• Proceedings of the Korea Database Society Conference
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• 2000.11a
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• pp.47-52
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• 2000

전자상거래에 있어서 인증 서비스는 크게 신원인증, 내용인증(전자공증), 신용인증 등 세 가지로 나눌 수 있다. 전자상거래가 활성화됨에 따라 여러 인증기관에서 신용인증 서비스를 제공하고 있으나, 인증기관의 성격에 따라 인증 실무기준을 달리한다. 따라서 본 논문에서는 현재 신용인증 서비스를 제공하는 인증기관의 성격별로 각 신용인증 서비스를 비교 분석한 후, 신용인증 서비스의 종합적인 인증 실무기준 framework제시에 초점을 둔다.

• Korean Journal of Comparative Education
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• v.28 no.6
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• pp.111-130
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• 2018

In that all aspects of education can be compared from an international perspective, Comparative Education can share research subjects with most of the subdisciplinary study of Education. Especially Educational Finance and Economics, which is an important part of institutions and policies of education, has been one of the important areas in Comparative Education studies. In this regard, this paper summed up the relationship between Comparative Education and Educational Finance and Economics. Not only for the development of Educational Finance and Economics itself, but also in point of view of Comparative Education, it is as follows to discuss several tasks for Educational Finance and Economics to develop from now on. First, it is necessary to diversify the methods and approaches to Educational Finance and Economics. Comparative Educational studies or exploration on Educational Finance and Economics should require additional analysis from a variety of perspectives. Second, more efforts should be made to establish an independent theoretical framework for Educational Finance and Economics. Comparative Education may also be interested in international comparisons of these theoretical orientations or directions of Educational Finance and Economics. Third, we have to secure the identity of the Korean Educational Finance and Economics. Various comparative educational studies on Educational Finance and Economics of Education from an international perspective should be attempted on the basis of indigenous and independent Educational finance and Economics. Educational Finance and Economics are areas in which comparative educational analysis is needed more than any other study field of Education. We look forward to more active research on Educational Finance and Economics in the future from a comparative educational standpoint.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.5
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• pp.385-394
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• 2004

This paper proposes the generalized structure of a model-based disturbance rejection controller called a Robust Internal-loop Compensator (RIC). The framework consists of the RIC in the internal-loop to eliminate disturbances and a feedback controller in the external-loop to achieve nominal control performance. As the main contribution of this paper, we redefine the design problem of the RIC as a regulation control problem, then show that this new definition with the RIC structure provides more design flexibility and less implementation constraints. This is verified through a comparative structural analysis with Disturbance Observer (DOB) and Adaptive Robust Control (ARC). Two design examples of the RIC are given, along with practical issues that should be considered in the design procedure. The proposed framework is demonstrated by simulations of a rotary-type motor and experiments with a linear-type motor system.

• Journal of Appropriate Technology
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• v.6 no.1
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• pp.65-78
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• 2020

This paper deals with challenges of Mongolian government regarding Economic Development Plan (hereafter EDP). EDP has a long history, appearing first in the socialist countries, then in European countries following the European Reconstruction Plan after the Second World War, and then in many developing countries after they gained independence from the colonial rule. Major challenges of the Mongolian EDP are largely related to the absence or lack of integrated approach. We will propose a new integrated framework based on the approach suggested by UNDP. The new framework consists of 5 core areas; 1) institutions and governance, 2) evidence-based and empirically backed policy options, 3) development of budgeting and financial system, 4) and monitoring and evaluation (M&E), 5) capacity development. In order to identify challenges in Mongolia, the new integrated approach was applied to diagnose current states. To understand current states of EDP in Mongolia, survey regarding EDP in Mongolia was conducted for the 43 officials of Ministry of Finance. The same approach was applied for Five-Year Economic Development Plans in Korea to compare performances with EDP in Mongolia. On the basis of comparative analysis of EDPs in Mongolia and Korea, some lessons are suggested.

• Convergence Security Journal
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• v.22 no.4
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• pp.129-133
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• 2022

Deep learning frameworks are still evolving, and there are various frameworks. Typical deep learning frameworks include TensorFlow, PyTorch, and Keras. The Deepram framework utilizes optimization models in image classification through image learning. In this paper, we use the TensorFlow and PyTorch frameworks, which are most widely used in the deep learning image recognition field, to proceed with image learning, and compare and analyze the results derived in this process to know the optimized framework. was made.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1142-1166
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• 2020

Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.

• Asia pacific journal of information systems
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• v.31 no.3
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• pp.433-447
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• 2021

The purpose of this paper is to shed light on the current status of Industry 4.0 policies in India and provide holistic policy recommendations in the transition towards Industry 4.0. The study was conducted based on the content-centric review of written policy documents like policy memoranda (memos), green papers and white papers, policy briefs, policy reports, opinion pieces, and newspaper and academic publications on Industry 4.0. India lacks infrastructure, regulatory framework, architectural reference model, incentives, skills, and standard roadmap towards Industry 4.0. The current policy status and policy recommendations presented in this study can serve as a great asset for academicians, policymakers, and practitioners to prepare a holistic roadmap for Industry 4.0 policy implementation. The study is first to assess India's current policy status and compare with Germany towards Industry 4.0. Besides, it is expected to assist government policymakers in formulating tangible policy outputs and strategic roadmaps.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.263-283
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• 2024

Users' comments after online shopping are critical to product reputation and business improvement. These comments, sometimes known as e-commerce reviews, influence other customers' purchasing decisions. To confront large amounts of e-commerce reviews, automatic analysis based on machine learning and deep learning draws more and more attention. A core task therein is sentiment analysis. However, the e-commerce reviews exhibit the following characteristics: (1) inconsistency between comment content and the star rating; (2) a large number of unlabeled data, i.e., comments without a star rating, and (3) the data imbalance caused by the sparse negative comments. This paper employs Bidirectional Encoder Representation from Transformers (BERT), one of the best natural language processing models, as the base model. According to the above data characteristics, we propose the F_MixBERT framework, to more effectively use inconsistently low-quality and unlabeled data and resolve the problem of data imbalance. In the framework, the proposed MixBERT incorporates the MixMatch approach into BERT's high-dimensional vectors to train the unlabeled and low-quality data with generated pseudo labels. Meanwhile, data imbalance is resolved by Focal loss, which penalizes the contribution of large-scale data and easily-identifiable data to total loss. Comparative experiments demonstrate that the proposed framework outperforms BERT and MixBERT for sentiment analysis of e-commerce comments.

• IE interfaces
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• v.10 no.3
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• pp.75-93
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• 1997

Unlike individual applications, it is extremely hard to obtain user requirements for group systems, since there exists very complicated dynamics in group. This may result in spreading a great amount of products with a broad range of contents. Thus, this study presents a comparative analysis of groupware products. As a result, these products have been categorized into three areas which include cooperation/document management systems, collaborative writing systems, and decision-making/meeting systems. While the systems reviewed here focus on the cooperation/document management systems, the other two areas will be dealt in details in part Ⅱ. The first area ends up with two large categories such as proprietary groupware products and intranet groupware products. However, it has been observed that there is a natural convergence between these two categories. Consequently, the comparative analysis has been performed in terms of functions provided on the two categories and a combined category. Each group of the functions has been divided into three parts which consist of basic functions, quasi-basic functions, and others. Such a decision has been made based on the frequency rate of the functions provided in the products. With a more strict rule, the basic functions comprise electronic mail, sanction, bulletin board, document management, scheduling, security, Web browser, and Internet connectivity. This study also provides a framework for integrated functional model of groupware systems. The basic functions are merged into the model. However, the model is so flexible that it can partially include the quasi-functions in addition to the basic functions. In the future, it is expected that a large number of products will stem from the modification of the functional model.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.442-452
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• 2022

This study was conducted to understand research trends of HR Analytics (HRA) in Korea and to suggest future research directions. First, a comparative analysis was conducted by classifying six areas of recruitment on-board, work environment, performance evaluation, retention, and exit/retirement building on the employee life cycle framework. The results indicate that first, the distribution of detailed research topics in Korean HRA research has similar to that of international research. Second, Korean HRA studies related to employee training and development function are insufficient. Third, the scope and the method of machine learning are becoming enriched. Finally Korean HRA studies are still in the technical domain and toward entering the predictive analysis domain.