S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語


 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.

MYU Research

(proofreading and recording)

(translation service)

The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Copyright(C) MYU K.K.
Published in advance: January 12, 2022

Port Container Terminal Quay Crane Allocation Based on Simulation and Machine Learning Method [PDF]

Indranath Chatterjee and Gyusung Cho

(Received September 6, 2021; Accepted December 2, 2021)

Keywords: container terminal, quay crane, port operation, simulation method, machine learning, data analysis, IoT sensors

Container terminals play a crucial role in exporting and importing goods, where export and import containers are loaded and unloaded. Containers are usually loaded and unloaded with a dock crane. A quay crane is assigned at a container port in advance, considering a ship's arrival schedule. However, allocating a quay crane is difficult owing to the limited number of quay cranes available and the need to consider the shipping timetable. In this study, by considering the schedule of each ship arriving from a container terminal, the number of unloaded containers for each ship, and the limited number of quay cranes, we conduct quay crane assignment through a simulation model to increase the productivity of a container terminal. Alongside, it is evident that artificial intelligence (AI) and machine learning (ML) are necessary for port management in many ways, from berth scheduling to quay allocation. In this study, we also investigate the applicability of ML and metaheuristic approaches in quay allocation problems and explore further possibilities. In this study, we also highlight the sensor-based automation of quay allocation using Internet of Things (IoT) technologies for future research in the domain of port and terminal management.

Corresponding author: Gyusung Cho

Forthcoming Regular Issues

Forthcoming Special Issues

Special Issue on Advanced Micro and Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2020)
Guest editor, Sheng-Joue Young (National Formosa University), Shoou-Jinn Chang (National Cheng Kung University), Liang-Wen Ji (National Formosa University), and Yu-Jen Hsiao (Southern Taiwan University of Science and Technology)
Conference website

Special Issue on Advanced Technologies for Remote Sensing and Geospatial Analysis Part 1
Guest editor, Dong Ha Lee (Kangwon National University) and Myeong Hun Jeong (Chosun University)

Special Issue on Recent Advances in Soft Computing and Sensors for Industrial Applications
Guest editor, Chih Hsien Hsia (National Ilan University)

8th Special Issue on the Workshop of Next-generation Front-edge Optical Science Research
Guest editor, Yutaka Fujimoto (Tohoku University) and Takayuki Yanagida (Nara Institute of Science and Technology)

Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 3-1
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)

Special Issue on Film and Membrane Sciences
Guest editor, Atsushi Shoji (Tokyo University of Pharmacy and Life Science)

Copyright(C) MYU K.K. All Rights Reserved.