scholarly journals Automatic Registration of Footsteps in Contact Regions for Reactive Agility Training in Sports

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1709
Author(s):  
Eduardo C. Latorre ◽  
Marcos D. Zuniga ◽  
Enrique Arriaza ◽  
Fabian Moya ◽  
Christopher Nikulin
Keyword(s):  
Data Gathering ◽  
Detection Algorithm ◽  
Automatic Registration ◽  
Perspective Geometry ◽  
Training Approach ◽  
Reactive Agility ◽  
Relevant Variables ◽  
Training Methodologies ◽  
The Moment ◽  
Player Performance

In collective sports, reactive agility training methodologies allow to evaluate and improve the player performance, being able to consider a mixture of technical, tactical, physical, and psychological abilities, similarly to real game-play situations. In this article, we present a new methodology for reactive agility training (neural training), the technological setup for the methodology, and a new footstep tracking algorithm, as the key element for automating the speed data gathering process, necessary for obtaining the relevant variables of the neural training approach. This new methodology is oriented to accurately measure two of the most relevant variables for reactive agility training: total response time (sprint time) and response correctness, related to a stimuli sequence presented to a player. The stimuli were designed to properly represent realistic competitive conditions for player training, contextualized to soccer. In order to automate the gathering process, a new computer vision based automatic footstep detection algorithm has been integrated to the system. The algorithm combines Kalman Filters, segmentation techniques, and perspective geometry, for obtaining highly precise detections of the moment a relevant footstep occurs in real-time, reaching a precision higher than 97%. Plus, the algorithm does not require any special marker, invasive sensor, or clothing constraint on the player.

scholarly journals STABILIZATION OF SENTINEL-1 SAR TIME-SERIES USING CLIMATE AND FOREST STRUCTURE DATA FOR EARLY TROPICAL DEFORESTATION DETECTION

2020 ◽  
Vol V-3-2020 ◽  
pp. 89-96
Author(s):  
J. Doblas ◽  
A. Carneiro ◽  
Y. Shimabukuro ◽  
S. Sant’Anna ◽  
L. Aragão ◽  
...  
Keyword(s):  
Time Series ◽  
Forest Structure ◽  
Detection Algorithm ◽  
Structure Information ◽  
Detection Algorithms ◽  
Alternative State ◽  
Level Data ◽  
Relevant Variables ◽  
Long Time ◽  
Omission Errors

Abstract. In this study we analyse the factors of variability of Sentinel-1 C-band radar backscattering over tropical rainforests, and propose a method to reduce the effects of this variability on deforestation detection algorithms. To do so, we developed a random forest regression model that relates Sentinel-1 gamma nought values with local climatological data and forest structure information. The model was trained using long time-series of 26 relevant variables, sampled over 6 undisturbed tropical forests areas. The resulting model explained 71.64% and 73.28% of the SAR signal variability for VV and VH polarizations, respectively. Once the best model for every polarization was selected, it was used to stabilize extracted pixel-level data of forested and non-deforested areas, which resulted on a 10 to 14% reduction of time-series variability, in terms of standard deviation. Then a statistically robust deforestation detection algorithm was applied to the stabilized time-series. The results show that the proposed method reduced the rate of false positives on both polarizations, especially on VV (from 21% to 2%, α=0.01). Meanwhile, the omission errors increased on both polarizations (from 27% to 37% in VV and from 27% to 33% on VV, α=0.01). The proposed method yielded slightly better results when compared with an alternative state-of-the-art approach (spatial normalization).

scholarly journals Detection of Incoherent Signal In Molecular Communication Based on Channel Impulse Response

2021 ◽  
Vol 2136 (1) ◽  
pp. 012039
Author(s):  
Shanchao Wen
Keyword(s):  
Impulse Response ◽  
Background Noise ◽  
Molecular Diffusion ◽  
Detection Algorithm ◽  
Channel Impulse Response ◽  
Molecular Communication ◽  
Computing Power ◽  
Traditional Scheme ◽  
Molecular Signal ◽  
The Moment

Abstract In order to solve the problem of intercode interference (ISI) and background noise caused by molecular diffusion in molecular communication, Honda analyzed and studied four methods to resist ISI signal, and analyzed the characteristics of the received signal at the moment. A reliable incoherent molecular signal detection algorithm independent of channel impulse response (CIR) is proposed, and an adaptive threshold calculation method is designed, and the theoretical value of bit error rate (BER) is given. The simulation results show that the proposed scheme BER is lower than the traditional scheme BER under the same computational complexity, so it has a wide application prospect in the nanoscale molecular communication system with limited computing power.

Determination of tonal signal parameters based on zero crossing detection

2021 ◽  
Vol 263 (5) ◽  
pp. 1794-1803
Author(s):  
Michal Luczynski ◽  
Stefan Brachmanski ◽  
Andrzej Dobrucki
Keyword(s):  
High Efficiency ◽  
Detection Algorithm ◽  
Sine Wave ◽  
Time Interval ◽  
Zero Crossing ◽  
Tonal Signal ◽  
Zero Crossings ◽  
Tonal Component ◽  
Signal Parameters ◽  
The Moment

This paper presents a method for identifying tonal signal parameters using zero crossing detection. The signal parameters: frequency, amplitude and phase can change slowly in time. The described method allows to obtain accurate detection using possibly small number of signal samples. The detection algorithm consists of the following steps: frequency filtering, zero crossing detection and parameter reading. Filtering of the input signal is aimed at obtaining a signal consisting of a single tonal component. Zero crossing detection allows the elimination of multiple random zero crossings, which do not occur in a pure sine wave signal. The frequency is based on the frequency of transitions through zero, the amplitude is the largest value of the signal in the analysed time interval, and the initial phase is derived from the moment at which the transition through zero occurs. The obtained parameters were used to synthesise a compensation signal in an active tonal component reduction algorithm. The results of the algorithm confirmed the high efficiency of the method.

scholarly journals The Six Ways to Well-Being (6W-WeB): Assessing the Frequency of and Motivation for Six Behaviours Linked to Well-Being

2019 ◽  
Author(s):  
Geetanjali Basarkod ◽  
Baljinder K. Sahdra ◽  
Nic Hooper ◽  
Joseph Ciarrochi
Keyword(s):  
Psychological Distress ◽  
Experiential Avoidance ◽  
Well Being ◽  
Behavioural Science ◽  
Female Age ◽  
Internal States ◽  
Adolescent Sample ◽  
Relevant Variables ◽  
The Moment ◽  
Personal Strivings

Contextual Behavioural Science (CBS) interventions focus on activating value-consistent behaviours, yet the outcomes measured in these interventions often focus on internal states. Building on past CBS work, personal strivings research, and self-determination theory, we developed a new behaviour-focused measure of valued action, the Six Ways to Well-Being (6W-WeB). This measure captures both the specific actions individuals engage in as well as why they do so (i.e., underlying values). Participants in Study 1 (American sample; N1 = 1800, 60.3% female, Age: M = 40.9, SD = 13.21), Study 2 (Australian sample; N2 = 855, 47.3% female, Age: M = 38.16, SD = 13.35), and Study 3 (Australian adolescent sample; N3 = 518, 100% female, Age: M = 14.29, SD = 1.46) completed the 6W-WeB and theoretically-relevant criterion measures of flourishing, psychological distress, experiential avoidance, and nonattachment. Confirmatory factor analysis supported a bifactor model, with three global factors (behaviour engagement, activity importance, and activity pressure), and six behaviour-specific factors (connecting with others, challenging oneself, giving to others, engaging in physical activity, embracing the moment, and caring for oneself), that was invariant across gender, age, and country of sampling. The subscales of the 6W-WeB were linked to the theoretically-relevant variables in meaningful and expected ways. Additionally, in a test of known-groups validity, the 6W-WeB successfully differentiated between participants who met criteria for high psychological distress and those who did not. The results suggest that the new measure can be a clinically relevant tool, helping CBS practitioners identify the specific behaviour domains that can promote their clients’ value-consistent living.

scholarly journals Efficient Resource Allocation in Hybrid Wireless Networks Increase the Capacity

2021 ◽  
pp. 41-48
Author(s):  
B. Senbagappriya ◽  
S. S. Dhenakaran
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Data Gathering ◽  
Gain Control ◽  
Special Kind ◽  
Detection Algorithm ◽  
Wireless Sensor ◽  
Network Efficiency ◽  
Key Predistribution ◽  
Good Neighbor

In many wireless sensor network (WSN) the Mobile sinks(MSs) are very essential applications for efficient data gathering, restricted sensor reprogramming, and for distinguishing and revoking compromised sensors. The sensor network that formulate use of the existing 2-tier security structure, elevate a new protection challenge i.e an attacker can easily create a replicated node and can gain control of the data in the network. This project describes a polynomial pool based approach hybrid three-tier general framework that permits the use of any pairwise key predistribution scheme as its basic component. In this technique we implement a special kind of sensor node, which is called as polynomial pool. This sensor node not the part of actual communication. Polynomial pool checks all key of that intruder node and if key matches it allowed that node into network otherwise throwaway from the network. In this project we implemented a new technique with an algorithm named GNDA Good Node Detection Algorithm Based Approach technique with Wireless Sensor Networks. As we all know that, secured files are easily hacked by attacked by they are using several software. In my project the main aim is to avoid this kind of attackers & also increase the capacity by sending by files. Propose a Hybrid Distributed Three-hop Data Routing protocol (HDTR). HDTR protocol improves the Network efficiency and reduces the Overhead. This will also identify the good neighbor node to transfer the data.

scholarly journals A IGNORÂNCIA INTOLERANTE NÃO COMPREENDE ARTE

2019 ◽  
Vol 1 ◽  
pp. 289
Author(s):  
Leonardo Marques Kussler
Keyword(s):  
Contemporary Art ◽  
Cultural Production ◽  
Point Of View ◽  
Philosophy Of Art ◽  
Theoretical Contribution ◽  
The Social ◽  
De Se ◽  
Artistic Interpretation ◽  
Relevant Variables ◽  
The Moment

A compreensão artística é restrita por elementos sociais, econômicos, históricos e existenciais de cada sujeito. Consequentemente, no momento de abertura deste para interpretação artística, há um jogo de inúmeras variáveis que permitem ou não que se consiga compreender o discurso da arte. Neste artigo, na primeira seção, propomo-nos a desdobrar conceitualmente a noção de jogo, do ponto de vista filosófico, unindo-o à hermenêutica filosófica gadameriana e a necessidade de se adentrar no que convencionamos chamar de estádio de jogo para que seja possível refletir dialogicamente sobre a arte. Na segunda seção, a proposta é refletir acerca de como se compreende arte, a partir de releituras dos campos da Estética e da Filosofia da Arte, especialmente após a virada da arte contemporânea. Juntamente com o aporte teórico de Arthur C. Danto, abordaremos alguns elementos básicos de variáveis relevantes para se considerar algo como arte ou não e a intolerância de segmentos sociais que degradam a produção cultural por ignorância e incapacidade de entrar no jogo da arte contemporâneo.Palavras-chave: Filosofia. Arte. Jogo.ABSTRACTArt understanding is something restricted by the social, economic, historical and existential elements of each subject. Consequently, in the moment of its opening for artistic interpretation, there is a game of several variables that allow or not to be able to understand the discourse of art. In this article, in the first section, we propose to unfold conceptually the notion of game from the philosophical point of view, joining it to the Gadamerian philosophical hermeneutics and the need to delve into what we call the game stadium so that it is possible to reflect dialogically about art. In the second section, the proposal is to ponder on how art is understood from re-reading the fields of Aesthetics and Philosophy of Art, especially after the turn of contemporary art. Along with the theoretical contribution of Arthur C. Danto, we will address some basic elements of relevant variables to consider something as art or not and the intolerance of social groups that degrade cultural production through ignorance and inability to enter the contemporary art game.Keywords: Philosophy. Art. Game.

scholarly journals A Review of Groundwater Management Models with a Focus on IoT-Based Systems

2021 ◽  
Author(s):  
Banjo Aderemi ◽  
Thomas Otieno Olwal ◽  
Julius Musyoka Ndambuki ◽  
Sophia Sudi Rwanga
Keyword(s):  
Groundwater Management ◽  
Distributed Storage ◽  
Groundwater Resources ◽  
Data Gathering ◽  
Land Usage ◽  
Management Models ◽  
Management Objectives ◽  
Efficient Data ◽  
The Moment ◽  
The Internet Of Things

Globally, groundwater is the largest distributed storage of freshwater and plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often change as a result of land usage, abstraction, as well as variation in climate. To solve these challenges, many conventional solutions, such as certain numerical techniques, have been proffered for groundwater modelling. The global evolution of the Internet of Things (IoT) has enhanced the culture of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. At the moment, some studies in the literature reveal that groundwater managers lack an efficient and real-time groundwater management system that is needed to gather the required data. Additionally, the literature reveals that the existing methods of collecting data lack the required efficiency to meet computational model requirements and meet management objectives. Unlike previous surveys, which solely focussed on particular groundwater issues related to simulation and optimisation management methods, this paper seeks to highlight the current groundwater management models as well as the IoT contributions.

Sustainability of “Vetëvendosje” Movement in the Political Sphere

2015 ◽  
Vol 5 (1) ◽  
pp. 311
Author(s):  
Orges Zani
Keyword(s):  
Social Movement ◽  
Political System ◽  
Data Gathering ◽  
Constructivist Theory ◽  
The Political ◽  
National Union ◽  
Political Sovereignty ◽  
Political Program ◽  
Social Movement Framing ◽  
The Moment

This paper aims to analyze how “Vetëvendosja” movement has preserved its legitimacy since its creation and its actions, firstly as a movement and now as a political representative within the political system. Based on the analytical model of Constructivist Theory, Social Movement Framing Theory, data gathering and elaboration from interviews done to Albin Kurti as the first leader of this movement, The Ahtisaari’s plan, the political program and different public discourses, this paper will create a clearer research picture on this topic. This movement, born to contradict categorically and systematically the Ahtisaari’s Plan that stressed out the judicial, military and political sovereignty under the international protectorate, developed more and gain strength thanks to the thesis of national union. It organized a number of protests that caused the murder of a number of supporters and the imprisonment of the leader from the international forces. These new conditions led to the creation and put into action a number of strategies and techniques that brought the institutionalization of the movement within the political system as a political and parliamentary representative. In contrast with other movements who lost their legitimacy in the moment they entered the political system, this paper analyses how the “Vetëvendosja” movement managed to preserve its legitimacy, in both positions, in and out the political system.

scholarly journals Measuring Sustainable Entrepreneurship and Eco-Innovation: A Methodological Proposal for the Global Entrepreneurship Monitor (GEM)

2021 ◽  
Vol 13 (7) ◽  
pp. 4056
Author(s):  
Muhammad Azam Roomi ◽  
José Manuel Saiz-Alvarez ◽  
Alicia Coduras
Keyword(s):  
Sustainable Development ◽  
Social Indicators ◽  
Data Gathering ◽  
Entrepreneurial Success ◽  
Global Entrepreneurship Monitor ◽  
Sustainable Entrepreneurship ◽  
Relevant Variables ◽  
Development Goals ◽  
Global Entrepreneurship ◽  
The Relationship

After the UN’s adoption of 17 Sustainable Development Goals in 2015, it became clear that the relationship between sustainability and entrepreneurship was an area for re-examination. Traditional measures of entrepreneurial success rested largely on economic indicators; observatories like the Global Entrepreneurship Monitor (GEM) extended them, including cultural and social indicators. There is now a real need to measure and analyze the relationship between sustainable entrepreneurship and eco-innovation and drive positive economic activity outcomes, sustainable development, and social welfare. For GEM’s consideration, this paper proposes a reimagined tool by which to measure sustainable entrepreneurship and eco-innovation in businesses and assess their level of alignment with UN SDGs. Specifically, it presents a new measurement method, incorporating, but simplifying, a complex range of variables, which can be crystallized into a set of items (questions) to determine businesses’ commitment to entrepreneurship sustainability—social, economic, and environmental. The results can be cross-referenced with other relevant variables, and indicators proposed by the UN, to determine what causal or explanatory relationships might or might not exist. The proposal represents a valuable extension to existing data gathering tools, and will be of use to researchers and practitioners in the field of entrepreneurship—especially as its sustainability credentials and environmental impact are in the spotlight.

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