• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.571-579
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• 1997

There are some transmission types on the reverse link of wideband DS-CDMA cellular system. The configurations of logical channels on the reverse link may be different dependent upon the transmission methods of reverse pilot or control signaling. In this paper, we present three transmission types on the wideband DS-CDMA reverse link; no-pilot system, pilot-channel aided system and pilot-symbol aided system. And we compare the performance of three systems in terms of capacity and cell coverage. The pilot-symbol aided system is shown to have the better performance than the pilot-channel aided system in both capacity and cell coverage.

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.41-50
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• 2021

As COVID-19 spread widely, and rapidly, the number of misinformation is also increasing, which WHO has referred to this phenomenon as "Infodemic". The purpose of this research is to develop detection and rectification of COVID-19 misinformation based on Open-domain QA system and text similarity. 9 testing conditions were used in this model. For open-domain QA system, 6 conditions were applied using three different types of dataset types, scientific, social media, and news, both datasets, and two different methods of choosing the answer, choosing the top answer generated from the QA system and voting from the top three answers generated from QA system. The other 3 conditions were the Closed-Domain QA system with different dataset types. The best results from the testing model were 76% using all datasets with voting from the top 3 answers outperforming by 16% from the closed-domain model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1601-1607
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• 2009

Vision system is an object recognition system analyzing image information captured through camera. Vision system can be applied to various fields, and automobile types recognition is one of them. There have been many research about algorithm of automobile types recognition. But have complex calculation processing. so they need long processing time. In this paper, we designed vision box based on embedded system. and suggested automobile types recognition system using the vision box. As a result of pretesting, this system achieves 100% rate of recognition at the optimal condition. But when condition is changed by lighting and angle, recognition is available but pattern score is lowered. Also, it is observed that the proposed system satisfy the criteria of processing time and recognition rate in industrial field.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1067-1070
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• 2009

It is important to control environment information such as temperature in distribution & logistics systems. To manage temperature and environment information in realtime, SCCM(Smart Cold Chain Management) system must manage and integrate tags and various types sensor information. But, it needs standard code system to manage and integrate various types tags and sonsors. In this paper, we propose standard code system to apply the SCCM system.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.55-60
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• 2020

Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2693-2706
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• 1999

Reengineering to object-oriented system is needed to maintain the system and satisfy requirements of structure change. Target systems which should be reengineered to object-oriented system are difficult to change because these systems have no design document or their design document is inconsistent of source code. Using design document to identifying objects for these systems is improper. There are several researches which identify objects through procedural source code analysis. In this paper, we propose automatic object identification method based on clustering of VTFG(Variable-Type-Function Graph) which represents relations among variables, types, and functions. VTFG includes relations among variables, types, and functions that may be basis of objects, and weights of these relations. By clustering related variables, types, and functions using their weights, our method overcomes limit of existing researches which identify too big objects or objects excluding many functions. The method proposed in this paper minimizes user's interaction through automatic object identification and make it easy to reenginner procedural system to object-oriented system.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.168-173
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• 2007

Recent web environment needs a web service method that can integrate the individual web service. The UDDI registry can accommodate this need by classifying the information of the web service system for an easy retrieval of the information, thus it reduces the time to find a specific web service. Using the basic information search function of the UDDI registry, the web provider can offer various types of information to the client. In this paper, we implemented the process of registering the information to the UDDI registry and retrieving the various types of information from the UDDI registry in a given format.

• Journal of the Society of Disaster Information
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• v.6 no.2
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• pp.107-117
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• 2010

The disaster preparedness system in Korea has been developed in spite of many obstacles, but there are still many problems especially on actual preparedness including disaster drill and disaster medical system. Disaster drills performed by wide regional emergency medical centers for one years were analyzed based on the disaster drill report and additional compensation of incomplete data by direct contact with the participating institutions. On the disaster medical drills in Korea, it is necessary to emphasize drills on various types of disaster, active participation of medical personnels, drills combined with various types of related institutions, process of disaster medical aspect.

• Journal of the Korean Home Economics Association
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• v.43 no.1 s.203
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• pp.105-113
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• 2005

The purpose of this study was to suggest a standard sizing system for college female students' head wears according to their head types. The subjects were 193 college women, of 20 to 25 years-old. The subjects were directly measured anthropometrically and indirectly analyzed photographically. In previous tudy (Lim, 2004), 3 clusters as their head types were categorized. the sizing system, which had frequencies more than $4\%$ was classified 6 cases, 7 cases and 9 cases, respectively, by head 3 types. 3 types of size system, which were 56-28-38, 56-30-38 and 57-28-38(Eds note: which of the measurements are head girth, surface length 1 and surface length 2), which were included in 3 clusters. Although head girths were as the same, head surface length was different in size. On the contrary, head surface length was same, head girth was different. The result will contribute to fitness of head wear fitness of consumer, and the amount of production.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.55-61
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• 2005

We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.