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양자컴퓨터 RnD 현황과 전망
No full text본 연구는 양자컴퓨터의 출현 배경이 된 고전 컴퓨터 관련 주요 이슈를 살펴보는 한편, 양자컴퓨터 개발을 둘러싸고 세계 주요 선진국이 주도권을 잡기 위해 노력하고 있는 양자컴퓨터의 핵심기술 개발 현황을 살펴보고 국내외 주요국들의 양자컴퓨터 관련 주요 정책 추진 현황, 주요 기업별 개발 동향과 향후 전망에 대해 살펴봄으로써 비용대비 효율적인 국가차원의 양자컴퓨터 정책을 수립하기 위한 시사점을 제시하고자 하였다
Low-Light Image Enhancement Based on Maximal Diffusion Values
No full textA vast amount of pictures are taken every day by using cameras mounted on various mobile devices. Even though the clarity of such acquired images has been significantly improved due to the advance of the image sensor technology, the visual quality is hardly guaranteed under varying illumination conditions. In this paper, a novel yet simple method for low-light image enhancement is proposed via the maximal diffusion value. The key idea of the proposed method is to estimate the illumination component, which is likely to appear as the bright pixel even under the low-light condition, by exploring multiple diffusion spaces. Specifically, the illumination component can be accurately separated from the scene reflectance by selecting the maximal value at each pixel position of those diffusion spaces, and thus independently adjusted for the visual quality enhancement. That is, we propose to adopt the maximal value among diffused intensities at each pixel position, so-called maximal diffusion value, as the illumination component since illumination components buried in the dark tend to be revealed with bright intensities through the iterative diffusion process. In contrast to previous approaches that still pose difficulties to balance between over-saturated and conservative restorations, the proposed method improves the image quality without any significant distortion while successfully suppressing the problem of noise amplification. Experimental results on benchmark datasets show the efficiency and robustness of the proposed method compared to previous approaches introduced in literature
제품혁신수준 분석을 위한 특허정보 기반 지표 개발
No full textAnalyzing the innovation level of a product is important in that it enables identification of the product"s promise and analysis of product development stage. Although there are existing studies to measure the innovation of the technology using various patent indicators, attempts to quantify the innovation level from the product point of view have been insufficient and have mainly relied on the qualitative evaluation of experts. In this study, we use product name and product-patent relation databases to define the product innovation as a combination of quantitative and qualitative progress of the analyzed product, analyze the innovation pattern of the product, and develop an index for product innovativeness analysis. As a result of analyzing 100 sample products, it was found that spiral development patterns appeared over time in the products with a certain number of related patents. This study can be used to determine the direction of future development of the products of interest by measuring their innovativeness with the proposed index
All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
No full textWe present the results of a search for short-duration gravitational-wave transients in the data from the second observing run of Advanced LIGO and Advanced Virgo. We search for gravitational-wave transients with a duration of milliseconds to approximately one second in the 32–4096 Hz frequency band with minimal assumptions about the signal properties, thus targeting a wide variety of sources. We also perform a matched-filter search for gravitational-wave transients from cosmic string cusps for which the waveform is well modeled. The unmodeled search detected gravitational waves from several binary black hole mergers which have been identified by previous analyses. No other significant events have been found by either the unmodeled search or the cosmic string search. We thus present the search sensitivities for a variety of signal waveforms and report upper limits on the source rate density as a function of the characteristic frequency of the signal. These upper limits are a factor of 3 lower than the first observing run, with a 50% detection probability for gravitational-wave emissions with energies of ∼10⁻⁹M⊙c² at 153 Hz. For the search dedicated to cosmic string cusps we consider several loop distribution models, and present updated constraints from the same search done in the first observing run
ASTI Market Insight 35: 전기자동차 충전소
No full text1. 세계 전기자동차 충전소 시장은 2020년 39억 9,900만 달러에서 2027년 493억 4,500만 달러로 연평균 48.6% 성장할 전망이다.
2. 전기자동차 보급이 급속히 확대됨에 따라 공공 부문 전기자동차 충전소 시장이 빠르게 성장하고 있으며, 공공 부문의 시장이 연평균 55.3% 성장하여 2027년에는 민간부분의 시장 규모를 추월할 전망이다.
3. 국내 전기자동차 충전기 시장은 전기자동차 충전소 보급이 확대됨에 따라 2025년까지 급속 충전기 12,000기, 완속 충전기 500,000기가 설치되어 연평균 57.5% 성장할 전망이다.
4. 전기자동차 충전소 구축을 통해 얻은 사용자 이용행태 데이터, 전력 부하에 따른 최적의 전력 사용 패턴을 복합적으로 분석할 수 있는 충전 플랫폼을 구축하고 무선 충전이 가능한 차세대 충전 서비스를 제공하는 등 시장을 확대하기 위한 전략 수립이 필요하다.
5. 무선충전 기술 수준을 향상시켜 전기자동차용 무선 충전 국제표준을 선점하기 위한 연구개발과 실증을 위한 국가차원의 적극적인 지원이 필요하다
ASTI MARKET INSIGHT 61: 체외진단 품질관리
No full text1. 체외진단 품질관리 분야는 2020년에 시작된 코로나로 비대면, 검사 수요의 증대, 자가검진 증가 등으로 시장이 확대되었으며, 4G, 인공지능, IoT 등의 4차산업 기술들과 융복합화되면서 시장 성장이 견조해지고 있다.
2. 체외진단 품질관리의 세계시장규모는 2021년 1,116.4백만 달러였으며 연평균 5.3 % 성장해 2026년 1,444.3백만 달러가 될 것으로 전망되고, 우리나라는 2021년 14.6백만 달러에서 연평균 7.1 % 성장해 2026년에 20.6백만 달러에 이를 것으로 전망되고 있다.
3. 해당분야 업체들은 세계적인 감염병 확대, 고령화 추세, 지원 정책 등으로 수요가 증가하고 있으므로 제품 포트폴리오 구축, 국내외 인허가 획득, 관련업체와의 M&A 등에 관심을 가져 시장점유의 기회로 삼을 필요가 있다고 판단된다
사회적 약자를 위한 정보 서비스 동향
No full text최근 사회적 가치의 중요성이 커짐에 따라 사회적 약자를 지원해야 하는 필요성이 점점 커지고 있다. 사회적 약자 지원은 사회적 가치 추구에 있어서 중요한 하나의 요소이며, 이를 통해 계층, 세대, 연령 간 격차 해소에 크게 기여할 수 있다. 그렇지만,
학술 정보, 과학기술 정보 등 전문적인 정보를 제공하는 서비스들은 아직까지 웹 접근성에만 초점을 맞추고 있어 사회적 약자를 지원하는 정보 서비스로의 패러다임 전환이 필요한 시점이라고 할 수 있다
Issues and Challenges in the Extraction and Mapping of Linked Open Data Resources with Recommender Systems Datasets
Get PDFRecommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based on their interests and preferences. The more recent technology, Linked Open Data (LOD), has been introduced, and a vast amount of Resource Description Framework data have been published in freely accessible datasets. These datasets are connected to form the so-called LOD cloud. The need for semantic data representation has been identified as one of the next challenges in Recommender Systems. In a LOD-enabled recommendation framework where domain awareness plays a key role, the semantic information provided in the LOD can be exploited. However, dealing with a big chunk of the data from the LOD cloud and its integration with any domain datasets remains a challenge due to various issues, such as resource constraints and broken links. This paper presents the challenges of interconnecting and extracting the DBpedia data with the MovieLens 1 Million dataset. This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis. Based on the challenges, we proposed a few alternatives and solutions to some of the challenges