scholarly journals Feature Engineering for Motion Classification in Machine Vision

2021 ◽  
Vol 2115 (1) ◽  
pp. 012043
Author(s):  
Soumya Shaw ◽  
Susan Elias ◽  
Sudha Velusamy

Abstract 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.

Author(s):  
Harri Oinas-Kukkonen ◽  
Toni Alatalo ◽  
Jouko Kaasila ◽  
Henri Kivela ◽  
Sami Sivunen

Web information systems engineering means a collection of sound principles, methods, techniques and tools for developing Web-based information systems, which differ from traditional information systems in their unique technological platform and design philosophy. Key features of Web information systems engineering beyond traditional and object-oriented information systems development include emphasis on user navigation, the multilevel interactivity of the environment, and the advanced hypertext functionality in target information systems. A starting point for designing and modeling Web information systems is that these are essentially hypertext information systems. This chapter will specify requirements for Web information systems engineering methodologies from the viewpoints of hypermedia communication environments, adaptive hypermedia systems, and mobile hypermedia.


2021 ◽  
Vol 21 (2) ◽  
pp. 47-60
Author(s):  
Petr Šlechta

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.


Author(s):  
P. D. Rabinovich ◽  
K. E. Zavedenskiy ◽  
M. E. Kushnir ◽  
Yu. E. Khramov ◽  
A. R. Melik-Parsadanov

The problem of distance between the processes of world transition to a new technological platform, information technologies, to the digital economy and digitalization of various spheres of activity, including education, on the one hand, and not sufficiently deep studies of the phenomenon of digital transformation, including the digital transformation of education, on the other hand, is studied. Lack of elaboration of the essence of digital transformation provokes the free and often marketing use of the concepts of digitalization, digital technologies, and digital transformation of education, and in practice leads to low efficiency of actions taken to implement projects and programs of digital transformation. The lack of strict assumptions leads to a lack of meanings, a multiple increase in the managerial and organizational complexity of implementing the actual practice of digital transformation in education, and as a result, there is an imitation or formal implementation of promising projects. The purpose of the study is to substantiate the General model of digital transformation and to specify it in relation to the digital transformation of education, demonstrating all the elements of the structure of the transformed object and the nature of the cardinal transformations. The hypothesis being tested — the transformation process covers not only the means of educational activity, in particular, digital technologies, but also other elements of it — the goal, object, subject, changing the essence of the educational activity itself, contrasting it with the processes of training and preparation. The system-based research methodology is used. Research methods: main — theoretical analysis and synthesis of existing scientific positions, observation of practical artifacts of digital transformation of education; accompanying — experimental method for testing the results of research. The main results were: distinguishing digital transformation projects, highlighting their unique properties and characteristics that differ from projects of optimization, improvement, development; substantiating the model of digital transformation of education, including proof that in the process of transformation, not only the means (digital technologies), but also the content of the educational process, its goals, subjects and methods of communication between them change dramatically. This suggests a new approach to changing the education process under the influence of digital transformation, its distance from the processes of education and training, which will become a starting point in the self-organization of teams of projects of digital transformation of education. The results will be useful to heads of education authorities at all levels, managers and development teams of educational organizations of basic and additional education, who are planning or implementing digital transformation projects.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1986 ◽  
Author(s):  
Yue Zhang ◽  
Jing Yu ◽  
Chunming Xia ◽  
Ke Yang ◽  
Heng Cao ◽  
...  

This study investigated classification of six types of head motions using mechanomyography (MMG) signals. An unequal segmenting algorithm was adopted to segment the MMG signals generated by head motions. Three types of features (time domain, time-frequency domain and nonlinear dynamics) were extracted to construct five feature sets as candidate datasets for classification analysis. Genetic algorithm optimized support vector machine (GA-SVM) was used to classify the MMG signals. Three different kernel functions, different combinations of feature sets, different number of signal channels and training samples were selected for comparative analysis to evaluate the classification accuracy. Experimental results showed that the classifier had the best overall classification accuracy when using the radial basis function (RBF). Any combination of three different types of feature sets guaranteed an average accuracy of over 80%. In the case of the best combination (feature set 2 + 3 + 5), the classification accuracy was up to 88.2%. Using four channels to acquire MMG signal and no less than 60 training samples can assure a satisfactory classification accuracy.


2016 ◽  
Vol 822 ◽  
pp. 443-451
Author(s):  
Violeta Dumitru

This paper presents an economic model based on graph theory to optimize the execution order for automotive products on the manufacturing lines served by robots, so that the total manufacturing cost is minimized. The starting point is a representation of the range of automotive products with similar design attributes but with different construction requirements (material, tolerances, production volume). This representation is distinguished by a directed graph G = (X, Γ) consisting of the set X of nodes (products) and the set Γ of arcs (paths with minimal cost). In terms of mathematical optimization problem is solved by determining the minimum length Hamiltonian path in the graph, using the algorithm of Foulkes. The length of a path is obtained by adding the numbers associated with that path arcs. The model can be applied to other extreme transportation issues CIM type, such as: transportation network modeling; determining minimum distances; median problem (placing checkpoints); multi-product maximum flow problem.


2014 ◽  
Vol 699 ◽  
pp. 794-799
Author(s):  
Kasrul Abdul Karim ◽  
Md Nazri Othman ◽  
Wan Ahmas Redhauddin ◽  
Mohd Ismadi Bugis ◽  
Zulkifli Ramli ◽  
...  

The lack of internal combustion engine (ICE) for electric vehicle (EV) makes it solely dependable on battery supply. Due to this, the prediction of battery consumption becomes crucial to determine the accurate driving range before the car needs to be re-charged. The developed prediction model can also be applied as simulation tool and help in reducing the length and the cost of the EV design process. This paper presents the prediction of battery power requirement for a small re-engineered EV converted from a commercial ICE car by using vehicle dynamic mathematical equations. The prediction is performed based on multiple journey profile that gathered before the actual test. The development of re-engineered EV is also presented, along with the experimental result of an actual drive test on a racing circuit to validate the prediction model.


Author(s):  
L.R. Wallenberg ◽  
J.-O. Bovin ◽  
G. Schmid

Metallic clusters are interesting from various points of view, e.g. as a mean of spreading expensive catalysts on a support, or following heterogeneous and homogeneous catalytic events. It is also possible to study nucleation and growth mechanisms for crystals with the cluster as known starting point.Gold-clusters containing 55 atoms were manufactured by reducing (C6H5)3PAuCl with B2H6 in benzene. The chemical composition was found to be Au9.2[P(C6H5)3]2Cl. Molecular-weight determination by means of an ultracentrifuge gave the formula Au55[P(C6H5)3]Cl6 A model was proposed from Mössbauer spectra by Schmid et al. with cubic close-packing of the 55 gold atoms in a cubeoctahedron as shown in Fig 1. The cluster is almost completely isolated from the surroundings by the twelve triphenylphosphane groups situated in each corner, and the chlorine atoms on the centre of the 3x3 square surfaces. This gives four groups of gold atoms, depending on the different types of surrounding.


2019 ◽  
Vol 476 (24) ◽  
pp. 3687-3704 ◽  
Author(s):  
Aphrodite T. Choumessi ◽  
Manuel Johanns ◽  
Claire Beaufay ◽  
Marie-France Herent ◽  
Vincent Stroobant ◽  
...  

Root extracts of a Cameroon medicinal plant, Dorstenia psilurus, were purified by screening for AMP-activated protein kinase (AMPK) activation in incubated mouse embryo fibroblasts (MEFs). Two isoprenylated flavones that activated AMPK were isolated. Compound 1 was identified as artelasticin by high-resolution electrospray ionization mass spectrometry and 2D-NMR while its structural isomer, compound 2, was isolated for the first time and differed only by the position of one double bond on one isoprenyl substituent. Treatment of MEFs with purified compound 1 or compound 2 led to rapid and robust AMPK activation at low micromolar concentrations and increased the intracellular AMP:ATP ratio. In oxygen consumption experiments on isolated rat liver mitochondria, compound 1 and compound 2 inhibited complex II of the electron transport chain and in freeze–thawed mitochondria succinate dehydrogenase was inhibited. In incubated rat skeletal muscles, both compounds activated AMPK and stimulated glucose uptake. Moreover, these effects were lost in muscles pre-incubated with AMPK inhibitor SBI-0206965, suggesting AMPK dependency. Incubation of mouse hepatocytes with compound 1 or compound 2 led to AMPK activation, but glucose production was decreased in hepatocytes from both wild-type and AMPKβ1−/− mice, suggesting that this effect was not AMPK-dependent. However, when administered intraperitoneally to high-fat diet-induced insulin-resistant mice, compound 1 and compound 2 had blood glucose-lowering effects. In addition, compound 1 and compound 2 reduced the viability of several human cancer cells in culture. The flavonoids we have identified could be a starting point for the development of new drugs to treat type 2 diabetes.


2020 ◽  
Vol 5 (5) ◽  
pp. 1175-1187
Author(s):  
Rachel Glade ◽  
Erin Taylor ◽  
Deborah S. Culbertson ◽  
Christin Ray

Purpose This clinical focus article provides an overview of clinical models currently being used for the provision of comprehensive aural rehabilitation (AR) for adults with cochlear implants (CIs) in the Unites States. Method Clinical AR models utilized by hearing health care providers from nine clinics across the United States were discussed with regard to interprofessional AR practice patterns in the adult CI population. The clinical models were presented in the context of existing knowledge and gaps in the literature. Future directions were proposed for optimizing the provision of AR for the adult CI patient population. Findings/Conclusions There is a general agreement that AR is an integral part of hearing health care for adults with CIs. While the provision of AR is feasible in different clinical practice settings, service delivery models are variable across hearing health care professionals and settings. AR may include interprofessional collaboration among surgeons, audiologists, and speech-language pathologists with varying roles based on the characteristics of a particular setting. Despite various existing barriers, the clinical practice patterns identified here provide a starting point toward a more standard approach to comprehensive AR for adults with CIs.


Sign in / Sign up

Export Citation Format

Share Document