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      • KCI등재

        A Compatible Variables Scheduling Algorithm for Register Allocation in Microprogram

        이상정,임인칠,Lee, Sang-Jeong,Lim, In-Chil The Institute of Electronics and Information Engin 1987 전자공학회논문지 Vol.24 No.2

        This paper proposes a compatible variables scheduling algorithm, which is the process to pack variables into same register without modifying program semantics, for efficient register allocation of microprogram. The algorithm constructs T-V matrix, obtains incompatible variable set and scheduling priority, and schedules compatible groups. By this algorithm, the number of compatible groups can be minimized. The algorithm was implemented with C language on VAX-11/780 computer. By applying the algorithm to practical microprograms, the effectiveness of the algorithm is verified.

      • SCOPUSKCI등재
      • SCOPUSKCI등재
      • Dynamic Substructuring 기법을 이용한 APR 1400 원자로 내부구조물의 동적 거동 고찰

        이상정(Sang-Jeong Lee),박노철(No-Cheol Park),최영인(Youngin Choi),박영필(Young-Pil Park),김진성(Jinsung Kim),박찬일(Chanil Park),노우진(Woo-Jin Roh) 한국소음진동공학회 2015 한국소음진동공학회 학술대회논문집 Vol.2015 No.4

        In order to identify dynamic behavior of complex structure as nuclear reactor, vibration analysis is mostly conducted as using finite element method (FEM). If the structure is complicated, high computational cost and time is demanded at vibration analysis using FEM. After model reduction is fulfilled with using dynamic substructuring method, it is objective to decrease the computational cost and time at vibration analysis of complex structures in this study. With applying selecting method of mater degree of freedom (MDOF) whose validity was identified in previous study, accuracy of vibration analysis is guaranteed. We apply the method to APR 1400 nuclear reactor internals which are one of complex structures. Because the result of application shows that vibration analysis data from dynamic substructuring method are well matched with original method, we confirm the effect of Vibration analysis using dynamic substructuring method.

      • KCI등재

        딥러닝을 이용한 방사선학적 골 손실과 치주염 단계 분류의 자동적 진단 방법

        이상정(Sang-Jeong Lee),강세룡(Se-Ryong Kang),양수(Su Yang),최민혁(Min-Hyuk Choi),김조은(Jo-Eun Kim),허경회(Kyung-Hoe Huh),이삼선(Sam-Sun Lee),허민석(Min-Suk Heo),이원진(Won-Jin Yi) 대한전기학회 2021 전기학회논문지 Vol.70 No.12

        In this study, a deep learning hybrid framework was developed to automatically stage periodontitis in dental panoramic radiographs. The framework was proposed to automatically quantify the periodontal bone loss and classify periodontitis for each individual tooth into four stages according to the criteria that was proposed at the 2017 World Workshop. Radiographic bone level (or CEJ level) was detected using deep learning with a simple structure of the entire jaw in panoramic radiographs. Next, the percent ratio analysis of the radiographic bone loss combined the tooth long-axis with periodontal bone and CEJ levels. The percentage ratios can be used to automatically classify periodontal bone loss. Additionally, the number of missing teeth was quantified by detecting the position of the missing teeth in the panoramic radiographs. A multi-device study was also performed to verify the generality of the developed method. The mean absolute difference (MAD) between periodontitis stages by the automatic method and by the radiologists was 0.31 overall for all the teeth in the whole jaw. The MADs for the images from the multiple devices were 0.25, 0.34, and 0.35 for devices 1, 2, and 3, respectively. The developed method had a high accuracy, reliability, and generality when automatically diagnosing periodontal bone loss and the staging of periodontitis by the multi-device study.

      • KCI우수등재

        Total Execution Time 및 Control Memory Space의 減少를 위한 Microprogram의 廣域的 最適化 技法

        이상정(Sang Jeong Lee),박종득(Jong Duek Park),조영일(Young Il Cho),임인칠(In Chil Lim) 한국정보과학회 1984 정보과학회논문지 Vol.11 No.3

        本 論文에서는 各 basic block間의 global data analysis에 依해 microoperation(Mop's)을 효율적인 microins truction(MI's)으로 결합하는 廣域的 最適化(Global compaction) 알고리즘을 提案한다. 즉, microprogram의 廣域的 고찰을 통해 全體遂行時間 및 製御記憶容量을 減少시킨다. 또한, 알고리즘을 프로그램하고 가상 machine에 적용하여 本 알고리즘의 最適化를 立證한다. In this paper, a global compaction algorithm of microprograms, which combines microoperations (MOP's) into effective microinstructions (MI's) by global data analysis over basic blocks, is proposed. The algorithm reduces total execution time and control memory space, and improves the execution efficiency through a broad view of microprograms. Also, it is implemented and tested on virtual machine, and the result of it's compaction is verified.

      • KCI등재

        글자체디자인권의 침해에 관한 소고

        이상정(Lee, Sang Jeong) 경희법학연구소 2005 경희법학 Vol.39 No.3

        For the protection of typeface design we ve already amended the Design Protection Act(hereafter DPA ). So the typeface design is to be protected by DPA from the July 1st of 2005. From that day on it s infringement to use the registered design without permission of right holder. When we think of the protection of typeface design, we must solve two problems. One is the scope of protection and another is what acts are constituted the infringement. For the purpose of the adequate protection this paper propose that the objective scope must be narrowly construed. That means we regard two designs as similar design only when two typeface designs are nearly same. And the act to display and possession for transfer and rental must be included among the acts of doing business, and the acts of transfer, rental, display for transfer and rental in the internet are also regarded as the acts of doing business. Reversely using typeface design in the course of research and education must be exempted from infringement. So the phrase of [using design in the course of research and experiment] in the 「article 44 paragraph 1」 must be changed as [using design in the course of research and education].

      • KCI등재

        값 예측 오류를 위한 순차적이고 선택적인 복구 방식

        이상정(Sang-Jeong Lee),전병찬(Byung-Chan Jeon) 한국정보과학회 2004 정보과학회논문지 : 시스템 및 이론 Vol.31 No.1·2

        고성능 슈퍼스칼라 프로세서에서 값 예측(value prediction) 방식은 명령의 결과 값을 미리 예측하고, 이 후 데이타 종속 관계가 있는 명령들에게 값을 조기에 공급함으로써 이들 명령들을 모험적으로 실행하여 성능을 향상시키는 방식이다. 값 예측으로 성능을 향상시키기 위해서는 예측 실패 시에 효율적으로 복구하는 과정이 필수적이다. 본 논문에서는 값 예측 실패 시에 잘못 예측된 값을 사용하여 모험적으로 수행된 명령들만을 순차적으로 취소하고 복구한 후에 재이슈하는 값 예측 실패 복구 메커니즘(value misprediction recovery mechanism)을 제안한다. 제안된 복구 방식은 한번에 모든 종속명령들을 검색하지 않음으로써 파이프라인을 정지시키지 않는다. 즉, 파이프라인이 진행되는 순서에 따라 순차적으로 값 예측이 틀린 종속명령만을 선택적으로 취소하고 재이슈하여 불필요한 취소와 재이슈를 줄임으로써 값 예측 실패 시에 손실을 줄인다. Value prediction is a technique to obtain performance gains by supplying earlier source values of its data dependent instructions using predicted value of a instruction. To fully exploit the potential of value speculation, however, the efficient recovery mechanism is necessary in case of value misprediction. In this paper, we propose a sequential and selective recovery mechanism for value misprediction. It searches data dependency chain of the mispredicted instruction sequentially without pipeline stalls and adverse impact on clock cycle time. In our scheme, only the dependent instructions on the predicted instruction is selectively squashed and reissued in case of value misprediction.

      • KCI등재

        제조물책임법과 개발위험의 항변

        이상정(Lee Sang Jeong) 성균관대학교 법학연구소 2007 성균관법학 Vol.19 No.2

          More than 5 years have passed since our Product Liability Act was enforced. The enactment of Product Liability Act means that the liability system based on the negligence shift to the liability system based on the defect. So many consumer supposed that there was the drastic change in the area of PL. But in reality there is little change. It"s because design defects and warning defects are primarily based on the negligence of producer. And even in the area of manufacturing defects there is little change. Before the enforcement of new act the producer was apt to be liable to the defects he made regardless of his fault or negligence. And Presumption of negligence was applied in many cases.<BR>  One of the consumer"s disappointments is the adoption of the "Development Risk" defense(the state-of-the-art defense). It"s prescribed in the § 4① ⅱ of our act. That is as follows:<BR>  Article 4 (Exemptions) ① In cases where Article 3 applies. the manufacturer. etc. shall not be liable as a result of Article 3 if he proves;<BR>  (1.)<BR>  2. that the state of scientific or technical knowledge at the time when the manufacturer, etc. delivered the product was not such as to enable the existence of the defect in the product to be discovered:<BR>  But I think that the adoption of the "Development Risk" defense is not adequate even though many industrial nations accept the state-of-the-art defense.<BR>  First of all It"s nearly impossible to find out "the state of scientific or technical knowledge at the time when the manufacturer. etc. delivered the product". Because Scientific knowability refers not to what in fact was known at the time. but to what could have been known at the time.<BR>  And the adoption of the "Development Risk" defense means that the human is the means of the development of science or technology. So "Development Risk" defense in our act must be deleted. But for the compromise of innovation and safety. this paper proposed. the compensation may be reduced when the producer observed carefully. warned the hazards and recalled them after delivering the products.<BR>  This paper ends with the phrases which were appeared in the "Beshada v. Johns-Manville Products Corp" judgement :<BR>  The concept of knowability is complicated further by the fact---that the level of investment in safety research by manufacturers is one determinant of the state-of-the-art at any given time.<BR>  By imposing on manufacturers the costs of failure to discover hazards, we create an incentive for them to invest more actively in safety research.

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