• The Magazine of the IEIE
• /
• v.36 no.11
• /
• pp.52-65
• /
• 2009

• Proceedings of the KHMA Conference
• /
• 2010.11a
• /
• pp.255-255
• /
• 2010

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1988.10a
• /
• pp.12-12
• /
• 1988

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2011.06a
• /
• pp.320-326
• /
• 2011

• Proceedings of the Korean Vacuum Society Conference
• /
• 1998.02a
• /
• pp.116-117
• /
• 1998

• Pallet News
• /
• s.63
• /
• pp.5-6
• /
• 2011

본 원고는 지난 8월 30일 한국경제신문에 기재된 기사로 물류기기 제품의 생산 및 자동화시스템 개발을 선도하는 (주)골드라인 이홍기 회장의 인터뷰입니다.

• The Bimonthly Magazine for Agrochemicals and Plant Protection
• /
• v.2 no.12
• /
• pp.28-34
• /
• 1981

• The Journal of the Korean dental association
• /
• v.15 no.9
• /
• pp.690-691
• /
• 1977

• Korea Petroleum Association Journal
• /
• no.7 s.173
• /
• pp.80-92
• /
• 1995

이 자료는 지난 5월 25일 상공회의소에서 열린 '국내외 환경동향과 한국산업의 선택'에 관한 토론회에서 발표된 내용을 옮긴 것이다. <편집자 주>

• Journal of KIISE:Databases
• /
• v.34 no.1
• /
• pp.84-97
• /
• 2007

Selectivity estimation techniques in query optimization have been used in commercial databases and histograms are popularly used for the selectivity estimation. Recently, the techniques for spatio-temporal databases have been restricted to existing temporal and spatial databases. In addition, the selectivity estimation techniques focused on time-series data such as moving objects. It is also impossible to estimate selectivity for range queries with a time interval. Therefore, we construct two histograms, CMH (current multidimensional histogram) and PMH (past multidimensional histogram), to estimate the selectivity of multidimensional sequence data in spatio-temporal databases and propose effective selectivity estimation methods using the histograms. Furthermore, we solve a problem about the range query using our proposed histograms. We evaluated the effectiveness of histograms for range queries with a time interval through various experimental results.