• 안보군사학연구
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• 통권2호
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• pp.261-283
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• 2004

To build up the military strength based on information oriented armed forces, the Korean ministry of national defense (MND) promotes the defense CALS (Continuous Acquisition and Life cycle Support) initiative for the reductions of acquisition times, improvements of system qualities, and reductions of costs. These defense CALS activities are the major component of the underlying mid and long term defense digitization program and the ultimate goal of program is to bring a quick victory by providing real-time battlefield intelligence and the economical operations of the military. The concept of defense CALS is to automate the acquisition and disposition of defense systems throughout their life cycle. For implementing defense CALS, the technology for exchange and sharing CALS standard data that is created once and used many times should be considered. In order to develop an efficient CALS information exchange and sharing system, it is required to integrate distributed and heterogeneous data sources and provide systematic search tools for those data. In this study, we developed a content based search engine technology which is essential for the construction of integrated data environments. The developed technology provides the environment of sharing the CALS standard data such as SGML(Standard Generalized Markup Language) and STEP(Standard for The Exchange of Product model data). Utilizing this technology, users can find and access distributed and heterogeneous data sources without knowing its actual location.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.4042-4061
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• 2022

Recently, various security threats such as data leakage and data forgery have been possible in the communication and storage of data shared in the cloud environment. This paper conducted a study on the CP-ABSC scheme to solve these security threats. In the existing CP-ABSC scheme, if the data is obtained by the unsigncryption of the data user incorrectly, the identity of the data owner who uploaded the ciphertext cannot be known. Also, when verifying the leaked secret key, the identity information of the data user who leaked the secret key cannot be known. In terms of efficiency, the number of attributes can affect the ciphertext. In addition, a large amount of computation is required for the user to unsigncrypt the ciphertext. In this paper, we propose ECP-ABSC that provides data user traceability, and use it in a cloud environment to provide an efficient and secure data sharing scheme. The proposed ECP-ABSC scheme can trace and verify the identity of the data owner who uploaded the ciphertext incorrectly and the data user who leaked the secret key for the first time. In addition, the ciphertext of a constant size is output and the efficiency of the user's unsigncryption computation were improved.

• 한국인공지능학회지
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• 제1권1호
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• pp.1-3
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• 2013

This study suggested ways to control UML diagram and to make design of database and to retrieve diagram information by giving questions. The study classified elements of the diagram. For instance, class diagram was made of classes, and class was done of class name and attribute operator. The elements were transformed to be database table having basic key and foreign key information. The ways suggested had advantages of users' sharing of model information and reuse of the model. This study investigated cost saving, time saving and UML model construction by database. We had designed integrated and relation database that could save and manage UML diagram, and suggested retrieval. For instance, we classified class diagram into elements to make tables and kept relation of each element by using not only basic key of relation database but also foreign key information. We made database of modeling depending upon methods to give users convenience.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3216-3230
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• 2015

A hot-issued research topic in the workflow intelligence arena is the emerging topic of "workflow-supported organizational social networks." These specialized social networks have been proposed to primarily represent the process-driven work-sharing and work-collaborating relationships among the workflow-performers fulfilling a series of workflow-related operations in a workflow-supported organization. We can discover those organizational social networks, and visualize its analysis results as organizational knowledge. In this paper, we are particularly interested in how to visualize the degrees of closeness centralities among workflow-performers by proposing a graphical representation schema based on the Graph Markup Language, which is named to ccWSSN-GraphML. Additionally, we expatiate on the functional expansion of the closeness centralization formulas so as for the visualization framework to handle a group of workflow procedures (or a workflow package) with organizational workflow-performers.

• Educational Technology International
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• 제10권1호
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• pp.25-40
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• 2009

The purpose of this study was to explore procedures and modalities on collaborative visualization processing of text information for developing e-Learning contents. In order to investigate, two research questions were explored: 1) what are procedures on collaborative visualization processing of text information, 2) what kinds of patterns and modalities can be found in each procedure of collaborative visualization of text information. This research method was employed a qualitative research approaches by means of grounded theory. As a result of this research, collaborative visualization processing of text information were emerged six steps: identifying text, analyzing text, exploring visual clues, creating visuals, discussing visuals, elaborating visuals, and creating visuals. Collaborative visualization processing of text information came out the characteristic of systemic and systematic system like spiral sequencing. Also, another result of this study, modalities in collaborative visualization processing of text information was divided two dimensions: individual processing by internal representation, social processing by external representation. This case study suggested that collaborative visualization strategy has full possibility of providing ideal methods for sharing cognitive system or thinking system as using human visual intelligence.

• 지능정보연구
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• 제14권1호
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• pp.85-100
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• 2008

디지털 경제사회는 지식 사회이기도 하다. 많은 조직들이 KMS(지식관리시스템)을 도입하였고 군도 예외가 아니다. 본 연구는 군이라는 특수한 상황에서의 KMS 활용의 활성화 방안을 도출하고자 그 영향 요인에 대해서 분석하였다. 이를 위해서 특히 공군의 KMS 실태를 조사하고 진단하여 문제점을 살펴보고 군 조직의 특성에 따른 해결방안을 모색해 보았다. 본 연구를 통해서 지식공유에 영향을 미치는 군 조직의 특성으로 군 조직 업무특성의 공식화, 조직문화상의 동료간의 신뢰, 지식공유에 대한 지휘부의 의지를 도출하였으며, 실증분석으로 지휘부가 지식공유에 대해 의지가 있다고 인식하는 사용자가 지식공유에 대한 인식도 높으며, KMS 활용도 많이 한다는 사실을 입증하였다. 이를 통해서 특히 군 조직에서는 지휘부가 솔선수범하여 지식공유에 참여하는 것이 가장 중요함을 입증하였다.

• 유통과학연구
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• 제17권10호
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• pp.93-105
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• 2019

Purpose - First, empirical research will reveal how personal creativity affects the knowledge sharing and innovation behaviors of organizational members. Second, self-management competency will be verified to explain the causal relationship between independent and dependent variables as a mediating variable and to reduce the time interval. Research design, data, and methodology - There are two major research models. First, personal creativity (professionalism, emotional intelligence, internal motivation) has a positive impact on knowledge sharing (creation of knowledge, organization of knowledge, use of knowledge) and innovation behavior (deriving ideas, implementing ideas, promoting ideas). Second, self-management competency (intellectual capacity, emotional capacity, personality capacity) plays a mediating role. In addition to descriptive statistics and correlation analysis, Cronbach's α was calculated for 259 workers in the retail industry. In addition, confirmatory factor analysis was performed using the AMOS 24.0 program, and the influence on the measurement model was analyzed to verify the structural equation model. Results - First, personal creativity had a positive effect on knowledge sharing and innovation behavior. In other words, it was confirmed that the decision-making process accompanied by individual creativity can create an atmosphere of knowledge sharing and continue to innovate. Second, personal creativity had a positive effect on self-management competency, and self-management competency had a positive effect on knowledge sharing and innovation behavior. Third, self-management competency was found to partially mediate the influence of personal creativity on knowledge sharing and innovation behavior. Conclusions - First, it is important for managers to recognize the value of creative talents who can be a fundamental source of organizational success and competitive advantage, and to attract talented people. Second, managers should be able to develop decision-making processes to develop potential creativity and encourage creative ideas, opinions, or solutions when organizing the work environment of their members. Third, managers should promote the sharing and integration of new knowledge that underlies the creative views and attitudes of teams and organizational members. Unlike previous studies, which emphasize the role of the work environment in which creative behaviors are promoted, this study shows that creativity of individual members, itself, is an important determinant of knowledge sharing and innovation behavior.

• 한국인터넷방송통신학회논문지
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• 제20권1호
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• pp.45-53
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• 2020

본 논문에서는 집단지성 기반 이미지 공유 마켓 플랫폼을 제안 개발한다. 제안된 이미지 공유 마켓 플랫폼의 특징 및 기여도는 다음과 같다. 첫째, 제안된 이미지 공유 플랫폼은 사용자들이 집단 지성적으로 가격을 결정하므로 기존의 플랫폼보다 매우 낮은 가격으로 이미지를 제공할 수 있다. 둘째, 제안된 이미지 공유 플랫폼은 효과적인 웹 접근성을 제공 하므로 다양한 계층의 사용자들 누구나 이미지들을 편리하게 접근하고, 자율적으로 평가할 수 있다. 성능평가 결과 제안된 이미지 공유 마켓 플랫폼은 효과적으로 이미지 공유 서비스를 제공할 수 있음을 보여준다.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.119-130
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• 2022

Crime is a common social problem that affects the quality of life. As the number of crimes increases, it is necessary to build a model to predict the number of crimes that may occur in a given period, identify the characteristics of a person who may commit a particular crime, and identify places where a particular crime may occur. Data privacy is the main challenge that organizations face when building this type of predictive models. Federated learning (FL) is a promising approach that overcomes data security and privacy challenges, as it enables organizations to build a machine learning model based on distributed datasets without sharing raw data or violating data privacy. In this paper, a federated long short- term memory (LSTM) model is proposed and compared with a traditional LSTM model. Proposed model is developed using TensorFlow Federated (TFF) and the Keras API to predict the number of crimes. The proposed model is applied on the Boston crime dataset. The proposed model's parameters are fine tuned to obtain minimum loss and maximum accuracy. The proposed federated LSTM model is compared with the traditional LSTM model and found that the federated LSTM model achieved lower loss, better accuracy, and higher training time than the traditional LSTM model.

• 한국군사과학기술학회지
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• 제27권3호
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• pp.319-328
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• 2024

Semi-supervised learning is a good way to train a classification model using a small number of labeled and large number of unlabeled data. We applied semi-supervised learning to a synthetic aperture radar(SAR) image classification model with a limited number of datasets that are difficult to create. To address the previous difficulties, semi-supervised learning uses a model trained with a small amount of labeled data to generate and learn pseudo labels. Besides, a lot of number of papers use a single fixed threshold to create pseudo labels. In this paper, we present a semi-supervised synthetic aperture radar(SAR) image classification method that applies different thresholds for each class instead of all classes sharing a fixed threshold to improve SAR classification performance with a small number of labeled datasets.