Relevant bibliographies by topics / VIDEO COMPONENT

Academic literature on the topic 'VIDEO COMPONENT'

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Published: 11 September 2023

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Journal articles on the topic "VIDEO COMPONENT"

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Sari, Ilmiyati, Asep Juarna, Suryadi Harmanto, and Djati Kerami. "Background Estimation Using Principal Component Analysis Based on Limited Memory Block Krylov Subspace Optimization." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 2847. http://dx.doi.org/10.11591/ijece.v8i5.pp2847-2856.

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<p>Given a video of 𝑀 frames of size ℎ × 𝑤. Background components of a video are the elements matrix which relative constant over 𝑀 frames. In PCA (principal component analysis) method these elements are referred as “principal components”. In video processing, background subtraction means excision of background component from the video. PCA method is used to get the background component. This method transforms 3 dimensions video (ℎ × 𝑤 × 𝑀) into 2 dimensions one (𝑁 × 𝑀), where 𝑁 is a linear array of size ℎ × 𝑤. The principal components are the dominant eigenvectors which are the basis of an eigenspace. The limited memory block Krylov subspace optimization then is proposed to improve performance the computation. Background estimation is obtained as the projection each input image (the first frame at each sequence image) onto space expanded principal component. The procedure was run for the standard dataset namely SBI (Scene Background Initialization) dataset consisting of 8 videos with interval resolution [146 150, 352 240], total frame [258,500]. The performances are shown with 8 metrics, especially (in average for 8 videos) percentage of error pixels (0.24%), the percentage of clustered error pixels (0.21%), multiscale structural similarity index (0.88 form maximum 1), and running time (61.68 seconds). </p>
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Булага Костянтин Миколайович. "ДИДАКТИКО-ТЕХНІЧНЕ ЗАБЕЗПЕЧЕННЯ НАВЧАЛЬНОЇ ДІЯЛЬНОСТІ ВИХОВАНЦІВ ДИТЯЧОГО ХОРЕОГРАФІЧНОГО КОЛЕКТИВУ." Science Review, no. 4(31) (April 30, 2020): 20–24. http://dx.doi.org/10.31435/rsglobal_sr/30042020/7052.

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The article describes the didactic and technical support of the educational activity of the pupils of the children's choreographic team as a set of didactic and technical components. The didactic component provides videos of educational and general information content (videos of lessons, exercises, concert numbers, performances, etc.) using creolized media texts. The technical component is represented by the cloud-based YouTube service as a modern platform for hosting and openly accessing educational and general-purpose video content.Development of didactic and technical support was based on the provisions of media didactics, principles of clarity, multimedia. Didactic and technical support of the educational activities of the children of the choreographic team is a YouTube video channel as a training tool, filled with videos of educational and general information content (videos of lessons, exercises, concert numbers, performances, useful video, etc.) using creolized media text organization and interactive interaction.
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Xiao, He. "Gradient-Mapping-Based Method for Video Enhancement." Applied Mechanics and Materials 685 (October 2014): 559–62. http://dx.doi.org/10.4028/www.scientific.net/amm.685.559.

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In order to improve the visual effect of nighttime videos, an effective video enhancement method based on gradient mapping is proposed. The proposed method firstly is to change color space from RGB to HSI, secondly the horizontal gradient and vertical gradient components of frames are calculated in I component. Then frame’s gradient is enhanced by the proposed global mapping method. Meanwhile, saturation S component is enhanced to reduce the color distortion. Finally, color video frames are reconstructed. Experimental results show that the proposed method can obtain more appealing perceptual quality than the state-of-the-art algorithms.
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Plotnitskiy, Yuriy E. "Structural and semantic characteristics of music videos, containing a choreographic component." Neophilology, no. 22 (2020): 336–45. http://dx.doi.org/10.20310/2587-6953-2020-6-22-336-345.

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The paper studies specific characteristics of the music videos containing a choreographic component. Different viewpoints on the notion of corporality have been analysed and its significance for understanding conceptual and axiological aspects of the song text, as well as specific features of contemporary dance from the angle of its influence on the audience. Further we give a general description of the study material, which includes 20 music videos in different styles. Then the researcher gives detailed analysis of the videos in which the choreographic visual component carries out the function of illustration, symbolically conveys the conceptual meaning of the song lyrics or is in the contrast relations with it. The research has also revealed the cases of visual choreographic component performing the complementary function by way of adding extra semantic aspects to the meaning of the song, as well as the function that can be called “providing a storyline”, where the visual component is characterised by absolute novelty in relation to the verbal component or the song lyrics. Such parameters as correlation between the verbal and the visual components of a music video, functions of the choreographic visual component and the specifics of conveying conceptual information by means of dance movements in a music video have been investigated.
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Skelton, J. R., S. Field, and C. Wiskin. "The video component of summative assessment." Patient Education and Counseling 34 (May 1998): S63—S64. http://dx.doi.org/10.1016/s0738-3991(98)90152-5.

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Rzeszewski, Theodore S., and Robert L. Pawelski. "Efficient Transmission of Digital Component Video." SMPTE Journal 95, no. 9 (September 1986): 889–98. http://dx.doi.org/10.5594/j03245.

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Desai, T. S., and D. C. Kulkarni. "Assessment of Interactive Video to Enhance Learning Experience: A Case Study." Journal of Engineering Education Transformations 35, S1 (January 1, 2022): 74–80. http://dx.doi.org/10.16920/jeet/2022/v35is1/22011.

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In modern STEM classrooms, video learning holds an important place, since it offers flexibility of time, place and content. But a lot of improvement is needed to enhance the learning experience because conventional video lecture lacks interaction that is indispensable component of teaching – learning process. Interactive video is highly recommended to resolve this issue as it allows proactive and random access to video content and promotes learner – content interactivity by inserting interactive elements. Interactive kind of video facilitates students’ engagement and active learning through incorporated interactive components. Present study employed two settings: learning using demonstrative video and learning using interactive video. It is observed that, students’ performance enhanced significantly in the post video quiz of interactive video and thus interactive video leads to better learners’ satisfaction. A study was carried out with 240 number of first year Engineering students for the course of Applied Physics. We collected data from post- video quiz performance and feedback from the students. The grades obtained by the students in post-video quiz for demonstrative and interactive videos were compared. For the interactive type of videos, the average marks scored were 82.79% and for demonstrative type of videos, average marks obtained were of 64.41%. This study brings forth superiority of interactive video over linear, demonstrative video as it offers enhancement of the level of conceptual understanding and attainment of desired learning outcomes through the management of cognitive and germane load by enhancing students’ engagement through active learning. Keywords—cognitive load; demonstrative video; germane load; interactive video; Learning Design; learning outcomes.
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Hou, Yan Yan. "Video Copy Detection Based on Principal Component Analysis." Applied Mechanics and Materials 548-549 (April 2014): 693–97. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.693.

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Content-based video hashing was proposed for the purpose of video copy detection. Conventional video copy detection algorithms apply image hashing algorithm to either every frame or key frame which is sensitive to video variation. In our proposed algorithm, key frames including temporal and spatial information are used to video copy detection, Discrete cosine transform (DCT) is done for video key frame and feature vector is extracted by principal component analysis ( PCA ). An average true positive rate of 99.31% and false positive rate of 0.37% demonstrate the robustness and uniqueness of the proposed algorithm. Experiments indicate that it is easy to implement and more efficient than other video copy detection algorithms.
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Lonhus, Kirill, Renata Rychtáriková, Ali Ghaznavi, and Dalibor Štys. "Estimation of rheological parameters for unstained living cells." European Physical Journal Special Topics 230, no. 4 (April 19, 2021): 1105–12. http://dx.doi.org/10.1140/epjs/s11734-021-00084-2.

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AbstractIn video-records, objects moving in intracellular regions are often hardly detectable and identifiable. To squeeze the information on the intracellular flows, we propose an automatic method of reconstruction of intracellular flow velocity fields based only on a recorded video of an unstained cell. The basis of the method is detection of speeded-up robust features (SURF) and assembling them into trajectories. Two components of motion—direct and Brownian—are separated by an original method based on minimum covariance estimation. The Brownian component gives a spatially resolved diffusion coefficient. The directed component yields a velocity field, and after fitting the vorticity equation, estimation of the spatially distributed effective viscosity. The method was applied to videos of a human osteoblast and a hepatocyte. The obtained parameters are in agreement with the literature data.
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Rekha, Bhanu, and Ravi Kumar AV. "High Quality Video Assessment Using Salient Features." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 3 (September 1, 2017): 761. http://dx.doi.org/10.11591/ijeecs.v7.i3.pp761-772.

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<p class="Abstract">An efficient modified video compression HEVC technique based on high quality assessment saliency features presented for the assessment of high quality videos. To create an efficient saliency map we extract global temporal alignment component and robust spatial components. To obtain high quality saliency here, we combine spatial saliency features and temporal saliency features together for different macroblocks in association with transformed residuals. In this way, our saliency model outperforms all the existing techniques. In this paper, we have generated high reconstruction quality video after compression considering SFU dataset. Our experimental results outperforms all the existing techniques in terms of saliency map detection, PSNR and high-resolution quality.</p>
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Dissertations / Theses on the topic "VIDEO COMPONENT"

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Ljungström, Carl. "Design and Implementation of an Analog Video Signal Quality Measuring Software for Component Video." Thesis, Linköpings universitet, Bildkodning, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54371.

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An IP based set-top box (STB) is essentially a lightweight computer used to receive video over the Internet and convert it to analog or digital signals understood by the television. During this transformation from a digital image to an analog video signal many different types of distortions can occur. Some of these distortions will affect the image quality in a negative way. If these distortions could be measured they might be corrected and give the system a better image quality. This thesis is a continuation of two previous theses where a custom hardware for sampling analog component video signals was created. A software used to communicatewith the sampling hardware and perform several different measurementson the samples collected has been created in this thesis. The analog video signal quality measurement system has been compared to a similar commercial product and it was found that all except two measurement methods gave very good results. The remaining two measurement methods gave acceptable result. However the differences might be due to differences in implementation. The most important thing for the measurement system is to have consistency. If a system has consistency then any changes leading to worse videoquality can be found.
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Steshenko, D., and Д. Стешенко. "Marketing component of video projects on the YouTube platform." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50083.

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1. Allie Wolff. 5 Reasons Clickbait Is The Worst (And How It Will Negatively Impact Your Business) [Electronic resource] – Access mode: https://www.hatchbuck. com/blog/5-reasons-clickbaitnegatively-impacts-business/ 2. Anderson C. How web video powers global innovation [Electronic resource] – Access mode: https://www.ted.com/talks/chris_anderson_how_web_ video_powers_global 3. Burroughs B. 2017. YouTube Kids: The App Economy and Mobile Parenting [Electronic resource] – Access mode: https://uk.sagepub.com/en-gb/eur/ journals-permissions 4.Josh Lieb. Clickbait I’m on the Fence About [Electronic resource] – Access mode: https://www.newyorker.com/humor/daily-shouts/clickbait-im-on-the-fenceabout. 5.Power D. 3 YouTube Social Features That Help Businesses and Brands [Electronic resource] – Access mode: https://sproutsocial.com/insights/youtubesocial-features-businesses-brands/
Today, humanity has a unique opportunity to have instant access to a large amount of information from around the world. It is difficult to imagine the life of modern society without computer technology and the Internet. The advantage of the Internet is that it provides users with ample opportunities for self-realization. Everyone has the opportunity to start an author’s blog, in which he will be free to spread his own thoughts on a topic of interest to him.
Сьогодні людство має унікальну можливість отримати миттєвий доступ до великої кількості інформації з усього світу. Важко уявити життя сучасного суспільства без комп’ютерних технологій та Інтернету. Перевага Інтернету полягає в тому, що він надає користувачам широкі можливості для самореалізації. Кожен має можливість створити авторський блог, в якому він зможе вільно поширювати власні думки на цікаву для нього тему.
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Söderström, Ulrik. "Very low bitrate video communication : a principal component analysis approach /." Umeå : Department of Applied Physics and Electronics, Umeå University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1808.

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Söderström, Ulrik. "Very Low Bitrate Video Communication : A Principal Component Analysis Approach." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1808.

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A large amount of the information in conversations come from non-verbal cues such as facial expressions and body gesture. These cues are lost when we don't communicate face-to-face. But face-to-face communication doesn't have to happen in person. With video communication we can at least deliver information about the facial mimic and some gestures. This thesis is about video communication over distances; communication that can be available over networks with low capacity since the bitrate needed for video communication is low. A visual image needs to have high quality and resolution to be semantically meaningful for communication. To deliver such video over networks require that the video is compressed. The standard way to compress video images, used by H.264 and MPEG-4, is to divide the image into blocks and represent each block with mathematical waveforms; usually frequency features. These mathematical waveforms are quite good at representing any kind of video since they do not resemble anything; they are just frequency features. But since they are completely arbitrary they cannot compress video enough to enable use over networks with limited capacity, such as GSM and GPRS. Another issue is that such codecs have a high complexity because of the redundancy removal with positional shift of the blocks. High complexity and bitrate means that a device has to consume a large amount of energy for encoding, decoding and transmission of such video; with energy being a very important factor for battery-driven devices. Drawbacks of standard video coding mean that it isn't possible to deliver video anywhere and anytime when it is compressed with such codecs. To resolve these issues we have developed a totally new type of video coding. Instead of using mathematical waveforms for representation we use faces to represent faces. This makes the compression much more efficient than if waveforms are used even though the faces are person-dependent. By building a model of the changes in the face, the facial mimic, this model can be used to encode the images. The model consists of representative facial images and we use a powerful mathematical tool to extract this model; namely principal component analysis (PCA). This coding has very low complexity since encoding and decoding only consist of multiplication operations. The faces are treated as single encoding entities and all operations are performed on full images; no block processing is needed. These features mean that PCA coding can deliver high quality video at very low bitrates with low complexity for encoding and decoding. With the use of asymmetrical PCA (aPCA) it is possible to use only semantically important areas for encoding while decoding full frames or a different part of the frames. We show that a codec based on PCA can compress facial video to a bitrate below 5 kbps and still provide high quality. This bitrate can be delivered on a GSM network. We also show the possibility of extending PCA coding to encoding of high definition video.
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Söderström, Ulrik. "Very low bitrate facial video coding : based on principal component analysis /." Umeå : Department of Applied Physics and Electronics, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-895.

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Söderström, Ulrik. "Very low bitrate facial video coding : based on principal component analysis." Licentiate thesis, Umeå University, Applied Physics and Electronics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-895.

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This thesis introduces a coding scheme for very low bitrate video coding through the aid of principal component analysis. Principal information of the facial mimic for a person can be extracted and stored in an Eigenspace. Entire video frames of this persons face can then be compressed with the Eigenspace to only a few projection coefficients. Principal component video coding encodes entire frames at once and increased frame size does not increase the necessary bitrate for encoding, as standard coding schemes do. This enables video communication with high frame rate, spatial resolution and visual quality at very low bitrates. No standard video coding technique provides these four features at the same time.

Theoretical bounds for using principal components to encode facial video sequences are presented. Two different theoretical bounds are derived. One that describes the minimal distortion when a certain number of Eigenimages are used and one that describes the minimum distortion when a minimum number of bits are used.

We investigate how the reconstruction quality for the coding scheme is affected when the Eigenspace, mean image and coefficients are compressed to enable efficient transmission. The Eigenspace and mean image are compressed through JPEG-compression while the while the coefficients are quantized. We show that high compression ratios can be used almost without any decrease in reconstruction quality for the coding scheme.

Different ways of re-using the Eigenspace for a person extracted from one video sequence to encode other video sequences are examined. The most important factor is the positioning of the facial features in the video frames.

Through a user test we find that it is extremely important to consider secondary workloads and how users make use of video when experimental setups are designed.

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Lewis, Joshua. "A COMMON COMPONENT-BASED SOFTWARE ARCHITECTURE FOR MILITARY AND COMMERCIAL PC-BASED VIRTUAL SIMULATION." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2301.

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Commercially available military-themed virtual simulations have been developed and sold for entertainment since the beginning of the personal computing era. There exists an intense interest by various branches of the military to leverage the technological advances of the personal computing and video game industries to provide low cost military training. By nature of the content of the commercial military-themed virtual simulations, a large overlap has grown between the interests, resources, standards, and technology of the computer entertainment industry and military training branches. This research attempts to identify these commonalities with the purpose of systematically designing and evaluating a common component-based software architecture that could be used to implement a framework for developing content for both commercial and military virtual simulation software applications.
Ph.D.
Other
Engineering and Computer Science
Modeling and Simulation
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Kaufman, Jason R. "Digital video watermarking using singular value decomposition and two-dimensional principal component analysis." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1141855950.

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Azarmehr, Ramin. "Real-time Embedded Age and Gender Classification in Unconstrained Video." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32463.

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Recently, automatic demographic classification has found its way into embedded applications such as targeted advertising in mobile devices, and in-car warning systems for elderly drivers. In this thesis, we present a complete framework for video-based gender classification and age estimation which can perform accurately on embedded systems in real-time and under unconstrained conditions. We propose a segmental dimensionality reduction technique utilizing Enhanced Discriminant Analysis (EDA) to minimize the memory and computational requirements, and enable the implementation of these classifiers for resource-limited embedded systems which otherwise is not achievable using existing resource-intensive approaches. On a multi-resolution feature vector we have achieved up to 99.5% compression ratio for training data storage, and a maximum performance of 20 frames per second on an embedded Android platform. Also, we introduce several novel improvements such as face alignment using the nose, and an illumination normalization method for unconstrained environments using bilateral filtering. These improvements could help to suppress the textural noise, normalize the skin color, and rectify the face localization errors. A non-linear Support Vector Machine (SVM) classifier along with a discriminative demography-based classification strategy is exploited to improve both accuracy and performance of classification. We have performed several cross-database evaluations on different controlled and uncontrolled databases to assess the generalization capability of the classifiers. Our experiments demonstrated competitive accuracies compared to the resource-demanding state-of-the-art approaches.
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Radjabi, Ryan F. "WILDFIRE DETECTION SYSTEM BASED ON PRINCIPAL COMPONENT ANALYSIS AND IMAGE PROCESSING OF REMOTE-SENSED VIDEO." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1621.

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Early detection and mitigation of wildfires can reduce devastating property damage, firefighting costs, pollution, and loss of life. This thesis proposes the method of Principal Component Analysis (PCA) of images in the temporal domain to identify a smoke plume in wildfires. Temporal PCA is an effective motion detector, and spatial filtering of the output Principal Component images can segment the smoke plume region. The effective use of other image processing techniques to identify smoke plumes and heat plumes are compared. The best attributes of smoke plume detectors and heat plume detectors are evaluated for combination in an improved wildfire detection system. PCA of visible blue images at an image sampling rate of 2 seconds per image effectively exploits a smoke plume signal. PCA of infrared images is the fundamental technique for exploiting a heat plume signal. A system architecture is proposed for the implementation of image processing techniques. The real-world deployment and usability are described for this system.
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Books on the topic "VIDEO COMPONENT"

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L, Schorn Jayne, ed. Video magazine's guide to component TV. New York: McGraw-Hill, 1986.

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Giles, Carl H. Buyer's guide to component TV. Blue Ridge Summit, PA: TAB Books, 1985.

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Slavin, K. R. The subjective effects of random bit errors in YUV component video signals. London: British Broadcasting Corporation, 1985.

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Cowen, A. R. An Assessment of Recsam Components Ltd. IGON DYN/1 dynamic video disc recorder. London: Department of Health and Social Security, NHS Procurement Directorate, Supplies Technology Division, 1988.

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Filippo, Maggia, Opera Bevilacqua La Masa (Venice, Italy), and Museo di fotografia contemporanea (Cinisello Balsamo, Italy), eds. Victor Burgin: Components of a practice. Milano: Skira, 2008.

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Learning, Thomson Delmar. A41.4 Component Replacement Video. Delmar Learning, 1994.

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Dini, Andrea, Maria Cristina Peccianti, Janice Aski, and Graziana Lazzarino. Video CD (component) to accompany Prego. 6th ed. McGraw-Hill Humanities/Social Sciences/Languages, 2004.

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Mckeague, Charles P. Intermediate Algebra: Concepts and Graphs with Digital Video Component. Harcourt, 2002.

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University, Edinburgh Scotland Heriot-Watt. Microwave and Rf Component/Subsystem Manufacturing Technology (Video Training Courses). Artech House, 1991.

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GLEICHER. Tubal Catheteriz Proc PAL Video Componen. John Wiley & Sons Inc, 1992.

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Book chapters on the topic "VIDEO COMPONENT"

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Lifaros. "Cylindrical video component." In Flash Video Creativity, 147–74. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5129-3_6.

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Farvardin, Nariman, and Xiaonong Ran. "A Perceptually Motivated Three-Component Image Model." In Video Coding, 337–82. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1337-3_9.

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Zheng, Nanning, and Jianru Xue. "Component Analysis." In Statistical Learning and Pattern Analysis for Image and Video Processing, 51–85. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-312-9_3.

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Yuan, Minglei, Palaiahnakote Shivakumara, Hao Kong, Tong Lu, and Umapada Pal. "Text Component Reconstruction for Tracking in Video." In Advances in Multimedia Information Processing – PCM 2018, 437–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00776-8_40.

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Sun, Jiande, Ju Liu, and Huibo Hu. "Data Hiding in Independent Components of Video." In Independent Component Analysis and Blind Signal Separation, 970–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_122.

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Matsushita, Yusuke, and Toshikazu Wada. "Principal Component Hashing: An Accelerated Approximate Nearest Neighbor Search." In Advances in Image and Video Technology, 374–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92957-4_33.

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Uchiyama, Hideaki, and Hideo Saito. "Rotated Image Based Photomosaic Using Combination of Principal Component Hashing." In Advances in Image and Video Technology, 668–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92957-4_58.

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Lelescu, Dan, and Dan Schonfeld. "Video Skimming and Summarization Based on Principal Component Analysis." In Management of Multimedia on the Internet, 128–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45508-6_10.

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Kostadinov, Georgi. "Synopsis of Video Files Using Neural Networks: Component Analysis." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 11–23. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17292-2_2.

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Chow, Shu-Kam, and Kwok-Leung Chan. "Removal of Specular Reflection Component Using Multi-view Images and 3D Object Model." In Advances in Image and Video Technology, 999–1009. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92957-4_87.

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Conference papers on the topic "VIDEO COMPONENT"

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Bergman, Larry A., John M. Morookian, and C. Yeh. "WDM component requirements for bit-parallel fiber optic computer networks." In Voice, Video, and Data Communications, edited by Ray T. Chen and Louis S. Lome. SPIE, 1998. http://dx.doi.org/10.1117/12.300917.

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Rudat, Christian, Christian R. Helmrich, Jani Lainema, Tung Nguyen, Heiko Schwarz, Detlev Marpe, and Thomas Wiegand. "Inter-Component Transform for Color Video Coding." In 2019 Picture Coding Symposium (PCS). IEEE, 2019. http://dx.doi.org/10.1109/pcs48520.2019.8954496.

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Gotoh, Toshiyuki, Yoshiyuki Ohta, Masumi Yoshida, and Yoshio Shirai. "Component Labeling Algorithm For Video Rate Processing." In Hague International Symposium, edited by Andre J. Oosterlinck and Andrew G. Tescher. SPIE, 1987. http://dx.doi.org/10.1117/12.941317.

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Song, Yunseok, and Yo-Sung Ho. "Simplified inter-component depth modeling in 3D-HEVC." In 2013 11th IVMSP Workshop: 3D Image/Video Technologies and Applications. IEEE, 2013. http://dx.doi.org/10.1109/ivmspw.2013.6611943.

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Liu, S., and M. Hayes. "Video compression using quadtree segmentation and component quantization." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319839.

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Huang, Han, and Shawmin Lei. "Guided Cross-Component Prediction for RGB Video Coding." In 2018 Data Compression Conference (DCC). IEEE, 2018. http://dx.doi.org/10.1109/dcc.2018.00016.

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Mirza, Hanane H., Hien D. Thai, Yasunori Nagata, and Zensho Nakao. "Digital Video Watermarking Based on Principal Component Analysis." In 2007 Second International Conference on Innovative Computing, Information and Control. IEEE, 2007. http://dx.doi.org/10.1109/icicic.2007.267.

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Antsiferova, Anastasia, Alexander Yakovenko, Nickolay Safonov, Dmitriy Kulikov, Alexander Gushin, and Dmitriy Vatolin. "Applying Objective Quality Metrics to Video-Codec Comparisons: Choosing the Best Metric for Subjective Quality Estimation." In 31th International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2021. http://dx.doi.org/10.20948/graphicon-2021-3027-199-210.

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Quality assessment is essential to creating and comparing video compression algorithms. Despite the development of many new quality-assessment methods, well-known and generally accepted codecs comparisons mainly employ classical methods such as PSNR, SSIM, and VMAF. These methods have different variations: temporal pooling techniques, color-component summations and versions. In this paper, we present comparison results for generally accepted video-quality metrics to determine which ones are most relevant to video codecs comparisons. For evaluation we used videos compressed by codecs of different standards at three bitrates, and subjective scores were collected for these videos. Evaluation dataset consists of 789 encoded streams and 320294 subjective scores. VMAF calculated for all Y, U, V color spaced showed the best correlation with subjective quality, and we also showed that the usage of smaller weighting coefficients for U and V components leads to a better correlation with subjective quality.
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Selvan, B., and Roger J. Green. "Component video signal-to-noise ratio analysis of optical fiber video transmission systems." In Emerging OE Technologies, Bangalore, India, edited by Krishna Shenai, Ananth Selvarajan, C. K. N. Patel, C. N. R. Rao, B. S. Sonde, and Vijai K. Tripathi. SPIE, 1992. http://dx.doi.org/10.1117/12.636801.

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Misra, Kiran, Frank Bossen, and Andrew Segall. "On Cross Component Adaptive Loop Filter for Video Compression." In 2019 Picture Coding Symposium (PCS). IEEE, 2019. http://dx.doi.org/10.1109/pcs48520.2019.8954547.

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Reports on the topic "VIDEO COMPONENT"

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Qi, Yuan. Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada458739.

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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the INDOT Traffic Management Center have worked together to research and develop a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and the classification of vehicles involved in an incident. The goal was to develop a system and prepare for future implementation. The research team designed the new system, in­cluding the hardware and software components, the currently existing INDOT CCTV system, the database structure for traffic data extracted from the videos, and a user-friendly web-based server for identifying individual lanes on the highway and showing vehicle flowrates of each lane automatically. The preliminary prototype of some system components was implemented in the 2018–2019 JTRP projects, which provided the feasibility and structure of the automatic traffic status extraction from the video feeds. The 2019–2021 JTRP project focused on developing and improving many features’ functionality and computation speed to make the program run in real-time. The specific work in this 2021–2022 JTRP project is to improve the system further and implement it on INDOT’s premises. The system has the following features: vehicle-detection, road boundary detection, lane detection, vehicle count and flowrate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The research team has installed the system on one computer in INDOT for daily road traffic monitoring operations.
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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Stakes, Keith, and Joseph Willi. Study of the Fire Service Training Environment: Safety, Fidelity, and Exposure -- Acquired Structures. UL Firefighter Safety Research Institute, March 2019. http://dx.doi.org/10.54206/102376/ceci9490.

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Previous FSRI led research projects have focused on examining the fire environment with regards to current building construction methods, synthetic fuel loading, and best-practices in firefighting strategies and tactics. More than 50 experiments have been previously conducted utilizing furniture to produce vent-limited fire conditions, replicating the residential fire environment, and studying the methods of horizontal ventilation, vertical ventilation, and positive pressure attack. Tactical considerations generated from the research are intended to provide fire departments with information to evaluate their standard operating procedures and make improvements, if necessary, to increase the safety and effectiveness of firefighting crews. Unfortunately, there still exists a long standing disconnect between live-fire training and the fireground as evident by continued line of duty injury and death investigations that point directly to a lack of realistic yet safe training, which highlights a continued misunderstanding of fire dynamics within structures. The main objective of the Study of the Fire Service Training Environment: Safety, Fidelity, and Exposure is to evaluate training methods and fuel packages in several different structures commonly used across the fire service to provide and highlight considerations to increase both safety and fidelity. This report is focused on the evaluation of live-fire training in acquired structures. A full scale structure was constructed using a similar floor plan as in the research projects for horizontal ventilation, vertical ventilation, and positive pressure attack to provide a comparison between the modern fire environment and the training ground. The structure was instrumented which allowed for the quantification of fire behavior, the impact of various ventilation tactics, and provided the ability to directly compare these experiments with the previous research. Twelve full scale fire experiments were conducted within the test structure using two common training fuel packages: 1) pallets, and 2) pallets and oriented strand board (OSB). To compare the training fuels to modern furnishings, the experiments conducted were designed to replicate both fire and ventilation location as well as event timing to the previous research. Horizontal ventilation, vertical ventilation, and positive pressure attack methods were tested, examining the proximity of the vent location to the fire (near vs. far). Each ventilation configuration in this series was tested twice with one of the two training fuel loads. The quantification of the differences between modern furnishings and wood-based training fuel loads and the impact of different ventilation tactics is documented through a detailed comparison to the tactical fireground considerations from the previous research studies. The experiments were compared to identify how the type of fuel used in acquired structures impacts the safety and fidelity of live-fire training. The comparisons in this report characterized initial fire growth, the propensity for the fire to become ventilation limited, the fires response to ventilation, and peak thermal exposure to students and instructors. Comparisons examined components of both functional and physical fidelity. Video footage was used to assess the visual cues, a component of the fire environment that is often difficult to replicate in training due to fuel load restrictions. The thermal environment within the structure was compared between fuel packages with regards to the potential tenability for both students and instructors.
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Frantseva, Anastasiya. The video lectures course "Elements of Mathematical Logic" for students enrolled in the Pedagogical education direction, profile Primary education. Frantseva Anastasiya Sergeevna, April 2021. http://dx.doi.org/10.12731/frantseva.0411.14042021.

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The video lectures course is intended for full-time and part-time students enrolled in "Pedagogical education" direction, profile "Primary education" or "Primary education - Additional education". The course consists of four lectures on the section "Elements of Mathematical Logic" of the discipline "Theoretical Foundations of the Elementary Course in Mathematics" on the profile "Primary Education". The main lecture materials source is a textbook on mathematics for students of higher pedagogical educational institutions Stoilova L.P. (M.: Academy, 2014.464 p.). The content of the considered mathematics section is adapted to the professional needs of future primary school teachers. It is accompanied by examples of practice exercises from elementary school mathematics textbooks. The course assumes students productive learning activities, which they should carry out during the viewing. The logic’s studying contributes to the formation of the specified profile students of such professional skills as "the ability to carry out pedagogical activities for the implementation of primary general education programs", "the ability to develop methodological support for programs of primary general education." In addition, this section contributes to the formation of such universal and general professional skills as "the ability to perform searching, critical analysis and synthesis of information, to apply a systematic approach to solving the assigned tasks", "the ability to participate in the development of basic and additional educational programs, to design their individual components". The video lectures course was recorded at Irkutsk State University.
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Li, Baisong, and Bo Xu. PR-469-19604-Z01 Auto Diagnostic Method Development for Ultrasonic Flow Meter. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2022. http://dx.doi.org/10.55274/r0012204.

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The objectives of this research are to develop methods for performing ultrasonic flow meter (USM) diagnostic evaluation automatically and a software tool with all necessary attachments. USM-based diagnostics have been established and thirteen categories of knowledge rules of existing cases have been learned and integrated. A search engine for relevant standards, specifications, and other documents of the measurement system has been developed, which enables the free search of text content. Further, with the assistance of modern reasoning techniques, the authorized user only needs to configure an EXCEL file or scripts to activate the rules of the knowledge base by using Drools technology. Therefore, the integration of any potential knowledge rules is convenient and requires no professional skills or changing of the internal source code of the software. Secondly, a new flow meter diagnostic method is proposed based on multiple information methodologies and it is based on the real-time measurement data, operation data, and video data if applicable. The method is intended to identify abnormal states of the measurement system on a real-time basis with the assistance of the knowledge rules and to provide a strategy for mitigating the meter error of components within the measurement system. Thirdly, the applications of Gaussian quadrature diagnostics in daily acquisition nomination change situations and compressor-induced pulsating flow scenarios have been investigated and results are shown in the document. Based on the results, it can be concluded that the measurement uncertainty caused by compressor-induced pulsating flows is obvious, while the measurement uncertainty caused by daily acquisition nomination change is relatively smaller. The software is then developed based on the knowledge, the idea of multiple information methods, and applications of the Gaussian quadrature diagnostics method with all necessary attachments. The architecture, the algorithm, and a few examples are introduced.
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Scoular, Claire, and Ian Teo. Developing strategic plans for an aligned approach to 21st century skills integration. Australian Council for Educational Research, March 2021. http://dx.doi.org/10.37517/978-1-74286-626-0.

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This report describes an online course developed to support education systems to build an aligned and sustainable approach to integration of 21st Century Skills (21CS). 21CS are those skills that are considered particularly important to succeed in today’s knowledge-based society in which innovation and technology are predominant. Prominent examples include critical thinking, creative thinking, and collaboration, and such skills need to be better understood in order for them to be integrated. While different countries may have their own frameworks or priorities surrounding 21CS, a consistent approach to integration can still be achieved with a shared understanding from all stakeholders within the system. The course objectives focused on supporting countries to develop a strategic plan for 21CS integration, providing resources to aid that plan, and building capacity to implement the plan. The specific learning objectives were to: Understand components and steps leading to 21CS alignment; Conduct a needs analysis, identifying which steps are currently being met, and which steps need more attention; Develop a strategic plan, identifying which steps are to be prioritized and in which order; Gain insights from other education systems from reflections on successful developments and lessons learned; and Engage in discussion within education systems and with other countries about the emerging area of skills integration, as well as identify future directions. Course participants joined from across 16 Asia Pacific countries and from the Education Quality and Assessment Programme for the Pacific Community (EQAP). The course comprised of eight modules that were spread over three weeks, with content hosted online through the Moodle platform.Each module consisted of pre-recorded video content (30-60 minutes) and team and/or individual activities. The modules were supported by three live sessions that allowed participants to ask questions and share reflections in real time. The course concluded with a webinar that consisted of presentations that were delivered by one member from each Core Strategy Team who shared their team’s strategic plan and reflections from this course.
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Warrick, Arthur W., Gideon Oron, Mary M. Poulton, Rony Wallach, and Alex Furman. Multi-Dimensional Infiltration and Distribution of Water of Different Qualities and Solutes Related Through Artificial Neural Networks. United States Department of Agriculture, January 2009. http://dx.doi.org/10.32747/2009.7695865.bard.

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The project exploits the use of Artificial Neural Networks (ANN) to describe infiltration, water, and solute distribution in the soil during irrigation. It provides a method of simulating water and solute movement in the subsurface which, in principle, is different and has some advantages over the more common approach of numerical modeling of flow and transport equations. The five objectives were (i) Numerically develop a database for the prediction of water and solute distribution for irrigation; (ii) Develop predictive models using ANN; (iii) Develop an experimental (laboratory) database of water distribution with time; within a transparent flow cell by high resolution CCD video camera; (iv) Conduct field studies to provide basic data for developing and testing the ANN; and (v) Investigate the inclusion of water quality [salinity and organic matter (OM)] in an ANN model used for predicting infiltration and subsurface water distribution. A major accomplishment was the successful use of Moment Analysis (MA) to characterize “plumes of water” applied by various types of irrigation (including drip and gravity sources). The general idea is to describe the subsurface water patterns statistically in terms of only a few (often 3) parameters which can then be predicted by the ANN. It was shown that ellipses (in two dimensions) or ellipsoids (in three dimensions) can be depicted about the center of the plume. Any fraction of water added can be related to a ‘‘probability’’ curve relating the size of the ellipse (or ellipsoid) that contains that amount of water. The initial test of an ANN to predict the moments (and hence the water plume) was with numerically generated data for infiltration from surface and subsurface drip line and point sources in three contrasting soils. The underlying dataset consisted of 1,684,500 vectors (5 soils×5 discharge rates×3 initial conditions×1,123 nodes×20 print times) where each vector had eleven elements consisting of initial water content, hydraulic properties of the soil, flow rate, time and space coordinates. The output is an estimate of subsurface water distribution for essentially any soil property, initial condition or flow rate from a drip source. Following the formal development of the ANN, we have prepared a “user-friendly” version in a spreadsheet environment (in “Excel”). The input data are selected from appropriate values and the output is instantaneous resulting in a picture of the resulting water plume. The MA has also proven valuable, on its own merit, in the description of the flow in soil under laboratory conditions for both wettable and repellant soils. This includes non-Darcian flow examples and redistribution and well as infiltration. Field experiments were conducted in different agricultural fields and various water qualities in Israel. The obtained results will be the basis for the further ANN models development. Regions of high repellence were identified primarily under the canopy of various orchard crops, including citrus and persimmons. Also, increasing OM in the applied water lead to greater repellency. Major scientific implications are that the ANN offers an alternative to conventional flow and transport modeling and that MA is a powerful technique for describing the subsurface water distributions for normal (wettable) and repellant soil. Implications of the field measurements point to the special role of OM in affecting wettability, both from the irrigation water and from soil accumulation below canopies. Implications for agriculture are that a modified approach for drip system design should be adopted for open area crops and orchards, and taking into account the OM components both in the soil and in the applied waters.
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Methodology of sports working capacity level increase in basketball players on the basis of stimulation and rehabilitation means. Viktor V. Andreev, Igor E. Konovalov, Dmitriy S. Andreev, Aleksandr I. Morozov, March 2021. http://dx.doi.org/10.14526/2070-4798-2021-16-1-5-11.

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The increased level of modern sport development increases the demands claimed on different aspects of the training process with further rehabilitation organization and realization. That is why we still have the problem of an adequate and effective integral system creation. The mentioned direction has a direct connection with the activity of scientists, coaches- practitioners and sports clubs. They have to work within one mechanism of interaction. Materials. Studying the level of working capacity influence stimulation and organism rehabilitation means on an organism of basketball players from higher educational establishments on the basis of a wildgrowing plant root “snowdon rose” (Rhodiola rosea), classical massage with special oils and contrast shower application. Research methods. The following methods were used in the experiment: scientific-methodical sources analysis concerning the level of working capacity and athletes’ functional rehabilitation increase; functional tests; the received video material with the indices analysis; mathematical statistics. The research realization was on the basis of N.F. Katanov State University, Khakassia and Khakassia Technical Institute (branch) of Siberian Federal University in Abakan. Results. During the research work we stated qualitative and quantitative indices of athletes’ coordinating endurance with the help of video together with other mentioned above rehabilitation means; the received results were handled and we revealed positive changes in the studied information values of basketball players’ motor sphere and respiratory system. Conclusion. The results analysis, received after the research, helped to come to the following conclusion: out of the presented components the biological factor in a form of a wild-growing plant root “snowdon rose” (Rhodiola rosea) has the main influence on the working capacity and functional rehabilitation of basketball players’ organisms.
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PR-000-20COMP-R19 Why Pipe with Cracks Fail Compendium. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2020. http://dx.doi.org/10.55274/r0011783.

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The PRCI Technical Committees have carried many research projects related to the subject of cracks in pipe and, more specifically, the failure mechanisms associated with pipe that contains cracks. This document presents a summary of past PRCI funded studies related to the reasons and mechanisms as to how pipe and pipe components that contain cracks fail. Since not all studies sponsored by other industry groups (e.g., API, EPRG, APIA, etc.) or by individual pipelines companies are not included, this report does not represent a review of the topic in the broader industry-wide sense. Instead, it is designed to pro-vide a guide to past work so that current PRCI members and its research contractors can identify and locate project reports that might be of use in understanding the processes involved with failures of pipes that contain cracks.
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