Characteristics of Stereo Imaging using Non-Identical Cameras for Object Detection

2021 ◽  
Vol 6 (7) ◽  
pp. 122-126
Author(s):  
Ahmed M. D. E. Hassanein ◽  
Amira H. N. AboElanen ◽  
Salma Ahmed H. Z.

The fear from the continuous spreading of the Covid-19 pandemic had put lot of restrictions on the movement of goods around the world. In Egypt, the importing of goods especially electronic products from many countries including China was crucial to the research and educational purposes. The restrictions had stopped the importing of many electronic devices from China including cameras. Object detection and identification were among the hot topics of research in our university which depended mainly on imported cameras. In this paper we tackle the problem of setting up stereo cameras using old non identical cameras to do object detection. The selection of the cameras was not optional since we had to use what we found in our old laptops. OpenCV and Python programming commands were used to set the two cameras to obtain equally clear images as much as possible. A disparity map was then calculated using openCV and its accuracy was then discussed. Accuracy was dependable on the sharpness of the cameras used, Gamma parameter, number of pixels per image and matching algorithm to match the two images obtained using the stereo cameras.

Author(s):  
Chiraparapu Srinivasa Rao ◽  
N. Naga Sarveswara Rao

The introduction of semi conductors changed the world which made our electronic devices and personal computers simple and complex this impact made many companies to introduce lot of computer organized devices which are available to commoners and every individual due to this within a years the usage of these items increased that means the material demand increased in a fast forward the pollutants from it also increased which is harming environment. So, in order to save environment green computing must be followed this topic is very important as how recycling, non-biodegradable components, eco friendly products, hazardous CFCs all comes under this including energy saving, efficiency providing things, sustainable resources. This presentation gives a general overview on the current state of opportunities which are seeing it as a way to create new profit centers while trying to help the environment cause and several formations that we can explore in it in coming future. The new electronic products and services with optimum efficiency and all possible options towards energy saving.


2017 ◽  
Vol 24 (1) ◽  
pp. 46-72
Author(s):  
Jacob Tootalian

Ben Jonson's early plays show a marked interest in prose as a counterpoint to the blank verse norm of the Renaissance stage. This essay presents a digital analysis of Jonson's early mixed-mode plays and his two later full-prose comedies. It examines this selection of the Jonsonian corpus using DocuScope, a piece of software that catalogs sentence-level features of texts according to a series of rhetorical categories, highlighting the distinctive linguistic patterns associated with Jonson's verse and prose. Verse tends to employ abstract, morally and emotionally charged language, while prose is more often characterized by expressions that are socially explicit, interrogative, and interactive. In the satirical economy of these plays, Jonson's characters usually adopt verse when they articulate censorious judgements, descending into prose when they wade into the intractable banter of the vicious world. Surprisingly, the prosaic signature that Jonson fashioned in his earlier drama persisted in the two later full-prose comedies. The essay presents readings of Every Man Out of his Humour and Bartholomew Fair, illustrating how the tension between verse and prose that motivated the satirical dynamics of the mixed-mode plays was released in the full-prose comedies. Jonson's final experiments with theatrical prose dramatize the exhaustion of the satirical impulse by submerging his characters almost entirely in the prosaic world of interactive engagement.


2020 ◽  
Vol 2020 (16) ◽  
pp. 41-1-41-7
Author(s):  
Orit Skorka ◽  
Paul J. Kane

Many of the metrics developed for informational imaging are useful in automotive imaging, since many of the tasks – for example, object detection and identification – are similar. This work discusses sensor characterization parameters for the Ideal Observer SNR model, and elaborates on the noise power spectrum. It presents cross-correlation analysis results for matched-filter detection of a tribar pattern in sets of resolution target images that were captured with three image sensors over a range of illumination levels. Lastly, the work compares the crosscorrelation data to predictions made by the Ideal Observer Model and demonstrates good agreement between the two methods on relative evaluation of detection capabilities.


Author(s):  
Mark Grimshaw-Aagaard

Mark Grimshaw-Aagaard addresses the role of sound in the creation of presence in virtual and actual worlds. He argues that imagination is a central part of the generation and selection of perceptual hypotheses—models of the world in which we can act—that emerge from what Grimshaw-Aagaard calls the “exo-environment” (the sensory input) and the “endo-environment” (the cognitive input). Grimshaw-Aagaard further divides the exo-environment into a primarily auditory and a primarily visual dimension and he deals with the actual world of his own apartment and the virtual world of first-person-shooter computer games in order to exemplify how we perceptually construct an environment that allows for the creation of presence.


Author(s):  
Irfan Ullah Khan ◽  
Nida Aslam ◽  
Malak Aljabri ◽  
Sumayh S. Aljameel ◽  
Mariam Moataz Aly Kamaleldin ◽  
...  

The COVID-19 outbreak is currently one of the biggest challenges facing countries around the world. Millions of people have lost their lives due to COVID-19. Therefore, the accurate early detection and identification of severe COVID-19 cases can reduce the mortality rate and the likelihood of further complications. Machine Learning (ML) and Deep Learning (DL) models have been shown to be effective in the detection and diagnosis of several diseases, including COVID-19. This study used ML algorithms, such as Decision Tree (DT), Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and K-Nearest Neighbor (KNN) and DL model (containing six layers with ReLU and output layer with sigmoid activation), to predict the mortality rate in COVID-19 cases. Models were trained using confirmed COVID-19 patients from 146 countries. Comparative analysis was performed among ML and DL models using a reduced feature set. The best results were achieved using the proposed DL model, with an accuracy of 0.97. Experimental results reveal the significance of the proposed model over the baseline study in the literature with the reduced feature set.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Florian Follert ◽  
Lukas Richau ◽  
Eike Emrich ◽  
Christian Pierdzioch

AbstractVarious scandals have shaken public confidence in football's global governing body, Fédération Internationale de Football Association (FIFA). It is evident that decision-making within such a collective provides incentives for corruption. We apply the Buchanan-Tullock model that is known from Public Choice theory to study collective decision-making within FIFA. On the basis of this theoretical model, we develop specific proposals that can contribute to combating corruption. Three core aspects are discussed: the selection of the World Cup host, transparency in the allocation of budgets, and clear guidelines for FIFA officials and bodies with regard to their rights and accountability. Our insights can contribute to a better understanding of collective decision making in heterogenous groups.


Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 301
Author(s):  
Cristhian Manuel Durán-Acevedo ◽  
Jeniffer Katerine Carrillo-Gómez ◽  
Camilo Andrés Albarracín-Rojas

This article studies the development and implementation of different electronic devices for measuring signals during stress situations, specifically in academic contexts in a student group of the Engineering Department at the University of Pamplona (Colombia). For the research’s development, devices for measuring physiological signals were used through a Galvanic Skin Response (GSR), the electrical response of the heart by using an electrocardiogram (ECG), the electrical activity produced by the upper trapezius muscle (EMG), and the development of an electronic nose system (E-nose) as a pilot study for the detection and identification of the Volatile Organic Compounds profiles emitted by the skin. The data gathering was taken during an online test (during the COVID-19 Pandemic), in which the aim was to measure the student’s stress state and then during the relaxation state after the exam period. Two algorithms were used for the data process, such as Linear Discriminant Analysis and Support Vector Machine through the Python software for the classification and differentiation of the assessment, achieving 100% of classification through GSR, 90% with the E-nose system proposed, 90% with the EMG system, and 88% success by using ECG, respectively.


Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 459
Author(s):  
Ignacio Cazcarro ◽  
Albert E. Steenge

This article originates from the theoretical and empirical characterization of factors in the World Trade Model (WTM). It first illustrates the usefulness of this type of model for water research to address policy questions related to virtual water trade, water constraints and water scarcity. It also illustrates the importance of certain key decisions regarding the heterogeneity of water and its relation to the technologies being employed and the prices obtained. With regard to WTM, the global economic input–output model in which multiple technologies can produce a “homogeneous output”, it was recently shown that two different mechanisms should be distinguished by which multiple technologies can arise, i.e., from “technology-specific” or from “shared” factors, which implies a mechanism-specific set of prices, quantities and rents. We discuss and extend these characterizations, notably in relation to the real-world characterization of water as a factor (for which we use the terms technology specific, fully shared and “mixed”). We propose that the presence of these separate mechanisms results in the models being sensitive to relatively small variations in specific numerical values. To address this sensitivity, we suggest a specific role for specific (sub)models or key choices to counter unrealistic model outcomes. To support our proposal we present a selection of simulations for aggregated world regions, and show how key results concerning quantities, prices and rents can be subject to considerable change depending on the precise definitions of resource endowments and the technology-specificity of the factors. For instance, depending on the adopted water heterogeneity level, outcomes can vary from relatively low-cost solutions to higher cost ones and can even reach infeasibility. In the main model discussed here (WTM) factor prices are exogenous, which also contributes to the overall numerical sensitivity of the model. All this affects to a large extent our interpretation of the water challenges, which preferably need to be assessed in integrated frameworks, to account for the main socioeconomic variables, technologies and resources.


2003 ◽  
Vol 92 (3_suppl) ◽  
pp. 1091-1096 ◽  
Author(s):  
Nobuhiko Fujihara ◽  
Asako Miura

The influences of task type on search of the World Wide Web using search engines without limitation of search domain were investigated. 9 graduate and undergraduate students studying psychology (1 woman and 8 men, M age = 25.0 yr., SD = 2.1) participated. Their performance to manipulate the search engines on a closed task with only one answer were compared with their performance on an open task with several possible answers. Analysis showed that the number of actions was larger for the closed task ( M = 91) than for the open task ( M = 46.1). Behaviors such as selection of keywords (averages were 7.9% of all actions for the closed task and 16.7% for the open task) and pressing of the browser's back button (averages were 40.3% of all actions for the closed task and 29.6% for the open task) were also different. On the other hand, behaviors such as selection of hyperlinks, pressing of the home button, and number of browsed pages were similar for both tasks. Search behaviors were influenced by task type when the students searched for information without limitation placed on the information sources.


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