پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 687 |
| تعداد مقالات | 9,985 |
| تعداد مشاهده مقاله | 70,957,069 |
| تعداد دریافت فایل اصل مقاله | 62,422,382 |
An intellectual procurement innovation of smart grid power system with wireless communication networks based on machine learning | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 12، شماره 2، بهمن 2021، صفحه 1567-1576 اصل مقاله (554.7 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5285 | ||
| نویسندگان | ||
| M Sathya* 1؛ K Gunalan2؛ Manohar B S3؛ T CH Anil Kumar4؛ Shaik Shafi5؛ G Johncy6 | ||
| 1Department of CSE, Islamiah Institute of Technology, Bangalore, India. | ||
| 2Department of EEE, R. M. K College of Engineering and Technology, Chennai, India. | ||
| 3Department of ECE, JSS Academy of Technical Education, Bengaluru, India. | ||
| 4Department of Mechanical Engineering, Vignan’s Foundation for Science Technology and Research, Andra Pradesh, India. | ||
| 5Department of ECE, B V Raju Institute of Technology, Telangana, India. | ||
| 6Department of CSE, St.Xavier’s Catholic College of Engineering, Kanyakumari, India. | ||
| تاریخ دریافت: 28 اسفند 1399، تاریخ بازنگری: 08 خرداد 1400، تاریخ پذیرش: 24 خرداد 1400 | ||
| چکیده | ||
| The phased array antenna is one of the most significant applications in fifth-generation mobile networks. It is one of the most important applications in fifth-generation networks. An electric power source that powers the whole application, including the antenna's root, is required. Even with the most outstanding design, if the programme does not have a sound power supply system with minimal packet loss and can't Path find performance, it will be rendered ineffective. When seen from the perspective of the multiplex information, Machine Learning comprises a communication network based on the Internet that transmits information to the control centre via the objects (IOT). To put it another way, the proposed communication infrastructure, via the provision of, and the chance micro-grid state to collect, analyze, and two-way communication link control information, offers the chance to resolve the voltage regulation issues. This cutting-edge communication infrastructure, as well as a suggested state estimation filter focused on improving speed and performance in renewable energy production, are both examples of creative communication infrastructure. Current research is focused on analyzing and enumerating a range of energy abundances in the context of smart grids, which are now in their fifth generation. Rather than concentrating on the future development plan, which should be a problem of illusion, it should concentrate on the composition of the future potential of smart grid communications framework. An in-depth investigation to give evidence to the Machine learning will help intelligent networks in the future conduct a thorough evaluation. | ||
| کلیدواژهها | ||
| Internet of Things (IoT)؛ Machine learning؛ communication infrastructure provides؛ Smart grid power supply system | ||
| مراجع | ||
|
[1] R. G. Askin and J B. Goldberg, Design and analysis of lean production system, John Wiley&Sons.Inc, (2002). [2] G. Baglin and M. Capraro, L’Entreprise Lean Production ou la PME comp´etitiveparl’action collective , Presses Universitaires de Lyon, (1999). [3] K. R. Baker, Heuristic procedures for scheduling job families with setups and due dates, Naval Research Logistics, 46(8) (1999) 978-991. [4] K. R. Baker, Scudder G D.Sequencing with earliness and tardiness penalties: a review, Operations Research, 38(1) (1990) 22-36. [5] M. Ball´e, G. Beauvallet, A. Smalley and D. Sobek, The Thinking Production System, Working Research N°5, Projet Lean Entreprise, (2006). [6] Concurrent Engineering: Research and Applications (CERA)– An international Journal: Special issue on CloudIoT in Concurrent Engineering, Concurrent Engineering, 25(2) (2017) 190-191. doi:10.1177/1063293X17711325. [7] C. Corbett, Yucessn Remodeling Just-in-time production system: a critical review, Proceedings of the 1993 Winter Simulation Conference, (1993) 819-828. [8] I. Diez-Itza, I. Aizpitarte and A. Becerro, Risk factors for the recurrence of Ulcer organ prolapse after vaginal surgery: A review at 5 years after surgery, International Urogynecology Journal, 18(11) (2007) 1317-1324. [9] J. Drew, B. McCallum and S. Roggenhofer, Objectif Lean, McKinsey & Company, (2004). [10] F. S. Hillier,Small sample probability limits for range chart, Journal of the American Statistical Association, 62(320) (1967) 1488-1493. [11] K. Kumar Singamaneni, G. Puthilibai, D. Saravanan, P. Sagaya Aurelia, P. Gopala Krishna and D.Stalindavid, An Effective Parkinson’s Disease Prediction Using Logistic Decision Regression and Machine Learning with Big Data, Turkish Journal of Physiotherapy and Rehabilitation, ISSN 2651-4451 — e-ISSN 2651-446X, 32(3) 778 – 786. [12] S. Kumar Agarwal, V. E. Salis, K. Bommanna Raja, C. Karthikeyini, P. Shankar Gupta and D. Saravanan, Experience of Treating Covid-19 with Hydroxychloroquine and Azithromycin: New Delhi, India, Turkish Journal of Physiotherapy and Rehabilitation, ISSN 2651-4451 — e-ISSN 2651-446X, 32(3) 795-804. [13] P. Lakshmi, D. StalinDavid, I. Kalaria, S. Jayadatta, A. Sharma and D.Saravanan, Research on Collaborative Innovation of E-Commerce Business Model for Commercial Transactions, Turkish Journal of Physiotherapy and Rehabilitation; ISSN 2651-4451 — e-ISSN 2651-446X, 32(3) 787 – 794. [14] J. K. Liker, Toyota Talent, McGraw-Hill, (2007). [15] Z. Messaoud`ene and J. Gramdi, Proposition d’un cadre conceptual etsyst´emique des Syst`emes de Production Lean , 7`e Congr`es international de G´enieIndustriel, TroisRivi`eres, Qu´ebec, June (2007). [16] R. Parthiban, R. Ezhilarasi, D. Saravanan, Optical Character Recognition for English Handwritten Text Using Recurrent Neural Network, International Conference on System, Computation, Automation and Networking (ICSCAN-IEEE),[17] R. Parthiban, V. Abarna, M. Banupriya, S. Keerthana and D. Saravanan, Web Folder Phishing Discovery and Prevention with Customer Image Verification, International Conference on System, Computation, Automation and Networking, (ICSCAN-IEEE)(2020). [18] M. Pillet, J.L. Maire, V. Bronet, S. Caroly and Cholez C., Mod´elisationd’uned´emarche de p´erennisation, Application pour uned´emarche MSP , 6`eme Congr`es Int. PluridisciplinaireQualit´e et Sˆuret´e de Fonctionnement (Qualita 2005), Bordeaux, France, (2005) 207-214. [19] B. Prasad Product development process for IoT-ready products, Concurrent Engineering, 28 (2) (2020) 87-88. doi:10.1177/1063293X20932618 [20] C. P. Quesenberry, SPC Q-charts for start-up processes and short or long runs, Journal of Quality Technology, 23(3) (1991) 213-224. [21] R. Radha and R. Gopalakrishnan, A medical analytical system using the intelligent fuzzy level set brain image segmentation based on improved quantum particle swarm optimization, Microprocessors, and Microsystems, ISSN 0141-9331, 79 (103283)(2020). [22] D. Raghu Raman, S. Gowsalya Devi and D. Saravanan, Locality based violation vigilant system using mobile application, International Conference on System, Computation, Automation and Networking (ICSCAN-IEEE), (2020). [23] K. Rao Vaddempudi, G. Nageswara Rao, D. Saravanan, S. Sindhura, S. Gopa Kumar and D. Stalin David, Marine Area Remote Sensing Monitoring Withadvanced Flight Regulator and Self-Directed Regulator, Turkish Journal of Physiotherapy and Rehabilitation; ISSN 2651-4451 — e-ISSN 2651-446X, 32(3) 1584-1590. [24] K. C. B. Roes, R. J. M. M. Does and B. S. Jonkers, Effective application of Q(R) charts in low-volume manufacturing, Quality and Reliability Engineering International, 15(3) (1999) 175-190. [25] D. Saravanan, T. Rammohan, K. Aruna Kumari, D.Raghu Raman, A. Manoj Dhulekar and D. Stalin David, Using Machine Learning for Short-Term Extrapolation in Financial Forecast Based on Field-Programmable Gate Array, Turkish Journal of Physiotherapy and Rehabilitation; ISSN 2651-4451 — e-ISSN 2651-446X, 32(3) 1252-1260. [26] D. Saravanan, J. Feroskhan, R. Parthiban and S. Usharani, Secure Violent Detection in Android Application with Trust Analysis in Google Play, Journal of Physics: Conference Series 1717 (1), 012055. [27] D. Saravanan, E. Racheal Anni Perianayaki, R. Pavithra and R. Parthiban, Barcode System for Hotel Food Order with Delivery Robot, Journal of Physics: Conference Series 1717 (1), 012054. [28] A. Schell, et al., Design AndMedical Of A Novel IntraVaginal Pressure Sensor Array, in 46th Annual Meeting of the International Continence Society, Tokyo, Japan, (2016). [29] A. Schell, et al., Beat The Leak: A New IOT To Measure The Vaginal Pressure Profile, in 46th Annual Meeting of the International Continence Society, Tokyo, Japan, (2016). [30] A. Singh Chouhan, N. Purohit, H. Annaiah, D. Saravanan, E. Fantin Irudaya Raj and D. Stalin David, A Real-Time Gesture Based Image Classification System with FPGAand Convolutional Neural Network, International Journal of Modern Agriculture, 10(2) (2021) 2565 - 2576. Retrieved from http://www.modern-journals.com/index.php/ijma/article/view/1064. [31] D. Stalin David, G.Nageswara Rao, M. Swain, U. Sri Venkatesh, E. FantinIrudaya Raj, D. Saravanan, Inflammatory Syndrome Experiments Related with Covid-19, Turkish Journal of Physiotherapy and Rehabilitation, ISSN 2651-4451 — e-ISSN 2651-446X, 32(3) 765 – 768. [32] J. Womack and D. Jones, Syst`emeLean :Penserl’entreprise au plus juste , Village Mondial, 2`eme ´ed., (2005). [33] L. Yane and Zh. Mingang, Electrochemical performance detection of lithium –sulfur battery based on practical image and Heritage Algorithm, Microprocessors and Microsystems, ISSN 0141-9331, 103329 (2020). [34] H. Zhen, Q. Ershi, W. Hengyi and H. Shang mei, A heuristic algorithm for Job scheduling in a group technology flowline, Chinese Journal of Industrial engineering engineering management, 10(4) (1996) 243-248. | ||
|
آمار تعداد مشاهده مقاله: 16,368 تعداد دریافت فایل اصل مقاله: 9,517 |
||