As an emerging producer services industry, the logistics industry is third-largest in China. The rapid development of accelerates optimization and adjustment industrial structure, advances transformation economic growth, thus promotes a development. It essential to understand correlation between other industries, for purpose facilitating industries by industry. Based on current status general several concerns about have been addressed this paper. A qualitative analysis structure has...

The effective forecast of container volumes can provide decision support for port scheduling and operating. In this work, by deep learning the historical dataset, long short-term memory (LSTM) recurrent neural network (RNN) is used to predict daily containers which will enter storage yard. raw dataset in a certain chosen as training set preprocessed with box plot. Then LSTM model established Python Tensorflow framework. comparison between other prediction methods like ARIMA BP also provided...

With the development of China's Belt and Road Initiative (BRI), port plays a significant role its operation management faces some pressure. In this regard, prediction daily container volumes will provide manager with data support for better plan storage yard. work, by deep learning historical dataset, long short-term memory (LSTM) recurrent neural network (RNN) is trained used to predict containers which enter The raw dataset certain from 2013 2016 chosen as training set 2017 test evaluate...

This paper addresses the problem of key resource scheduling container terminals for energy-efficient operation. A combination and operation in is firstly described. An evaluation model then proposed. The objective set, decision variable constraint set a terminal are established this paper. At same time, their mapping relationship carefully analyzed system structure finally

With the increasing number of nodes in distributed systems, complexity task scheduling also increases. Therefore, how to schedule tasks reasonably is becoming more and significant. Most traditional algorithms only consider a single condition without thinking over dynamic characteristic system lack comprehensive measures. Therefore they cannot meet needs systems. To solve these problems, we establish model based on multi-agent this paper, build negotiation mechanism propose multi-objective...

Comprehensive analysis of the tower in image feature information with Harris corner imprecise for complex image, we propose an improved algorithm, which use detection method to calculate number gray similar target pixel 8 field, analyze level distribution pixels within local range, and then lag suppression set threshold , if is objective function greater than threshold, change point was identified as final corner. The experimental results proved be effective determine area.

This study investigates the processing methods of artistic images within context Smart city (SC) initiatives, focusing on visual healing effects image to enhance urban residents' mental health and quality life. Firstly, it examines role techniques in healing. Secondly, deep learning technology is introduced improved, proposing overlapping segmentation vision transformer (OSViT) for blocks, further integrating bidirectional long short-term memory (BiLSTM) algorithm. An innovative...

This paper demonstrates the spectrums of a long period fiber grating pair (LPGP) by changing following physical parameters: separation LPG, length single LPG and number .The study response LPGP to different parameters enables rational design sensor element. These results produce an important foundation our further spectral characteristics. On basis above conclusion, is produced amplitude mask method, in which germanium-doped exposed UV. The LPGP's resonance wavelengths are shifted as...

Aiming at the problem that traditional point set non-rigid registration algorithm has low precision and slow convergence speed for complex local deformation data, this paper proposes a robust based on affine registration. The uses hierarchical iterative method to complete from coarse fine. In each iteration, sub data sets model are divided shape control points of updated. Then we use guided ICP solve transformation between corresponding sets. Next, obtained by previous step is used update...

This paper aims to propose an innovated design of automated container terminal (ACT) handling system, which can help the port enhance performance entire terminal.Different from conventional ACTs that use trucks or guided vehicles (AGVs) transport containers in terminal, new system takes advantages multi-storey lifting frame bridge (MLFB), elevators, (ALVs), trolleys (FTs) and reach stackers(RSs).The MLFB-based ACT is composed several subsystems, have respective bridges.Furthermore,...

To achieve non-invasive, non-contact, and real-time heart rate monitoring, proposed a pulse signal acquisition system using PVDF (Polyvinylidene Fluoride) piezoelectric film. In order to address the issue of errors in extraction caused by differences morphology signals across individuals or different states, K-means clustering algorithm was innovatively used locate peak waveforms states constructed data set. Real-time monitoring training large number samples with CNN-LSTM network model....

A hollow core fiber (HCF) is spliced with a single-mode fiber, and then the end face of HCF discharged to form microsphere interferometer for measuring gas pressure environmental temperature. The total length microspheres less than 200 μm. We made two such structures used femtosecond laser pulses drill micropores on walls both structures. One directly measure air pressure, achieving sensitivity up 2.857 nm/MPa while being almost insensitive Another structure filled thermal sensitive material...

Time-sensitive networking (TSN) is a promising technology that meets the deterministic communication needs of real-time transmission. Time-triggered (TT) streams are kind have high priority in TSN. As scale load and topology real industrial scenarios keeps growing, difficulty scheduling TT also increases. Incremental common way to improve scalability, but it can lead decrease schedulability. This paper mainly focuses on how take both scalability schedulability into account for We propose...