• Title/Summary/Keyword: Harmful information

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Design of Rule-based Inference Engine for the Monitoring of Harmful Environments in Workplace

  • Ahn, Yoon-Ae
    • Journal of Korea Society of Industrial Information Systems
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    • v.14 no.4
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    • pp.65-74
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    • 2009
  • The risk of health impairment due to poor ventilation, fire and explosion by inflammable materials, and other unintended occurrences is always present in dangerous workplaces such as manholes, underground septic tanks, storage tanks and confined areas. Therefore, it a system which can monitor harmful working environment through sensors in workplace on a realtime basis and keep workers safe from the risk is needed. This paper has attempted to design an inference engine to monitor harmful environments in the workplace. The proposed inference engine has a rule-based system structure using JESS. This system is not confined to a particular computing platform and is easily interlocked with OSGi-based middleware.

Implementation of a Harmful Bird Repellent System using Directional Speakers

  • Hwa-La Hur;Myeong-Chul Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.97-104
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    • 2023
  • In this paper, we propose a harmful bird repellent system using directional speakers. Existing sound systems for the extermination of harmful birds have the disadvantage of reducing effectiveness due to the learning effect of birds due to problems caused by noise pollution and monotonous sounds. In this paper, directional speakers are used to minimize surrounding noise. In addition, the up-down and left-right angles of the speaker driving device were freely adjusted to maximize usability. Additionally, the problem of performance degradation due to learning effects was solved by using various scanning patterns. In the future, we plan to develop a platform capable of central control by applying remote control functions and a deep learning model that can recognize bird species.

Harmful Disinformation in Southeast Asia: "Negative Campaigning", "Information Operations" and "Racist Propaganda" - Three Forms of Manipulative Political Communication in Malaysia, Myanmar, and Thailand

  • Radue, Melanie
    • Journal of Contemporary Eastern Asia
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    • v.18 no.2
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    • pp.68-89
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    • 2019
  • When comparing media freedom in Malaysia, Myanmar, and Thailand, so-called "fake news" appears as threats to a deliberative (online) public sphere in these three diverse contexts. However, "racist propaganda", "information operations" and "negative campaigning" might be more accurate terms that explain these forms of systematic manipulative political communication. The three cases show forms of disinformation in under-researched contexts and thereby expand the often Western focused discourses on hate speech and fake news. Additionally, the analysis shows that harmful disinformation disseminated online originates from differing contextual trajectories and is not an "online phenomenon". Drawing on an analysis of connotative context factors, this explorative comparative study enables an understanding of different forms of harmful disinformation in Malaysia, Myanmar, and Thailand. The connotative context factors were inductively inferred from 32 expert interviews providing explanations for the formation of political communication (control) mechanisms.

An Implementation for Effective Shielding System of Information Electronic Equipments (정보가전기기의 효과적인 차폐시스템 구현)

  • Kim, Jae-Yee;Jeong, Jong-Wook
    • Proceedings of the KIEE Conference
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    • 2004.07c
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    • pp.2031-2033
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    • 2004
  • In this paper, electromagnetic wave environment generated from electronic equipments was investigated. Since the main source of electromagnetic waves are electronic equipments, the field intensity of a harmful electromagnetic wave was measured and its harmful level was analyzed. It was also found that the result was 23%${\sim}$38% in case of TV set and microwave oven. Based on this analysis, this study proposed efficient shielding method to suppress unwanted electromagnetic wave.

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Design and Implementation of Harmful Word Management Board for Web-based Instruction (웹 기반 수업을 위한 유해 단어 관리 게시판의 설계 및 구현)

  • Park, Ji Hyun;Kwak, Mira;Cho, Dong-sub
    • The Journal of Korean Association of Computer Education
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    • v.5 no.1
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    • pp.109-115
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    • 2002
  • Nowadays, Web-based bulletin board system is widely used for e-learning because of its effectiveness in communicating and information sharing. But harmful or irrelevant contents are frequently posted and these affect students in learning community based on Web-boards and the ill effect of Web-board is revealed. Some Web-boards provide features that allow users can filter specific words to resolve this problem but those features have shortcomings. Using these features the content that contains harmful words is always removed even if the whole meaning of it isn't harm and user who uses harmful words habitually cannot have an opportunity of having his/her bad habit be corrected. In this paper, we proposed new way of dealing with harmful words that overcomes those shortcomings.

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Visualization for Integrated Analysis of Multi-Omics Data by Harmful Substances Exposed to Human (인체 유래 환경유해물질 노출에 따른 멀티 오믹스 데이터 통합 분석 가시화 시스템)

  • Shin, Ga-Hee;Hong, Ji-Man;Park, Seo-Woo;Kang, Byeong-Chul;Lee, Bong-Mun
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.363-373
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    • 2022
  • Multi-omics data is difficult to interpret due to the heterogeneity of information by the volume of data, the complexity of characteristics of each data, and the diversity of omics platforms. There is not yet a system for interpreting to visualize research data on environmental diseases concerning environmental harmful substances. We provide MEE, a web-based visualization tool, to comprehensively explore the complexity of data due to the interconnected characteristics of high-dimensional data sets according to exposure to various environmental harmful substances. MEE visualizes omics data of correlation between omics data, subjects and samples by keyword searches of meta data, multi-omics data, and harmful substances. MEE has been demonstrated the versatility by two examples. We confirmed the correlation between smoking and asthma with RNA-seq and Methylation-Chip data, it was visualized that genes (P HACTR3, PXDN, QZMB, SOCS3 etc.) significantly related to autoimmune or inflammatory diseases. To visualize the correlation between atopic dermatitis and heavy metals, we selected 32 genes related immune response by integrated analysis of multi-omics data. However, it did not show a significant correlation between mercury in blood and atopic dermatitis. In the future, should continuously collect an appropriate level of multi-omics data in MEE system, will obtain data to analyze environmental substances and diseases.

Attack Detection Algorithm Using Exponential Smoothing Method on the IPv6 Environment (IPv6 환경에서 지수 평활법을 이용한 공격 탐지 알고리즘)

  • Koo Hyang-Ohk;Oh Chang-Suk
    • The Journal of the Korea Contents Association
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    • v.5 no.6
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    • pp.378-385
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    • 2005
  • Mistaking normal packets for harmful traffic may not offer service in conformity with the intention of attacker with harmful traffic, because it is not easy to classify network traffic for normal service and it for DDoS(Distributed Denial of Service) attack. And in the IPv6 environment these researches on harmful traffic are weak. In this dissertation, hosts in the IPv6 environment are attacked by NETWOX and their attack traffic is monitored, then the statistical information of the traffic is obtained from MIB(Management Information Base) objects used in the IPv6. By adapting the ESM(Exponential Smoothing Method) to this information, a normal traffic boundary, i.e., a threshold is determined. Input traffic over the threshold is thought of as attack traffic.

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A Study on the Effects of Cyber Bullying on Cognitive Processing Ability and the Emotional States: Moderating Effect of Social Support of Friends and Parents

  • Yituo Feng;Sundong Kwon
    • Asia pacific journal of information systems
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    • v.30 no.1
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    • pp.167-187
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    • 2020
  • College students experience more cyber bullying than youth and cyber bullying on college students may be more harmful than youth. But many studies of cyber bullying have been conducted in youth, but little has been studied for college students. Therefore, this study investigated the negative effects of college students' cyber bullying experience on cognitive processing ability and emotional states. The social support of friends has a buffering effect that prevents stress and reduces the influence on external damage in stressful situations. But the impact of parental social support is controversial. Traditionally, the social support of parents has been claimed to mitigate the negative effects of external damage. Recently, however, it has been argued that parental social support, without considering the independence and autonomy needs of college students, does not alleviate the negative effects. Therefore, this study examined how the social support of friends and parents moderate the negative impact of cyber bullying. The results show that the more college students experience cyber bullying, the lower their cognitive processing ability and emotional states. And, the higher the social support of friends, the lower the harmful impacts of cyber bullying on cognitive processing ability and emotional states. But, the higher the social support of parents, the higher the harmful impacts of cyber bullying on cognitive processing ability and emotional states.

Classification Method of Harmful Image Content Rates in Internet (인터넷에서의 유해 이미지 컨텐츠 등급 분류 기법)

  • Nam, Taek-Yong;Jeong, Chi-Yoon;Han, Chi-Moon
    • Journal of KIISE:Information Networking
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    • v.32 no.3
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    • pp.318-326
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    • 2005
  • This paper presents the image feature extraction method and the image classification technique to select the harmful image flowed from the Internet by grade of image contents such as harmlessness, sex-appealing, harmfulness (nude), serious harmfulness (adult) by the characteristic of the image. In this paper, we suggest skin area detection technique to recognize whether an input image is harmful or not. We also propose the ROI detection algorithm that establishes region of interest to reduce some noise and extracts harmful degree effectively and defines the characteristics in the ROI area inside. And this paper suggests the multiple-SVM training method that creates the image classification model to select as 4 types of class defined above. This paper presents the multiple-SVM classification algorithm that categorizes harmful grade of input data with suggested classification model. We suggest the skin likelihood image made of the shape information of the skin area image and the color information of the skin ratio image specially. And we propose the image feature vector to use in the characteristic category at a course of traininB resizing the skin likelihood image. Finally, this paper presents the performance evaluation of experiment result, and proves the suitability of grading image using image feature classification algorithm.

A Study on the Measurement and Investigation of Air Quality in a University Library (대학도서관 실내 공기질 측정 및 조사 연구)

  • Lee, Jae-Won
    • Journal of Korean Library and Information Science Society
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    • v.50 no.4
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    • pp.635-658
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    • 2019
  • In this study, the harmful factors measured in S university's central library were divided into ① air harmful substance ② biological harmful factors ③ carbon monoxide, carbon dioxide, and nitrogen dioxide concentration, measured and analyzed compared to the relevant criteria. The analysis showed that the harmful substances in the air - fine dust, asbestos, volatile organic compounds and formaldehyde - were all lower than the relevant standards, and that biological harmful factors such as fungi in the air, gramophageal bacteria, and endotoxin were also found to have no particular problems. The concentration of carbon monoxide, carbon dioxide, and nitrogen dioxide in the air was also maintained without any unusual factors compared to the concentration in the ordinary atmosphere. However, the library is a multi-use facility that needs regular cleaning and ventilation to manage the environment.