• 문화기술의 융합
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• 제8권2호
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• pp.109-116
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• 2022

코로나 19 위기 상황에서 정부의 대책이 소셜미디어를 통해 어떻게 확산했는지 알아보기 위해 이 연구는 유튜브에서 코로나 19 방역과 백신 접종 관련 이슈의 확산 과정을 네트워크 분석했다. 마스크 대란, 확진자 급증, 백신 수급 문제에 대한 네트워크 분석결과 코로나 19 상황을 전달하는 언론사 채널의 영향력이 컸고, 조회 수도 높게 나타났다. 다만 보수 성향의 채널에서 감정적 헤드라인이 더 많았고, 보수 성향의 개인 채널이 정부에 대한 부정적 메시지를 확산했고 동영상 조회 수도 높게 나타났다. 정부는 소셜미디어에서 확산되는 부정적인 메시지와 허위정보에 대응하기 위해 정확한 정보를 적극적으로 알리고, 언론은 부정확한 정보, 허위정보에 대한 팩트체크를 해야 할 것이다.

• 감성과학
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• 제18권2호
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• pp.85-100
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• 2015

본 연구에서는 오정보가 제시된 경우, 원기억의 존재여부를 사건관련전위 기반 숨긴정보검사 (Event-Related Potential based Concealed Information test: ERP-based CIT)를 사용하여 확인하고자 하였다. 오정보 제시 여부를 조작하여 두 가지 실험 조건을 구성한 후 각 조건의 피험자들을 대상으로 뇌파를 측정하여 P300 진폭, 면적 및 잠재기와 반응시간을 분석하였다. 조건별 피험자 수는 각 20명이었고, Cz, Pz와 Oz영역에서 뇌파를 측정하였다. 본 연구의 결과는 두 가지로 요약할 수 있다. 첫째, Cz, Pz와 Oz영역의 P300 면적에 대한 분석에서 오정보 제시여부와 자극 종류의 상호작용 효과가 나타났다. 둘째, 오정보 조건에서의 P300 진폭에 대한 분석 결과 Pz영역에서 오정보에 대한 P300 진폭과 무관련 정보에 대한 P300 진폭은 다른 것으로 나타났으나, 원정보에 대한 P300 진폭은 오정보 또는 무관련 정보에 대한 P300 진폭과 다르지 않은 것으로 나타났다. 이러한 연구 결과는 원기억이 오정보에 대한 기억과 함께 존재할 가능성과 원기억이 부분적으로 손상되었을 가능성을 보여주는 것이라고 할 수 있다. 논의에서는 분석 결과에 대한 세부적인 해석, 본 연구의 단점 및 보완할 수 있는 가능한 방법과 향후 연구의 방향에 대해 논의하였다.

• 제어로봇시스템학회논문지
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• 제14권1호
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• pp.27-35
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• 2008

A navigation system is one of the important components of an unmanned ground vehicle (UGV). A GPS receiver collects data signals transmitted by (Earth orbiting) satellites. However, these data signals may contain many errors resulting misinformation and depending on one's position (environment), reception may be impossible. The proposed self-driven algorithm uses three low-cost GPS in order to minimize errors of existing inexpensive single GPS's driving algorithm. By using reliable final data, which is analyzed and combined from each of three GPS's received data signals, gathering a vehicle's steering performance information and its current pin-point position is improved even with error containing signals or from a place where signal gathering is impossible. The purpose of this thesis is to explain navigation system algorithm using multiple GPS and compass sensor and prove the algorithm through experiments.

• Asian Journal for Public Opinion Research
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• 제8권2호
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• pp.67-104
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• 2020

Fake news and disinformation provoked heated arguments during Taiwan's 2018 local election. Most significantly, concerns grew that Beijing was attempting to sway the island's politics armed with a new "Russian-style influence campaign" weapon (Horton, 2018). To investigate the speculated effects of the "onslaught of misinformation," an online survey with 1068 randomly selected voters was conducted immediately after the election. Findings confirmed that false news affected Taiwanese voters' judgment of the news and their voting decisions. More than 50% of the voters cast their votes without knowing the correct campaign news. In particular, politically neutral voters, who were the least able to discern fake news, tended to vote for the China-friendly Kuomintang (KMT) candidates. Demographic analysis further revealed that female voters tended to be more likely to believe fake news during the election period compared to male voters. Younger or lower-income voters had the lowest levels of discernment of fake news. Further analyses and the implications of these findings for international societies are deliberated in the conclusion.

• 한국컴퓨터산업학회논문지
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• 제3권2호
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• pp.159-166
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• 2002

WWW으로부터 얻을 수 있는 정보의 양은 엄청나다. 그러나 사용자는 종종 정보검색의 결과에 혼란스러움을 느끼는데 그 이유는 관계없는 정보, 잘못된 정보, 충분치 못한 정보 등에 있다. 이 논문은 올바른 정보의 검색에 편의를 주기 위한 메타데이타 관리 시스템을 제안한다. 웹 코스웨어를 위한 메타데이타의 요소들을 가려내고 그 관계를 규명하여 관계 데이터베이스를 구성한다. 메타데이타를 취득하는 프로시저는 마이크로소프트의 ASP(Active Server Pages)로 구현하였다. 웹 코스웨어에 대한 긴요한 정보를 제공하고 사용자의 질의를 정확하고 효율적으로 처리하기 위하여 사용자 편이성이 보장된 인터페이스를 시스템이 제공한다.

• 한국유기농업학회지
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• 제18권4호
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• pp.463-487
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• 2010

This work is described as an early effort to study organic products marketing. Discusses the characteristics, barriers and vitalization strategies of developing new markets in an environment of increasing consumer awareness and marketability of organic products. Barriers to developing new markets for organic products include lack of basic information or poor understanding among farmers of sustainable techniques and practices, poor access to markets, high start-up costs, lack of understanding the developing market, uncertainty in marketing and pricing, consumer habits, inadequate financing, including resistance to paying premium prices, misinformation and misapprehension concerning the production of organic products. Recommends strategies for implementing sustainable systems, e.g., involve government agencies, educating and organizing both farmers, processors, and consumers developing marketing and distribution programs. Examines business strategies that have successfully targeted markets, such as advertising, labeling, public relations and communications, gaining consumer trust, partnerships, and diversifying operations.

• 대한영양사협회학술지
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• 제6권1호
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• pp.1-8
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• 2000

Nowadays social environment is rapidly changed toward globalization and information age, and which demands the new paradigm for active utilization of information system in many fields. The increasing availability and ease of accessibility of the internet using world wide web have resulted in an enormous increase in the amount of nutrition information in countries with advanced information technology. However, Domestic web services in nutrition field are neither diverse nor professional currently. Nutrition experts need to take advantage of the resources offered though the web and take an active role in providing reliable and accurate information and preventing the growth of nutrition misinformation though web. Nutrition web sites on a variety of subjects should be developed depending upon the objectivity of nutrition resources and the target clients. Nutrition-related organizations are responsible for monitoring nutrition web information and encouraging open discussion and evaluation of hot issues among experts, and between experts and clients through the internet.

• Journal of Hospice and Palliative Care
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• 제23권4호
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• pp.252-255
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• 2020

This article aims to discuss the barriers hindering cancer patients from receiving early palliative care, which has been demonstrated to be more effective in improving quality of life and controlling symptoms. Specifically, there are barriers in four aspects of delivering early palliative care. First, the difficulty of starting discussions about early palliative care and the lack of adequate appointment time can impede communication between oncologists and patients and their family members. Second, determining the timing of referral and deciding upon and applying a standard for referral can be barriers in the process of referral from oncology to palliative care. Third, palliative care patients and their family members can face difficulties regarding in what format and by whom the services will be delivered. Fourth, biases, misinformation, and inaccurate beliefs can be barriers in the process of patients and their family members accepting care. In order to facilitate early palliative care, research and policy regarding these barriers are necessary, along with efforts made by medical staff.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.627-630
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• 2022

Over the past few years, fake news has become one of the most significant problems. Since it is impossible to prevent people from spreading misinformation, people should analyze the news themselves. However, this process takes some time and effort, so the routine part of this analysis should be automated. There are many different approaches to this problem, but they only analyze the text and messages, ignoring the images. The fake news problem should be solved using a complex analysis tool to reach better performance. In this paper, we propose the approach of training an Artificial Intelligence using an unsupervised learning algorithm, combined with online data parsing tools, providing independence from subjective data set. Therefore it will be more difficult to spread fake news since people could quickly check if the news or article is trustworthy.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.173-181
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• 2023

Data collection is an essential element in the construction and operation of a smart factory. The quality of data collection is greatly influenced by network conditions, and existing wireless network systems for IoT inevitably lose data due to wireless signal strength. This data loss has contributed to increased system instability due to misinformation based on incorrect data. In this study, I designed a distributed MQTT IoT smart sensor and gateway structure that supports wireless multicasting for smooth sensor data collection. Through this, it was possible to derive significant results in the service latency and data loss rate of packets even in a wireless environment, unlike the MQTT QoS-based system. Therefore, through this study, it will be possible to implement a data collection management system optimized for the domestic smart factory manufacturing environment that can prevent data loss and delay due to abnormal data generation and minimize the input of management personnel.