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머신러닝 기반의 영상 자동 편집 방법 및 시스템 (Video Automatic Editing Method and System based on Machine Learning)

  • 이승환;박대우
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.235-237
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    • 2022
  • 영상 콘텐츠는, 길이에 따라 롱폼 영상 콘텐츠와 숏폼 영상 콘텐츠로 구분된다. 롱폼 영상 콘텐츠는 15분 이상 길이로 생성되며, 편집 없이 촬영 영상의 모든 프레임들이 포함되도록 한다. 숏폼 영상 콘텐츠는 1분이상 15분 이내로, 촬영 영상의 프레임들로부터 일부 프레임만 짧은 길이로 편집할 수 있다. 최근 1인 방송 시장의 성장으로 인하여, 시청자들을 늘리기 위한 숏폼 영상 콘텐츠에 대한 수요가 확대되고 있다. 따라서, 숏폼 영상 콘텐츠를 편집하여 생성하는 콘텐츠 편집 기술에 대한 연구가 필요하다. 본 연구는 영상, 음성, 동작을 포착하여 주요 장면의 숏폼 동영상을 생성하는 기술을 연구한다. 주요 장면의 숏폼 동영상은 머신 러닝을 통해 미리 학습된 하이라이트 추출 모델을 이용한다. 하이라이트 영상을 자동으로 생성하는 영상 자동 편집 시스템 및 방법은 숏폼 영상 콘텐츠의 핵심 기술이다. 머신러닝 기반의 영상 자동 편집 방법 및 시스템 연구는 1인 크리에이터들의 영상 편집에 투입되는 노력과 비용시간을 감소시켜, 경쟁력있는 콘텐츠 활동을 할 수 있도록 기여할 것이다.

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우리나라 의료의 생의학적 모델 어떻게 할 것인가? - 생의학적 모델에서 생물정신사회적 모델로 - (What Should We do with Korea's Biomedical Model of Medicine? - From Biomedical to Biopsychosocial Model -)

  • 이상열
    • 정신신체의학
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    • 제20권1호
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    • pp.3-8
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    • 2012
  • 질병의 생물정신사회적 이해는 건강의 의미 있는 증진을 위해서 매우 중요한다. 건강의 유지와 증진은 신체적, 정신적, 사회적, 그리고 영적인 안녕감을 통하여 이루어진다. 건강은 단순한 상태와 삶의 목적이 아니며, 일상생활에서의 자원으로, 개인적, 사회적뿐만 아니라 신체적 능력의 긍정적 개념이다. 한편 의료 체계에서 생물정신사회적 모델의 이해 역시 매우 중요하다. Engel은 의사들의 교육 및 진료에서 생의학적 접근을 비판하고, 새로운 모델인 생물정신사회적 모델을 주장하였다. Engel은 인간을 특정한 방법으로 자신의 건강을 위해하거나 증진시킬 수 있는 생물학적, 정신적, 사회적 존재로 보았다. 질병의 생물정신사회적 모델의 중요함에도 불구하고, 우리나라의 의료는 질병의 생의학적 모델에만 중점을 두고 있다. 그 결과 한국의 의료가 기계화 되어가고 있고 비인간화 되어가고 있다. 저자는 한국 정신신체의학회 창립 20주년을 맞이함에 따라 우리나라 의료 체계 및 실제적인 임상 진료에서 질병의 생물정신사회적 모델의 중요성을 강조하고자 하였다.

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Developing drilling rate index prediction: A comparative study of RVR-IWO and RVR-SFL models for rock excavation projects

  • Hadi Fattahi;Nasim Bayat
    • Geomechanics and Engineering
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    • 제36권2호
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    • pp.111-119
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    • 2024
  • In the realm of rock excavation projects, precise estimation of the drilling rate index stands as a pivotal factor in strategic planning and cost assessment. This study introduces and evaluates two pioneering computational intelligence models designed for the prognostication of the drilling rate index, a pivotal parameter with direct implications for cost estimation in rock excavation projects. These models, denoted as the Relevance Vector Regression (RVR) optimized with the Invasive Weed Optimization algorithm (IWO) (RVR-IWO model) and the RVR integrated with the Shuffled Frog Leaping algorithm (SFL) (RVR-SFL model), represent a groundbreaking approach to forecasting drilling rate index. The RVR-IWO and RVR-SFL models were meticulously devised to harness the capabilities of computational intelligence and optimization techniques for drilling rate index estimation. This research pioneers the integration of IWO and SFL with RVR, constituting an unprecedented effort in forecasting drilling rate index. The primary objective of this study was to gauge the precision and dependability of these models in forecasting the drilling rate index, revealing significant distinctions between the two. In terms of predictive precision, the RVR-IWO model emerged as the superior choice when compared to the RVR-SFL model, underscoring the remarkable efficacy of the Invasive Weed Optimization algorithm. The RVR-IWO model delivered noteworthy results, boasting a Variance Account for (VAF) of 0.8406, a Mean Squared Error (MSE) of 0.0114, and a Squared Correlation Coefficient (R2) of 0.9315. On the contrary, the RVR-SFL model exhibited slightly lower precision, yielding an MSE of 0.0160, a VAF of 0.8205, and an R2 of 0.9120. These findings serve to highlight the potential of the RVR-IWO model as a formidable instrument for drilling rate index prediction, particularly within the framework of rock excavation projects. This research not only makes a significant contribution to the realm of drilling engineering but also underscores the broader adaptability of the RVR-IWO model in tackling an array of challenges within the domain of rock engineering. Ultimately, this study advances the comprehension of drilling rate index estimation and imparts valuable insights into the practical implementation of computational intelligence methodologies within the realm of engineering projects.

변화탐지와 회상 과제에 기초한 시각작업기억의 통합적 객체 표상 검증 (Integrated Object Representations in Visual Working Memory Examined by Change Detection and Recall Task Performance)

  • 이인애;현주석
    • 인지과학
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    • 제35권1호
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    • pp.1-21
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    • 2024
  • 본 연구는 두 가지 이론적 모델인 통합된 객체 모형과 특장 병렬-독립 저장 모형을 검증함으로써 시각작업기억 표상의 특성을 조사하였다. 실험 I에서 참가자들은 색상 사각형, 방위 막대 또는 두 가지 모두로 구성된 배열을 기억한 뒤 이를 토대로 변화탐지과제를 수행했다. 단일 특징 조건에서 기억배열은 하나의 특징(방위 또는 색상)으로만 구성된 반면, 두 가지 특징 조건은 둘 모두를 포함했다. 두 조건간 변화탐지 수행의 차이는 없었으며 이는 병렬-독립 저장 모형보다는 통합된 객체 모형을 지지한다. 실험 II에서는 이등변삼각형의 방위, 색상 사각형 또는 두 특징 모두로 구성된 기억배열을 대상으로 회상과제가 실시되었으며, 단일 특징과 두 가지 특징 조건 간 회상 수행이 비교되었다. 두 조건 간 회상 정확도에는 차이가 없었으나 표상 선명도와 추측반응에 대한 분석 결과는 강한 객체 모형보다는 약한 객체 모형을 시사했다. 본 연구의 결과는 시각작업기억의 표상 특성을 둘러싼 현시점의 논쟁에 있어서 병렬-독립 저장 모형이 아닌 통합된 객체 모형의 우세를 지지한다.

Novel adsorption model of filtration process in polycarbonate track-etched membrane: Comparative study

  • Adda, Asma;Hanini, Salah;Abbas, Mohamed;Sediri, Meriem
    • Environmental Engineering Research
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    • 제25권4호
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    • pp.479-487
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    • 2020
  • Current assumptions are used in the formulation of pseudo-first (PFO) and second-order (PSO) models to describe the kinetic data of filtration based on ideal operating conditions. This paper presents a new model developed with pseudo nth order and based on real assumption. A comparison was performed between PFO, PSO and the new model to highlight their performance and the optimisation of the pseudo-order equation, using MATLAB software. Adsorption characteristic of bovine serum albumin adsorption on the track-etched membrane are used as a medium based on protein filtration data were extracted from the literature for different concentrations to demonstrate the comparison between PFO/PSO and the new model. The pseudo first and second-order kinetic models were applied to test the experimental data and they did not provide reasonable values. The results show that the predicted values are consistent with experimental values giving a good correlation coefficient R2 = 0.997 and a minimum root mean squared error RMSE = 0.0171. Indeed, the experimental results follow the new model and the optimal pseudo equation order n = 1.115, the most suitable curves for the new model. As a result, we used different experimental adsorption data from the literature to examine and check the applicability and validity of the model.

Numerical response of pile foundations in granular soils subjected to lateral load

  • Adeel, Muhammad B.;Aaqib, Muhammad;Pervaiz, Usman;Rehman, Jawad Ur;Park, Duhee
    • Geomechanics and Engineering
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    • 제28권1호
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    • pp.11-23
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    • 2022
  • The response of pile foundations under lateral loads are usually analyzed using beam-on-nonlinear-Winkler-foundation (BNWF) model framework employing various forms of empirically derived p-y curves and p-multipliers. In practice, the p-y curve presented by the American Petroleum Institute (API) is most often utilized for piles in granular soils, although its shortcomings are recognized. The objective of this study is to evaluate the performance of the BNWF model and to quantify the error in the estimated pile response compared to a rigorous numerical model. BNWF analyses are performed using three sets of p-y curves to evaluate reliability of the procedure. The BNWF model outputs are compared with results of 3D nonlinear finite element (FE) analysis, which are validated via field load test measurements. The BNWF model using API p-y curve produces higher load-displacement curve and peak bending moment compared with the results of the FE model, because empirical p-y curve overestimates the stiffness and underestimates ultimate resistance up to a depth equivalent to four times the pile diameter. The BNWF model overestimates the peak bending moment by approximately 20-30% using both the API and Reese curves. The p-multipliers are revealed to be sensitive on the p-y curve used as input. These results highlight a need to develop updated p-y curves and p-multipliers for improved prediction of the pile response under lateral loading.

Reliability analyses of a prototype soil nail wall using regression models

  • Sivakumar Babu, G.L.;Singh, Vikas Pratap
    • Geomechanics and Engineering
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    • 제2권2호
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    • pp.71-88
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    • 2010
  • Soil nailing technique is being widely used for stabilization of vertical cuts because of its economic, environment friendly and speedy construction. Global stability and lateral displacement are the two important stability criteria for the soil nail walls. The primary objective of the present study is to evaluate soil nail wall stability criteria under the influence of in-situ soil variability. Finite element based numerical experiments are performed in accordance with the methodology of $2^3$ factorial design of experiments. Based on the analysis of the observations from numerical experiments, two regression models are developed, and used for reliability analyses of global stability and lateral displacement of the soil nail wall. A 10 m high prototype soil nail wall is considered for better understanding and to highlight the practical implications of the present study. Based on the study, lateral displacements beyond 0.10% of vertical wall height and variability of in-situ soil parameters are found to be critical from the stability criteria considerations of the soil nail wall.

신경아교세포의 정상 기능과 정신장애에서 나타나는 신경아교세포 이상에 대한 고찰 (Neuroglial Cells : An Overview of Their Physiological Roles and Abnormalities in Mental Disorders)

  • 이경민
    • 생물정신의학
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    • 제22권2호
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    • pp.29-33
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    • 2015
  • The brain maintains homeostasis and normal microenvironment through dynamic interactions of neurons and neuroglial cells to perform the proper information processing and normal cognitive functions. Recent post-mortem investigations and animal model studies demonstrated that the various brain areas such as cerebral cortex, hippocampus and amygdala have abnormalities in neuroglial numbers and functions in subjects with mental illnesses including schizophrenia, dementia and mood disorders like major depression and bipolar disorder. These findings highlight the putative role and involvement of neuroglial cells in mental disorders. Herein I discuss the physiological roles of neuroglial cells such as astrocytes, oligodendrocytes, and microglia in maintaining normal brain functions and their abnormalities in relation to mental disorders. Finally, all these findings could serve as a useful starting point for potential therapeutic concept and drug development to cure unnatural behaviors and abnormal cognitive functions observed in mental disorders.

Integrating Software Security into Agile-Scrum Method

  • Ghani, Imran;Azham, Zulkarnain;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권2호
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    • pp.646-663
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    • 2014
  • Scrum is one of the most popular and efficient agile development methods. However, like other agile methods such as Extreme Programming (XP), Feature Driven Development (FDD), and the Dynamic Systems Development Method (DSDM), Scrum has been criticized because of lack of support to develop secure software. Thus, in 2011, we published research proposing the idea of a security backlog (SB). This paper represents the continuation of our previous research, with a focus on the evaluation in industry-based case study. Our findings highlight an improved agility in Scrum after the integration of SB. Furthermore, secure software can be developed quickly, even in situations involving requirement changes of software. Based on our experimental findings, we noticed that, when integrating SB, it is quite feasible to develop secure software using an agile Scrum model.

지역사회복지실천 이해 도구로서 시스템 다이내믹스의 가능성에 관한 고찰 (A Study on the Potentials of System Dynamics as a Tool to Understand the Community Welfare Practice)

  • 조성숙
    • 한국시스템다이내믹스연구
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    • 제14권1호
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    • pp.89-104
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    • 2013
  • This study aims to explore the potentials of System Dynamics as a tool to understand the community welfare practice by paying attention to the strengths of System Dynamics to complement the weaknesses of the theories and studies of the community welfare practice. The contents of this study are as follows. First, it draws the limitations of its theories and studies by reviewing the literatures related. Second, it outlines the characteristics of the community welfare practice process as well as the strengths of System Dynamics as a tool to understand the community welfare practice. Third, it presents a causal loop model of System Dynamics applied to the community welfare practice process. Lastly, it concludes with the suggestions and implications of the key research findings. This study is expected to be a basic study to highlight the potentials of System Dynamics as a tool to understand the community welfare practice.

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