• Communications for Statistical Applications and Methods
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• v.16 no.1
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• pp.1-11
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• 2009

When micro data are released to users, record by record data are disclosed and the disclosure risk of respondent's information is inevitable. Statistical disclosure control techniques are statistical tools to reduce the risk of disclosure as well as to increase data utility in case of data release. In this paper, we reviewed the concept of disclosure and disclosure risk as well as statistical disclosure control techniques and then investigated selection strategies of a statistical disclosure control technique related with data utility. The risk-utility frontier map method was illustrated as an example. Finally, we listed some check points at each step when microdata are released.

• Journal of the Korean Data and Information Science Society
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• v.10 no.1
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• pp.119-133
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• 1999

A Markov Chain Monte Carlo method is developed to compute the software reliability model. We consider computation problem for determining of posterior distibution in Bayseian inference. Metropolis algorithms along with Gibbs sampling are proposed to preform the Bayesian inference of the Mixed model with record value statistics. For model determiniation, we explored the prequential conditional predictive ordinate criterion that selects the best model with the largest posterior likelihood among models using all possible subsets of the component intensity functions. To relax the monotonic intensity function assumptions. A numerical example with simulated data set is given.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.5
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• pp.132-138
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• 2021

Artificial intelligence technology sheds light on new ways of innovating acupuncture research. As acupoint selection is specific to target diseases, each acupoint is generally believed to have a specific indication. However, the specificity of acupoint selection may be not always same with the specificity of acupoint indication. In this review, we propose that the specificity of acupoint indication can be inferred from clinical data using reverse inference. Using forward inference, the prescribed acupoints for each disease can be quantified for the specificity of acupoint selection. Using reverse inference, targeted diseases for each acupoint can be quantified for the specificity of acupoint indication. It is noteworthy that the selection of an acupoint for a particular disease does not imply the acupoint has specific indications for that disease. Electronic medical record includes various symptoms and chosen acupoint combinations. Data mining approach can be useful to reveal the complex relationships between diseases and acupoints from clinical data. Combining the clinical information and the bodily sensation map, the spatial patterns of acupoint indication can be further estimated. Interoperable medical data should be collected for medical knowledge discovery and clinical decision support system. In the era of artificial intelligence, machine learning can reveal the associations between diseases and prescribed acupoints from large scale clinical data warehouse.

• The Korean Journal of Archival Studies
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• no.60
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• pp.49-88
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• 2019

Today, the civil society plays a key role not only in criticizing and monitoring the functions of the state and the market, but also as an active producer of public services by complementing the government and the public sector. Public records management is also becoming more and more popular. In the case of appraisal and selection, which is the core area of record management, discussions about citizen participation are becoming more serious than any other areas. The concept of 'proactive appraisal', which has emerged as a paradigm of citizens' participation in appraisal, reminds us that citizens themselves are the subjects of public records and are no longer alienated from the appraisal system. The problem is, while the growth of the Korean civil society about institutional participation is spreading rapidly, but citizen participation is hard to find in the field of public records. The purpose of this paper is to examine the role of citizen participation in the process of appraisal of public records, and to debunk the role of citizen participation in the appraisal processes by exploring the examples in the UK, Canada, and Australia. This paper emphasizes that the appraisal system of the national public records in crisis today could be largely restored through the domestic application of this active citizen participation cases. First of all, this study presents a conceptual appraisal model that could reflect citizen participation in the field of record management along with the analyses of the advanced cases in some western countries. Specifically, this paper focuses on presenting the models of 'appraisal documentation' and 'governance-based appraisal', reflecting the active citizen participation. This study suggests that these citizens' participatory evaluation models should be settled in Korea in the future and we should urgently discuss 'citizen participation appraisal'.

• Journal of Korean society of Dental Hygiene
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• v.6 no.3
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• pp.219-228
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• 2006

The research which it sees against the self concept of part dental hygienes students from the hazard which it examines dental hygienes which is located on Kyoung-Buk and students 318 people in the object un-signature it enforced a research with the entry method which it got a same result. 1. From general characteristics of part hygiene students "the employment went well from the motive which selects hygiene" and it appeared most highly. The employment will go well and the social advance will do and ease when seeing specially with characteristics of college, it has an corresponding with the fact that is a possibility of employment.. 2. The average score against the self concept of part hygiene students "me it is an existence which is isolated from this world and nothing to do with the others". It appeared most highly with 3.52. The negation self concept appeared more highly affirmative self concept than. 3. To self concept and grade, religion, health condition, hygiene selection motive, subject record and native high school of part hygiene students the difference which considers statistically did not appear(p>0.05). However it tries to observe the self concept which it follows subject satisfactory degree, it is very unsatisfactorily(3.37) with it is unsatisfactorily(3.16) gaps it was not visible the difference which considers statistically, it is very satisfied(3.37) with the difference which considers statistically it was visible(p<0.05). Students the affirmative reaction is correct phenomenon in order to establish a specialty intuition. 4. When self concept and record and the subject satisfaction sees a interrelation for, Between self concept subject satisfaction is appeare big affirmative interrelation(r=0.331) and the subject record and subject satisfaction just interrelation appeared as well(r=0.282) all they considered statistically and appeared.(p=0.000) but to self concept and subject record for the interrelation did not appear. Negation self concept of part hygiene students appears more strongly than affirmative one, And studying for self concept of the students, it leads through the program which is the possibility to pull affirmatively is demanded.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.127-154
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• 2017

Large-scale and complex disasters have frequently occurred all over the world recently, and they are repeated every year. Accordingly, the need for the systematic management and utilization of raw-data and processing information in the past has increased. For this purpose, this study proposed a construction strategy for disaster and safety record information resources archives based on automatic acquisition, which can be used as a hub for disaster and safety information. Based on local and foreign case studies, several consideration factors for building the archives are determined. Finally, this study proposed four steps for constructing the archives. These are as follows: 1) complete enumeration survey of the disaster and safety record information resources, 2) automatic acquisition possibility study, 3) selection of the resources for preservation, and 4) automatic acquisition of metadata. The construction of the archives proposed in this study will facilitate integrated management, sharing, and use of scattered information resources on disaster and safety.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.4
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• pp.259-283
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• 2023

This study acknowledges that prevailing regulation concerning for the long-term preservation of electronic records focus mainly on document types, neglecting the preservation of electronic records from various administrative information systems. With the growing interest in data management in the era of big data, it is imperative to establish clear standards for the long-term preservation of datasets. The choice of preservation format for electronic records is based on the specific standards for each type of electronic record. These standards are formulated according to the significant properties relevant to the electronic record type. This study aims to identify the significant properties of electronic records of each record type, before creating specific preservation format selection criteria for these record types. To achieve this, we reviewed and analyzed R&D studies by the National Archives of Korea and the NARA in the United States. As a result of the research, 9 significant properties were identified for database-type entities, and 7 significant properties were identified for structured data-type entities.

• Journal of the korean Society of Automotive Engineers
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• v.4 no.2
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• pp.13-23
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• 1982

To understand the effects of turbulence on combustion, it was experimentally investigated in the combustion chamber with sub-chamber by using pressure record and high speed Schlieren motion picture. The results show that turbulence can increase the flame propagating rate and there exists a condition under which the total burning time becomes the minimum. And it was also found that there exist three kinds of flame propagating pattern and the total burning time can be reduced with the appropriate selection of sub-chamber size and orifice diameter.

• Korean Journal of Computational Design and Engineering
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• v.1 no.1
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• pp.20-32
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• 1996

The boundary evaluation technique for Boolean operation on non-manifold models which is regarded as the most popular and powerful method to create and modify 3-D CAD models has been developed. This technique adopted the concept of Merge and Selection in which the CSG tree for Boolean operation can be edited quickly and easily. In this method, the merged set which contains complete information about primitive models involved is created by merging primitives one by one, then the alive entities are selected following the given CSG tree. This technique can support the hybrid representation of B-rep(Boundary Representation) and CSG(Constructive Solid Geometry) tree in a unified non-manifold model data structure, and expected to be used as a basic method for many modeling problems such as data representation of form features, and the interference between them, and data representation of conceptual models in design process, etc.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.9
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• pp.832-837
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• 2007

Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology develope, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on a reinforcement learning.