Revised BOP-Publication 24H DUBAI 2021
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Koronaviruspandemian Vaikutus Elektroniseen Urheiluun
Koronaviruspandemian vaikutus elektroniseen urheiluun Rami Waly ja Tuomo Tammela 2021 Laurea Laurea-ammattikorkeakoulu Koronaviruspandemian vaikutus elektroniseen urheiluun Rami Waly ja Tuomo Tammela Tietojenkäsittely Opinnäytetyö Huhtikuu 2021 Laurea-ammattikorkeakoulu Tiivistelmä Tietojenkäsittely koulutusohjelma Tradenomi (AMK) Rami Waly, Tuomo Tammela Koronaviruspandemian vaikutus elektroniseen urheiluun Vuosi 2021 Sivumäärä 48 Opinnäytetyön tavoitteena on selvittää, kuinka koronaviruspandemia on vaikuttanut elektro- niseen urheiluun. Opinnäytetyössä käydään läpi mitä toimia elektronisen urheilun organisaa- tiot ja tapahtumien ylläpitäjät ovat ottaneet siirtääkseen toimintaansa LAN-pelaamisesta verkkopelaamiseen. Lisäksi opinnäytetyöstä selviää, millä tavoin e-urheilun tapahtumien jär- jestäminen on pyritty turvaamaan pandemian aikana. Opinnäytetyössä tutkittiin myös eri kil- pailullisten videopelien lajeja sekä elektronisen urheilun organisaatioita. Elektronisen urheilun kysynnän ja joukkueiden kilpailullisen hengen kasvaessa seuraajat jää- vät miettimään, kuinka pandemian vaikutukset muuttavat elektronista urheilua tulevina vuo- sina. E-urheilun tapahtumat ovat yleisesti toimineet paikallisesti, mutta turnauksia on aiem- min myös pidetty verkon kautta. Tämänhetkinen koronaviruspandemia pakotti kaikki elektro- nisen urheiluun liittyvät osapuolet sopeutumaan nopeasti uuteen tilanteeseen, sekä arvioi- maan uudelleen kaikki mahdolliset turvatoimet katsojien, pelaajien ja työntekijöiden vuoksi. Opinnäytetyössä tutkitaan myös latenssin -
Improving Input Prediction in Online Fighting Games
DEGREE PROJECT IN TECHNOLOGY, FIRST CYCLE, 15 CREDITS STOCKHOLM, SWEDEN 2021 Improving Input Prediction in Online Fighting Games Anton Ehlert KTH ROYAL INSTITUTE OF TECHNOLOGY ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Authors Anton Ehlert <[email protected]> Electrical Engineering and Computer Science KTH Royal Institute of Technology Place for Project Stockholm, Sweden Examiner Fredrik Lundevall KTH Royal Institute of Technology Supervisor Fadil Galjic KTH Royal Institute of Technology Abstract Many online fighting games use rollback netcode in order to compensate for network delay. Rollback netcode allows players to experience the game as having reduced delay. A drawback of this is that players will sometimes see the game quickly ”jump” to a different state to adjust for the the remote player’s actions. Rollback netcode implementations require a method for predicting the remote player’s next button inputs. Current implementations use a naive repeatlast frame policy for such prediction. There is a possibility that alternative methods may lead to improved user experience. This project examines the problem of improving input prediction in fighting games. It details the development of a new prediction model based on recurrent neural networks. The model was trained and evaluated using a dataset of several thousand recorded player input sequences. The results show that the new model slightly outperforms the naive method in prediction accuracy, with the difference being greater for longer predictions. However, it has far higher requirements both in terms of memory and computation cost. It seems unlikely that the model would significantly improve on current rollback netcode implementations. However, there may be ways to improve predictions further, and the effects on user experience remains unknown. -
BOP-Publication 12H MUGELLO 2021Pdfdownload
Balance of Performance Publication Date: 22.02.2021 HANKOOK 12H MUGELLO 2021 To Sporting & Technical Regulations 24H SERIES powered by Hankook 2021 (Version 26 November 2020 with KNAF permit No.: 0314.21.002) Dear Teams and Drivers These Balance of Performance and other figures are in force with immediate application and replaces the figures of appendix 11 of the Sporting & Technical regulations and eventually previously published BOP-publications. Notes on boost control: Control of Pboost strategy as per document attached (Appendix: Control of Pboost strategy is updated), for all cars of which Pboost max is specified, unless explicit otherwise specified. Approved: Creventic BOP HANKOOK 12 MUGELLO 2021 1 For all Classes expect 991 and GT3 SEMI-PRO-BOP This “SEMI-PRO-BOP” refers to Series Bulletin 02/2021 Art. 8.3.2 Team Composition. This “SEMI-PRO-BOP” is applicable for a team with drivers-line up with ONLY SEMI-PRO drivers. Balance of Performance* BOP Weight Refuelling SEMI-PRO-BOP + 30 kg -/- 5 L * BOP adjusted (+/-) ballast weight and refuelling amount, referred to initial value specified in this BOP-publication) Class TC: Touring Cars Max Cylinder Minimum Brand & Type Turbo Refuelling Remarks capacity Weight amount According to BMW M240i Cup 85L @ Green BMW M240i Racing Cup 3000 cc Twin Turbo 1440 kg regulations 2020 85L @ Code60 Car height minimum 100mm BMW E46 M3 3200 cc No 1200 kg 120 L BMW M2 CS (365HP) 3000 cc Twin Turbo 1530 kg 85 L No power stick (365HP) Your (TC) car not listed here? Please make an individual request to [email protected] -
HANKOOK 12H HOCKENHEIMRING 2021 to Sporting & Technical Regulations 24H SERIES Powered by Hankook 2021 (Version 26 November 2020 with KNAF Permit No.: 0314.21.002)
Balance of Performance Publication Date: 17.05.2021 HANKOOK 12H HOCKENHEIMRING 2021 To Sporting & Technical Regulations 24H SERIES powered by Hankook 2021 (Version 26 November 2020 with KNAF permit No.: 0314.21.002) Dear Teams and Drivers These Balance of Performance and other figures are in force with immediate application and replaces the figures of appendix 11 of the Sporting & Technical regulations and eventually previously published BOP-publications. Notes on boost control: Control of Pboost strategy as per document attached (Appendix: Control of Pboost strategy is updated), for all cars of which Pboost max is specified, unless explicit otherwise specified. Approved: Creventic BOP HANKOOK 12H HOCKENHEIMRING 2021 1 For all Classes expect 991 and GT3 SEMI-PRO-BOP This “SEMI-PRO-BOP” refers to Series Bulletin 02/2021 Art. 8.3.2 Team Composition. This “SEMI-PRO-BOP” is applicable for a team with drivers-line up with ONLY SEMI-PRO drivers. Balance of Performance* BOP Weight Refuelling SEMI-PRO-BOP + 30 kg -/- 5 L * BOP adjusted (+/-) ballast weight and refuelling amount, referred to initial value specified in this BOP-publication) Class TC: Touring Cars Max Cylinder Minimum Brand & Type Turbo Refuelling Remarks capacity Weight amount According to BMW M240i Cup 85L @ Green BMW M240i Racing Cup 3000 cc Twin Turbo 1440 kg regulations 2020 85L @ Code60 Car height minimum 100mm BMW E46 M3 3200 cc No 1200 kg 120 L BMW M2 CS (365HP) 3000 cc Twin Turbo 1530 kg 85 L No power stick (365HP) Your (TC) car not listed here? Please make an individual