• Korean Journal of Remote Sensing
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• v.20 no.5
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• pp.307-313
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• 2004

The trajectories of 8 autonomous profiling floats deployed in the Kuroshio Extension region in February 2001 are used to depict the circulation pattern at the surface and 2000db. The corresponding sea surface topography maps created from satellite altimeter and dynamic height climatology were compared with the tracks of nearly coincident floats and were found to agree well in most cases except for the period June 5 to 16 2001. It is shown that over the period the conspicuous breakaway of the floats from an expected path is possibly associated with the abnormal path of the Kuroshio Extension such as an outbreak event, as revealed by AVHRR infrared and SeaWiFS chlorophyll-a images and cruise data in cross sections.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.60-70
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• 2006

National atlas map for provide various information is one part of National territorial Statatics Survey but National atlas map in 2004 year don't have stability and ability. National territorial Statatics Survey in 2005 years have octuple data compare with data in 2004 years but have only one map. One map is going to provide with stability and ability. We don't use DBMS, But We make a similarly struct in file based program. We programmed system of dynamic-linked data with spatial data. To dynamic-linked system, we make search engine to based index struct and make combobox search system. spatial data only have index codes(year, national terrial indicator, area). If spatial data request specfied data, search engine search index code and provide DB data. New system is middle step of using DBMS. We redraw map for display real Korea area (with dokdo). New map is shape and similar Korea map.

• Information Systems Review
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• v.10 no.3
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• pp.133-153
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• 2008

Understanding of the length of time required to realize the return on the investment of informatization is important for policy makers and decision makers of information system adoption. Previous researchers, however, assessed this issue with the performance measurement approach that was primarily based on static point of view. However, the static analysis on the outcome of the informatization investment is limited in measuring the priori and ex ante effects of the informatization implementation on temporal basis. This study present a methodology to capture the outcome of the informatization investment on dynamic basis. This assessment was performed based on an e-government project in Korea, called "Industry Human Resource Project." Particularly, the study addressed how long it takes to obtain the benefit of WorkNet System, which was part of this Korean e-government project. We proposed various approaches to illustrate the importance and temporal effect of the WorkNet System by analyzing DB data, time reduction of WorkNet business processes and return of investment of IT.

• The Journal of the Acoustical Society of Korea
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• v.18 no.3
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• pp.62-67
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• 1999

In this paper, we investigates a reliable model of the Predictive Recurrent Neural Network for the speech recognition. Predictive Neural Networks are modeled by syllable units. For the given input syllable, then a model which gives the minimum prediction error is taken as the recognition result. The Predictive Neural Network which has the structure of recurrent network was composed to give the dynamic feature of the speech pattern into the network. We have compared with the recognition ability of the Recurrent Network proposed by Elman and Jordan. ETRI's SAMDORI has been used for the speech DB. In order to find a reliable model of neural networks, the changes of two recognition rates were compared one another in conditions of: (1) changing prediction order and the number of hidden units: and (2) accumulating previous values with self-loop coefficient in its context. The result shows that the optimum prediction order, the number of hidden units, and self-loop coefficient have differently responded according to the structure of neural network used. However, in general, the Jordan's recurrent network shows relatively higher recognition rate than Elman's. The effects of recognition rate on the self-loop coefficient were variable according to the structures of neural network and their values.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1207-1214
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• 2002

This study has developed Web-based, Automated Lesson Planner System for teachers to make out and make use of lesson plans using ICT(Information ＆ Communication Technology). First, web-based lesson planner system has been developed to make teachers possible to make and use lesson plans on the web. Second, the database of electronic lesson planner system has been designed and established according to Korean curriculum and form of teaching-loaming lesson plan using ICT. Third, the system embodied making out a lesson plan easily and operating all ICT materials together. Last, the system was applied to the real elementary school fields and the efficiency and improvements were analyzed. This lesson planner system made database of all ICT materials and lesson plans, so that it can manage and control all lesson plans systematically. Also, the lesson plans and ICT materials are connected together, so the database can be a dynamic content storage. The construction of this system established maximization of share, use and storage of teaching-learning lesson plans. It will be popularize in real education fields and made a contribution to the school informatization.

• Convergence Security Journal
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• v.14 no.7
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• pp.53-58
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• 2014

MANET can quickly build a network because it is configured with only the mobile node and it is very popular today due to its various application range. However, MANET should solve vulnerable security problem that dynamic topology, limited resources of each nodes, and wireless communication by the frequent movement of nodes have. In this paper, we propose a domain-based distributed cooperative intrusion detection techniques that can perform accurate intrusion detection by reducing overhead. In the proposed intrusion detection techniques, the local detection and global detection is performed after network is divided into certain size. The local detection performs on all the nodes to detect abnormal behavior of the nodes and the global detection performs signature-based attack detection on gateway node. Signature DB managed by the gateway node accomplishes periodic update by configuring neighboring gateway node and honeynet and maintains the reliability of nodes in the domain by the trust management module. The excellent performance is confirmed through comparative experiments of a multi-layer cluster technique and proposed technique in order to confirm intrusion detection performance of the proposed technique.

• Smart Media Journal
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• v.12 no.5
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• pp.28-35
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• 2023

In this study, we propose a new light-weight model RoutingConvNet with fewer parameters to improve the applicability and practicality of speech emotion recognition. To reduce the number of learnable parameters, the proposed model connects bidirectional MFCCs on a channel-by-channel basis to learn long-term emotion dependence and extract contextual features. A light-weight deep CNN is constructed for low-level feature extraction, and self-attention is used to obtain information about channel and spatial signals in speech signals. In addition, we apply dynamic routing to improve the accuracy and construct a model that is robust to feature variations. The proposed model shows parameter reduction and accuracy improvement in the overall experiments of speech emotion datasets (EMO-DB, RAVDESS, and IEMOCAP), achieving 87.86%, 83.44%, and 66.06% accuracy respectively with about 156,000 parameters. In this study, we proposed a metric to calculate the trade-off between the number of parameters and accuracy for performance evaluation against light-weight.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.67-79
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• 2017

Increasing transportation dependence on the metro system has lead to the convenience of passengers becoming as important as the transportation capacity. In this study, a pedestrian simulator has been developed that can quantitatively assess the pedestrian environment in terms of attributes such as speed and distance. The simulator consists of modules designed for 3D indoor map authoring and algorithmic pedestrian modeling. Module functions for 3D indoor map authoring include 3D spatial modeling, network generation, and evaluation of obtained results. The pedestrian modeling algorithm executes functions such as conducting a path search, allocation of users, and evaluation of level of service (LOS). The primary objective behind developing the said functions is to apply and analyze various scenarios repeatedly, such as before and after the improvement of the pedestrian environment, and to integrate the spatial information database with the dynamic information database. Furthermore, to demonstrate the practical applicability of the proposed simulator in the future, a test-bed was constructed for a currently operational metro station and the quantitative index of the proposed improvement effect was calculated by analyzing the walking speed of pedestrians before and after the improvement of the passage. The possibility of database extension for further analysis has also been discussed in this study.

• The Journal of the Korean Institute of Forest Recreation
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• v.22 no.4
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• pp.1-9
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• 2018

This study aimed to improve the quality of forest healing program through analyses of the program activities given at National Healing Forest and surveys conducted by Korea Forest Service. 99 DB data of the healing forest that were surveyed by KFS (August 2015~April 2016) were collected in order to affirm the activities. We analysed DB based on the format of the survey by target, 6 healing factors, location, season, time periods, operation hours and multifaceted evaluation. The results showed that the activities in the forest healing program targeted general public and the factor that was considered the most was psychotherapy factor. Healing forest trails were used as a location, spring, summer and fall as season, morning and afternoon as time period for the majority of the activities. The running time was 60 minutes. The multifaceted evaluation revealed that dynamic activities were preferred the most in development of programs. According to the results of the forest healing programs, it seems to be critical to enhance forest healing instructors' diversified professionalism. However, this will only be achievable once further investigations regarding forest healing effects by types of illnesses are conducted and provide solid foundation for such professionalism.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.1038-1045
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• 2017

The increase in frequency and scale of natural disasters is the typical negative examples of the global climate change and the change of the human living environment. The damage caused by natural disasters in particular including human and physical damage is directly linked to the safety and properties of citizens. Besides, damage occurs directly or indirectly to the SOC facility, and the damaged SOC facility violates the citizens' safety rights. Therefore, a plan to provide prompt and effective risk map information by linking a 3D disaster information display system, which handles the information of the damage that may occur to SOC facilities at the time of disasters, with an on-site assistance application is suggested in this study. The prompt provision of risk map information is defined as a dynamic expression technology in this study. It also processes and compresses the system to display disaster information, a spreading system that can utilize on-site information, and a module developed to organically link with the DB system that builds information and relationships. Based on the module, the effective disaster information compression plan will be prepared, and the prompt information transmission system will be secured.