Accurate ship trajectory plays an important role for maritime traffic control and management, prediction with Automatic Identification System (AIS) data has attracted considerable research attentions in community. The raw AIS may be contaminated by noises, which limits its usage management applications real world. To address the issue, we proposed ensemble reconstruction framework combining quality procedure module. More specifically, implemented three steps: separation, denoising,...

Wind turbines are predominantly situated in remote, high-altitude regions, where they face a myriad of harsh environmental conditions. Factors such as high humidity, strong gusts, lightning strikes, and heavy snowfall significantly increase the vulnerability turbine blades to fatigue damage. This susceptibility poses serious risks normal operation longevity turbines, necessitating effective monitoring maintenance strategies. In response these challenges, this paper proposes novel fault...

Abstract Calcium‐aluminum‐rich inclusions (CAIs) are the first solid materials formed in solar nebula. Among them, ultrarefractory very rare. In this study, we report on mineralogical features and oxygen isotopic compositions of minerals a new inclusion CAI 007 from CV3 chondrite Northwest Africa (NWA) 3118. The is porous has layered (core–mantle–rim) texture. core dominant area mainly consists Y‐rich perovskite Zr‐rich davisite, with minor refractory metal nuggets, Zr,Sc‐rich oxide...

Smart Parking Management Systems (SPMSs) have become a research hotspot in recent years. Many researchers are focused on vehicle detection technology for SPMS which is based magnetic sensors. Magnetism-based wireless detectors (WVDs) integrate low-power communication technology, improves the convenience of construction and maintenance. However, signals not only susceptible to adjacent vehicles, but also affected by signal dead zone high-chassis resulting decrease accuracy. In order improve...

Abstract Trip destination prediction plays an important role in exploring urban travel patterns. Accurate can improve the efficiency of traffic management and quality location‐based services. Here, a deep learning structure that contains three components: information extraction, classification mechanism, output module is proposed. Three types (the partial trajectory on‐going trips, historical trajectories, related external information) are extracted first component. Then, mechanism chooses...

Trajectory recovery aims to restore missing data for reconstructing high-quality human mobility trajectory, which benefits a wide range of intelligent transportation system applications ranging from urban planning travel recommendation. Inspired by the inherent regularity mobility, existing approaches capture spatial-temporal transition regularities in historical trajectory recovery. Although promising, solutions suffer two limitations. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Hyperspectral image classification (HSIC) has attracted widespread attention due to its important application in environment alterations and geophysical disaster monitoring. However, surface cultivation is not static as time passes, which leads different hyperspectral images information collected from the same area at periods. Therefore, researchers are currently eager construct a HSIC model that continuously acquires new classes of data. During continuous learning process, expected only...

Time synchronization based on primary signal (PSS) is investigated for 3GPP Long Term Evolution (LTE) downlink receivers. Frequency offset and low SNR are two factors which degrades the detection performance during initial synchronization. In proposed scheme, receiver performs sliding differential mirror correlation further accumulates correlated results of multiple PSS transmission periods. During these procedures, operations eliminate detrimental effect frequency at improved by...

To systematically analyze the spatiotemporal heterogeneity, diurnal variation characteristics, and influencing factors of karst cave microclimate environments in Mahuang Cave, a Shuanghe Cave National Geological Park Guizhou Province, China, was investigated. Monthly monitoring meteorological environmental parameters, such as wind speed, air pressure, humidity, temperature indicators inside atmospheric precipitation outside cave, conducted from 2019 to 2021, well encrypted August December...

We derive two types of approximate maximum likelihood (ML) detection based on minimum mean squared error (MMSE), MMSE-CML (conditional ML) and MMSE- CLML local detection, for MIMO communication system. A simple reliability judge rule to the estimate transmit symbols is also given. For proposed CML received signals are flrst sent into MMSE detector do linear equalization, then judged in module; If be reliable, we take as flnal result; if not, conditional ML (CML) get Unlike conventional...

A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection case stopping position is not standard when waiting for traffic light change. In order improve detection accuracy any type speed, a novel two-sensors data fusion method through combining received strength from radio stations with geomagnetism around designed...

The wireless vehicle detectors (WVDs) based on the magnetic sensor for outdoor parking spaces have been studied in many papers. However, signal has a blind zone between front and rear wheels of vehicles, thus it is difficult WVDs to judge whether affected by current or adjacent space. This paper proposes robust detection method, which combines data feature global positioning system (GPS) satellites' signal-to-noise ratios (SNRs) signals achieve detection. Since high energy consumption GPS...

Rank Indicator(RI) defined in Long Term Evolution (LTE) systems enables appropriate layers for spatial multiplexing streams transmission. The RI calculation method is investigated based on reference signal (RS) channels and a novel presented with low computational complexity by sampling RS channels. Compared to the optimal which indicated full channels, proposed can achieve near performance, while, be reduced linearly granularity. Simulation results are shown verify effectiveness of method.

Real-time control of urban fire water supply system status, to ensure the safety and reliability fighting rescue is great significance. This paper proposes a method monitoring status firefighting based on pressure mean. It theoretically analyzed principle realization sliding filter for hydraulic sensor, emphatically studied time domain law signal. The differences in mean values different states were detail. Finally, effectiveness algorithm was verified by actual leakage test. results show...