RFID를 이용한 국가기준점 원격 모니터링 웹 시스템 개발 (Development of Remote Mornitoring Web System for National Control Points using RFID Tags)
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- Spatial Information Research
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- 제15권3호
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- pp.237-249
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- 2007
우리나라에는 전국적으로 약 22,000개의 국가기준점이 설치되어 있다. 그러나 국가기준점의 위치정보를 확인하기 위해서는 기준점 성과표가 필요하며, 국가 주요시설임에도 불구하고 산 정상과 같은 야외에 설치되어 있기 때문에 보호시설이 없는 상태에서 현장점검을 통해서만 관리되고 있다. 본 연구에서는 국가기준점 표석에 부착할 수 있고, 국가기준점이 설치된 환경을 고려한 특수 RFID 태그를 제작하였으며, CDMA 통신이 가능한 PDA기반 모바일 Web 시스템과 국가기준점 관제시스템을 개발하였다. 본 시스템 개발을 통하여 기준점 정보를 현장에서 파악할 수 있고, 국가기준점 관리자가 기준점의 관리 상태 및 사용 이력 등을 파악할 수 있도록 하였다. 본 시스템을 적용할 경우 전국에 산재해있는 국가기준점 정보를 누구나 손쉽게 확인할 수 있고 정보의 변화에 따른 빠른 대응이 가능하며, 관리의 효율성이 높아질 것이다. 향후 유비쿼터스 사회가 도래하면 위치정보의 중요성이 높아질 것이다. 따라서 일반인의 위치정보 확인이 용이한 RFID를 이용한 국가기준점은 측량전문가와 같은 기준점 사용자 및 관리자에게 유용할 뿐만 아니라 일반인을 대상으로 하는 위치기반 부가서비스 창출할 수 있을 것이며, 절대위치 정보 제공 측면에서도 중요한 국가 인프라가 될 것이다.
Knowledge recipes are packages of knowledge which arise from the process of combining the knowledge assets in the organization in distinctive ways. This involves converting them into useful outputs which are the ideal core competitive advantage enablers for companies. The major objective of this study was to propose a knowledge recipe for financial-sector state corporations in Kenya. The study adopted a convergent parallel mixed methods research design. Quantitative and qualitative data were collected using questionnaires and key informant interviews. The target population of the study was 1574 respondents drawn from all financial state corporations. A multistage sampling technique was used for the study. The first phase involved purposive sampling of the organizations to be studied whereby the four state corporations namely: Capital Markets Authority, Competition Authority of Kenya, Kenya Investment Authority, and Kenya Revenue Authority were identified. The second phase entailed stratified sampling of the respondents in three strata namely senior management team, knowledge management team, and general staff. The authors used a census of all senior management team and knowledge management staff while a simple random sampling technique was used for the general staff. By use of the Krejcie and Morgan table, the actual sample size was 358 respondents from all the four organizations. Data were collected using questionnaires and interview schedules. The qualitative data were analyzed using content analysis while the quantitative data were analyzed by the use of Ms. Excel and VOSviewer and presented using pie charts, bar graphs, and tables. The response rate for this study was 257 (72%). The study revealed that while most employees in the financial sector organizations understand their knowledge needs, knowledge types, knowledge uses and knowledge gaps, they do not have a universal knowledge recipe to facilitate effective knowledge management in their organizations. Consequently, the authors propose a universal knowledge recipe for the state corporations in the financial sector in Kenya. The ingredients of the recipe are legal-knowledge (18%), financial knowledge (15%), administrative knowledge (11%), best practice (10%), lessons learnt (8%), human resource knowledge (8%), research and statistics knowledge (7%), product knowledge (6%), policy and procedure knowledge (5%), ICT knowledge (4%), investor knowledge (3%), markets knowledge (2%), general knowledge (2%) and regulatory framework knowledge (1%).
Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in