• Journal of Korean Society of Transportation
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• v.19 no.4
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• pp.7-18
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• 2001

This study represents a first attempt in Korea to develop the simultaneous freight supply-demand model which considers the relationship between freight supply and demand. As the existing study was limited in one area, or the supply and the demand was separated and assumed not to affect each other, this study take it into consideration the fact that the demand affects supply and simultaneously vice versa. This approach allows us to diagnose a policy carried on and helps us to make a resonable alternative for the effectiveness of freight transportation system. To find a relationship between them, we use a method of econometrics. a structural equation theory and two stage least-squares(2SLS) estimation technique, to get rid of bias which involves two successive applications of OLS. Based on the domestic freight data, this study consider as explanatory variables a number of population(P), industry(IN), the amount of production of the mining and manufacturing industries(MMI), the rate of the effectiveness of freight capacity(LE) and the distance of an empty carriage operation(VC). This study describes well the simultaneous process of freight supply-demand system in that the increase of VC from the decrease of VC raises the cargo capacity and cargo capacity also augments VC. By the way. it is analyzed that the increment of VC due to the increase of the cargo capacity is larger than the reduction of VC owing to the increase of the quantify of goods. Therefore an alternative policy is needed in a short and long run point of view. That is to say, to promote the effectiveness of the freight transportation system, a short term supply control and a long run logistic infrastructure are urgent based on the restoration of market economy by successive deregulation. So we are able to conclude that gradual deregulation is more desirable to build effective freight market.

• 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 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.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.04a
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• pp.139-139
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• 2003

원예작물은 수확 후 여러 가지 요인에 의해 품질이 저하되어 상품성을 잃게되는데, 특히 수확 후 품온상승에 의해 호흡작용이 왕성해져 품질변화를 촉진하게 된다. 그러므로 수확 후 품온을 가능한 한 빠르게 낮추어 신선도를 유지하기 위한 예냉, 저온저장, 저온수송기술등 저온유통시스템을 활용하는 것이 매우 필요하다. 저온유통시스템을 효과적으로 활용하기 위해서는 냉기의 순환이 원활하여 냉각효율이 좋고 파손의 위험과 물류비용을 줄일 수 있는 포장상자의 구조에 대한 연구가 필요하다. 포도, 방울토마토, 참외의 소비형태는 핵가족화와 더불어 신선 고품질의 농산물을 소량 구매하는 소비패턴으로 변화하면서 저온유통 및 소포장을 위한 포장형태의 개선이 요구되고 있다. 따라서 예냉.저온유통에 적합한 포장상자를 개발하기 위하여 연구소, 농협중앙회, 상자제작회사, 포장디자인 업체, 산지농협 작목반이 개발협의체를 구성하여 참외, 포도, 방울토마토의 저온유통용 골판지 상자를 개발하여 압축강도 및 냉각시험을 실시하여 소비지에 시범 보급하였다. 1. 참외 포장상자는 3kg용 상부 개방형 골판지상자로써 손잡이를 부착하고, 포장상자 상부에 덮개용 필름을 부착하였다. 제작된 상자의 압축강도는 저온유통 후 에도 안전압축강도 이상인 343kgf의 압축강도를 나타냈고, 냉각효율도 기존상자에 비하여 높게 나타났다. 또한 개발된 상자를 사용하여 시중에 출하할 경우 기존 5kg 상자에 비하여 8%이상의 부가가치를 높일 수 있었다. 2. 포도 포장상자는 소비자 기호도를 충족하고 다층적재시 손상을 방지하기 위하여 내용물을 1단 적재하고 상자를 개방형으로 하여 덮개용 필름을 부착하므로써 소비자가 내용물을 확인할 수 있도록 하고, 상자의 압축강도는 소비지까지 유통이 완료된 후 에도 수직압축강도가 400kgf이상으로 안전압축강도 보다 높아 저온에서 안전하게 유통할 수 있었다. 또한 개발된 상자를 사용하여 시중에 출하할 경우 기존 5kg 상자에 비하여 2kg상자는 21%, 4kg상자는 12%이상의 부가가치를 높일 수 있었음. 3. 방울토마토 포장상자는 외포장 상자를 4kg용 상부 개방형 골판지상자를 사용하고, 내포장상자는 500g용 PET용기를 사용하여 1상자에 8개의 내포장상자가 적재될 수 있도록 제작하였다. 제작된 외포장상자의 압축강도는 저온유통후에도 320kgf으로 안전압축강도보다 높게 나타났고, 파랫트 적재효율도 96%이상으로 나타나 물류의 효율성을 높일 수 있었다. 개발된 상자를 사용하여 시중에 출하할 경우 기존 산물형태의 4kg용 상자에 비하여 500g 내포장상자에 출하할 경우 20%이상의 부가가치를 높일 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.1971-1978
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• 2011

In RFID-based cold-storage systems, product locations are recognized as the logical locations of RFID readers which are attached to the entrance of the cold rooms. However, through these methods, product locations can be incorrect in many different situations of a storage. Cold storage rooms have a huge rage in temperature, and the product in the cold-storage spoils easily. Therefore, highly precise product locations is very important for the product quality In this paper, a new approach is suggested to manage the storage location inaccuracy by adding two readers to existing forklift and attaching RFID tags to the ceiling. One reader recognizes ceiling tags to acquire location data, and the other recognizes product tags to acquire product detail data loaded on the forklift. The product can be seamlessly tracked and traced in realtime by monitoring and analyzing data gathered from these readers. Through the proposed location management method, the effectiveness of the product management in cold-storage can be improved consequently.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.255-261
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• 2005

The purpose of this paper is to analyze transport ability of Automated Guided Vehicle(AGV) and Double Stack Vehicle(DSV) at Automated Container Terminal(ACT). Usually, the main difference of AGV and DSV is capacity of container that they can transport between apron and yard block at once. AGV can carry out two 20 feet or one 40 feet maritime containers, but DSV can carry out four 20 feet or two 40 feet maritime containers. Therefore, DSV may improve more efficiency of stevedoring system of container terminal. In this paper, a simulation model using a graphics simulation system is developed to compare the proposed DSV with the current AGV at automated container terminal. The paper includes examples, performance tests and a discussion of simulation results.

• Journal of Korea Spatial Information System Society
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• v.9 no.2
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• pp.81-91
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• 2007

In this paper, we have proposed the non-duplication loading method for supporting spatio-temporal analysis in spatial data warehouse. SDW(Spatial Data Warehouse) extracts spatial data from SDBMS that support various service of different machine. In proposed methods, it extracts updated parts of SDBMS that is participated to source in SDW. And it removes the duplicated data by spatial operation, then loads it by integrated forms. By this manner, it can support fast analysis operation for spatial data and reduce a waste of storage space. Proposed method loads spatial data by efficient form at application of analysis and prospect by time like spatial mining.

• Journal of the Korean Society for Railway
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• v.15 no.5
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• pp.517-523
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• 2012

Double Stack Train(DST) is being used variously around USA and Canada. The greatest advantage of the DST is mass transportation without extending the length of freight train and number of cars. So the DST system can be a kind of innovative train to increase the competitiveness of rail logistic business. As the domestic rail logistic increase, for enhancement of environment friendly green transportation amount, the DST needs more for efficiency. In this study, as the alternative way to introduce the DST to the Kyungbu Line, it's investigated the extensibility of rail freight with the relation of rail fare discount and examined the necessity of pilot business to the Kyungjeon Line which was expected comparatively lower cost. If the DST system is introduced to the Kyungjeon Line, the cost of mass transportation can be much lower and then the comparativeness of rail transportation will be increased, therefore logistic companies can have some margin additionally. In the result of survey to the related companies, if rail transportation fare is 37.7 % cheaper than current road transportation fare, the modal shift can be transferred by maximum 100%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.562-565
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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. However, this irregular weight distribution is not possible to be recognized with the current weight measurement system for vehicles on roads. To address this limitation, 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 from the CCTV, black box, and hand-held camera point of view. 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. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data. From the result, we believe that public big data can be utilized more efficiently and applied to the development of an object detection-based overloaded vehicle detection model.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.44-51
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• 2005

항만에 위치한 컨테이너 터미널은 수송, 하역, 저장의 기능을 고루 갖춘 대표적인 물류 시스템이다. 터미널이 충분히 제 기능을 수행하여 터미널 생산성을 향상시키기 위해서는 효율적인 레이아웃 설계가 필요하다. 터미널 레이아웃은 초기 터미널 설계단계에서 우선적으로 고려되는 의사결정 부분이며 터미널 운영 및 컨테이너 취급 비용에 중요한 영향을 미치는 요소가 된다. 본 연구에서는 개념 설계에서 구분되어지는 장치장의 배치형태 에서 수평 장치장을 모델로 하였다. 터미널 생산성에 영향을 미치는 이송능력과 적재능력의 효율적인 조정을 위하여, 블록의 배치와 사양에 따른 적재능력과 블록에 설치한 이적지점 개수에 따른 이송능력 대해 시뮬레이션을 통해 분석하고자 한다.