{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T20:53:23Z","timestamp":1775508803553,"version":"3.50.1"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T00:00:00Z","timestamp":1620691200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T00:00:00Z","timestamp":1620691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Syst Assur Eng Manag"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s13198-021-01134-7","type":"journal-article","created":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T18:02:37Z","timestamp":1620756157000},"page":"844-852","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Applying edge computing to analyse path planning algorithm in college football training"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0590-0027","authenticated-orcid":false,"given":"Chao","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,11]]},"reference":[{"issue":"2","key":"1134_CR1","doi-asserted-by":"publisher","first-page":"65","DOI":"10.4031\/MTSJ.53.2.7","volume":"53","author":"P Chen","year":"2019","unstructured":"Chen P, Shen P, Zhang P et al (2019a) Path planning of underwater terrain-aided navigation based on improved artificial potential field method. Mar Technol Soc J 53(2):65\u201374","journal-title":"Mar Technol Soc J"},{"issue":"1","key":"1134_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13673-019-0164-y","volume":"9","author":"T Chen","year":"2019","unstructured":"Chen T, Shi J, Yang J et al (2019b) Enhancing network cluster synchronization capability based on artificial immune algorithm. Hum-centric Comput Inf Sci 9(1):1\u201328","journal-title":"Hum-centric Comput Inf Sci"},{"issue":"3","key":"1134_CR3","doi-asserted-by":"publisher","first-page":"779","DOI":"10.3390\/s21030779","volume":"21","author":"S Chen","year":"2021","unstructured":"Chen S, Li Q, Zhou M et al (2021) Recent advances in collaborative scheduling of computing tasks in an edge computing paradigm. Sensors 21(3):779","journal-title":"Sensors"},{"key":"1134_CR4","doi-asserted-by":"publisher","first-page":"127681","DOI":"10.1016\/j.foodchem.2020.127681","volume":"335","author":"AA Dadvar","year":"2021","unstructured":"Dadvar AA, Vahidi J, Hajizadeh Z et al (2021) Experimental study on classical and metaheuristics algorithms for optimal nano-chitosan concentration selection in surface coating and food packaging. Food Chem 335:127681","journal-title":"Food Chem"},{"key":"1134_CR5","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.neucom.2020.07.004","volume":"414","author":"H Ding","year":"2020","unstructured":"Ding H, Gu X (2020) Hybrid of human learning optimization algorithm and particle swarm optimization algorithm with scheduling strategies for the flexible job-shop scheduling problem - ScienceDirect. Neurocomputing 414:313\u2013332","journal-title":"Neurocomputing"},{"issue":"3","key":"1134_CR6","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/MNET.2018.1700286","volume":"32","author":"S Garg","year":"2018","unstructured":"Garg S, Singh A, Batra S et al (2018) UAV-empowered edge computing environment for cyber-threat detection in smart vehicles. IEEE Netw 32(3):42\u201351","journal-title":"IEEE Netw"},{"key":"1134_CR7","first-page":"92363","volume":"8","author":"X Han","year":"2020","unstructured":"Han X, Xu Q, Yue L et al (2020) An improved crow search algorithm based on spiral search mechanism for solving numerical and engineering optimization problems. IEEE Access 8:92363\u201392382","journal-title":"IEEE Access"},{"key":"1134_CR8","doi-asserted-by":"publisher","first-page":"103249","DOI":"10.1016\/j.engappai.2019.103249","volume":"87","author":"V Hayyolalam","year":"2020","unstructured":"Hayyolalam V, Kazem AAP (2020) Black widow optimization algorithm: a novel meta-heuristic approach for solving engineering optimization problems. Eng Appl Artif Intell 87:103249","journal-title":"Eng Appl Artif Intell"},{"key":"1134_CR9","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1016\/j.future.2018.08.006","volume":"90","author":"L Hu","year":"2019","unstructured":"Hu L, Miao Y, Wu G et al (2019) iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing. Futur Gener Comput Syst 90:569\u2013577","journal-title":"Futur Gener Comput Syst"},{"issue":"6","key":"1134_CR10","doi-asserted-by":"publisher","first-page":"2087","DOI":"10.3390\/ijerph17062087","volume":"17","author":"E Imperlini","year":"2020","unstructured":"Imperlini E, Mancini A, Orr\u00f9 S et al (2020) Long-term recreational football training and health in aging. Int J Environ Res Public Health 17(6):2087","journal-title":"Int J Environ Res Public Health"},{"issue":"1","key":"1134_CR11","doi-asserted-by":"publisher","first-page":"012014","DOI":"10.1088\/1742-6596\/1621\/1\/012014","volume":"1621","author":"Y Jiang","year":"2020","unstructured":"Jiang Y, Wang S, Lei L (2020) A multi-UAV formation maintaining method based on formation reference point. J Phys Conf Ser 1621(1):012014","journal-title":"J Phys Conf Ser"},{"issue":"1","key":"1134_CR12","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1177\/0363546518756328","volume":"46","author":"JT Johnston","year":"2018","unstructured":"Johnston JT, Mandelbaum BR, Schub D et al (2018) Video analysis of anterior cruciate ligament tears in professional american football athletes. Am J Sports Med 46(1):862","journal-title":"Am J Sports Med"},{"issue":"3","key":"1134_CR13","doi-asserted-by":"publisher","first-page":"236","DOI":"10.3103\/S0146411619030064","volume":"53","author":"X Li","year":"2019","unstructured":"Li X, Yu D (2019) Study on an optimal path planning for a robot based on an improved ANT colony algorithm. Autom Control Comput Sci 53(3):236\u2013243","journal-title":"Autom Control Comput Sci"},{"issue":"3","key":"1134_CR14","first-page":"1","volume":"35","author":"J Liao","year":"2018","unstructured":"Liao J (2018) Research on PAGV path planning based on artificial immune ant colony fusion algorithm. J Intell Fuzzy Syst 35(3):1\u20136","journal-title":"J Intell Fuzzy Syst"},{"issue":"73","key":"1134_CR15","doi-asserted-by":"publisher","first-page":"4254","DOI":"10.1109\/TII.2019.2905659","volume":"15","author":"B Lin","year":"2019","unstructured":"Lin B, Zhu F, Zhang J et al (2019) A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing. IEEE Trans Ind Inf 15(73):4254\u20134265","journal-title":"IEEE Trans Ind Inf"},{"issue":"4","key":"1134_CR16","first-page":"289","volume":"15","author":"PE Mcsharry","year":"2020","unstructured":"Mcsharry PE (2020) Effect of altitude on football performance. BMJ 15(4):289\u2013298","journal-title":"BMJ"},{"issue":"1","key":"1134_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1504\/IJSI.2020.106388","volume":"5","author":"M Neshat","year":"2020","unstructured":"Neshat M, Pourahmad AA, Rohani Z (2020) Improving the cooperation of fuzzy simplified memory A* search and particle swarm optimisation for path planning. Int J Swarm Intell 5(1):1","journal-title":"Int J Swarm Intell"},{"issue":"9","key":"1134_CR18","doi-asserted-by":"publisher","first-page":"1730","DOI":"10.3390\/app9091730","volume":"9","author":"BM Nguyen","year":"2019","unstructured":"Nguyen BM, Thi Thanh Binh H, Do Son B (2019) Evolutionary algorithms to optimize task scheduling problem for the IoT based bag-of-tasks application in cloud\u2013fog computing environment. Appl Sci 9(9):1730","journal-title":"Appl Sci"},{"issue":"1","key":"1134_CR19","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s10596-009-9142-1","volume":"14","author":"JE Onwunalu","year":"2010","unstructured":"Onwunalu JE, Durlofsky LJ (2010) Application of a particle swarm optimization algorithm for determining optimum well location and type. Comput Geosci 14(1):183\u2013198","journal-title":"Comput Geosci"},{"issue":"1","key":"1134_CR20","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s12559-016-9442-4","volume":"9","author":"B Song","year":"2017","unstructured":"Song B, Wang Z, Zou L (2017) On global smooth path planning for mobile robots using a novel multimodal delayed PSO algorithm. Cogn Comput 9(1):5\u201317","journal-title":"Cogn Comput"},{"key":"1134_CR21","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.cma.2018.01.004","volume":"333","author":"DN Subramani","year":"2018","unstructured":"Subramani DN, Wei QJ, Lermusiaux PFJ (2018) Stochastic time-optimal path-planning in uncertain, strong, and dynamic flows. Comput Methods Appl Mech Eng 333:218\u2013237","journal-title":"Comput Methods Appl Mech Eng"},{"key":"1134_CR22","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.jss.2017.10.033","volume":"136","author":"S Taherizadeh","year":"2018","unstructured":"Taherizadeh S, Jones AC, Taylor I et al (2018) Monitoring self-adaptive applications within edge computing frameworks: a state-of-the-art review. J Syst Softw 136:19\u201338","journal-title":"J Syst Softw"},{"issue":"111","key":"1134_CR23","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1109\/MCOM.2017.1600922","volume":"55","author":"J Tang","year":"2017","unstructured":"Tang J, Wen R, Quek TQS et al (2017) Fully exploiting cloud computing to achieve a green and flexible C-RAN. IEEE Commun Mag 55(111):40\u201346","journal-title":"IEEE Commun Mag"},{"issue":"4","key":"1134_CR24","first-page":"1","volume":"22","author":"A Tharwat","year":"2019","unstructured":"Tharwat A, Elhoseny M, Hassanien AE et al (2019) Intelligent B\u00e9zier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm. Clust Comput 22(4):1\u201322","journal-title":"Clust Comput"},{"issue":"2","key":"1134_CR25","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1080\/0305215X.2015.1005084","volume":"48","author":"X Wang","year":"2016","unstructured":"Wang X, Shi Y, Ding D et al (2016) Double global optimum genetic algorithm\u2013particle swarm optimization-based welding robot path planning. Eng Optim 48(2):299\u2013316","journal-title":"Eng Optim"},{"key":"1134_CR26","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.neucom.2017.12.015","volume":"282","author":"B Wang","year":"2018","unstructured":"Wang B, Li S, Guo J et al (2018) Car-like mobile robot path planning in rough terrain using multi-objective particle swarm optimization algorithm. Neurocomputing 282:42\u201351","journal-title":"Neurocomputing"},{"issue":"10","key":"1134_CR27","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1142\/S0218001419590341","volume":"33","author":"X Xiong","year":"2019","unstructured":"Xiong X (2019) Artificial intelligence control algorithm for the steering motion of wheeled soccer robot. Int J Pattern Recognit Artif Intell 33(10):238\u2013252","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"1","key":"1134_CR28","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s11044-019-09720-1","volume":"50","author":"L Yu","year":"2020","unstructured":"Yu L, Wang K, Zhang Q et al (2020) Trajectory planning of a redundant planar manipulator based on joint classification and particle swarm optimization algorithm. Multibody Syst Dyn 50(1):25\u201343","journal-title":"Multibody Syst Dyn"},{"issue":"1","key":"1134_CR29","first-page":"130","volume":"31","author":"XU Zhen","year":"2020","unstructured":"Zhen XU (2020) Rotary unmanned aerial vehicles path planning in rough terrain based on multi-objective particle swarm optimization. J Syst Eng Electron 31(1):130\u2013141","journal-title":"J Syst Eng Electron"}],"container-title":["International Journal of System Assurance Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13198-021-01134-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13198-021-01134-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13198-021-01134-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T05:17:09Z","timestamp":1625807829000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13198-021-01134-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,11]]},"references-count":29,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["1134"],"URL":"https:\/\/doi.org\/10.1007\/s13198-021-01134-7","relation":{},"ISSN":["0975-6809","0976-4348"],"issn-type":[{"value":"0975-6809","type":"print"},{"value":"0976-4348","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,11]]},"assertion":[{"value":"30 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}