Vehicular ad hoc networks (VANETs) have been quite a hot research area in the last few years. Due to their unique characteristics such as high dynamic topology and predictable mobility, VANETs attract so much attention of both academia industry. In this paper, we provide an overview main aspects from perspective. This paper starts with basic architecture networks, then discusses three popular issues general methods, ends up analysis on challenges future trends VANETs.

Cordyceps cicadae (C. cicadae) is an important edible medicinal fungus; however, owing to its wild growth and lack of genome annotation, construction a stable genetic transformation system in C. greatly limited, impeding the extensive exploitation industry. Here, we successfully established efficient plasmid method within protoplasts by PEG mediation using pCas9-EGFP as marker plasmid. In order overcome low efficiency acquire sufficient for transformation, influence enzyme species, enzymatic...

Ramming settlement is a key index to reflect the quality of dynamic compaction. It mainly relies on manual monitoring, which seriously affects construction efficiency, and safety cannot be guaranteed. In this paper, an algorithm Perspective 3-Point Rammer Pose Estimation (P3P-RPE) based monocular vision measurement proposed, can carried out simultaneously with construction, effectively avoiding problem that compaction operation needs terminated during monitoring. Then error propagation model...

Hydraulic support is an indispensable equipment for coal mining face. To detect the position and posture of hydraulic automatically control its straightness at working face, we developed a device based on principle that three noncolinear points determine plane proposed novel method using it. First, sensor parameters in were experimentally calibrated. Second, accuracy was evaluated single point detection experiment by measuring nine datum points. Through actual testing, our can reach 24.82mm....

The position and posture of the hydraulic support seriously affect efficiency coal mining safety production. However, most current detection technologies have poor reliability, methods are difficult to adapt complex environment mines. To effectively monitor support, thereby improve mining, we propose a new method detect relative support. is based on mathematical idea that three points can determine plane. Firstly, use angle sensors displacement build device, STM32 microprocessor collect...

The displacement process of CH4 by the CO2 injection in shale micropores plays a dominant role enhanced gas recovery (CO2-ESGR). In this paper, we have addressed micropores, and particularly, investigated contribution each specific pore size from 0.50 to 2.0 nm competitive adsorption terms residual after displacement. results showed that different contributions depending on size, ratio, temperature, pressure. pores below 0.61 make no recovery, but 0.55–0.60 are beneficial for storage....

In the study of coal mining, position and posture, working status, straightness hydraulic support are critical to safety mine. To detect control a support, model for solving self-position posture relative pose based on principle three points determining plane in space were established. Then, with help particle swarm optimization algorithm Bang-Bang algorithm, detection system constructed. Finally, according requirements sensor data collection online monitoring is developed, simulation...

We study the problem of alleviating instability issue in GAN training procedure via new architecture design. The discrepancy between minimax and maximin objective values could serve as a proxy for difficulties that alternating gradient descent encounters optimization GANs. In this work, we give results on benefits multi-generator show gap shrinks to $ε$ number generators increases with rate $\widetilde{O}(1/ε)$. This improves over best-known result $\widetilde{O}(1/ε^2)$. At core our...

This paper develops a charge pricing model for private charging piles (PCPs) by considering the environmental and economic effects of electric vehicle (PEV) energy sources impact PCP load on total load. simulates users’ responses to different combinations peak-valley prices based power PCPs user transfer rate. According regional structure, it calculates real-time coal consumption, carbon dioxide emissions reduction, generation costs PEVs side. The empirical results demonstrate that proposed...

Language model (LM) watermarking techniques inject a statistical signal into LM-generated content by substituting the random sampling process with pseudo-random sampling, using watermark keys as seed. Among these approaches, distortion-free watermarks are particularly crucial because they embed without compromising generation quality. However, one notable limitation of compared to true-random is that, under same (i.e., key collision), results exhibit correlations. This could potentially...

Generalizable vehicle re-identification (ReID) aims to enable the well-trained model in diverse source domains broadly adapt unknown target without additional fine-tuning or retraining. However, it still faces challenges of domain shift problem and has difficulty accurately generalizing domains. This limitation occurs because relies heavily on primary domain-invariant features training data pays less attention potentially valuable secondary features. To solve this complex common problem,...

China has set an ambitious target of achieving the grid parity solar power by 2020 in 13th Five-Year Plan. This paper estimates levelized costs electricity (LCOE) centralized photovoltaic across regions with actual situation 2016 and simulation scenarios for 2020. Results demonstrate that LCOEs will decrease considerably during period Five-Year. Few them are competitive generation side electric prices basic scenario pessimistic situation. Sensitivity analysis reveals utilization hour, unit...

Bulk materials are necessary for hydropower construction. The bulk transportation (BMT) scheme is a guiding document material supply, and its selection has significant influence on Since the BMT problem includes planning issues simultaneously, only small number of studies have focused it. This paper presents theoretical two-stage decision-making method (TDM), which innovatively combines path optimization multi-criteria (MCDM) to solve problem. In first stage, multi-source model established...

Vehicle re-identification (ReID) aims to match and track vehicles in a surveillance system across non-overlapping camera views. Despite great advances have been achieved intra-domain cross-domain vehicle ReID, most existing methods still suffer the problem caused by diverse environment changes rarely exploit fine attribute properties which contain high-level intrinsic semantic information. Inspired transferable knowledge of attributes such as color model-type ZSL (Zero-Shot Learning), we...

Moving object detection is one of the key technologies in field target extraction, pattern recognition and motion measurement. The problem moving based on high-speed video sequence images investigated this paper. First, tracking system introduced. Second, an improved hybrid method combined background subtraction with frame difference proposed, post-processed by using threshold area de-noising morphology filter. Finally, experiment results show that proposed detects from precisely effectively.

Target localization and tracking in the Internet of Things (IoT) environment have been paid more attention recently. The knowledge information generated from wireless sensor nodes IoT make huge contributions to targets with high mobility. This paper presents a square-root unscented Kalman filtering (SR-UKF) based algorithm for mobile target an environment. First, initialization model is proposed scenario. Then, according neighboring nodes, we employ SR-UKF idea further target. Simulation...