Efficient dissemination of personalized video content in resource-constrained environments

2009 ◽  
Author(s):  
Piyush Parate ◽  
Lakshmish Ramaswamy ◽  
Suchendra Bhandarkar ◽  
Siddhartha Chattopadhyay ◽  
Hari Devulapally
Keyword(s):  
Video Content ◽  
Resource Constrained ◽  
Constrained Environments ◽  
Personalized Video

The screen performance as an instrument of propaganda (on the example of Ivan Kavaleridze’s film «Koliivshchyna», 1933)

2019 ◽  
Vol 25242644 ◽  
pp. 63-68
Author(s):  
Alina Lisnevska
Keyword(s):  
Video Content ◽  
The Public ◽  
Screen Media ◽  
Social Settings ◽  
Soviet Ideology ◽  
The One ◽  
Historical Truth ◽  
Screen Performance ◽  
Personalized Video ◽  
Remote Past

The myth-making processes in the communicative space are the «cornerstone» of ideology at all times of mankind’s existence. One of the tools of the effective impact of propaganda is trust in information. Today this come round due to the dissemination of information on personalized video content in social networks, including through converged media. New myths and social settings are creating, fate of the countries is being solved, public opinion is being formed. It became possible to create artificially a model of social installation using the myths (the smallest indivisible element of the myth) based on real facts, but with the addition of «necessary» information. In the 20–30 years of the XX century cinematograph became the most powerful screen media. The article deals with the main ideological messages of the Ukrainian Soviet film «Koliivshchyna» (1933). In the period of mass cinematography spread in the Soviet Ukraine, the tape was aimed at a grand mission – creation of a new mythology through the interpretation of the true events and a con on the public, propaganda of the Soviet ideology. This happened in the tragic period of Ukrainian history (1933, the Holodomor) through the extrapolation of historical truth and its embodiment in the most formative form at that time – the form of the screen performance. The Soviet authorities used the powerful influence of the screen image to propagate dreams, illusions, images, stereotypes that had lost any reference to reality. I. Kavaleridze’s film «Koliivshchyna» demonstrates the interpretation of historical events and national ideas, the interpretation of a relatively remote past through the ideology of the «Soviet-era». The movie is created as a part of the political conjuncture of the early 1930s: the struggle against Ukrainian «bourgeois nationalism» and against the «Union of Liberation Ukraine», the repressive policies against the peasants, the close-out of the «back to the roots» policy. The movie, on the one hand, definitely addresses to the Ukrainian ideas, on the other hand it was made at the period of the repressions against the Ukrainian peasantry. In the movie «Koliivshchyna», despite the censorship, I. Kavaleridze manages to create a national inclusive narrative that depicts Ukrainian space as multi-ethnic and diverse, but at the same time nationally colorful.

scholarly journals A low-cost wireless endoscope camera: a preliminary report

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
J. M. Lazarus ◽  
M. Ncube
Keyword(s):  
Minimally Invasive Surgery ◽  
Minimally Invasive ◽  
Video Transmission ◽  
Low Cost ◽  
Battery Life ◽  
Resource Constrained ◽  
High Definition ◽  
Industry Standard ◽  
Constrained Environments ◽  
The Cost

Abstract Background Technology currently used for surgical endoscopy was developed and is manufactured in high-income economies. The cost of this equipment makes technology transfer to resource constrained environments difficult. We aimed to design an affordable wireless endoscope to aid visualisation during rigid endoscopy and minimally invasive surgery (MIS). The initial prototype aimed to replicate a 4-mm lens used in rigid cystoscopy. Methods Focus was placed on using open-source resources to develop the wireless endoscope to significantly lower the cost and make the device accessible for resource-constrained settings. An off the shelf miniature single-board computer module was used because of its low cost (US$10) and its ability to handle high-definition (720p) video. Open-source Linux software made monitor mode (“hotspot”) wireless video transmission possible. A 1280 × 720 pixel high-definition tube camera was used to generate the video signal. Video is transmitted to a standard laptop computer for display. Bench testing included latency of wireless digital video transmission. Comparison to industry standard wired cameras was made including weight and cost. The battery life was also assessed. Results In comparison with industry standard cystoscope lens, wired camera, video processing unit and light source, the prototype costs substantially less. (US$ 230 vs 28 000). The prototype is light weight (184 g), has no cables tethering and has acceptable battery life (of over 2 h, using a 1200 mAh battery). The camera transmits video wirelessly in near real time with only imperceptible latency of < 200 ms. Image quality is high definition at 30 frames per second. Colour rendering is good, and white balancing is possible. Limitations include the lack of a zoom. Conclusion The novel wireless endoscope camera described here offers equivalent high-definition video at a markedly reduced cost to contemporary industry wired units and could contribute to making minimally invasive surgery possible in resource-constrained environments.

scholarly journals Autonomous monitoring framework for resource-constrained environments

2018 ◽  
Vol 4 (3) ◽  
pp. 137-155 ◽  
Author(s):  
Sajid Nazir ◽  
Hassan Hamdoun ◽  
Fabio Verdicchio ◽  
Gorry Fairhurst
Keyword(s):  
Resource Constrained ◽  
Monitoring Framework ◽  
Constrained Environments

Use of Big Data to Evaluate and Improve Performance of Traffic Signal Systems in Resource-Constrained Countries

2017 ◽  
Vol 2620 (1) ◽  
pp. 20-30 ◽  
Author(s):  
Yang Carl Lu ◽  
Holly Krambeck ◽  
Liang Tang
Keyword(s):  
Traffic Control ◽  
Time Of Day ◽  
Traffic Signal ◽  
Signal Timing ◽  
Gps Data ◽  
Resource Constrained ◽  
Physical Sensors ◽  
Constrained Environments ◽  
Traffic Signal Timing ◽  
High Level

Deployment of an adaptive area traffic control system is expensive; physical sensors require installation, calibration, and regular maintenance. Because of the high level of technical and financial resources required, area traffic control systems found in developing countries often are minimally functioning. In Cebu City, Philippines, for example, the Sydney Coordinated Adaptive Traffic System was installed before 2000, and fewer than 35% of detectors were still functioning as of January 2015. To address this challenge, a study was designed to determine whether taxi company GPS data are sufficient to evaluate and improve traffic signal timing plans in resource-constrained environments. If this work is successful, the number of physical sensors required to support those systems may be reduced and thereby substantially lower the costs of installation and maintenance. Taxi GPS data provided by a regional taxi-hailing app were used to design and implement methodologies for evaluating the performance of traffic signal timing plans and for deriving updated fixed-dynamic plans, which are fixed plans (with periods based on observable congestion patterns rather than only time of day) iterated regularly until optimization is reached. To date, three rounds of iterations have been conducted to ensure the stability of the proposed signal timings. Results of exploratory analysis indicate that the algorithm is capable of generating reasonable green time splits, but cycle length adjustment must be considered in the future.

scholarly journals Integrated Image Sensor and Light Convolutional Neural Network for Image Classification

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Cheng-Jian Lin ◽  
Chun-Hui Lin ◽  
Shyh-Hau Wang
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Autonomous Vehicles ◽  
Model Performance ◽  
Image Sensor ◽  
Model Complexity ◽  
Resource Constrained ◽  
Smart Cameras ◽  
Resource Limited ◽  
Constrained Environments

Deep learning has accomplished huge success in computer vision applications such as self-driving vehicles, facial recognition, and controlling robots. A growing need for deploying systems on resource-limited or resource-constrained environments such as smart cameras, autonomous vehicles, robots, smartphones, and smart wearable devices drives one of the current mainstream developments of convolutional neural networks: reducing model complexity but maintaining fine accuracy. In this study, the proposed efficient light convolutional neural network (ELNet) comprises three convolutional modules which perform ELNet using fewer computations, which is able to be implemented in resource-constrained hardware equipment. The classification task using CIFAR-10 and CIFAR-100 datasets was used to verify the model performance. According to the experimental results, ELNet reached 92.3% and 69%, respectively, in CIFAR-10 and CIFAR-100 datasets; moreover, ELNet effectively lowered the computational complexity and parameters required in comparison with other CNN architectures.

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