Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
350
result(s) for
"Visual analytics Evaluation."
Sort by:
User-centered evaluation of visual analytics
\"Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains are struggling to make sense of their data. This book describes the efforts that go into analysis, including critical thinking, sensemaking, and various analytics techniques learned from the intelligence community. Support for these components is needed in order to provide the most utility for the expert users\"--Page 4 of cover.
Book
Lanthanide and functionalization-free dual-state emitting zinc-based MOFs followed by dual-state detection: ratiometric and color-tonality visual detection of tetracycline in solution and on paper in food and environmental samples
An efficient dual-state blue-emitting zinc-based metal–organic frameworks (MOFs), designated as UoZ-8 has been developed. Coordination-induced emission causes the UoZ-8 to give the blue emission in both solid and dispersed form in liquid. Upon the addition of tetracycline (TC), a noticeable shift from blue emission to greenish-yellow emission occurred, with a marked increase in intensity, which was attributed to the inner filter effect accompanied by aggregation-induced emission (IFE-AIE). Consequently, ratiometric-based fluorometry (in solution) and color tonality visual detection platform (on paper) were developed, exploiting the dual-state property of UoZ-8 alone and UoZ-8:TC. The detection limit using the ratiometric-based fluorescence method was 3.8 nM, while on paper it was 3.5 µM. Paper-based visual mode was used for the detection of TC in tap and river water samples showing satisfactory accuracy and precision.
Graphical Abstract
Journal Article
Evaluation Method and the Influence of Visual Comfort of Ceramic Tiles in Indoor Environment—A Study Based on the Delphi and AHP
People spend most of their time indoors, and the visual characteristics of indoor building materials affect not only the quality of the indoor environment, but also the well-being of individuals. Ceramic tiles are widely used in interior decoration of buildings due to their aesthetic appeal and ease of maintenance. However, there is currently a lack of a comprehensive framework for assessing the visual comfort of ceramic tile design. This study established an evaluation system using the Analytic Hierarchy Process (AHP) and the Delphi method to collect perceptual words, extract evaluation indices, and calculate weights. A visual comfort scale for ceramic tiles, comprising three dimensions and twelve indices, was developed. A total of 342 questionnaires were analyzed using six types of tiles, and the multidimensional visual comfort scores of the various ceramic tile samples were statistically examined. An analysis of variance was conducted to investigate the effects of tile brightness, texture, and participant gender on visual comfort. The findings indicate that tile brightness and texture significantly affect the overall visual comfort score (p < 0.001; p < 0.001), with light-toned, non-textured tiles providing higher visual comfort (3.949). Although gender did not significantly affect the overall visual comfort scores, it did influence the evaluation scores in certain dimensions. Men rated the aesthetic comfort of tiles lower than women (p = 0.035), but they rated the emotional comfort of medium-toned and non-textured tiles higher (p = 0.003; p = 0.017). In terms of theoretical significance, the establishment of this evaluation model can expand the research content and methods of ceramic tiles, which are crucial architectural decoration materials. In terms of practical significance, this study provides an evaluation method and partial evaluation information for designers, enabling them to assess and enhance the visual experience of tiles based on the specific needs of interior spaces and the characteristics of the visual subject.
Journal Article
A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding
The multilevel image thresholding is one of the important steps in multimedia tools to understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite new in the thresholding application. However, the 1-D Masi entropy-based image thresholding fails to consider the contextual information. To address this problem, we propose a 2-D Masi entropy-based multilevel image thresholding by utilizing a 2-D histogram, which ensures the contextual information during the thresholding process. The computational complexity in multilevel thresholding increases due to the exhaustive search process, which can be reduced by a nature-inspired optimizer. In this work, we propose a leader Harris hawks optimization (LHHO) for multilevel image thresholding, to enhance the exploration capability of Harris hawks optimization (HHO). The increased exploration can be achieved by an adaptive perching during the exploration phase together with a leader-based mutation-selection during each generation of Harris hawks. The performance of LHHO is evaluated using the standard classical 23 benchmark functions and found better than HHO. The LHHO is employed to obtain optimal threshold values using 2-D Masi entropy-based multilevel thresholding objective function. For the experiments, 500 images from the Berkeley segmentation dataset (BSDS 500) are considered. A comparative study on state-of-the-art algorithm-based thresholding methods, using segmentation metrics such as – peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the feature similarity index (FSIM), is performed. The experimental results reveal a remarkable difference in the thresholding performance. For instance, the average PSNR values (computed over 500 images) for the level 5 are increased by 2% to 4% in case of 2-D Masi entropy over 1-D Masi entropy.
Journal Article
Three in one: coordination-induced emission for inherent fluorescent Al-MOF synthesis combined with inner filter effect@aggregation-induced emission mechanisms for designing color tonality and ratiometric sensing platforms
Three phenomena, namely coordination-induced emission (CIE), aggregation-induced emission (AIE), and inner filter effect (IFE), were incorporated into the design of a ratiometric and color tonality-based biosensor. Blue fluorescent Al-based metal–organic frameworks (FMIL-96) were prepared from non-emissive ligand and aluminum ions via CIE. Interestingly, the addition of tetracycline (TC) led to ratiometric detection and color tonality, as the blue emission at 380 nm was quenched (when excited at 350 nm) due to IFE, while the green-yellowish emission at 525 nm was enhanced due to AIE. Based on that, an ultra-sensitive visual-based color tonality mode with smartphone assistance was developed for detection of TC. The sensor exhibited a linear relationship within a broad range of 2.0 to 85.0 μM TC with a detection limit of 68.0 nM. TC in milk samples was quantified with high accuracy and precision. This integration of smartphone and visual fluorescence in solution is accurate, reliable, cost-effective, and time-saving, providing an alternative strategy for the semi-quantitative determination of TC on-site.
Graphical Abstract
Journal Article
Dual-state dual emission from precise chemically engineered bi-ligand MOF free from encapsulation and functionalization with self-calibration model for visual detection
Synthesis of dual-state dual emitting metal–organic frameworks (DSDE-MOFs) is uncommon and challenging. Additionally, DSDE-MOFs can fulfil the expanding need for on-site detection due to their stability and self-reference for a variety of non-analyte variables. In the present work, a novel intrinsic DSDE of chemically engineered bi-ligand Eu-based MOF (UoZ-1) was designed. The prepared UoZ-1 spherical particles were small-sized around 10–12 nm and displayed blue (425 nm) and red fluorescence (620 nm) at both states, dispersed in liquid and in solid state, when excited at 250 nm. A ratiometry platform was developed since the red emission was quenched by the addition of folic acid and the blue emission was almost remained unaffected. In the fluorometric ratiometric-mode, a dynamic linear range was recorded from 10 to 200 µM with LOD about 0.4 µM. Visual-based detection with assistance of smartphone was developed for quantification based on RGB analysis using Color Grab App. In the visual-mode, LOD as small as 2.3 µM was recorded. By utilizing the intrinsic dual-emitting UoZ-1, highly stable, recyclable, sensitive, and selective on-site visual detection of folic acid can be achieved. UoZ-1, a DSDE-MOF with no encapsulation or functionalization requirements, exhibits great potential for diverse applications.
Graphical abstract
Journal Article
Distance-based paper analytical devices integrated with molecular imprinted polymers for Escherichia coli quantification
The development of distance-based paper analytical devices (dPADs) integrated with molecularly imprinted polymers (MIPs) to monitor
Escherichia coli
(
E. coli
) levels in food samples is presented. The fluidic workflow on the device is controlled using a designed hydrophilic bridge valve. Dopamine serves as a monomer for the formation of the
E. coli
–selective MIP layer on the dPADs. The detection principle relies on the inhibition of the
E. coli
toward copper (II) (Cu
2+
)-triggered oxidation of o-phenylenediamine (OPD) on the paper substrate. Quantitative detection is simply determined through visual observation of the residual yellow color of the OPD in the detection zone, which is proportional to
E. coli
concentration. The sensing exhibits a linear range from 25.0 to 1200.0 CFU mL
−1
(
R
2
= 0.9992) and a detection limit (LOD) of 25.0 CFU mL
−1
for
E. coli
detection. Additionally, the technique is highly selective with no interference even from the molecules that have shown to react with OPD to form oxidized OPD. The developed device demonstrates accuracy and precision for
E. coli
quantification in food samples with recovery percentages between 98.3 and 104.7% and the highest relative standard deviation (RSD) of 4.55%.
T
-test validation shows no significant difference in
E. coli
concentration measured between our method and a commercial assay. The proposed dPAD sensor has the potential for selective and affordable
E. coli
determination in food samples without requiring sample preparation. Furthermore, this strategy can be extended to monitor other molecules for which MIP can be developed and integrated into paper-microfluidic platform.
Graphical Abstract
Journal Article
Parallel Chords: an audio-visual analytics design for parallel coordinates
One of the commonly used visualization techniques for multivariate data is the parallel coordinates plot. It provides users with a visual overview of multivariate data and the possibility to interactively explore it. While pattern recognition is a strength of the human visual system, it is also a strength of the auditory system. Inspired by the integration of the visual and auditory perception in everyday life, we introduce an audio-visual analytics design named Parallel Chords combining both visual and auditory displays. Parallel Chords lets users explore multivariate data using both visualization and sonification through the interaction with the axes of a parallel coordinates plot. To illustrate the potential of the design, we present (1) prototypical data patterns where the sonification helps with the identification of correlations, clusters, and outliers, (2) a usage scenario showing the sonification of data from non-adjacent axes, and (3) a controlled experiment on the sensitivity thresholds of participants when distinguishing the strength of correlations. During this controlled experiment, 35 participants used three different display types, the visualization, the sonification, and the combination of these, to identify the strongest out of three correlations. The results show that all three display types enabled the participants to identify the strongest correlation — with visualization resulting in the best sensitivity. The sonification resulted in sensitivities that were independent from the type of displayed correlation, and the combination resulted in increased enjoyability during usage.
Journal Article
Colorimetric and fluorometric dual-channel ratiometric determination of fungicide cymoxanil based on analyte-induced aggregation of silver nanoparticles and dually emitting carbon dots
A dual-channel ratiometric method is presented for improved colorimetric and fluorometric visualization of the fungicide cymoxanil (CYM). It is based on the use of a mixture of dually emitting carbon dots (CDs) and citrate-stabilized silver nanoparticles (AgNPs). The CDs, under photoexcitation at 350 nm, display dual (blue and green) fluorescence, with peaks at 435 and 520 nm. In mixed aqueous suspension of CDs and AgNPs, the intensity of blue fluorescence of CDs is reduced due to internal filter effect (IFE). This is due to the spectral overlap between the emission of CDs and the absorption of yellow AgNPs. After the addition of CYM to the mixture, CYM triggers the aggregation of AgNPs due to electrostatic attraction and hydrogen bonding interactions. The aggregated AgNPs have an orange color with an absorption whose maximum is shifted to around 510 nm. Hence, it overlaps the green emission of CDs. This causes an IFE on the green fluorescence, while the blue fluorescence is recovered. The colorimetric is performed by ratioing the absorbances at 515 and 390 nm. The ratiometric fluorometric assay is based on ratioing the emissions at 435 and 520 nm. The assay has a wide detection range (0.01–0.55 μΜ) and a low limit of detection (2 nM at S/
N
= 3). The assay was applied to the determination of CYM in spiked real samples (natural river water, soil and plant epidermis). Recoveries ranged between 97 and 105%. The method enables assays to perform on-site and visual detection by observing fluorescence color shades in either aqueous solutions and on wetted filter paper strips.
Graphical abstract
Schematic representation of a dual (colorimetric and fluorometric) ratiometric assay for the fungicide cymoxanil (CYM). The method is based on CYM-induced aggregation of silver nanoparticles (AgNPs) and an internal filter effect which induces fluorescence (FL) changes of dually emitting carbon dots (CDs).
Journal Article
A Hybrid Quantitative Method for Evaluating HMI Layout Design in Service Robots
Evaluating the human–machine interface (HMI) of service robots remains challenging due to the complex integration of perceptual aesthetics and functional rationality. To address this, we propose a hybrid multidimensional HMI evaluation method that quantifies three key dimensions—layout aesthetics, color aesthetics, and functional layout rationality—by integrating visual cognition theory and axiomatic design (AD). The framework operationalizes five layout principles (balance, proportion, unity, regularity, density) and a four-component color model (color difference, distribution, harmony, and personality), complemented by a biologically grounded metric—visual perceptual intensity (VPI)—derived from cone cell response theory. Subjective weights from expert judgments (via analytic hierarchy process, AHP) and objective weights from the entropy weighting method (EWM) are fused within an AD-based information axiom framework to enable balanced, data-driven assessment. Applied to five candidate HMIs for a medical service robot (N = 15 participants), the method identified the design scheme x [sub.3] as optimal when the balancing coefficient α ≥ 0.5 (reflecting greater emphasis on subjective judgment), whereas design scheme x [sub.2] was preferred when α < 0.5 (prioritizing objective data). Given the modest sample size, correlation analysis revealed moderate-to-large—though not reaching conventional significance—between evaluation indicator scores and eye-tracking behavior: unity correlated with total fixation duration (Pearson_r = 0.682), and color harmony with first fixation duration (Pearson_r = 0.788), suggesting alignment between design attributes and visual attention patterns. These preliminary findings suggest that key design attributes may influence visual attention patterns, supporting the framework’s potential to link aesthetic and visual choices to measurable perceptual outcomes.
Journal Article