• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.242-248
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• 2003

In this paper, we propose a new heuristic solution for 3D container packing problem for the variable size and the variable kind of freights. First we consider the total cost of container charges, i.e., loading, transportation and handling charges, where the priority of each frights are dealt. By minimizing the total cost of container charges, the kinds of container and its number can be decided automatically. From these factors, we con determine the position in the container and the loading sequence into the container. Finally, by equivalence of freight's weight in container, we can prevent the freight's damage on the handling.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.3
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• pp.68-76
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• 2021

Storage racks have suffered huge losses due to earthquakes, but related research and regulations are relatively insufficient non-structural elements compared to the structural elements. In this study, we tried to experimentally analyze the behavioral characteristics of storage racks due to external force according to the fixing conditions of the column-foundations connection of storage racks. In general, the column-foundations connection of storage racks is installed according to the user's convenience without installation standards and regulations. For this reason, this study conducted a behavior analysis test on four full-scale storage racks with the condition of column-foundations connection of four typical storage racks. The behavior characteristics analysis test was performed by two-direction of the shake table with El-Centro seismic wave. To confirm the behavior characteristics according to the magnitude of the seismic load, 50% ~ 150% of the seismic waves were increased by 50% for each test. In addition, a resonance search test was conducted to confirm the natural frequency of each storage racks foundations fixing condition. Among the data obtained through the test, the displacement of the top layer and the permanent displacement after the test were compared for each condition to analyze the behavior characteristics of the column-foundations fixed conditions of the storage racks. As a result, the change of natural frequency was small in storage racks due to the change of the conditions of the foundations, and the behavior characteristics were changed due to the difference of the restoring force due to the change of the storage racks foundations condition rather than the influence of the natural frequency of the input load.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.375-393
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• 2023

The demand for Less than Container Load (LCL) has been on the rise due to the growing need for various small-scale production items and the expansion of the e-commerce market. Consequently, more companies in the International Freight Forwarder are now handling LCL. Given the variety in cargo sizes and the diverse interests of stakeholders, there's a growing need for a container loading algorithm that optimizes space efficiency. However, due to the nature of the current situation in which a cargo loading plan is established in advance and delivered to the Container Freight Station (CFS), there is a limitation that variables that can be identified at industrial sites cannot be reflected in the loading plan. Therefore, this study proposes a container loading methodology that makes it easy to modify the loading plan at industrial sites. By allowing the characteristics of cargo and the status of the container to be considered, the requirements of the industrial site were reflected, and the three-dimensional space was manipulated into a two-dimensional planar layer to establish a loading plan to reduce time complexity. Through the methodology presented in this study, it is possible to increase the consistency of the quality of the container loading methodology and contribute to the automation of the loading plan.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.2
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• pp.77-82
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• 2015

Big Data technology has been attracted much attention in aspect of fast data processing. Research of practicing Big Data technology is also ongoing to process large-scale structured data much faster in Relatioinal Database(RDB). Although there are lots of studies about measuring analyzing performance, studies about structured data loading performance, prior step of analyzing, is very rare. Thus, in this study, structured data in RDB is tested the performance that loads distributed processing platform Hadoop using Apache sqoop. Also in order to analyze the influence factors of data loading, it is tested repeatedly with different options of data loading and compared with data loading performance among RDB based servers. Although data loading performance of Apache Sqoop in test environment was low, but in large-scale Hadoop cluster environment we can expect much better performance because of getting more hardware resources. It is expected to be based on study improving data loading performance and whole steps of performance analyzing structured data in Hadoop Platform.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1794-1799
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• 2022

Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. therefore we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Also, we propose an integrated system for tracking the detected vehicles. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.171-178
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• 2023

In this paper, we propose a smart automated warehouse to maximize space utilization. Previous elevator-type automatic warehouses were designed with a maximum payload of 100kg on trays, which has the problem of extremely limiting the number of pallets that can be loaded within the space. In this paper, we design a smart warehouse that can maximize space utilization with a maximum vertical stiffness of 300kg. As a result of the performance evaluation of the implemented warehouse, the maximum payload was 500.6kg, which satisfied the original design and requirements, the lifting speed was 0.5m/s, the operating noise of the device was 67.1dB, the receiving and forwarding time of the pallet was 36.92sec, the deflection amount was 4mm, and excellent performance was confirmed in all evaluation items. In addition, the PLC control method, which designs the control UI and control panel separately, was integrated into the PC system to improve interoperability and maintainability with various process management systems. In the future, we plan to develop it into a fully automatic smart warehouse by linking IoT sensor-based logistics robots.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.315-318
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• 2004

지금까지 대부분의 물류시스템은 생산자에서 최종 소비자에 이르는 생산물품의 수${\cdot}$배송에만 집중되어 왔으나, 최근 산업계에서는 기존의 수송시스템에 역방향 물류시스템을 통합하려는 시도가 이루어지고 있다. 본 논문에서는 배달화물과 수거화물이 혼합 적재되는 차량경로문제를 제안하고 이를 해결하기 위한 방안으로 유전알고리듬을 적용한 해법을 제시한다. 배달과 수거의 혼합적재를 허용함에 따라 고객지점에서는 적재된 혼합화물을 재배치하는 문제가 발생할 수 있다. 이 때 소요되는 적재화물의 재배치시간은 직관적인 수식으로 표현하였다. 유전알고리듬 개발과정에서 여러 가지 교차 연산자와 돌연변이 연산자들을 새롭게 고안하였다. 제안된 유전알고리듬 해법의 성능평가를 위하여 유사한 차량경로문제를 다루는 최신 알고리듬과 비교 계산실험을 수행하였다. 다양한 문제를 구성하여 실험한 결과, 제안된 유전알고리듬해법의 효과성이 입증되었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.591-592
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• 2023

본 논문에서는 다양한 시장 요구사항에 따른 공간적 효율성과 유연한 관리 시스템이 내장된 스마트 적재창고를 제안한다. 적재창고는 공간 활동의 최적화를 요구하는 동시에 높은 수준의 비용 효율성을 갖추어야 한다. 그리고 자동화된 애플리케이션이 기존 창고 및 공급만 운영보다 중요하며 스마트 팩초리와 연계하여 부품 재고파악과 입출고를 효율적으로 담당해야 한다. 본 논문에서는 수직강성을 최대 300kg를 견딜 수 있는 수직형 자동적재창고를 구현한다. 연구의 결과는 스마트팩토리 등의 자동화 장비 구축을 통한 생산성 향상에 도움이 될 것으로 사료된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.242-244
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• 2011

최근 넓은 창고에서 물품들을 좀 더 효율적으로 관리하기 위해 RFID(Radio Frequency Identification)를 이용한 창고관리시스템(Warehouse Management System)에 대한 연구가 활발히 진행되고 있다. 창고관리시스템에서 중요한 요소 중 하나는 물품의 정확한 위치파악이다. 특히 냉동 창고에서는 물품 보관을 하는 coldroom의 안팎 온도차이로 인한 물품의 적재위치 오류는 물품의 변질을 가져오게 하므로 실시간 정확한 위치를 파악하는 것이 중요한 요소가 된다. 기존의 연구방법들에서는 coldroom 입구에 RFID리더기를 설치하여 물품이 인식될 때 단지 그곳에 적재되는 것으로 인식하였다. 그러나 이러한 방법으로는 물품이 coldroom으로 들어가다 다시 돌아 나오는 경우, 반대로 물품이 밖으로 나가다 다시 들어오는 경우 등과 같은 상황에서는 물품의 위치가 잘못된 정보를 가지게 된다. 본 논문에서는 냉동 창고관리시스템에서 2대의 RFID리더기가 설치된 지게차를 이용하여 물품의 적재위치 정확성을 높이기 위한 방법을 제안한다. 지게차에 설치된 2개의 RFID리더기는 각각 천장에 부착된 태그로부터 위치데이터와 지게차에 적재된 물품데이터를 획득한다. 2개의 리더기로부터 수집된 데이터를 분석하여 물품의 입/출고 상황정보와 물품의 이동경로정보를 실시간으로 모니터링 할수 있다. 이를 통해 실시간 냉동 창고 적재위치 오류를 감지해 냄으로써 냉동 창고관리시스템의 물품보관에 대한 효율성을 높일 수 있게 된다.

• Fire Science and Engineering
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• v.25 no.5
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• pp.47-53
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• 2011

Fire load in buildings greatly contribute to the time and scale of fire according to the type and quantity of the fire load. Because bookstores have a large quantity of fire load compared with other buildings which may lead to large scale fires, however, their heat release characteristics have been hardly investigated. In this study, to obtain the data applicable for the performance-based fire safety design of bookstores, the specimens representing stacked fire loads were heated in a furnace in compliance with the standard heating curve of ISO834-1:1999 to investigate their heat release characteristics. From the experiment result, the combustion velocity and heat release rate required for performancebased fire safety designs are obtained.