We presented a technique for calculating the uncertainty surrounding surface temperature data related to the Indian summer monsoon from 1901–2007. We utilized the Dempster-Shafer Theory to produce belief measures once the random variables had been standardized. We used two judging criteria and derived the joint belief measures for all the cases. This approach gave us some insight into the uncertainties associated with the three-time series taken from three spatially separated zones. It was confirmed that the strength of the evidence across a longer time horizon is a more predictable parameter.

An electrochemical method for characterizing the structure of double-layer capacity

PurposeThe relation between metal corrosion behavior and double-layer capacity remains unclear. This study aims to put forward a novel method to measure double-layer capacity.Design/methodology/approachA novel model based on generalized Frumkin–Butler–Volmer equation was put forward. Combining this model with potentiodynamic polarization test and electrochemical impedance spectroscopy, the structure of double-layer capacity can be characterized.FindingsThis study found that the corrosion rate of iron increased with NaCl solution concentration and temperature at the experimental range, but an essential difference existed. The capacity of the diffuse layer and Stern layer increased with temperature and decreased with NaCl solution concentration. The ratio of diffuse layer capacity and Stern layer capacity influences the corrosion rate directly, which can be regarded as one of the judging criteria for corrosion resistance of metal materials.Originality/valueThe convenient means of double-layer structure characterization is still blank. With this method, the corrosion behavior of metal materials can be further analyzed, especially in high-temperature and pressure environments.

Real-time and robust feature detection of continuous marker pattern for dense 3-D deformation measurement

Visuotactile sensing technology has received much attention in recent years. This article proposes a feature detection method applicable to visuotactile sensors based on continuous marker patterns (CMP) to measure 3-d deformation. First, we construct the feature model of checkerboard-like corners under contact deformation, and design a novel double-layer circular sampler. Then, we propose the judging criteria and response function of corner features by analysing sampling signals’ amplitude-frequency characteristics and circular cross-correlation behavior. The proposed feature detection algorithm fully considers the boundary characteristics retained by the corners with geometric distortion, thus enabling reliable detection at a low calculation cost. The experimental results show that the proposed method has significant advantages in terms of real-time and robustness. Finally, we have achieved the high-density 3-d contact deformation visualization based on this detection method. This technique is able to clearly record the process of contact deformation, thus enabling inverse sensing of dynamic contact processes.

The Teaching Application of the Backward Design Method in Chinese National Undergraduate Engineering Training Integration Ability Competition: Take the Double 8 Carbon-Free Car as an Example

National Undergraduate Engineering Training Integration Ability Competition is essential in Chinese engineering colleges. Among these items, the carbon-free car competition is popular among college students because of its flexible track, challenging design tasks, and fair judging criteria. In this study, to design a reasonable carbon-free car structure according to the track given by the competition, a reverse analysis method was proposed for the double 8-shaped carbon-free car trajectory based on the space cam mechanism. First, the carbon-free car’s structure was designed, and its stress state was analyzed, with the results indicating that the driving force should be reduced as much as possible under the premise of satisfying the starting requirements to increase the travel distance of the carbon-free car with no slipping. Then, the function between the car track and the front wheel swing angle was established, and the displacement law of the push rod of the cam mechanism was calculated through the swing angle of the front wheel. Finally, the cam profile was got based on the operating law of the push rod. Research has shown that compared with the traditional forward design, this method was more accurate with strong feasibility and operability, which provided good technical support for designing the subsequent carbon-free car competition.

A Novel Method of Blockchain Cryptocurrency Price Prediction Using Fractional Grey Model

Cryptocurrency prices have the characteristic of high volatility, which has a specific resistance to cryptocurrency price prediction. Therefore, the appropriate cryptocurrency price predictive method can help reduce the investment risk of investors. In this study, we proposed a novel prediction method using a fractional grey model (FGM (1,1)) to predict the price of blockchain cryptocurrency. Specifically, this study established the FGM (1,1) through the closing price of three representative blockchain cryptocurrencies (Bitcoin (BTC), Ethereum (ETH), and Litecoin (LTC)). It adopted the PSO algorithm to optimize and obtain the optimal order of the model, thereby conducting prediction research on the price of blockchain cryptocurrency. To verify the predictive precision of the FGM (1,1), we mainly took MAPE, MAE, and RMSE as the judging criteria and compared the model’s predictive precision with the GM (1,1) through experiments. The research results indicate that within the data range studied, the predictive accuracy of the FGM (1,1) in the closing price of BTC, ETH, and LTC has reached a “highly accurate” level. Moreover, in contrast to the GM (1,1), the FGM (1,1) outperforms predictive capability in the experiments. This study provides a feasible new method for the price prediction of blockchain cryptocurrency. It has specific references and enlightenment for government departments, investors, and researchers in theory and practice.

Strain-history dependent macro behavior/microscopic fabrics of re-liquefiable sand verified by 3D DEM

Sand reliquefaction has gained increasing concern and attention due to the severe destruction and complex mechanical behavior, which differs significantly from virgin liquefaction. Previous strain history would form various fabrics that can affect reliquefaction resistance. Although some researchers have focused on the cyclic response of reliquefaction by laboratory and simulation tests, little investigation about the influence of fabric evolution caused by previous strains on reliquefaction was reported. Therefore, several simulation tests, considering the influence of pre-shear strains (both residual strains Δ and double amplitude of axial strain DA), were performed to investigate the macro behavior/microscopic fabrics of sand. Numerical results suggested that the influence of DA on reliquefaction resistance were mainly contributing to IR and Za, and the effect of Δ was primary due to the evolution of ac. Finally, a new judging criterion for anisotropic fabric during reconsolidation is proposed for the sand experienced liquefaction history.

Изкуството на ХХI век като аксиологичен и когнитивен проблем на неразличимостта

This paper explores the paradoxical nature of contemporary art, which is a negation of all previous values, criteria and practices. It conceptualizes the problem of cognitive and aesthetic indistinguishability between art and non-art in 21st-century art practices. The result of the lack of criteria for judging and evaluation is the irrelevance of categories and differences. Aesthetic uncertainty is the new canon.

Redesigning the surveillance of in vitro diagnostic medical devices and of medical laboratory performance by quality control in the traceability era.

IVD manufacturers have total responsibility in terms of the traceability of marketed in vitro diagnostic medical devices (IVD-MD). This includes the provision of a quality control (QC) material as a part of the measuring system, suitable for traceability verification and alignment surveillance by end-users in daily practice. This material [to be used for the internal QC (IQC) component I as described in this paper] should have unbiased target values and an acceptability range corresponding to analytical performance specifications (APS) for suitable (expanded) measurement uncertainty (MU) on clinical samples. On the other hand, medical laboratories (by the IQC component II as described in this paper) should improve the IQC process and its judging criteria to establish a direct link between their performance, estimated as MU of provided results, and APS defined according to recommended models to apply corrective actions if the performance is worsening with the risk to jeopardize the clinical validity of test results. The participation to external quality assessment (EQA) programs that meet specific metrological criteria is also central to the evaluation of performance of IVD-MDs and of medical laboratories in terms of harmonization and clinical suitability of their measurements. In addition to the use of commutable materials, in this type of EQA it is necessary to assign values to them with selected reference procedures and to define and apply maximum allowable APS to substantiate the suitability of laboratory measurements in the clinical setting.

Circumventing Challenges: Design of Anodic Electrocatalysts for Hybrid Water Electrolysis Systems

AbstractWater electrolysis, driven by renewable energy resources, is a promising energy conversion technology that has gained intensive interest in recent years. However, conventional water electrolysis faces a number of challenges, including large thermodynamic potential gaps, valueless anodic products, explosive hydrogen/oxygen mixtures, reactive oxygen species, and limited pure water. Hybrid water electrolysis, appending different electrolytes in the anode compartment to circumvent the above‐mentioned challenges in conventional water electrolysis, is a particularly attractive alternative. In this review, for the first time, a holistic and subtle description of hybrid water electrolysis is provided, focusing on the design of high‐activity/selectivity/stability anodic electrocatalysts for the electrochemical oxidation of various chemicals, such as alcohol, aldehyde, amine, urea and hydrazine, or the oxygen evolution reaction in seawater electrolytes. Comprehensive judging criteria for anodic oxidation reactions, electrocatalysts, and reaction parameters in hybrid water electrolysis are discussed. Some technoeconomic assessments, feasibility analyses, mechanism explorations, and correlation comparisons are involved. Finally, perspectives on and opportunities for future research directions in hybrid water electrolysis systems are outlined.