• The KIPS Transactions:PartC
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• v.10C no.6
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• pp.717-726
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• 2003

In this paper, we analyze the associated rule based deductive algorithm which creates the rules automatically for intrusion detection from the vast packet data. Based on the result, we also suggest the deductive algorithm which creates the rules of intrusion pattern fast in order to apply the intrusion detection systems. The deductive algorithm proposed is designed suitable to the concept of clustering which classifies and deletes the large data. This algorithm has direct relation with the method of pattern generation and analyzing module of the intrusion detection system. This can also extend the appication range and increase the detection speed of exiting intrusion detection system as the rule database is constructed for the pattern management of the intrusion detection system. The proposed pattern generation technique of the deductive algorithm is used to the algorithm is used to the algorithm which can be changed by the supporting rate of the data created from the intrusion detection system. Fanally, we analyze the possibility of the speed improvement of the rule generation with the algorithm simulation.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1327-1334
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• 2004

The purpose of this paper is to implement Web 3D environment that is not provider - oriented but client-oriented in order to provide dynamic information and to analyze knowledges by executing programs on Web pages. For these, The 3D Viewer program that parses and renders ASE files - the most general 3D Model Data file and exported text file of 3D Max Studio - is made and then converted into ActiveX 3D Viewer Component that can be used on the Web. With the purpose of managing ASE and texture file efficiently and interacting between clients and server, ActiveX Component link ASP and Database with Web Service. The 3D View Web Service can make dynamic information and cooperative works easier in Networked Virtual Reality.

• The Korean Journal of Applied Statistics
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• v.31 no.6
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• pp.771-783
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• 2018

The life insurance industry is interested in various factors that influence the long-term extensions of insurance contracts such as the necessity for the advisors' long-term management of consumers, product consulting, and improvement of the investment aspects. This paper investigates important factors leading to a long-term contract that forms an important part of the life insurance industry in Korea. For this purpose we used the data of contents (i.e., data from Jan 1, 2011 to Dec 31, 2016) of the contracts of xxx insurance company. In this paper, we present how to select important variables to influence the duration of the contract maintenance via a penalized Cox's proportional hazards (PH) modelling approach using insurance life data. As the result of analysis, we found that the selected important factors were the advisor's status, the reward type 2 (annuity insurance) and tendency 4 (safety-pursuing type).

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.102-110
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• 2023

The MATS(Missile Assembly Test Set) is manufactured and used to check the function of the missile during the period of development for the guided missile system, and the requirements for power and communication are managed for equipment production. The MATS developer implements software according to the proposed communication standard to guarantee the reliability of the data that communicates with the guided missile. The test bed is built and self-performance evaluation is performed after implementation. And the verification process is performed using the standard equipment. The characteristics of periodic delay for data transmission must be reflected when building a test bed. This paper describes a test bed construction method for data processing with periodic delay. Also This paper compares and evaluates the performance by changing the previously designed algorithm.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.81-88
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• 2024

Despite the rapid growth of the generative AI market and significant interest from domestic companies and institutions, concerns about the provision of inaccurate information and potential information leaks have emerged as major factors hindering the adoption of generative AI. To address these issues, this paper designs and implements a question-answering system based on the Retrieval-Augmented Generation (RAG) architecture. The proposed method constructs a knowledge database using Korean sentence embeddings and retrieves information relevant to queries through optimized searches, which is then provided to the generative language model. Additionally, it allows users to directly manage the knowledge database to efficiently update changing business information, and it is designed to operate in a private network to reduce the risk of corporate confidential information leakage. This study aims to serve as a useful reference for domestic companies seeking to adopt and utilize generative AI.

• Journal of KIBIM
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• v.2 no.1
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• pp.7-17
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• 2012

In recent years, building information modeling (BIM) has been an important issue within the architect, engineering, and construction (AEC) industry. BIM provides a way to share and exchange semantically rich information about the buildings in order to achieve a successful level of collaboration, communication, and interaction between stakeholders throughout the life cycle of the project. However, despite the recognition of its potential, BIM has not yet been utilized in the construction, operation, and maintenance stages because of the need to reorganize the BIM by reflecting the as-built status of the buildings. In order to improve and increase the use of BIM at all phases of a project, several research efforts are exploring the creation of an as-built BIM that is based on advanced sensors. However, there is a lack of literature and investigation on this research area to date within the domestic AEC industry. The aim of this study is to suggest ways in which BIM can be utilized within the construction, operation, and maintenance stages based on advanced sensors so that it is an approach that might be usefully carried forward. This paper begins by presenting a review of the existing BIM research and achievement in order to determine the limitations of the use of BIM in the domestic AEC industry. Conclusively, this paper suggests a direction for the future applications of BIM and describes how it can benefit from additional research.

• Korean Journal of Construction Engineering and Management
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• v.22 no.4
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• pp.29-40
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• 2021

Recently, interest in Building Information Modeling (BIM) has increased globally, and 3D modeling is a start for the application of BIM at construction sites. However, while many studies have been conducted on the efficiency of 3D modeling focused on civil facilities, there is a lack of research on the earthwork BIM. In particular, since 3D slope often has complex shapes depending on the ground models, the efficiency method for 3D slope are needed. This study analyzed the interfaces and procedures of other software to find out what functions users need. Then the functions to enter intervals between 3D faces, select multiple ground models, and improve the interface are reflected on the developed system and is able to efficiently perform modeling with only five steps, and reduce the number of clicks and inputs. As a result of conducting the test to verify the efficiency, using the developed system made skilled users complete modeling at least 1.8 times faster and unskilled people at least 2.4 times faster than using other software. This is expected to perform 3D slope modeling more efficiently, as well as to contribute to the activation of future BIM adoption for housing construction projects.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1010-1026
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• 2004

The goal of product line engineering is to support the systematic development of a set of similar software systems by understanding and controlling their common and distinguishing characteristics. The product line engineering is a process that develops reusable core assets and develops a set of software-intensive systems from a common set of core assets in a prescribed way. Currently, many software development technologies are accomplished in context of product line. However, much of the product line engineering research have focused on the reuse of work products relating to the software's architecture, detail design, and code. The product lines fulfill the promise of tailor-made systems built specifically for the needs of particular customers or customer groups. In particular, commonality and variability play central roles in the all product line development processes. These must be treated already during the requirement analysis phase. Requirements in product line engineering are basis of software development just like as traditional system development engineering, and basis of deciding other core assets' property - commonalities and variabilities. However, it is difficult to elicit, analyze and manage correct requirements. Therefore, it is necessary to develop systematic methods which can develop and manage requirement as core asset, which can be stable in anticipative change and can be well adapted to unpredictable change. In this paper, we suggest a method of managing requirements as core asset in product line. Through this method, the reuse of domain requirements can be enhanced. As a result, the cost and time of software development can be reduced and the productivity can be increased.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.167-172
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• 2006

It follows recently in an order augmentation of overseas construction market plant field and the project of oil gas field is increasing. Consequently, the hazard which secures the competitive power of the overseas plant enterprise of the domestic building industry enterprises the technical competitiveness security which stands, productivity improvement and strategy management propulsion back positive disposal plan establishment are demanded. Even from in that oil gas field of overseas plant enterprise for an industrial competitive power improvement the application of EPC circulation information which relates with a project accomplishment is more demanded, the EPC phased star efficiently it manages the circulation information contents which occurs from the business which is various it is not presented it cannot there is a contents classification system for. If with him about lower the draft the problem point of information omission back of occurrence and business subject for of the fringe land and duplication business occurs, about lower the productivity decrease actual condition is appearing with such problem point. The research which it sees consequently in order to improve the use characteristic of the augmentation of practical application of the contents management system of oil gas field and building industry information civil official establishhes the contents management system the BPM for (Business Process Management) to present the contents classification system of base, it does to sleep. The part of Business Process materiality the knowledge which is demanded, contents information and system anger it analyzes system anger of industrial equipment circulation information it takes a triangular position and to sleep it does.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.37 no.2
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• pp.77-84
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• 2024

In the fourth industrial-revolution era, the construction industry is transitioning from traditional methods to digital processes. This shift has been challenging owing to the industry's employment of diverse processes and extensive human resources, leading to a gradual adoption of digital technologies through trial and error. One critical area of focus is the safety management at construction sites, which is undergoing significant research and efforts towards digitization and automation. Despite these initiatives, recent statistics indicate a persistent occurrence of accidents and fatalities in construction sites. To address this issue, this study utilizes large-scale language-model artificial intelligence to analyze big data from a construction safety-management information network. The findings are integrated into on-site models, which incorporate real-time updates from detailed design models and are enriched with location information and spatial characteristics, for enhanced safety management. This research aims to develop a big-data-driven safety-management platform to bolster facility and worker safety by digitizing construction-site safety data. This platform can help prevent construction accidents and provide effective education for safety practices.