• 제목/요약/키워드: Collection Analysis

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수집과 빈도분석을 통한 스팸메일 차단 방법 (A spam mail blocking method using collection and frequency analysis)

  • 백기영;김승해;최장원;류재철
    • 정보처리학회논문지C
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    • 제12C권1호
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    • pp.137-146
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    • 2005
  • 인터넷을 이용한 이메일은 이제 소수의 통신 수단이 아닌 일반인이 널리 사용하는 기본적인 통신 수단으로 자리잡고 있으며, 이에 따른 스팸메일의 피해 규모도 날로 커지고 있다. 현재 다양한 방법의 스팸메일 차단 방법이 제안되고 수행되고 있으나 다양해지는 스팸메일에 대응하기에는 역부족이다. 이 논문에서 제시한 스팸메일 차단 방은은 수집, 빈도분석과 차단의 3단계로 구성되며, 수집되는 스팸메일을 이용하여 다양한 스팸메일에 대응할 수 있으며, 변화하는 스팸메일의 형태에 대해서도 대응할 수 있는 구조를 가지고 있다.

A Strategy Study on Sensitive Information Filtering for Personal Information Protect in Big Data Analyze

  • Koo, Gun-Seo
    • 한국컴퓨터정보학회논문지
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    • 제22권12호
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    • pp.101-108
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    • 2017
  • The study proposed a system that filters the data that is entered when analyzing big data such as SNS and BLOG. Personal information includes impersonal personal information, but there is also personal information that distinguishes it from personal information, such as religious institution, personal feelings, thoughts, or beliefs. Define these personally identifiable information as sensitive information. In order to prevent this, Article 23 of the Privacy Act has clauses on the collection and utilization of the information. The proposed system structure is divided into two stages, including Big Data Processing Processes and Sensitive Information Filtering Processes, and Big Data processing is analyzed and applied in Big Data collection in four stages. Big Data Processing Processes include data collection and storage, vocabulary analysis and parsing and semantics. Sensitive Information Filtering Processes includes sensitive information questionnaires, establishing sensitive information DB, qualifying information, filtering sensitive information, and reliability analysis. As a result, the number of Big Data performed in the experiment was carried out at 84.13%, until 7553 of 8978 was produced to create the Ontology Generation. There is considerable significan ce to the point that Performing a sensitive information cut phase was carried out by 98%.

흙먼지 분리기 용이한 원형베일 세절 조사료의 사이클론 이송장치 개발 (Development of Cyclone Conveying System for Transporting Chopped Round Bale Roughage and Separating Dust)

  • 하유신;권진경;박경규
    • Journal of Biosystems Engineering
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    • 제36권3호
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    • pp.204-210
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    • 2011
  • This study developed the cyclone conveying system using roughage cutter for the round bale reported in the previous papers. Performance tests were conducted whether it can easily separate dust from roughage such as rice straws and it can transport roughages from cutter to TMR mixer. In addition, the airflow patterns in the cyclone conveying system were investigated using CFD code (FLUENT 6.2) for various velocities of dust collection fan. The cyclone conveying system was designed based on dried rice straws with a diameter of 1,340 mm, a cylinder length of 1,220 mm, a cone length of 850 mm and the current velocity of the dust collection fan was 15~20 m/s. It was found that transporting of roughage from cutter to TMR mixer and the separation of dust were satisfactory, and the dust removal rate of rice straws was around 31.9%. CFD analysis showed that, at the blowing fan velocity of 11.6 m/s, the airflow velocity inside the dust collector increased as velocity of the dust collection fan increased, but the airflow patterns inside the dust collector were all much the same.

실차실험에 의한 집전계의 접촉 동특성 규명 (A Verification of the Contact Dynamics of the Current Collection System on a Test Run)

  • 김정수
    • 한국철도학회논문집
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    • 제10권4호
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    • pp.414-419
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    • 2007
  • The contact characteristics of the current collection system are investigated by analyzing data collected during a test run of the Korean high speed rail vehicle. For the analysis, the signals from accelerometers and load cells attached to the various parts of the pantograph are analyzed in both the time and frequency domains. In the frequency domain, the pantograph response consists of low frequency components related to the rigid-body motion of the panhead assembly and high frequency components due to the structural vibration modes of the pantograph. The analysis shows that the inclusion of the high frequency structural vibration modes of the pantograph in the contact force calculation has a negligible effect on the predicted mean value of the contact force but significantly affects the magnitude of its fluctuations. This finding implies that numerical simulations using lumped element models of the pantograph may accurately predict the mean contact force but is limited in its capacity for predicting the fluctuation about the mean. Since the ratio of the fluctuation to the mean in the contact force increases with increased train speed, the limitation of the predictions based on numerical simulation results becomes more pronounced at higher train speed.

지리정보시스템을 활용한 공공도서관 마케팅 (Applications of Geographic Information Systems in Public Library Marketing)

  • 이성신
    • 정보관리학회지
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    • 제28권3호
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    • pp.179-195
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    • 2011
  • 본 연구의 목적은 지리정보시스템(GIS)이 공공도서관 자료선정과 서비스개발에 갖는 의미를 마케팅적 시각에서 탐색해보고자 하는 데 있다. 지리정보시스템이란 지리적 정보를 수집하고, 조작해서 표현해낼 수 있는 컴퓨터시스템이다. 지리정보시스템을 통해, 공공도서관은 지역사회의 교통관련정보, 정치적, 법적, 인구 통계적, 경제적, 사회적, 문화적, 교육적 정보를 수집하는 것이 가능하다. 따라서 공공도서관은 지리정보시스템을 마케팅의 첫 단계인 시장조사 즉 이용자분석에 활용함으로써 이용자의 요구에 부합되는 자료선정과 서비스개발을 할 수 있을 것이다. 이는 또한 이용자와의 지속적 관계형성이라는 마케팅의 최종목적을 달성하는데도 도움이 될 것이다.

내러티브 탐구를 통한 일 대학 간호학생들의 보건소실습 경험 연구 (A Study on Nursing Students' Experience during Clinical Practice at a Public Health Center)

  • 최혜정
    • 한국보건간호학회지
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    • 제19권2호
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    • pp.217-228
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    • 2005
  • Purpose: The purpose of this study is to understand nursing students' experiences during clinical practice at a public health center. Method: This research used narrative inquiry far data collection. From April 2005 to June 2006, data collection was conducted by open-ended interview, questionnaire and close observation. The participants, who were student nurses, were willing to take part in this study. Results: On the basis of these data, the experiences of clinical practice at public health center were: 1) when the student nurses begin clinical practice at public health centers for the first time, most of the students feel fearful, nervous and stressed. They also mentioned having a hard time being polite to clients and the staff. 2) The students had new experiences at the health public center compared with clinical practice. Especially, the student nurses who were determined to be good nurses were doing home visiting care service. Not only did they have the opportunity to confirm their identity as nurses, but also the students change their career course from clinical nursing to public health nursing. 4) They reflected on themselves after home visiting care service. Conclusion: On the basis of these findings, the following recommendations are made. 1) Data collection and analysis are needed, net only through the narrative method, but also through other various qualitative methods. 2) Comparative study is necessary to enhance clinical experiences through the analysis of the interfering factors and the original experiences.

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Proposal of AI-based Digital Forensic Evidence Collecting System

  • Jang, Eun-Jin;Shin, Seung-Jung
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권3호
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    • pp.124-129
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    • 2021
  • As the 4th industrial era is in full swing, the public's interest in related technologies such as artificial intelligence, big data, and block chain is increasing. As artificial intelligence technology is used in various industrial fields, the need for research methods incorporating artificial intelligence technology in related fields is also increasing. Evidence collection among digital forensic investigation techniques is a very important procedure in the investigation process that needs to prove a specific person's suspicions. However, there may be cases in which evidence is damaged due to intentional damage to evidence or other physical reasons, and there is a limit to the collection of evidence in this situation. Therefore, this paper we intends to propose an artificial intelligence-based evidence collection system that analyzes numerous image files reported by citizens in real time to visually check the location, user information, and shooting time of the image files. When this system is applied, it is expected that the evidence expected data collected in real time can be actually used as evidence, and it is also expected that the risk area analysis will be possible through big data analysis.

영유아 체온 데이터 기반 빅데이터 분석 및 학습을 위한 데이터 수집 시스템 구현 (Implementation of a data collection system for big data analysis and learning based on infant body temperature data)

  • 이현섭;허경용
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.577-578
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    • 2021
  • 최근 다양한 분야에서 인공지능 시스템이 활용되고 있다. 인공지능의 결정 알고리즘의 정확도는 학습량과 학습데이터의 정확도에 기인한다. 학습량의 경우 인공지능 성능에 결정적인 영향을 미치기 때문에 많은 양의 데이터가 필요하다. 학습데이터의 정확도는 여러 정제 단계를 거치면서 보정할 수 있으나 분석 이외의 자원 소모를 추가로 가져온다. 본 논문에서는 영유아의 체온 데이터를 기반으로 향후 나타날 수 있는 병증 및 유아의 상태 변화를 분석하는 시스템 구축을 위한 데이터 수집 시스템에 대하여 제안한다. 제안된 시스템은 기존 빅데이터 분석 및 학습 데이터 구축에서 서버 시스템의 자원 소모를 최소화할 수 있을 것으로 사료 된다.

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The Impact of Management on the Operational Efficiency of Listed Companies in Tehran Stock Exchange

  • Dashtbayaz, Mahmoud Lari;Mohammadi, Shaban;Shirzad, Ali
    • 융합경영연구
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    • 제3권4호
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    • pp.13-20
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    • 2015
  • This study examined the relationship between working capital management and performance of listed companies Stock Exchange in Tehran. A total of 40 companies from the cement industry for the period 2007 to 2010 of which only 25 were selected for this study had the condition. In order to achieve the objectives, this study surveys the exploration of correlation regression analysis and used the curve obtained, the regression equation. To test the hypothesis, quantitative analysis was used as a method. The results showed a negative relationship between the variables of working capital management and the company's performance and the only variable cash conversion cycle did not show a significant relationship. There is often a negative correlation between the variables studied. This study is based on five assumptions impact of working capital management on corporate profitability is examined. Therefore, the results suggest that the variables in working capital (average collection of receivables, average inventory turnover period, the average net debt and average transaction cycle) and net operating profit is significant negative correlation Net cash conversion cycle and only illustrates the relationship is not significant. Thus, it showed that in debt collection and debt payment period, the turnover of inventory and net trade cycle to reduce the profitability of companies will increase.