• The Journal of Information Technology
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• v.3 no.1
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• pp.155-175
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• 2000

Electronic commerce has already existed for over 20 years. In sectors such as retail and automotive, electronic data interchange(EDI) for application-to-application interaction is being used regularly. For defence and heavy manufacturing, electronic commerce life-cycle management concepts have been developed that aim to integrate information across larger parts of the value chain, from design to maintenance, such as CALS(Computer Assisted Life-cycle Support or Computer Aided Logistics Support). Bolero's mission is to provide guaranteed and secure delivery, in electronic form, of trade documentation, globally, based on a binding legal environment and common procedures. Bolero will also provide a platform for provision of neutral cross-industry services.

• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.229-242
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• 2011

The assorting process in distribution center is one of the most difficult and time-consuming process. The improvement of assorting productivity is a core element which decides efficiency of a distribution center. The time to shipping from receiving depends on assorting such as sorting by customer. To enhance efficiency of assorting typically uses the put to light system composed of computer and digital indicator etc. Generally the layout of put to light system has been performed rather than scientific analysis by a common experience. Therefore, this study analyzes the impact of assorting performance by the number of aisle in assorting process of put to light system.

• 한국IT서비스학회:학술대회논문집
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• 2005.05a
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• pp.575-579
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• 2005

A Shared Services center (SSC) is created by removing common administrative functions from operational divisions within an organization, and centralizing the functions in a separate centre. SSC helps supporting organizations to focus on core activities and to achieve cost reduction as well as service quality enhancement. In contrast to many leading global companies which has been adopted SSCs from early 90's. A Company's HR SSC which has opened this year is the first genuine SSC practice in Korea. Centering on the case of A Company' s HR SSC implementation, we discussed on some practical implications for companies which has future plan to introduce a shared service center.

• Journal of Navigation and Port Research
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• v.33 no.2
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• pp.127-134
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• 2009

If the research on double cycle is revitalized, crane productivity will be rapidly improved bemuse double cycle is an operational technique that can maximize equipments efficiency (Quay crane, RMG/RTG, Yard tractor). Unfortunately, it is very difficult for terminal operators to find out the starting point of double cycle bemuse the loading & unloading pattern and conditions are various. Therefore, terminal operators are apt to fail to find out the optimal starting point of double cycle to maximize its frequency. Experiencing the same mistakes in the process we made efforts to find out the optimal starting point, finally we found out the formula for it. And we verified its precision is perfect through a lot of testing. This paper on double cycling focused on making the formula to find out optimal starting point of double cycle to maximize its frequency. And it can be applied to various ships' stowages in common.

• IE interfaces
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• v.19 no.1
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• pp.1-8
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• 2006

The mobile communication network has to offer good quality of services (QoS), high capacity, and more coverage at a lower cost. However, with the increase of cellular user, the shortage of capacity due to unbalanced call distribution and lack of QoS are common. This paper deals with dynamic sectorization for efficient resource management to solve load unbalancing among microcells in CDMA (Code Division Multiple Access) microcellular system. Dynamic load balancing can be effected by grouping micro-cells properly and grouping can be developed through a routing mechanism. Therefore, we use ants and their routes to choose the optimum grouping of micro-cells into sectors using Multiple Ant Colony System (MACS)in this paper.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.571-574
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• 2018

물류 배송은 우리 생활에 꼭 필요한 시스템 중 하나이다. 대한민국의 물류 시스템은 그 영토의 규모에 잘 부합되도록 체계적으로 정비되어 있으나, 배송 경로의 낭비 역시 존재한다. 본 논문에서는 Big Data, Deep Learning, IoT 와 같은 첨단 정보 기술을 이용하여 상기한 문제를 해결하고자 하였다. 물류의 특성을 고려하여 설계한 데이터 모델을 통신 기능과 위치 판별 기능이 포함된 IoT Device 를 통해 수집하고 NoSQL Database 상에 저장한다. 이후 Longest Common Subsequence Algorithm 을 이용한 Deep Learning 으로 수집 된 Data를 학습시킨다. 배송이 발생했을 때 학습된 Data 를 기반으로 해당 배송의 경로 분석을 실시하여 기존의 경로보다 시간적, 물질적 자원이 절약된 새로운 배송 경로를 IoT Device 를 통해 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.270-272
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• 2019

택배 배달 서비스는 전국적 물류의 중요 부분이다. 노선이 잘못되면 시간과 비용 면에서 경제적 불이익이 발생할 수 있다. 이러한 위험을 최소화하기 위해 물류 회사나 IoT 기기 등에서 실제 배송 데이터 10만 개를 수집하여 최소 거리와 최소 시간의 관점에서 최적의 허브 후보 위치를 분석하였다. 택배의 공통 경로 데이터는 실제 택배의 경로 데이터에 Longest Common Route Sequence 알고리즘을 사용하여 계산하였다. 계산한 택배의 공통 경로 데이터를 기반으로, 최적의 허브 후보 위치를 설정하고, 이로부터 최적의 거리와 시간을 계산할 수 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.415-416
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• 2022

Marine pilot occupational accidents during transfer to/from the ship are at the top of the agenda after several safety campaigns by IMPA and individual attemptsThere is multiple transfer method for the marine pilot, but a most common way is to use the pilot cutter. This paper aims to predict marine pilot occupational accidents before it occurs by using historical data. Since the problem depends on several variables, this paper develops a model by using the random forest method to predict marine pilot accidents before happening with the random forest method by using RStudio software

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.641-651
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• 2023

Malicious hate speech and gender bias comments are common in online communities, causing social problems in our society. Gender bias and hate speech detection has been investigated. However, it is difficult because there are diverse ways to express them in words. To solve this problem, we attempted to detect malicious comments in a Korean hate speech dataset constructed in 2020. We explored bidirectional encoder representations from transformers (BERT)-based deep learning models utilizing hyperparameter tuning, data sampling, and logits ensembles with a label distribution. We evaluated our model in Kaggle competitions for gender bias, general bias, and hate speech detection. For gender bias detection, an F1-score of 0.7711 was achieved using an ensemble of the Soongsil-BERT and KcELECTRA models. The general bias task included the gender bias task, and the ensemble model achieved the best F1-score of 0.7166.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.223-224
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• 2014

Along with container freights keep increasing globally, lots of containers used for inland distribution increase steadily too. In Korea, there are many modes to transfer container freights such as roadway, railroad, coastal shipment. The roadway transportation is the most common but it is considered as the most inefficient mode. This paper studies about reasons that affect to the inefficiency of roadway transport and finds solution to resolve the problem. First backhaul transportation is addressed and some suggested solutions are presented such as construction of inland inspection center or managing efficiently container management. Then mathematical model is used to show the quantitative evaluation of backhaul transport solution.