• 한국디지털정책학회:학술대회논문집
• /
• 2007.06a
• /
• pp.33-40
• /
• 2007

The Customs Administration, unlike other administrative service, should respond to constantly changing external environment. The Customs has to actively adapt itself to government policy changes, economic changes and international environment changes to facilitate the flow of trade logistics and maintain trading relations wi th other countries. The purpose of this paper is to explain policy directions of the Korea Customs Service which enforces various policies related to tariff and non-tariff barrier elimination for the trade liberalization while the Korean government is pursuing FTAs on a multi-track basis. This paper aims to seek ways to apply FTA policies to the Korean society and economy in a smooth manner. First of all, this paper examines changes in Customs administration brought by the proliferation of FTAs to such areas as FTA negotiations, import/export management, duties and taxes collection, drawback reduction/exempt ion of duty application area of preferential tariff rate and country of origin management. Then, the paper sets FTA missions of "supporting Customs Administration to lead the new trend of free trade environment" after analyzing the environment changes. To achieve the FTA mission mentioned above, the KCS designated 4 strategies and 40 implementation tasks. The 4 strategies are named "4C Strategies" taking initial letters from Client-oriented, Customized procedures, Cooperation and Constitution. "4C" also refers to Foresee(strategies to foresee the successful establishment of FTA policies) or For C(Customer or Customs). The KCS will continue to create new tasks through various channels and monitor their implementation process, and to help FTA regime successfully take root in Korea.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.4
• /
• pp.195-204
• /
• 2008

Textile industry of Domestic has beeb confronted with Free Trade, and Regional Trade Blocks. In addition, textile industry market is changing from the provider market-oriented to consumer-driven market. RFID is the core technology to correspond in the these environmental change. In this study, we reviewed characteristic and present condition of domestic textile industry and newest technology aspect of RFID. Also, we suggested application plan of RFID technology in textile industry through the analyzing RFID application case of domestic and outside the country textile industry. More precisely, it is propsed that tracking, inspecting and logistics management of raw materials or yarn in up-stream, and Development hysteresis and process management of textile fabrics in middle-stream sector, theftproofing or returning clothes and providing information of products in down-stream sector, through RFID Technology.

• Journal of Information Processing Systems
• /
• v.15 no.6
• /
• pp.1422-1437
• /
• 2019

With the rapid development of the Internet and the Mobile Internet, social communication based on the network has become a life style for many people. WeChat is an online social platform, for about one billion users, therefore, it is meaningful to study the spreading and evolution mechanism of the rumor on the WeChat social circle. The Rumor was injected into the WeChat social circle by certain individuals, and the communication and the evolution occur among the nodes within the circle; after the refuting-rumor-information injected into the circle, subsequently,the density of four types of nodes, including the Susceptible, the Latent, the Infective, and the Recovery changes, which results in evolving the WeChat social circle system. In the study, the evolution characteristics of the four node types are analyzed, through construction of the evolution equation. The evolution process of the rumor injection and the refuting-rumor-information injection is simulated through the structure of the virtual social network, and the evolution laws of the four states are depicted by figures. The significant results from this study suggest that the spreading and evolving of the rumors are closely related to the nodes degree on the WeChat social circle.

• Journal of the Society of Naval Architects of Korea
• /
• v.45 no.6
• /
• pp.646-655
• /
• 2008

A main issue about production management of shipyards is to efficiently manage the work in process and logistics. However, so far the management of a transporter for moving building blocks has not been efficiently performed. To solve the issues, optimal block transporting scheduling system is developed for minimizing of the travel distance without overload of a transporter. To implement the developed system, a hybrid optimization algorithm for an optimal block transportation scheduling is proposed by combining the genetic algorithm and the ant algorithm. Finally, to evaluate the applicability of the developed system, it is applied to a block transportation scheduling problem of shipyards. The result shows that the developed system can generate the optimal block transportation scheduling of a transporter which minimizes the travel distance without overload of the transporter.

• Journal of the Society of Naval Architects of Korea
• /
• v.45 no.6
• /
• pp.569-578
• /
• 2008

The Coanda effects demonstrate that a jet stream applied tangential to a curved surface can generate lift force by increasing the circulation. Many experimental and numerical studies have been performed on the Coanda effect and it is found to be useful in various fields of aerodynamics. The Coanda effect may have practical application to marine hydrodynamics since various control surfaces are being used to control behaviors of ships and offshore structures. In the present study, numerical computations are performed to find the applicability of the Coanda effect to the marine control surfaces. For the purpose, changes in flow characteristics around a flapped foil due to the Coanda effect have been simulated by RANS equations discretized with a cell-centered finite volume method (FVM). In the process, special attention has been given to the influence of jet nozzle arrangement on the lift characteristics of the Coanda foil. It is found that the shape as well as the location of the jet intake and jet exit affects the lift performance of the foil significantly.

• Proceedings of the Korean Society of Propulsion Engineers Conference
• /
• 2017.05a
• /
• pp.142-143
• /
• 2017

As weapons systems are fused with advanced technologies, many of the expenses for research and development are favorites, and that group demands high reliability of weapons systems before the lifecycle. However, empirical studies on the reliability of defense weapons systems are restricted to lack of attention and limitation of data. In this research, we proposed the process of collecting field operation specifications based on the experience gathered by visiting directly to the weapons system operator's trap, strategy and maintenance support force (COMROKFLT, Naval Logistics Command, Naval Shipyard, production company). We used this to derive the operation MTBF of the solubility inducing bullet shooting system and compared it with the target value at the time of development.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2018.05a
• /
• pp.129-130
• /
• 2018

In shipping logistics, despite the fact that it has promoted the information processing process, the use of the document exchange mechanism has caused a problem of increasing the cost and lead time. In recent years, various types of projects are in progress in preparation for full-scale introduction of a blockchain technology capable of solving the document exchange mechanism in the shipping industry, In near future, by expanding the practical application scope, it is aiming to increase competitiveness through transparency, reliability, stability, and efficiency, which are the effects of application of the block chain technology.

• Journal of Industrial Technology
• /
• v.39 no.1
• /
• pp.27-31
• /
• 2019

Semiconductor logistics systems are facing difficulties in increasing production as production processes become more complicated due to the upgrading of fine processes. Therefore, the purpose of the research is to design predictive models that can predict traffic during the pre-planning stage, identify the risk zones that occur during the production process, and prevent them in advance. As a solution, we build FABs using automode simulation to collect data. Then, the traffic prediction model of the areas of interest is constructed using deep learning techniques (keras - multistory conceptron structure). The design of the predictive model gave an estimate of the traffic in the area of interest with an accuracy of about 87%. The expected effect can be used as an indicator for making decisions by proactively identifying congestion risk areas during the Fab Design or Factory Expansion Planning stage, as the maximum traffic per section is predicted.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2011.06a
• /
• pp.269-271
• /
• 2011

E-commerce done by between buyers and sellers mainly rely on computer networks and business transactions are carried out according to certain standards of various business activities. E-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. In this paper, we investigate for online shopping, for example, to illustrate the current problems in an area of clothes market. Also we proposed an ideal model appropriate to increase sales and show the analysis results compared to conventional clothes market in open market.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.5
• /
• pp.253-263
• /
• 2021

Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.