• Title/Summary/Keyword: Timeline

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Scene Production using Unity Cinemachine (유니티 시네머신을 활용한 장면 연출 모색)

  • Park, Sung Suk
    • Journal of Information Technology Applications and Management
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    • v.28 no.6
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    • pp.133-143
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    • 2021
  • Unity's Cinemachine, one of the game production technologies, can produce 3D images. However, since Cinemachine is a game production tool, video creators may find it difficult because the work process of Cinemachine is unfamiliar and complicated. However, it is necessary to learn new technologies for the future of video contents that will be advanced in the future. In order to understand Chinemachine as a video producer, I would like to embody the scene of the movie. We are going to produce a storyboard scene for storytelling in Cinemachine. We defined the workflow of Unity Cinemachine while directing the scene by creating a story, and also checked the advantages and cautions. I hope it will be an opportunity to enjoy using Unity Cinemachine, which is constantly evolving.

A Study on the Processing of Timestamps in the Creation of Multimedia Files on Mobile Devices

  • Han, Jaehyeok;Lee, Sangjin
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.402-410
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    • 2022
  • Digital data can be manipulated easily, so information related to the timestamp is important in establishing the reliability of the data. The time values for a certain file can be extracted following the analysis of the filesystem metadata or file internals, and the information can be utilized to organize a timeline for a digital investigation. Suppose the reversal of a timestamp is found on a mobile device during this process. In this case, a more detailed analysis is required due to the possibility of anti-forensic activity, but little previous research has investigated the handling and possible manipulation of timestamps on mobile devices. Therefore, in this study, we determine how time values for multimedia files are handled according to the operating system or filesystem on mobile devices. We also discuss five types of timestamps-file created (C), last modified (M), last accessed (A), digitalized (Di), and filename (FN) of multimedia files, and experimented with their operational features across multiple devices such as smartphones and cameras.

Extracting Core Event Feature Based on Timeline Analysis and Sentiment Feature in Twitter Corpus (트위터 자료의 시간별 분석과 감성 자질을 이용한 핵심 사건 추출)

  • Kim, Hui-Hwan;Tsolmon, Bayar;Lee, Kyung-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.395-398
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    • 2011
  • 트위터 사용자들은 어떠한 이슈에 대해 트위터를 통해 빠르고 간결하게 다른 사람들과의 지속적인 커뮤니케이션을 원하고, 이러한 특징은 이슈 별 사건에 따라 트윗 개수에 영향을 미치게 된다. 만약 어느 하나의 사회적 이슈에 대해 어떠한 사건이 일어나게 되면 그때의 트윗 개수는 폭발적으로 증가하게 된다. 본 논문에서는 이러한 특징을 이용하여 트위터 자료를 시간별로 분석하여 사건을 인식하고, 감성 자질과 카이제곱 값을 이용해 해당 날짜에 대한 핵심 사건을 추출한다.

Applications and Challenges of Deep Learning and Non-Deep Learning Techniques in Video Compression Approaches

  • K. Siva Kumar;P. Bindhu Madhavi;K. Janaki
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.140-146
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    • 2023
  • A detailed survey, applications and challenges of video encoding-decoding systems is discussed in this paper. A novel architecture has also been set aside for future work in the same direction. The literature reviews span the years 1960 to the present, highlighting the benchmark methods proposed by notable academics in the field of video compression. The timeline used to illustrate the review is divided into three sections. Classical methods, conventional heuristic methods, and current deep learning algorithms are all used for video compression in these categories. The milestone contributions are discussed for each category. The methods are summarized in various tables, along with their benefits and drawbacks. The summary also includes some comments regarding specific approaches. Existing studies' shortcomings are thoroughly described, allowing potential researchers to plot a course for future research. Finally, a closing note is made, as well as future work in the same direction.

A Study On An Automatic Crime Timeline Creation System Through An Overview Analysis Of Major Crime Facts (주요 범죄사실 개요 분석을 통한 범죄사실 타임라인 자동 작성 시스템 연구)

  • Jung, Jong-Jin;Park, Jong-Bin;Park, Sung-Ju
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.622-625
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    • 2021
  • 본 논문에서 제안한 주요 범죄사실 개요 분석을 통한 범죄사실 타임라인 자동 작성 시스템은 범죄를 수사하는 현장 수사관들이 수사과정에서 취득한 수사문건 중 범죄사실 파트에 기재된 문장들을 자연어분석을 통해 주요 범죄사실을 파악하는데 필요한 요소들을 자동으로 알아내고, 이 요소들을 타임 라인 상에 시간 순으로 표시함으로써 주요범죄사실 개용을 쉽게 이해 할수 있도록 타임라인을 자동 만들어 내는 시스템에 관한 연구이다. 이를 위해 수사문건에 포함된 범죄사실 개요 범위를 자동으로 알아내고, 그 범위내 포함된 문장들 속에서 주요행위자, 관심을 둬야 하는 시각, 그 시각에 벌어진 주요 행위들을 자동으로 분석하는 연구를 소개한다.

United States-China Competition for Technological Supremacy in Quantum Computing and Policy Trends (미중 기술패권 경쟁과 양자컴퓨팅 정책 동향)

  • S.J. Lee;S.H. Jeong;B.S. Cho
    • Electronics and Telecommunications Trends
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    • v.38 no.4
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    • pp.47-57
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    • 2023
  • The competition for technological supremacy is unfolding in the high-tech field, and quantum computing can be determinant for economic and security ripple effects. The United States and China, leaders in quantum computing, have developed this field through adequate policies. The United States has fostered quantum computing through government policies and competition among private companies, while China has secured world-class technology through large-scale government investment and attracting foreign talent. In quantum computing, securing talented people is essential to guarantee independent technology development regarding academic attributes and security. We analyze quantum computing policies in the United States and China on a timeline and determine their policy trends. In addition, the policies for securing talent in these countries are reviewed, and the policy effects are compared based on literature analysis. Through the analysis of policy cases between the United States and China, bilateral policy implications for Korea are delineated.

Implications on Policy Changes of the National Infrastructure Protection Plan in the United States (미국 핵심기반보호정책의 변화 고찰을 통한 시사점)

  • Kim, Younhee;Jeong, Seul-Gi
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.423-424
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    • 2022
  • 본 연구에서는 미국의 국가핵심기반보호제도의 변화에 대해 고찰하고 시사점을 도출한다. 이를 위해 9/11 테러 공격 이후 국가핵심기반보호계획(National Infrastructure Protection Plan)을 중심으로 관련 법률 및 제도와 조직변화를 추적하고 고찰하였고, 이들의 관계를 도식화하여 타임라인(timeline)분석을 실시하였다. 본 연구를 통해 국토안보대통령령-8호(HSPD-8), 대통령령-21호(PDD-21), 사이버보안과 핵심기반법(Cybersecurity & Infrastructure Act)등의 관련 법제 변화를 통해 총 3가지 버전의 NIPP이 있음을 확인할 수 있었으며, 2018년에 사이버보안과 주요인프라청(CISA)이 창설되어 국가핵심기반보호제도업무를 이곳으로 이관하여 운영되고 있음을 알 수 있었다. 또한 국가핵심기반을 보는 관점이 9/11 테러 공격 이후 주요 핵심기반 보호(Protection)에서 주요핵심기반의 복원력(Resilience)제고로 변화하고 있음을 도출하였다.

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ITU-R Activities for Standardization of 6G Technologies (ITU-R에서의 6G 표준화 동향)

  • C.I. Yeh;K.S. Chang;Y.J. Ko;I.G. Kim
    • Electronics and Telecommunications Trends
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    • v.39 no.3
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    • pp.87-97
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    • 2024
  • With the timeline released by ITU-R (Radiocommunication Sector of the International Telecommunication Union), research and development activities for the International Mobile Telecommunications for 2030 and beyond (IMT-2030) are now in full swing. We provide an overview of the general process of making global core specifications for next-generation mobile systems and summarize the ITU-R Recommendation of the IMT-2030 Framework. The ITU-R Recommendation focuses on IMT-2030 usage scenarios and related capabilities. The expectations of 3GPP (Third Generation Partnership Project) activities for the proposal of candidate IMT-2030 global core specifications to the ITU-R are also discussed. The launch of IMT-2030 for commercial purposes is expected to begin in 2030.

Optimization of Automated Suspension Trapping Digestion in Bottom-Up Proteomics via Mass Spectrometry

  • Haneul Song;Yejin Jeon;Iyun Choi;Minjoong Joo;Jong-Moon Park;Hookeun Lee
    • Mass Spectrometry Letters
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    • v.15 no.1
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    • pp.62-68
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    • 2024
  • The Suspension Trapping (S-Trap) method has been a prominent sample preparation technique since its introduction in 2014. Its capacity to induce protein aggregation using organic solvents has significantly improved protein purification and facilitated peptide identification. However, its full potential for automation has been limited by the lack of a suitable liquid handling system until recently. In this study, we aimed to enhance the automation of S-Trap sample preparation by optimizing the S-Trap digestion process, incorporating triethylammonium bicarbonate (TEAB) and CaCl2. The utilization of TEAB buffer conditions in this innovative process led to a noteworthy 12% improvement in protein identification. Additionally, through careful observation of various incubation conditions, we streamlined the entire sample preparation workflow into a concise 4 hours timeline, covering reduction, alkylation, and trypsin incubation stages. This refined and expedited automated S-Trap digestion process not only showcased exceptional time efficiency but also improved trypsin digestion, resulting in increased protein identification.

A Study on Relapse Predictors in Korean Alcohol-Dependent Patients - A 24 Weeks Follow up Study - (24주 추적 조사를 통한 한국인 알코올 의존 환자의 재발 예측 인자 규명 연구)

  • Kim, Cheol Min;Kim, Sung Gon;NamKoong, Kee;Cho, Dong Hwan;Lee, Byung Ook;Choi, Ihn Geun;Kim, Min Jeong
    • Korean Journal of Biological Psychiatry
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    • v.14 no.4
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    • pp.249-255
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    • 2007
  • Objectives : The aim of this prospective study is to investigate predictors estimating relapse in Korean alcohol-dependent patients using variables like alcohol history, drinking craving, treatment motivation and insight. Methods : Alcohol dependent patients(N=48) who completed questionnaires about sociodemographic variables and drinking history, Timeline Follow-Back(TLFB), Obsessive-Compulsive Drinking Scale(OCSD), Alcohol Urge Questionnaire(AUQ), Pennsylvania Alcohol Craving Scale(PACS), University of Rhode Island Change Assessment(URICA), Hanil Alcohol Insight Scale(HAIS) were followed-up for 24weeks. Subjects who drank heavily(5 standard drinking or more/day) or were not followed up anymore were classified as the relapse group. We used logistic regression analysis with backward elimination of SPSS PC+11.5 to investigate relapse estimate predictors. Results : Average drinking amount per drinking day for last 1 year and HAIS score were predictors of relapse in alcohol-dependent patients. Conclusions : Our findings suggest that therapist should give more attention to alcohol-dependent patients who had more drinks per drinking day for last 1 year and had lower insight level.

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