By now, personal life has been invaded by online social networks (OSNs) everywhere. They intend to move more and offline lives networks. Therefore, can reflect the structure of human society. A piece information be exchanged or diffused between individuals in From this diffusion process, lots latent mined. It used for market predicting, rumor controlling, opinion monitoring among other things. However, research these applications depends on models methods. For reason, we survey various from...

In a mixed traffic environment of human and autonomous driving, it is crucial for an vehicle to predict the lane change intentions trajectories vehicles that pose risk it. However, due uncertainty intentions, accurately predicting great challenge. Therefore, this paper aims establish connection between propose dual Transformer model target vehicle. The contains intention prediction trajectory model. able extract social correlations in terms states outputs probability vector. fuses vector,...

With the development of intelligent transportation system (ITS) and vehicle to X (V2X), connected is capable sensing a great deal useful traffic information, such as queue length at intersections. Aiming solve problem existing models' complexity information redundancy, this paper proposes model based on V2X technology, which consists two sub-models shockwave back propagation (BP) neural network sensing. First, obtains state vehicles analyzes formation process queue, then it calculates...

In order to identify the abnormal road surface condition efficiently and at low cost, a recognition method is proposed based on vibration acceleration generated by smartphone when vehicle passes through surface. The improved Gaussian background model used extract features of pavement, k-nearest neighbor (kNN) algorithm distinguish pavement types, including pothole bump. Comparing with existing works, influence vehicles different suspension characteristics detection threshold studied in this...

The turbofan engine is a crucial component of the aircraft. In order to provide an appropriate maintenance for improve reliability system, it necessary estimate remaining useful life (RUL) engine. this paper, data-based RUL prediction method proposed using Light Gradient Boosting Machine (LightGBM). To capture more degradation information, time window row data and runtime are used as inputs after normalization. LightGBM works very well with these high-dimensional model easy interpret....

Car-following is an essential trajectory control strategy for the autonomous vehicle, which not only improves traffic efficiency, but also reduces fuel consumption and emissions. However, prediction of lane change intentions in adjacent lanes problematic, will significantly affect car-following especially when vehicle changing a connected unintelligent without expensive accurate sensors. Autonomous vehicles suffer from vehicles' abrupt changes, may reduce ride comfort increase energy...

Accurate state of charge (SOC) plays a vital role in battery management systems (BMSs). Among several developed SOC estimation methods, the extended Kalman filter (EKF) has been extensively applied. However, EKF cannot achieve valid when model accuracy is inadequate, noise covariance matrix uncertain, and sensor large errors. This paper makes two contributions to overcome these drawbacks: (1) A variable forgetting factor recursive least squares (VFFRLS) proposed accomplish parameters...

The cruise control of high-speed trains is challenging due to the presence time-varying air resistance coefficients and constrains. Because for are not accurately known will change with actual operating environment, precision high speed train model lower. In order ensure safe effective operation train, conditions must meet safety constraints. most traditional methods PID control, predictive so on, in which identified offline. However, typically suffer from performance degradations...

Object rearrangement is a widely-applicable and challenging task for robots. Geometric constraints must be carefully examined to avoid collisions combinatorial issues arise as the number of objects increases. This work studies algorithmic structure rearranging uniform objects, where robot-object do not occur but object-object have avoided. The objective minimizing object transfers under assumption that robot can manipulate one at time. An efficiently computable decomposition configuration...

In this paper, we examine the problem of rearranging many objects on a tabletop in cluttered setting using overhand grasps. Efficient solutions for problem, which capture common task that solve daily basis, are essential enabling truly intelligent robotic manipulation. given instance, may need to be placed at temporary positions ("buffers") complete rearrangement, but allocating these buffer locations can highly challenging environment. To tackle challenge, two-step baseline planner is first...

Objective: To investigate the effect of a self-developed balance rhythm dance program on rehabilitation motor function and reduction fall risk in elderly women with diminished function. Methods: Fifty reduced function, admitted to Qingbar Elderly Care Center Chongqing Medical University from December 2022 2023, were randomly selected divided into two groups. The aerobic exercise group (25 patients) received traditional treatment nursing, while intervention addition nursing. Unified...

Data-driven methods are widely applied to predict the remaining useful life (RUL) of lithium-ion batteries, but they generally suffer from two limitations: (i) potentials features not fully exploited, and (ii) parameters prediction model difficult determine. To address this challenge, paper proposes a new data-driven method using feature enhancement adaptive optimization. First, battery aging extracted online. Then, technologies, including box-cox transformation time window processing, used...

Phospho-gypsum is an industrial solid waste discharged from the phosphate production process. The includes complex impurities such as phosphoric acid and its salts, fluoride, organics. Usually, retarders are mixed in gypsum-based building materials to extend setting time. Although effects of on hydration properties mechanical strength calcined gypsum have been analyzed, impact mechanism soluble phosphorus phospho-gypsum under retardation yet be defined. In this study, we employed...

This work explores the use of topological tools for achieving effective non-prehensile manipulation in cluttered, constrained workspaces. In particular, it proposes persistent homology as a guiding principle identifying appropriate actions, such pushing, to clean cluttered space with robotic arm so allow retrieval target object. Persistent enables automatic identification connected components blocking objects without need manual input or tuning parameters. The proposed algorithm uses this...

Remaining useful life (RUL) estimation is expected to provide appropriate maintenance for components or systems in industry improve the reliability of systems. Most data-based methods are limited a single model, which susceptible various factors like environmental variability and diversity operating conditions. In this paper, we propose an optimal stacking ensemble method combining different learning algorithms as meta-learners mitigate impact multi-operating The selection follows...

Nowadays, traffic infrastructures and vehicles are connected through the network benefiting from development of Internet Things (IoT). Connected automated cars can provide some useful information. An architecture algorithm mobile service computing proposed for state sensing by integration between IoT transport system models (TSMs). The formation process queue at this intersection is analyzed based on information velocity shockwave calculated to predict length. results be delivered edge...

Multipath TCP (MPTCP) allows the system to use available paths through multiple network interfaces. This aggregation of bandwidth increases throughput but also consumes more energy maintain connections between Existing algorithms tend shift traffic from high path low save energy. However, when performance less energy-intensive deteriorates, continued that will reduce throughput. To alleviate this issue and consumption while ensuring throughput, paper proposes an energy-saving scheduling...

The blocking voltage of silicon carbide (SiC) device is greater than 10 kV. High can cause high electric field inside SiC power module. Improving the insulation properties encapsulation material module becomes an urgent requirement. electrical field-dependent permittivity (FDP) composed silicone gel and barium titanate (BaTiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> ) be used to reduce field. However, related research on FDP...