• Title/Summary/Keyword: 박제홍

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A Malicious Comments Detection Technique on the Internet using Sentiment Analysis and SVM (감성분석과 SVM을 이용한 인터넷 악성댓글 탐지 기법)

  • Hong, Jinju;Kim, Sehan;Park, Jeawon;Choi, Jaehyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.2
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    • pp.260-267
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    • 2016
  • The Internet has brought lots of changes to us sharing information mutually. However, as all social symptom have double-sided character, it has serious social problem. Vicious users have been taking advantage of anonymity on the Internet, stating comments aggressively for defamation, personal attacks, privacy violation and more. Malicious comments on the Internet are creating the biggest problem regarding unlawful acts and insults which occur on the Internet. In order to solve the issues, several studies have been done to efficiently manage the comments. However, there are limitations to recognize modified malicious vocabulary in previous research. So, in this paper, we propose a malicious comments detection technique by improving limitation of previous studies. The experimental result has shown accuracy of 87.8% providing higher accuracy as compared to previous studies done.

Development of Specifications and Design Criteria of Rest Area for Drowsy Drivers (고속도로 졸음쉼터 제원 산정 및 설계기준 정립에 관한 연구)

  • Oh, Seok Jin;Park, Je jin;Hong, Jung Pyo;Ha, Tae Jun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.2
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    • pp.397-407
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    • 2017
  • This study investigated current status of rest area for drowsy drivers on the highways and drew the related issues to define specifications and design criteria regarding expressway rest area for drowsy drivers on the highways. Based on the investigation result, geometric structure specifications and improvement plans are suggested. The entry part of a rest area for drowsy drivers on the highways was divided into deceleration transition section, deceleration lane and entry connection road while the exit part was divided into exit connection road, acceleration lane and acceleration transition section. The optimum length was estimated by considering the main lane vehicle traveling speed, traveling speed at the beginning/end point of entry/exit connection roads, deceleration and acceleration. In addition, reasonable design criteria were suggested by dividing the parking section of rest area for drowsy drivers according to parking style and cross-section composition, and length of parking space and then considering the ratio of vehicles using rest area for drowsy drivers, the ratio of heavy vehicles, and the design speed within a rest area for drowsy drivers. It is believed that the suggested design criteria on rest area for drowsy drivers on the highways can be utilized in the future planning and maintenance of rest area for drowsy drivers. Additionally, the defined criteria on installing rest area for drowsy drivers on the highways will prevent traffic accidents in resting facilities and highways as well as improve usage and safety of them.

Applicability Assessment of Disaster Rapid Mapping: Focused on Fusion of Multi-sensing Data Derived from UAVs and Disaster Investigation Vehicle (재난조사 특수차량과 드론의 다중센서 자료융합을 통한 재난 긴급 맵핑의 활용성 평가)

  • Kim, Seongsam;Park, Jesung;Shin, Dongyoon;Yoo, Suhong;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.841-850
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    • 2019
  • The purpose of this study is to strengthen the capability of rapid mapping for disaster through improving the positioning accuracy of mapping and fusion of multi-sensing point cloud data derived from Unmanned Aerial Vehicles (UAVs) and disaster investigation vehicle. The positioning accuracy was evaluated for two procedures of drone mapping with Agisoft PhotoScan: 1) general geo-referencing by self-calibration, 2) proposed geo-referencing with optimized camera model by using fixed accurate Interior Orientation Parameters (IOPs) derived from indoor camera calibration test and bundle adjustment. The analysis result of positioning accuracy showed that positioning RMS error was improved 2~3 m to 0.11~0.28 m in horizontal and 2.85 m to 0.45 m in vertical accuracy, respectively. In addition, proposed data fusion approach of multi-sensing point cloud with the constraints of the height showed that the point matching error was greatly reduced under about 0.07 m. Accordingly, our proposed data fusion approach will enable us to generate effectively and timelinessly ortho-imagery and high-resolution three dimensional geographic data for national disaster management in the future.