• Title/Summary/Keyword: 처리전략

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A Study on the Records of Presidential Impeachment in 2004 in the Public Domain (공공영역의 2004년 대통령 탄핵사건 기록)

  • Oh, Myung-Jin
    • The Korean Journal of Archival Studies
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    • no.32
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    • pp.45-78
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    • 2012
  • The significance of Presidential Impeachment in 2004 is subject to interpretations in many different contexts, but its nature as its justice was the constitutional trial by the nation's impeachment system. This study set out to compare and analyze the understanding of the event centered around its nature as "an impeachment event as a public activity" and the records related to it. For that purpose, the study attempted to analyze the impeachment event to understand it as a public activity and examined and analyzed the records of the impeachment event in the public domain through personal visit, phone interview, and request of information disclosure based on the analysis results. An impeachment event as a public activity can be understood as an activity carried out by the National Assembly, which is to issue a motion for impeachment under the norms of the nation's impeachment system, and Constitutional Court, which is responsible for impeachment trial, through their unique rights prescribed in the Constitution. The important subjects of such a public activity included the accused president, the acting presidential system created by the motion for impeachment, and the National Election Commission that provided a decisive ground for impeachment. It was confirmed that the records, which are legal requirements, were well created and have been preserved and managed in the public domain. However, it was difficult to conclude that the records of the impeachment event were thoroughly created in terms of content in relation to affairs as they mainly covered the superficial treatment processes and the results of explicit activities. There was, in particular, the absence of records showing the context of activity.

A Transdisciplinary and Humanistic Approach on the Impacts by Artificial Intelligence Technology (인공지능과 디지털 기술 발달에 따른 트랜스/포스트휴머니즘에 관한 학제적 연구)

  • Kim, Dong-Yoon;Bae, Sang-Joon
    • Journal of Broadcast Engineering
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    • v.24 no.3
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    • pp.411-419
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    • 2019
  • Nowadays we are not able to consider and imagine anything without taking into account what is called Artificial Intelligence. Even broadcasting media technologies could not be thought of outside this newly emerging technology of A.I.. Since the last part of 20th century, this technology seemingly is accelerating it's development thanks to an unbelievably enormous computational capacity of data information treatments. In conjunction with the firmly established worldwide platform companies like GAFA(Google, Amazon, Facebook, Apple), the key cutting edge technologies dubbed NBIC(Nanotech, Biotech, Information Technology, Cognitive science) converge to change the map of the current civilization by affecting the human relationship with the world and hence modifying what is essential in humans. Under the sign of the converging technologies, the relatively recently coined concepts such as 'trans(post)humanism' are emerging in the academic sphere in the North American and Major European regions. Even though the so-called trans(post)human movements are prevailing in the major technological spots, we have to say that these terms do not yet reach an unanimous acceptation among many experts coming from diverse fields. Indeed trans(post)humanism as a sort of obscure term has been a largely controversial trend. Because there have been many different opinions depending on scientific, philosophical, medical, engineering scholars like Peter Sloterdijk, K. N. Hayles, Neil Badington, Raymond Kurzweil, Hans Moravec, Laurent Alexandre, Gilbert Hottois just to name a few. However, considering the highly dazzling development of artificial intelligence technology basically functioning in conjunction with the cybernetic communication system firstly conceived by Nobert Wiener, MIT mathematician, we can not avoid questioning what A. I. signifies and how it will affect the current media communication environment.

The Impact of Soccer Player Image on Advertising Effect (축구 선수 이미지가 광고효과에 미치는 영향)

  • Jeong, Hee-Surk;Shin, Jin-Ho;Kim, Ji-Sun
    • Journal of the Korean Applied Science and Technology
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    • v.37 no.6
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    • pp.1575-1582
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    • 2020
  • This study aimed to provide basic data for establishing advertising strategy based on the value and implications of the image of the player by examining the influence of the image of a soccer player on the advertising effect. Therefore, a domestic soccer player selected as a sample the production population who experienced the advertisement selected as a model, and conducted a face-to-face (face-to-face) and non-face-to-face (mobile) survey for about 5 months from May 1 to September 30, 2020. Data from a total of 402 people were used for the final analysis. For data processing, frequency analysis, internal consistency and exploratory factor analysis, correlation analysis, and multiple regression analysis were performed using the SPSS (ver. 21.0) program. The main results of this study are as follows. First, it was found that the soccer player image impact the brand attitude of the advertising effect in the order of body and appearance, performance, reliability, attitude and morality. Second, it was found that the soccer player image impact the advertising attitude of the advertising effect in the order of performance, attitude and morality, body and appearance, reliability.

On the Travelogue to Shenyang written by Seon Yak-hae - A mushin's (military official) report of secret observation on Qing Dynasty (선약해(宣若海)의 『심양일기(瀋陽日記)』 - 병자호란 전 조선 무신의 후금(後金)에 대한 정탐 일기 -)

  • Nam, Eun-kyung
    • (The)Study of the Eastern Classic
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    • no.34
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    • pp.133-165
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    • 2009
  • 'Travelogue to Shenyang(瀋陽日記)' is a documentary literature that Seon Yak-hae (宣若海) who was a military official of Joseon(朝鮮) Dynasty, described matters happened in Shenyang when he visited there as an envoy during early 17th century when Qing(淸) Dynasty and Ming(明) Dynasty coexisted and had diplomatic conflict with Joseon Dynasty. This documentary literature is included in the data collection of China that gathers important historical data of China and has been published and delivered in China, but it hasn't caught attention in Korean academic society. There's another 'Travelogue to Shenyang' which is known in the academic society that is a record of eight years of hostage period of Crown Prince Sohyeon and his group in Shenyang. However, this 'Travelogue to Shenyangl' of Seon Yak-hae is a record of Joseon and other countries' status at that time as well as the Joseon intellectual's activities while visiting Shenyang before the outbreak of the Manchurian Invasion (to Korea) in 1636. Seon Yak-hae who wrote this 'Travelogue to Shenyang' recorded his successful works as an envoy with proud, and showed a unique appearance as a military official and intellect who wanted to observe political and military status of Qing Dynasty secretly and report to his country. Since he was an intellect who had military background, he responded bravely when dealing with diplomatic problem and collected data strategically. He also had the ability as an intellectual official, so he wrote realistic articles and also wrote some poems to express his honest feelings in this peculia Travelogue. Therefore, this ' Travelogue to Shenyang' has both values as a historic records that showed diplomatic status of Joseon in the 17th century and literature records that showed unique spirit to record as an intellect who also had military mind.

Security and Trust on Non-Contact Financial Transaction (금융보안과 신뢰가 비대면 금융거래에 미치는 영향)

  • John, Yong-Jean
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.147-154
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    • 2021
  • The pandemic age came to us after the COVID19 broke out in the early of 2020, which resulted in many changes in our everyday life. One of the changes is non-contact transactions in economic activities, especially contact-free financial transactions are ever-increasing activities in the pandemic age. In non-contact financial transactions, security and trust are important issues that users are concerned about the most. So the paper examines how security and trust have effects on the attitudes of bank customers who use mobile banking applications on their smartphones. The study conducted factor ananlysis to extract research constructs using survey data gathered during Nobember of 2020 through February of 2021 across the nation. After extracting the constructs, the study checked validity, sampling adequacy, and internal reliability with KMO, Bartlett's test, and Crombach Alpha respectively. To make sure the purpose of the study, I do regression analysis. All factors of attitude had impacts on willingness on both of transactions and purchasing financial products. The results could give guidelines banks which want to attract more customers in open-banking environment through ever-more secure and trusty mobile banking application.

A Study on the Current State of the Library's AI Service and the Service Provision Plan (도서관의 인공지능(AI) 서비스 현황 및 서비스 제공 방안에 관한 연구)

  • Kwak, Woojung;Noh, Younghee
    • Journal of Korean Library and Information Science Society
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    • v.52 no.1
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    • pp.155-178
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    • 2021
  • In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

Analysis of the Importance and Satisfaction of Viewing Quality Factors among Non-Audience in Professional Baseball According to Corona 19 (코로나 19에 따른 프로야구 무관중 시청품질요인의 중요도, 만족도 분석)

  • Baek, Seung-Heon;Kim, Gi-Tak
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.2
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    • pp.123-135
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    • 2021
  • The data processing of this study is focused on keywords related to 'Corona 19 and professional baseball' and 'Corona 19 and professional baseball no spectators', using text mining and social network analysis of textom program to identify problems and view quality. It was used to set the variable of For quantitative analysis, a questionnaire on viewing quality was constructed, and out of 270 survey respondents, 250 questionnaires were used for the final study. As a tool for securing the validity and reliability of the questionnaire, exploratory factor analysis and reliability analysis were conducted, and IPA analysis (importance-satisfaction) was conducted based on the questionnaire that secured validity and reliability, and the results and strategies were presented. As a result of IPA analysis, factors related to the image (image composition, image coloration, image clarity, image enlargement and composition, high-quality image) were found in the first quadrant, and the second quadrant was the game situation (support team game level, support player game level, star). Player discovery, competition with rival teams), game information (match schedule information, player information check, team performance and player performance, game information), interaction (consensus with the supporting team), and some factors appeared. The factors of commentator (baseball-related knowledge, communication ability, pronunciation and voice, use of standard language, introduction of game-related information) and interaction (real-time communication with the front desk, sympathy with viewers, information exchange such as chatting) appeared.

Voice Interactions with A. I. Agent : Analysis of Domestic and Overseas IT Companies (A.I.에이전트와의 보이스 인터랙션 : 국내외 IT회사 사례연구)

  • Lee, Seo-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.15-29
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    • 2021
  • Many countries and companies are pursuing and developing Artificial intelligence as it is the core technology of the 4th industrial revolution. Global IT companies such as Apple, Microsoft, Amazon, Google and Samsung have all released their own AI assistant hardware products, hoping to increase customer loyalty and capture market share. Competition within the industry for AI agent is intense. AI assistant products that command the biggest market shares and customer loyalty have a higher chance of becoming the industry standard. This study analyzed the current status of major overseas and domestic IT companies in the field of artificial intelligence, and suggested future strategic directions for voice UI technology development and user satisfaction. In terms of B2B technology, it is recommended that IT companies use cloud computing to store big data, innovative artificial intelligence technologies and natural language technologies. Offering voice recognition technologies on the cloud enables smaller companies to take advantage of such technologies at considerably less expense. Companies also consider using GPT-3(Generative Pre-trained Transformer 3) an open source artificial intelligence language processing software that can generate very natural human-like interactions and high levels of user satisfaction. There is a need to increase usefulness and usability to enhance user satisfaction. This study has practical and theoretical implications for industry and academia.

The Performance Improvement of U-Net Model for Landcover Semantic Segmentation through Data Augmentation (데이터 확장을 통한 토지피복분류 U-Net 모델의 성능 개선)

  • Baek, Won-Kyung;Lee, Moung-Jin;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.38 no.6_2
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    • pp.1663-1676
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    • 2022
  • Recently, a number of deep-learning based land cover segmentation studies have been introduced. Some studies denoted that the performance of land cover segmentation deteriorated due to insufficient training data. In this study, we verified the improvement of land cover segmentation performance through data augmentation. U-Net was implemented for the segmentation model. And 2020 satellite-derived landcover dataset was utilized for the study data. The pixel accuracies were 0.905 and 0.923 for U-Net trained by original and augmented data respectively. And the mean F1 scores of those models were 0.720 and 0.775 respectively, indicating the better performance of data augmentation. In addition, F1 scores for building, road, paddy field, upland field, forest, and unclassified area class were 0.770, 0.568, 0.433, 0.455, 0.964, and 0.830 for the U-Net trained by original data. It is verified that data augmentation is effective in that the F1 scores of every class were improved to 0.838, 0.660, 0.791, 0.530, 0.969, and 0.860 respectively. Although, we applied data augmentation without considering class balances, we find that data augmentation can mitigate biased segmentation performance caused by data imbalance problems from the comparisons between the performances of two models. It is expected that this study would help to prove the importance and effectiveness of data augmentation in various image processing fields.

Big Data Analysis for Strategic Use of Urban Brands: Case Study Seoul city brand "I SEOUL U" (도시 브랜드의 전략적 활용을 위한 빅데이터 분석 : 서울시 도시 브랜드 "I SEOUL U" 사례)

  • Lim, Haewen
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.197-213
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    • 2022
  • In this study, text mining analysis was performed on online big data for recognition and assessment of urban brand I Seoul U. To this end, TEXTOM, a processing program for data acquisition and analysis was used, and the 'I SEOUL U' keyword was selected as an analysis keyword. Keyword analysis shows the keywords associated with I Seoul U to be as follows: First, as a business and marketing term, keywords include pop-up store, gallery, co-branding, (festival, etc.), commodities, private companies and online. Second, as an event-related term, keywords include Han River, tree-planting day, tree planting, Hongdae, Christmas, Mapo, Jung-gu, Sejong University, and festival. Third, as a promotional term, keywords include robotics engineer Dr. Dennis Hong, Government, Art and Korea. In the N Gram analysis, as the city brand of Seoul, I Seoul U, in the public interest, was found to contribute to the commercial activities of private companies. In connection-oriented analysis, business and marketing, events, and promotions have been derived as categories. In matrix analysis, it was found that the products of the pop-up store are mainly developed, and products in the form of co-branding were being developed. In the topic modeling, a total of 10 topics were extracted and needs for commercial utilization and information for event festivals were mostly found.