• Journal of the Korea Convergence Society
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• v.10 no.8
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• pp.195-203
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• 2019

The aim of this study is to explore the paradigm shifts in culture and system related to life in terms of AI and the present point of view in which creating human values together are important. An approach that focuses on how AI-related phenomena work in modern society forms the basis of this research. Therefore, to clarify the meaning of "AI phenomenon" converging it as a part of social culture, this study was intended to find out the value incorporated in the social system such as ethics and equality together with the literature review. Inferring the technical culture that are combined with the AI that the members of society can do together is as important as technical understanding in the functional aspect. Therefore, this study was intended to suggest new culture that the cultural imagination and the social system create harmonizing each other, that is, the possibility of "AI culture". So, this article has a characteristic of a preliminary study, too.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1797-1808
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• 2021

Artificial intelligence is considered one of the core technologies leading the 4th industrial revolution. It is adopted in various fields bringing about a huge paradigm shift throughout our society. The field of biotechnology is no exception. It is undergoing innovative development by converging with other disciplines such as computers, electricity, electronics, and so on. In drug discovery and development, big data-based AI technology has a great potential of improving the efficiency and quality of drug development, rapidly advancing to overcome the limitations in the existing drug development process. AI technology is to be specialized and developed for the purpose including clinical efficacy and safety-related end points based on the multidisciplinary knowledge such as biology, chemistry, toxicology, pharmacokinetics, etc. In this paper, we review the current status of AI technology applied for drug discovery and consider its limitations and future direction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1618-1624
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• 2018

The undergraduate structure based on flipped learning should be a necessary course to cultivate value creation capability based on students' problem solving capability through the change of university education in the fourth industrial revolution era. Flipped learning stimulated the learner's high order thinking and activates communication between the faculty-student and the students through the use of activity oriented teaching strategy. Introduction and spread of Flipping Learning combining project-based learning with MOOC is required. The professor should be able to apply net teaching and learning methods using flipping learning and active learning, and develop class contents reflecting new knowledge, information and technology. As the introduction and spread of AI-based(E-Advisor, chat bot et al) learning consulting, Which is becoming increasingly advanced, the transition to "personalized education" that meets the 4th Industrial Revolution should be made.

• Journal of Platform Technology
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• v.8 no.3
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• pp.22-29
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• 2020

The 4th industrial revolution is progressing by country as a mega trend that leads various technological convergence directions in the social and economic fields from the initial simple manufacturing innovation. The epidemic of infectious diseases such as COVID-19 is shifting digital-centered non-face-to-face business from economic operation, and the use of AI and big data technology for personalized services is essential to spread online. In this paper, we analyze cases focusing on the application of artificial intelligence technology, which is a key technology for the effective implementation of the digital new deal promoted by the government, as well as the major technological characteristics of the 4th industrial revolution and describe the use cases in the field of disaster response. As a disaster response use case, AI assistants suggest appropriate countermeasures according to the status of the reporter in an emergency call. To this end, AI assistants provide speech recognition data-based analysis and disaster classification of converted text for adaptive response.

• KOREAN POULTRY JOURNAL
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• v.39 no.1 s.447
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• pp.94-96
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• 2007

본고에서는 AI 종식이후 농가들이 재입식 절차요령에 대한 궁금증을 풀어주고자「가축질병 위기대응 실무메뉴얼」에 실린 사후관리와 재입식 요령을 바탕으로 정리하여 게재하였다. HPAI가 발생한 위험지역 내에서 다시 재입식을 하기 위해서는 최소한 3개월 정도가 소요된다. 즉, AI의 최대 잠복기가 3주이기 때문에 그동안 추가 발생이 없으면 위험지역은 경계지역으로 전환되고, 이후 1달간의 상황을 지켜본 후 이상이 없으면 이동제한 조치가 추가로 해제된다. 이동제한 조치가 풀렸다고 해서 AI발생지역에서 재입식이 가능한 것은 아니다. 이동제한 조치가 풀린뒤 21일간의 입식시험을 거쳐야 하고 시험사육뒤 검역원에 21일간의 정밀검사를 받은 후에 비로소 입식을 할 수 있다. 이 모든 것은 추가 발생이 되지 않는다는 전제하에 이루어진다.

• Annual Conference of KIPS
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• 2023.11a
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• pp.1027-1028
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• 2023

학교상담은 학생들의 학업 및 심리적 건강을 촉진하는 핵심 구성 요소 중 하나로 자리 잡고 있으며, 코로나 19 로 인한 언택트 시대로의 전환은 비대면 상담 방식의 혁신을 촉발하였다. 본 연구는 AI 챗봇을 활용한 상담 서비스를 통해 학교상담의 효과를 높이고, 학생들의 학업 및 심리적 건강에 대한 지원을 강화하는 데 주력한다. 이러한 연구는 미래의 학교 상담 서비스 분야에 크게 이바지할 것으로 기대된다.

• Monthly Duck's Village
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• s.249
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• pp.16-18
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• 2024

"오리농가의 권익향상과 AI방역지침의 현실적 개선, 그것이 임기 중 이뤄야 할 가장 큰 숙제라고생각합니다." 지난 3월 14일 대전 선샤인호텔에서 열린 정기총회에서 단독후보로 당선확정되면서 임기를 시작한 박하담 신임 한국오리협회장은 어려운 현실에 처해 있는 오리 농가들의 현안 해결을 위해 상근직 회장으로 체제를 전환하고 조직재정비에 돌입했다. "계열업체와 오리 농가들의 정기적 토론회를 개최해 현장의 소리를 들을 수 있는 자리를 마련하려고 합니다. AI 발생농장 정상화 이후 계열회사가 일반농장보다 우대하는 방안 등을 협의하는 등 농가에게 가장 필요한 것들을 우선협의하려고 합니다. 사육, 종오리, 부화 등 각각의 오리 농가들이 계열업체와 충분히 대화해 소통이 되는 오리산업의 기반을 만들 것입니다." 박 신임 회장은 고병원성 AI 방역지침은 비현실적이라고 지적하고 오리농가들이 감내할 수 있는 수준을 한참 벗어났다고 목소리를 높였다.

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Informatization Policy
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• v.23 no.4
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• pp.24-37
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• 2016

An Intelligent information society means intelligent superconducting society that goes beyond information society where information is centered. Now that artificial intelligence is specifically discussed, it is time to start discussing the laws and systems for intelligent information society, where artificial intelligence plays a key role. At some point it may be too late to cope with singularity. Of course, it is not easy to predict how artificial intelligence will change our society. However, there are concerns on what kind of relationship should humans build with AI in the intelligent information society where algorithms rule the world or at least support decision making of humans. What is obvious is that humans dominating AI or ruling out AI will not be the answer. Discussions for legal framework to respond to the AI-based intelligent information society needs to be achieved to a level that replaces the current human-based legal framework with AI. This is because legal improvement caused by the paradigm shift to the intelligent information society may assume emergence of new players-AI, robots, and objects-and even their subjectivation.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.393-399
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• 2018

The development of unmanned AI continues, and the development of AI unmanned is aimed at more efficiently, accurately, and speedily the work that has been resolved by manpower such as industry, welfare, and manpower. AI unmanned technology is evolving in various places, and it is time to switch to unmanned systems from many industries and factories. We take this into consideration, and use the Deep Learning technology, which is one of the core technologies of artificial intelligence (AI), not the manpower but the fruits that pour the rails at once in a large orchard. We want to study the unmanned fruit sorting machine that can be operated under manager's supervision without dividing the fruit by type and grade and dividing by country of origin and grade. This unmanned automated classification system aims to reduce the labor cost by minimizing the manpower and to improve the