• Title/Summary/Keyword: Normal process

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A Study for Process Representation using STEP (STEF을 이용한 프로세스 표현에 관한 연구)

  • 황호진;이수홍
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.4
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    • pp.371-380
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    • 1999
  • This study proposes a process information model which can integrate various activities during the product development process, the system which can manage the process. Development process information will allow designers and managers to access previous tasks readily and utilize the information in making decisions at hand. While developing products in heterogeneous and distributed environments, concurrent and collaborative designs can be achieved by STEP. The process model in this study divides the task of product development into two fundamental parts, Specific Process(SP) and Normal Process(NP). SP includes the specific information and refer to those defined by prior STEP. NP is routine process excluded from being defined as SP. Due data information can be added to manage development pace and to show delayed tasks. As two or more different processes can be linked to show the entire development flow, Static STEP information can be dynamically interlaced. Remote location operations can be incorporated on the Internet using STEP, and information can be shared. The system has been built upon a process model schema so that task stage, design history, and different development style can be managed and accessed for each component. The system has been proven efficient in information management and exchange by several scenario testings.

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Proposal of Process Hollowing Attack Detection Using Process Virtual Memory Data Similarity (프로세스 가상 메모리 데이터 유사성을 이용한 프로세스 할로윙 공격 탐지)

  • Lim, Su Min;Im, Eul Gyu
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.2
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    • pp.431-438
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    • 2019
  • Fileless malware uses memory injection attacks to hide traces of payloads to perform malicious works. During the memory injection attack, an attack named "process hollowing" is a method of creating paused benign process like system processes. And then injecting a malicious payload into the benign process allows malicious behavior by pretending to be a normal process. In this paper, we propose a method to detect the memory injection regardless of whether or not the malicious action is actually performed when a process hollowing attack occurs. The replication process having same execution condition as the process of suspending the memory injection is executed, the data set belonging to each process virtual memory area is compared using the fuzzy hash, and the similarity is calculated.

Rate of Convergence of Empirical Distributions and Quantiles in Linear Processes with Applications to Trimmed Mean

  • Lee, Sangyeol
    • Journal of the Korean Statistical Society
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    • v.28 no.4
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    • pp.435-441
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    • 1999
  • A 'convergence in probability' rate of the empirical distributions and quantiles of linear processes is obtained. As an application of the limit theorems, a trimmed mean for the location of the linear process is considered. It is shown that the trimmed mean is asymptotically normal. A consistent estimator for the asymptotic variance of the trimmed mean is provided.

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ITERATIVE METHODS FOR GENERALIZED EQUILIBRIUM PROBLEMS AND NONEXPANSIVE MAPPINGS

  • Cho, Sun-Young;Kang, Shin-Min;Qin, Xiaolong
    • Communications of the Korean Mathematical Society
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    • v.26 no.1
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    • pp.51-65
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    • 2011
  • In this paper, a composite iterative process is introduced for a generalized equilibrium problem and a pair of nonexpansive mappings. It is proved that the sequence generated in the purposed composite iterative process converges strongly to a common element of the solution set of a generalized equilibrium problem and of the common xed point of a pair of nonexpansive mappings.

Higber Order Expansions of the Cumulants and the Modified Normalizing Process of Multi-dimensional Maximum Likelihood Estimator

  • Jonghwa Na
    • Communications for Statistical Applications and Methods
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    • v.6 no.1
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    • pp.305-318
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    • 1999
  • In this paper we derive the higher order expansions of the first four cumulants of multi-dimensional Maximum Likelihood Estimator (MLE) under the general parametric model up to and including terms of order O({{{{ {n }^{-1 } }}}}) Also we obtain the explicit form of the expansion of the normalizing trans formation of multi-dimensional MLE and show that the suggested normalizing process is much better than the normal approximation based on central limit theorem through example.

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A New Technology to Remove Fly on the Knitting Process (니팅공정중에 발생하는 fly 제거를 위한 새로운 기술)

  • 구영석
    • Textile Coloration and Finishing
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    • v.12 no.6
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    • pp.361-371
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    • 2000
  • The problematic effects of fly creation on circular knitting machines during the knitting process were investigated in order to develop a new method for tackling the problem. A new idea, i.e. coating the yarn surface with a polymer film, was studied. Important physical properties of the coated yarm were studied and compared with normal yarn. A new test-rig was designed to measure the coefficient of friction and the degree of shedding of yarn. Yarns were coated with seven polymer materials and the performance of the coated yarns was tested and the results are discussed.

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Human Machine Serial Systems Reliability and Parameters Estimation Considering Human Learning Effect (학습효과를 고려한 인간 기계 직렬체계 신뢰도와 모수추정)

  • KIM, Kuk
    • Journal of the Korea Management Engineers Society
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    • v.23 no.4
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    • pp.159-164
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    • 2018
  • Human-machine serial systems must be normal in both systems. Though the failure of machine is irreducible by itself, the human errors are of recurring type. When the human performance is described quantitatively, non-homogeneous Poisson Process model of human errors can be developed. And the model parameters can be estimated by maximum likelihood estimation and numerical analysis method. System reliability is obtained by multiplying machine reliability by human reliability.

SIMPLIFIED APPROACH TO VALUATION OF VULNERABLE EXCHANGE OPTION UNDER A REDUCED-FORM MODEL

  • Huh, Jeonggyu;Jeon, Jaegi;Kim, Geonwoo
    • East Asian mathematical journal
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    • v.37 no.1
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    • pp.79-85
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    • 2021
  • In this paper, we investigate the valuation of vulnerable exchange option that has credit risk of option issuer. The reduced-form model is used to model credit risk. We assume that credit event is determined by the jump of the counting process with stochastic intensity, which follows the mean reverting process. We propose a simple approach to derive the closed-form pricing formula of vulnerable exchange option under the reduced-form model and provide the pricing formula as the standard normal cumulative function.

Process Modeling of Flexible Robotic Grinding

  • Wang, Jianjun;Sun, Yunquan;Gan, zhongxue;Kazerounian, Kazem
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.700-705
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    • 2003
  • In this paper, an extended process model is proposed for the application of flexible belt grinding equipment as utilized in robotic grinding. The analytical and experimental results corresponding to grinding force, material removal rate (MRR) and contact area in the robotic grinding shows the difference between the conventional grinding and the flexible robotic grinding. The process model representing the relationship between the material removal and the normal force acting at the contact area has been applied to robotic programming and control. The application of the developed model in blade grinding demonstrates the effectiveness of proposed process model.

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SPC chart for exponential weighted moving statistics in start-up process (초기공정에서 지수가중 이동 통계량을 이용한 SPC 관리도)

  • 이희춘;지선수
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.41
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    • pp.157-166
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    • 1997
  • Classical SPC charting methods such as (equation omitted), R, S charts assume high volume manufacturing processes where at least 25 or 30 calibrate samples of size 4 or 5 each can be gathered to estimate the process parameters before on-line charting actually begines. However, for many processes, especially in a job-shop setting, production runs are not necessarily long and charting technique are required that do not that depend upon knowing the process parameters in advance of the run. In this paper, using modifying statistics, we give a method for constructing control charts for the process mean when the measurements are from a normal distribution. In this case, consider that smaller weight being assigned to the older data as time process and properties and taking method of exponential smoothing constant$(\lambda)$ are suggested.

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