• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1335-1349
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• 2019

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.321-322
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• 2007

When use FMO by error resilience purpose in existing $TYPE1{\sim}2$ compare. But, in This paper, TYPE $3{\sim}5$[Gradual decoder refresh tool] is used as error resilence tool. Experiment result, it shows that Y PSNR improves that use suitable TYPE's FMO. Images using in an experiment had better use Type $3{\sim}5$. Differ with existing paper, dipersed mode appeared result badly. Because spatial correlation is low, acted adversely in intra predication.

• Steel and Composite Structures
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• v.4 no.2
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• pp.95-112
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• 2004

A series of tests was performed to consider the behaviour of short composite columns under axial compressive loading, covering a range of S275 and S355 grade steel square hollow section filled with normal and high strength concrete. The interaction between the steel and the concrete component is considered and the results show that concrete shrinkage has an effect on the axial strength of the column. Comparisons between Eurocode 4, ACI-318 and the Australian Standards with the findings of this research were made. Result showed the equation used by the ACI-318 and the proposed Australian Standards gave better predication for the axial capacity of concrete filled SHS columns than the Eurocode 4.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.25 no.7
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• pp.1089-1096
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• 2001

This paper presents the fatigue behavior of composite materials with impact-induced damage under 2 level block loading. For this purpose, the 2 level block loading fatigue tests were performed on the impacted composite laminate. The fatigue life of the laminate under the block loading is greatly influenced by the impact damage; the effect of impact damage can be characterized by the present impact damage parameter. Based on this parameter, the model is developed to predict the fatigue life under block loading and the results by this model agree well with experimental results regardless of applied impact energy. Also, stochastic model is established to describe the variation of cumulative damage behavior and fatigue life due to the material nonhomogeneity.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.283-285
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• 2005

단백질들이 어느 세포내 소기관에 위치하는지에 대한 지식은 그들의 기능을 예측하는데 있어서 중요한 정보를 제공한다. 하지만 실험적으로 세포내 소기관 위치를 분석하는 작업은 않은 비용과 시간을 요구한다. 따라서 지금까지 단백질의 세포내 소기관 위치 예측을 위한 다양한 계산적 방법들이 개발되었으나, 효율적인 학습 데이터의 생성에 있어서 문제점을 가지고 있다. 본 논문은 기계학습 기법을 이용하여 주요 서열 구성을 선택함으로써 예측의 성능을 최대화 하는 방법을 제안하고자 한다. 실험은 효모의 단백질의 세포 내 소기관 위치 예측에 있어서 주요 아미노산 서열들을 선택함으로써 예측의 성능을 향상시키는 결과를 보이고 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.47-52
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• 2010

실세계와 연동되는 컴퓨팅환경이 가속화 될수록 물리적 오류에 대한 중요성은 점차 커지고 있다. 물리적 오류는 자연현상과 밀접하게 관련되어 있기 때문에, 다양한 변수가 존재하며 오류 예측이 어렵다. 따라서 본 연구에서는 이러한 자연현상에서 발생하는 인자를 수집하고, 이를 분석하여 예측할 수 있도록 데이터마이닝을 적용한 시스템을 제안한다. 본 연구의 현실성 입증을 위해 제안한 시스템을 라인트레이서를 모델로 하여 구현해 보았다.

• Language and Information
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• v.6 no.1
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• pp.105-121
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• 2002

This paper investigates the effect of semantic argument structure on the comprehension and production of sentences by observing the prosodic realizations of English secondary predications. Specifically, the goal of this study is to show how the theory of predication, argument structure, and focus semantically interact to account for similarities and differences between English resultative and depictive predications. To address this issue, production and comprehension tests were performed. In the fried focus domain (verb phrase), subjects were asked to utter and to comprehend ambiguous sentences in the context monologues. The experimental results were generally consistent with general linguistic analyses: In the resultative constructions, secondary subject NPs tend to be accented, as in other argument-head constructions, while in the depictive constructions, secondary predicates tend to have accents, as in other adjunct-head constructions.

• Proceedings of the KSR Conference
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• 1999.11a
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• pp.163-171
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• 1999

The major source of railway noises is rolling noise caused by the interaction of the wheels and rails. This rolling noise is generated by the roughness of the wheel/rail surface on tangent tack in the absence of discontinuities, such as wheel flats or rail joints. These roughness cause relative vibrations of the wheel and rail at their contact area. The vibrations generated at the contact area are transmitted through the wheel and rail structures, exciting resonances of the wheel and travelling waves ill tile rail. Then these vibrations radiate noise to the wayside. In this paper, we predict the rolling noise radiated from radial/axial motion of the wheel and vertical/lateral motion of the rail using Remington's analytical model and then compare of the predicted sound pressure and measured one. Although there are some inaccuracy in our predication these results show in good agreement between 500 ㎐ and 3150㎐.

• Structural Engineering and Mechanics
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• v.91 no.3
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• pp.239-250
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• 2024

With the aim to provide better predication about fracture behavior, a numerical simulating strategy based on the rigid spring model is proposed for reinforced concrete (RC) structures in this study. According to the proposed strategy, concrete is partitioned into a series of irregular rigid blocks based on the Voronoi diagram, which are connected by interface springs. Steel bars are simulated by bar elements, and the bond slip element is defined at bar element nodes to describe the interaction between reinforcement and concrete. A concrete damage evolution model based on the separation criterion is adopted to describe the weakening process of interface spring between adjacent blocks, while a nonlinear bond slip model is introduced to simulate the synergy behaviour of reinforced steel bars and concrete. In the damage evolution model of concrete, the influence of compressive stress perpendicular to the interface on the shear strength is considered. To check the effectiveness and applicability of the proposed modelling, experimental and numerical studies about a simply-supported RC beam and the two-notched concrete plates in Nooru-Mohamed's experiment are conducted, and the grid sensitivity are investigated.

• Journal of KIISE:Software and Applications
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• v.32 no.3
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• pp.215-226
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• 2005

Loop invariant code motion (LICM) optimization includes relatively heavy code analyses, thus being not readily applicable to Java Just-In-Time (JIT) compilation where the JIT compilation time is part of the whole running time. 'Classical' LICM optimization first analyzes the code and constructs both the def-use chains and the use-def chains. which are then used for performing code motions. This paper proposes a light-weight LICM algorithm, which requires only the def-use chains of loop invariant code (without use-def chains) by exploiting the fact that the Java virtual machine is based on a stack machine, hence generating code with simpler patterns. We also propose two techniques that allow more code motions than classical LICM techniques. First, unlike previous JIT techniques that uses LICM only in single-path loops for simplicity, we apply LICM to multi-path loops (natural loops) safely for partially redundant code. Secondly, we move loop-invariant, partially-redundant null pointer check code via predication support in Itanium. The proposed techniques were implemented in a JIT compiler for Itanium processor on ORP (Open Runtime Platform) Java virtual machine of Intel. On SPECjvrn98 benchmarks, the proposed technique increases the JIT compilation overhead by the geometric mean of 1.3％, yet it improves the total running time by the geometric mean of 2.2％.