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The Errors and Reducing Method in 1-dof Frequency Response Function from Impact Hammer Testing (충격햄머 실험에 의한 1자유도 주파수응답함수의 오차와 해결방법)

  • 안세진;정의봉
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.9
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    • pp.702-708
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    • 2002
  • The spectrum of impulse response signal from an impulse hammer testing is widely used to obtain frequency response function(FRF). However the FRFs obtained from impact hammer testing have not only leakage errors but also finite record length errors when the record length for the signal processing is not sufficiently long. The errors cannot be removed with the conventional signal analyzer which treats the signals as if they are always steady and periodic. Since the response signals generated by the impact hammer are transient and have damping, they are undoubtedly non-periodic. It is inevitable that the signals be acquired for limited recording time, which causes the errors. This paper makes clear the relation between the errors of FRF and the length of recording time. A new method is suggested to reduce the errors of FRF in this paper. Several numerical examples for 1-dof model are carried out to show the property of the errors and the validity of the proposed method.

A Secure and Efficient E-Medical Record System via Searchable Encryption in Public Platform

  • Xu, Lei;Xu, Chungen;Zhang, Xing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4624-4640
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    • 2017
  • This paper mainly presents a secure and efficient e-Medical Record System via searchable encryption scheme from asymmetric pairings, which could provide privacy data search and encrypt function for patients and doctors in public platform. The core technique of this system is an extension public key encryption system with keyword search, which the server could test whether or not the files stored in platform contain the keyword without leaking the information about the encrypted file. Compared with former e-medical record systems, the system proposed here has several superior features: (1)Users could search the data stored in cloud server contains some keywords without leaking anything about the origin data. (2) We apply asymmetric pairings to achieve shorter key size scheme in the standard model, and adopt the dual system encryption technique to reduce the scheme's secure problem to the hard Symmetric External Diffie-Hellman assumption, which could against the variety of attacks in the future complex network environment. (3) In the last of paper, we analyze the scheme's efficiency and point out that our scheme is more efficient and secure than some other classical searchable encryption models.

Some Thoughts on The Training of Archivists for Korean Records (아키비스트의 양성, 어떻게 할 것인가?)

  • Kim, Ki-Seok
    • The Korean Journal of Archival Studies
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    • no.1
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    • pp.77-106
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    • 2000
  • This paper is propose for some guidelines in making curriculum for the training of archivists for Koran records. This paper pays special attention to the revival of the culture of record-keeping tradition of our owns. Without it's revival, a blind introduction of archival sciences based on Western civilizations can be ended up another version of cultural and academic imperialism as such in the field of the record-management of Korean records. Rapidly growing information and computer technology of our owns must be incorporated in the making of archivist training programs. It proposes that the opening of archival science major as a department at the graduate school level is in the long run essential, yet that of an associate master degree program can be in real an alternative. A training of archivists is not just to produce of a technician but a crafts(wo)man who would be in the vanguard of the renaissance of the record-keeping culture in Korea.

Predicting depth value of the future depth-based multivariate record

  • Samaneh Tata;Mohammad Reza Faridrohani
    • Communications for Statistical Applications and Methods
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    • v.30 no.5
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    • pp.453-465
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    • 2023
  • The prediction problem of univariate records, though not addressed in multivariate records, has been discussed by many authors based on records values. There are various definitions for multivariate records among which depth-based records have been selected for the aim of this paper. In this paper, by means of the maximum likelihood and conditional median methods, point and interval predictions of depth values which are related to the future depth-based multivariate records are considered on the basis of the observed ones. The observations derived from some elements of the elliptical distributions are the main reason of studying this problem. Finally, the satisfactory performance of the prediction methods is illustrated via some simulation studies and a real dataset about Kermanshah city drought.

The Analysis of Current Status of Vinyl Record Industry in Korea: Focusing on Expert Opinion on Planning, Producing, and Distributing Vinyl Records (국내 LP(Long Play Records)산업의 현황 분석 - LP 기획·제작 및 유통 분야의 전문가 의견을 중심으로 -)

  • Kim, Ji In;Lee, Jin Woo
    • Korean Association of Arts Management
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    • no.60
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    • pp.37-68
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    • 2021
  • The purpose of this study is to understand the attractiveness of the vinyl record industry and derive implications by analyzing the structure of the industry. A few previous studies pay attention to the rapidly increasing demand for vinyl records, especially from a consumer point of view, and unlike the analysis of the consumption and vinyl record industry, this study focuses on the subjects of production and distribution of vinyl records. This paper collects data through in-depth interviews with experts in the vinyl record industry and various secondary data, which is analyzed by Porter(1980/2008)'s Five Forces Model. According to the analysis, the attractiveness of the vinyl record industry is positive in terms of the appropriate competitive strength in the industry and weak bargaining power of buyers, but negative in terms of the strong bargaining power of new entrants and substitutes. The outcome of this research has significance as basic data implying that companies that are trying to enter the vinyl record industry need to make strategic decisions.

Bayesian Estimators Using Record Statistics of Exponentiated Inverse Weibull Distribution

  • Kim, Yong-Ku;Seo, Jung-In;Kang, Suk-Bok
    • Communications for Statistical Applications and Methods
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    • v.19 no.3
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    • pp.479-493
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    • 2012
  • The inverse Weibull distribution(IWD) is a complementary Weibull distribution and plays an important role in many application areas. In this paper, we develop a Bayesian estimator in the context of record statistics values from the exponentiated inverse Weibull distribution(EIWD). We obtained Bayesian estimators through the squared error loss function (quadratic loss) and LINEX loss function. This is done with respect to the conjugate priors for shape and scale parameters. The results may be of interest especially when only record values are stored.

The method of recovery for deleted record in Oracle Database (Oracle 데이터베이스의 삭제된 레코드 복구 기법)

  • Choi, Jong-Hyun;Jeong, Doo Won;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.5
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    • pp.947-955
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    • 2013
  • Most of the enterprise information is stored in the database. Therefore, in order to investigate the company's criminal behavior, forensic analysis is important for the database and delete record is a need to develop recovery techniques. This paper is explained structure of the oracle database tablespace file and analyzed system tables that stored table information. Further, we suggests a method of recovery for deleted record in oracle tablespace.

Objective Bayesian inference based on upper record values from Rayleigh distribution

  • Seo, Jung In;Kim, Yongku
    • Communications for Statistical Applications and Methods
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    • v.25 no.4
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    • pp.411-430
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    • 2018
  • The Bayesian approach is a suitable alternative in constructing appropriate models for observed record values because the number of these values is small. This paper provides an objective Bayesian analysis method for upper record values arising from the Rayleigh distribution. For the objective Bayesian analysis, the Fisher information matrix for unknown parameters is derived in terms of the second derivative of the log-likelihood function by using Leibniz's rule; subsequently, objective priors are provided, resulting in proper posterior distributions. We examine if these priors are the PMPs. In a simulation study, inference results under the provided priors are compared through Monte Carlo simulations. Through real data analysis, we reveal a limitation of the appropriate confidence interval based on the maximum likelihood estimator for the scale parameter and evaluate the models under the provided priors.

The Study of Metadata Model to Identify Electronic Medical Record (전자의무기록 식별을 위한 메타데이터의 연구)

  • Hong, Sung Ho;Kim, Young Seop
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.2
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    • pp.63-66
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    • 2014
  • Managing electronic medical record is very difficult, because the currently electronic medical system is not designed standard that is uniform and proper. In this paper, in order to overcome this situation, we propose meta-data for the management of the electronic medical record as a single system. To this end, we first analyzed the research on electronic medical records and related standards. Second, we, on the basis of the analysis result, abstracted electronic medical record and entities related on electronic medical, and we designed an entity-relationship model. And finally, we have to complete the meta-data through the setting attributes in this entity-relationship model. Through this study, it was possible that we can complete metadata highly expressive medical records, and suggest an alternative for problem of current medical records systems.

Nonparametric Bayesian estimation on the exponentiated inverse Weibull distribution with record values

  • Seo, Jung In;Kim, Yongku
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.3
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    • pp.611-622
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    • 2014
  • The inverse Weibull distribution (IWD) is the complementary Weibull distribution and plays an important role in many application areas. In Bayesian analysis, Soland's method can be considered to avoid computational complexities. One limitation of this approach is that parameters of interest are restricted to a finite number of values. This paper introduce nonparametric Bayesian estimator in the context of record statistics values from the exponentiated inverse Weibull distribution (EIWD). In stead of Soland's conjugate piror, stick-breaking prior is considered and the corresponding Bayesian estimators under the squared error loss function (quadratic loss) and LINEX loss function are obtained and compared with other estimators. The results may be of interest especially when only record values are stored.