the purpose of this study is to present a method for decreasing energy usage and enhancing building performance in a hot and dry climate. this article examines the impact of various factors on a building9;s energy ...
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the constant increase of vehicular demand at intersections hurts intersection crossing times and queue formation on avenues. this paper presents a microsimulation model using a stochastic algorithm for traffic signal ...
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the problem of maximizing influence aims to select a portion of seed users in social networks, making the diffusion wider of users9; opinions. For a topic, the diffusion width is the number of activated users, and ...
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Images transmitted through social networks generally undergo JPEG recompression, which degrades image quality and could disrupt embedded secret messages, making error-free extraction of such messages difficult. In thi...
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the proceedings contain 85 papers. the topics discussed include: review on machine learning-based change detection and pan sharpening algorithms for remote sensing datasets;design of 4-stage single-ended ring oscillat...
ISBN:
(纸本)9798350319651
the proceedings contain 85 papers. the topics discussed include: review on machine learning-based change detection and pan sharpening algorithms for remote sensing datasets;design of 4-stage single-ended ring oscillators with quadrature-phase output;brain tumor classification on MRI images with big transfer and vision transformer: comparative study;detection of heart disease using association pattern mining;design and performance analysis of gold-coated photonic crystal fiber plasmonic biosensor;sentiment analysis on Bangla and phonetic Bangla reviews: a product rating procedure using NLP and machine learning;whale optimization algorithm for renewable energy sources integration considering solar-to-vehicle technology;and ANTIBIOLOG: an advanced tool for combat antibiotic resistance with enhanced multinomial logistic regression.
Infrastructure-from-Code (IfC) is a new approach to DevOps and an advancement of Infrastructure-as-Code (IaC). One of its key concepts is to provide a higher level of abstraction facilitated by new programming languag...
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ISBN:
(纸本)9798400711800
Infrastructure-from-Code (IfC) is a new approach to DevOps and an advancement of Infrastructure-as-Code (IaC). One of its key concepts is to provide a higher level of abstraction facilitated by new programming languages or software development kits, which automatically generate the necessary code and configurations to provision the infrastructure, deploy the application, andmanage the cloud services. IfC approaches promise higher developer productivity by reducing DevOps-specific tasks and the expert knowledge required. However, empirical studies on developers' performance, perceived ease of use, and usability related to IfC are missing. We conducted a controlled experiment (n=40) to assess the usability of the cloud programming languages (PL) and software development kits (SDK). Both approaches involve similar effectiveness. We found that the PL-based approach was moderately less efficient but increased correctness with time spent on programming. Tracing generated infrastructure configurations from code was more challenging withthe SDK-based approach. Applying thematic analysis, 19themes emerged related to usability barriers, supporting factors, security, cloud cost, and enhancement areas. We conclude with five findings and future directions.
this paper presents creating a human detection and counting software with a heat map density feature that can accept image or video input and output the number of humans detected with bounding boxes. A heat map allows...
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ISBN:
(纸本)9798350349795;9798350349788
this paper presents creating a human detection and counting software with a heat map density feature that can accept image or video input and output the number of humans detected with bounding boxes. A heat map allows for easy visualization of human density in an area or image, allowing for easier foot traffic monitoring. Multiple convolutional neural network (CNN) models were tested and compared to be used as artificial intelligence (AI) for human detection of images and videos. the research method used is quantitative. It was used to determine the best CNN model between YOLOv5-crowd or YOLOv5m, YOLOv5s, R50-FPN 3x, and SSD. Additionally, it was used to determine the best confidence and IoU threshold to optimize the best CNN model. the datasets used for these methods were composed of thirty randomly selected images of non-overlapping humans, crowded/overlapping humans, and from a chosen video. there were three tests conducted for each method with each dataset. these tests are accuracy, precision, and speed. Once the best CNN model and its best parameter have been determined. this software includes a heat map functionality that is composed of a current heat map and an overall heat map. the results showed that YOLOv5-crowd or YOLOv5m is the best CNN model with its optimized value of 25% confidence threshold and 15% IoU threshold.
An increasing number of criminals are trying to get their hands on sensitive information, which has increased the urgency with which we must secure our data. Reversible data hiding (RDH) is a novel approach to data co...
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this paper presents a preliminary design for abandoned mine pits-underground tunnel-based pumped hydro storage (PHS) system. In the design, the continuous abandoned mining pits along large runoff rivers can be utilize...
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the majority of process industry systems needed to regulate multiple variables by manipulating several controlled variables. A MIMO system is one that has multiple inputs and outputs. the process exhibits a nonlinear ...
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