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

Wireless Mesh Networks (WMNs) are rapidly developing due to their usefulness and deployment capabilities, making them effective solutions for diverse networking applications. However, these networks face several challenges, including congestion, interference, diminished data transfer rates, packet loss, and increased latency. The strategic placement of mesh routers is crucial for mitigating these issues. However, finding the best placement of mesh routers in WMNs is a complex and challenging issue and is classified as an NP-hard problem. To solve this problem, we propose and implement a Cat Swarm Optimization (CSO) based intelligent simulation system, called WMN-CSO. We evaluate the performance of proposed system for Normal and Uniform distribution of mesh clients considering SGC and NCMC metrics. The simulation results indicate that the proposed system can achieve better connectivity and user coverage for Normal distribution of mesh clients.

DOI： 10.1007/978-3-032-05892-8_2

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 knowing for their significant robustness and rapid deployment capabilities, rendering them effective solutions for wireless networking. However, these networks face several challenges, including congestion, interference, diminished data transfer rates, packet loss, and increased latency. The strategic placement of mesh routers is crucial in mitigating these issues. Nevertheless, determining the optimal locations for mesh routers in WMNs is a challenge and is classified as an NP-hard problem. To solve this issue, we propose and implement an intelligent simulation system that employs Cuckoo Search (CS) algorithm, called WMN-CS system. In this study, we evaluate the performance of a WMN utilizing WMN-CS system considering the replacement parameter. We conducted computer simulations to evaluate the proposed system considering Size of Giant Component (SGC) and Number of Covered Mesh Clients (NCMC) metrics. The evaluation results indicate that WMN-CS can achieve the maximum value of SGC across all tested replacement parameters. On the other hand, the performance of WMN-CS for NCMC varies depending on the specific replacement parameter utilized. The findings suggest that a smaller replacement parameter performs better in the considered scenarios.

DOI： 10.1007/978-3-031-96099-4_19

Scopus

Wireless Mesh Networks (WMNs) are known for their significant resilience and rapid deployment capabilities, rendering them effective solutions for various networking applications. However, these networks face several challenges, including congestion, interference, diminished data transfer rates, packet loss, and increased latency. The strategic placement of mesh routers is crucial for mitigating these issues. However, to find the best locations for mesh routers in WMNs is a complex challenge because it is classified as an NP-hard problem. To tackle this challenge, we propose and implement a Cuckoo Search (CS) algorithm based intelligent simulation system, called WMN-CS. In this study, we evaluate the performance of WMN using WMN-CS system considering the load balancing among mesh routers. The simulation results demonstrate that the system effectively manages load balancing while maximizing connectivity and user coverage.

DOI： 10.1007/978-3-031-96093-2_19

Scopus

Network slicing is a key enabling technology for 5G/B5G networks, allowing diverse services with distinct requirements to coexist on shared infrastructure. However, ensuring the trustworthiness of slices and improving performance, reliability, and security remains a significant challenge. This paper proposes a Hierarchical Fuzzy Trust System (H-FTS) to evaluate the trustworthiness of network slices. The system integrates Quality of Service (QoS) metrics (Latency, PLR, Throughput), Slice Failure Rate (SFR), Security Posture (SP), and Isolation Integrity (II). A lower-level Type-1 Fuzzy Logic System (T1 FLS) assesses the QoS score. This score, along with SFR, SP and II, is fed into an upper-level Interval Type-2 FLS (IT2 FLS) to compute Slice Trust (ST) score. Simulation results demonstrate the effectiveness of H-FTS, indicating that improvements in QoS, SP, and II have a positive impact on ST, while SFR shows a negative influence. The proposed H-FTS offers an interpretable and structured approach to trust assessment, essential for managing complex network slicing ecosystems.

DOI： 10.1007/978-3-031-96099-4_22

Scopus