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1
Belim, S. V., and P. G. Cherepanov. "Digital video watermarking algorithm robust against video container format changes." Journal of Physics: Conference Series 1260 (August 2019): 022001. http://dx.doi.org/10.1088/1742-6596/1260/2/022001.
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Yang, Pengpeng, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, and Alessandro Piva. "Efficient Video Integrity Analysis Through Container Characterization." IEEE Journal of Selected Topics in Signal Processing 14, no. 5 (August 2020): 947–54. http://dx.doi.org/10.1109/jstsp.2020.3008088.
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Бараннік, Володимир Вікторович, Наталія Вячеславівна Бараннік, Олександр Олексійович Ігнатьєв, and Вікторія Вікторівна Хіменко. "Метод непрямого приховування інформації в процесі стиснення відеозображень." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (November 29, 2021): 119–31. http://dx.doi.org/10.32620/reks.2021.4.10.
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It is substantiated that steganographic systems should be used to ensure the protection of special information resources in conditions of its prompt delivery. Here, steganographic technologies are an integral part of complex information protection systems. Simultaneously, for steganographic systems, there is a contradiction between the density of embedded data and level of information compaction of video container (level of reduction of volume bit volume of compact presented video image concerning bit volume of an initial video image). It leads to the fact that under the conditions of the required quality (reliability) of digital video information, the bit rate level of the covert channel is insufficient. Consequently, the scientific-applied problem concerns the necessity to increase the integrity (the level of correspondence of the hidden information before its embedding in a video container and after its extraction) and bit rate of the hidden channel of special information transmission. It is relevant. The solution of the described problem in the field of application of steganographic transformations can be realized based on the application of two different approaches. The first approach is based on methods of direct message embedding. But this approach is characterized by introducing distortions in the video images used as a container. Therefore, changes in structural and statistical patterns in the syntactic description of the video container happen. It reduces the potential for video container compaction. The second approach to creating steganographic transformation methods is based on information hiding using indirect embedding technique. Here, the embedding process exploits the functional dependency between the elements of the video container and the elements of the embedded message. Setting a specific dependency between the elements in the video container corresponds to the embedded element with a value of "0" or "1". However, the existing indirect steganographic transformation methods have a disadvantage. It consists of an insufficient value of embedded data density. To eliminate these disadvantages, it is proposed to develop an approach that allows using not only psychovisual but also structural redundancy of video container for concealment. Therefore, the research objective of this paper is to develop a method for indirect information withholding in the video container compression process to increase the bit rate of the hidden message channel. In the process of research, a steganographic multiagent system is constructed, which allows embedding hidden message elements without loss of information based on the indirect approach by modifying the active bases of the multiagent basis considering their uncertainty. To select transformants (data sets) as containers for information embedding, the requirement of the existence of a base system with all active bases is taken into account. The number of embedded bits of the hidden message is equal to the number of active bases in the base system of the multiadic space. Because of the made experiments, the following results have been received: in the process of embedding messages based on the created method distortions in a video container is not brought; for the created method the additional increase in the hidden channel bit rate in average 5 … 7 times are reached.
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Silva-de-Souza, Wellington, Arman Iranfar, Anderson Bráulio, Marina Zapater, Samuel Xavier-de-Souza, Katzalin Olcoz, and David Atienza. "Containergy—A Container-Based Energy and Performance Profiling Tool for Next Generation Workloads." Energies 13, no. 9 (May 1, 2020): 2162. http://dx.doi.org/10.3390/en13092162.
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Run-time profiling of software applications is key to energy efficiency. Even the most optimized hardware combined to an optimally designed software may become inefficient if operated poorly. Moreover, the diversification of modern computing platforms and broadening of their run-time configuration space make the task of optimally operating software ever more complex. With the growing financial and environmental impact of data center operation and cloud-based applications, optimal software operation becomes increasingly more relevant to existing and next-generation workloads. In order to guide software operation towards energy savings, energy and performance data must be gathered to provide a meaningful assessment of the application behavior under different system configurations, which is not appropriately addressed in existing tools. In this work we present Containergy, a new performance evaluation and profiling tool that uses software containers to perform application run-time assessment, providing energy and performance profiling data with negligible overhead (below 2%). It is focused on energy efficiency for next generation workloads. Practical experiments with emerging workloads, such as video transcoding and machine-learning image classification, are presented. The profiling results are analyzed in terms of performance and energy savings under a Quality-of-Service (QoS) perspective. For video transcoding, we verified that wrong choices in the configuration space can lead to an increase above 300% in energy consumption for the same task and operational levels. Considering the image classification case study, the results show that the choice of the machine-learning algorithm and model affect significantly the energy efficiency. Profiling datasets of AlexNet and SqueezeNet, which present similar accuracy, indicate that the latter represents 55.8% in energy saving compared to the former.
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Kim, Dong-Min, Ji-Hoon Sung, and Min-Gu Hwang. "Forgery Analysis of Smart Phone Video by using Unique STCO Pattern in Video Container." Korean Academy of Scientific Criminal Investigation 15, no. 4 (December 30, 2021): 264–73. http://dx.doi.org/10.20297/jsci.2021.15.4.264.
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Poetra, F. R., S. Prabowo, S. A. Karimah, and R. D. Prayogo. "Performance analysis of video streaming service migration using container orchestration." IOP Conference Series: Materials Science and Engineering 830 (May 19, 2020): 022100. http://dx.doi.org/10.1088/1757-899x/830/2/022100.
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Xavier, Rafael, Lisandro Zambenedetti Granville, Filip De Turck, and Bruno Volckaert. "Preemptive Resource Provisioning for Container-Based Audio/Video Encrypted Collaboration Applications." Journal of Network and Systems Management 28, no. 4 (June 11, 2020): 1391–426. http://dx.doi.org/10.1007/s10922-020-09543-y.
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Barannik, Volodymyr, Natalia Barannik, and Oleksandr Slobodyanyuk. "INDIRECT INFORMATION HIDING TECHNOLOGY ON A MULTIADIC BASIS." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 11, no. 4 (December 20, 2021): 14–17. http://dx.doi.org/10.35784/iapgos.2812.
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It is shown that the current direction of increasing the safety of information resources when transmitting information in info-communication systems is the use of methods of steganographic instruction in video imagery. The effectiveness of such methods is significantly increased when used in a complex of methods of concealment, which are based on the principles of inconsistent and cosmic communication. At the same time, existing methods of steganographic are used in the process of insertion of information mainly only laws, empty features of visual perception of video images. So, it is justified that the scientific and applied problem, which is to increase the density of embedded messages in the video container with a given level of their reliability, is relevant. The solution of this problem is based on the solution of the contradiction, which concerns the fact that increasing the density of embedded data leads to a decrease in the bit rate of the video container, steganalysis stability, reliability of special information, and video container. Therefore, the research aims to develop a methodology for the steganographic embedding of information, taking into account the regularities of the video container, which are generated by its structural and structural-statistical features. The solution to the posed problem of applying steganographic transformations is proposed to be realised by methods of indirectly embedding parts of the hidden message in certain conditions or functional relationships. The possibility of creating steganographic transformations regarding the indirect embedding and extraction of hidden information in a multiadic basis by modifying the underlying basis system within an admissible set is demonstrated. It is shown that the multiadic system, which is created in the spectral space of DCT transforms, has the potential to form a set of admissible modifications of basis systems.
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Nyman, Elizabeth. "The Island as Container: Islands, Archipelagos, and Player Movement in Video Games." Island Studies Journal 8, no. 2 (2013): 269–84. http://dx.doi.org/10.24043/isj.285.
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The use of islands and archipelagos as settings in video games has proven enduring and popular: these locations are usually shown to be dangerous places where travel can be difficult. The use of island and archipelago settings in this medium developed along with conventions about water in general being an obstacle to traverse, meaning that player characters that experience islands and archipelagoes are forced to discover ways to travel around, over, and away from them. Islands remain popular settings because they work well with players’ preconceptions about these spaces, with people’s understandings of natural boundaries that make travel difficult, and with game designers’ intent to control player character movement throughout a world that is necessarily constrained by the reach of technology.
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Almatarneh, Feras Mohammed. "Investigating the Network Characteristics of Two Popular Web-Based Video Streaming Sites." European Scientific Journal, ESJ 13, no. 33 (November 30, 2017): 305. http://dx.doi.org/10.19044/esj.2017.v13n33p305.
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The determinants of the strategies to be employed by video streaming sites are application (mobile devices or web browsers) and container of the video application. They affect video streaming network characteristics, which is often the traffic flow, and its quality. It is against this background that studies on streaming strategies suggested the need to investigate and identify the relationship between buffer time, video stream protocol, packet speed and size, upload time, and waiting period, specifically to aid network administrative support in case of network traffic bottlenecks. In view of this, this study investigates the network characteristics of YouTube and Vimeo, using experimental methodology, and involving WireShark as network analyzer. Google Chrome and Firefox are the web browsers employed, while packet size, protocols, packet interval, TCP window size and accumulation ratio are the metrics. Short ON-OFF, Long ON-OFF, and No ON-OFF cycles are the three streaming strategies identified. It is further shown that both Vimeo and YouTube employ these strategies but the choice depends on the container of the video streamed.
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Iuliani, Massimo, Dasara Shullani, Marco Fontani, Saverio Meucci, and Alessandro Piva. "A Video Forensic Framework for the Unsupervised Analysis of MP4-Like File Container." IEEE Transactions on Information Forensics and Security 14, no. 3 (March 2019): 635–45. http://dx.doi.org/10.1109/tifs.2018.2859760.
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Kim, J. Y. "A TCP/IP-based remote control system for yard cranes in a port container terminal." Robotica 24, no. 5 (February 17, 2006): 613–20. http://dx.doi.org/10.1017/s0263574706002694.
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If one operator in a remote operating room can operate 4 ∼ 5 cranes remotely, which are yard cranes for container loading/unloading in a port container terminal, the port loading/unloading efficiency will dramatically be improved through productivity increase, cost reduction, and so on. This study presents a remote crane control system for container loading/unloading yard cranes of port container terminals. First, a wireless web-based video and audio transmission system to transmit the images and the sounds of a craneyard is designed by using 3 web cameras and a microphone. Next, a TCP/IP-based remote crane control system is presented on the basis of the delay performance simulations of TCP (Transmission Control Protocol) and UDP (User Datagram Protocol) for real-time remote control. The simulation results show that TCP is more advantageous for remote crane control on a local network.
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Lee, Jaecheul. "Deep learning–assisted real-time container corner casting recognition." International Journal of Distributed Sensor Networks 15, no. 1 (January 2019): 155014771882446. http://dx.doi.org/10.1177/1550147718824462.
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Intelligent automated crane systems are now an integral part of container port automation. Accurate corner casting detection boosts the performance of an automated crane system which ultimately automates ships loading and unloading. Existing techniques use various traditional laser-based and vision-based methods for corner casting detection. Challenging weather conditions, varying lighting conditions, light reflections from ground, and container rusting conditions are the main problems that affect the performance of automated cranes. From this line of research, we propose an end-to-end method that takes a low-quality video input and produces bounding boxes around corner castings by applying a recurrent neural network along with long short-term memory units. The expressive image features from GoogLeNet are used to produce intermediate image representations that are further tuned for our system. The proposed system uses back-propagation to allow joint tuning of all components. At least, four cameras are mounted on each crane and input stream is combined into a single image to reduce the computational cost. The proposed system outperforms all existing methods in terms of precision, recall, and F-measure. The proposed method is implemented in a real-time port and produces more than 98% accuracy in all conditions.
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Moid, Azfar, and Abraham O. Fapojuwo. "A Cross-Layer Framework for Efficient Streaming of H.264 Video over IEEE 802.11 Networks." Journal of Computer Systems, Networks, and Communications 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/682813.
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This paper presents a framework for reliable and efficient streaming of H.264 video over an IEEE 802.11-based wireless network. The framework relies on a cross-layer mechanism that jointly adapts the video transcoding parameters at the application layer and the video transmission parameters at the data-link layer to the network conditions defined by buffer length and wireless propagation channel. The effectiveness of the proposed framework is demonstrated through the transmission of three test video sequences (Akiyo, Container, andForeman) having different degrees of motion over an IEEE802.11 wireless network. Simulation results show that the proposed cross-layer-based framework provides an enhancement of up to 3 dB in the video quality with a negligible increase (<5%) in the packet processing time. Hence, the proposed framework achieves a good balance in the tradeoff between video quality and packet processing time. The proposed framework, along with its performance results, provides valuable insights on the selection of network parameter values for efficient and reliable transmission of video applications in wireless networks.
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Abdullah, Aswan, Adelina Ibrahim, and Erwin Gunawan. "Analisis Performansi Network Function Virtualization Pada Teknologi Containers." Jurnal Teknik Informatika (J-Tifa) 3, no. 2 (September 3, 2020): 23–31. http://dx.doi.org/10.52046/j-tifa.v3i2.1053.
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Sebagai teknologi virtualisasi yang baru, banyak hal yang perlu digali tentang teknologi container. Penelitian ini bertujuan untuk mengukur kehandalan dari Network Function Virtualization (NFV) yang akan dibangun dan dijalankan diatas Docker menggunakan virtual router dan dapat terhubung dengan jaringan yang real. Penelitian ini bertujuan untuk mengetahui performansi Docker Containers dan Native ketika menjalankan virtual router yang dilewatkan oleh layanan FTP menggunakan parameter Quality of Service (QoS). Pada penelitian ini dilakukan analisa perbandingan perfomansi fungsi jaringan antara Docker Containers dan Native di Laboratorium Infrastruktur Teknologi Informasi Universitas Muhammadiyah Maluku Utara menggunakan layanan FTP (File Transfer Protocol). Parameter QoS yang diamati adalah berupa Delay, Packet Loss, Troughput dan apakah ada perbedaan pada saat Upload dan Download file berupa video dengan kapasitas 1Gb dan 500Mb antara Docker Containers dan Native, pengujian dilakukan dengan pengambilan data selama duakali percobaan, kesimpulan dari penelitian ini bagaimana melakukan perbandingan QoS dari Docker Containers dan Native
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Brenninkmeijer, C. A. M., P. Crutzen, F. Boumard, T. Dauer, B. Dix, R. Ebinghaus, D. Filippi, et al. "Civil aircraft for the regular investigation of the atmosphere based on an instrumented container: the new CARIBIC system." Atmospheric Chemistry and Physics Discussions 7, no. 2 (April 18, 2007): 5277–339. http://dx.doi.org/10.5194/acpd-7-5277-2007.
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Abstract. A large airfreight container with automated instruments for measurement of atmospheric gases and trace compounds was operated on a monthly basis onboard a Boeing 767-300 ER of LTU International Airways during long-distance flights from 1997 to 2002 (CARIBIC, Civil Aircraft for Regular Investigation of the Atmosphere Based on an Instrument Container, http://www.caribic-atmospheric.com). Subsequently a more advanced system has been developed, using a larger capacity container with additional equipment and an improved inlet system. CARIBIC phase #2 was implemented on a new long-range aircraft type Airbus A340-600 of the Lufthansa German Airlines (Star Alliance) in December 2004, creating a powerful flying observatory. The instrument package comprises detectors for the measurement of O3, total and gaseous H2O, NO and NOy, CO, CO2, O2, Hg, and number concentrations of sub-micrometer particles (>4 nm, >12 nm, and >18 nm diameter). Furthermore, an optical particle counter and a proton transfer mass spectrometer (PTR-MS) are installed. Aerosol samples are collected for analyses of elemental composition and particle morphology after flight. Air samples are taken in glass containers for laboratory analyses of hydrocarbons, halocarbons and greenhouse gases in several laboratories. Absorption tubes collect oxygenated volatile organic compounds. Three differential optical absorption spectrometers (DOAS) with their telescopes mounted in the inlet system measure atmospheric trace gases such as BrO, HONO, and NO2. A video camera mounted in the inlet provides information about clouds along the flight track. Here we describe the flying observatory and report examples of measurement results.
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Brenninkmeijer, C. A. M., P. Crutzen, F. Boumard, T. Dauer, B. Dix, R. Ebinghaus, D. Filippi, et al. "Civil Aircraft for the regular investigation of the atmosphere based on an instrumented container: The new CARIBIC system." Atmospheric Chemistry and Physics 7, no. 18 (September 27, 2007): 4953–76. http://dx.doi.org/10.5194/acp-7-4953-2007.
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Abstract. An airfreight container with automated instruments for measurement of atmospheric gases and trace compounds was operated on a monthly basis onboard a Boeing 767-300 ER of LTU International Airways during long-distance flights from 1997 to 2002 (CARIBIC, Civil Aircraft for Regular Investigation of the Atmosphere Based on an Instrument Container, http://www.caribic-atmospheric.com). Subsequently a more advanced system has been developed, using a larger capacity container with additional equipment and an improved inlet system. CARIBIC phase #2 was implemented on a new long-range aircraft type Airbus A340-600 of the Lufthansa German Airlines (Star Alliance) in December 2004, creating a powerful flying observatory. The instrument package comprises detectors for the measurement of O3, total and gaseous H2O, NO and NOy, CO, CO2, O2, Hg, and number concentrations of sub-micrometer particles (>4 nm, >12 nm, and >18 nm diameter). Furthermore, an optical particle counter (OPC) and a proton transfer mass spectrometer (PTR-MS) are incorporated. Aerosol samples are collected for analysis of elemental composition and particle morphology after flight. Air samples are taken in glass containers for laboratory analyses of hydrocarbons, halocarbons and greenhouse gases (including isotopic composition of CO2) in several laboratories. Absorption tubes collect oxygenated volatile organic compounds. Three differential optical absorption spectrometers (DOAS) with their telescopes mounted in the inlet system measure atmospheric trace gases such as BrO, HONO, and NO2. A video camera mounted in the inlet provides information about clouds along the flight track. The flying observatory, its equipment and examples of measurement results are reported.
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Artamonova, Maria Y., and Dmitry A. Zemlyankin. "DIGITALIZATION OF CONTAINER TRANSPORT BY RAIL AS A NEW STAGE OF LOGISTICS DEVELOPMENT IN RUSSIA." Russian Journal of Water Transport, no. 65 (November 23, 2020): 89–99. http://dx.doi.org/10.37890/jwt.vi65.131.
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The work is devoted to solving the problem of the insufficient level of digitalization of logistics industry, in particular, container transportation on Russian railways. The aim of the work is to determine the level of development of IT integration in railway transport based on consideration of one of the most modern trends - cloud services or “marketplaces. Today, in order to maintain positions in the cargo transportation market, it is necessary to develop digital services. Russian rail transportation market has always been conservative. To change it, it is necessary to introduce innovative developments actively: new IT services that are not on the container market yet. The paper proposes to work out the issue of using mathematical modeling of each cell of the transport process, including the collection of transportation video analytics, to create a "transport marketplace" from various data groups based on cloud technology. The implementation of these proposals will help to track cargo, speed up logistics processes and become a new driver for business, thereby saving time and money on paperwork and storage, faster customs operations with cargo.
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Yunita, Kadek Risma. "Perancangan Media Video Company Profile Bank Sampah NTB Mandiri." Jurnal SASAK : Desain Visual dan Komunikasi 3, no. 1 (May 19, 2021): 37–47. http://dx.doi.org/10.30812/sasak.v3i1.1108.
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Garbage is one of the problems in Indonesia including in West Nusa Tenggara which has become a global problem, garbage that has accumulated and is not properly processed or handled can cause environmental pollution. One way that can be done to overcome the problem of waste is separating waste according to its type (organic and inorganic), by doing 3R (Reduce, Reuse, Recycle) and also by recycling waste. Currently the handling of waste recycling by the community has been carried out at the Waste Bank. The NTB Mandiri Garbage Bank is a container or place used to save waste, organic waste can be processed into compost while inorganic waste can be recycled into several handicraft items such as bags, tablecloths tables, wallets, key chains, and several other items made of plastic and used tires or other inorganic waste. This waste will later be saved in the form of money and rewarded according to its type. Therefore, a company profile video of the NTB MANDIRI Waste Bank will be designed to help introduce it to the community.
Keywords - Video, Company Profile, Waste Bank
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Duan, Xintao, Lei Li, Yao Su, Wenxin Wang, En Zhang, and Xianfang Wang. "DIGDH: A Novel Framework of Difference Image Grafting Deep Hiding for Image Data Hiding." Symmetry 14, no. 1 (January 13, 2022): 151. http://dx.doi.org/10.3390/sym14010151.
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Data hiding is the technique of embedding data into video or audio media. With the development of deep neural networks (DNN), the quality of images generated by novel data hiding methods based on DNN is getting better. However, there is still room for the similarity between the original images and the images generated by the DNN models which were trained based on the existing hiding frameworks to improve, and it is hard for the receiver to distinguish whether the container image is from the real sender. We propose a framework by introducing a key_img for using the over-fitting characteristic of DNN and combined with difference image grafting symmetrically, named difference image grafting deep hiding (DIGDH). The key_img can be used to identify whether the container image is from the real sender easily. The experimental results show that without changing the structures of networks, the models trained based on the proposed framework can generate images with higher similarity to original cover and secret images. According to the analysis results of the steganalysis tool named StegExpose, the container images generated by the hiding model trained based on the proposed framework is closer to the random distribution.
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Carlson, Craig S., Nicole Anderton, Antje Pohl, Andrew J. Smith, Nobuki Kudo, and Michiel Postema. "Rapid tablet swelling and disintegration during exposure to brightness-mode ultrasound." Japanese Journal of Applied Physics 61, SG (April 7, 2022): SG1030. http://dx.doi.org/10.35848/1347-4065/ac467f.
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Abstract Controlled tablet disintegration is useful for chemical consistency checks. This study monitored the swelling of 54 analgesia tablets from two different batches, during 13-6-MHz brightness-mode sonication and simultaneous video recording. The tablets were placed on an acoustic reflector inside a container and sonicated from the top. Sonication shortened the displacement half-life by 17%–27%. During tablet swelling, their speed of sound increased linearly, confirming the linearity of this process. Diagnostic ultrasound significantly decreased tablet disintegration times, supporting the ultrasound-microbubble interaction hypothesis.
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Kozlov, N. V., E. A. Mosheva, and A. V. Shmyrov. "Visualization of hydrodynamic and physico-chemical processes in rotating and vibrating containers." Journal of Physics: Conference Series 2127, no. 1 (November 1, 2021): 012004. http://dx.doi.org/10.1088/1742-6596/2127/1/012004.
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Abstract Variable inertial fields are an efficient way to control the behaviour of hydrodynamic systems. Forces of inertia can be used, for example, to stabilize or destabilize systems with an interface or density gradient, to mix multiphase or non-isothermal fluids. The implementation of this approach means that liquids fill the periodically moving containers. In this paper, the situations are considered when the containers perform either rotation or translational vibrations. Methods for measuring the density and velocity fields of convective flows in reacting hydrodynamic systems are described. Interferometry is used to visualize the density distribution. Particle image velocimetry (PIV) is used to study the structure and velocity of the flows. Optical instruments are installed stationary in the laboratory system. For video recording, a camera shutter is synchronized with the motion of a container, and thus the images are captured in a fixed phase of oscillations or rotation. Constructions of the containers make it possible to illuminate the working volume through transparent walls at different angles or in different planes. They also provide a compensation for the centrifugal pressure and allow interference cells to be used in overload conditions. The successful application of the methods in experimental studies of chemo-hydrodynamic processes is demonstrated.
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El Rezen Purba, Doni, and Desinta Purba. "Text Insertion By Utilizing Masking-Filtering Algorithms As Part of Text Message Security." Jurnal Info Sains : Informatika dan Sains 11, no. 1 (March 1, 2021): 1–4. http://dx.doi.org/10.54209/infosains.v11i1.18.
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For a secret message to be read and understood by a specific person only, a way is needed to hide the message, namely by steganography. Steganography is the concealment of secret messages in other media, such as images, audio, or video, so that the media inserted into the message looks as usual. Digital photos are one of the container media that are widely used for data hiding. However, when processing images such as compression, rotation, noise, and so on, confidential messages in the picture are prone to damage or loss. Then it takes the correct steganography method to hide secret messages into images to keep messages safe, not damaged even if the container image is manipulated, and the hidden message can be extracted again. on this thesis, applied masking method – filtering. Masking-filtering is included in the spatial domain. Message hiding is done by manipulating the luminance value of the image. Its use is applied to color or grayscale images. Masking serves as a tagging place on the picture that can be inserted message. Filtering passes a value to the marked section. the result is a stego image where the news is integrated with the container image, more robust to image processing when compared to methods that are also classified in the spatial domain, such as the least significant bit.
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Nakanishi, Masato, Seiichi Sudo, and Hideya Nishiyama. "Dynamic Interfacial Phenomena at Water-Magnetic Fluid System Subject to Alternating Magnetic Field." Materials Science Forum 856 (May 2016): 15–20. http://dx.doi.org/10.4028/www.scientific.net/msf.856.15.
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Responses of a magnetic fluid interface adsorbed on a small permanent magnet in water container subjected to an alternating magnetic field were studied with a high-speed video camera system. The directions of the external alternating magnetic field were parallel and anti-parallel to that of the permanent magnet. It was found that the interface of water-magnetic fluid responds to the external alternating magnetic field in elongation and contraction with Rosensweig instability at the interface. Frequency characteristics of the interface response of water-magnetic fluid system subjected to alternating magnetic field were revealed over a wide frequency band experimentally.
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Zhang, Y., Masato Yoshioka, and Shin-Ichiro Hira. "Study on Magnetic Barrel Machine Equipped with Three-Dimensional Arrangement of Magnets." Key Engineering Materials 329 (January 2007): 761–66. http://dx.doi.org/10.4028/www.scientific.net/kem.329.761.
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At present, a commercially available magnetic barrel machine equipped with permanent magnets has some faults arising from constructional reason. That is, grinding or finishing ability is different from place to place in the machining region, resulting in the limitation on the region we can use in the container of workpieces. Therefore, in this research, authors made the new magnetic barrel machine equipped with three dimensional (3D) magnet arrangement to overcome these faults. The grinding ability of the new 3D magnetic barrel machine converted was experimentally examined, and compared with that of the traditional magnetic barrel machine. As a result, it was shown that we can use much broader region in the new 3D machine. It was also shown that the grinding ability became higher. The distribution of barrel media in action was recorded by means of a high speed video camera. It was clarified that the media rose up higher and were distributed more uniformly in the container by the effect of the magnet block newly set up. It was supposed that this must be the reason for the above-mentioned improvement of grinding ability.
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Ayoub, M. M. "Simulation for sagittal plane lifting activities." Occupational Ergonomics 3, no. 3 (September 11, 2003): 141–51. http://dx.doi.org/10.3233/oer-2003-3301.
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Biomechanics provide estimation of various mechanical stresses acting on the body while a person manually handles an object. Although motion analysis systems are available for dynamic biomechanical analyses, uses of such systems are mostly performed in laboratory due to high cost of the equipment and the expertise required in using them. Industrial ergonomists have limited access to dynamic biomechanical analyses. This paper reports a dynamic simulation model developed for biomechanical analyses of sagittal lifting activities. The model simulates the dynamic motion of lifting tasks for five body joints: the elbow, shoulder, hip, knee, and ankle. The inputs of the model include initial and final joint postures; gender, weight, and height; weight of load; lifting height; and container dimensions. The output provides the angular trajectories of the five joints. The model without any video inputs predicts the motion patterns of the lift. Actual motion data were collected using 10 subjects in the laboratory for 360 lifts which included 12 lifting tasks in combination of two lifting heights, two container sizes, and three weights of load. Good results were obtained from the dynamic planar motion simulation model. The predicted motion patterns from the simulation closely resemble the observed motion pattern.
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Yang, Hai Qing, Jing Bo Cai, Guo Quan Zeng, and Hong Xi Wu. "Monitoring Dissolved Oxygen Concentration (DOC) in Prawn Aquiculture Water Environment Based on Biological Behavior Characteristics." Advanced Engineering Forum 1 (September 2011): 86–91. http://dx.doi.org/10.4028/www.scientific.net/aef.1.86.
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Biological early warning system using physiological and behavioral responses of living organisms to water quality has been given much attention during past years. This study applied a digital video recording system to monitor prawn behavior under different water quality parameters. Three groups of prawn were used for calibration set while one group was for the validation of calibration results. A special water container was built for this experiment. The targeted water quality parameters, e.g. water salinity, pH and dissolved oxygen concentration (DOC), were adjusted by adding different chemicals in the water container. The calibration result shows that water salinity and pH have no significant impact on prawn behavior while changing DOC in water makes great influence on moving speed of prawns. When DOC is above 3.0 mg/l, prawns move about 80 pixels/s; when DOC is between 2.6 and 1.74 mg/l, prawns move at 120 pixels/s; and when DOC is below 1.2 mg/l, prawns move up to 1000-1200 pixels/s. The validation set of prawns under changing DOC from 1.82 to 0.54 mg/l confirms the calibration results. This proposed method is worthy of being further investigated for practically monitoring aquiculture environment.
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V, Dr Kiran, and Rahul Raj D N. "Segregating Signaling and Media Planes into Different containers." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 22, 2021): 1373–82. http://dx.doi.org/10.51201/jusst/21/06452.
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Scalability is an important aspect of communication networks. With the ascent of SIP and associated modern real-time protocols, IP telephony has become a revolutionary technology in connecting users through real-time voice communications with enabled video and instant messaging capabilities. B2BUA is a SIP server that provides call management and authentication functionality by reformulating the request and routing the traffic to other user agents in the network. It comprises signaling and media entities that handle all control signaling messages and real-time data(media) information respectively. The signaling and entities run as different processes in the same container. Such an architecture encounters a large CPU utilization after a specific number of maximum calls due to increase traffic flowing within the same node. Further Packet processing is CPU intensive and there is a need for an architecture that scales well with increasing traffic without hitting the CPU performance. The paper presents the design of decoupled architecture for Signaling and Media entities by running both the processes in different containers. With such an approach, one Signaling entity can communicate with multiple Media entities or vice versa thereby providing a suitable scalable solution to deal with the increased traffic and further maintaining the system efficiency. The paper is concluded by highlighting the difference between Kubernetes and OpenStack for the proposed architecture
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Osman, Youssef, Reed Dennis, and Khalid Elgazzar. "Yield Estimation and Visualization Solution for Precision Agriculture." Sensors 21, no. 19 (October 7, 2021): 6657. http://dx.doi.org/10.3390/s21196657.
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We present an end-to-end smart harvesting solution for precision agriculture. Our proposed pipeline begins with yield estimation that is done through the use of object detection and tracking to count fruit within a video. We use and train You Only Look Once model (YOLO) on video clips of apples, oranges and pumpkins. The bounding boxes obtained through objection detection are used as an input to our selected tracking model, DeepSORT. The original version of DeepSORT is unusable with fruit data, as the appearance feature extractor only works with people. We implement ResNet as DeepSORT’s new feature extractor, which is lightweight, accurate and generically works on different fruits. Our yield estimation module shows accuracy between 91–95% on real footage of apple trees. Our modification successfully works for counting oranges and pumpkins, with an accuracy of 79% and 93.9% with no need for training. Our framework additionally includes a visualization of the yield. This is done through the incorporation of geospatial data. We also propose a mechanism to annotate a set of frames with a respective GPS coordinate. During counting, the count within the set of frames and the matching GPS coordinate are recorded, which we then visualize on a map. We leverage this information to propose an optimal container placement solution. Our proposed solution involves minimizing the number of containers to place across the field before harvest, based on a set of constraints. This acts as a decision support system for the farmer to make efficient plans for logistics, such as labor, equipment and gathering paths before harvest. Our work serves as a blueprint for future agriculture decision support systems that can aid in many other aspects of farming.
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Jackson, Angus, Rodger Tomlinson, Bobbie Corbett, and Darrell Strauss. "LONG TERM PERFORMANCE OF A SUBMERGED COASTAL CONTROL STRUCTURE: A CASE STUDY OF THE NARROWNECK MULTI-FUNCTIONAL ARTIFICIAL REEF." Coastal Engineering Proceedings 1, no. 33 (December 14, 2012): 54. http://dx.doi.org/10.9753/icce.v33.structures.54.
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In response to the increasing occurrences of beach erosion along Surfers Paradise and Main Beaches - Gold Coast, Australia, the Northern Gold Coast Beach Protection Strategy [NGCBPS] was developed to widen the beach by 20-30m as well as improving surfing conditions as a secondary objective. The strategy, implemented in 1999- 2000, involved large-scale beach nourishment and construction of a submerged breakwater “reef” to act as a control point at Narrowneck. Construction of the reef involved innovative filling and placement methods using very large sand filled geotextile containers coupled with significant advances with regards to design of the geotextile material and containers. In the 11 years since construction, there has been substantial monitoring of the project since its completion in late 2000 including: - video imaging using webcams; hydrographic and beach surveys; aerial and oblique photography; surf and surf safety observations and GPS surfing track plots; and geotextile container condition and stability. This paper presents an update on the performance of the reef over the last four years. In particular, the response of the structure and the shoreline to a series of major storm events in 2009 has been examined. The results have shown that the erosion caused by these major events was accommodated within the wider beach created in 1999. Over the next 2 years there was a gradual recovery in the lee of the reef with a subtle groyne effect resulting in an even larger increase in the width of the updrift beach. A detailed underwater condition survey was also undertaken in 2011, to determine changes in the condition of the geotextile containers. This revealed a number of containers missing or damaged, and that seaward containers were covered by sand. The marine habitat which has been a feature of the reef has been impacted by the increased coverage of sand, but still shows high abundance and biodiversity.
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Cevallos Moreno, Jesús Fernando, Rebecca Sattler, Raúl P. Caulier Cisterna, Lorenzo Ricciardi Celsi, Aminael Sánchez Rodríguez, and Massimo Mecella. "Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach." Future Internet 13, no. 11 (October 29, 2021): 278. http://dx.doi.org/10.3390/fi13110278.
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Video delivery is exploiting 5G networks to enable higher server consolidation and deployment flexibility. Performance optimization is also a key target in such network systems. We present a multi-objective optimization framework for service function chain deployment in the particular context of Live-Streaming in virtualized content delivery networks using deep reinforcement learning. We use an Enhanced Exploration, Dense-reward mechanism over a Dueling Double Deep Q Network (E2-D4QN). Our model assumes to use network function virtualization at the container level. We carefully model processing times as a function of current resource utilization in data ingestion and streaming processes. We assess the performance of our algorithm under bounded network resource conditions to build a safe exploration strategy that enables the market entry of new bounded-budget vCDN players. Trace-driven simulations with real-world data reveal that our approach is the only one to adapt to the complexity of the particular context of Live-Video delivery concerning the state-of-art algorithms designed for general-case service function chain deployment. In particular, our simulation test revealed a substantial QoS/QoE performance improvement in terms of session acceptance ratio against the compared algorithms while keeping operational costs within proper bounds.
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Taylor, Brendan D., Ross L. Goldingay, and John M. Lindsay. "Horizontal or vertical? Camera trap orientations and recording modes for detecting potoroos, bandicoots and pademelons." Australian Mammalogy 36, no. 1 (2014): 60. http://dx.doi.org/10.1071/am13012.
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Camera traps can detect rare and cryptic species, and may enable description of the stability of populations of threatened species. We investigated the relative performance of cameras oriented horizontally or vertically, and recording mode (still and video) to detect the vulnerable long-nosed potoroo (Potorous tridactylus) as a precursor to population monitoring. We established camera traps for periods of 13–21 days across 21 sites in Richmond Range National Park in north-east New South Wales. Each camera trap set consisted of three KeepGuard KG680V cameras directed at a bait container – one horizontal and one vertical camera in still mode and one horizontal camera in video mode. Potoroos and bandicoots (Perameles nasuta and Isoodon macrourus) were detected at 14 sites and pademelons (Thylogale stigmatica and T. thetis) were detected at 19 sites. We used program Presence to compare detection probabilities for each camera category. The detection probability for all three taxa groups was lowest for the vertical still and similar for the horizontal cameras. The detection probability (horizontal still) was highest for the potoroos (0.43) compared with the bandicoots (0.16) and pademelons (0.25). We estimate that the horizontal stills camera could achieve a 95% probability of detection of a potoroo within 6 days compared with 8 days using a vertical stills camera. This suggests that horizontal cameras in still mode have great potential for monitoring the dynamics of this potoroo population.
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Shen, Yin Chen. "Models for Drone Go Aerial Disaster Relief Response System." International Business & Economics Studies 1, no. 1 (March 20, 2019): 33. http://dx.doi.org/10.22158/ibes.v1n1p33.
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<p><em>According to the requirement, we established a non-linear programming model and a three-dimensional packing model and designed a Drone</em><em> </em><em>Go disaster response system meeting the demand of medical supplement and road video reconnaissance. We also determine the optimal location selection, container assembly schemes, as well as the UAV flight routes and flight plans. </em></p><p><em>First of all, we established a coordinate system to fit the topographic map of Puerto Rico through the digital image processing method and collect the road pixels in the topographic map. Then compared it with the detection range of the UAVs to analyze the exploration area and reconnaissance rate of different flight plans. </em></p><p><em>Second, we establish a nonlinear programming model with the constraint of the distance between the hospitals and the distribution of the medicine. Using time and exploration area as the target function to determine the optimal location and make a best decision by weighing both factors. </em></p><p><em>Third, we establish a model of three-dimensional packaging and using the heuristic algorithm to determine the best package solution of two iso container respectively. The constraint is to take enough medicine and drone to make the two highest utilization rates of the volume of the container, trying to reduce the use of buffer material. </em></p><em>Finally, the optimal flight plan is determined with the consideration of the highest flight safety and detection efficiency of UAV. In the stability analysis of our model, we prove the reliability of our model from different perspectives. Then we analyzed the advantages and disadvantages of our model.</em>
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Sato, M., and A. Azuma. "The flight performance of a damselfly Ceriagrion melanurum Selys." Journal of Experimental Biology 200, no. 12 (January 1, 1997): 1765–79. http://dx.doi.org/10.1242/jeb.200.12.1765.
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The local circulation method was applied to the free forward flight of the damselfly Ceriagrion melanurum Selys. The kinematic data used in the calculations were obtained by analyzing video-taped images of damselflies in free flight in a transparent container. The inclination of the stroke plane was smaller and the flapping amplitude was larger than those of dragonflies reported in other studies on odonate flight. However, the phase shift between the fore- and hindwings agreed with none of the previously reported patterns for damselflies: the forewings lead the hindwings by approximately a quarter-period. The calculated forces were within the expected range of error. The muscle-mass-specific power was between 40 and 80 W kg-1. The vorticity distribution of trailing and shed vortices in the wake was also analyzed. Strong trailing vortices were observed at the wing tips, whereas shed vortices were concentrated near the wing root as the stroke switched direction.
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Kim, Yoon-Ki, and Yongsung Kim. "DiPLIP: Distributed Parallel Processing Platform for Stream Image Processing Based on Deep Learning Model Inference." Electronics 9, no. 10 (October 13, 2020): 1664. http://dx.doi.org/10.3390/electronics9101664.
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Recently, as the amount of real-time video streaming data has increased, distributed parallel processing systems have rapidly evolved to process large-scale data. In addition, with an increase in the scale of computing resources constituting the distributed parallel processing system, the orchestration of technology has become crucial for proper management of computing resources, in terms of allocating computing resources, setting up a programming environment, and deploying user applications. In this paper, we present a new distributed parallel processing platform for real-time large-scale image processing based on deep learning model inference, called DiPLIP. It provides a scheme for large-scale real-time image inference using buffer layer and a scalable parallel processing environment according to the size of the stream image. It allows users to easily process trained deep learning models for processing real-time images in a distributed parallel processing environment at high speeds, through the distribution of the virtual machine container.
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Maj, Krzysztof M. "On the pseudo-open world and ludotopian dissonance: A curious case of Cyberpunk 2077." Journal of Gaming & Virtual Worlds 14, no. 1 (April 1, 2022): 51–65. http://dx.doi.org/10.1386/jgvw_00051_1.
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The article proposes and discusses the term of ‘ludotopian dissonance’ in reference to flawed open-world design in computer role-playing games (cRPGs). Much like ludonarrative dissonance, this concept shall address a paradox of narrative credibility ‐ this time, however, narrowed to the gameworld itself rather than to gameplay or storyline. This case study of Cyberpunk 2077’s world-building is supplemented with reflection upon the idea of openness or ‘openworldlness’ (‘what makes a given imaginary world truly open? Is it possible? Or is it viable for video games?’), as well as with research on explorable imaginary worlds (predominantly from the angle of transmedial narratology and interdisciplinary world-building studies). The aim of the article is to reiterate the necessity of design worlds that do not only serve as a container for storytelling, but also provide the players with an inhabitable, performative ludotopia which does not produce any dissonances between the credible storyworld and incredulous gameworld.
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Kum, Seungwoo, Seungtaek Oh, Jeongcheol Yeom, and Jaewon Moon. "Optimization of Edge Resources for Deep Learning Application with Batch and Model Management." Sensors 22, no. 17 (September 5, 2022): 6717. http://dx.doi.org/10.3390/s22176717.
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As deep learning technology paves its way, real-world applications that make use of it become popular these days. Edge computing architecture is one of the service architectures to realize the deep learning based service, which makes use of the resources near the data source or client. In Edge computing architecture it becomes important to manage resource usage, and there is research on optimization of deep learning, such as pruning or binarization, which makes deep learning models more lightweight, along with the research for the efficient distribution of workloads on cloud or edge resources. Those are to reduce the workload on edge resources. In this paper, a usage optimization method with batch and model management is proposed. The proposed method is to increase the utilization of GPU resource by modifying the batch size of the input of an inference application. To this end, the inference pipelines are identified to see how the different kinds of resources are used, and then the effect of batch inference on GPU is measured. The proposed method consists of a few modules, including a tool for batch size management which is able to change a batch size with respect to the available resources, and another one for model management which supports on-the-fly update of a model. The proposed methods are implemented on a real-time video analysis application and deployed in the Kubernetes cluster as a Docker container. The result shows that the proposed method can optimize the usage of edge resources for real-time video analysis deep learning applications.
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D.P., Gangwar, Anju Pathania, Anand -, and Shivanshu -. "AUTHENTICATION OF DIGITAL MP4 VIDEO RECORDINGS USING FILE CONTAINERS AND METADATA PROPERTIES." International Journal of Computer Science Engineering 10, no. 2 (April 30, 2021): 28–38. http://dx.doi.org/10.21817/ijcsenet/2021/v10i2/211002004.
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The authentication of digital video recording plays a very important role in forensic science as well as for other crime investigation purposes. The field of forensic examination of digital video is continuously facing new challenges. At present the authentication of the video is carried out on the basis of pixel-based analysis. Due to the change in technology, it was felt that a new approach is required for the authentication of digital video recordings. In the present work a new approach i.e. analysis of media Information and structural analysis of video containers (boxes/ atoms) of mp4 file format have been applied for identification of original and edited videos. This work is limited only for Mp4 file format because the MP4 compressed format is widely used in most of the mobile phone for video recording and transmission purposes. For this purpose, we recorded more than 200 video samples using more than 20 different mobile phones of different make and models and more than 12 video editors, which are available in open source used for editing purpose. The original and edited MP4 video files were analyzed for their different metadata and structural contents analysis of different file containers (boxes/atoms) using different freeware tools. The details of the work are described below.
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Jillians, W. J., and T. Maxworthy. "Experiments on spin-up and spin-down on a β-plane." Journal of Fluid Mechanics 271 (July 25, 1994): 153–72. http://dx.doi.org/10.1017/s0022112094001722.
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Here we study the spin-up and spin-down of a homogeneous fluid with a free surface on an experimental ‘β-plane’ and describe the important features for both cases over a range of parameters. Quantitative values are found for the velocity fields using a new image processing technique that analyses a video record of particle motion and stores the results digitally. Streamlines, pressure fields and vorticity values are found by interpolation techniques and result in a complete description of the flow characteristics. We discuss the relationship between the results of these experiments and those observed in large-scale homogeneous models of ocean circulation, e.g. Moore (1963). This study extends the work of van Heijst et al. (1990) to the case of spin-up in a rectangular container but of non-uniform depth and we note the differences to and similarities with their observations. It is related, also, to more recent results of Maas et al. (1992), who considered spin-up on a β-plane but in a tank of very different proportions to the one considered here.
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Susilo, Sugeng Hadi, and Asrori Asrori. "ANALYSIS OF POSITION AND ROTATION DIRECTION OF DOUBLE STIRRER ON CHAOTIC ADVECTION BEHAVIOR." EUREKA: Physics and Engineering, no. 2 (March 29, 2021): 78–86. http://dx.doi.org/10.21303/2461-4262.2021.001707.
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Turbulent mixing can damage the material molecules because of turbulence. Whereas laminar mixing raises a problem when mixing is carried out on viscous liquids. The mixing mechanism using chaotic flow affects the mixing quality. The aim of the experiment was to determine the position and direction of the double stirrer chaotic mixer. The installation of a chaotic mixer uses a cylindrical tub and two different mixers consisting of a primary mixer (Pp) and a secondary mixer (Ps). Periodically rotate the container and stirrer. The center of the vessel and primary mixer are placed at the same coordinates. For ε=4 cm (Pp to Ps distance), there are three experiments, namely: vessel rotation and directional stirrer (P2S-a), vessel rotation and opposite stirrer (P2B-a), and vessel rotation, both primary and secondary stirrers are directional variations. (P2V-a). Eccentricity 7 cm, there are also three treatments as above: one direction (P2S-b), reverse direction (P2B-b), and variation of direction (P2V-b).
The video camera recordings are processed digitally. Qualitative data show a pattern of behavior during mixing. Meanwhile, quantitative data is used to determine the level of mixing effectiveness. The results showed that the direction of rotation of the two cylinders had no effect on the effectiveness of chaotic mixing. Based on the number of initial droplets of dye, the treatment that experienced the fastest chaos was P2B-b, at n=2 and r=3.5303. The difference in the number of color droplets does not affect chaotic behavior. The highest mixing efficiency was generated by the lowest P2V-b mixing index value of 0.94. Simultaneously, the direction between the mixer and the container will provide maximum mixing efficiency. Isolated mixing areas (island) and areas of poor mixing occur because of one-way rotation and low eccentricity
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Hesse, Jan, Jenni A. Stanley, and Andrew G. Jeffs. "Lobster in a bottle: a novel technique for observing the predation of juvenile spiny lobster (Jasus edwardsii)." Marine and Freshwater Research 67, no. 11 (2016): 1625. http://dx.doi.org/10.1071/mf15098.
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Determining the impact of predators on juvenile spiny lobsters living on reefs is important for understanding recruitment processes that ultimately help determine the size of economically important lobster populations. The present study describes a novel approach for observing attempted predation on live juvenile spiny lobster (Jasus edwardsii) in situ, by presenting the lobster in a transparent container that was lit with infrared light to enable continuous monitoring, even at night, by video recording. This technique can be used to provide valuable information on overall relative predation pressure from comparative locations and habitats, as well as identify potential predators, their mode of predation, and the timing of their of predation activity. For example, predation attempts on juvenile J. edwardsii by the spotted wrasse (Notolabrus celidotus) were recorded only from 0500 to 1400 hours (daytime) and from 1900 to 2100 hours (dusk), whereas the activity by the northern conger eel (Conger wilsoni) was observed only for the period between 2100 and 0200 hours (nocturnal). This method of assessing predation of juvenile lobsters provides considerable advantages over previously used tethering methods, by allowing continuous observations over a long time period (≥24h), including night time, while also eliminating experimental mortality of juvenile lobsters.
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Cheng, Ling. "Digital Video Image Preprocessing Algorithm Based on Embedded System." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012004. http://dx.doi.org/10.1088/1742-6596/2074/1/012004.
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Abstract To solve the massive noise contained in the images acquired under low illumination, we designed a digital video image Preprocessing device with the denoising function. Based on the embedded CPU and operating system, video images are acquired by the camera. The noise contained in the video images is filtered by the improved median filtering algorithm and wavelet image denoising. Subsequently, the images are transmitted through USB and network interface, and the storage function of image files is implemented. The device can remove the noise contained in videos effectively, which is conducive to performing more advanced processing on the images.
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Mrvelj, Štefica, Marko Matulin, and Sergo Martirosov. "Subjective Evaluation of User Quality of Experience for Omnidirectional Video Streaming." Promet - Traffic&Transportation 32, no. 3 (May 10, 2020): 409–21. http://dx.doi.org/10.7307/ptt.v32i3.3444.
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This paper reports on the results of subjective testing of user Quality of Experience (QoE) for omnidirectional video (ODV) streaming quality. The test was conducted among 20 test subjects who watched three ODVs using a Head Mounted Display (HMD) system. The length of the videos was between two and three minutes. The first video was used for training purposes and contained no quality degradations. The quality of the other two ODVs was degraded by manipulating the resolution or by introducing different frame drop patterns. While watching the pre-prepared videos the subjects indicated if they noticed the changes in the quality and then rated it. After watching each video, the subjects completed a separate questionnaire, which evaluated their level of enjoyment and discomfort with the video. The results showed that the degradation of both objective parameters (video resolution and frame rate) impacted the subjects’ perception of quality; however, the impact was somewhat alleviated in ODV which contained dynamic scenes and fast camera movements.
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Cui, Limeng, and Lijuan Chu. "YouTube Videos Related to the Fukushima Nuclear Disaster: Content Analysis." JMIR Public Health and Surveillance 7, no. 6 (June 7, 2021): e26481. http://dx.doi.org/10.2196/26481.
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Background YouTube (Alphabet Incorporated) has become the most popular video-sharing platform in the world. The Fukushima Daiichi Nuclear Power Plant (FDNPP) disaster resulted in public anxiety toward nuclear power and radiation worldwide. YouTube is an important source of information about the FDNPP disaster for the world. Objective This study's objectives were to examine the characteristics of YouTube videos related to the FDNPP disaster, analyze the content and comments of videos with a quantitative method, and determine which features contribute to making a video popular with audiences. This study is the first to examine FDNPP disaster–related videos on YouTube. Methods We searched for the term “Fukushima nuclear disaster” on YouTube on November 2, 2019. The first 60 eligible videos in the relevance, upload date, view count, and rating categories were recorded. Videos that were irrelevant, were non-English, had inappropriate words, were machine synthesized, and were <3 minutes long were excluded. In total, 111 videos met the inclusion criteria. Parameters of the videos, including the number of subscribers, length, the number of days since the video was uploaded, region, video popularity (views, views/day, likes, likes/day, dislikes, dislikes/day, comments, comments/day), the tone of the videos, the top ten comments, affiliation, whether Japanese people participated in the video, whether the video recorder visited Fukushima, whether the video contained theoretical knowledge, and whether the video contained information about the recent situation in Fukushima, were recorded. By using criteria for content and technical design, two evaluators scored videos and grouped them into the useful (score: 11-14), slightly useful (score: 6-10), and useless (score: 0-5) video categories. Results Of the 111 videos, 43 (38.7%) videos were useful, 43 (38.7%) were slightly useful, and 25 (22.5%) were useless. Useful videos had good visual and aural effects, provided vivid information on the Fukushima disaster, and had a mean score of 12 (SD 0.9). Useful videos had more views per day (P<.001), likes per day (P<.001), and comments per day (P=.02) than useless and slightly useful videos. The popularity of videos had a significant correlation with clear sounds (likes/day: P=.001; comments/day: P=.02), vivid information (likes/day: P<.001; comments/day: P=.007), understanding content (likes/day: P=.001; comments/day: P=.04). There was no significant difference in likes per day (P=.72) and comments per day (P=.11) between negative and neutral- and mixed-tone videos. Videos about the recent situation in Fukushima had more likes and comments per day. Video recorders who personally visited Fukushima Prefecture had more subscribers and received more views and likes. Conclusions The possible features that made videos popular to the public included video quality, videos made in Fukushima, and information on the recent situation in Fukushima. During risk communication on new forms of media, health institutes should increase publicity and be more approachable to resonate with international audiences.
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Eroglu, Ersan, and Ediz Altinli. "Evaluation of the Reliability and Quality of YouTube Video Content about Perianal Fistulas." BioMed Research International 2022 (November 16, 2022): 1–7. http://dx.doi.org/10.1155/2022/2955273.
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Objective. Perianal fistulas of the perianal soft tissues are an important cause of morbidity and a significant portion of colorectal surgery. To our knowledge, there is no study evaluating YouTube videos pertaining perianal fistulas. In this study, we aimed to evaluate YouTube video contents on this topic. Methods. Whether the videos contained real images, animations or presentations, video duration, number of views, comments and likes, uploading date, and daily view were recorded. Reliability of the videos was assessed using the Quality Criteria for Consumer Health Information (DISCERN) scale and quality of the videos using the Global Quality Score (GQS). Results. A total of 100 YouTube videos regarding perianal fistulas were included in the study. Sixty-four (64%) videos were uploaded by healthcare professionals and 36 (36%) videos by nonprofessionals. The mean video length was calculated as 6.70 ± 8.00 minutes for all videos. The mean DISCERN score of all videos was found as 3.92 ± 0.81 and the mean GQS score as 3.97 ± 0.83 . According to the DISCERN score, most videos included (94%) were of good quality. There was an excellent agreement between the two surgeons in terms of the DISCERN and GQS scores. Conclusion. Most of the videos included in the study were uploaded by health-care professionals. On the other hand, the majority of the videos contained surgical management of perianal fistulas as it is the definitive treatment. Healthcare related content should be audited and filtered by YouTube with new and effective policies.
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Hsu, Wenhua. "The effects of audiovisual support on EFL learners’ productive vocabulary." ReCALL 26, no. 1 (November 22, 2013): 62–79. http://dx.doi.org/10.1017/s0958344013000220.
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AbstractThis study concerned multiple exposures to English before writing and aimed to explore the possibility of an increase in free active vocabulary with a focus on latent productive vocabulary beyond the first 2,000 most frequent words. The researcher incorporated online video into her college freshman composition class and examined its effects on non-basic vocabulary use. To activate previously known vocabulary, a variety of audiovisual modes before writing were applied to four groups alternately: (1) video with captions, (2) video without captions, (3) silent video with captions, and (4) video with screen off (soundtrack only). The results show that the writing involving non-captioned videos contained a higher percentage of advanced vocabulary than that with the other three conditions (specifically, 12.45% versus 11.33% with captioned videos, 5.2% with silent but captioned videos and 8.63% with audio only). Drawing upon the dual-coding theory, this study also points out some pedagogical implications for a video-based writing course.
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Liu, Xiaoxi, Ju Liu, Lingchen Gu, and Yannan Ren. "Keyframe-Based Vehicle Surveillance Video Retrieval." International Journal of Digital Crime and Forensics 10, no. 4 (October 2018): 52–61. http://dx.doi.org/10.4018/ijdcf.2018100104.
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This article describes how due to the diversification of electronic equipment in public security forensics, vehicle surveillance video as a burgeoning way attracts us attention. The vehicle surveillance videos contain useful evidence, and video retrieval can help us find evidence contained in them. In order to get the evidence videos accurately and effectively, a convolution neural network (CNN) is widely applied to improve performance in surveillance video retrieval. In this article, it is proposed that a vehicle surveillance video retrieval method with deep feature derived from CNN and with iterative quantization (ITQ) encoding, when given any frame of a video, it can generate a short video which can be applied to public security forensics. Experiments show that the retrieved video can describe the video content before and after entering the keyframe directly and efficiently, and the final short video for an accident scene in the surveillance video can be regarded as forensic evidence.
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Zhang, Zheng, Yanling Shao, Xing Liu, and Yibo Han. "Telematics Collaborative Resource Allocation Algorithm Based on Cloud Sidecar." Security and Communication Networks 2022 (September 8, 2022): 1–14. http://dx.doi.org/10.1155/2022/2332769.
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This paper provides an in-depth study and analysis of a distributed allocation algorithm for collaborative resources for cloud-edge-vehicle-based Telematics. The approach starts from the emerging application of urban environmental monitoring based on vehicular networking, with an integrated design of data sensing detection and transmission, and collaborative monitoring of vehicle swarm intelligence based on urban air quality collection to avoid redundancy of information and communication overload. A hybrid routing method with minimal delay for reliable data transmission is proposed. The power adjustment algorithm divides the channel into 3 states. When the CBR is less than 0.5, the channel is in an idle state, and when the CBR is greater than 0.5 and less than 0.8, the channel is in an active state. The algorithm designs redundancy strategies based on coding mechanisms to improve the reliability of data transmission, combines coding mechanisms with routing design, incorporates routing switching ideas, and performs probability-based routing decisions to minimize the delay. In straight-line road sections, a fuzzy logic prediction-based vehicle adaptive connectivity clustering routing algorithm is proposed to reduce the communication overhead during vehicle collaboration and ensure high network connectivity; at intersections, a probability-based minimum delay routing decision algorithm is proposed to reduce the information transmission delay. Experiments show that the proposed method effectively improves the efficiency of data-aware collection and transmission, and increases the reliability of transmission. With the explosive growth of video services, the problem of intelligent transmission of DASH-based video streams has become another research hotspot in mobile edge networks. Based on the edge container cloud architecture of vehicular networking, the resource constraints of microservices when deployed in the edge cloud platform were analyzed, and a multi-objective optimization model for microservice resource scheduling was established with the comprehensive performance objectives of shortest microservice invocation distance, highest resource utilization of physical machine clusters, and ensuring load balancing as much as possible.
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Lee, Gabrielle T., and Tzu-Fen Chang. "Evaluating the Use of an Online Video Training Program to Supplement a Graduate Course in Applied Behavior Analysis." International Journal of Online Pedagogy and Course Design 9, no. 2 (April 2019): 21–32. http://dx.doi.org/10.4018/ijopcd.2019040102.
Full textAbstract:
The primary purpose of the present article was to evaluate the effects of a supplemental online video program on student quiz performance for an online course in applied behavior analysis. Nineteen graduate students, in ages ranging from 22 to 40, agreed to participate in this study. A within-subject group design was used. The control condition contained textbook readings and accompanied self-guided notes, while an online video training program was added to supplement the experimental condition. Results indicated that the students scored significantly higher in their weekly quizzes under the condition supplemented with the online video training program. The students perceived the video training program as equally helpful as the textbook, but they enjoyed the online videos significantly more than the textbook. Students' self-reported enjoyment of the online videos was also positively correlated to their quiz performance under the condition supplemented with the videos.
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Bellon-Harn, Monica L., Vinaya Manchaiah, and Lekeitha R. Morris. "A cross-sectional descriptive analysis of portrayal of autism spectrum disorders in YouTube videos: A short report." Autism 24, no. 1 (July 13, 2019): 263–68. http://dx.doi.org/10.1177/1362361319864222.
Full textAbstract:
Professionals have expressed concerns about the quality of autism-related information available from Internet-based sources. The purpose of this study was to examine the source, content, usability, and actionability of autism spectrum disorder–related information contained in 100 different videos directed to families of children with autism spectrum disorder uploaded to YouTube. Upload sources were identified, and video content was coded. Understandability and actionability of the videos were examined using Patient Education Materials Assessment Tool for Audiovisual Materials. The collective number of views of the videos was almost 100 million. The length of videos was 691.17 min (i.e. 11.5 h) with the shortest video being 30 s and the longest video being 37.36 min. The YouTube videos related to autism spectrum disorder covered a range of issues, although much of the content was focused on signs and symptoms. No difference in content reporting was noted based on sources for most categories, although differences were noted in some categories (e.g. professionals mentioned diagnosis and resources more frequently). Poor understandability and actionability scores (i.e. below 70%) were reported for all videos regardless of video source. However, the videos generated by the professionals were superior in terms of understandability. Study implications and recommendations for further research are discussed.