color coding
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2021 ◽  
Author(s):  
Philippe Audrain

Abstract Oil&Gas facilities operators are looking for safe and efficient Turnaround cycles with minimum downtime. However planning such project, ensuring availability of materials, of equipment and of skilled personnel, as well as orchestrating the hundreds of processes and stakeholders involved in the execution to keep it on schedule and on budget is a huge and complex challenge. How to handle and take into account what is planned and what is unplanned? A Turnaround project can be managed with similar approach than an EPC (Engineering Procurement Construction) project. It should leverage collaborative best practices developed to handle capital projects. Those practices allow to plan more productively, to execute with agility while taking into account unplanned changes "on the fly" without affecting on-going activities. A digital collaborative platform enables integrated knowledge as well as real-time visibility into every aspect of the Turnaround. It provides seamless collaboration for productive planning and intelligent execution. This is a strategy, which eliminates unproductive tasks and brings stakeholders together in a dynamic, collaborative management system. With better orchestration, plant owners and operators can reduce their planning and preparation workload by around 30% with also positive impact on all subcontractors. With a better seamless execution, plant owners and operators can get things done right the first time and recover to unplanned events. They can reduce the risk to be out of schedule and keep on track with more margin. They can even reduce the execution time by up to 5% in some situation. Finally, it enforces the reuse of insights that are gathered along Turnarounds to improve safety and extend by 20% the cycle in future Turnaround. A 3D collaborative platform provides an easy to use single source of truth to manage and monitor a Turnaround. Using such 3D environment, one can quickly identify the location of an issue where potential bottlenecks occur, and get access to any relevant vendor's specification, inspection or maintenance history report. Such 3D platform can also help to easily track with color-coding the leak test results of the many joints and their potential disturbances after Turnaround inspection.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yang Liu ◽  
Weifeng Ma ◽  
Xiang Guo ◽  
Xuefen Lin ◽  
Chennan Wu ◽  
...  

In the present study, we tested the effectiveness of color coding on the programming learning of students who were learning from video lectures. Effectiveness was measured using multimodal physiological measures, combining eye tracking and electroencephalography (EEG). Using a between-subjects design, 42 university students were randomly assigned to two video lecture conditions (color-coded vs. grayscale). The participants’ eye tracking and EEG signals were recorded while watching the assigned video, and their learning performance was subsequently assessed. The results showed that the color-coded design was more beneficial than the grayscale design, as indicated by smaller pupil diameter, shorter fixation duration, higher EEG theta and alpha band power, lower EEG cognitive load, and better learning performance. The present findings have practical implications for designing slide-based programming learning video lectures; slides should highlight the format of the program code using color coding.


Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Hsin-Yen Larry Wu ◽  
Polly Yingshan Hsu

Abstract Background Ribo-seq has revolutionized the study of genome-wide mRNA translation. High-quality Ribo-seq data display strong 3-nucleotide (nt) periodicity, which corresponds to translating ribosomes deciphering three nts at a time. While 3-nt periodicity has been widely used to study novel translation events such as upstream ORFs in 5′ untranslated regions and small ORFs in presumed non-coding RNAs, tools that allow the visualization of these events remain underdeveloped. Results RiboPlotR is a visualization package written in R that presents both RNA-seq coverage and Ribo-seq reads in genomic coordinates for all annotated transcript isoforms of a gene. Specifically, for individual isoform models, RiboPlotR plots Ribo-seq data in the context of gene structures, including 5′ and 3′ untranslated regions and introns, and it presents the reads for all three reading frames in three different colors. The inclusion of gene structures and color-coding the reading frames facilitate observing new translation events and identifying potential regulatory mechanisms. Conclusions RiboPlotR is freely available (https://github.com/hsinyenwu/RiboPlotR and https://sourceforge.net/projects/riboplotr/) and allows the visualization of translated features identified in Ribo-seq data.


Author(s):  
Alexander Skulmowski

AbstractDigital learning increasingly makes use of realistic visualizations, although realism can be demanding for learners. Color coding is a popular way of helping learners understand visualizations and has been found to aid in learning with detailed visualizations. However, previous research has shown that color coding must not always be an effective aid, and that it even may reduce retention when used with simple visualizations. This study assessed whether the presence of color coding in learning tests has an effect after having learned using a detailed visualization that either featured color cues or one that did not. The results indicate that color coding helps learners the most if the learning tests also feature color coding. Importantly, learning with color-coded visualizations and being tested without color cues leads to the worst results in retention and transfer tests. Regarding transfer, color coding in the testing visualization boosts performance regardless of the presence of color cues in the learning phase. The results of this study challenge popular perspectives aiming at optimizing learning by removing potential sources of difficulty. Depending on the learning test, it may be more effective to keep a certain level of difficulty in the learning task when learning with digital media.


2021 ◽  
Vol 2094 (2) ◽  
pp. 022058
Author(s):  
M F Noskov

Abstract The method of seam welds quality control using X-ray is considered. The X-ray methods of control are based on the capability of gamma radiation to penetrate through a metal including welded areas. Regions having defects - pores, faulty welds, cracks, scale inclusions - look darker on images. Appearance, linear dimensions and depths of the defects usually are determined by a visual examination comparing the X-ray image with standard defects images. It is known that a human eye can distinguish not more than 12-15 shades on a black and white image but more than a hundred on a colored image. The paper considers possibilities of the developed method by the author and based on the optical mixing of two or three complementary colors - red, blue and green. The method can use only one pair of the colors at a time, i.e. it is possible to have three various pairs for a pseudo-color image. The obtained pseudo-color image has the same informational capacity as the original black and white image. But the greater fraction of the saved information becomes available for visual examination of the X-ray image. In the end the efficiency of the seam weld quality control increases.


Author(s):  
Yafeng Niu ◽  
Tianyu Zhou ◽  
Ling Bai

HUD is currently the main flight status display commonly used in modern fighter jets. Color coding is an important method in HUD visual information display. Different weather, terrain, climate, time, season, and other environmental phenomena will affect the HUD. The HUD’s multi-color display mode has become a key method to solve the overload display of dynamic and static information in complex flight environments. This paper discusses the use of eye-tracking equipment to record eye movement experimental data using different HUD color schemes, as well as the correct rate and response time to complete the task, in order to evaluate the color combinations of different characters in different high-altitude and sea flight background conditions. Cognitive status was obtained by seven key eye movement indicators (average fixation time, first fixation duration, fixation ratio, fixation time ratio, fixation track length and lookback times, and pupil diameter) designed by color-coded dimensions to evaluate the key element information of the HUD: discernibility, which is related to average fixation time, duration of first fixation, and pupil diameter; perceptibility, which is related to gaze ratio, fixation time ratio, and other indicators; and accessibility, which is related to fixation track length and number of lookbacks. At the same time, the background color brightness interval that affects color matching was obtained, and five key information colors (K1(0, 100, 100), K2(30, 100, 100), K3(300, 100, 100), K4(330, 100, 100), and K5(60, 100, 100)) were selected for experimental exploration to obtain the best matching scheme for color coding of key elements of the HUD against different lightness backgrounds. The results indicate that against a flight background with ocean brightness, ranges are [1–20], [21–40], [41–60], and [61–99] and colors with hues of 30, 300, 60, and 300 are selected for the key information. Finally, the results give an improvement and optimization plan for the HUD. The research conclusion provides some guidance for HUD design and improvement for different flight backgrounds, and a reference for improving pilots' cognitive performance.


JAMIA Open ◽  
2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Masha Kuznetsova ◽  
Michelle L Frits ◽  
Sevan Dulgarian ◽  
Christine Iannaccone ◽  
Elizabeth Mort ◽  
...  

Abstract The objective of this study is to review and compare patient safety dashboards used by hospitals and identify similarities and differences in their design, format, and scope. We reviewed design features of electronic copies of patient safety dashboards from a representative sample of 10 hospitals. The results show great heterogeneity in the format, presentation, and scope of patient safety dashboards. Hospitals varied in their use of performance indicators (targets, trends, and benchmarks), style of color coding, and timeframe for the displayed metrics. The average number of metrics per dashboard display was 28, with a wide range from 7 to 84. Given the large variation in dashboard design, there is a need for future work to assess which approaches are associated with the best outcomes, and how specific elements contribute to usability, to help customize dashboards to meet the needs of different clinical, and operational stakeholders.


Author(s):  
Rafael Garcia ◽  
Tanja Munz ◽  
Daniel Weiskopf

AbstractIn this paper, we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks. Our technique allows the user to interactively inspect how hidden states store and process information throughout the feeding of an input sequence into the network. The technique can help answer questions, such as which parts of the input data have a higher impact on the prediction and how the model correlates each hidden state configuration with a certain output. Our visual analytics approach comprises several components: First, our input visualization shows the input sequence and how it relates to the output (using color coding). In addition, hidden states are visualized through a nonlinear projection into a 2-D visualization space using t-distributed stochastic neighbor embedding to understand the shape of the space of the hidden states. Trajectories are also employed to show the details of the evolution of the hidden state configurations. Finally, a time-multi-class heatmap matrix visualizes the evolution of the expected predictions for multi-class classifiers, and a histogram indicates the distances between the hidden states within the original space. The different visualizations are shown simultaneously in multiple views and support brushing-and-linking to facilitate the analysis of the classifications and debugging for misclassified input sequences. To demonstrate the capability of our approach, we discuss two typical use cases for long short-term memory models applied to two widely used natural language processing datasets.


2021 ◽  
Author(s):  
Zhiming Li ◽  
Shunli Liu ◽  
Tingfei Yan ◽  
Yabin Hu ◽  
Chuanyu Zhang ◽  
...  

Abstract Purpose: To investigate the clinical feasibility of diagnosing and classifying patent foramen ovale (PFO) in patients with cerebral disorders by cardiac cine MRI (CCMRI) without contrast.Materials and Methods: Forty-four patients (24 males and 20 females; mean age, 41.3 years; range, 21–64 years) with cerebral disorders underwent contrast transcranial Doppler sonography (cTCD) and non-enhanced CCMRI examinations between October 2019 and March 2020. CCMRI was performed with a 3.0T magnetic resonance (MR) scanner using the OBL FIESTA CINE 4CH sequence. The scanning direction was perpendicular to the interatrial septum (IAS). The obtained MR images were analyzed by AW station 4.4. Pseudo-color coding was performed based on the different phases. The blood shunt condition was observed and recorded, noting the PFO length and width and whether it was complicated by IAS aneurysm or secondary septum thickening.Results: Thirty-nine of the 44 patients with cerebral disorders were confirmed to have right-to-left shunt by cTCD, and 37 of them were diagnosed with PFO by CCMRI. Two of the five remaining patients were also diagnosed with PFO by CCMRI. Compared with cTCD as a standard, CCMRI assessment resulted in the following: sensitivity, 94.9%; specificity, 60.0%; accuracy, 90.9%; positive predictive value, 94.9%; negative predictive value, 60.0%; area under the curve, 0.774. Using pseudo-color coding, a right-to-left color jet was observed in 34 patients, and a two-way shunt was found in five. IAS aneurysm and secondary septum thickening were found in five and three patients (11.4% and 6.8%), respectively. The maximum PFO diameters ranged from 1.7 to 16.8 mm, and the mean diameter was 5.4 ± 3.4 mm.Conclusion: The noninvasive CCMRI without contrast proved an excellent method for PFO identification, evaluation, and classification, with high sensibility (92.85%) and concordance (90.9%) compared to cTCD.


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