• 제목/요약/키워드: symmetric tree

검색결과 24건 처리시간 0.022초

Constraint Algorithm in Double-Base Number System for High Speed A/D Converters

  • Nguyen, Minh Son;Kim, Man-Ho;Kim, Jong-Soo
    • Journal of Electrical Engineering and Technology
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    • 제3권3호
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    • pp.430-435
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    • 2008
  • In the paper, an algorithm called a Constraint algorithm is proposed to solve the fan-in problem occurred in ADC encoding circuits. The Flash ADC architecture uses a double-base number system (DBNS). The DBNS has known to represent the multi-dimensional logarithmic number system (MDLNS) used for implementing the multiplier accumulator architecture of FIR filter in digital signal processing (DSP) applications. The authors use the DBNS with the base 2 and 3 to represent binary output of ADC. A symmetric map is analyzed first, and then asymmetric map is followed to provide addition read DBNS to DSP circuitry. The simulation results are shown for the Double-Base Integer Encoder (DBIE) of the 6-bit ADC to demonstrate an effectiveness of the Constraint algorithm, using $0.18{\mu}\;m$ CMOS technology. The DBIE’s processing speed of the ADC is fast compared to the FAT tree encoder circuit by 0.95 GHz.

A Statistical Termodynamic Study of Phase Equilibria in Microemulsions

  • Kyung-Sup Yoo;Hyungsuk Park
    • Bulletin of the Korean Chemical Society
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    • 제12권3호
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    • pp.334-342
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    • 1991
  • To investigate the phase equilibria and structural properties of microemulsions, we study a simple phenomenological model on the basis of the cubic lattice cell with which the oil- and water-filled cells are connected one another, respectively. The surfactant is assumed to be insoluble in both oil and water, and to be adsorbed at the oil-water interface. The Schulman condition, according to which the lateral pressure of the surfactant layer is compensated by the oil-water interfacial tension, is found to hold to good approximation in the middle-phase microemulsion. Our results show that the oil- and water-filled domains in that microemulsion are about 50-150 $\AA$ across, and depend sensitively on the curvature parameters. The phase diagram is not symmetric in this model. It may be asymmetrized intrinsically by non-equivalency of oil and water. The two- and tree-phase equilibria including critical points and critical endpoints are found.

이중 해시체인 기반의 명령어 메시지 인증 메커니즘 설계 (Design of Authentication Mechinism for Command Message based on Double Hash Chains)

  • 박왕석;박창섭
    • 융합보안논문지
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    • 제24권1호
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    • pp.51-57
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    • 2024
  • 최근 산업제어시스템은 정보기술과 운영기술을 융합하는 Industrial IoT의 도입과 함께 진화를 계속하고 있지만, 과거에는 경험하지 못한 다양한 사이버 공격 역시 증가하고 있다. 제어센터에서 전송되는 다양한 명령어 메시지를 통해 시스템을 구성하는 필드 디바이스들에 대한 모니터링 및 운영 제어가 행해지기에 명령어 메시지에 대한 무결성과 더불어 제어센터에 대한 인증은 필수 요구사항이 되고 있다. 기존의 대칭키 기반의 메시지인증코드 방식 또는 공개키 기반의 서명 방식은 제어센터 그리고 자원 제약적 필드 디바이스의 비대칭성에 따른 적용상의 제약들이 존재한다. 특히, 대칭키 방식에서는 필드 디바이스에 설치된 대칭키가 공격자에게 노출되면 시스템 전반적인 보안 문제점이 발생한다. 본 논문에서는 명령어 메시지를 구성하는 구성 필드들이 취할 수 있는 데이터 값들이 제한적(낮은 엔트로피)이라는 점에 착안하여 암호해시함수로 구축된 이중 해시체인을 통한 메시지 인증기법을 제안한다. 한 쌍의 이중 해시체인은 오직 한 개의 명령어 메시지에 적용되기에 다중 사용을 위한 Merkle 트리에 기반을 둔 확장 기법 역시 제안한다. 메시지 인증을 위해 암호해시함수 이외의 암호 프리미티브는 사용이 안되기에 계산 복잡도는 매우 낮게 유지될 수 있음을 성능평가를 통해 확인한다.

Symmetric Searchable Encryption with Efficient Conjunctive Keyword Search

  • Jho, Nam-Su;Hong, Dowon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권5호
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    • pp.1328-1342
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    • 2013
  • Searchable encryption is a cryptographic protocol for searching a document in encrypted databases. A simple searchable encryption protocol, which is capable of using only one keyword at one time, is very limited and cannot satisfy demands of various applications. Thus, designing a searchable encryption with useful additional functions, for example, conjunctive keyword search, is one of the most important goals. There have been many attempts to construct a searchable encryption with conjunctive keyword search. However, most of the previously proposed protocols are based on public-key cryptosystems which require a large amount of computational cost. Moreover, the amount of computation in search procedure depends on the number of documents stored in the database. These previously proposed protocols are not suitable for extremely large data sets. In this paper, we propose a new searchable encryption protocol with a conjunctive keyword search based on a linked tree structure instead of public-key based techniques. The protocol requires a remarkably small computational cost, particularly when applied to extremely large databases. Actually, the amount of computation in search procedure depends on the number of documents matched to the query, instead of the size of the entire database.

무선센서네트워크에서 다항식 비밀분산을 이용한 공개키 인증방식에 관한 연구 (A study on Public Key Authentication using Polynomial Secret Sharing in WSN)

  • 김일도;김동천
    • 한국정보통신학회논문지
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    • 제13권11호
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    • pp.2479-2487
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    • 2009
  • 센서네트워크의 인증과 관련된 초기의 연구에서는 센서노드의 자원제약적인 특징을 고려하여 대칭키 기반의 인증 방식이 주로 제안되었으나, 최근에는 암호알고리즘의 성능이 개선되고 센서노드의 제조기술이 발달하여 Merkle 트리 방식 등 공개키 기반의 인증 방식도 제안되고 있다. 따라서 본 연구에서는 센서네트워크에 효과적으로 적용될 수 있는 새로운 개념의 다항식 비밀분산을 이용한 공개키 인증방식을 제안하며, hash 함수를 이용한 악의적 노드탐지 기법도 제안한다. 제안된 인증방식은 Shamir의 임계치 기법에 변형된 분산정보의 일종인 지수(exponential) 분산정보 개념을 적용하여 동시에 주변 노드들을 인증하면서 센서노드의 자원을 최소로 사용하고 네트워크의 확장성을 제공한다.

An Optimal Algorithm for the Sensor Location Problem to Cover Sensor Networks

  • 김희선;박성수
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.17-24
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    • 2006
  • We consider the sensor location problem (SLP) on a given sensor field. We present the sensor field as grid of points. There are several types of sensors which have different detection ranges and costs. If a sensor is placed in some point, the points inside of its detection range can be covered. The coverage ratio decreases with distance. The problem we consider in this thesis is called multiple-type differential coverage sensor location problem (MDSLP). MDSLP is more realistic than SLP. The coverage quantities of points are different with their distance form sensor location in MDSLP. The objective of MDSLP is to minimize total sensor costs while covering every sensor field. This problem is known as NP-hard. We propose a new integer programming formulation of the problem. In comparison with the previous models, the new model has a smaller number of constraints and variables. This problem has symmetric structure in its solutions. This group is used for pruning in the branch-and-bound tree. We solved this problem by branch-and-cut(B&C) approach. We tested our algorithm on about 60 instances with varying sizes.

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Application of Constraint Algorithm for High Speed A/D Converters

  • ;여수아;김만호;김종수
    • 융합신호처리학회논문지
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    • 제9권3호
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    • pp.224-229
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    • 2008
  • In the paper, a new Constraint algorithm is proposed to solve the fan-in problem occurred in the encoding circuitry of an ADC. The Flash ADC architecture uses a Double-Base Number System(DBNS). The DBNS has been known to represent the Multidimensional Logarithmic Number System (MDLNS) used for implementing the multiplier accumulator architecture of FIR filter in Digital Signal Processing (DSP) applications. The authors use the DBNS with the base 2 and 3 in designing ADC encoder circuits, which is called as Double Base Integer Encoder(DBIE). A symmetric map is analyzed first, and then asymmetric map is followed to provide addition ready DBNS for DSP circuitry. The simulation results of the DBIE circuits in 6-bit and 8-bit ADC show the effectiveness of the Constraint algorithm with $0.18{\mu}m$ CMOS technology. The DBIE yields faster processing speed compared to the speed of Fat Tree Encoder (FAT) circuits by 17% at more power consumption by 39%.

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Topology Aggregation Schemes for Asymmetric Link State Information

  • Yoo, Young-Hwan;Ahn, Sang-Hyun;Kim, Chong-Sang
    • Journal of Communications and Networks
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    • 제6권1호
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    • pp.46-59
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    • 2004
  • In this paper, we present two algorithms for efficiently aggregating link state information needed for quality-of-service (QoS) routing. In these algorithms, each edge node in a group is mapped onto a node of a shufflenet or a node of a de Bruijn graph. By this mapping, the number of links for which state information is maintained becomes aN (a is an integer, N is the number of edge nodes) which is significantly smaller than N2 in the full-mesh approach. Our algorithms also can support asymmetric link state parameters which are common in practice, while many previous algorithms such as the spanning tree approach can be applied only to networks with symmetric link state parameters. Experimental results show that the performance of our shufflenet algorithm is close to that of the full-mesh approach in terms of the accuracy of bandwidth and delay information, with only a much smaller amount of information. On the other hand, although it is not as good as the shufflenet approach, the de Bruijn algorithm also performs far better than the star approach which is one of the most widely accepted schemes. The de Bruijn algorithm needs smaller computational complexity than most previous algorithms for asymmetric networks, including the shufflenet algorithm.

하이퍼-스타 연결망의 위상적 성질과 방송 알고리즘 (Topological Properties and Broadcasting Algorithm of Hyper-Star Interconnection Network)

  • 김종석;오은숙;이형옥
    • 정보처리학회논문지A
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    • 제11A권5호
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    • pp.341-346
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    • 2004
  • 최근에 병렬처리를 위한 새로운 위상으로 하이퍼-스타 그래프 HS(m, k)가 제안되었다. 하이퍼-스타 그래프는 하이퍼큐브와 스타 그래프의 성질을 가지고 있으면서, 같은 노드수를 갖는 하이퍼큐브 보다 망비용이 우수한 그래프이다 본 논문에서는 하이퍼-스타 그래프 HS(m, k)가 하이퍼큐브의 서브그래프임을 증명한다. 그리고 정규형 그래프인 하이퍼-스타 HS(2n, n)가 제안된 매핑 기법에 의해 노드 대칭임을 보이며, 최소 높이를 갖는 스패닝 트리를 이용한 일-대-다 방송 기법을 제안하고, 방송 수행 시간이 2n-1임을 보인다.

An enhanced feature selection filter for classification of microarray cancer data

  • Mazumder, Dilwar Hussain;Veilumuthu, Ramachandran
    • ETRI Journal
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    • 제41권3호
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    • pp.358-370
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    • 2019
  • The main aim of this study is to select the optimal set of genes from microarray cancer datasets that contribute to the prediction of specific cancer types. This study proposes the enhancement of the feature selection filter algorithm based on Joe's normalized mutual information and its use for gene selection. The proposed algorithm is implemented and evaluated on seven benchmark microarray cancer datasets, namely, central nervous system, leukemia (binary), leukemia (3 class), leukemia (4 class), lymphoma, mixed lineage leukemia, and small round blue cell tumor, using five well-known classifiers, including the naive Bayes, radial basis function network, instance-based classifier, decision-based table, and decision tree. An average increase in the prediction accuracy of 5.1% is observed on all seven datasets averaged over all five classifiers. The average reduction in training time is 2.86 seconds. The performance of the proposed method is also compared with those of three other popular mutual information-based feature selection filters, namely, information gain, gain ratio, and symmetric uncertainty. The results are impressive when all five classifiers are used on all the datasets.