• IE interfaces
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• v.19 no.4
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• pp.333-341
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• 2006

RFID (Radio Frequency Identification) is a technology that can input identification information to microchip and make goods, animals, persons recognized, chased, and managed using radio frequency, and is founded on the core technology of ubiquitous environment of the future. In this paper, we propose a RFID integrated system designed to manage the lifecycle of an individual product efficiently. The proposed system can enable traceability and visibility of items through their entire life by integrating distribution and banking information on the basis of EPCglobal Network. It may provide the infra of Digital Manufacturing and RTE (Real Time Enterprise) and effective information sharing structure with existing legacy system (ERP, CRM, SCM) by real time.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.394-397
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• 2019

센서 및 정보 통신 기술의 발전은 산업 현장에서 취득한 정보를 기반으로 다양한 연구를 수행할 수 있는 토대가 되었다. 본 연구에서는 철도의 진로 방향을 전환하는 선로 전환기 주변에 설치한 소리 센서에서 수집한 소리를 기반으로 선로 전환기의 이상 상황을 탐지하고자 한다. 이와 같은 소리 데이터 기반의 이상 상황 탐지 시스템을 실제 산업 현장에서 성공적으로 운용되기 위해서는 소리 취득 시 발생하는 다양한 잡음 환경에서도 이상 상황을 식별할 수 있는 강인함이 보장되어야 한다. 본 논문에서는 소리 음질을 향상시키기 위하여 SEGAN(Speech Enhancement Generative Adversarial Network)을 활용하며, CNN(Convolutional Neural Network)을 기반으로 선로 전환기의 이상 상황을 식별하는 시스템을 제안한다. 수집된 소리 데이터를 기반으로 제안한 시스템을 실험적으로 검증한 바 잡음에 강인한 성능을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.720-722
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• 2009

Optimal operation of electric power generating plants is very essential for any power utility organization to reduce input costs and possibly the prices of electricity in general. This paper developed models for load forecasting using neural networks approach. This model is tested using actual load data of the Busan and weather data to predict the load of the Busan for one month in advance. The test results showed that the neural network forecasting approach is more suitable and efficient for a forecasting application.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.192-200
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• 2021

In the mid of the December 2019, the virus has been started to spread from China namely Corona virus. It causes fatalities globally and WHO has been declared as pandemic in the whole world. There are different methods which can fit such types of values which obtain peak and get flattened by the time. The main aim of the paper is to find the best or nearly appropriate modeling of such data. The three different models has been deployed for the fitting of the data of Coronavirus confirmed patients in Pakistan till the date of 20^th November 2020. In this paper, we have conducted analysis based on data obtained from National Institute of Health (NIH) Islamabad and produced a forecast of COVID-19 confirmed cases as well as the number of deaths and recoveries in Pakistan using the Logistic model, Gompertz model and Auto-Regressive Integrated Moving Average Model (ARIMA) model. The fitted models revealed high exponential growth in the number of confirmed cases, deaths and recoveries in Pakistan.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.728-737
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• 2011

For the real time monitoring and tracking of shipping container which is one of the core objects for global logistics, Wireless Ad-Hoc Network technology might be needed in stacking environments such as ports, yards and ships. In this paper, we propose a container network routing protocol suitable for port or yard stacking environments which include some constraints such as shadow area problem from metal material, frequent movement of container, etc. With this protocol in which a mesh network algorithm is applied, every container data packet can be delivered to the sink node reliably even with frequent join/leave of container nodes. As soon as a node on path gets malfunction, alternative backup path is supported with notice to neighbor node, which makes constant total optimal path. We also verified that the performance of proposed protocol is better than AODV, one of previous major MANet(Mobile Ad-Hoc Network) protocol with a function for alternative path, which says the proposed protocol is better for frequent join/leave and variable link quality.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.477-484
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• 2016

Although ports play one of the most important roles in international trade, little research has been done on the influence of Free Trade Agreements (FTAs) on maritime transport and port volume. While the quantity of goods transported is a great indicator for composing ship groups that can lead to an expansion of port infrastructure, routes, ships, and processing abilities; previous research has focused only on the amount of money involved. Even though it is essential to understand the expected economic effects that FTAs will bring in the future, this study analyzes the current influences of FTAs, that have been already contracted, using existing experimental data. Study results show how FTA affects the volume of transported goods in South Korea with the example of the FTA between South Korea and India. Finally, we provide a network model based on the existing experiment data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1214-1219
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• 2009

Many studies are being applied for various parts of USN (Ubiquitous Sensor Network) technology. The world's large retail stores and warehouses that apply logistic management are also studied. With this, USN technology is increasing in its utilization. However, to handle and process real-time data will never be never easy if these huge warehouses are using too many sensors, and real-time data correction is almost impossible. Software implementation and high-speed hardware are insufficient to solve these complex problems. To solve this problem, a key solution is to implement high-speed software. Hence, this paper suggests a USN logistics management system that applies pipelining techniques for efficiency in real-time data correction and reduces errors of generated values.

• Journal of Navigation and Port Research
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• v.31 no.6
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• pp.545-553
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• 2007

Due to the change of global production network, the establishment of new strategy in Korea ports is required Especially, the trade pattern has been mainly concentrated in Northeast Asia region according to economic growth of the Asia including China, Japan, and Korea. Hence, Korea major ports with the competition of price and service has to meet the need of Northeast port alliance and has to compete against other countries in variable trade environment. Therefore, the objective of this study is to propose a port alliance strategy in order to promote the transshipment of Korea major ports such as Pusan port and Gwangyang port. In order to establish the logistics business model in the ports, we provided the direction of the Northeast port alliance and candidate ports in China and Japan.

• Journal of Navigation and Port Research
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• v.32 no.8
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• pp.675-683
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• 2008

This paper develops a framework of combining Balanced Scorecard (BSC) and Quality Function Deployment (QFD) using Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) and evaluates the performance factors of container terminals using the framework. This study designs a BSC of container terminals and then transforms this into QFD in order to determine the priority of performance factors. This paper provides a modified QFD model and shows a causal relationship among perspectives of BSC to find out critical performance factors of container terminals. This modified QFD model is different from traditional models in that a correlation and relation matrix is presented. This combination of BSC and QFD with AHP and ANP helps to create more realistic and accurate representation of QFD models.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.53-60
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• 2020

Evaluating the operational efficiency of electric vehicle charging stations (EVCSs) is important to understand charging network evolution and the charging behavior of electric vehicle users. However, aggregation of efficiency performance metrics poses a significant challenge to practitioners and researchers. In general, the operational efficiency of EVCSs can be measured as a complicated function of various factors with multiple criteria. Such a complex aspect of managing EVCSs becomes one of the challenging issues to measure their operational efficiency. Considering the difficulty in the efficiency measurement, this paper suggests a way to measure the operational efficiency of EVCSs based on data envelopment analysis (DEA). The DEA model is formulated as constant returns of output-oriented model with five types of inputs, four of them are the numbers of floating population and nearby charging stations, distance of nearby charging stations and traffic volume as desirable inputs and the other is the traffic speed in congestion as undesirable one. Meanwhile, the output is given by the charging frequency of EVCSs in a day. Using real-world data obtained from reliable sources, we suggest operational efficiencies of EVCSs in Seoul and discuss implications on the development of electric vehicle charging network. The result of efficiency measurement shows that most of EVCSs in Seoul are inefficient, while some districts (Nowon-gu, Dongdaemun-gu, Dongjak-gu, Songpa-gu, Guro-gu) have relatively more efficient EVCSs than the others.