Visual Center of Gravity and Ratio of the Split Screen

2013 ◽  
Vol 756-759 ◽  
pp. 4747-4751
Author(s):  
Pi Rong Yao
Keyword(s):  
Center Of Gravity ◽  
Line Position ◽  
High Definition ◽  
Dominant Position ◽  
Divine Proportion ◽  
Visual Center ◽  
Massive Distribution ◽  
High Definition Tv ◽  
The Impact ◽  
Dividing Line

the Divine Proportion has a dominant position in the picture composition; however, the picture perfect dichotomy screen out by its reasoning can not solve the massive distribution. In traditional quickly composition, due to the impact of 4:3 TV format, people are accustomed to the screen is divided into nine cells, because they are used by equipment manufacturers to provide the average split-screen "Well-shaped" dividing line; With the prevalence of 16:9 high-definition TV and panoramic photography, photography cameraman shooting 16:9, this average segmentation approaches have failed to provide the composition with the help of. If you are still using the Divine Proportion different screen geometry segmentation, we can draw a dividing line position proportion that is consistent with the Divine Proportion in line with the physiological visual center of gravity of the human eye: 28:44:28; The new segmentation photography cameraman will provide a more convenient and quick reference picture composition.

Driver Technology for 8K Ultra High Definition TV

2019 ◽  
pp. 1506
Author(s):  
Hyun-Wook Lim ◽  
Yong-Hoon Yu ◽  
Jinho Kim ◽  
Byoung-Yoon Jang ◽  
Jung-Pil Lim ◽  
...  
Keyword(s):  
High Definition ◽  
High Definition Tv

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

High-Frequency and Passive Radar Designs for Homeland Security Applications

2011 ◽  
Vol 45 (3) ◽  
pp. 111-119 ◽  
Author(s):  
Magdy F. Iskander ◽  
Zhengqing Yun ◽  
Nuri Celik ◽  
Hyoungsun Youn ◽  
Nobutaka Omaki ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Homeland Security ◽  
High Frequency ◽  
Beam Steering ◽  
Antenna System ◽  
Hf Radar ◽  
Passive Radar ◽  
High Definition ◽  
Security Applications ◽  
The Impact

AbstractEmerging homeland security applications require low-cost and fast, deployable, high-frequency (HF) radar systems and the ability to operate in challenging terrain environments. With the need to cover as many border and coastal areas as possible, taking advantages of available transmitter resources to track targets using passive radar technologies is yet another area of research of considerable interest. In this paper, we describe the development of an HF radar system that meets these operational challenges, and we also highlight some recent implementation of the passive radar technology for homeland security applications. Specifically, we describe the design of a novel, electrically small HF antenna system consisting of three helical elements, one connected to the feed port while the other two are folded arms terminated with switchable loads. The antenna is 0.90-m (<3 feet) high with a small ground disk of 0.60 m (∼2 feet) diameter. The antenna is self-resonant at multiple frequencies (5.7, 16, 20.5, and 27.7 MHz) and with input impedance values that can be easily matched to a 50-Ω coaxial feed. Values of the electrical size ka range from 0.44 at 30 MHz down to 0.08 at 5.7 MHz. The achieved bandwidths range from 1.4% up to 12% and associated efficiencies range from 66.2% to 76% within the HF band (3‐30 MHz). As for the operational requirement in challenging terrain environments, a setup in a hilltop-type environment with a slope terrain and surface roughness was considered. A propagation modeling and ray-tracing approach was used to evaluate the impact of such terrain conditions on the effective interelement spacing of an HF radar antenna array and the subsequent impact on its beamforming and beam steering performance. It is shown that while the effect of the slope on the effective interelement spacing of the array could be very significant, diffraction effects from surface roughness resulted in a much smaller, but significant, error of about 18°. Results from some initial work on the implementation of passive radar technology, with focus on addressing the bandwidth requirement to ensure practical resolution values, are also described. It is shown that signals from wide-band transmitters (e.g., High Definition Television [HDTV] signals) rather than those from radio stations are required to provide acceptable range resolution. These as well as simulation and experimental results of the antenna design, and results from beamforming simulations illustrating the effect of a rough hilltop terrain on the HF radar performance are described.

A video codec LSI for high-definition TV systems with one-transistor DRAM line memories

1989 ◽  
Vol 24 (6) ◽  
pp. 1656-1661
Author(s):  
T. Takada ◽  
T. Oto ◽  
K. Kitagaki ◽  
N. Hatanaka ◽  
T. Demura ◽  
...  
Keyword(s):  
Video Codec ◽  
High Definition ◽  
High Definition Tv

scholarly journals Major Big Data Challenges in Most Industries and Innovative Solutions

2019 ◽  
Vol 9 (2S2) ◽  
pp. 424-428
Keyword(s):  
Big Data ◽  
Mobile Networks ◽  
Spatial Data ◽  
High Volume ◽  
High Definition ◽  
Management Tools ◽  
Social Media Networks ◽  
Massive Growth ◽  
Multiple Challenges ◽  
High Definition Tv

The term “Big data” refers to “the high volume of data sets that are relatively complex in nature and having challenges in processing and analyzing the data using conventional database management tools”. In the digital universe, the data volume and variety that, we deal today have grown-up massively from different sources such as Business Informatics, Social-Media Networks, Images from High Definition TV, data from Mobile Networks, Banking data from ATM Machines, Genomics and GPS Trails, Telemetry from automobiles, Meteorology, Financial market data etc. Data Scientists confirm that 80% of the data that we have gathered today are in unstructured format, i.e. in the form of images, pixel data, Videos, geo-spatial data, PDF files etc. Because of the massive growth of data and its different formats, organizations are having multiple challenges in capturing, storing, mining, analyzing, and visualizing the Big data. This paper aims to exemplify the key challenges faced by most organizations and the significance of implementing the emerging Big data techniques for effective extraction of business intelligence to make better and faster decisions

Investigation of the impact of thermodynamic profiles of ground based lidar systems on short-range forecast skill by means of ETKF-hybrid 3DVAR data assimilation

2021 ◽  
Author(s):  
Rohith Thundathil ◽  
Thomas Schwitalla ◽  
Andreas Behrendt ◽  
Diego Lange ◽  
Florian Späth ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Wrf Model ◽  
Absolute Humidity ◽  
Raman Lidar ◽  
High Definition ◽  
Background Error ◽  
Ground Based Lidar ◽  
Ensemble Transform Kalman Filter ◽  
Definition Of ◽  
The Impact

&lt;p&gt;Ground based active remote-sensing instruments have proved its potential through its high quality observations of thermodynamic profiles. In this study, thermodynamic profiles obtained from the temperature Raman lidar (TRL) and the water-vapour differential absorption lidar (DIAL) of the University of Hohenheim (UHOH) are assimilated into the Weather Research and Forecasting model data assimilation (WRFDA) system through a new forward operator for absolute humidity and mixing ratio developed in-house.&lt;br&gt;Thermodynamic DA was performed either with the deterministic 3-dimensional variational (3DVAR) DA system or with the hybrid 3DVAR-Ensemble Transform Kalman Filter (ETKF) approach. We used data of the High Definition of Clouds and Precipitation for advancing Climate Prediction (HD(CP)2 project Observation Prototype Experiment (HOPE). The WRF model was configured for a central European domain at a convection permitting resolution of 2.5 km spatial grid increment and 100 levels in the vertical with fine resolution in the planetary boundary layer (PBL). The assimilation experiments were conducted in a rapid update cycle (RUC) mode with an hourly update frequency. The hybrid 3DVAR-ETKF DA system was incorporated with an adaptive inflation scheme using a set of 10 ensemble members each with the same configuration as the previous experiments for the 3DVAR.&amp;#160; We will present the results of three DA experiments. In the first experiment (CONV_DA), or the control run, only assimilation of the conventional observations was carried out with 3DVAR DA. The second experiment (QT_DA) was a 3DVAR DA assimilating WVMR and temperature together in addition to the conventional dataset. The third experiment (QT_HYB_DA) assimilated WVMR and temperature together in addition to the conventional dataset with Hybrid DA.&lt;br&gt;The WVMR RMSE with respect to the WVDIAL reduced by 41 % in 3DVAR and still reduced to 51 % in QT_HYB_DA compared to CONV_DA. Although temperature RMSE with respect to TRL increased by 5 % in QT_DA, RMSE significantly reduced to 47 % in QT_HYB_DA compared to CONV_DA. The correlation between the temperature and WVMR variables in the background error covariance matrix of the 3DVAR, which is static and not flow-dependent, limited the improvement in temperature. Flow-dependency in Hybrid DA improved the error correlations.&lt;br&gt;We also present results of a collaborative effort with the Raman lidar for meteorological observation (RALMO) from the MeteoSwiss and the Atmospheric Raman Temperature and Humidity Sounder (ARTHUS) using even finer model resolution. The initial results of the new study will also be presented here.&lt;/p&gt;

Sponsored Data: Smarter Data Pricing with Incomplete Information

2021 ◽  
Author(s):  
Xiaowei Mei ◽  
Hsing Kenneth Cheng ◽  
Subhajyoti Bandyopadhyay ◽  
Liangfei Qiu ◽  
Lai Wei
Keyword(s):  
Consumer Surplus ◽  
Mobile Network ◽  
Complete Information ◽  
Consumer Welfare ◽  
High Definition ◽  
Mobile Data ◽  
Data Intensive ◽  
Data Consumption ◽  
New Business ◽  
The Impact

With the development of data-intensive internet services, the world has witnessed explosive growth in mobile data consumption during the last couple of years. The upcoming generation of 5G-capable phones and networks will continue and even accelerate that process. At the same time, consumers are becoming more conscious about their data consumption because their monthly caps of mobile data plans can be easily exhausted by premium content, such as high-definition videos and virtual-reality games. In response, the mobile network operators (MNOs) have proposed a new business model, the so-called sponsored data plans, to subsidize consumers by transferring at least part of the data bills from consumers to content providers. Although industry practitioners claim that sponsored data plans increase consumer welfare, our analysis reveals that the impact of sponsored data on consumer surplus depends crucially on whether the MNO has complete information of the consumers’ valuation of mobile data. Our analysis helps provide a clearer picture of the impact of sponsored data on consumer surplus while reconciling the conflicting views from scholars, digital rights groups, and the network carriers.

Pre-Clinical Applications of High-Definition Manometry System to Investigate Pelvic Floor Muscle Contribution to Continence Mechanisms in a Rabbit Model

2021 ◽  
Author(s):  
Samuel Sorkhi ◽  
Youngjin Seo ◽  
Valmik Bhargava ◽  
Mahadevan Raj Rajasekaran
Keyword(s):  
Electrical Stimulation ◽  
Anal Canal ◽  
Dynamic Pressure ◽  
Rabbit Model ◽  
Puborectalis Muscle ◽  
High Definition ◽  
System Pressure ◽  
Vaginal Canal ◽  
The Impact ◽  
Stimulation Of

External anal sphincter (EAS), external urethral sphincters and puborectalis muscle (PRM) have important roles in the genesis of anal and urethral closure pressures. In the present study, we defined the contribution of these muscles alone and in combination to the sphincter closure function using a rabbit model and a high-definition manometry (HDM) system. A total of 12 female rabbits were anesthetized and prepared to measure anal, urethral, and vaginal canal pressures using a HDM system. Pressure was recorded at rest, and during electrical stimulation of the EAS and PRM. A few rabbits (n=6) were subjected to EAS injury and the impact of EAS injury on the closure pressure profile was also evaluated. Anal, urethral, and vaginal canal pressures recorded at rest and during electrical stimulation of EAS and PRM demonstrated distinct pressure profiles. EAS stimulation induced anal canal pressure increase whereas PRM stimulation increased the pressures in all the three orifices. Electrical stimulation of EAS after injury resulted in about 19% decrease in anal canal pressure. Simultaneous electrical stimulation of EAS and PRM resulted in an insignificant increase of individual anal canal pressures when compared to pressures recorded after EAS or PRM stimulations alone. Our data confirm that HDM is a viable system to measure dynamic pressure changes within the three orifices and to define the role of each muscle in the development of closure pressures within these orifices in preclinical studies.

scholarly journals Oligopoly competition on market with food products

2011 ◽  
Vol 57 (No. 12) ◽  
pp. 580-588 ◽  
Author(s):  
L. Severová ◽  
L. Kopecká ◽  
R. Svoboda ◽  
J. Brčák
Keyword(s):  
Imperfect Competition ◽  
Market Competition ◽  
Market Model ◽  
Oligopolistic Competition ◽  
Food Sector ◽  
Dominant Firm ◽  
Dominant Position ◽  
Food Market ◽  
Oligopoly Competition ◽  
The Impact

Oligopoly can be defined as a market model of the imperfect competition type, assuming the existence of only a few companies in a sector or industry, from which at least some have a significant market share and can therefore influence the production prices in the market. Many models of oligopoly that differ from one another mostly in the nature of the competitive companies&rsquo; behaviour can be found through the study of oligopolistic structures. Some models describe only the behaviour of two companies in the monitored market (duopoly), others describe several companies of the same power (cartel), still others assume that one of the companies has a dominant position in the market, etc. The text of this article deals with oligopolistic competition in the food market in the terms of the behaviour of grocers and with the impact of this competition upon the market competition in the sector. First, it mentions the agreements on common cooperation and procedure, when cartel market structure originates. It also analyzes the examples of behaviour of oligopoly with a dominant firm on the market with products in the food sector, with the goal of detecting whether the market with these products is significantly influenced by the oligopolistic behaviour of companies. &nbsp;

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