• Journal of the Korean GEO-environmental Society
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• v.25 no.6
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• pp.19-24
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• 2024

Urban densification has necessitated the development of subterranean spaces such as subway networks and underground tunnels to facilitate the dispersal and movement of populations. Development of these underground spaces requires excavation from the ground surface, which can induce groundwater flow and potentially lead to ground subsidence and sinkholes, damaging structures. To mitigate these risks, it is essential to model groundwater flow prior to construction, analyze its characteristics, and predict potential groundwater discharge during excavation. In this study, we collected meteorological, topographical, and soil conditions data for the city of ○○, where tunnel construction was planned. Using the Visual MODFLOW program, we modeled the groundwater flow. Excavation sections were set as drainage points to monitor groundwater discharge during the excavation process, and the effectiveness of seepage control measures was assessed. The model was validated by comparing measured groundwater levels with those predicted by the model, yielding a coefficient of determination of 0.87. Our findings indicate that groundwater discharge is most significant at the beginning of the excavation. Additionally, the presence of seepage barriers was found to reduce groundwater discharge by approximately 59%.

• The Korean Journal of Archival Studies
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• no.26
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• pp.103-149
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• 2010

Documentation strategy has been experimented in various subject areas and local regions since late 1980's when it was proposed as archival appraisal and selection methods by archival communities in the United States. Though it was criticized to be too ideal, it needs to shed new light on the potentialities of the strategy for documenting local regions in digital environment. The purpose of this study is to analyse the implementation issues of documentation strategy and to suggest the directions for documenting local regions of Korea through the application of the strategy. The documentation strategy which was developed more than twenty years ago in mostly western countries gives us some implications for documenting local regions even in current digital environments. They are as follows; Firstly, documentation strategy can enhance the value of archivists as well as archives in local regions because archivist should be active shaper of history rather than passive receiver of archives according to the strategy. It can also be a solution for overcoming poor conditions of local archives management in Korea. Secondly, the strategy can encourage cooperation between collecting institutions including museums, libraries, archives, cultural centers, history institutions, etc. in each local region. In the networked environment the cooperation can be achieved more effectively than in traditional environment where the heavy workload of cooperative institutions is needed. Thirdly, the strategy can facilitate solidarity of various groups in local region. According to the analysis of the strategy projects, it is essential to collect their knowledge, passion, and enthusiasm of related groups to effectively implement the strategy. It can also provide a methodology for minor groups of society to document their memories. This study suggests the directions of documenting local regions in consideration of current archival infrastructure of Korean as follows; Firstly, very selective and intensive documentation should be pursued rather than comprehensive one for documenting local regions. Though it is a very political problem to decide what subject has priority for documentation, interests of local community members as well as professional groups should be considered in the decision-making process seriously. Secondly, it is effective to plan integrated representation of local history in the distributed custody of local archives. It would be desirable to implement archival gateway for integrated search and representation of local archives regardless of the location of archives. Thirdly, it is necessary to try digital documentation using Web 2.0 technologies. Documentation strategy as the methodology of selecting and acquiring archives can not avoid subjectivity and prejudices of appraiser completely. To mitigate the problems, open documentation system should be prepared for reflecting different interests of different groups. Fourth, it is desirable to apply a conspectus model used in cooperative collection management of libraries to document local regions digitally. Conspectus can show existing documentation strength and future documentation intensity for each participating institution. Using this, documentation level of each subject area can be set up cooperatively and effectively in the local regions.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.10
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• pp.387-396
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• 2018

Stock price prediction has been a difficult problem to solve. There have been many studies to predict stock price scientifically, but it is still impossible to predict the exact price. Recently, a variety of types of cryptocurrency has been developed, beginning with Bitcoin, which is technically implemented as the concept of distributed ledger. Various approaches have been attempted to predict the price of cryptocurrency. Especially, it is various from attempts to stock prediction techniques in traditional stock market, to attempts to apply deep learning and reinforcement learning. Since the market for cryptocurrency has many new features that are not present in the existing traditional stock market, there is a growing demand for new analytical techniques suitable for the cryptocurrency market. In this study, we first collect and process seven cryptocurrency price data through Bithumb's API. Then, we use the gradient boosting model, which is a data-driven learning based machine learning model, and let the model learn the price data change of cryptocurrency. We also find the most optimal model parameters in the verification step, and finally evaluate the prediction performance of the cryptocurrency price trends.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.87-94
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• 2019

In this paper, the method of analyzing the unformatted data of consumers accumulated on social networks in the era of the Fourth Industrial Revolution by utilizing data from the service design and social psychology aspects was proposed. First, the fandom phenomenon, which shows subjective and collective behavior in a space on a social network rather than physical space, was defined from a data service perspective. The fandom model has been transformed into a collective level of customer Persona that has been analyzed at a personal level in traditional service design, and social network analysis that analyzes consumers' big data has been presented as an efficient way to pattern and visually analyze it. Consumer data collected through social leasing were pre-processed by column based on correlation, stability, missing, and ID-ness. Based on the above data, the company's brand strategy was divided into active and passive interventions and the effect of this strategic attitude on the growth direction of the consumer's fandom community was analyzed. To this end, the fandom model of consumers was proposed by dividing it into four strategies that the brand strategy had: stand-alone, decentralized, integrated and centralized, and the fandom shape of consumers was proposed as a growth model analysis technique that analyzes changes over time.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.328-332
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• 2006

환경모델링 기법은 비선형 오염유출현상을 구조화하여 배출특성 규명 및 정책대안의 영향예측 도구로서 활용도가 증가하고 있다. 반면 복잡한 입력 파라미터의 구성은 모형운영에 있어 비정량적 수치를 적용할 수 있는 가능성을 내포하고 있다. 이러한 한계성을 극복하기 위해 최근 들어 GIS와 정보기술의 연계를 통한 자료관리 및 모형 매개변수 산출을 위한 연구들이 활발히 진행 중에 있다. GIS-모델링 분야의 기술적 성장에도 불구하고 정보구축의 시점, 주기, 구축 형태 등의 통일화가 이루어지지 않았다. 따라서 BASINS과 같은 기 구축된 정보 분석체계를 사용하고자 할 때 단위사업별로 구축된 공간정보의 구조해석을 다시 수행해야 하는 문제를 지니고 있다. 이는 구축된 정보를 사용하여 해석하고자 하는 주체가 분명하지 않고, 분석모델에서 요구하는 입력 자료의 구조를 명확하게 해석할 수 있는 정보기술과 분석기술의 연계부족으로 발생한 문제이다. 이에 본 연구의 목적은 NGIS사업을 통해 축척된 지형공간 데이터베이스와 GIS의 공간분석기능을 연계하여 유역 오염원 기상 공간정보의 관리, 유역 오염유출모형인 HSPF(Hydrologic Simulation Program-Fortran)의 운영정보 생성을 지원하는 지능형 정보관리시스템을 개발하는데 있다. 주 연구내용은 시스템 분석 및 설계, 기초 데이터 수집과 DB 구축, 지형 매개변수 산정을 위한 GIS-HSPF의 통합 인터페이스 구축이다. 개발된 KBASIN-HSPF는 EPA에 의해 개발된 BASIN의 유역분할, 하천망생성, 지형특성계수 산정 기능과 함께 우리나라의 지형.오염원.기상정보의 저장구조를 고려한 데이터 모델링, Tissen망에 준한 강우자료 생성 그리고 HSPF 모형운영정보 산정 및 전환기능을 포함하고 있다. KBASIN-HSPF는 유역기반 점.비점오염원 정보를 통합 관리하고자 하는 오염총량관리제의 기술적 정보관리 환경으로 활용가능하며, 기존의 오염유출모델링을 위해 자료준비부터 정보연계, 모형운영까지 분산된 환경에서 수행되었던 것을 통합환경하에서 진행함으로써 정보의 질적보장과 정보전환의 표준화방안을 제시하는 정보분석시스템이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1797-1804
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• 2015

Integrated log management system can help to predict the risk of security and contributes to improve the security level of the organization, and leads to prepare an appropriate security policy. In this paper, we have designed and implemented a Hadoop-based log analysis system by using distributed database model which can store large amount of data and reduce analysis time by automating log collecting procedure. In the proposed system, we use the HBase in order to store a large amount of data efficiently in the scale-out fashion and propose an easy data storing scheme for analysing data using a Hadoop-based normal expression, which results in improving data processing speed compared to the existing system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.7
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• pp.1567-1574
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• 2012

Since a migration method of the mobile agent is a factor that affects the overall performance of the entire distributed system, it is necessary to find efficient migration methods of the mobile agent within the sensor network and to collect and store data related to various components(server, sink and sensor node) of the sensor network, thereby providing consistent naming services. Accordingly, this paper presents design and implementation of MetaTable that is divided into MetaData where information on the sensor data server is stored and SubMetaData where various types of information on sink nodes and data on sensor nodes connected with the sink nodes is stored. Moreover, the paper also presented the implementation of forward migration of an active rule mobile agent applying the naming method based on RMI that used the meta_table and proposed the possibility of constructing efficient sensor network application environment. In this paper, for registration, release and retrieval methods suitable for new sensor network environment, we designed and implemented the naming agent by applying J2EE model based on RMI-IIOP(Internet Inter-ORB Protocol) technique.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.209-219
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• 2014

With rapid convergence of information technology and expending role of software, many organizations have taken interested in We explore the relationship between the level of change awareness and deployment of software process improvement (SPI) approaches using a competing values framework. To measure awareness level of organization's change, DICE framework which provides means for predicting the outcome of change management initiatives is used. The four factors for organizaton's change: duration, integrity, commitment, and effort are evaluated and a score is calculated. In this paper, we apply the DICE(R) score as an independent variable to predict the outcome of a software process improvement. Our results indicated that the Organization have a higher chance of success have the better outcome in software process improvement.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.419-429
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• 2013

The Wireless sensor network(WSN) consisting of a large number of sensors aims to gather data in a variety of environments. The sensor nodes operate on battery of limited power. so, To extend network life time is major goals of research in the WSN. In this paper, we state the key point of a energy consumption with minimum&load balancing. The proposed protocol guarantee balance of number of cluster member nodes using the node memory threshold and optimization of distribution of cluster head using the optimized clustering method. The results show that the proposed protocol could support the load balancing and high energy efficiency by distributing the clusters with a reasonable number of member nodes. The simulation results show that our schme ensure longer life time in WSN as compare with existing schemes such as LEACH and CBLM.

• Journal of Information Management
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• v.32 no.1
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• pp.50-70
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• 2001

As todays's networks are typically heterogeneous and very often comprised of multi-platform, multi-vendor network components, mobile agents have been proposed as a solution to the problem of the management of increasingly heterogeneous networks. Mobile agents are no longer statically resident on managed devices for network management: in contrast, they are migratory, replaceable at any time as necessary, and may be equipped with mini expert systems which can diagnose and fix networks' faults on behalf of the manager. Therefore, in this paper, the MIB browsing facilities for network management using the JAMAS and mobile agents are implemented. That is, the network manager accesses the MIB information through mobile agents with which communicate the SNMP agent of each of managed devices. The implementation performance is also evaluated.