Publisher：Future Internet  

While driving, stress and frustration can affect safe driving and pose the risk of causing traffic accidents. Therefore, it is important to control the driver’s anxiety level in order to improve the driving experience. In this paper, we propose and implement an intelligent system based on fuzzy logic (FL) for deciding the driver’s anxiety level (DAL). In order to investigate the effects of the considered parameters and compare the evaluation results, we implement two models: DAL Model 1 (DALM1) and DAL Model 2 (DALM2). The input parameters of DALM1 include driving experience (DE), in-car environment conditions (IECs), and driver age (DA), while for DALM2, we add a new parameter called the accident anxiety state (AAS). For both models, the output parameter is DAL. We carried out many simulations and compared the results of DALM1 and DALM2. The evaluation results show that the DAL is very good for drivers’ ages between 30 to 50 years old. However, when the driver’s age is below 30 or above 50, DAL tends to decline. With an increase in DE and IECs, the DAL value is decreased. But when the AAS is increased, the DAL is increased. DALM2 is more complex because the rule base is larger than DALM1, but it makes a better decision of DAL value.

DOI： 10.3390/fi16100348

Scopus

Publisher：Frontiers in Plant Science  

The mitochondrial pyruvate dehydrogenase complex (PDC) plays a crucial role in linking the glycolysis pathway and the tricarboxylic acid (TCA) cycle. Previously, we reported that a mutation of MAB1, encoding an E1β subunit of PDC, affects the abundance of auxin efflux carriers PIN-FORMED proteins (PINs) via reduced recycling and enhanced degradation in vacuoles. Here, we further analyzed the effects of TCA cycle inhibition on vesicle trafficking using both the mab1-1 mutant and 3-BP, a TCA cycle inhibitor. Pharmacological and genetic impairment of the TCA cycle induced the aggregated components of ARA6, which is a plant-unique RAB5 GTPase that mediates endosomal trafficking to the plasma membrane. In addition, MAB4, which is an NPH3-like protein that inhibits PIN internalization from the plasma membrane, was severely reduced in 3-BP-treated roots and mab1-1. Furthermore, TCA cycle impairment led to the accumulation of reactive oxygen species in root tips, and treatment with H2O2 reduced MAB4 levels while increasing the internalization of PIN2 from the plasma membrane, and aggregated ARA6-positive compartments. These results suggest that TCA cycle impairment targets PIN proteins for degradation in the vacuole by disrupting both the MAB4-mediated block of internalization and the ARA6-mediated endocytic pathway.

DOI： 10.3389/fpls.2024.1462235

Scopus

For safe driving and decrasing the risk of traffic accidents, it is important to control the driver mental status. In this paper, we implement an intelligent system based on Fuzzy Logic (FL) for deciding Driver Mental Status (DMS). We call this system FL-based DMS System (FLDMSS). The input parameters for FLDMSS are Driver Anxiety Level (DAL), Traffic Situation (TS) and Driving Operating Time (DOT). The output parameter is DMS. We evaluated the implemented system by computer simulations. The simulation results show that DMS is very good when the driving operating time is short. With increasing of DAL and DOT values, the DMS value is decreased. But when TS is good, the DMS value is increased.

DOI： 10.1007/978-3-031-76452-3_34

Scopus

Wireless Mesh Networks (WMNs) are effective networks because they have high-robustness and rapid deployment capabilities. However, they have some issues such as congestion, interference, diminished data transfer speeds, packet losses, and increased latency. The location of mesh routers is one of the most critical decisions to deal with these problems. However, determining the optimal location of mesh routers in WMNs is difficult task and it is known to be an NP-hard problem. In order to solve this problem, we propose and implement an intelligent simulation system based on Cuckoo Search (CS) algorithm, which is a meta-heuristic approach. In this work, we assess the performance of WMN-CS considering Uniform, Weibull and Chi-square distributions of mesh clients. For evaluation, we carried out computer simulations. The simulation results show that the distribution of mesh clients affects the performance of WMN-CS. In case of Uniform distribution of mesh clients, the convergence speed is faster than the Weibull and Chi-square distributions, but the converged value of NCMC is the lowest among these three distributions. In the case of Weibull distribution, the convergence speed is slower than the Uniform and Chi-square distributions, but the converged value of NCMC is the highest among three of them. The performance of WMN-CS for Chi-square distribution is between Uniform and Weibull distributions.

DOI： 10.1007/978-3-031-70011-8_12

Scopus

DOI： 10.1007/978-3-031-57840-3_16

Scopus

Other Link： https://dblp.uni-trier.de/db/conf/aina/aina2024-1.html#SakamotoBL024

DOI： 10.1007/978-3-031-64766-6_26

Scopus

Other Link： https://dblp.uni-trier.de/db/conf/imis/imis2024.html#LiuSB24

In P2P systems, especially in mobile P2P, it is necessary to consider the mobility tolerance of nodes and the instability of the network. The goal of this research is to develop a system for selecting reliable and best peers in a P2P communication environment. Previous research has focused on improving the reliability of peers and evaluating the reliability of the network as a whole. In this study, we focused on the reliability evaluation of each peer by using correlation coefficients and ns-3 simulator. Foe evaluation, we consider three parameters: delay time, packet loss and throughput. The simulation results show that the proposed systems can choose the best reliable peers.

DOI： 10.1007/978-3-031-46970-1_22

Scopus