• Title/Summary/Keyword: 사회망분석

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A Study on Kidney Diseases Diagnosis System for Sensation Type Using Physiological Signal Analysis (생체 신호 분석을 이용한 감각형 신장 질환 진단 시스템 연구)

  • Cho, Dong-Uk;Kim, Bong-Hyun;Lee, Se-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.10C
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    • pp.964-972
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    • 2006
  • The kidney keeps with close relationship in the internal organs, that the kidney function filtering eliminate the wastes to the urine on the processing to replace the old with the new blood. In case of these problem in the kidney, there is no way to catch out with self-awakening symptom except for serious illness. This problem can solve with keeping the systematic diagnosis method in the kidney trouble shooting. Under the circumstances, the importance of the diagnosis for the kidney disease is growing day after day. In this paper, among the great four diagnosises, using the way of ocular inspection & auscultation, we would like to propose rouble shooting in the way of the kidney. To do this, through the assistance of the input image, extract the value of the color with appropriate output, analysing the color of the face with related to the kidney, using the results we would like to get the accurate symptoms on the kidney's problems. Also, through analysing and comparing with the relationship the kidney and the signal of voice, we would like to realize the proof system of human health. Finally, we'd like to make proof of the usefulness for proposed method from this study.

Research on Methods for Processing Nonstandard Korean Words on Social Network Services (소셜네트워크서비스에 활용할 비표준어 한글 처리 방법 연구)

  • Lee, Jong-Hwa;Le, Hoanh Su;Lee, Hyun-Kyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.3
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    • pp.35-46
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    • 2016
  • Social network services (SNS) that help to build relationship network and share a particular interest or activity freely according to their interests by posting comments, photos, videos,${\ldots}$ on online communities such as blogs have adopted and developed widely as a social phenomenon. Several researches have been done to explore the pattern and valuable information in social networks data via text mining such as opinion mining and semantic analysis. For improving the efficiency of text mining, keyword-based approach have been applied but most of researchers argued the limitations of the rules of Korean orthography. This research aims to construct a database of non-standard Korean words which are difficulty in data mining such abbreviations, slangs, strange expressions, emoticons in order to improve the limitations in keyword-based text mining techniques. Based on the study of subjective opinions about specific topics on blogs, this research extracted non-standard words that were found useful in text mining process.

Response Characteristics of Site-specific using Aftershock Event (여진을 통해 살펴본 대상구간의 응답특성)

  • Ahn, Jae-Kwang;Cho, Seongheum;Jeon, Young-Soo;Lee, Duk Kee
    • Journal of the Korean Geotechnical Society
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    • v.34 no.8
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    • pp.51-64
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    • 2018
  • Korean peninsula is known to be far from the plate boundary and not to generate large-scale earthquakes. However, earthquakes recently occurred in Gyeongju (2016/09/12, $M_L=5.8$) and Pohang (2017/11/15, $M_L=5.4$). The interest in earthquake engineering has increased, and various studies are actively underway by recently events. However, the seismic station network in Korea is less dense than that of the western U.S., resulting in the lack of data for detailed analyses of earthquakes. Therefore, KMA (Korea Meteorological Administration) set up temporary seismic stations and recorded ground motions from aftershocks. In this study, characteristics of Pohang seismic propagation and generation of bedrock motion are analyzed through the aftershock ground motion records at both permanent and temporary stations, as well as through the collected geological structure and site information. As a result, the response at Mangcheon-Li shows evidences of basin effects from both geology structures and measured aftershock motions.

A Study on The Demand Management for Determination of Freeway Toll System (고속도로 통행요금체계 결정을 위한 수요관리방안 연구)

  • 권용석
    • Journal of Korean Society of Transportation
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    • v.21 no.3
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    • pp.7-14
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    • 2003
  • Statistics shows that 80% of freeway users travel less than 50km, and only 8% of them do over 100km. It means that the freeway is used for commuting. As a result, the freeway is not used efficiently and social cost is high. The current toll system aims for the efficient usage of the freeway by restraining short-distance trips and inducing long-distance ones. Thus, policies such as minimum toll system and discount for long-distance trips have been carried out. However. these two policies take no account of demand management between the freeway and alternative roads. They merely consider the compensation for charge on users, so the assessment of discount rate and distinction of distance are not reasonable. Consequently, not only the effective demand management but also the evaluation of those policies has been difficult to be achieved. The objective of this paper is to analyze those problematic policies and to establish a reasonable and improved toll system. In addition, this study presents the methodology to minimize social cost, which can be achieved by reducing short trips and encouraging long ones on the freeway. A new methodology of freeway toll system is applied and the results are presented.

A study on research trends for gestational diabetes mellitus and breastfeeding: Focusing on text network analysis and topic modeling (임신성 당뇨와 모유수유에 대한 연구 동향 분석: 텍스트네트워크 분석과 토픽모델링 중심)

  • Lee, Junglim;Kim, Youngji;Kwak, Eunju;Park, Seungmi
    • The Journal of Korean Academic Society of Nursing Education
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    • v.27 no.2
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    • pp.175-185
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    • 2021
  • Purpose: The aim of this study was to identify core keywords and topic groups in the 'Gestational diabetes mellitus (GDM) and Breastfeeding' field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', 'fetus', 'hypoglycemia', 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were 'cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: 'cardiovascular disease', 'obesity', 'complication prevention strategy', 'support of breastfeeding', 'educational program' and 'management of GDM'. Conclusion: This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.

A Study of Patch Antenna for 6GHz (6GHz 대역용 패치 안테나 연구)

  • Yong-Wook, Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1063-1068
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    • 2022
  • The modern society has become entry into the information age after the spread of Internet. In the information age, internet was developed from the wired access to the wireless Internet access. When a surge in demand for wireless Internet access, performance and speed of 2.4 and 5GHz band for Wi-Fi which leads to saturation of the communication was significantly fall. Accordingly, the communication of the 6GHz band for Wi-Fi 6E came to be interested. In this paper, we studied the design and fabrication of microstrip patch antenna to be used in wireless communication systems operating at around 6GHz band. To obtain antenna parameters such as patch size, inter patch space, antenna was simulated by HFSS(High Frequency Structure Simulator). From these parameters, slot microstrip patch antenna is fabricated using FR-4 of dielectric constant 4.4. The characteristics of fabricated patch type microstrip antenna were analyzed by network analyzer.

Analysis NPS Run-off Characteristics During Rainfall Event in upper Han-river Nae-Rin Cheon watershed (한강 상류 내린천 유역의 강우시 비점오염물질 유출특성 분석)

  • KI Cheol Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.471-471
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    • 2023
  • 소양댐 상류 유역에 위치한 고랭지 밭에서 강우시 많은 양의 탁수가 유입되고 있어 상·하류지역사회에 갈등을 유발하고 하천 환경오염의 주범으로 지목되었다. 이에 환경부는 2007년부터 꾸준히 소양호 유역을 비점오염원 관리지역으로 지정하여 다양한 노력을 기울여왔으나 여전히 소양강 상류 수계의 강우시 흙탕물 발생이 지속적으로 문제가 되고 있다. 특히 고랭지 농업이 활발한 자운지구의 경우 고랭지 밭 경작 이외에도 나대지 상태로 방치되거나, 절삭지 보호가 제대로 이루어지지 않는 등 여러 가지 문제로 토사유출이 심각하게 발생하고 있어 흙탕물 관리가 필요한 실정이다. 이에 본 연구에서는 자운지구를 포함한 내린천 유역을 대상으로 강우유출수 모니터링을 수행하였으며, 모니터링 결과를 바탕으로 강우시 비점오염물질 유출 특성을 분석하였다. 강우유출수 모니터링은 2022년 3월부터 10월 중 총 5회를 수행하였으며, 내린천 유역 내 유량 측정망이 설치되어 있는 4개지점(양지교, 현리교, 하죽천교, 원대교)과 내린천 상류 2개지점(에코빌리지, 새터교) 총 6개 지점에서 강우유출수 모니터링을 실시하였다. 분석된 자료를 바탕으로 각 소유역별 EMC, 오염부하, 단위면적당 오염부하를 산정한 결과 하죽천교와 원대교의 단위면적 당 오염부하가 높게 나타났다. 이는 해당 소유역(내린천 하류)에서 발생한 강우강도가 상류에 비해 높았으며, 하죽천교는 유역내 농경지의 비율이 높고, 원대교는 가파른 경사도의 영향이 큰 것으로 판단된다. 또한, 하죽천교와 원대교 소유역에서 배출된느 흙탕물이 내린천 유역의 하천수질 오염에 상당한 기여를 하고 있는 것으로 나타났으며, 오염 우심 소유역에서 발생하는 흙탕물 저감을 위한 적절한 대책이 마련되어야 할 것으로 판단된다. 본 연구 결과와 같이 장기적인 모니터링을 통해 내린천 유역의 흙탕물 저감 대책 수립을 위한 기초자료로 활용할 수 있을 것으로 기대된다.

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A Study on the Perception of Artificial Intelligence Literacy and Artificial Intelligence Convergence Education Using Text Mining Analysis Techniques (텍스트 마이닝 분석기법을 활용한 인공지능 리터러시 및 인공지능 융합 교육에 관한 인식 연구)

  • Hyeok Yun;Jeongrang Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.553-566
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    • 2022
  • This study collects social data and academic research data from portal sites and RISS, and analyzes TF-IDF, N-Gram, semantic network analysis, and CONCOR analysis to analyze the social awareness and current aspects of 'AI Literacy' and 'AI Convergence Education'. Through this, we tried to understand the social awareness aspect and the current situation, and to suggest implications and directions. In the social data, the collection of 'AI Convergence Education' was more than twice that of 'AI Literacy', indicating that awareness of 'AI Literacy' was relatively low. In 'AI Literacy', the keyword 'human' in social data showed no cluster to which it belonged, indicating a lack of philosophical interest in and awareness of humanities and AI. In addition, the keyword 'Ministry of Education' showed high frequency, importance, and centrality of connection only in the social data of 'AI convergence education', confirming that 'AI convergence education' is closely related to government policy.

A Study on The Characteristics of U-slot Microstrip Antenna (U-slot형 마이크로스트립 안테나 특성 연구)

  • Yong-Wook Park
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.25-30
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    • 2024
  • The modern society has become full-fledged entry into the information age since spread of Internet. In the information age, internet was developed from the wired access to the wireless Internet access. When a surge in demand for wireless Internet access, efficiency and performance of 2.4GHz band which leads to saturation of the communication was significantly fall. Accordingly, the communication of the 5GHz band came to be interested. In this paper, we studied the design and fabrication of u-slot microstrip patch antenna to be used in wireless communication systems operating at around 5GHz band. To obtain antenna parameters such as patch size, inter patch space, antenna was simulated by HFSS(High Frequency Structure Simulator). From these parameters, u-slot microstrip antenna is fabricated using FR-4 substrate of dielectric constant 4.4. The characteristics of fabricated antenna were analyzed by network analyzer.

Literature Review of AI Hallucination Research Since the Advent of ChatGPT: Focusing on Papers from arXiv (챗GPT 등장 이후 인공지능 환각 연구의 문헌 검토: 아카이브(arXiv)의 논문을 중심으로)

  • Park, Dae-Min;Lee, Han-Jong
    • Informatization Policy
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    • v.31 no.2
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    • pp.3-38
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    • 2024
  • Hallucination is a significant barrier to the utilization of large-scale language models or multimodal models. In this study, we collected 654 computer science papers with "hallucination" in the abstract from arXiv from December 2022 to January 2024 following the advent of Chat GPT and conducted frequency analysis, knowledge network analysis, and literature review to explore the latest trends in hallucination research. The results showed that research in the fields of "Computation and Language," "Artificial Intelligence," "Computer Vision and Pattern Recognition," and "Machine Learning" were active. We then analyzed the research trends in the four major fields by focusing on the main authors and dividing them into data, hallucination detection, and hallucination mitigation. The main research trends included hallucination mitigation through supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), inference enhancement via "chain of thought" (CoT), and growing interest in hallucination mitigation within the domain of multimodal AI. This study provides insights into the latest developments in hallucination research through a technology-oriented literature review. This study is expected to help subsequent research in both engineering and humanities and social sciences fields by understanding the latest trends in hallucination research.