Theoretical and experimental study of motion and sinking time of Saxon Bowls

This work focuses on investigating the time of sinking of a Saxon bowl proposed by ‘International Young Physicists’ Tournament in 2020. A quasi-static model is built to simulate the motion path of the bowl and predict the sinking time subsequently. The model assumes an open axisymmetric bowl with a hole in its base. The hole is modelled as a pipe for which the flow profile is governed by a modified Bernoulli’s equation which has a Coefficient of Discharge (C_d) added to account for energy losses. The motion of the entire bowl is assumed to be in quasi-static equilibrium for an infinitesimal time interval to calculate the volumetric flow rate through the hole. The model is used to predict the sinking times of various bowls against independent variables - hole radius, bowl dimensions, mass of bowl, mass distribution of bowl, and Coefficient of Discharge - and predict the motion path of bowls of different, axisymmetric geometries. Characterisation of C_d was done by draining a bowl filled with water and measuring the time taken to do so. Experimental verification was completed through measuring sinking times of 3D printed hemispherical bowls of the different variables in water. Motion tracking of bowls with different geometries was done using computational pixel tracking software to verify the model’s predictive power. Data from experiments for sinking time against the variables corroborate with the model to a great degree. The motion path tracked, matched the modelled motion path to a high degree for bowls of different shapes, namely a hemisphere, cylinder, frustum, and a free-form axisymmetric shape. The work is poised for an undergraduate level of readership.

Design of electronic cam for lower hook mechanism of fishing net-weaving machine based on polynomial fitting

The working efficiency and stability of the double hook-based fishing net-weaving machine is mainly determined by the lower hook mechanism. In this work, a new kind of lower hook mechanism, which is driven by four servo motors, is presented, and the electronic cam curve of the lower hook mechanism is introduced. First, cubic B-spline interpolation is used to get the basic motion path of the lower hook plate, and then the piecewise quintic polynomial fitting method is used to fit the motion path. Finally, self-adaptive mutation-based particle swarm optimization is put forward and used to obtain the optimal parameters of the quintic polynomial, which performs better compared with the other two particle swarm optimization algorithms in this study. Experiments suggest that the electronic cam curve generated by the piecewise quintic polynomial fitting has got 55.91% (horizontal motors) and 60.96% (vertical motors) optimization in maximum motor torque compared with curves generated by cubic B-spline interpolations. In addition, the new lower hook mechanism and its moving curve described in this paper improved the theoretical weaving speed of the fishing net-weaving machine, providing a basis for digital improvement of the knotted net-weaving industry.

Типові керовані форми дієслів руху / переміщення в українській літературній мові

In the article, on the basis of valence, a typical set of valence-driven governed components dependent on verbs of movement / moving is analyzed, a hierarchy of governed case and prepositional-case forms of these verbs is proposed, the main morphological means of their expression and their morphological variants are determined. According to such sets of governed components, a typology of verbal government is suggested. The differences between the traditional interpretation of grammatical government and the interpretation offered by the researchers of the latest Ukrainian linguistics are emphasized. The valence-determined government makes it possible to consider governed only notional verbally dependent components with semantic functions of the object, the addressee, the instrument (tool or means of action) and the locality (location, initial and end points of the motion, path of motion). The maximum quantity of typical governed components is shown by the verbs of movement / moving, they belong to multivalent ones. In typical expressions these verbs can have up to six governed components.

A Basketball Technique Balance Control Technology Based on Ant Colony Algorithm

Aiming at the problems of low accuracy, poor stability, and effect of balance control in the current basketball skill balance control process, a basketball skill balance control method based on ant colony algorithm is proposed. The principle and characteristics of ant colony algorithm are analyzed, the mathematical model of ant colony algorithm is established, and the implementation steps of ant colony algorithm are given. According to the balance and stability control principle of basketball skills, this paper constructs the balance and stability control model of basketball skills. By establishing the knee-ankle-foot joint analysis model and using the ant colony algorithm, the basketball movement path is constructed. Through the fitness function, select the basketball motion path nodes and update the pheromone, obtain the relationship between the internal stress and displacement of the body under different force directions, and obtain the influence law of the effective knee joint stress with the varus and internal rotation, so as to achieve the balance and stability of the basketball skills sexual control analysis. The experimental results show that the proposed method has better stability and effect of basketball technique balance control and can effectively improve the accuracy of basketball technique balance control.

¿Salir o salir corriendo? Una aproximación a la construcción verbo + gerundio de modo en textos originales y textos traducidos al español

Salir or salir corriendo? An Approach to the Construction of verb + gerund of manner in Original Texts and Texts Translated into Spanish. This article deals with the gerund of manner in combination with verbs of motion. The starting point of this study is the theoretical framework proposed by cognitive semantics which maintains that a motion event can be divided into several components: MOTION, PATH, FIGURE and GROUND. With respect to the predominant lexicalization patterns, two types of languages are distinguished: satellite -framed languages (which encode the PATH by means of a “satellite”) and verb -framed languages (which express the PATH using the verb stem). In addition, it has been observed that speakers of the second group pay less attention to the expression of MANNER, a secondary component, and that there are significant restrictions affecting this component in “boundary -crossing” events. To explore the use of the gerund in combination with verbs of motion, the InterCorp and Araneum Hispanicum Maius corpora, hosted by the Institute of the Czech National Corpus, were used. The results indicate that the gerund of manner is most often used in combination with salir, ir, venir, and llegar, and the most common forms are cor‑ riendo, caminando, andando, and volando. They also show that the combinations with corriendo and volando are more frequent in the subcorpus of texts translated into Spanish than in the subcorpus of original texts. The author concludes that the dynamics of the event is important and that is why the MANNER information is kept in the translations.

Design of AGV Control Strategy in a Processing System

A typical manufacturing system requiring a high degree of automation usually includes warehouse, AGV, CNC, assembly line and laser marking equipment. Among them, AGV plays an important role on the overall operating quality and operating efficiency. This paper studies AGV control strategy under the background of the typical manufacturing system. Firstly the two modes of AGV motion path are defined; the flow chart of AGV movement between any two points in the system is analyzed, and the AGV communication module in the minimum operation mode is designed; finally, control programs for several main scenarios are proposed based on PLC ladder diagram. The outcome helps the optimization of AGV control decision relating to a bottom operation layer of any manufacturing system.

A Path Planning Method Based on Robot Automatic Grinding of Drills

This paper proposes a path planning method for grinding excess material after PDC bit repair using industrial robots. Firstly, a 3D scanning instrument is used to obtain point cloud data of the bit to be ground, secondly, this data are imported into Geomagic Studio for processing to obtain the triangular sheet file of the area to be ground. Finally, the software based on MATLAB is used to process the file and calculate the motion path of the robot end-effector. The generated path is imported into ROS for simulation. By comparing the generated path with the grinding area, it was verified that the generated path could be used in actual operation.

Feature Engineering for Motion Classification in Machine Vision

With the most advanced classification algorithms in the technological platform, the computational power requirement is on the surge. The paper hereby presents computationally trivial algorithms to simplify the process of computational intensive classifications techniques, especially in the Motion Classification arena. The proposed methods prove crucial in acting as a lightweight and computationally fast stepping stone to a fundamentally more significant application of Motion indexing and classification, Action recognition, and predictive analysis of motion energy. The algorithms classify the motions into linear, circular, or periodic motion types by following an appropriate execution order. They consider the tracked motion path of the object of interest as a sequence and use it as a starting point to perform all operations, resulting in a feature that can be classified into separate classes. Using a single parameter for classifying the motion engenders a faster and relatively more straightforward route to motion identification and elicits the algorithm’s uniqueness. Two algorithms are proposed, namely, Angle Derivative Technique and Determinant Method for classifying the motion into two classes (linear & circular). On the other hand, a different algorithm identifies periodic motion using the principle of correlation on the motion sequences. All the algorithms show an average accuracy of over 95%. It also elicited an average processing time of 15.6 ms and 19.86 ms for Angle Derivative Method and Determinant Method, respectively, and 31.2 ms for periodic motion on Intel(R) Core(TM) i3-5005U CPU @ 2.00 GHz and 8GB RAM. A dataset of camera-captured videos consisting of three motion types is used for testing while the proposed methods are trained on a dataset of motion described by mathematical equations with added 3σ noise levels.

Sorting path optimization of parallel robot based on improved Genetic Algorithm

In industrial production, parallel robot is often used for sorting, battery clamp is divided into two structures, the classification and sorting, for multi-target sorting problems. The motion path of end-effector is planned, the overall sorting path is planned, and the practical problem is transformed into a similar traveling salesman problem. The improved genetic algorithm is proposed to optimize the sorting time sequence, and the optimized path shortens 10.23% total distance on average compared with random sorting and 5.37% total distance compared with fixed longitudinal sorting. The shortening of the total distance can lead to higher sorting efficiency in sorting and increase productivity.