• Title/Summary/Keyword: AI-용해도

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Efficacy analysis for the AI-based Scientific Border Security System based on Radar : focusing on the results of bad weather experiments (레이더 기반 AI 과학화 경계시스템의 효과분석 : 악천후 시 실험 결과를 중심으로)

  • Hochan Lee;Kyuyong Shin;Minam Moon;Seunghyun Gwak
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.85-94
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    • 2023
  • In the face of the serious security situation with the increasing threat from North Korea, Korean Army is pursuing a reduction in troops through the performance improvement project of the GOP science-based border security system, which utilizes advanced technology. In order for the GOP science-based border security system to be an effective alternative to the decrease in military resources due to the population decline, it must guarantee a high detection and identification rate and minimize troop intervention by dramatically improving the false detection rate. Recently introduced in Korean Army, the GOP science-based border security system is known to ensure a relatively high detection and identification rate in good weather conditions, but its performance in harsh weather conditions such as rain and fog is somewhat lacking. As an alternative to overcoming this, a radar-based border security system that can detect objects even in bad weather has been proposed. This paper proves the effectiveness of the AI-based scientific border security system based on radar that is being currently tested at the 00th Division through the 2021 Rapid Acquisition Program, and suggests the direction of development for the GOP scientific border security system.

Design of Education Service for 1:1 Customized Elderly SmartPhone using Generative AI applicable in Local Governments (지자체에서 활용할 수 있는 생성형 AI를 이용한 1:1 맞춤형 노인 스마트폰 교육 서비스 설계)

  • Min-Young Chu;Yean-Woo Park;Soo-Jin Heo;Seung-Hyeon Noh;Won-Whoi Huh
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.133-139
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    • 2024
  • In response to the challenges posed by a super-aged society, local authorities are conducting educational programs on smartphone usage tailored for the elderly. However, obstacles such as the limitations of one-to-many education and suboptimal learning outcomes for the elderly have hindered the efficacy of smartphone education. This study suggests an educational service intended for direct application in offline settings, considering the identified problems. Through the utilization of generative AI, the proposed app identifies specific challenges encountered by users during actual smartphone use, offering personalized exercises to facilitate customized and repetitive learning experiences for individual users. When integrated with existing local government education initiatives, this app is anticipated to enhance the efficiency of smartphone education by providing personalized, one-on-one training that is efficient in terms of time and content.

Development of 1:1 customized Smartphone Education Application for the Elderly using Generative AI (생성형 AI를 활용한 1:1 맞춤형 노인 스마트폰 교육 어플리케이션 개발)

  • Min-Young Chu;Yeon-Woo Park;Seung-Hyeon Noh;Soo-Jin Heo;Won-Whoi Huh
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.4
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    • pp.15-20
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    • 2024
  • Local governments are conducting smartphone usage training for the elderly to bridge the information gap caused by a super-aged society. However, the one-to-many educational approach has limitations, and the elderly face difficulties due to insufficient learning effectiveness. This study proposes an educational service that can be used in offline training settings, considering an environment where the elderly can repeatedly learn to address these issues. This service utilizes generative AI to identify the parts that users find challenging and provides personalized problems for individualized practice. Integrating this app with existing local government training programs is expected to significantly enhance the efficiency of smartphone education in terms of personalized 1:1 training, time management, and the appropriateness of educational content.

Characteristics of Generated Voltage by Temperature Change of Electrical, Elecrtronic and Industrial MIM Element Using LB Ultra Thin Film (LB 초박막을 이용한 전지전자 공업용 MIM소자의 온도변화에 의한 발생전압 특성)

  • 김병인;국상훈
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.11 no.3
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    • pp.80-87
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    • 1997
  • As a result of experimenting the temperature characteristics of origination voltage in Al/$AL_1,O_3/PI (nL)/Au, the sample of polyimide LB film and AI/$AL_1,O_3/Cls TCNQ(lOL)/Al, the difference of work function is found between upper and lower electrodes. If polyimide LB film is accumulated with Z type or becomes imide, the polarization of the film is not made. And AI/$AL_2,O_3/C-{15}TCNQ( IOL)/ AI which is the CI5 TCNQ LB film sample doesn't show the difference of work function because it has the same upper and lower electrode and the polarization is found on the film. As a result of experiment with MIM element of LB ultra thin film, Direct current more than hun¬dreds of m V is generated and it can be used for industrial power resources in the area of electricity, electronics and information communication.

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Studies on Correlation Among Sperm Characteristics, Farrowing Rates by AI and Chromatin Structure in Boars (돼지에서 정액 성상 및 인공수정 분만율과 염색질 구조 분석(SCSA)과의 상관관계에 관한 연구)

  • 유재원;김인철;이장희;조규호;지달영;이주형;김일;이종완;윤희진;방명걸;류범용;정영채;김창근
    • Journal of Animal Science and Technology
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    • v.48 no.6
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    • pp.777-784
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    • 2006
  • This study was designed to investigate between the semen characteristics and sperm chromatin structure in boar with different farrowing rates and relationship between fertility by AI and results of sperm chromatin structure assay (SCSA). The CASA (computer-aided sperm analysis) and SCSA were performed with liquid semen in boars. The all SCSA parameters based on the farrowing rates by AI were significantly differ (P<0.05). The significant negative correlations (P<0.05) were observed between all SCSA parameters and farrowing rate obtained by AI in the field. In conclusion, these results suggest that the sperm parameters evaluated in these studies may be useful indicators to predict the fertility by AI.

Effects of Additives on the Characteristics of Sodium Borosilicate Thin Film Fabricated by AFD Method (첨가제가 AFD법에 의해 제조된 광소자용 Sodium Borosilicate 박막의 물성에 미치는 영향)

  • Chung, Hyung-Gon;Chun, Young-Yun;Mun, Jong-Ha;Chung, Suck-Jong;Lee, Hyung-Jong
    • Korean Journal of Materials Research
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    • v.8 no.8
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    • pp.693-698
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    • 1998
  • The effects of $AI_{2}$$O_{3}$ and the ratio of $Na_2O/B_2O_3$ on the phase separation and optical properties of sodium borosilicate glass film fabricated by AFD(Aerosol Flame Deposition) were investigated. When AI,O, of 6wt% was added to $66SiO_2-27B_2O_3-7Na_2O$ the clear glass film without any crystallization was produced under air-quenching condition after consolidation. As the amount of $AI_{2}$$O_{3}$ increased from 1.5 to 6.0 wt% the refractive index linearly increased from 1.4610 to 1.4701, and the difference of TE and TM mode causing by residual stress in film increased gradually. However, the difference of TE and TM mode to reveal birefringence could be minimized by annealing below the glass transition temperature after consolidation and air quenching. On the other hand. as the ratio of $Na_2O/B_2O_3$ increased the refractive index and birefringence of glass film tended to increase, but the measurement of their values were not available at over the critical ratio of $Na_2O/B_2O_3$, because of the cloudiness due to crystallization. The phase separation was greatly accelerated with increasing the ratio of $Na_2O/B_2O_3$.

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Establishment of Control System of Weedy Rice(Oryza sativa) and Barnyardgrass(Echinochloa crus-galli) in Direct-seeded Rice - I. Effect of Oxadiazon, Molinate, Thiobencarb on Control of Red Rice and Barnyardgrass in Water-seeded Rice (벼 직파재배에 있어서 잡초성벼 및 피 방제체계 확립에 관한 연구 - I. 담수표면산파 재배시 앵미와 피에 대한 oxadiazon, molinate, thiobencarb의 파종전 처리 효과)

  • Ryang, H.S.;Kim, J.K.;Kyoung, E.S.;Kim, J.S.;Ma, S.Y.
    • Korean Journal of Weed Science
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    • v.18 no.2
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    • pp.106-115
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    • 1998
  • This study was conducted to investigate the effect of oxadiazon, molinate, thiobencarb before seeding on control of red rice and barnyardgrass in water-seeded rice. High application rate plot among oxadiazon treatment plots could observe phytotoxicity symptoms depending on field conditions, but these injury recovered gradually with time. Molinate and thiobencarb application plots at the concentration of 225~400, 210~420g ai/l0a respectively were not observed phytotoxicity. Control of red rice was different according to kinds of herbicides and application rates. Oxadiazon showed higher control performance at the concentration of more than 60g ai/10a. Control effect of molinate and thiobencarb against red rice was enhanced with the increase of application rate, and both herbicides showed satisfactory effect at more than 300g ai/10a. Control of barnyardgrass showed up to 90~100% in all tested herbicides. There was no significant yield reduction by oxadiazon, molinate, and thiobencarb application before seeding in all tested field. In the pot experiment, crop injury, seedling stand, and early growth were more advantageous at time of drainge after one day after seeding than flooding until rooting.

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A Study on AI Algorithm that can be used to Arts Exhibition : Focusing on the Development and Evaluation of the Chatbot Model (예술 전시에 활용 가능한 AI 알고리즘 연구 : 챗봇 모델 개발 및 평가를 중심으로)

  • Choi, Hak-Hyeon;Yoon, Mi-Ra
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.369-381
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    • 2021
  • Artificial Intelligence(AI) technology can be used in arts exhibitions ranging from planning exhibitions, filed progress, and evaluation. AI has been expanded its scope from planning exhibition and guidance services to tools for creating arts. This paper focuses on chatbots that utilize exhibition and AI technology convergence to provide information and services. To study more specifically, I developed a chatbot for exhibition services using the Naver Clova chatbot tool and information from the National Museum of Modern and Contemporary Art(MMCA), Korea. In this study, information was limited to viewing and exhibition rather than all information of the MMCA, and the chatbot was developed which provides a scenario type to get an answering user want to gain through a button and a text question and answer(Q&A) type to directly input a question. As a result of evaluating the chatbot with six items according to ELIZA's chatbot evaluation scale, a score of 4.2 out of 5 was derived by completing the development of a chatbot to be used to deliver viewing and exhibition information. The future research task is to create a perfect chatbot model that can be used in an actual arts exhibition space by connecting the developed chatbot with continuous scenario answers, resolving text Q&A-type answer failures and errors, and expanding additional services.

Using Artificial Intelligence Software for Diagnosing Emphysema and Interstitial Lung Disease (폐기종 및 간질성 폐질환: 인공지능 소프트웨어 사용 경험)

  • Sang Hyun Paik;Gong Yong Jin
    • Journal of the Korean Society of Radiology
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    • v.85 no.4
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    • pp.714-726
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    • 2024
  • Researchers have developed various algorithms utilizing artificial intelligence (AI) to automatically and objectively diagnose patterns and extent of pulmonary emphysema or interstitial lung diseases on chest CT scans. Studies show that AI-based quantification of emphysema on chest CT scans reveals a connection between an increase in the relative percentage of emphysema and a decline in lung function. Notably, quantifying centrilobular emphysema has proven helpful in predicting clinical symptoms or mortality rates of chronic obstructive pulmonary disease. In the context of interstitial lung diseases, AI can classify the usual interstitial pneumonia pattern on CT scans into categories like normal, ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation. This classification accuracy is comparable to chest radiologists (70%-80%). However, the results generated by AI are influenced by factors such as scan parameters, reconstruction algorithms, radiation doses, and the training data used to develop the AI. These limitations currently restrict the widespread adoption of AI for quantifying pulmonary emphysema and interstitial lung diseases in daily clinical practice. This paper will showcase the authors' experience using AI for diagnosing and quantifying emphysema and interstitial lung diseases through case studies. We will primarily focus on the advantages and limitations of AI for these two diseases.

Synthesis of Aluminum Sulfate from Kaolin and Its Thermal Decomposition (카올린으로부터 알루미늄황산염의 합성 및 열분해)

  • Park, Seong-Su;Gang, Hyo-Gyeong;Park, Hong-Chae;Park, Hui-Chan
    • Korean Journal of Materials Research
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    • v.8 no.2
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    • pp.126-130
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    • 1998
  • Aluminum sulfate, $AI_{2}(SO_4)_3\cdot18H_2O$ was prepared by adding of kaolin-dissolved sulphuric acid into ethanol and its thermal decomposition behavior was discussed. As-synthesized high purity precipitate particles were platelike shapes of $2\mu\textrm{m}$ size. With increasing drop rate of leach liquor into ethanol, the crystallite sizes of the precipitate decreased. The apparent activation energies for dehydration and sulfate decomposition of the precipitate were $11.9Kcal mol^{-1}$ and $48.2kcal mol^{-1}$ respectively.

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