• Journal of Advanced Marine Engineering and Technology
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• v.31 no.4
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• pp.425-432
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• 2007

This paper describes a development of ship's refer-container remote monitoring system(RRMS). This system consists of Master, repeater with a switched mode power supply(SMPS) and slave terminal. Slave terminal is composed of wireless MODEM and microprocessor part, checks its conditions like temperature. humidity & etc through the interrogate port(IP) of refer-container. and transmits their data to master. Repeater's role is that connect so that signal which is transmitted from Slave Terminal by Master may not receive electric wave interference by container boxes. We verify the effectiveness of proposed system through the experimental works in container yard and ship.

• Journal of Navigation and Port Research
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• v.36 no.10
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• pp.803-810
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• 2012

Since the introduction of reefer container for seaborne transportation, international trade of reefer products has increased continuously with the development of refrigerate technology, increased speed of the ship and change of consumption pattern. Reefer cargo is perishable and sensitive to temperature, humidity compared with general cargo and normally reefer cargo is more valuable than general cargo. Therefore it needs special care for its handling in transit including land and sea in order to prevent cargo damage. However, lots of claims relating to reefer cargo damage rise frequently in workplace. It may increase unnecessary logistic cost and time. The aim of this study is to improve and prevent damage to reefer container cargo in transit for the purpose of benefits to both merchants and carriers to save unnecessary logistic cost and time as well as to contribute to deliver the cargo more safely and efficiently to destination.

• Journal of Korean Port Research
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• v.14 no.3
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• pp.259-267
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• 2000

This study aims to analyse the coefficient used to estimate the quay capacity per year at the container terminal. The capacity of the container terminal is composed of the capacity at the quay side and the other working conditions at the back of the quay side. But when we refer the capacity of the container terminal, generally we used capacity as that of the container terminal. To estimate the quay capacity independently of the working conditions at the back of quay side, we calculate the quay capacity as th product of working hours per year, productivity of container crane and relate other coefficients, such that berth utilization, crane utilization and efficiency. So that coefficients are properly defined to reflect the other working conditions. If we calculate the quay capacity by the product of working hours modified by the berth utilization and crane productivity modified by the crane utilization and efficiency, the meaning of that coefficients must be strictly defined. So there could be no confusion to apply that coefficients to calculate the quay capacity. In this study, we exclusively define the meaning of the berth utilization, crane utilization and efficiency according to the internal-meaning of thats in the function to calculate the quay capacity. And compare each coefficients by decomposing the working hours at the terminal.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.4
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• pp.637-645
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• 2022

Cloud computing has been gaining popularity over decades, and container, a technology that is primarily used in cloud native applications, is also drawing attention. Although container technologies are lighter and more capable than conventional VMs, there are several security threats, such as sharing kernels with host systems or uploading/downloading images from the image registry. one of which can refer to the integrity of container images. In addition, runtime security while the container application is running is very important, and monitoring the behavior of the container application at runtime can help detect abnormal behavior occurring in the container. Therefore, in this paper, first, we implement a signing checker that automatically checks the signature of an image based on the existing Docker Content Trust (DCT) technology to ensure the integrity of the container image. Next, based on falco, an open source project of Cloud Native Computing Foundation(CNCF), we introduce newly created image for the convenience of existing falco image, and propose implementation of docker-compose and package configuration that easily builds a monitoring system.

• Parasites, Hosts and Diseases
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• v.37 no.4
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• pp.229-236
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• 1999

In order to refer to the basic information regarding the identification of isolates obtained from a contact lens container in Korea, the isoelectric focusing gel electrophoresis was employed to compare the isoenzyme band patterns among Acanthamoeba spp. including eight isolates and the simple pairwise dissimilarity analysis was carried out. For an alkaline phosphate development, isolate 7 and Acanthamoeba polyphaga showed homologous band patterns, and isolates 1, 2, and 3 showed the same patterns. For lactate dehydrogenase, similar patterns were observed in isolates 2 and 3. Isolates 3 and 5 showed homologous band patterns for malate dehydrogenase and glucose phosphate isomerase. For hexokinase, isolates 4, 7, and A. hatchetti showed the same band patterns. In others, a considerable number of interstrain polymorphisms was observed in nine isoenzyme band patterns. In Acanthamoeba group II, genetic distances among isolates 1, 2, 3, 4, and 5 ranged from 0.104 to 0.200. In comparison to A. castellanii, A. hatchetti, and A. poIyphaga, genetic distances of isolates 7 and 8 were 0.254 and 0.219, respectively. In Acanthamoeba group III, including A. culbertsoni, A. healyi, and A. royreba, isolate 6 had genetic distances which ranged from 0.314 to 0.336. Finally, when comparing to the six reference Acanthamoeba, it was possible to classify isolates 1, 2, 3, 4, and 5, as genetically close-related species and as independent species group. Furthermore, isolates 6, 7 and 8 were identified as independent species as well.