• Title/Summary/Keyword: technical processing

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A Study on the Importance Classification of Semiconductor Technical Documents Using Knowledge Graphs and Embedding Models (임베딩 모델과 지식맵 분석을 활용한 반도체 기술문서 중요도 분류에 관한 연구)

  • Hong, Giwan;Chang, Hangbae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.288-289
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    • 2021
  • 4차산업혁명과 함께 기존 산업구조가 급속하게 변화하고 기술패권주의가 심화되면서, 기술 패권의 승패에 따라 국가의 글로벌 경쟁력이 크게 좌우된다. 세계 주요국들은 기술경쟁력 확보를 위해 기술혁신과 기술연대의 경쟁을 벌이고 있고, 우리나라도 이러한 동향 속에서 적극적인 R&D 연구 투자와 정책적 지원을 통해 미래 산업 분야의 기술경쟁력 확보를 위해 노력하고 있다. 현재 중국에 의한 기술 탈취나 인력 유출이 발생하고 있고, 이는 산업경쟁력 상실로 이어져 막대한 경제적 피해를 야기할 수 있다. 기술경쟁력을 잃지 않기 위해, 반드시 우리의 산업기술 보호 수단도 마련되어야 한다. 선제적으로 중요한 산업기술을 적절히 식별하여 중요도에 따라 보호수단을 이행하는 것이 산업기술 보호의 시작일 것이다. 이에 따라, 본 논문에서는 지식그래프와 임베딩 모델을 활용하여 우리나라의 핵심산업분야 중 하나인 반도체 분야의 기술문서를 중요도에 따라 수직적으로 분류할 수 있는 방안에 대해 연구하고자 한다.

Design of Intelligent Transportation Control System Based on Blockchain Technology

  • Xia, Wei
    • Journal of Information Processing Systems
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    • v.18 no.6
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    • pp.763-769
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    • 2022
  • Transportation allocation requires information such as storage location and order information. In order to guarantee the safe transmission and real-time sharing of information in all links, an intelligent transportation control system based on blockchain technology is designed. Firstly, the technical architecture of intelligent transportation information traceability blockchain and the overall architecture of intelligent transportation control system were designed. Secondly, the transportation management demand module and storage demand management module were designed, and the control process of each module was given. Then, the type of intelligent transportation vehicle was defined, the objective function of intelligent transportation control was designed, and the objective function of intelligent transportation control was constructed. Finally, the intelligent transportation control was realized by genetic algorithm. It was found that when the transportation order volume was 50×103, and the CPU occupancy of the designed system was only 11.8%. The reliability attenuation of the code deletion scheme was lower, indicating better performance of the designed system.

Image Enhancement Algorithm and its Application in Image Defogging

  • Jun Cao
    • Journal of Information Processing Systems
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    • v.19 no.4
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    • pp.465-473
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    • 2023
  • An image enhancement algorithm and image defogging method are studied in this paper. The formation of fog and the characteristics of fog image are analyzed, and the fog image is preprocessed by histogram equalization method; then the additive white noise is removed by foggy image attenuation model, the atmospheric scattering physical model is constructed, the image detail characteristics are enhanced by image enhancement method, and the visual effect of defogging image is enhanced by guided filtering method. The proposed method has a good defogging effect on the image. When the number of training iterations is 3,000, the peak signal-to-noise ratio of the proposed method is 43.29 dB and the image structure similarity is 0.9616, indicating excellent image defogging effect.

Optimized Technical Analysis Indicators and Genetic Algorithm-based Trading Strategies for the Korean Financial Market (한국 금융시장 특성에 최적화된 기술 분석 지표와 유전 알고리즘을 활용한 주식 거래 전략 개발)

  • Tae-Hoon Lee;Han-Beot Park;Hoon-Hee Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.599-600
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    • 2023
  • 본 연구는 한국 주식 시장인 KRX 데이터에 중점을 둔 투자 전략의 최적화를 목표로 하였다. 전통적인 기술 분석 방법은 투자자들의 경험에 의존하여 파라미터를 선택하였다. 하지만 이 연구에서는 기존의 경험에 기반한 파라미터 선택 대신 유전 알고리즘을 사용하여 파라미터를 최적화했다. 결과적으로, 이 전략은 상승장과 하락장 모두에서 buy-and-hold 전략보다 더 나은 성과를 보였다. 이는 기술 분석의 파라미터 최적화의 중요성을 강조하며, 더 효과적인 투자 전략 개발의 가능성을 보여준다.

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.

Analysis of Technical Limitation in Psychological Counseling Service Using AI Chatbot Technology (AI 챗봇 기술을 활용한 심리상담 서비스의 기술적 한계점 분석)

  • Hye-In Lee;Hyun-Che Song;Il-Gu Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.875-877
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    • 2024
  • AI 기술의 발전으로 상담 및 심리치료 분야에서도 인공지능을 활용하려는 움직임이 활발해지고 있다. 정신건강 지원에 대한 수요가 증가하면서 인공지능, 특히 챗봇을 활용한 심리상담은 효율성과 접근성 측면에서 많은 이점을 가지지만 한계점 또한 존재한다. 본 연구에서는 AI 챗봇을 활용한 상담 및 심리치료 서비스의 국내 현황과 기술적 측면에서의 한계점을 분석한다.

Status of meat alternatives and their potential role in the future meat market - A review

  • Lee, Hyun Jung;Yong, Hae In;Kim, Minsu;Choi, Yun-Sang;Jo, Cheorun
    • Asian-Australasian Journal of Animal Sciences
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    • v.33 no.10
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    • pp.1533-1543
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    • 2020
  • Plant-based meat analogues, edible insects, and cultured meat are promising major meat alternatives that can be used as protein sources in the future. It is also believed that the importance of meat alternatives will continue to increase because of concerns on limited sustainability of the traditional meat production system. The meat alternatives are expected to have different roles based on their different benefits and limitations. Plant-based meat analogues and edible insects can replace traditional meat as a good protein source from the perspective of nutritional value. Furthermore, plant-based meat can be made available to a wide range of consumers (e.g., as vegetarian or halal food products). However, despite ongoing technical developments, their palatability, including appearance, flavor, and texture, is still different from the consumers' standard established from livestock-based traditional meat. Meanwhile, cultured meat is the only method to produce actual animal muscle-based meat; therefore, the final product is more meat-like compared to other meat analogues. However, technical difficulties, especially in mass production and cost, remain before it can be commercialized. Nevertheless, these meat alternatives can be a part of our future protein sources while maintaining a complementary relationship with traditional meat.

Effect of Succinylation on Functional Properties of Aspergillus fumiagtus Cell Protein (숙시닐화가 Aspergillus fumiagtus 균체단백질의 기능적 특성에 미치는 영향)

  • Choi, Jong-Duck;Kim, Jeong-Gyun;Cho, Sung-Hwan
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.21 no.5
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    • pp.573-579
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    • 1992
  • The influence of succinylation on several functional properties of fungal protein (Aspergillus fumigatus) was investigated. Fungal protein was succinylated to 20.7 and 85.3% by addition of 2.5 and 10% succinic anhydride, respectively. Succinylated fungal protein decreased the absorbance at 260nm, nucleic acid and carbohydrate, but increased the proteinous nitrogen and protein extraction in fungal protein. Succinylation had an enhancing effect on the functional properties as much as the degree of it was increased. Oil retention of succinylated fungal protein was higher about from two to five times than those of milk casein. Nitrogen solubility of succinylated fungal protein was increased to 32 and 51% than that of milk casein and soy flour. Emulsifying activity and stability were increased in proportion to the succinylated degree of fungal protein. As the result of succinylation increase more than 80%, emulsifying activity increased about 8.4 times. In conclusion, succinylated fungal protein improved functional properties, compared with nonsuccinylated fungal protein, milk casein and soy flour.

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Study on the Big Data Platform Construction of Fisheries (수산업 빅데이터 플랫폼 구축 방안에 대한 연구)

  • Choi, Joowon;Jung, Jaewook;Kim, Youngae;Shin, Yongtae
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.8
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    • pp.181-188
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    • 2020
  • The fisheries industry is rapidly shifting from a traditional fishery to aquaculture paradigm and it faces various problems such as depletion of fishery resources and aging of fishing villages. We need the establishment of a fisheries big data platform that includes both the data of the central and surrounding industries of the fisheries industry for enhancement of establishment of a fisheries, 6th industrialization of fishing villages, establishment of related technical standards, and discovery of the new industries to overcome this. Data center agencies should collect, link, and pre-processing, and the platform organizer should create a water industry data virtuous circle through the establishment, operation, and data market of big data platforms to help overcome the current crisis, secure smart fisheries hegemony, and use it as a key to value transfer. Through this study, I would like to propose a policy and technical big data platform construction plan to successfully promote it.

Practical Algorithms on Lunar Reference Frame Transformations for Korea Pathfinder Lunar Orbiter Flight Operation

  • Song, Young-Joo;Lee, Donghun;Kim, Young-Rok;Bae, Jonghee;Park, Jae-ik;Hong, SeungBum;Kim, Dae-Kwan;Lee, Sang-Ryool
    • Journal of Astronomy and Space Sciences
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    • v.38 no.3
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    • pp.185-192
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    • 2021
  • This technical paper deals the practical transformation algorithms between several lunar reference frames which will be used for Korea pathfinder lunar orbiter (KPLO) flight operation. Despite of various lunar reference frame definitions already exist, use of a common transformation algorithm while establishing lunar reference frame is very important for all members related to KPLO mission. This is because use of slight different parameters during frame transformation may result significant misleading while reprocessing data based on KPLO flight dynamics. Therefore, details of practical transformation algorithms for the KPLO mission specific lunar reference frames is presented with step by step implementation procedures. Examples of transformation results are also presented to support KPLO flight dynamics data user community which is expected to give practical guidelines while post processing the data as their needs. With this technical paper, common understandings of reference frames that will be used throughout not only the KPLO flight operation but also science data reprocessing can be established. It is expected to eliminate, or at least minimize, unnecessary confusion among all of the KPLO mission members including: Korea Aerospace Research Institute (KARI), National Aeronautics and Space Administration (NASA) as well as other organizations participating in KPLO payload development and operation, or further lunar science community world-wide who are interested in KPLO science data post processing.