Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Jun Hakura"'
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783030750992
AINA (1)
AINA (1)
In order to keep safety driving on the road in snow country, it is important to know the road state and predict the dangerous locations in advance. In this paper, the data from various in-vehicle sensor state of a snow country using various in-vehicl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f1ad6ecc081e6179429bdc864da4fac
https://doi.org/10.1007/978-3-030-75100-5_35
https://doi.org/10.1007/978-3-030-75100-5_35
Publikováno v:
Advances in Internet, Data and Web Technologies ISBN: 9783030706388
In the cold districts, there is a large portion of traffic collision which is caused by skidding on icy road in entire traffic collisions. Some method in the latest research can detect exact road surface weather condition with vehicle onboard sensor.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48bf51dc2d76155bdf6d6f0d054b1ca2
https://doi.org/10.1007/978-3-030-70639-5_27
https://doi.org/10.1007/978-3-030-70639-5_27
Publikováno v:
Advanced Information Networking and Applications ISBN: 9783030750770
AINA (3)
AINA (3)
Autonomous driving vehicle is one of solutions to provide transportation rights with an alternative modal transportation in the community which is increasing of aging population in rural area. There is technically challenged for determination of driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::623a888a91800f7f4c27c22c2ce7ed7f
https://doi.org/10.1007/978-3-030-75078-7_50
https://doi.org/10.1007/978-3-030-75078-7_50
Publikováno v:
Advances in Internet, Data and Web Technologies ISBN: 9783030706388
In order to realize autonomous driving system on ordinal roads, it is necessary for drivers to precisely predict and know the road state before running the objective road. In this paper, accuracy of states decision on actual winter road using various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89690272e83d4c247f1fbe14c0a0cf15
https://doi.org/10.1007/978-3-030-70639-5_26
https://doi.org/10.1007/978-3-030-70639-5_26
Publikováno v:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030611040
3PGCIC
3PGCIC
Autonomous driving is getting popular year and year around the world. However, applications over autonomous driving car have not been discussed so far. In this paper, video applications including AR and VR contents for tourists on the autonomous vehi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c602fda4a513fb02df2d0833a7c793e4
https://doi.org/10.1007/978-3-030-61105-7_35
https://doi.org/10.1007/978-3-030-61105-7_35
Publikováno v:
Advances in Internet, Data and Web Technologies ISBN: 9783030397456
EIDWT
EIDWT
In this research, various road state information including dry, wet, slush, snowy, icy states on the road are determined in realtime using various environmental sensors. These state information is not only exchanged directly between drivers through V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8bd577b28f033bbc23aae34f45a24a4
https://doi.org/10.1007/978-3-030-39746-3_29
https://doi.org/10.1007/978-3-030-39746-3_29
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030440374
AINA Workshops
AINA Workshops
In order to realize automotive electric car system in snow country, various road state information including dry, wet, slush, snowy, icy states on the road are determined in realtime using various environmental sensors. These state information is not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d85175ed07dc821df2cf8809464655b
https://doi.org/10.1007/978-3-030-44038-1_54
https://doi.org/10.1007/978-3-030-44038-1_54
Publikováno v:
Knowledge-Based Systems. 22:216-234
This paper reports on our experience in adapting emotional experiences of the software engineers in the evolutionary design of software systems. This paper represents the progress report on the development relative to the state of art needed to have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7494796021e7d210246abba2e605ce46
https://doi.org/10.1016/j.knosys.2008.11.005
https://doi.org/10.1016/j.knosys.2008.11.005
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319226880
SoMeT
SoMeT
In this paper, we improve the conventional decision tree learning algorithm using rough set theory. First, our approach gets the upper approximate for each class. Next, it generates the decision tree from each upper approximate. Each decision tree sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7315a4670ff68b8f07c944a715bb2ad9
https://doi.org/10.1007/978-3-319-22689-7_26
https://doi.org/10.1007/978-3-319-22689-7_26
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319175294
SoMeT (Selected Papers)
SoMeT (Selected Papers)
In this paper, we proposed a modified decision tree learning algorithm. We tried to improve the conventional decision tree learning algorithm. There are some approaches to do it. These methods have a modified learning phase and a decision tree made b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f68f2befc8996b46dfcc671f5d7bcf5
https://doi.org/10.1007/978-3-319-17530-0_4
https://doi.org/10.1007/978-3-319-17530-0_4