• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.247-249
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• 2013

Even though Relational Databases have been widely used in many enterprises, the relations among entities are not managed effectively and efficiently. In order to analyze Big Data, it is absolutely needed to express various relations among entities in a graphical form. In this paper, we define Graph Databases and its structure. And then, we check out their characteristics such as transaction, consistency, availability, retrieval function, and expandability. Also, we appropriate or inappropriate subjects for application of Graph Databases.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.230-232
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• 2013

For Many enterprises are creating and handling huge amount of data in their business administration. However, it would be impossible for general databases such as Relational Databases, hierarchical databases, and network databases to manage and analyze this large amount of document data efficiently and effectively. So, in this paper, we define document databases and check out their characteristics such as consistency and transaction. And we propose appropriate or inappropriate subjects for application of document databases.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.537-538
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• 2016

Recently, modern people a lot of frequency of work and seat life by academic is increased, addictive spine for the wrong attitude and the wrong habits are many pelvic disease occurrence. Therefore, in order to induce continuous correct posture to prevent this, the system that can be induced to determine the posture information based on the seating information is requested. In this paper, when the development and inappropriate attitude of the device that is capable of tracking measurement in order to evaluate the attitude stability is detected, let your users know, to correct their attitude through the real-time monitoring It was implemented of categorize to help application.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.354-357
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• 2021

Infants communicate their feelings and needs to the outside world through non-verbal methods such as crying and displaying diverse facial expressions. However, inexperienced parents tend to decode these non-verbal messages incorrectly and take inappropriate actions, which might affect the bonding they build with their babies and the cognitive development of the newborns. In this paper, we propose an aural-visual two-stream based infant cry recognition system to help parents comprehend the feelings and needs of crying babies. The proposed system first extracts the features from the pre-processed audio and video data by using the VGGish model and 3D-CNN model respectively, fuses the extracted features using a fully connected layer, and finally applies a SoftMax function to classify the fused features and recognize the corresponding type of cry. The experimental results show that the proposed system classification exceeds 0.92 in F1-score, which is 0.08 and 0.10 higher than the single-stream aural model and single-stream visual model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.91-105
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• 2018

The purpose of this study is to examine an immoral effectiveness decrease by information access monitoring between ethical dilemma and unethical information-sharing behavior. Firms are raising the demand of confidential information management and are highlighting the ethical awareness of organizational members. The individuals in organization are concerned information sharing for future-oriented social networking. To prevent their immoral behavior, Firms should consider investing the information access monitoring. This system is aiming at log verification of movement, storage and deletion on information and will reduce an ethical conflict and unethical behavior on employees. I used the structural equation methodology for this empirical study. The research model constructs the voluntary and involuntary dilemma of information sharing on the two independent-variables, the unethical information behavior and the improper networking reinforcement on the two dependent-variables and the information access monitoring the one mediating-variables. This model tests the power effect of direct path, indirect path and total path. According to the study, the two ethical dilemma of information sharing provided a high influence to the unethical sharing action and to the inappropriate social networking strengthens. However, the mediating role of information access monitoring shows the effect weakens of independent and dependent variables. Thus, the mediating variables appeared to be important for the controlling role of an unethical behavior and improper social networking. Ultimately, The firms will need to invest the information access monitoring for a compulsory ethics behavior of organizational members. In addition, this can hinder networking enhancements for future opportunistic behaviors.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3855-3865
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• 2000

The automatic indexing is a compulsory part for the text retrieval system. However it is impossible to rank the appropriate texts at top. Furthermore, it is more difficult to prevent to rank the inappropriate texts having homonyms at top by only the automatic indexing. In this paper, we proposed the two-level retrieval system to enhance the retrieval efficiency, in which Automatic Keyword Network (AKN) is used at the second-level process. The firsHevel search is carried out with an inverted index file generated by the automatic indexing. On the other hand the second-level search exploits AKN based on the degree of asslxiation between terms. We have developed several formulas for rearranging the rank of texts at second-level search, and evaluated the performance of the effects of them on resolving the word sense ambiguities.

• Tunnel and Underground Space
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• v.5 no.4
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• pp.336-346
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• 1995

Geotechnical Information System (GTIS) for efficient management of three dimensional borehole data has been developed. Some problems were raised during the input process of borehole data, and alternative solutions were sought. According to the previous geotechnical reports, there is no unified weathering classification scheme. A criterion, 100 times/30cm from SPT, was turned out inappropriate to the discrimination of weathered rock from weathered soil. It has also been suggested that weathered soil, weathered rock, soft rock, and hard rock should be defined as CW, HW, MW, and SW~fresh condition. For better comparison of RQD, the use of NX size coring is recommended for the whole area although BX size coring has been used in excavated area. The limit of drilling depth up to 1 m from the top of surface of hard rock should be extended to avoid possible wrong interpretation of rock head due to the existence of corestone. The input data were analysed by geostatistical methods. It is found that the range in semivariogram is about 300m, and the variance of gneiss is greater than that of granite. It is because the granite data analysed came from almost single uniform rock mass(i.e.Seoul granite), but gneiss data came from the rock mass(i.e. Gyeonggi gneiss complex experienced several metamorphic metamorphic processes.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.7-12
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• 2005

This paper deals with the fuzzy modeling for the complex and uncertain nonlinear systems, in which conventional and mathematical models may fail to give satisfactory results. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper. The expert system which introduces fuzzy logic in order to process uncertainties is called fuzzy expert system. The fuzzy expert system, however, has a potential problem which may lead to inappropriate results due to the ignorance of some information by applying fuzzy logic in reasoning process in addition to the knowledge acquisition problem. In order to overcome these problems, We construct fuzzy inference network by extending the concept of reasoning network in this paper. In the fuzzy inference network, the propositions which form fuzzy rules are represented by nodes. And these nodes have the truth values representing the belief values of each proposition. The logical operators between propositions of rules are represented by links. And the traditional propagation rule is modified.

• Journal of Information Management
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• v.42 no.3
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• pp.95-116
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• 2011

The purpose of this research is to examine the characteristics and problems of the OASIS, an web archive, developed and operated by the National Library of Korea. An analysis of 55 websites collected in seven subject areas, including 'Philosophy', 'Religion', 'Literature', 'Social Sciences-Politics', and 'Technology-Technology' in the OASIS website shows the following problems: lack of balance in subject distribution, lack of authority or scholarly value of some contents, unclear application of selection criteria for personal creators/publishers, ambiguous definition of 'archiving', and inappropriate counting of collection and usage statistics. Some comprehensive and systematic efforts to improve the OASIS contents seem to be urgently needed.

• The Journal of Information Systems
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• v.15 no.1
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• pp.73-96
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• 2006

Recently, ERP system is used as a important tool of management innovation for enterprise's survival and development. It is very important to recognize how much influence to organizational performance through ERP system implementation. The purpose of this study is to find out the impact of environmental, organizational, information systems characteristics on successful implementation of ERP systems in Korean SMEs(Small and Medium Enterprises). From previous researches on ERP adoption and implementation, 7 independent variables (competitiveness, government support, top management support, process innovation, project management, IS maturity, and ERP customizing), and 1 dependent variables (successful implementation of ERP systems) are identified. 3 questionnaires were removed from the study because of missing or inappropriate responses, and final samples are 91 SMEs. The results of hypothesis testing show that determinants of successful implementation of ERP systems are top management support and IS maturity. Five variables such as competitiveness, government support, process innovation, project management, and ERP customizing do not significantly influence to successful implementation of ERP systems. The contribution of this study is that it provides an empirical evidence of the causal relationship between ERP adoption factor and ERP success. This study showed that top management support and IS maturity are essential to accomplish successful ERP implementation for SMEs.