EPC Information Services (EPCIS) is an EPCglobal standard designed to enable EPC-related data sharing within and across supply chain. The EPCIS standard defines standard interfaces to enable EPC-related data to be captured and subsequently to be queried using a set of service operations and an associated data model. There are two kinds of EPCIS data: event data and master data. Event data is created in the process of carrying out business processes. Traceability of goods across supply chain is based on event data. Therefore, each company must have an event data. This study compared he difference between MS-SQL(DRDBMS) and ALTIBASE(MMDBMS) for data storage. We compared the difference between two database management in many respects such as insert time and select time. We come to a conclusion that ALTIBASE is more efficient than MS-SQL.

일반적으로 물류센터에서는 많은 작업이 발생하고, 처리되는 물품 또한 그 수량이 매우 많아서 작업 제품 정보들을 빠르고 정확하게 처리하기 위해서는 많은 비용이 발생한다. 이러한 오류를 줄이고, 실시간 정보처리, 객체의 가시성 확보, 제품 이력 추적 등의 이점을 얻기 위해 RFID 기술을 도입하는 기업들이 증가하는 추세이며, 최근에는 RFID를 활용하여 전 세계적으로 표준화된 단일 네트워크를 만들고자 하는 EPC Global Network에 대한 필요성이 증가하고 있다. 본 연구에서는 EPC Global Network의 게이트웨이 역할을 하는 EPCIS에서, 정보의 저장소 역할을 하는 EPCIS Repository의 최적화에 대해 연구한다. 실제 물류 센터에서 발생하는 비즈니스 프로세스를 바탕으로 시나리오를 작성하고, 물류센터의 시나리오에 따라 발생되는 EPC 데이터를 DRDBMS와 MMDBMS를 통해 각각 저장하고 검색하여 두 DBMS의 성능을 비교하였다. DRDBMS는 MS-SQL을 사용하였고, MMDBMS는 ALTIBASE를 사용하였다. 실험 결과 AlTIBASE가 MS-SQL보다 좋은 성능을 보임을 알 수 있었다.

The air logistics process is complex and need many informations because various agencies participate in the logistics service and there are many stakeholders in air logistics. But it is hard to improve the infra of facilities because of an enormous expense, so it needs to simplify air logistics process for growing air freight. When documents are sent, it needs to change the form of documents in spite of same document due to different form by agencies. Also documents are changed even though different documents have same informations. Consequently, errors are increased because the names of the same data are different from each other and stakeholders reproduce the documents. In order to mitigate these problems, we selected documents and analyzed data of documents for the interface optimization in general air logistics process. Next, we unified the names of data and defined contents of data. Also we set the type of the defined data on DB type, and gave the code to the defined data. It made easy to exchange informations among the stakeholders to match documents corresponding with the defined data.

The purpose of this study is on comparing complementary forest of village between Korea and China. For this, Jinan of Korea and Qingzhou of China were selected through the pre-survey about the representative region of both country. The main research method was literature study, field study and interview with local residents. The comparative analysis between two regions was performed by frequency analysis of surveyed data. Which shows complementary forest of village in two regions has so much in common and also has many differences which is related with the local practical life. As a result, it was identified that the area and remained number, concentration degree of Jinan were greater than those of Cheongju. But it was identified that the linear form and location were similar in both regions. Through these identification, it is helpful to establish policy direction of both countries about the complementary forest.