• International conference on construction engineering and project management
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• 2009.05a
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• pp.1094-1099
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• 2009

Workforce information is important in production planning because production planning requires matching a production unit's capacity to loads of assignments. However, tracking and managing workforce information such as skills and accident history is not an easy job. This paper describes a prototype database system for a workforce database system that employs RFID technology. This system tracks daily workforce production capacity on sites. A pilot project is described to explore the benefits and possibility of using radio-frequency identification (RFID) to track and manage workforce information, and is followed by the results of a survey to identify benefits. In addition to the survey identifying the benefits of the database system, the paper also presents a list of challenges through a series of interviews.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.6
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• pp.563-569
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• 2008

In this paper, the missile database system for the multidisciplinary design and optimization framework has been designed and investigated. The requirements of the missiles database are analyzed and the database design concept has been defined first. The data flow among the analysis disciplines is investigated and the Entity-Relation diagram is constructed to develop the database table and to define the database schema. The developed database system is integrated into the missile design framework to perform the store, search and management of the design data during the design and analysis of the missile development, hence the efficiency and validity of the database designed in this study has been demonstrated.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.454-457
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• 2008

The purpose of this study is to establish 3D equipment database for BIM because of efficient using a BIM tool. In this study (or paper), we analysis the mechanism of using equipment database. And then, a based on this results we apply and conduct the results. Therefore we expect to make better using method of BIM and efficient planning method of equipment.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.118-122
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• 2005

Data mining is the process of autonomously extracting useful information or knowledge from large data stores or sets. For analyzing data of manufacturing processes obtained from database using data mining, source data should be collected form production process and transformed to appropriate form. To extract those data from database, a computer program should be made for each database. This paper presents a program to extract easily data form database in industry. The advantage of this program is that user can extract data from all types of database and database table and interface with Teamcenter Manufacturing.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.342-351
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• 1998

The purpose of this study is to develop a central database and a database management system to store and manage information systematically from each module of an integrated structural design system. In order to efficiently express structural design process related to the data which is very complex, we used an object-oriented modeling methodology to propose the possibility to apply a database schema for application programs in an integrated system for reinforced concrete structural design. Based on this model, we developed an interface between each module and central database. After modeled by using object modeling technique, the database was mapped by the relational database table. Then the central database and the interface were programed by using Visual C/syo ++/, a windows environmental development tool.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.54
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• pp.1-11
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• 2000

This study suggests the partition algorithm for updating the discovered association rules in large database, because a database may allow frequent or occasional updates, and such update may not only invalidate some existing strong association rules, but also turn some weak rules into strong ones. the Partition algorithm updates strong association rules efficiently in the whole update database reuseing the information of the old large itemsets. Partition algorithms that is suggested in this study scans an incremental database in view of the fact that it is difficult to find the new set of large itemset in the whole updated database after an incremental database is added to the original database. This method of generating large itemsets is different from that of FUP(Fast Update) and KDP(Kim Dong Pil)

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.183-196
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• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• Journal of Korean Society of Rural Planning
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• v.11 no.2 s.27
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• pp.43-49
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• 2005

As information has been brought to public attention, information storage as well as information usability has been important. Rural information is produced in many areas and institutions. However, it is difficult to use rural information comprehensively. Since formats for management are various, it is difficult to have unified frame. In this research, a schema of database fer integrating rural data is designed to improve usability using dimensional modeling. First of all, rural data are analyzed for designing integrated rural database schema. Rural data used are 'National Agricultural Statistics' and 'Gun annual statistical report'. Analysis shows that there are three considerations; administrative district, time-dependency and classification of data. Considering these three requisite, we designed database schema using dimensional modeling. The reason of using dimensional modeling is to improve usability and effectiveness. If the database was designed using ER modeling, many tables have to be joined every searching time. Separately from integrated rural database schema, user's database schema is designed considering usability. Through user's database, users can modify data or generate new data and save these processes. These make it possible to use generated data repeatedly. We evaluate usability, contribution, and effectiveness of data manipulation on the integrated rural database. We propose an integrated rural database structure improving the accessibility and usability of rural data and information and verified the data model based on a practical example.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.645-648
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• 2007

This paper describes database server management system by mobile device. Our system can control database server immediately in any where by mobile device. We have developed the dataset server CE which interface with mobile device, database management system which rons in mobile device and web services which connect the mobile database with desktop database. External mobile device communicate with web service agent via wireless equipment. Our system includes dataset server CE client engine, web service server agent and mobile device management system. Through the test by an application program, we have confirmed that our system operates very well each others.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2000.04b
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• pp.413-420
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• 2000

This paper is study for database development for integrated structural system of RC buildings based on STEP In order to develope database, CIS/2 product model and INDECON application were used. CIS/2 will be accepted STEP(The STandard for the Exchange of Product model data) AP230 and INDECON(INtelligent structural DEsign system) is a Integrated structural system of RC buildings. The paper focuses on application from CIS/2 to INDECON database.