scholarly journals Advancement in Physical Education Teaching Using Improved Energy Efficient Scalable Routing Algorithm-Based Wireless Network

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Rui Xue ◽  
Hokun Yi
Keyword(s):  
Physical Education ◽  
Wireless Network ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
The Body ◽  
Wireless Internet ◽  
Scale Invariant ◽  
Innovative Teaching ◽  
Scalable Routing ◽  
Study Hall

Physical education (PE) is a crucial topic in higher coaching that individually points motor abilities in health-enhancing activities. Conventional PE in institutions struggles to pique graduates’ attentiveness in sports, proceeding in low task involvements rates, and incapacity to exercise the body. Innovative teaching concepts and methodologies, coaching techniques and procedures, and coaching assessment techniques in physical education are all accompanied to developing the physical education study hall climate and successfully boosting physical education efficacy. Each element of regular living, especially education, is being influenced by wireless internet innovations. We will provide extra help to students by predicting academic endurance or dropout. We can improve the wireless platform’s potential utility in sports applications and change the character of PE, including visualization and repetition by incorporating it into PE teaching. Based on the concept of wireless network technology, this paper proposes an Improved Energy Efficient Scalable Routing Algorithm (IEESRA) for physical education advancement. Initially, the physical education dataset is preprocessed using normalization. The aspects are removed using the scale-invariant feature transform (SIFT) method. The data is transferred using a wireless network using Improved Energy Efficient Scalable Routing Algorithm (IEESRA). The classification is done using random forest (RF) classifier. The results of the analysis reveal that wireless network-based PE may increase graduates’ strength, speed, and qualities providing a more important reference and reference for enhancing the success of PE. The proposed strategy has the potential to enhance actual attention to PE teaching to 90% with raising students’ engagement to 70%.

The effectiveness of physical education teaching in college based on Artificial intelligence methods

2020 ◽  
pp. 1-11
Author(s):  
Zihao Li ◽  
Hejin Wang
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Rapid Development ◽  
Participation Rate ◽  
Colleges And Universities ◽  
The Body ◽  
Current Status ◽  
Innovative Teaching ◽  
Artificial Intelligence Technology ◽  
Low Activity

Traditional physical education in colleges and universities is difficult to arouse students’ interest in sports, resulting in low activity participation rate and inability to exercise the body. How to effectively improve the effectiveness of physical education in colleges and universities has become one of the hot topics of most concern from all walks of life. In physical education, innovative teaching concepts and methods, teaching methods and processes, and teaching evaluation methods are all conducive to improving the classroom atmosphere of physical education and successfully improve the effectiveness of physical education. This article focuses on analyzing the current status of physical education in colleges and universities. Based on the rapid development of artificial intelligence technology, how to improve the effectiveness of physical education is studied, and an experimental method is used to compare and analyze physical education in a college. The analysis results show that artificial intelligence-based physical education can obviously improve students’ strength quality, speed quality, endurance quality, and agility quality, which provides a more important reference and reference for improving the effectiveness of college physical education.

scholarly journals EESRA: Energy Efficient Scalable Routing Algorithm for Wireless Sensor Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 96974-96983 ◽  
Author(s):  
Eyman Fathelrhman Ahmed Elsmany ◽  
Mohd Adib Omar ◽  
Tat-Chee Wan ◽  
Altahir Abdalla Altahir
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Scalable Routing

An energy-efficient partition-based XYZ-planar routing algorithm for a wireless network-on-chip

2018 ◽  
Vol 75 (2) ◽  
pp. 837-861 ◽  
Author(s):  
Fahimeh Yazdanpanah ◽  
Raheel AfsharMazayejani ◽  
Mohammad Alaei ◽  
Amin Rezaei ◽  
Masoud Daneshtalab
Keyword(s):  
Wireless Network ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Network On Chip ◽  
On Chip

scholarly journals Energy-Efficient Multi-User Routing in a Software-Defined Multi-Hop Wireless Network

2019 ◽  
Vol 11 (6) ◽  
pp. 133 ◽  
Author(s):  
Ziqi Liu ◽  
Gaochao Xu ◽  
Peng Liu ◽  
Xiaodong Fu ◽  
Yang Liu
Keyword(s):  
Genetic Algorithm ◽  
Wireless Network ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Optimal Solution ◽  
Global Routing ◽  
Improved Genetic Algorithm ◽  
Efficient Management ◽  
Routing Strategy ◽  
Combined Algorithm

Software-defined networking (SDN) is an innovative architecture that designs a logical controller to manage and program the network based on the global view, providing more efficient management, better performance, and higher flexibility for the network. Therefore, applying the SDN concept in a multi-hop wireless network (MWN) has been proposed and extensively studied to overcome the challenges of MWN. In this paper, we propose an energy-efficient global routing algorithm for a software-defined multi-hop wireless network (SDMWN), which is able to get transmission paths for several users at the same time to minimize the global energy consumption with the premise of satisfying the QoS required by users. To this end, we firstly propose a Lagrange relaxation-based aggregated cost (LARAC) and K-Dijkstra combined algorithm to get the top K energy-minimum paths that satisfy the QoS in polynomial time. Then, we combine the alternative paths of each user obtained by K-LARAC and propose an improved genetic algorithm to solve the global routing strategy. The simulation results show that the proposed K-LARAC and genetic algorithm combined method has the ability to obtain an approximate optimal solution with lower time cost.

МЕКТЕП ЖАШЫНА ЧЕЙИНКИ БАЛДАРДЫН ДЕН СООЛУГУН ЧЫҢДООДО ОЮН ТЕХНОЛОГИЯСЫН КОЛДОНУУ

2020 ◽  
pp. 158-160
Author(s):  
Салтанат Кошалиева
Keyword(s):  
Physical Education ◽  
Preschool Education ◽  
Speech Development ◽  
The Body ◽  
Preschool Age ◽  
Theory And Practice ◽  
Main Task ◽  
Physical And Mental Health ◽  
School Students ◽  
Number Of Children

Аннотация: Бул макалада мектеп жашына чейинки балдардын ден соолугун чыңдоодо оюн технологиясын пайдалануунун өзгөчөлүктөрү талкууланат. Метепке чейинки курак баланын дене-бой жана психикалык ден соолугунун пайдубалын түптөөнүн чечүүчү этабы болуп саналат. Бул мезгилде органдардын ургаалдуу өнүгүшү жана организмдин функциялык системасынын калыптанышы жүрүүдө. Акыркы жылдары мектепке чейинки балдардын ден соолугунун начарлаганы туруктуу тенденцияга айланып, оорулуу балдардын саны көбөйүүдө. Мектеп жашына чейинки балдардын психикалык жана сүйлөө жөндөмдөрүн оюн аркылуу жакшыртып, жаңы механизмдерин иштеп чыгуу жагы каралган. Бала бакчанын негизги милдети - баланы өз алдынча жашоого даярдоо, жакшы адаттарга багыттоо менен тарбиялоо иши макалада каралган. Түйүндүү сөздөр: Ден соолук, бала бакчада, дене тарбия, элдик оюндар, тарбиялоо, ден соолукту чыңдоо, иш пландар, жаш муундар, коюлган талаптар, педагогикалык шарттар. Аннотация: В данной статье рассматриваются особенности использования игровых технологий в оздоровлении дошкольников. Дошкольный возраст является решающим этапом в формировании фундамента физического и психического здоровья ребенка. В этот период идет интенсивное развитие органов и становление функциональных систем организма. Наметившаяся в последние годы устойчивая тенденция ухудшения здоровья дошкольников, увеличение количества детей с нарушениями психического и речевого развития, диктует необходимость поиска механизмов, позволяющая изменить эту ситуацию. Основная задача детского сада - подготовить ребенка к самостоятельной жизни, дав ему для этого необходимые умения, навыки, воспитав определенные привычки. Сегодня в дошкольных учреждениях уделяется большое внимание здоровье сберегающим технологиям, которые направлены на решение самой главной задачидошкольного образования – сохранить, поддержать и обогатить здоровье детей. Ключевые слова: Здоровье, детский сад, физическое воспитание, народные подвижные игры, физические упражнения, общеобразовательная школа, учащиеся, воспитание, оздоровление, подрастающее поколение, предъявляемые требования, педагогические условия, теория и практика физического воспитания, подвижные игры. Abstract: This article discusses the features of the use of game technologies in the rehabilitation of preschoolers. Preschool age is a crucial stage in the formation of the Foundation of physical and mental health of the child. During this period there is an intensive development of organs and the formation of functional systems of the body. The steady tendency of deterioration of health of preschool children outlined in recent years, increase in number of children with violations of mental and speech development, dictates need of search of the mechanisms allowing to change this situation. The main task of the kindergarten is to prepare the child for independent life, giving him the necessary skills, bringing up certain habits. Today, preschool institutions pay great attention to health-saving technologies, which are aimed at solving the most important task of preschool education – to preserve, support and enrich the health of children. Key words: Health, kindergarten, physical education, folk outdoor games, physical exercises, secondary school, students, education, rehabilitation, the younger generation, the requirements, pedagogical conditions, theory and practice of physical education, out-door games.

Energy Efficient Clustering and Routing Algorithm for WSN

2019 ◽  
Vol 12 ◽  
Author(s):  
Mohit Kumar ◽  
Sonu Mittal ◽  
Md. Amir Khusru Akhtar
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Hot Spot ◽  
Routing Algorithm ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Clustering ◽  
Hot Spot Problem

Background: This paper presents a novel Energy Efficient Clustering and Routing Algorithm (EECRA) for WSN. It is a clustering-based algorithm that minimizes energy dissipation in wireless sensor networks. The proposed algorithm takes into consideration energy conservation of the nodes through its inherent architecture and load balancing technique. In the proposed algorithm the role of inter-cluster transmission is not performed by gateways instead a chosen member node of respective cluster is responsible for data forwarding to another cluster or directly to the sink. Our algorithm eases out the load of the gateways by distributing the transmission load among chosen sensor node which acts as a relay node for inter-cluster communication for that round. Grievous simulations show that EECRA is better than PBCA and other algorithms in terms of energy consumption per round and network lifetime. Objective: The objective of this research lies in its inherent architecture and load balancing technique. The sole purpose of this clustering-based algorithm is that it minimizes energy dissipation in wireless sensor networks. Method: This algorithm is tested with 100 sensor nodes and 10 gateways deployed in the target area of 300m × 300m. The round assumed in this simulation is same as in LEACH. The performance metrics used for comparisons are (a) network lifetime of gateways and (b) energy consumption per round by gateways. Our algorithm gives superior result compared to LBC, EELBCA and PBCA. Fig 6 and Fig 7 shows the comparison between the algorithms. Results: The simulation was performed on MATLAB version R2012b. The performance of EECRA is compared with some existing algorithms like PBCA, EELBCA and LBCA. The comparative analysis shows that the proposed algorithm outperforms the other existing algorithms in terms of network lifetime and energy consumption. Conclusion: The novelty of this algorithm lies in the fact that the gateways are not responsible for inter-cluster forwarding, instead some sensor nodes are chosen in every cluster based on some cost function and they act as a relay node for data forwarding. Note the algorithm does not address the hot-spot problem. Our next endeavor will be to design an algorithm with consideration of hot-spot problem.

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