SlipSwap: Reduce the slippage that is incurred during the swap of tokens using Algorithmic analysis

The main purpose of this paper is the biomechanical analysis of the kinematic and dynamic indicators of sports technique used in Yurchenko handspring vault by means of the macro methods for exercises learning during the training basic specialization stage. This scientific approach led to the organization of an experimental study, using the research methods as follows: 1. Method of theoretical and methodological analysis of literature related to artistic gymnastics. 2. Method of evaluation of gymnastics exercises sports technique using the algorithmic analysis of the motion. 3. Video computerized method, using” Pinnacle Studio”,” Kinovea” and” Physics ToolKit” programs. 3. Method of movement postural orientation and evaluation of key elements of sports technique with complex coordination of movement structure. 4. Method of linear-branched programming of gymnastics exercises learning and improving. 5. Statistical method, by means of” KyPlot” program. The research was conducted from 2012 to 2014, when gymnasts’ performances were monitored in three national competitions - handspring vaults event; a number of 7 athletes aged 12 to 15 participated in these competitions, all of them members of junior national team of Romania. The results of the research highlighted and identified the kinematic and dynamic characteristics of sports technique key elements of Yurchenko vault in women’s artistic gymnastics. The implementation of the macro methods of learning in young gymnasts’ training contributed to the improvement of sports technique and the effective experimental distribution of the difficult and highly difficult basic vaults.

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Improvement of Sports Technique Based on Biomechanical Indicators of Yurchenko Handspring Vault in Women’s Artistic Gymnastics

European Journal of Interdisciplinary Studies ◽

10.26417/ejis.v3i1.42-52 ◽

2017 ◽

Vol 3 (1) ◽

pp. 42 ◽

Cited By ~ 1

Author(s):

Potop Vladimir ◽

Dorgan Viorel ◽

Jurat Valeriu

Keyword(s):

Biomechanical Analysis ◽

Experimental Distribution ◽

National Team ◽

Postural Orientation ◽

Scientific Approach ◽

Algorithmic Analysis ◽

Methods Of Learning ◽

Method Of Evaluation ◽

Complex Coordination ◽

Movement Structure

The main purpose of this paper is the biomechanical analysis of the kinematic and dynamic indicators of sports technique used in Yurchenko handspring vault by means of the macro methods for exercises learning during the training basic specialization stage. This scientific approach led to the organization of an experimental study, using the research methods as follows: 1. Method of theoretical and methodological analysis of literature related to artistic gymnastics. 2. Method of evaluation of gymnastics exercises sports technique using the algorithmic analysis of the motion. 3. Video computerized method, using” Pinnacle Studio”,” Kinovea” and” Physics ToolKit” programs. 3. Method of movement postural orientation and evaluation of key elements of sports technique with complex coordination of movement structure. 4. Method of linear-branched programming of gymnastics exercises learning and improving. 5. Statistical method, by means of” KyPlot” program. The research was conducted from 2012 to 2014, when gymnasts’ performances were monitored in three national competitions - handspring vaults event; a number of 7 athletes aged 12 to 15 participated in these competitions, all of them members of junior national team of Romania. The results of the research highlighted and identified the kinematic and dynamic characteristics of sports technique key elements of Yurchenko vault in women’s artistic gymnastics. The implementation of the macro methods of learning in young gymnasts’ training contributed to the improvement of sports technique and the effective experimental distribution of the difficult and highly difficult basic vaults.

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Multiprocessor transport surveillance video system based on "system on chip" technology

MORSKIE INTELLEKTUAL`NYE TEHNOLOGII ◽

10.37220/mit.2020.49.3.023 ◽

2020 ◽

Author(s):

Ш.С. Фахми ◽

Н.В. Шаталова ◽

В.В. Вислогузов ◽

Е.В. Костикова

Keyword(s):

System On Chip ◽

Reference Points ◽

Surveillance Video ◽

Video Information ◽

Chip Technology ◽

Intelligent Video Surveillance System ◽

Speed Up ◽

Algorithmic Analysis ◽

Computational Procedures ◽

On Chip

В данной работе предлагаются математический аппарат и архитектура многопроцессорной транспортной системы на кристалле (МПТСнК). Выполнена программно-аппаратная реализация интеллектуальной системы видеонаблюдения на базе технологии «система на кристалле» и с использованием аппаратного ускорителя известного метода формирования опорных векторов. Архитектура включает в себя сложно-функциональные блоки анализа видеоинформации на базе параллельных алгоритмов нахождения опорных точек изображений и множества элементарных процессоров для выполнения сложных вычислительных процедур алгоритмов анализа с использованием средств проектирования на базе реконфигурируемой системы на кристалле, позволяющей оценить количество аппаратных ресурсов. Предлагаемая архитектура МПТСнК позволяет ускорить обработку и анализ видеоинформации при решении задач обнаружения и распознавания чрезвычайных ситуаций и подозрительных поведений. In this paper, we propose the mathematical apparatus and architecture of a multiprocessor transport system on a chip (MPTSoC). Software and hardware implementation of an intelligent video surveillance system based on the "system on chip" technology and using a hardware accelerator of the well-known method of forming reference vectors. The architecture includes complex functional blocks for analyzing video information based on parallel algorithms for finding image reference points and a set of elementary processors for performing complex computational procedures for algorithmic analysis. using design tools based on a reconfigurable system on chip that allows you to estimate the amount of hardware resources. The proposed MPTSoC architecture makes it possible to speed up the processing and analysis of video information when solving problems of detecting and recognizing emergencies and suspicious behaviors

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Algorithmic Analysis of Social Behavior for Profiling, Ranking, and Assessment

SSRN Electronic Journal ◽

10.2139/ssrn.3454793 ◽

2019 ◽

Author(s):

Nizan Geslevich Packin ◽

Yafit Lev Aretz

Keyword(s):

Social Behavior ◽

Algorithmic Analysis

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Multibody Systems with Flexible Elements

Symmetry ◽

10.3390/sym13081359 ◽

2021 ◽

Vol 13 (8) ◽

pp. 1359

Author(s):

Marin Marin ◽

Dumitru Băleanu ◽

Sorin Vlase

Keyword(s):

Multibody Systems ◽

Computer Assisted ◽

Elastic Bodies ◽

Algorithmic Analysis

The formalism of multibody systems offers a means of computer-assisted algorithmic analysis and a means of simulating and optimizing an arbitrary movement of a possible high number of elastic bodies in the connection [...]

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Recorded Business Meetings and AI Algorithmic Tools: Negotiating Privacy Concerns, Psychological Safety, and Control

International Journal of Business Communication ◽

10.1177/23294884211037009 ◽

2021 ◽

pp. 232948842110370

Author(s):

Peter W. Cardon ◽

Haibing Ma ◽

Carolin Fleischmann

Keyword(s):

Social Contract ◽

Data Privacy ◽

Psychological Safety ◽

Two Dimensions ◽

Management Control ◽

Privacy Concerns ◽

Business Meetings ◽

Control Versus ◽

Algorithmic Analysis ◽

And Control

Artificial intelligence (AI) algorithmic tools that analyze and evaluate recorded meeting data may provide many new opportunities for employees, teams, and organizations. Yet, these new and emerging AI tools raise a variety of issues related to privacy, psychological safety, and control. Based on in-depth interviews with 50 American, Chinese, and German employees, this research identified five key tensions related to algorithmic analysis of recorded meetings: employee control of data versus management control of data, privacy versus transparency, reduced psychological safety versus enhanced psychological safety, learning versus evaluation, and trust in AI versus trust in people. More broadly, these tensions reflect two dimensions to inform organizational policymaking and guidelines: safety versus risk and employee control versus management control. Based on a quadrant configuration of these dimensions, we propose the following approaches to managing algorithmic applications to recording meeting data: the surveillance, benevolent control, meritocratic, and social contract approaches. We suggest the social contract approach facilitates the most robust dialog about the application of algorithmic tools to recorded meeting data, potentially leading to higher employee control and sense of safety.

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Poetic Operations

10.1215/9781478022275 ◽

2021 ◽

Author(s):

micha cárdenas

Keyword(s):

Digital Media ◽

Women Of Color ◽

Music Videos ◽

Artistic Practice ◽

Queer Of Color Critique ◽

Complex Processes ◽

Decolonial Theory ◽

Queer Of Color ◽

Algorithmic Analysis ◽

And Gender

In Poetic Operations artist and theorist micha cárdenas considers contemporary digital media, artwork, and poetry in order to articulate trans of color strategies for safety and survival. Drawing on decolonial theory, women of color feminism, media theory, and queer of color critique, cárdenas develops a method she calls algorithmic analysis. Understanding algorithms as sets of instructions designed to perform specific tasks (like a recipe), she breaks them into their component parts, called operations. By focusing on these operations, cárdenas identifies how trans and gender-non-conforming artists, especially artists of color, rewrite algorithms to counter violence and develop strategies for liberation. In her analyses of Giuseppe Campuzano's holographic art, Esdras Parra's and Kai Cheng Thom's poetry, Mattie Brice's digital games, Janelle Monáe's music videos, and her own artistic practice, cárdenas shows how algorithmic analysis provides new modes of understanding the complex processes of identity and oppression and the intersection of gender, sexuality, and race.

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Algorithmic Analysis of Automatic Attendance System using Facial Recognition

International Journal of Decision Support System Technology ◽

10.4018/ijdsst.286688 ◽

2022 ◽

Vol 14 (1) ◽

pp. 0-0

Keyword(s):

Face Recognition ◽

Daily Life ◽

Real Life ◽

Student Attendance ◽

Surveillance Camera ◽

Daily Life Activities ◽

The Face ◽

Algorithmic Analysis ◽

Human Faces ◽

Face Biometrics

Attendance management can become a tedious task for teachers if it is performed manually.. This problem can be solved with the help of an automatic attendance management system. But validation is one of the main issues in the system. Generally, biometrics are used in the smart automatic attendance system. Managing attendance with the help of face recognition is one of the biometric methods with better efficiency as compared to others. Smart Attendance with the help of instant face recognition is a real-life solution that helps in handling daily life activities and maintaining a student attendance system. Face recognition-based attendance system uses face biometrics which is based on high resolution monitor video and other technologies to recognize the face of the student. In project, the system will be able to find and recognize human faces fast and accurately with the help of images or videos that will be captured through a surveillance camera. It will convert the frames of the video into images so that our system can easily search that image in the attendance database.

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