• Molecules and Cells
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• v.20 no.1
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• pp.35-42
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• 2005

A novel combined method for locating box H/ACA small nucleolar RNAs (snoRNAs) is described, together with a software tool. The method adopts both a probabilistic hidden Markov model (HMM) and a minimum free energy (MFE) rule, and filters possible candidate box H/ACA snoRNAs obtained from genomic DNA sequences. With our novel method 12 known box H/ACA snoRNAs, and one strong candidate were identified in 30 nucleolar protein genomic sequences.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.310-313
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• 2000

This paper presents a new scheduling method for ILP processing called NHS(Novel Hybrid Scheduling). It concerns not only exploiting as much ILP as possible like other state-of-the-art scheduling scheme, but also choosing the most important instructions among many ready-to-execute instructions to processors in order to reduce the execution time under limited hardware resource. At the heart of NHS is a conception called CCP(Complex Critical Path), an extension of CP(Critical Path). By using CCP, compiler not only can get a global information of the whole program to extract ILP, but also can collecting data dependence information and control flow information. The paper also presents the simulation results, to date, of our attempts to study the NHS scheduling method. The results indicate good potential for this scheduling method.

• Proceedings of the KIEE Conference
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• 2009.04b
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• pp.222-224
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• 2009

This paper proposes analysis data of generation efficiency with tracking method for solar tracking. Tracking algorithm of PV generation is divided the sensor method and program method. Generation efficiency is analyzed the three cases 1-high insolation, 2-low insolation, 3-rapidly changing insolation. Proposed data is possible to apply for development of novel algorithm with hybrid tracking method in this paper. Hereby, This paper is proved the benefit of analyzed data.

• Journal of KIISE:Software and Applications
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• v.26 no.1
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• pp.130-130
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• 1999

In this paper, we propose a novel design method for improving performance of existing FCM-type clustering algorithms. First, we define the performance measure which focuses on bothcompactness and separation of clusters. Next, we optimize this measure using evolution program.Especially the proposed method has following merits: ① using evolution program, it solves suchproblems as initialization, number of clusters, and convergence to local optimum ② it reduces searchspace and improves convergence speed of algorithm since it represents chromosome with possiblepotential centers which are selected possible candidates of centers by density measure ③ it improvesperformance of clustering algorithm with the performance index which embedded both compactnessand separation Properties ④ it is robust to noise data since it minimizes its effect on center search.

• Steel and Composite Structures
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• v.46 no.6
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• pp.731-744
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• 2023

Vehicle load information is an important role in operating and ensuring the structural health of cable-stayed bridges. In this regard, an efficient and economic method is proposed for vehicle load detection based on the observed cable tension and vehicle position using a graph neural network (GNN). Datasets are first generated using the practical advanced analysis program (PAAP), a robust program for modeling and considering both geometric and material nonlinearities of bridge structures subjected to vehicle load with low computational costs. With the superiority of GNN, the proposed model is demonstrated to precisely capture complex nonlinear correlations between the input features and vehicle load in the output. Four popular machine learning methods including artificial neural network (ANN), decision tree (DT), random forest (RF), and support vector machines (SVM) are refereed in a comparison. A case study of a cable-stayed bridge with the typical truck is considered to evaluate the model's performance. The results demonstrate that the GNN-based model provides high accuracy and efficiency in prediction with satisfactory correlation coefficients, efficient determination values, and very small errors; and is a novel approach for vehicle load detection with the input data of the existing monitoring system.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.8
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• pp.54-63
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• 2007

This paper is proposed a novel method that computed approximately maximum power of photovoltaic system and solar tracking method. Proposed novel is linear reoriented coordinates method(LRCM), this paper is proposed new mathematical dynamic model using LRMC and DC dynamic equation. LRCM has the advantage that is decreased calculating time, decides optimal voltage and maximum power that generates continually. Furthermore solar tracking method is improved over 50[%] photovoltaic efficiency than fixed method. This paper is proposed MPPT using LRCM and solar tracking method using program method that is adequate domestic conditions, prove verify of proposed method through experiment.

• Proceedings of the KIEE Conference
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• summer
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• pp.412-414
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• 2004

In this paper, a novel algorithm of underground cable fault location based on the analysis of distributed parameter circuit is proposed. The proposed method makes voltage and current equations about core and sheath, and then establishes a function of the fault distance according to the analysis of fault conditions. Finally gets the solution of this function through Newton-Raphson iteration method. The effectiveness of proposed algorithm has been verified by Matlab program, and the cable parameters such as impedance and admittance are from EMTP simulation.

• ETRI Journal
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• v.43 no.1
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• pp.141-151
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• 2021

Several methods exist for detecting hacking programs operating within online games. However, a significant amount of computational power is required to detect the illegal access of a hacking program in game clients. In this study, we propose a novel detection method that analyzes the protected memory area and the hacking program's process in real time. Our proposed method is composed of a three-step process: the collection of information from each PC, separation of the collected information according to OS and version, and analysis of the separated memory information. As a result, we successfully detect malicious injected dynamic link libraries in the normal memory space.

• Nuclear Engineering and Technology
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• v.54 no.4
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• pp.1471-1481
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• 2022

This paper aims to present a new method for obtaining an analytical solution for the Kaniadakis Doppler broadening (KDB) function. Also, in this work, we report the computational efficiencies of this solution compared with the numerical one. The solution of the differential equation achieved in this paper is free of approximations and is, consequently, a more robust methodology for obtaining an analytical representation of ψ_k. Moreover, the results show an improvement in efficiency using the analytical approximation, indicating that it may be helpful in different applications that require the calculation of the deformed Doppler broadening function.

• Convergence Security Journal
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• v.7 no.3
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• pp.61-70
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• 2007

In Windows operating system, CSPs(Cryptographic Service Providers) are provided for offering a easy and convenient way of using an various cryptographic algorithms to applications. The applications selectively communicate with various CSPs through a set of functions known as the Crypto API(Cryptographic Application Program Interface). During this process, a secure method, accessing data using a handle, is used in order to prevent analysis of the passing parameters to function between CryptoAPI and CSPs. In this paper, our experiment which is using a novel memory traceback method proves that still there is a vulnerability of private key and secret key disclosure in spite of the secure method above-mentioned.