• Journal of Korean Tunnelling and Underground Space Association
• /
• v.21 no.3
• /
• pp.419-432
• /
• 2019

Most of deep learning model training was proceeded by supervised learning, which is to train labeling data composed by inputs and corresponding outputs. Labeling data was directly generated manually, so labeling accuracy of data is relatively high. However, it requires heavy efforts in securing data because of cost and time. Additionally, the main goal of supervised learning is to improve detection performance for 'True Positive' data but not to reduce occurrence of 'False Positive' data. In this paper, the occurrence of unpredictable 'False Positive' appears by trained modes with labeling data and 'True Positive' data in monitoring of deep learning-based CCTV accident detection system, which is under operation at a tunnel monitoring center. Those types of 'False Positive' to 'fire' or 'person' objects were frequently taking place for lights of working vehicle, reflecting sunlight at tunnel entrance, long black feature which occurs to the part of lane or car, etc. To solve this problem, a deep learning model was developed by simultaneously training the 'False Positive' data generated in the field and the labeling data. As a result, in comparison with the model that was trained only by the existing labeling data, the re-inference performance with respect to the labeling data was improved. In addition, re-inference of the 'False Positive' data shows that the number of 'False Positive' for the persons were more reduced in case of training model including many 'False Positive' data. By training of the 'False Positive' data, the capability of field application of the deep learning model was improved automatically.

• Journal of KIISE:Computer Systems and Theory
• /
• v.37 no.1
• /
• pp.55-59
• /
• 2010

Most applications for solar-powered wireless sensor networks are usually deployed in remote areas without a continuous connection to the external networks and a regular maintenance by an administrator. In this case, sensory data has to be stored in the network as much as possible until it is uploaded by the data mule. For this purpose, a balanced data distribution over the network should be performed, and this can be achieved efficiently by taking the amount of available energy and storage into account, in the system layer of each node. In this paper, we introduce a simple but very efficient data distribution algorithm, by which each solar-powered node utilizes the harvested energy and the storage space maximally. This scheme running on each node determines the amount of energy which can be used for a data distribution as well as the amount of data which should be transferred to each neighbor, by using the local information of energy and storage status.

• Journal of KIISE:Computing Practices and Letters
• /
• v.5 no.3
• /
• pp.360-365
• /
• 1999

TMN에 기초한 망 관리 시스템은 관리자/관리대행자 패러다임으로 역할이 분류되며 관리자는 관리대행자를 통해 관리 객체의 집합체인 관리정보베이스(MIB)에 접근할수 있다. CMIP 질의는 관리 정보 트리 상에서 관리 행위가 이루어질 관리객체를 선별하기 위하여 Scope 와 Filter를 이용한다. 본 논문에서는 관계형 데이터베이스를 이용하여 관리 정보베이스를 구축시 이러한 질의를 한번의 데이터 베이스 스캔으로 처리할 수 있도록 관리 객체의 " Distinguished Name"을 이용하여 MIT를 형성하고 SQL의 LIKE 연산자를 이용하여 Scope를 만족하는 노드를 찾는 방안을 제시한다. 이러한 방법은 부모자식 관계를 이용하여MIT를 표현하고자 결합 연산에 의해 Scope를 처리하는 일반적인 방법에비하여 성능이 우수함을 보였다. 관리자와 관리 대행자간의 교신을 위하여 IODE 8.0 CMIP프로토콜 스택을 이용하였고 ASN.1인코딩을 위하여 Pepsy컴파일러를 사용하였다.일러를 사용하였다.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
• /
• v.35 no.3
• /
• pp.223-231
• /
• 2022

Spectroscopies are the most widely used for understanding the crystallographic, chemical, and physical aspects of materials; therefore, numerous commercial and non-commercial software have been introduced to help researchers better handling their spectroscopic data. However, not many researchers, especially early-stage ones, have a proper background knowledge on the choice of fitting functions and a technique for actual fitting, although the essence of such data analysis is peak fitting. In this regard, we present a practical guide for peak fitting for data analysis. We start with a basic-level theoretical background why and how a certain protocol for peak fitting works, followed by a step-by-step visualized demonstration how an actual fitting is performed. We expect that this contribution is sure to help many active researchers in the discipline of materials science better handle their spectroscopic data.

• The Journal of the Korea Contents Association
• /
• v.21 no.9
• /
• pp.42-50
• /
• 2021

As the Internet environment develops, data-analysis-based applications have been widely and extensively used in the past decade. However, these applications potentially have a privacy problem in that users' personal information may be leaked to unauthorized parties. To tackle such a problem, researchers have suggested several techniques including data perturbation and cryptography. The homomorphic encryption algorithm is a relatively new cryptography technology that allows arithmetic operations for encrypted values as it is without decryption. Since original values are not required, we believe that this method provides better privacy protection than other existing solutions. In this work, we propose to apply a homomorphic encryption algorithm that protects personal information while enabling data analysis.

• Journal of the Korean Society of Earth Science Education
• /
• v.16 no.2
• /
• pp.261-275
• /
• 2023

The purpose of this study was to analyze the conceptual understanding of carbon neutrality among secondary school science pre-service teachers, as well as to identify gaze patterns in visual materials. For this study, gaze tracking data of 20 pre-service secondary school science teachers were analyzed. Through this, the levels of conceptual understanding of carbon neutrality were categorized for the participants, and differences in gaze patterns were analyzed based on the degree of conceptual understanding of carbon neutrality. The research findings are as follows. First, as a result of performing modeling activities to predict carbon emissions and removals until 2100 using the concept of '2050 carbon neutrality,' 50% of the participants held a conception that carbon emissions would continue to increase. Additionally, 25% of the participants did not properly understand the causal relationship between net carbon dioxide emissions and cumulative concentrations. Second, the gaze movements of the participants regarding visual materials related to carbon neutrality were significantly influenced by the information presented in the text area, and in the case of graphs, the focus was mainly on the data area. Moreover, when visual data with the same function and category were arranged, participants showed the most interest in materials explaining concepts or visual data placed on the left side. This implies a preference for specific positions or orders. Participants with lower levels of conceptual understanding and inadequate grasp of causal relationships among elements exhibited notably reduced concentration and overall gaze flow. These findings suggest that conceptual understanding of carbon neutrality including climate change and natural disaster significantly influences interest in and engagement with visual materials.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.1-10
• /
• 2020

National R & D data covers information in all fields from basic science research to industrialization, but it is expressed in technical terms, which make it difficult for the public to use. Accordingly, NTIS developed and launched the data curation service 'R&D issue service', which selects national R&D information on national and social issues and provides them to the public. Therefore, this study aims to analyze the effect of a data curation service on NTIS users' access to R&D data and suggest how to develop the curation service. The R&D issue service extracts issue from the news article and provide related national R&D projects, achievements and major research institute. All raw data used for the service are open to the public, organized in a report format and provided as PDF files. In addition, automative process is developed for all NTIS users to make individual issue packaging like administrator. The results show that 'R&D issue service' launching increases users' access and convenience to R&D data related to major issues, and the number of page views of users increased after the service was opened.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.465-467
• /
• 2020

최근 정보 기술의 발전으로 클라우드 컴퓨팅은 개개인에게 편의성을 제공하도록 기능하지만, 실생활에서 디지털 정보의 의존성을 높이게 되었다. 클라우드 컴퓨팅은 실시간으로 다양한 정보를 교환함으로써 다양한 어플리케이션 서비스를 제공한다. 특히, 사용자가 가지고 있는 정보들을 로컬 서버에 관리하기 어려운 문제를 해결하기 위해 아웃소싱 클라우드 스토리지 서비스를 이용하여 해결할 수 있다. 그러나, 사용자의 데이터를 외부 클라우드 서버에 업로드하여 저장하게 되면, 클라우드 서비스 제공자로 인한 프라이버시 문제가 발생할 수 있다. 최근, 클라우드 서버에서 발생할 수 있는 프라이버시 문제를 해결하기 위해서 사용자의 데이터를 암호화하여 클라우드 서비스 제공자로부터 사용자의 정보를 보호하는 연구가 진행되고 있다. 하지만 이 연구는 시간이 지남에 따라 암호화가 복호화될 수 있으며, 특히 클라우드 서버에서 Offline Bruteforce 공격이 발생할 수 있다. 본 논문에서는 클라우드 환경에서 사용자의 개인정보를 보호하기 위한 기존 연구의 한계점을 분석한다. 기존 연구 분석을 통해 개인정보 보호를 위한 요구사항을 도출하고, 이를 기반으로 안전한 분산 데이터 관리 기법에 대해 고찰한다.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.8
• /
• pp.878-882
• /
• 2010

DaaS model that surrogates their data has a problem of privacy leakage by service provider. In this paper, we analyze inference attack that can occur on encrypted data that consist of multiple column through index, and we suggest b-anonymity to protect data against inference attack. We use R+-tree technique to minimize false-positive that can happen when we use an index for efficiency of data processing.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2018.05a
• /
• pp.89-91
• /
• 2018

연안에서 12해리 밖의 배타적 경제수역을 포함하는 공해에서의 해저지명은 기구나 국가에서 지명 심의 제안을 IHO 산하 해저지명소위원회(SCUFN)에 요청하여 채택이 되면 정식 국제해저지명으로 인정받게 되고 해도 및 각종 지명자료에도 활용된다. 해저지명은 종종 영유권 주장의 근거로 활용되기 때문에 공해를 탐사하고 해저지명을 제안하여 채택하는 것은 국가적 차원에서도 중요한 일이다. 국가간 갈등 및 지역간 갈등을 유발할 수 있는 지명에 대한 제안 양식이 존재하지만, 제안자의 자유 기입 측면이 강해서 지명의 제안과 승인 및 적용을 위한 데이터베이스 관리의 어려움이 존재한다. 또한 지명 제안의 근거가 되는 각종 과학적 자료의 보존과 활용에도 제약이 크다. 본 연구에서는 해저지명에 대한 표준 마련의 일환으로 현재의 해저지명 관리 현황을 분석하고 S-100 기반의 해저지명 데이터 모델을 구축하였으며 그 결과 지명 분류를 고려한 데이터 모델의 초안을 완성하였다.