• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.1
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• pp.88-97
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• 1989

A new system for three dimensional object recognition is proposed in an attempt to overcome the lack of accuracy and flexibility, the essential problem at which model-based recognition technique faces. Hierarchical data base was designed to manage a number of features efficiently which are extracted for the purpose of matching by the system and to provide information necessary to match systema6tically. The results of matching, in turn, is fed back to the data base, and stored in. The recognition is done by saving the results on higher level of hierachical data base.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.184-185
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• 2004

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.791-795
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• 2006

Urban transit is one of the most effective ways for efficient operation and construction of an urban transit by composition system which is liked originally such as rolling-stock, power, signal and infrastructure. Urban rail transit system is running in domestic, imports major equipments from advanced countries and setup for maintenance. But it takes long time because it does each organizations and lines. Also, signal, power and track system apply different standard by each construction organizations it causes an increasing construction of cost accordingly it desperately needs a systematic countermeasure. Therefore standard specification of urban transit have been establishing and operatingfor efficient operation of urban transit and base technology security that is populace ride to become a base of state economy. After track, power and signal system will be announced. Standard specification become more, the importance of administrationof standards is emphasized more. Specification administrator’s the importance which use a computing support tool recently in railroad part in embossed and is predicted to be more such forward. Therefore we propose the effective method of management with track, power signal system by constructed data-base system.

• KSCI Review
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• v.1 no.2
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• pp.73-94
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• 1995

In this paper, design of efficient NDB(Network Data Base) for the activation plan of chain information network. The DB structure build up, logical structure, store structure, physical structure, the data express for one's record, and the express using linked in the releation of data. Also express as hierarchical model on the DSD(Data Structure Diagram) from the database with logical structure. Each node has express on record type, the linked in course of connective this type, the infuence have efficent of access or search of data, in the design for connection mutually a device of physical, design for database, and construction a form of store for logical. Also activation of chain information network of efficent, using POS(Point Of Sale) system in OSI(Open Systems Interconnection) environment for network standardization, and build up network a design for system.

• Journal of the Korean Geographical Society
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• v.43 no.5
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• pp.761-774
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• 2008

Integration of GIS data and human expert knowledge into digital image processing has long been acknowledged as a necessity to improve remote sensing image analysis. We propose inductive machine learning algorithm for GIS data integration and rule-based classification method for land cover classification. Proposed method is tested with a land cover classification of a Landsat ETM+ multispectral image and GIS data layers including elevation, aspect, slope, distance to water bodies, distance to road network, and population density. Decision trees and production rules for land cover classification are generated by C5.0 inductive machine learning algorithm with 350 stratified random point samples. Production rules are used for land cover classification integrated with unsupervised ISODATA classification. Result shows that GIS data layers such as elevation, distance to water bodies and population density can be effectively integrated for rule-based image classification. Intuitive production rules generated by inductive machine learning are easy to understand. Proposed method demonstrates how various GIS data layers can be integrated with remotely sensed imagery in a framework of knowledge base construction to improve land cover classification.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.234-238
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• 2007

Since the plant industry is a total business, it has great impact on the related industries and generates high value. However, in order to have a competitive engineering skills and capabilities, the plant industry requires long-term investment and a continuous strategic planning at the consortium level or national level. Also, a system needs to be established to share the information of the plant industry's overseas orders awarded and success factors. Thus, this study has conducted a survey and case study of the plant construction in foreign countries. Statistical analysis was performed and a basic data structure was built as a means of improving the future technological capabilities of the plant industry.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.63-67
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• 2000

In order to develop a character recognition system, it is an essential preceding work that gathers an image data of the standard. On this purpose a data of the digitized images of a handwritten characters was collected. The types of a gathered image data are Korean character, Chiness character, Numeral, English character, Special character, and so on. This paper deals with a handwritten character image data base, and the image data base different from the general storage structure of a lame capacity multimedia was designed and builded.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.245-251
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• 1999

In this study, by using the natural language processing of the field artificial intelligence, automated index was performed . And then, the Natural Language Processor for Constructing Database (NALPDB) has been developed. Furthermore, the Design knowldege Information Relational DataBase (DIREDB) has been also developed, which is designed to interlock the knowledge base. DIREDB processes both the documented design-data , like a concrete standard specification, and the design knowledge frrom an expert. DIREDB is also simulates the design space of structures accordance with the production rule, and thus it is determined that DIREDB can be used as a engine to retrieve new knowledge and to implement knowldege base that is necessary to the development of automatic design system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.229-230
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• 2022

With the development of digital technology, construction companies at home and abroad are in the process of computerizing work and site information for the purpose of improving work efficiency. To this end, various technologies such as BIM, digital twin, and AI-based safety management have been developed, but the accuracy and completeness of the related technologies are insufficient to be applied to the field. In this paper, the learning data that has undergone a pre-processing process optimized for recognition of construction information based on structural members is trained on an existing artificial intelligence model to improve recognition accuracy and evaluate its effectiveness. The artificial intelligence model optimized for the structural member created through this study will be used as a base technology for the technology that needs to confirm the safety of the structure in the future.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.175-179
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• 2009

Researches of current PMIS(Project Management Information System) information searching focus on providing personalized results as well as matching needed queries in an enormous amount of information. This paper aim at discovering hidden knowledge to provide personalized and inferred search results based on the ontology with categorized concepts and relations among construction data. The current PMIS searching occasionally presents too much redundant information or offers no matching results from large volumes of data. In this paper, we propose a service searching system, which becomes aware of users device using iPMIS(Intelligent Program Management Information System). And we design and plant the ontology-based iPMIS, which is aware of the context in its environment.