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I. Swadexi, U. Rudi, N. Heriansyah
Pág. 53 - 59
In towards industry 4.0, the autodrive vehicle is needed to give people relaxed driving. There are many research in autodrive vehicle such as waymo-the Google driving car project and Tesla Self Driving Autopilot. In This paper is presented about Autodriv...
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Khalid Alnajim and Ahmed A. Abokifa
In the wake of the terrorist attacks of 11 September 2001, extensive research efforts have been dedicated to the development of computational algorithms for identifying contamination sources in water distribution systems (WDSs). Previous studies have ext...
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Gary Reyes, Vivian Estrada, Roberto Tolozano-Benites and Victor Maquilón
The steady increase in data generation by GPS systems poses storage challenges. Previous studies show the need to address trajectory compression. The demand for accuracy and the magnitude of data require effective compression strategies to reduce storage...
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Lin Qu, Yue Zhou, Jiangxin Li, Qiong Yu and Xinguo Jiang
Map matching of trajectory data has wide applications in path planning, traffic flow analysis, and intelligent driving. The process of map matching involves matching GPS trajectory points to roads in a roadway network, thereby converting a trajectory seq...
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Yang-Kuei Lin, Chien-Fu Chen and Tien-Yin Chou
Convenience store chains are many people?s top choice for dining and leisure and have logistics procedures that involve each store receiving multiple deliveries because of the varying delivery periods and suitable temperatures for different goods. The es...
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John Byabazaire, Gregory M. P. O?Hare, Rem Collier, Chamil Kulatunga and Declan Delaney
Smart agriculture relies on accurate yield maps as a crucial tool for decision-making. Many yield maps, however, suffer from spatial errors that can compromise the quality of their data, while several approaches have been proposed to address some of thes...
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Shuyan Si, Wen Xiong and Xingliang Che
Due to the rapid development of the mobile Internet and the Internet of Things, the volume of generated data keeps growing. The topic of data quality has gained increasing attention recently. Numerous studies have explored various data quality (DQ) probl...
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Kyeong Ryong Kim, Aaron Lim and Jae Hyung Cho
The exterior location of a user can be accurately determined using a global positioning system (GPS). However, accurately locating objects indoors poses challenges due to signal penetration limitations within buildings. In this study, an MLP with stochas...
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Rathachai Chawuthai, Nachaphat Ainthong, Surasee Intarawart, Niracha Boonyanaet and Agachai Sumalee
This study proposes a method by which to predict the travel time of vehicles on long-distance road segments in Thailand. We adopted the Self-Attention Long Short-Term Memory (SA-LSTM) model with a Butterworth low-pass filter to predict the travel time on...
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Andreas Rauh, Yohann Gourret, Katell Lagattu, Bernardo Hummes, Luc Jaulin, Johannes Reuter, Stefan Wirtensohn and Patrick Hoher
A reliable quantification of the worst-case influence of model uncertainty and external disturbances is crucial for the localization of vessels in marine applications. This is especially true if uncertain GPS-based position measurements are used to updat...
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