• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.34-45
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• 2019

To drive construction project successful, a construction manager with good competency is needed. In order to select appropriate construction manager, there should be a standard and a method for appropriately evaluating the competency of construction manager. There have been many researches on the competency of construction managers, but there are two points to be supplemented. One is that construction manager's competency measurement was not concrete and objective, and the other is that construction project performance directly reflects individual manager's performance. The purpose of this study is to derive a construction manager competency evaluation index by using the Notational Analysis technique that is used when deriving an indicator that measures the athlete's competency in sports. This analysis was drawn with Delphi method. Finally, the 'measurable behaviors'were derived that can evaluate the competency of construction managers. Through this, it is possible to express each manager's expertise, leadership, and personal characteristics in numerical expression. This will help decision makers when selecting construction managers. It is anticipated that decision makers will be able to make the decision to select the necessary construction managers easier because it can evaluate the construction managers through a scientific approach based on the record by supplementing the existing method which only relied on intuition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.479-488
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• 2019

The flight test operational procedure artifact includes mission planning, execution methods, and safety measures for each step of test progress. As the development of guided missiles has become more advanced and strategic, flight test has become increasingly complex and broadened. Therefore, increased reliability of the flight test operation procedures was required to ensure test safety. Particularly, the design of the flight test operational procedures required verification through M&S to predict and prepare for the uncertainty in a new test. The relevant studies have published the optimal framework development for flight tests and the model-based improvements of flight test processes, but they lacked the specificity to be applied directly to the flight test operational procedures. In addition, the flight test operational procedures, which consist of document bases, have caused problems such as limitations of analysis capabilities, insensitive expressions, and lack of scalability for the behavior and performance analysis of test resources. To improve these problems, this paper proposes how to design operational procedure of guided missile flight test system by applying MBSE(Model-based Systems Engineering). This research has improved reliability by increasing the ability to analyze the behavior and performance of test resources, and increased efficiency with the scalability applicable to multiple flight tests. That can be also used continuously for the guided missile flight tests that will be developed in the future.

• Korean Journal of Heritage: History & Science
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• v.54 no.3
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• pp.192-203
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• 2021

This paper investigates the process of change in the meaning of the term gongye (工藝) (nowadays it means craft) during Korea's transition to the modern era. The Annals of the Joseon Dynasty (朝鮮王朝實錄) will serve as the basis for the examination of pre-modern usage, and the Korea-United States Treaty of 1882 for the changes that occurred between the translation from Chinese and from Japanese following the opening of the port . After the port opened, the meaning of gongye, which once broadly referred to the wide range of work of people from different fields, was narrowed down to singularly represent the manufacturing industry. Following the example of Japan, the first East Asian country to succeed in modernization, this new meaning of gongye was generally used in the context of embracing Western culture and creating industry. As industrialization emerged as a national mission, and new terminology was needed to express these new concepts, the Chinese characters used by the Japanese to translate Western concepts were directly imported and used without making any changes. Gongye was similar in meaning to gongeop (工業) (nowadays it means industry) at the time, and the two terms were used interchangeably. However, following the Japanese annexation of Korea, the cultural administration of the Governor-General imbued the term with artistic concepts, and gongye was differentiated from gongeop, As such, examining the establishment of terminology and concepts can be helpful for understanding the contradictions and problems of the Korean crafts scene, which were derived from a period in the past called the modern era.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.2
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• pp.49-63
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• 2008

RDF is the base ontology model which is used in Semantic Web defined by W3C. OWL expands the RDF base model by providing various vocabularies for defining much more ontology relationships. Recently Jain and Farkas have suggested an RDF access control model based on RDF triple. Their research point is to introduce an authorization conflict problem by RDF inference which must be considered in RDF ontology data. Due to the problem, we cannot adopt XML access control model for RDF, although RDF is represented by XML. However, Jain and Farkas did not define the authorization propagation over the RDF upper/lower ontology concepts when an RDF authorization is specified. The reason why the authorization specification should be defined clearly is that finally, the authorizatin conflict is the problem between the authorization propagation in specifying an authorization and the authorization propagation in inferencing authorizations. In this article, first we define an RDF access authorization specification based on RDF triple in detail. Next, based on the definition, we analyze the authoriztion conflict problem by RDF inference in detail. Next, we briefly introduce a method which can quickly find an authorization conflict by using graph labeling techniques. This method is especially related with the subsumption relationship based inference. Finally, we present a comparison analysis with Jain and Farkas' study, and some experimental results showing the efficiency of the suggested conflict detection method.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.623-633
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• 2020

As the time spent in indoor space has increased, the demand for services targeting indoor spaces also continues to increase. To provide indoor spatial information services, the construction of indoor spatial information should be done first. In the study, a method of generation IndoorGML, which is the international standard data format for Indoor space, from existing BIM data. The characteristics of IFC objects were investigated, and objects that need to be converted to IndoorGML were selected and classified into objects that restrict the expression of Indoor space and internal passages. Using the proposed method, a part of data set provided by the BIMserver github and the IFC model of the 21st Century Building in University of Seoul were used to perform experiments to generate PrimalSpaceFeatures of IndoorGML. As a result of the experiments, the geometric information of IFC objects was represented completely as IndoorGML, and it was shown that NavigableBoundary, one of major features of PrimalSpaceFeatures in IndoorGML, was accurately generated. In the future, the proposed method will improve to generate various types of objects such as IfcStair, and additional method for automatically generating MultiLayeredGraph of IndoorGML using PrimalSpaceFeatures should be developed to be sure of completeness of IndoorGML.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.133-142
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• 2021

With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.837-854
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• 2021

This study was conducted to explore parenting experiences for mothers of adolescent children. Participants in the study were 7 primary caregivers of children in the first to third grades of middle school in the Seoul area, and in-depth interviews were conducted from September to November 2019. After recording the interviews of each participant, the transcripts of verbal words and documents that were the summary of the interview were collected as data. In this study, the participants' perceptions of experiences and actions were analyzed by Smith & Osborn (2003)'s interpretative phenomenological method, which allows researchers to make meanings. As a result of data analysis, 6 major topics and 25 sub-themes were derived. The results derived from the parenting experiences of mothers of adolescents are largely six types: the implications of spending time with their children, unnatural act, the aesthetics of expression, the way to recharge energy, the mental heritage that they want to leave for their children, and resilience. The research results of this study can be presented so that they can learn the healthy responses and interaction of care-givers in a preventive educational dimension, as it provides both generality and specificity of how mothers should interact with their adolescent children in the field of clinical practice.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.3-14
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• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.

• 지역과문화
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• v.7 no.3
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• pp.81-108
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• 2020

This study aims to critically consider the local cultural policies of the government and local governments by village mural. Village murals, which began to be painted in the late 1990s, have been a nationwide cultural phenomenon for decades. In particular, it was consistently used as an important element of various local cultural policies implemented by the government and local governments. The government and local governments have been working on the project for two purposes: 'improving the residential environment' and 'activating tourism' but it has largely focused on 'activating tourism'. This study grasped the concrete status of major village murals across the country through field surveys, one of the case study methods. Also, through the analysis of official documents, the government and local governments operating in the village mural project were analyzed for the policy basis and administrative management plan. As a result of on-site surveys, most of the village murals across the country had problems such as uniform subject matter, low level representation, and poor follow-up management. This is partly based on the experiences and abilities of organizations and artists who participated in the village mural project, but fundamentally, it is due to the projects of the government and local governments that focused on short-term visual tourism rather than long-term improvement of the residential environment. It was confirmed that the projects of the government and local governments were carried out through vertical integration and that there were problems in the actual work, such as requiring specific topics, subject matter, designs and colors. As a result, the village murals 'objectify' the residents and 'romanticized' the place, resulting in a unified visual representation. Therefore, this study suggests that the administration and accounting should be strictly managed, but in actual work, the vertical integration structure should be eased by simplifying various documents and procedures, as well as rich cultural understanding of the target place, selection of various topics, and original subject matter and expressions.

• The Korean Journal of Applied Statistics
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• v.37 no.4
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• pp.395-410
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• 2024

Text data is usually made up of a wide variety of unique words. Even in standard text data, it is common to find tens of thousands of different words. In text data analysis, usually, each unique word is treated as a variable. Thus, text data can be regarded as a dataset with a large number of variables. On the other hand, in text data classification, we often encounter class label imbalance problems. In the cases of substantial imbalances, the performance of conventional classification models can be severely degraded. To improve the classification performance of support vector machines (SVM) for imbalanced data, algorithms such as the Synthetic Minority Over-sampling Technique (SMOTE) can be used. The SMOTE algorithm synthetically generates new observations for the minority class based on the k-Nearest Neighbors (kNN) algorithm. However, in datasets with a large number of variables, such as text data, errors may accumulate. This can potentially impact the performance of the kNN algorithm. In this study, we propose a method for enhancing prediction performance for the minority class of imbalanced text data. Our approach involves employing variable selection to generate new synthetic observations in a reduced space, thereby improving the overall classification performance of SVM.