• Communications for Statistical Applications and Methods
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• v.8 no.2
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• pp.337-346
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• 2001

In this paper we consider the problem of identifying and testing the outliers in linear regression. first we consider the problem for testing the null hypothesis of no outliers. The test based on the ratio of two scale estimates is proposed. We show the asymptotic distribution of the test statistic by Monte Carlo simulation and investigate its properties. Next we consider the problem of identifying the outliers. A forward sequential procedure based on the suggested test is proposed and shown to perform fairly well. The forward sequential procedure is unaffected by masking and swamping effects because the test statistic is based on robust estimate.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1992.04a
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• pp.111-117
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• 1992

In order to design and construct a safe and economic underground structure, it is essential to understand the structural behavior of underground openings considering the effect of the sequential excavation. Therefore, this paper includes the study of initial stress distribution before excavation and stress redistribution due to the sequential excavation. And discussion on numerical simulation techniques for the sequential excavation is also included. Then, the underground structure is analyzed using the finite element and distinct element methods of analysis considering the effect of the sequential excavation. Based on the results of the analysis, the followings are discussed: shape of the openings, effect and timing of structural reinforcements. methods and sequence of excavation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1393-1405
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• 2017

It is well known that duty-cycling control by dynamically adjusting the polling interval according to the traffic loads can effectively achieve power saving in wireless sensor networks. Thus, there has been a significant research effort in developing polling interval adaptation schemes. Especially, Dynamic Low Power Listening (DLPL) scheme is one of the most widely adopted open-looping polling interval adaptation techniques in wireless sensor networks. In DLPL scheme, if consecutive idle (busy) samplings reach a given fixed threshold, the polling interval is increased (decreased). However, due to the trial-and-error based approach, it may significantly deteriorate the system performance depending on given threshold parameters. In this paper, we propose a novel DLPL scheme, called SDL (Sequential hypothesis testing based Dynamic LPL), which employs sequential hypothesis testing to decide whether to change the polling interval conforming to various traffic conditions. Simulation results show that SDL achieves substantial power saving over state-of-the-art DLPL schemes.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2001.05a
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• pp.201-204
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• 2001

The tension levelling process is performed to elongate the strip plastically in combination of tensile and bending strain so that all longitudinal fibers in the strip have an approximately equal amount of length and undesirable strip shapes are corrected to the flat shape. This paper is concerned with a simulation of the tension levelling process based on the analysis of the unit model for the tension leveller. Analysis technique such as the sequential analysis of the nit model is suggested and verified with the assembly analysis of the unit model for the effective and economic analysis of the full set of the tension leveller. Analysis of the full tension levelling process using sequential unit models is carried out and provides the effect of the intermesh and optimum amount of the intermesh in tension levelling process.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.76-83
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• 2007

In the sequentially rotated array antennas, the characteristics of antenna gain, axial ratio and cross polarization have been analyzed with a varying of sequential array constant(number of array element, figure of rotation) respectively. Where the antenna element of array is a probe feeding, LHCP truncated microstrip antenna whose resonant frequency is in 11.85GHz. The simulation results of 23 SRA antennas((M=2, 3, 4, 6, 8), $(1\leqP\leqM)$) has shown as follows. The widest 3dB bandwidth of axial ratio appears at P=2 which is in-dependant of M, the highest antenna gain appears when a sequential array constant has a pair of (2, 1), (3, 2), (4, 1), (6, 3), (8, 1) respectively. Specially, all of the SRA antenna appear very poor characteristics in case of M=P. Therefore the SRA antenna has to be designed as selecting a optimal sequential array constant among a lot of simulation data.

• Economic and Environmental Geology
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• v.30 no.5
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• pp.493-498
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• 1997

The purpose of this study is to develop geostatistical model for evaluating the abundance of deep-sea manganese nodule. The abundance data used in this study were obtained from the KODOS (Korea Deep Ocean Study) area. The variation of nodule abundance was very high within short distance, while sampling methods was very limited. As the distribution of nodule abundance showed non-gaussian, indicator simulation method was used instead of conditional simulation method and/or ordinary kriging. The abundance data were encoded into a series of indicators with 6 cutoff values. They were used to estimate the conditional probability distribution function (cpdf) of the nodule abundance at any unsampled location. The standardized indicator variogram models were obtained according to variogram analysis. This SIS method had the advantage over other traditional techniques such as the turning bands method and ordinary kriging. The estimating values by indicator conditional simulation near high abundance area were more detailed than by ordinary kriging and indicator kriging. They also showed better spatial characteristics of distribution of nodule abundance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.5023-5038
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• 2017

Big data is an emerging technology which deals with wide range of data sets with sizes beyond the ability to work with software tools which is commonly used for processing of data. When we consider a huge network, we have to process a large amount of network information generated, which consists of both normal and abnormal activity logs in large volume of multi-dimensional data. Intrusion Detection System (IDS) is required to monitor the network and to detect the malicious nodes and activities in the network. Massive amount of data makes it difficult to detect threats and attacks. Sequential Pattern mining may be used to identify the patterns of malicious activities which have been an emerging popular trend due to the consideration of quantities, profits and time orders of item. Here we propose a sequential pattern mining algorithm with fuzzy logic feature selection and fuzzy weighted support for huge volumes of network logs to be implemented in Apache Hadoop YARN, which solves the problem of speed and time constraints. Fuzzy logic feature selection selects important features from the feature set. Fuzzy weighted supports provide weights to the inputs and avoid multiple scans. In our simulation we use the attack log from NS-2 MANET environment and compare the proposed algorithm with the state-of-the-art sequential Pattern Mining algorithm, SPADE and Support Vector Machine with Hadoop environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.200-201
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• 2017

This paper introduces the SPICE simulation results of 3D sequential inverter considering electrical coupling. TCAD data and the SPICE data are compared to verify that the electrical coupling is well considered by using BSIM-IMG for the upper NMOS and LETI-UTSOI model for the lower PMOS. When inter layer dielectric is small, it is confirmed that electrical coupling is well reflected in the top transistor $I_{ds}-V_{gs}$ characteristics according to the change of the bottom transistor gate voltage.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.273-275
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• 2006

Ladder Diagram(LD) is the most widely utilized among many sorts of existing programs using for the design of process control system. But it is very difficult to grasp sequential flow of control logic. In this paper, we proposed the method that we can control a lot of blocks. We used PLC in process control system. And, in order to design we used Sequential Function Chart(SFC). In this paper, we proposed the method of block contro. and confirmed feasibility through a simulation.

• Bulletin of the Korean Chemical Society
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• v.29 no.4
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• pp.873-875
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• 2008