scholarly journals conference_041818.pdf

2019 ◽  
Author(s):  
Somdip Dey ◽  
Amit Kumar Singh ◽  
Dilip Kumar Prasad ◽  
Klaus D. Mcdonald-Maier
Keyword(s):  
Energy Consumption ◽  
Training Image ◽  
Transport Systems ◽  
Test Case ◽  
Image Frame ◽  
Embedded Device ◽  
Time Period ◽  
Bayesian Update ◽  
The Individual ◽  
Short Time

<div><div><div><p>Analyzing video for traffic categorization is an important pillar of Intelligent Transport Systems. However, it is difficult to analyze and predict traffic based on image frames because the representation of each frame may vary significantly within a short time period. This also would inaccurately represent the traffic over a longer period of time such as the case of video. We propose a novel bio-inspired methodology that integrates analysis of the previous image frames of the video to represent the analysis of the current image frame, the same way a human being analyzes the current situation based on past experience. In our proposed methodology, called IRON-MAN (Integrated Rational prediction and Motionless ANalysis), we utilize Bayesian update on top of the individual image frame analysis in the videos and this has resulted in highly accurate prediction of Temporal Motionless Analysis of the Videos (TMAV) for most of the chosen test cases. The proposed approach could be used for TMAV using Convolutional Neural Network (CNN) for applications where the number of objects in an image is the deciding factor for prediction and results also show that our proposed approach outperforms the state-of-the-art for the chosen test case. We also introduce a new metric named, Energy Consumption per Training Image (ECTI). Since, different CNN based models have different training capability and computing resource utilization, some of the models are more suitable for embedded device implementation than the others, and ECTI metric is useful to assess the suitability of using a CNN model in multi-processor systems-on-chips (MPSoCs) with a focus on energy consumption and reliability in terms of lifespan of the embedded device using these MPSoCs.</p></div></div></div>

scholarly journals TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC

2019 ◽  
Author(s):  
Somdip Dey ◽  
Amit Kumar Singh ◽  
Dilip Kumar Prasad ◽  
Klaus D. Mcdonald-Maier
Keyword(s):  
Energy Consumption ◽  
Training Image ◽  
Transport Systems ◽  
Test Case ◽  
Image Frame ◽  
Embedded Device ◽  
Time Period ◽  
Bayesian Update ◽  
The Individual ◽  
Short Time

<div><div><div><p>Analyzing video for traffic categorization is an important pillar of Intelligent Transport Systems. However, it is difficult to analyze and predict traffic based on image frames because the representation of each frame may vary significantly within a short time period. This also would inaccurately represent the traffic over a longer period of time such as the case of video. We propose a novel bio-inspired methodology that integrates analysis of the previous image frames of the video to represent the analysis of the current image frame, the same way a human being analyzes the current situation based on past experience. In our proposed methodology, called IRON-MAN (Integrated Rational prediction and Motionless ANalysis), we utilize Bayesian update on top of the individual image frame analysis in the videos and this has resulted in highly accurate prediction of Temporal Motionless Analysis of the Videos (TMAV) for most of the chosen test cases. The proposed approach could be used for TMAV using Convolutional Neural Network (CNN) for applications where the number of objects in an image is the deciding factor for prediction and results also show that our proposed approach outperforms the state-of-the-art for the chosen test case. We also introduce a new metric named, Energy Consumption per Training Image (ECTI). Since, different CNN based models have different training capability and computing resource utilization, some of the models are more suitable for embedded device implementation than the others, and ECTI metric is useful to assess the suitability of using a CNN model in multi-processor systems-on-chips (MPSoCs) with a focus on energy consumption and reliability in terms of lifespan of the embedded device using these MPSoCs.</p></div></div></div>

scholarly journals TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC

2019 ◽  
Author(s):  
Somdip Dey ◽  
Amit Kumar Singh ◽  
Dilip Kumar Prasad ◽  
Klaus D. Mcdonald-Maier
Keyword(s):  
Energy Consumption ◽  
Training Image ◽  
Transport Systems ◽  
Test Case ◽  
Image Frame ◽  
Embedded Device ◽  
Time Period ◽  
Bayesian Update ◽  
The Individual ◽  
Short Time

<div><div><div><p>Analyzing video for traffic categorization is an important pillar of Intelligent Transport Systems. However, it is difficult to analyze and predict traffic based on image frames because the representation of each frame may vary significantly within a short time period. This also would inaccurately represent the traffic over a longer period of time such as the case of video. We propose a novel bio-inspired methodology that integrates analysis of the previous image frames of the video to represent the analysis of the current image frame, the same way a human being analyzes the current situation based on past experience. In our proposed methodology, called IRON-MAN (Integrated Rational prediction and Motionless ANalysis), we utilize Bayesian update on top of the individual image frame analysis in the videos and this has resulted in highly accurate prediction of Temporal Motionless Analysis of the Videos (TMAV) for most of the chosen test cases. The proposed approach could be used for TMAV using Convolutional Neural Network (CNN) for applications where the number of objects in an image is the deciding factor for prediction and results also show that our proposed approach outperforms the state-of-the-art for the chosen test case. We also introduce a new metric named, Energy Consumption per Training Image (ECTI). Since, different CNN based models have different training capability and computing resource utilization, some of the models are more suitable for embedded device implementation than the others, and ECTI metric is useful to assess the suitability of using a CNN model in multi-processor systems-on-chips (MPSoCs) with a focus on energy consumption and reliability in terms of lifespan of the embedded device using these MPSoCs.</p></div></div></div>

A Pergunta de Feuerbach a Stirner

2013 ◽  
Vol 21 (41) ◽  
pp. 97-108
Author(s):  
Adriana Veríssimo Serrão ◽  
Keyword(s):  
Short Time Period ◽  
Ludwig Feuerbach ◽  
Time Period ◽  
History Of ◽  
The Individual ◽  
Short Time ◽  
Unique Individual

A complex controversy, the debate between Max Stimer and Ludwig Feuerbach is certainly one of the most interesting in the history of Contemporary ideas and surpasses, by the fruitfulness contained therein, the short time period in which it unfolded. The article considers the controversy in a particular aspect: the understanding of the category of the individual, showing the incompatibility between Unique-individual (Stimer) and the individual as being in relation (Feuerbach).

TEMPORAL STABILITY IN THE INDIVIDUAL FEATURES IN THE CALLS OF EAGLE OWLS (BUBO BUBO)

Behaviour ◽  
2001 ◽  
Vol 138 (11-12) ◽  
pp. 1407-1419 ◽  
Author(s):  
Thierry Lengagne
Keyword(s):  
Temporal Stability ◽  
Social Contact ◽  
Specific Pattern ◽  
Acoustic Properties ◽  
Bubo Bubo ◽  
Individual Pattern ◽  
Time Period ◽  
The Individual ◽  
Short Time

AbstractMost studies dealing with individual pattern in acoustic signals are based on recordings made within a few hours or a few days. However, in long-lived animals, individual signatures are likely to be involved in social contact and pairing over several years. Variability of calls and more particularly of individual specific pattern over years has been poorly investigated. This study examines calls produced by a nocturnal long-lived raptor, eagle owls (Bubo bubo) in order (1) to determine which call structures are individually specific and (2) to examine variability of these individual structures over 2 years. A computerised sound analysis and subsequent data were submitted to univariate and multivariate statistics to determine individual specific cues of the call. A first analysis conducted on 116 calls emitted by 9 wild males recorded on a short time period enables to identify each emitter without any mistake. Analysis conducted on 70 calls emitted by 5 captive birds recorded during two different years emphasised a weak variation of all call parameters. Discriminant analysis correctly classified 100% of the individual eagle owls and thus, it is possible to reliably assign a call to the individual caller based on the acoustic properties of the vocalisation. We therefore conclude that territorial calls emitted by eagle owls may constitute an individual pattern over several years. The possible biological role of individual signatures and their use for monitoring population purpose are discussed.

scholarly journals Multi-objective optimization of the management of a waterworks using an integrated well field model

2012 ◽  
Vol 43 (4) ◽  
pp. 430-444 ◽  
Author(s):  
Annette K. Hansen ◽  
Henrik Madsen ◽  
Peter Bauer-Gottwein ◽  
Anne Katrine V. Falk ◽  
Dan Rosbjerg
Keyword(s):  
Energy Consumption ◽  
Field Model ◽  
Contaminated Site ◽  
Test Case ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pareto Curve ◽  
Well Field ◽  
Production Wells ◽  
The Individual

This study uses multi-objective optimization of an integrated well field model to improve the management of a waterworks. The well field model, called WELLNES (WELL field Numerical Engine Shell) is a dynamic coupling of a groundwater model, a pipe network model, and a well model. WELLNES is capable of predicting the water level and the energy consumption of the individual production wells. The model has been applied to Søndersø waterworks in Denmark, where it predicts the energy consumption within 1.8% of the observed. The objectives of the optimization problem are to minimize the specific energy of the waterworks and to avoid inflow of contaminated water from a nearby contaminated site. The decision variables are the pump status (on/off), and the constraint is that the waterworks has to provide a certain amount of drinking water. The advantage of multi-objective optimization is that the Pareto curve provides the decision-makers with compromise solutions between the two competing objectives. In the test case the Pareto optimal solutions are compared with an exhaustive benchmark solution. It is shown that the energy consumption can be reduced by 4% by changing the pumping configuration without violating the protection against contamination.

World Economy: Prospects and Barriers for Recovery

2012 ◽  
pp. 61-83 ◽  
Author(s):  
M. Ershov
Keyword(s):  
World Economy ◽  
Western World ◽  
Short Time Period ◽  
Market Segments ◽  
Junk Bonds ◽  
The Past ◽  
Time Period ◽  
The Us ◽  
Global Liquidity ◽  
Short Time

According to the latest forecasts, it will take 10 years for the world economy to get back to “decent shape”. Some more critical estimates suggest that the whole western world will have a “colossal mess” within the next 5–10 years. Regulators of some major countries significantly and over a short time‑period changed their forecasts for the worse which means that uncertainty in the outlook for the future persists. Indeed, the intensive anti‑crisis measures have reduced the severity of the past problems, however the problems themselves have not disappeared. Moreover, some of them have become more intense — the eurocrisis, excessive debts, global liquidity glut against the backdrop of its deficit in some of market segments. As was the case prior to the crisis, derivatives and high‑risk operations with “junk” bonds grow; budget problems — “fiscal cliff” in the US — and other problems worsen. All of the above forces the regulators to take unprecedented (in their scope and nature) steps. Will they be able to tackle the problems which emerge?

Geographical aspects of the diffusion of passive houses

2013 ◽  
Vol 4 (2) ◽  
pp. 151-156 ◽  
Author(s):  
G. Kozma ◽  
E. Molnár ◽  
K. Czimre ◽  
J. Pénzes
Keyword(s):  
Energy Consumption ◽  
Energy Resources ◽  
Substantial Part ◽  
Renewable Energy Resources ◽  
Passive House ◽  
The Earth ◽  
Passive Houses ◽  
The Individual ◽  
Geographical Locations ◽  
Over Time

Abstract In our days, energy issues belong to the most important problems facing the Earth and the solution may be expected partly from decreasing the amount of the energy used and partly from the increased utilisation of renewable energy resources. A substantial part of energy consumption is related to buildings and includes, inter alia, the use for cooling/heating, lighting and cooking purposes. In the view of the above, special attention has been paid to minimising the energy consumption of buildings since the late 1980s. Within the framework of that, the passive house was created, a building in which the thermal comfort can be achieved solely by postheating or postcooling of the fresh air mass without a need for recirculated air. The aim of the paper is to study the changes in the construction of passive houses over time. In addition, the differences between the geographical locations and the observable peculiarities with regard to the individual building types are also presented.

Effect of short-term use of oral contraceptive pills on intraocular pressure

2020 ◽  
Vol 35 (3) ◽  
Author(s):  
Tayyaba Gul Malik ◽  
Hina Nadeem ◽  
Eiman Ayesha ◽  
Rabail Alam
Keyword(s):  
Oral Contraceptive ◽  
Childbearing Age ◽  
Short Term ◽  
Oral Contraceptive Pills ◽  
Contraceptive Pills ◽  
Time Period ◽  
Significant Difference ◽  
Group A ◽  
Group B ◽  
Short Time

Objective: To study the effect of short-term use of oral contraceptive pills on intra-ocular pressures of women of childbearing age.   Methods: It was a comparative observational study, conducted at Arif memorial teaching hospital and Allied hospital Faisalabad for a period of six months. Hundred female subjects were divided into two groups of 50 each. Group A, included females, who had been taking oral contraceptive pills (OCP) for more than 6 months and less than 36 months. Group B, included 50 age-matched controls, who had never used OCP. Ophthalmic and systemic history was taken. Careful Slit lamp examination was performed and intraocular pressures (IOP) were measured using Goldman Applanation tonometer. Fundus examination was done to rule out any posterior segment disease. After collection of data, we analyzed and compared the intra ocular pressures between the two groups by using ANOVA in SPSS version 21.   Results: Average duration of using OCP was 14.9 months. There was no significant difference of Cup to Disc ratios between the two groups (p= 0.109). However, significant difference was noted between the IOP of OCP group and controls. (p=0.000). Conclusion: OCP significantly increase IOP even when used for short time period.

scholarly journals Analysis on the Effect of the Mobility of Combustion Vehicles in the Environment of Cities and the Improvement in Air Pollution in Europe: A Vision for the Awareness of Citizens and Policy Makers

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 184
Author(s):  
Javier Cárcel-Carrasco ◽  
Manuel Pascual-Guillamón ◽  
Fidel Salas-Vicente
Keyword(s):  
Air Pollution ◽  
Road Traffic ◽  
Urban Environments ◽  
Transport Systems ◽  
Sustainable Transport ◽  
Policy Makers ◽  
Indirect Measure ◽  
Large Cities ◽  
Combustion Gases ◽  
Short Time

Today, the design and remodeling of urban environments is being sought in order to achieve green, healthy, and sustainable cities. The effect of air pollution in cities due to vehicle combustion gases is an important part of the problem. Due to the indirect effect caused by the Covid-19 pandemic, political powers in Europe have imposed confinement measures for citizens by imposing movement restrictions in large cities. This indirect measure has given us a laboratory to show how the reduction in vehicle circulation affects in a short time the levels of air pollution in cities. Therefore, this article analyzes the effect in different European cities such as Milan, Prague, Madrid, Paris, and London. These cities have been chosen due to their large amount of daily road traffic that generates high levels of pollution; therefore, it can clearly show the fall in these pollutants in the air in the analyzed period. The results shown through this study indicate that the reduction in combustion vehicles greatly affects the levels of pollution in different cities. In these periods of confinement, there was an improvement in air quality where pollutant values dropped to 80% compared to the previous year. This should serve to raise awareness among citizens and political powers to adopt measures that induce sustainable transport systems.

scholarly journals Political ideology and vaccination willingness: implications for policy design

2021 ◽  
Author(s):  
Marc Debus ◽  
Jale Tosun
Keyword(s):  
Side Effects ◽  
Political Ideology ◽  
Policy Design ◽  
Public Support ◽  
Individual Freedom ◽  
Short Time Period ◽  
Successful Development ◽  
Individual Level ◽  
Time Period ◽  
Short Time

AbstractThe COVID-19 pandemic has forced governments to impose major restrictions on individual freedom in order to stop the spread of the virus. With the successful development of a vaccine, these restrictions are likely to become obsolete—on the condition that people get vaccinated. However, parts of the population have reservations against vaccination. While this is not a recent phenomenon, it might prove a critical one in the context of current attempts to manage the COVID-19 pandemic. Consequently, the task of designing policies suitable for attaining high levels of vaccination deserves enhanced attention. In this study, we use data from the Eurobarometer survey fielded in March 2019. They show that 39% of Europeans consider vaccines to cause the diseases which they should protect against, that 50% believe vaccines have serious side effects, that 32% think that vaccines weaken the immune system, and that 10% do not believe vaccines are tested rigorously before authorization. We find that—even when controlling for important individual-level factors—ideological extremism on both ends of the spectrum explains skepticism of vaccination. We conclude that policymakers must either politicize the issue or form broad alliances among parties and societal groups in order to increase trust in and public support for the vaccines in general and for vaccines against COVID-19 in particular, since the latter were developed in a very short time period and resulted—in particular in case of the AstraZeneca vaccine—in reservations because of the effectiveness and side effects of the new vaccines.

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