• 제목/요약/키워드: Process Innovations

검색결과 215건 처리시간 0.025초

Use of biofilter as pre-treatment of polluted river water for drinking water supply

  • Suprihatin, Suprihatin;Cahyaputri, Bunga;Romli, Muhammad;Yani, Mohamad
    • Environmental Engineering Research
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    • 제22권2호
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    • pp.203-209
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    • 2017
  • Innovations in the biofiltration process can provide effective solutions to overcome crucial water pollution problems. The elimination of pollutants is a result of the combined effects of biological oxidation, adsorption and filtration processes. This research aims to evaluate the performance of quartz sand biofiltration for removing total suspended solids, turbidity, color, organic matter, and ammonium from polluted river water and develop an empirical model for designing quartz sand biofilters for the treatment of polluted river water. Experiments were conducted using two biofilter units filled with quartz sand as filter media. A set of experiments were performed to evaluate the effect of hydraulic retention time on biofilter performance in removing water contaminants. The kinetics of organic matter removal were also determined to describe the performance of the biofilter. The results show that biofiltration can significantly remove river water pollutants. Removal efficiency depends on the applied hydraulic retention time. At a hydraulic retention time of two hours, removal efficiencies of total organics, ammonium and total suspended solids were up to 78%, 82%, and 91%, respectively. A model for designing quartz sand biofiltration has been developed from the experimental data.

온라인 교육을 위한 OpenCV 기반 집중도 측정 시스템 개발 (Development of concentration measurement system in online education based on OpenCV)

  • 임대근;고규한;조재춘
    • 융합정보논문지
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    • 제10권11호
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    • pp.195-201
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    • 2020
  • 빠르게 발전하고 있는 정보화 시대에 맞춰 교육환경에서도 많은 발전과 영향이 있다. 이에 대표적으로 이러닝(E-Learning)이 있다. 그러나 이러닝은 직접적인 교류와 참여율이 낮아 집중을 유지하기가 어렵고, 교수자 또한 학습자의 집중 여부를 파악하는데 한계가 있다. 본 논문은 이러닝을 사용하는 학습자의 집중도를 사용자 눈 개폐와 정수리 인식을 통하여 집중도 측정할 수 있는 시스템을 개발하였다. 본 시스템은 눈과 정수리를 인식하여 집중도를 측정하고 지표화하여 교수자에게 제공한다. 눈과 정수리를 인식한 경우 이벤트가 발생하고 사용자의 반응 결과에 따라 집중도가 지표화된다. 시스템 검증을위해 실험집단과 통제집단으로 실험하였고 집중도 지표가 90% 이상의 정확도를 보였다.

혁신활동 결과의 전유방법에서 특허와 영업비밀의 상대적 선호 (The Relative Preference of Patent and Secrecy for Appropriation Mechanisms)

  • 김상신;최석준
    • 기술혁신연구
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    • 제17권2호
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    • pp.159-186
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    • 2009
  • 혁신활동은 기업 및 국가의 지속적인 성장에 풍요한 요인으로 작용하고 있으며 특히 혁신활동 결과물의 전유문제가 지속적인 혁신활동을 보장하는 중요한 수단으로 작용하고 있다. 본 연구는 혁신활동 결과물의 전유방법으로써 대표적으로 대비되는 특허시스템과 영업비밀에 대한 상대적 선호에 혁신주체와 혁신결과물의 득성들이 미치는 영향을 '2005년 기술혁신조사: 제조업부분' 자료와 Ordered Logit 방법을 통해 실증분석하였다. 분석결과 공정혁신활동보다는 제품혁신활동에서 선호도에 미치는 영향이 뚜렷한 것으로 나타났다. 또한 대부분의 연구주제에서 본 연구는 기존의 연구 및 전유방법들에서처럼 본연의 특성과 일치하는 결과를 나타냈으나 혁신활동의 정보원천과 관련된 분석결과에서는 기존의 연구와 상당한 차이점이 나타났다. 이는 본 연구가 기존의 연구에 비해 최신의 자료를 이용함으로써 기존연구와의 차별성을 분석해낸 결과로 볼 수 있을 것이다.

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Dynamic Analysis and Structural Optimization of a Fiber Optic Sensor Using Neural Networks

  • Kim Yong-Yook;Kapania Rakesh K.;Johnson Eric R.;Palmer Matthew E.;Kwon Tae-Kyu;Hong Chul-Un;Kim Nam-Gyun
    • Journal of Mechanical Science and Technology
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    • 제20권2호
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    • pp.251-261
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    • 2006
  • The objective of this work is to apply artificial neural networks for solving inverse problems in the structural optimization of a fiber optic pressure sensor. For the sensor under investigation to achieve a desired accuracy, the change in the distance between the tips of the two fibers due to the applied pressure should not interfere with the phase change due to the change in the density of the air between the two fibers. Therefore, accurate dynamic analysis and structural optimization of the sensor is essential to ensure the accuracy of the measurements provided by the sensor. To this end, a normal mode analysis and a transient response analysis of the sensor were performed by combining commercial finite element analysis package, MSC/NASTRAN, and MATLAB. Furthermore, a parametric study on the design of the sensor was performed to minimize the size of the sensor while fulfilling a number of constraints. In performing the parametric study, the need for a relationship between the design parameters and the response of the sensor was fulfilled by using a neural network. The whole process of the dynamic analysis using commercial finite element analysis package and the parameter optimization of the sensor were automated within the MATLAB environment.

Blockchain Technology for Combating Deepfake and Protect Video/Image Integrity

  • Rashid, Md Mamunur;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제24권8호
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    • pp.1044-1058
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    • 2021
  • Tempered electronic contents have multiplied in last few years, thanks to the emergence of sophisticated artificial intelligence(AI) algorithms. Deepfakes (fake footage, photos, speech, and videos) can be a frightening and destructive phenomenon that has the capacity to distort the facts and hamper reputation by presenting a fake reality. Evidence of ownership or authentication of digital material is crucial for combating the fabricated content influx we are facing today. Current solutions lack the capacity to track digital media's history and provenance. Due to the rise of misrepresentation created by technologies like deepfake, detection algorithms are required to verify the integrity of digital content. Many real-world scenarios have been claimed to benefit from blockchain's authentication capabilities. Despite the scattered efforts surrounding such remedies, relatively little research has been undertaken to discover where blockchain technology can be used to tackle the deepfake problem. Latest blockchain based innovations such as Smart Contract, Hyperledger fabric can play a vital role against the manipulation of digital content. The goal of this paper is to summarize and discuss the ongoing researches related to blockchain's capabilities to protect digital content authentication. We have also suggested a blockchain (smart contract) dependent framework that can keep the data integrity of original content and thus prevent deepfake. This study also aims at discussing how blockchain technology can be used more effectively in deepfake prevention as well as highlight the current state of deepfake video detection research, including the generating process, various detection algorithms, and existing benchmarks.

디지털 문화 산업의 시각에 따른 혁신적 비즈니스 모델: 가상 아이돌 '하츠네 미쿠'를 중심으로 (Innovative Business Model from the Perspective of Digital Cultural Industry -Centered on the Virtual Idol "Hatsune Miku")

  • 두효미;양종훈
    • 문화기술의 융합
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    • 제7권4호
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    • pp.823-831
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    • 2021
  • 인터넷 시대에 접어들면서 디지털 문화 산업이 크게 발전하고 있으며, 창업 회사가 인터넷 시장이라는 레드 오션에서 자리를 잡기 위한 혁신적인 비즈니스 모델은 많은 기업들이 직면한 중요한 도전과 기회이다. 본 연구는 가상 아이돌 하츠네 미쿠를 출발점으로 하여 기술 혁신, 가치 주장, 자원 조합, 경영 프로세스와 마케팅 모델 등을 분석한다. 구체적으로 크립톤(Crypton) 회사의 1세대 소프트웨어 Meiko와 2세대 소프트웨어 하츠네 미쿠의 차이에 대한 비교를 통해 비즈니스 모델의 구성 요소를 연구하고, 이를 통해 해당 비즈니스 모델의 특징과 장점을 탐구하며, 경영 모델과 창의적 부분에 대한 심층 분석으로 기타 전자 상품과 소프트웨어 개발 회사의 비즈니스 모델 구축에 실질적인 참고를 제공하고자 한다.

Development and application of Smart Water Cities global standards and certification schemes based on Key Performance Indicators

  • Lea Dasallas;Jung Hwan Lee;Su Hyung Jang
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.183-183
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    • 2023
  • Smart water cities (SWC) are urban municipalities that utilizes modern innovations in managing and preserving the urban water cycle in the city; with the purpose of securing sustainability and improving the quality of life of the urban population. Understanding the different urban water characteristics and management strategies of cities situate a baseline in the development of evaluation scheme in determining whether the city is smart and sustainable. This research herein aims to develop measurements and evaluation for SWC Key Performance Indicators (KPIs), and set up a unified global standard and certification scheme. The assessment for SWC is performed in technical, as well as governance and prospective aspects. KPI measurements under Technical Pillar assess the cities' use of technologies in providing sufficient water supply, monitoring water quality, strengthening disaster resilience, minimizing hazard vulnerability, and maintaining and protecting the urban water ecosystem. Governance and Prospective Pillar on the other hand, evaluates the social, economic and administrative systems set in place to manage the water resources, delivering water services to different levels of society. The performance assessment is composed of a variety of procedures performed in a quantitative and qualitative manner, such as computations through established equations, interviews with authorities in charge, field survey inspections, etc. The developed SWC KPI measurements are used to evaluate the urban water management practices for Busan Eco Delta city, a Semulmeori waterfront area in Gangseo district, Busan. The evaluation and scoring process was presented and established, serving as the basis for the application of the smart water city certification all over the world. The established guideline will be used to analyze future cities, providing integrated and comprehensive information on the status of their urban water cycle, gathering new techniques and proposing solutions for smarter measures.

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애니메이션 산업 현황과 기술 동향 - 인공지능과 실시간 렌더링 중심으로 (Current State of Animation Industry and Technology Trends - Focusing on Artificial Intelligence and Real-Time Rendering)

  • 전지봉
    • 문화기술의 융합
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    • 제9권5호
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    • pp.821-830
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    • 2023
  • 인터넷 네트워크 기술의 발전이 촉발한 새로운 OTT 영상 콘텐츠 플랫폼은 콘텐츠에 대한 수요를 늘리고 소비 패턴을 변화시키고 있다. 이러한 흐름은 한국 애니메이션 산업에 긍정적인 변화를 가져오고 있으며, 다양하고 고품질의 애니메이션 콘텐츠가 점점 더 중요해지고 있다. 기술 투자가 증가함에 따라 영상 제작 기술도 계속 발전하고있다. 특히, 3D 애니메이션과 VFX 제작 기술은 이전에는 생각할 수 없었던 효과들을 가능하게 하며 정교하고 사실적인 그래픽을 구현하게 해주고 있다. 4차 산업 혁명은 이러한 기술 발전에 새로운 기회를 제공하고 있다. 인공지능(AI)의 성장은 반복 작업을 자동화해 제작 효율을 향상시키고, 기존의 제작 기술을 넘어서는 혁신을 가능하게 하고 있다. 첨단 기술이 기반인 3D 애니메이션과 VFX는 지속적으로 연구되며, 제작 과정에 더욱 적극적으로 통합될 것으로 예상된다. 디지털 기술은 또한 아티스트의 창의력을 확장하는 역할을 하고 있다. AI와 첨단 기술의 미래는 무한한 잠재력을 지니고 있으며, 이를 통해 영상 콘텐츠 산업이 어떤 새로운 단계로 나아갈 수 있을지 기대가 높아지고 있다.

영화산업의 생성형 인공지능(Generative AI) 활용 현황과 문제점 (Current Use and Issues of Generative AI in the Film Industry)

  • 김종국
    • Journal of Information Technology Applications and Management
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    • 제31권3호
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    • pp.181-192
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    • 2024
  • With the introduction of generative artificial intelligence(AI) tools such as OpenAI's Sora into the global film industry, including Hollywood, there has been a simultaneous emergence of innovations in film production as well as various crises. These changes are spreading throughout the entire film production process, including scriptwriting, casting, editing, and acting. This study analyzes the impact of AI on the film industry, particularly Hollywood, and explores how this technology might bring about changes in Korean cinema. AI technologies applied in the film industry offer benefits such as reducing production time and costs. However, they also pose threats to many filmmakers and actors who rely on the traditional production methods, leading to ethical and legal issues. In Hollywood blockbuster films, AI technology is used to create realistic visual effects, analyze scripts, and suggest optimal shooting angles. While these applications improve the qualitative level of films, they also reduce the human resources required in traditional film production processes. The impact on the Korean film industry is also noteworthy. Some Korean film production companies are leveraging AI to create films in a more creative and efficient manner. Efforts are being made to analyze audience data using AI and develop storylines that appeal to a larger audience. However, these technological changes are controversial among many Korean filmmakers who prefer traditional production methods. This study provides an in-depth discussion on whether the adoption of AI in the film industry can bring about positive innovation or inevitably lead to crises. It analyzes how AI technology is transforming traditional roles in the film industry and what new opportunities and challenges this change generates within the industry. Additionally. This study highlights the differences in technology adoption between Hollywood and Korean film industry and explores how each industry is embracing these technological changes.

Contamination Rates in Duodenoscopes Reprocessed Using Enhanced Surveillance and Reprocessing Techniques: A Systematic Review and Meta-Analysis

  • Shivanand Bomman;Munish Ashat;Navroop Nagra;Mahendran Jayaraj;Shruti Chandra;Richard A Kozarek;Andrew Ross;Rajesh Krishnamoorthi
    • Clinical Endoscopy
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    • 제55권1호
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    • pp.33-40
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    • 2022
  • Background/Aims: Multiple outbreaks of multidrug-resistant organisms have been reported worldwide due to contaminated duodenoscopes. In 2015, the United States Food and Drug Administration recommended the following supplemental enhanced surveillance and reprocessing techniques (ESRT) to improve duodenoscope disinfection: (1) microbiological culture, (2) ethylene oxide sterilization, (3) liquid chemical sterilant processing system, and (4) double high-level disinfection. A systematic review and meta-analysis was performed to assess the impact of ESRT on the contamination rates. Methods: A thorough and systematic search was performed across several databases and conference proceedings from inception until January 2021, and all studies reporting the effectiveness of various ESRTs were identified. The pooled contamination rates of post-ESRT duodenoscopes were estimated using the random effects model. Results: A total of seven studies using various ESRTs were incorporated in the analysis, which included a total of 9,084 post-ESRT duodenoscope cultures. The pooled contamination rate of the post-ESRT duodenoscope was 5% (95% confidence interval [CI]: 2.3%-10.8%, inconsistency index [I2]=97.97%). Pooled contamination rates for high-risk organisms were 0.8% (95% CI: 0.2%-2.7%, I2=94.96). Conclusions: While ESRT may improve the disinfection process, a post-ESRT contamination rate of 5% is not negligible. Ongoing efforts to mitigate the rate of contamination by improving disinfection techniques and innovations in duodenoscope design to improve safety are warranted.