• Proceedings of the Korea Contents Association Conference
• /
• 2003.11a
• /
• pp.84-90
• /
• 2003

This paper describes the analysis of Internet web board. Several usage types and problems on web board are analyzed systematically. Finally, technical and political problem resolution methods on web board are proposed.

• Proceedings of the Korea Contents Association Conference
• /
• 2010.05a
• /
• pp.396-398
• /
• 2010

밀폐된 공간으로 이루어진 작업장은 여러 가지 유해가스가 많이 발생된다. 이로 인해 환기가 불충분한 작업공간에서는 산소결핍 및 유해가스로 인한 건강장해와 인화성 물질에 의한 화재, 폭발 등의 위험이 존재한다. 따라서 유해가스 정보를 작업장 내의 센서를 통해서 실시간으로 모니터링하고, 위험으로부터 작업자의 안전을 보장할 수 있는 모니터링 시스템이 필요하다. 특히, 상황에 맞는 의사결정이 가능하도록 하기 위해 상황인식 시스템의 도입이 필요하다. 이 논문에서는 작업장의 유해가스 정보를 모니터링하기 위한 추론 규칙을 JESS를 기반으로 설계한다.

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 2004.11a
• /
• pp.38-38
• /
• 2004

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.26 no.2
• /
• pp.397-404
• /
• 2016

Illegal and harmful contents on the Internet has been an issue and been increased in Korea. They are often posted on the billboard and website of small enterprise and government office. Those illegal and harmful contents can relate to crime and suspicious activity, so, we need a detection system. However, to date the detection itself has been conducted manually by a person. In this paper, we develop an automated URL detection scheme for detecting a drug trafficking by using Google. This system works by analyzing the frequently used keywords in a drug trafficking and generate a keyword dictionary to store words for future search. The suspected drug trafficking URL are automatically collected based on the keyword dictionary by using Google search engine. The suspicious URL can be detected by classifying and numbering each domain from the collection of the suspected URL. This proposed automated URL detection can be an effective solution for detecting a drug trafficking, also reducing time and effort consumed by human-based URL detection.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.29 no.6B
• /
• pp.554-562
• /
• 2004

This paper proposes on the technical blocking method of Internet harmful pornographic sites which is the most Internet negative-function. At Present, most technical methods based on web sites back-searching or words filtering for blocking the pornographic Internet sites have limitations. For this, this paper proposes the acoustic and image based blocking method for filtering harmful Internet sites. For this, sexual main body parts are extracted by texture analysis and curve fitting. Also acoustic signals are analyzed using pratt tool and auto-correlation function is adopted for matching between prototype signals and test signals. Finally, the effectiveness of this paper is demostrated by several experiments.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2015.01a
• /
• pp.73-76
• /
• 2015

최근 스마트 단말을 통한 유해 콘텐츠의 보급이 확산되면서 스마트 단말에서 유해 콘텐츠를 차단하기 위한 소프트웨어의 필요성이 증가하고 있다. 이에 본 논문에서는 안드로이드 기반 스마트 단말에서 실행 이벤트의 분석을 통하여 유해 콘텐츠를 탐지 할 수 있는 방법을 제안한다. 본 논문에서는 안드로이드기반 스마트 단말에서 스트리밍 서비스가 실행되는 구조 및 관련 실행 이벤트들의 연관성을 분석하였으며, 분석 결과를 토대로 스마트 단말에서 유해 콘텐츠의 실행 여부를 판단할 수 있는 소프트웨어를 개발하였다.

• The Journal of the Korea Contents Association
• /
• v.4 no.2
• /
• pp.1-6
• /
• 2004

This paper proposes on the acoustic signal processing blocking method of Internet pornographicl sites by calculating correlation values between prototype acoustic signals and input acoustic signals. Pre-existing blocking methods mainly focused on directory-based bled(fin and pornographic related words-based blocking. But these methods are not completely blocked the Internet harmful pornographicl sites by several situations. For this, this paper proposes the content-based blocking method which composes of the image-based blocking and the acoustic-based blocking. This paper, mainly, deals with the acoustic -based blocking method. Finally, the effectiveness of this system is demonstrated by several experiments.

• MALSORI
• /
• no.63
• /
• pp.139-151
• /
• 2007

As the Internet becomes prevalent in our lives, harmful contents, such as phornographic videos, have been increasing on the Internet, which has become a very serious problem. To prevent such an event, there are many filtering systems mainly based on the keyword-or image-based methods. The main purpose of this paper is to devise a system that classifies pornographic videos based on the audio information. We use the mel-cepstrum modulation energy (MCME) which is a modulation energy calculated on the time trajectory of the mel-frequency cepstral coefficients (MFCC) as well as the MFCC as the feature vector. For the classifier, we use the well-known Gaussian mixture model (GMM). The experimental results showed that the proposed system effectively classified 98.3% of pornographic data and 99.8% of non-pornographic data. We expect the proposed method can be applied to the more accurate classification system which uses both video and audio information.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2022.04a
• /
• pp.105-106
• /
• 2022

In this study, the classification, particle size, physical properties, and harmful substance contents of aggregates were compared in the standards between Korea and China. As a result of the analysis, although Korea and China are geographically adjacent from a global perspective, there are many differences in standards. In other words, it is analyzed that the standard was set due to the influence of the United States and Japan in Korea, while the standard was set due to the influence of Europe and Russia in China.

• Membrane and Water Treatment
• /
• v.8 no.4
• /
• pp.381-393
• /
• 2017

The inorganic components in tobacco sheet extract have significant influence on the sensory taste of the cigars and the harmful component delivery in cigarette smoke. To identify the contributions of the divalent inorganic components on harmful components delivery in cigarette smoke, a self-made selective electrodialysis was assembled with monovalent ion-selective ion exchange membranes. The influences of current density and extract content on the desalination performance were investigated. Result indicates that the majorities chloride, nitrate, and sulfate ions were removed, comparing with 50-60% of potassium and only less than 10% of magnesium and calcium ions removed in the investigated current density. The permselectivity of the tested cations across the Selemion CSO cation exchange membranes follows the order: $K^+>Ca^{2+}>Mg^{2+}$. A current density of $15mA/cm^2$ is an optional choice by considering both the energy consumption and separation efficiency. When the extract contents are in the range of 7%-20%, the removal ratios the potassium ions are kept around 60%, while the removal ratios of the calcium and magnesium ions fluctuate in the range of 16-27% and 8-14%, respectively. The tobacco smoke experiments indicated that the divalent metal ions have dual roles for the harmful component delivery in cigarette smoke. The divalent potassium and calcium ions were unfavorable for the total particulate matter emission but beneficial to decrease the HCN delivery in the mainstream cigarette smoke. The selective electrodialysis is a robust technology to decrease the harmful component delivery in cigarette smoke.