• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.1039-1042
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• 2005

Recently, a considerable number of studies have been made on the $RFID^{[1-6]}$ systems. RFID is a technique of identifying an object using radio frequency transmission. The technology can be used to identify, track, sort or detect a wide variety of objects. The RFID system is composed of two main elements: a reader and a tag. Tags can either be active (powered by battery) or passive (powered by the reader field). The passive tags communicate back to the reader with a technique called 'backscatter'. RFID technology can be applied to the supply chain, security, logistics industry and etc. Especially, UHF RFID is worth noticing because of its relatively long identification range and commercial UHF RFID systems are under development. In this paper, we designed and implemented a UHF RFID reader firmware for ISO/IEC 18000-6 Type B specification.

• 대한안전경영과학회지
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• 제11권4호
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• pp.221-228
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• 2009

Electronic Product Code Information Services(EPCIS) is an EPCglobal standard for sharing EPC related information between trading partners. EPCIS provides a new important capability to improve efficiency, security, and visibility in the global supply chain. EPCIS data are classified into two categories, master data (static data) and event data (dynamic data). Master data are static and constant for objects, for example, the name and code of product and the manufacturer, etc. Event data refer to things that happen dynamically with the passing of time, for example, the date of manufacture, the period and the route of circulation, the date of storage in warehouse, etc. There are four kinds of event data which are Object Event data, Aggregation Event data, Quantity Event data, and Transaction Event data. This thesis we propose an event-based data model for EPC Information Service repository in RFID based integrated logistics center. This data model can reduce the data volume and handle well all kinds of entity relationships. From the point of aspect of data quantity, we propose a formula model that can explain how many EPCIS events data are created per one business activity. Using this formula model, we can estimate the size of EPCIS events data of RFID based integrated logistics center for a one day under the assumed scenario.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2006년도 춘계학술대회
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• pp.45-53
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• 2006

Ever since the computer came into being in early 20th century, rapid development of the information technology has led to the opening of the ubiquitous age where daily works can be done anywhere, anytime, and with any devices. The information technology has drawn attention from Customs around the world as a key means to fulfill multi-faced responsibilities of strengthening regional cooperation in the international trade, simplifying clearance procedures, expediting logistics flow, and ensuring security in the global supply chain. Korea Customs Service, which began the informatization effort by establishing the electronic export declaration system in 1992, completed the 100% electronic clearance system in 2000, with a number of countries now conducting benchmarking studies on the successful use of IT by KCS. This paper is to address the changes brought to the Customs administration in the information age, the progress and achievement of the Customs informatization as a proactive strategy to deal with the changing environment, and the exportation to overseas administration of the e-clearance system of KCS which strives to become the global leader of Customs informatization. The exportation. in particular, will not only lead to increased foreign currency earnings and shared know how, but also create an opportunity to reflect Korea's system in the standardization of Customs procedures around the world.

• 통상정보연구
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• 제14권1호
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• pp.273-299
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• 2012

일본의 관세 및 세관행정은 매우 보수적이었으며 사회안전 및 국민 안전확보와 무역원활화 가운데 사회안전 및 국민안전확보 측면을 강조해 왔으며, 최근에는 지적재산권 침해물품에 대한 문제를 중요한 과제로 인식하고 있다. 이에 반해서 우리나라의 경우는 통관간소화를 추진하는 과정에서 수출입 신고내용과 물품의 일치여부를 검사비율이 현저하게 낮아져 수입업자가 악용할 수 있는 여지를 두고 있다. 이러한 가운데 일본의 관세 및 세관행정의 변화는 우리나라에게 어느 정도 시사점을 제시하고 있다고 보여진다. 따라서 본 논문에서는 일본의 관세 및 세관행정에 대한 변화에 대한 시사점을 도출하고 이러한 일본의 변화에 대한 우리나라의 대응방안을 제시하였다.

• 디지털산업정보학회논문지
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• 제15권1호
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• 무역학회지
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• 제47권5호
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• pp.289-304
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• 2022

Korea's LNG and crude oil are the most important energy and export raw materials, but 100% import resources by overseas. However, tanker shipping companies, which play the most crucial role in energy cargo security, are very small in number and size, which can be a factor in the supply chain crisis. Therefore, this paper studied the policy of expanding tanker transportation necessary for the transport of crude oil and LNG in Korea. In the existing literature, there was no policy study necessary for tanker ships, but referring only to the importance of overseas energy development and transportation, so we tried to derive various demands necessary for expanding the tanker fleet through expert interviews and AHP which was conducted on 89 related energy institutions to derive policies and their priorities. The results of the study are as follows. As for the policy, the financial support policy was the highest priority, followed by the business and the mutual cooperation policy of related agencies. Tax support (22.6%) and ship financing (19.4%) were the highest priorities, followed by the Energy Intermediate Promotion Act (11.9%), Tanker Guarantee Insurance (10.6%), Energy Budget Independence (9.3%), and Korea Trader Development (8.2%). Energy governance (6.3%), information center establishment (6.2%), and energy procurement committee (5.5%) ranked seventh, eighth, and ninth. The research results show that it is necessary to supply sufficient ships to the market through the expansion of ship finance for tankers and to follow business support policies such as guarantee insurance. In addition, it was also possible to derive that the financial resources need to be determined by law and independent budgets for consistency and continuity.

• 한국통신학회논문지
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• 제35권2B호
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• pp.296-301
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• 2010

RFID 시스템은 무선 전송을 이용하여 물건을 인식하도록 하는 시스템이다. RFID의 응용분야는 그 범위가 매우 다양하고 폭넓은데 그 중 가장 활발하게 적용되는 응용분야는 기업의 공급망 관리이다. 현재는 기업이 RFID 태그가 부착된 물품을 개인에게 판매한 후에는 보안상 문제와 차후 관리의 어려움을 이유로 RFID 태그를 제거하거나 Kill 태그 명령을 내려 RFID 태그의 기능을 정지시킨다. 하지만, 본고에서는 RFID가 부착된 물품이 개인에게 판매되어 소유가 이전될 때 물품의 정보를 전자상품 코드정보 서비스 표준(EPCIS) 서버로부터 개인 물품 관리 서버로 이전하는 시스템 구조를 제안한다. 이 방법을 사용하면 태그를 제거하지 않고도 프라이버시 침해 없이 개인 물품을 관리 할 수 있다. 또한 개인 물품의 위치관리와 그룹관리가 용이한 개인물품관리서버를 제안한다.

• 정보보호학회논문지
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• 제14권6호
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• pp.57-68
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• 2004

근래에, Radio Frequency Identification (RFID) 시스템은 생산, 공급망관리, 재고관리 등의 분야에서 유용하게 사용될 반한 기술로서 산업계에서 많은 관심을 받고 있다. 가까운 미래에는 저렴한 가격의 RFID 태그나 스마트 라벨이 현재 사용되고 있는 바코트 대신 상품관리에 활용될 것으로 알려져 있다. 그러나 작고 값싼 RFID태그의 생산과, 사용자 프라이버시 보호를 위한 안전한 인증프로토콜의 개발은 아직 해결해야 할 문제들이다. 반도체 기술의 발전에도 불구하고, 태그의 계산과 저장능력은 제한되어 있으므로 기존 다른 시스템에 적용되던 암호시스템의 적용은 현실적으로 쉽지 않다. 그러므로 RFID시스템에서 사용할 수 있도록 더 작은 저장 공간과 더 작은 계산량이 소요되는 새로운 프로토콜의 개발이 필요하다. 본 논문에서는 위치트래킹 공격과 스푸핑 공격에 안전한 RFID인증 프로토콜을 제안한다. 제안한 프로토콜은 기존 인증프로토콜보다 데이터베이스에서의 계산랑이 상당히 감소하였으므로 프라이버시 보호를 위한 실질적인 해결책으로 사용이 가능하다.

• Ocean and Polar Research
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• 제45권1호
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• pp.23-31
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• 2023

The core of the foreign policy of the Yoon Suk-yeol government is the promotion of active economic and security diplomacy as indicated in Policy Tasks No. 98. To this end, economic consultative bodies such as Regional Comprehensive Economic Partnership Agreement(RCEP), Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), and Indo-Pacific Economic Framework (IPEF) are taking the initiative to respond to the formation of supply chain, human rights, environment, and digital-related norms, and actively support Korean companies' overseas expansion. Due to the nature of the Ministry of Oceans and Fisheries (MOF) as an organization established centered on the space of the ocean, the MOF faces difficulties in bringing the functions of other ministries into the space of the ocean. Considering the vision, objectives, and detailed plans of the MOF, the contribution of the MOF in the field of active economic security, one of the main foreign policies of the Yoon Suk-yeol government, is perhaps too obvious. However, since the re-launch of the MOF, the ODA budget for the oceans and fisheries sector is too small compared to other ministries, so even if new policy demands are discovered, there are many difficulties in implementing these policies in practice. Recognizing these problems, this paper examines the background and contents of foreign policies that have been promoted for the efficient promotion of RCEP, CPTPP and IPEF and introduces the areas of cooperation in the oceans and fisheries sector in these foreign policies.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.1-7
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.