• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.139-141
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• 2002

무선망에서 데이터를 전송 받기 위해서 이동단말은 자신의 정확한 위치를 망에 등록하여야 한다. 페이징 기술은 이동단말의 위치등록을 자주하지 않도록 함으로써 단말의 전력 소모를 줄일 수 있도록 해 준다. 망은 이동단말의 개략적인 위치를 관리하고 실제 전달할 데이터가 있는 경우에 페이징을 이용하여 정확한 위치를 찾게 된다. 최근 이러한 개념을 IP를 사용하는 망에서 사용하고자 하는 IP 페이징 기술들이 소개되고 있다. 본 논문에서는 IP 페이징의 개념 및 관련 연구를 소개하고, 효율적인 페이징 관리를 위한 동적 페이징 영역 설정 기법을 제시한다.

• Journal of the Korean Society of Industry Convergence
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• v.3 no.4
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• pp.299-306
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• 2000

이 논문은 파이프라인 함성을 위한 상위수준 데이터 경로 하성과 콘트롤 합성의 통합에 관한 연구이다. 현재 대부분의 상위수준 합성 방법은 콘트롤 영역의 영향을 무시하는데 보다 나은 설계를 위하여 데이터 경로디자인 영역과 콘트롤 디자인 영역을 통합하여 탐색하는 파이프라인 상위수준함성 도구를 구현했다. 이 도구는 비용 제한 하에서 최고 성능의 파이프라인을 합성하는 비용재한합성과 성능 제한 하에서 최서 비용의 파이프라인을 합성하는 성능 제한합성의 두 가지 방식을 제공한다.

• Korean Journal of Remote Sensing
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• v.39 no.2
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• pp.143-156
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• 2023

To precisely and reliably analyze the contents of the satellite imagery, recognizing the clouds which are the obstacle to gathering the useful information is essential. In recent times, deep learning yielded satisfactory results in various tasks, so many studies using deep neural networks have been conducted to improve the performance of cloud detection. However, existing methods for cloud detection have the limitation on increasing the performance due to the adopting the network models for semantic image segmentation without modification. To tackle this problem, we introduced the multi-branch neural architecture search to find optimal network structure for cloud detection. Additionally, the proposed method adopts the soft intersection over union (IoU) as loss function to mitigate the disagreement between the loss function and the evaluation metric and uses the various data augmentation methods. The experiments are conducted using the cloud detection dataset acquired by Arirang-3/3A satellite imagery. The experimental results showed that the proposed network which are searched network architecture using cloud dataset is 4% higher than the existing network model which are searched network structure using urban street scenes with regard to the IoU. Also, the experimental results showed that the soft IoU exhibits the best performance on cloud detection among the various loss functions. When comparing the proposed method with the state-of-the-art (SOTA) models in the field of semantic segmentation, the proposed method showed better performance than the SOTA models with regard to the mean IoU and overall accuracy.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.49-51
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• 2006

센서태그(Sensor Tag)는 기존의 RFID 태그의 특징을 그대로 유지하면서 사물의 온도 습도와 같은 정보를 추가로 획득하여 냉장 제품 등의 관리에 유용하게 사용 할 수 있는 태그이다. 이러한 센서태그에 의해 획득된 정보, 즉 센싱 데이터는 리더의 인식 영역 안에서만 획득할 수 있으며 센싱 데이터가 변화할 때마다 보고하거나 또는 주기적으로 보고를 하는 특징이 있다. 기존의 RFID 환경에서는 센싱 데이터를 단순히 속성 정보로 관리하므로 영역질의 등 센서태그 객체에 대한 질의를 처리하기 위해서 많은 연산이 필요하며 복합 질의 시 시스템 성능이 급격하게 저하된다. 본 논문에서는 센서태그 객체의 특성을 고려한 통합 데이터 모델을 제시하고 질의를 효율적으로 처리하기 위한 색인 기법을 제안한다. 그리고 동일 리더 인식영역 내의 센싱 데이터가 특정 값으로 집중되는 특성을 고려하여 데이터 삽입 시 강제 합병 기법을 이용하여 노드의 중첩으로 인해 검색 성능을 떨어뜨리는 문제를 해결한다.

• Journal of IKEEE
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• v.20 no.1
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• pp.111-114
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• 2016

In HEVC, motion estimation is performed independently for each variable block size. So it requires several times of search window data, and also it is difficult to exploit early termination. In this paper, a new method is proposed to exploit search window data and early termination in variable block size. When applied to TZS algorithm, it reduces pixel comparison and search window data accesses to 1/3.7 ~ 1/2.9 with negligible image quality degradation.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.153-177
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• 2020

In the context of open science, data sharing and reuse are becoming important researchers' activities. Among the discussions about data sharing and reuse, data journals and data papers shows visible results. Data journals are published in many academic fields, and the number of papers is increasing. Unlike the data itself, data papers contain activities that cite and receive citations, thus creating their own intellectual structures. This study analyzed 14 data journals indexed by Web of Science, 6,086 data papers and 84,908 cited references to examine the intellectual structure of data journals and data papers in academic community. Along with the author's details, the co-citation analysis and bibliographic coupling analysis were visualized in network to identify the detailed subject areas. The results of the analysis show that the frequent authors, affiliated institutions, and countries are different from that of traditional journal papers. These results can be interpreted as mainly because the authors who can easily produce data publish data papers. In both co-citation and bibliographic analysis, analytical tools, databases, and genome composition were the main subtopic areas. The co-citation analysis resulted in nine clusters, with specific subject areas being water quality and climate. The bibliographic analysis consisted of a total of 27 components, and detailed subject areas such as ocean and atmosphere were identified in addition to water quality and climate. Notably, the subject areas of the social sciences have also emerged.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.366-369
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• 2014

Recently been viewed as a core technology of the IT industry, cloud computing services. It is expected that the market for cloud services industry showed a growth rate of 18.9% annually, to form a scale of $ 1,330 billion dollars in 2013, and to form a 1,768 billion dollars in 2015. Growth of cloud computing services industry, provides the operational efficiency and reduce costs for many companies, but the risks associated with it is also increasing. There is a problem that phenomenon is to lose control of the data on features of the cloud service, more data is gathered in one place, when a failure occurs, it is removed simultaneously the data of all devices. therefore, in the present paper is investigate the area a quick recovery with up to the problem and secure data storage INT the cloud computing service is available in only the data in the cloud service possible.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.511-522
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• 2020

The purpose of this thesis is to derive a strategy to establish an ecosystem for promoting health my data projects in the public domain. To this end, first, the types of my data business were classified by business domain, subject, purpose, and method, and based on this, my data business being promoted in Korea and abroad was analyzed by type. After that, based on the analysis results, scenarios for my data projects that public domain can promote and the roles and major issues of each subject were identified, and the strategic direction for each subject of the ecosystem was presented. Such an attempt is of primary significance in revealing the role that the health MyData project can take the lead in the public domain to settle in Korea targeting sensitive information. Through this, it is expected that it will be a cornerstone of discussion to identify issues that are expected to establish an ecosystem in Korea, and to present a direction in which the my data business can be promoted in the right direction in the future.

• Phonetics and Speech Sciences
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• v.12 no.4
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• pp.81-90
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• 2020

This paper describes a method of building Korean conversational speech data in the emergency medical domain and proposes an annotation method for the collected data in order to improve speech recognition performance. To suggest future research directions, baseline speech recognition experiments were conducted by using partial data that were collected and annotated. All voices were recorded at 16-bit resolution at 16 kHz sampling rate. A total of 166 conversations were collected, amounting to 8 hours and 35 minutes. Various information was manually transcribed such as orthography, pronunciation, dialect, noise, and medical information using Praat. Baseline speech recognition experiments were used to depict problems related to speech recognition in the emergency medical domain. The Korean conversational speech data presented in this paper are first-stage data in the emergency medical domain and are expected to be used as training data for developing conversational systems for emergency medical applications.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.394-396
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• 2007

본 논문은 레이더를 통해 입력받은 데이터를 분석하여 같은 물체에 관한 데이터를 구분하는 방법을 제시한다. 큰 영역을 감시하는 레이더에 비해 영역이 좁을 때 레이더는 한 물체에 대해서 물체 형태에 따라 데이터가 들어오게 된다. 이 데이터들은 같은 물체인지 아닌지 구분이 없어서 응용된 알고리즘을 적용하기 힘들다. 따라서 응용된 알고리즘을 적용하기 전 하나의 물체에 대한 데이터의 그룹핑 작업이 필요하다. 본 논문에서 그룹핑 방법을 제시하며 실제 도로에서 취득한 데이터를 가지고 시뮬레이션을 하였다.