• Title/Summary/Keyword: area/time tradeoffs

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The Montgomery Multiplier Using Scalable Carry Save Adder (분할형 CSA를 이용한 Montgomery 곱셈기)

  • 하재철;문상재
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.10 no.3
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    • pp.77-83
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    • 2000
  • This paper presents a new modular multiplier for Montgomery multiplication using iterative small carry save adder. The proposed multiplier is more flexible and suitable for long bit multiplication due to its scalable property according to design area and required computing time. We describe the word-based Montgomery algorithm and design architecture of the multiplier. Our analysis and simulation show that the proposed multiplier provides area/time tradeoffs in limited design area such as IC cards.

An Implementation on the High Speed Blowfish

  • Park, Jong-Tae;Rhee, Kang-Hyeon
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.635-638
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    • 2002
  • Blowfish is a symmetric block cipher that can be used as a drop-in replacement fur DES or IDEA. It takes a variable-length key, from 32bit to 448bit, making it ideal for both domestic and exportable use. This paper is somewhere middle-of-the-line, where this paper made significant tradeoffs between speed, size and ease of implementation. The main focus was to make an implementation that was usable, moderately compact, and would still run at an acceptable clock speed. For the real time process of blowfish, it is required that high-speed operation and small size hardware. So, A structure of new adders constructed in this study has all advantages abstracted from other adders. As for this new adder, area cost increases by 1.06 times and operation speed increases by 1.42 times.

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Range Query Processing of Distributed Moving Object Databases using Scheduling Technique (스케쥴링 기법을 이용한 분산 이동 객체 데이타베이스의 범위 질의 처리)

  • Jeon, Se-Gil;Hwang, Jae-Il;Nah, Youn-Mook
    • Journal of Korea Spatial Information System Society
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    • v.6 no.2 s.12
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    • pp.51-62
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    • 2004
  • Recently, the location-based service for moving customers is becoming one of the most important service in mobile communication area. For moving object applications, there are lots of update operations and such update loads are concentrated on some particular area unevenly. The primary processing of LBS application is spatio-temporal range queries. To improve the throughput of spatio-temporal range queries, the time of disk I/O in query processing should be reduced. In this paper, we adopt non-uniform two-level grid index structures of GALIS architecture,which are designed to minimize update operations. We propose query scheduling technique using spatial relationship and time relationship and a combined spatio-temporal query processing method using time zone concepts to improve the throughput of query processing. Some experimental results are shown for range queries with different query range to show the performance tradeoffs of the proposed methods.

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An Efficient Range Query Processing of Distributed Moving Object (분산 이동 객체 데이터베이스의 효율적인 범위 질의 처리)

  • Jeon, Se-Gil;Woo, Chan-Il
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.42 no.1
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    • pp.35-40
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    • 2005
  • Recently, the location based service for moving customers is becoming one of the most important service in mobile communication area and for moving object applications, there are lots of update operations and such update loads are concentrated on some particular area unevenly. The primary processing of LBS application is spatio-temporal range queries and to improve the throughput of spatio-temporal range queries, the time of disk I/O in query processing should be reduced. In this paper, we adopt non-uniform two-level grid index structure, which are designed to minimize update operations. We propose query scheduling technique using spatial relationship and time relationship and a combined spatio-temporal query processing method using time zone concepts to improve the throughput of query processing. Some experimental results are shown for range queries with different query range to show the performance tradeoffs of the proposed methods.

Range Query Processing using Space and Time Filtering in Fixed Grid Indexing (고정 그리드 인덱싱에서 공간과 시간 필터링을 이용한 범위 질의 처리)

  • Jeon, Se-Gil;Nah, Yun-Mook
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.835-844
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    • 2004
  • Recently, the location-based service for moving customers is becoming one of the most important service in mobile communication area. For moving object applications, there are lots of update operations and such update loads are concentrated on some particular area unevenly. Range queries, whose range can be window or circular, are the most essential query types in LBS. We need to distinguish completely contained cells from partially contained cells in those range queries. Also, it is necessary to consider temporal dimension to filter out qualifying objects correctly. In this paper, we adopt two-level index structures with fixed grid file structures in the second level, which are designed to minimize update operations. We propose a spatial ceil filtering method using VP filtering and a combined spatio-temporal filtering method using time gone concepts. Some experimental results are shown for various window queries and circular queries with different filtering combinations to show the performance tradeoffs of the proposed methods.