• KIPS Transactions on Software and Data Engineering
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• v.6 no.1
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• pp.37-44
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• 2017

While IoT (Internet of Things) industry has been spreading, it becomes very important for object to recognize user's information by itself without any control. Above all, gender (male, female) is dominant factor to analyze user's information on account of social and biological difference between male and female. However since each gender consists of diverse face feature, face-based gender classification research is still in challengeable research field. Also to apply gender classification system to IoT, size of device should be reduced and device should be operated with low power. Consequently, To port the function that can classify gender in real-world, this paper contributes two things. The first one is new gender classification algorithm based on deep learning and the second one is to implement real-time gender classification system in embedded board operated by low power. In our experiment, we measured frame per second for gender classification processing and power consumption in PC circumstance and mobile GPU circumstance. Therefore we verified that gender classification system based on deep learning works well with low power in mobile GPU circumstance comparing to in PC circumstance.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.167-175
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• 2007

Fuzzy logic is used to represent qualitative knowledge and provides interpretability to a controlling system model in bioinformatics. This paper focuses on a bioinformatics data classification which is an important bioinformatics application. This paper reviews the two traditional controlling system models The sequence-based threshold controller have problems of optimal range decision for threshold readjustment and long processing time for optimal threshold induction. And the binary-based threshold controller does not guarantee for early system stability in the GPCR data classification for optimal threshold induction. To solve these problems, we proposes a fuzzy-based threshold controller for ART1 clustering in GPCR classification. We implement the proposed method and measure processing time by changing an induction recognition success rate and a classification threshold value. And, we compares the proposed method with the sequence-based threshold controller and the binary-based threshold controller The fuzzy-based threshold controller continuously readjusts threshold values with membership function of the previous recognition success rate. The fuzzy-based threshold controller keeps system stability and improves classification system efficiency in GPCR classification.

• The Korean Journal of Archival Studies
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• no.76
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• pp.119-157
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• 2023

This study attempted to propose a faceted search function to supplement metadata for existing presidential gifts. To this end, based on 3,574 presidential gifts provided online by the Presidential Archives, identified the characteristics of records extracted from the gift name, gift giver, gift country, gift date, and receipt process, specifications, and characteristics of the presidential gift. Based on this, study designed a facet-based classification of presidential gifts with 5 basic facets and 51 sub-facets and structured facets define each facet element and assign an arrangement order and symbol. This classification system can be expected to be utilized as a basis for building faceted navigation by applying it to a search system. Through the study, it was confirmed that it was necessary to develop a new classification system for presidential gifts, and it was proposed to apply facet classification as an alternative classification system for this purpose.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.4
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• pp.25-46
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• 2023

The purpose of this study is to improve the records classification system of the Korean Province of the Daughters of St. Paul for the systematic management and usage of records that they produced and collected. First, the ideology of the foundation of the Congregation and the history of the Korean Province were investigated, and the structure of the community and the present condition of records management were surveyed. The classification methods were chosen according to function, organization, and type for categorization of records. Afterward, the classification system of the General House Historical Archives was analyzed, and some parts set to be improved from the current system were examined. Finally, a revised classification system was suggested. The result of this study can be used to update the system and become a useful material for developing systems of other Catholic Congregations.

• Journal of KIISE:Databases
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• v.28 no.4
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• pp.545-557
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• 2001

In this paper we propose a hierarchical classification algorithm based on rough membership function which can reason a new object approximately. We use the fuzzy reasoning method that substitutes fuzzy membership value for linguistic uncertainty and reason approximately based on the composition of membership values of conditional sttributes Here we use the rough membership function instead of the fuzzy membership function It can reduce the process that the fuzzy algorithm using fuzzy membership function produces fuzzy rules In addition, we transform the information system to the understandable minimal decision information system In order to do we, study the discretization of continuous valued attributes and propose the discretization algorithm based on the rough membership function and the entropy of the information theory The test shows a good partition that produce the smaller decision system We experimented the IRIS data etc. using our proposed algorithm The experimental results with IRIS data shows 96%~98% rate of classification.

• Journal of Korea Multimedia Society
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• v.13 no.2
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• pp.237-248
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• 2010

When scenes in the real world are perceived for the purpose of computer/robot vision fields, there are great deals of texture based patterns in them. This paper introduces a texture feature representation on a coordinate system in which many different patterns can be represented with a mathematical model (Gabor function). The representation of texture features of each pattern on the coordinate system results in the high performance/competence of texture pattern classification. A decision tree algorithm is used to classify pattern data represented on the proposed coordinate system. The experimental results for the texture pattern classification show that the proposed method is better than previous researches.

• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.54-65
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• 2008

When DDoS attack is achieved, malicious host discovering is more difficult on wireless network than existing wired network environment. Specially, because wireless network is weak on wireless user authentication attack and packet spoofing attack, advanced technology should be studied in reply. Integrated Access Device (IAD) that support VoIP communication facility etc with wireless routing function recently is developed and is distributed widely. IAD is alternating facility that is offered in existent AP. Therefore, advanced traffic classification function and real time attack detection function should be offered in IAD on wireless network environment. System that is presented in this research collects client information of wireless network that connect to IAD using AirSensor. And proposed mechanism also offers function that collects the wireless client's attack packet to monitoring its legality. Also the proposed mechanism classifies and detect the attack packet with W-TMS system that was received to IAD. As a result, it was possible for us to use IAD on wireless network service stably.

• Journal of the Korean Society for Precision Engineering
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• v.6 no.3
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• pp.60-67
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• 1989

An automated classification and coding system for structure of injection mold is developed based on the statistical analysis and the critical evaluation of the results for the sample survey of 200 assembly drawings of injection mold. The proposed system is a mixed code system consisting of 15 digits and each digit consists of 10 numerical codes. An interactive computer program is developed by using TURBO PASCAL on IBM PC/AT compatible system. A case study is discussed to show the procedure and the function of the system. The results for applications of the system to real problems show that the system works well and is useful for design, manufacturing and management of injection mold.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.99-104
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• 2022

In this paper, to increase the maintenance efficiency of the urban railway train control system and to build a standard data system, we collect as much as possible structured, unstructured, and semi-structured data, and collect data by sensing and monitoring the system status and system status and monitoring. pre-process function data(Identification, purification, integration, transformation) through effective data classification and maintenance activities business classification system was studied. The purpose of this is to define the data matrix model by considering the relationship with the data generated and managed in the O&M stage of the train control system operated by the urban railway together with the WBS model, and to reflect and utilize it in practice.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.3
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• pp.39-54
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• 2020

Records at closed private universities are simply kept in stacks without the use of records classification systems. However, the systematic management of such records is needed as these are important records that have legal and evidential value during the litigation process. Therefore, this study intends to develop a classification system for recordkeeping at closed private universities aiming to eliminate unnecessary follow-up procedures that may occur because of the absence of a records classification system, and to develop practical tools for managing records at closed universities. To this end, Seonam University, among the 13 transfer records kept by the Korea Advancing Schools Foundation, was selected as the example for this study. The peculiarities of the closing processes and the catalogs of the transfer records were reviewed, and a business function analysis was conducted. Based on the Guidelines for Prescribing Retention Period of University Records by the National Archives and the Ministry of Education, a records classification system for the closed private universities was proposed for the Records Disposition Schedule to handle the uniqueness of closed universities.