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Technical Trends in Artificial Intelligence for Robotics Based on Large Language Models (거대언어모델 기반 로봇 인공지능 기술 동향 )

  • J. Lee;S. Park;N.W. Kim;E. Kim;S.K. Ko
    • Electronics and Telecommunications Trends
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    • v.39 no.1
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    • pp.95-105
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    • 2024
  • In natural language processing, large language models such as GPT-4 have recently been in the spotlight. The performance of natural language processing has advanced dramatically driven by an increase in the number of model parameters related to the number of acceptable input tokens and model size. Research on multimodal models that can simultaneously process natural language and image data is being actively conducted. Moreover, natural-language and image-based reasoning capabilities of large language models is being explored in robot artificial intelligence technology. We discuss research and related patent trends in robot task planning and code generation for robot control using large language models.

Development of the Light Guide Lamp for Lighting Image Enhancement Using Retro Reflection Principle (재귀반사 원리를 이용한 점등이미지 향상 LIGHT GUIDE 개발)

  • Kim, Hyeongseon;Choi, Sungwuk;Jin, Gunsoo
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.4
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    • pp.16-21
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    • 2019
  • In recent years, most automobile manufacturers have been using slim light source images to imprint their own brand image and identity. A light guide type lamp is widely used for making these kinds of a slim light source image. A light guide lamp means using a light emitting diode light source at one end of a long cylindrical pipe. The light from the light emitting diode source moves through the pipe by total reflection principle. Moving light is sent forward by various optic structures which is applied in the cylindrical pipe. However, the light guide lamp has a problem that the image of the light differs depending on the viewing direction, and in some cases there is dark section. It means light guide has low quality about lighting image. In this paper, trying to improve the fundamental problems of the light guide mentioned above by using various triz methods. Through functional modeling, estimating the factors affecting the light in the light guide lamp and make various ideas to improve the lighting image using the chain effect cause analysis, function oriented search scientific database techniques. Using these kinds of various TRIZ methods, finally find solutions that can improve the brightness and lighting uniformity of the light guide lamp. The ideas obtained in this paper were applied to actual vehicle development, and several patents achievements were obtained. In conclusion, it is proved that TRIZ method is useful for making ideas in actual automobile industrial field and is also a useful method for acquiring patent.

A Simulation Study on the Transfer Characteristics of the Talbot Pattern Through Scintillation Screens in the Grating Interferometer (격자 간섭계에서 탈봇 패턴의 섬광체 스크린 투과 시 전달 특성에 대한 시뮬레이션 연구)

  • Kim, Daeseung;Kim, Youngju;Lee, Seho;Lee, Seung Wook
    • Journal of radiological science and technology
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    • v.42 no.1
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    • pp.67-75
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    • 2019
  • Grating interferometry based imaging technology is a kind of radiation imaging system, which can acquire not only absorption image but also phase difference and dark field image using the Talbot pattern. However, because of the technological difficulties and high cost of fabricating the gratings that make up the system, much efforts are being made to look for ways to replace them. The is a preliminary study to see how the Talbot pattern transfer through various kinds of scintillators and if the optical grating can be a way to replace the conventional absorption gratings. The geometry of the interferometer, the scintillator model, and the scintillator thickness are the main inputs for our simulation. We have used the concept of modulation for quantitative analysis of the contrast ratio of the Talbot pattern. This research is expected to provide very useful information on the design of optical gratings, which is an alternative way to analyze the Talbot pattern, which we have filed a patent on.

Technology Convergence Map Creation and Country Profile Analysis in the Field of Artificial Intelligence (인공지능 분야의 기술융합맵 생성 및 국가 프로파일 분석)

  • Kim, Hyun-Woo;Noh, Kyung-Ran;Ahn, Sejung;Kwon, Oh-Jin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.1
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    • pp.139-146
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    • 2017
  • The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

Weighted Approximate Matching for Character-based Similar Trademark Retrieval (문자기반 유사상표 검색을 위한 가중치 부여 근사매칭)

  • Suh, Chang-Duck;Kim, Whoi-Yul
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.37 no.1
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    • pp.43-54
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    • 2000
  • Character-based trademarks constitute 90% of registered trademarks at the Korean Patent Office. This paper proposes a method to improve the precision rate when for similar trademarks in such systems. The proposed method first calculates the similarity measure by an image processing. The method has been implemented and merged with the existing device-mark retrieval system to improve precision rate by 16.2% compared to other approximate matching methods.

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An Integrated Database and Web Service for Microbial Resources at KACC

  • Kim, Chang-Kug;Jeon, Young-Ah;Cho, Gyu-Taek;Kwon, Soon-Wo;Kim, Yong-Hwan;Hong, Seung-Beom
    • Genomics & Informatics
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    • v.7 no.1
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    • pp.41-45
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    • 2009
  • The Korean Agricultural Culture Collection (KACC) has developed a web-based system to provide an integrated database with information updates about microbial resources. This integrated database consists of 5 major functions and contains general information, which includes identification numbers, culture media composition, image information, DNA sequences, patent information, and general forms for ordering and depositing microorganisms. In 2008, KACC started providing characterization information. KACC maintains 9,801 cultures of microorganisms, including 3,296 strains of bacteria, 4,734 fungi, 784 actinomycetes, 64 yeasts, and 923 others.

Analysis of Generative AI Technology Trends Based on Patent Data (특허 데이터 기반 생성형 AI 기술 동향 분석)

  • Seongmu Ryu;Taewon Song;Minjeong Lee;Yoonju Choi;Soonuk Seol
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.1
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    • pp.1-9
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    • 2024
  • This paper analyzes the trends in generative AI technology based on patent application documents. To achieve this, we selected 5,433 generative AI-related patents filed in South Korea, the United States, and Europe from 2003 to 2023, and analyzed the data by country, technology category, year, and applicant, presenting it visually to find insights and understand the flow of technology. The analysis shows that patents in the image category account for 36.9%, the largest share, with a continuous increase in filings, while filings in the text/document and music/speech categories have either decreased or remained stable since 2019. Although the company with the highest number of filings is a South Korean company, four out of the top five filers are U.S. companies, and all companies have filed the majority of their patents in the U.S., indicating that generative AI is growing and competing centered around the U.S. market. The findings of this paper are expected to be useful for future research and development in generative AI, as well as for formulating strategies for acquiring intellectual property.

Remote Control Apparatus and Display Remote Control System Comprising the Same (원격 제어 장치 및 이를 포함하는 디스플레이 원격 제어 시스템)

  • Yoon, Yeo-Jun;Park, Dea-Woo
    • KSCI Review
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    • v.14 no.2
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    • pp.165-174
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    • 2006
  • This paper is a matter of remote control apparatus and display remote control system comprising the same. The remote controller is a wireless remote pointing device that is included a function of mouse and a function of remote controller for VOD etc. It is assembled a sending signal part to communicate with display device, a image sensor part to capture a seen of front view and a main body. Also, it includes a control part that analyzes the captured image, calculates a relative moving factor that main body is moved by user, and then controls the mouse cursor on the display device. The remote control apparatus is able to capture a seen of front view, to analyze the captured image, and to move a mouse cursor point on the display device as much as it calculated relative moving factor. Therefor it brings down the cost of production by a product design that is increased user satisfaction. And it, using the patent and the new product design, will make an epoch in development of the remote control system for Ubiquitous broadcasting industry.

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Remote Control Apparatus and Display Remote Control System Comprising the Same (원격 제어 장치 및 이를 포함하는 디스플레이 원격 제어 시스템)

  • Yoon, Yeo-Jun;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.2 s.46
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    • pp.161-170
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    • 2007
  • This paper is a matter of remote control apparatus and display remote control system comprising the same. The remote controller is a wireless remote pointing device that is included a function of mouse and a function of remote controller for VOD etc. It is assembled a sending signal part to communicate with display device, a image sensor part to capture a scene of front view and a main body. Also, it includes a control part that analyzes the captured image, calculates a relative moving factor that main body is moved by user, and then controls the mouse cursor on the display device. The remote control apparatus is able to capture a seen of front view, to analyze the captured image, and to move a mouse cursor point on the display device as much as it calculated relative moving factor. Therefor it brings don the cost of production by a product desist that is increased user satisfaction. And it, using the patent and the new product desist, will make an epoch in development of the remote control system for Ubiquitous broadcasting industry.

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A Study on Similar Trademark Search Model Using Convolutional Neural Networks (합성곱 신경망(Convolutional Neural Network)을 활용한 지능형 유사상표 검색 모형 개발)

  • Yoon, Jae-Woong;Lee, Suk-Jun;Song, Chil-Yong;Kim, Yeon-Sik;Jung, Mi-Young;Jeong, Sang-Il
    • Management & Information Systems Review
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    • v.38 no.3
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    • pp.55-80
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    • 2019
  • Recently, many companies improving their management performance by building a powerful brand value which is recognized for trademark rights. However, as growing up the size of online commerce market, the infringement of trademark rights is increasing. According to various studies and reports, cases of foreign and domestic companies infringing on their trademark rights are increased. As the manpower and the cost required for the protection of trademark are enormous, small and medium enterprises(SMEs) could not conduct preliminary investigations to protect their trademark rights. Besides, due to the trademark image search service does not exist, many domestic companies have a problem that investigating huge amounts of trademarks manually when conducting preliminary investigations to protect their rights of trademark. Therefore, we develop an intelligent similar trademark search model to reduce the manpower and cost for preliminary investigation. To measure the performance of the model which is developed in this study, test data selected by intellectual property experts was used, and the performance of ResNet V1 101 was the highest. The significance of this study is as follows. The experimental results empirically demonstrate that the image classification algorithm shows high performance not only object recognition but also image retrieval. Since the model that developed in this study was learned through actual trademark image data, it is expected that it can be applied in the real industrial environment.