Visualization Model Research Articles

Dashboard Model Design for Tuna Fish Processing (PT. XYZ)

The dashboard systems provide visualization model help the management to make decision which shows the data summary in each processing stage and comparison of total result of main product and side product in specific periods of time at fish processors. This research proposes dashboard model to designed in fish processors which huge of complex processing data available and have difficulties to analyze and require some times to process data analytical to display the production result in each processing stage. We design analytical dashboard to show the quantity fish processed and seafood product summary analysis in each processing stage i.e. total weight of receiving, cutting, retouching, packing and shipment. The dashboard system helps the management to make quick decision based on analytical information related to how many fish processed, product result per each processing stage, and also help to compare yield in cutting and retouching process based on type of raw materials (dirty loin and clean loin). This dashboard also displayed details total production and total side product (by-product) i.e. black meat, belly, red meat, and residue. The scope of this research is to display summary analytical data from the periods September until November of 2022. Based on the calculation, the yield of cutting process during the period September to November was 63.7%, while the yield for retouching process was 57.65%. In this research it explained that by-product percentage for dirty loin cutting shows a higher percentage compared to clean loin because the dirty loin has more parts to remove.

Applicability of the Magnetic Resonance Technique during the Gestational Period: a narrative review

Over the last few decades, fetal imaging has led to significant improvements in prenatal counseling and postnatal therapy options, as obstetric MRI examination mainly plays a complementary role to the morphological ultrasound study when there is any diagnostic doubt or even to confirm If there is any abnormal finding in the conventional ultrasound exam. It is worth noting that there is no evidence that MRI causes biological effects in the fetus, the exams should be reserved for patients in the second and third trimester of pregnancy. Here, we performed a literature review to point out the importance of the applicability of gestational Magnetic Resonance for the identification of changes in embryonic development, gestational pathologies, maternal diseases, sequelae of infections, fetal malformations, diagnosis of placental deficiency and creation of three-dimensional prototypes for surgical planning and fetal visualization. From this narrative review it was possible to identify that the applicability of gestational MRI is related to the identification of alterations in embryonic development, gestational pathologies in general, maternal diseases, sequelae of infections, fetal malformations, diagnosis of placental deficiency and creation of prototypes three-dimensional (3D) models for surgical planning and fetal visualization.

Machine-learning–based detection of degenerative temporomandibular joint diseases using lateral cephalograms

Degenerative temporomandibular joint diseases (DJDs) are common diseases in dental practice, characterized by a series of degenerative processes in the temporomandibular joint. Early clinical detection of DJD by dental practitioners can be beneficial to prevent or alleviate the further progression of the disease. This study aimed to develop a cephalogram-based multidimensional nomogram to screen DJD. A total of 502 patients (170 normal and 332 with DJD) were randomly assigned to a training set (n= 351) or a validation set (n= 151). Thirty-six cephalometric parameters were extracted from the cephalograms to be used as input for a predictive machine-learning algorithm. Multivariable logistic regression was used to construct a combined model for visualization in the form of a nomogram. Receiver operating characteristic curve, calibration testing, and decision curve analyses were conducted to evaluate the performance of the combined model. A Ceph score consisting of 22 cephalometric parameters were significantly associated with DJD (P<0.01). A combined model that consisted of Ceph scores and clinical features (including age, gender, limited mouth opening, crepitus, etc.) performed well in the receiver operating characteristic curve (area under the curve, 0.893), calibration test, and decision curve analyses, indicating its potential clinical value. This study constructed and verified a multidimensional nomogram consisting of Ceph scores and clinical features, which may contribute to the clinical screening of DJD in dental practice. Future studies are needed to test the reliability of the model with similar parameters.

91 - Clinical, anatomical, & demographic features associated with the use of patient-specific advanced visualization modeling in cerebrovascular disease

91 - Clinical, anatomical, & demographic features associated with the use of patient-specific advanced visualization modeling in cerebrovascular disease

In Situ All‐Weather Humidity Visualization by Using a Hydrophilic Sponge

AbstractHumidity visualization is of significant importance across both the living systems and the industrial processes, which remains a huge challenge. Herein, for the first time, a hydrophilic sponge, which is composed of rigid gel and super hygroscopic material, has been demonstrated capable of all‐weather humidity visualization in a portable, convenient, economical, and in situ manner. This promising aspect is attributed to the effective all‐weather humidity capture and various color display as a response to the humidity capture capacity, of the super hygroscopic material; as well as the rapid humidity transport and excellent humidity storage ability provided by the porous rigid gel. As a consequence, combined with a smartphone, the invisible information on the environment's relative humidity levels, on the one hand, can be correlated qualitatively with the specific color display of the sponge; on the other hand, it can be correlated quantitatively with the specific color intensity, providing a pretty good smart model for humidity visualization in various complex environments. The present humidity visualization technology may open up a new avenue for the development of novel humidity sensors with a wide range of practical applications.

From linear to a circular economy in the e‐waste management sector: Experience from the transition barriers in the United Kingdom

AbstractE‐waste generation is rising apace, and it is estimated that e‐waste production could reach 74.7 Mt by 2030. Hence, it is essential to develop tactics and methodologies for the formal management and treatment of e‐waste. The implementation of the concepts of a circular economy (CE) has been perceived as an efficient methodology for the efficacious management of such waste; however, the transition process from the linear economy to CE still involves several barriers. There are only a few studies that have integrated the concept of CE with e‐waste management for sustainability. This study will focus on the UK's household e‐waste management sector to identify and analyze the key barriers that impede the transition of the UK's e‐waste management sector to the CE model. For this purpose, a team of experts was formulated and their expertise was captured using the Decision‐making trial and evaluation laboratory (DEMATEL) methodology. The DEMATEL technique employs critical evaluation principles, measures the weights of the evaluation criteria, and helps in finding the most critical barriers through a visual structural model. The DEMATEL method also categorizes the factors into cause‐and‐effect groups and utilizes a visualization model to simplify the interdependence and intensity of the impacts of the various factors. The results revealed that the “Lack of processing technologies,” “Lack of returns and profits,” “Lack of expert knowledge,” “Lack of effective guidance and standards for the proper collection methods,” and “Lack of proper knowledge” are the most significant barriers obstructing the adoption of CE in the management of e‐waste in the United Kingdom. Thus, the government needs to take strong actions to give financial support in terms of incentives to the stakeholders for effective e‐waste handling.

Variation in morpho-lexical development within and between diagnoses in children with neurodevelopmental disorders.

While primary diagnosis is only one aspect of the presentation of a child with neurodevelopmental delay/disorder, the degree to which early expressive language reflects diagnostic divisions must be understood in order to reduce the risk of obscuring clinically important differences and similarities across diagnoses. We present original data from the New Zealand MacArthur-Bates Communicative Development Inventory (NZCDI) from 88 English-speaking children aged 2;6 to 5;6 years receiving multidisciplinary intervention within a single family-centered program. The children had one of six pediatrician-assigned genetic or behaviorally determined diagnoses: Down syndrome (DS); motor disorders (cerebral palsy and developmental coordination disorder); global development delay; disorders of relating and communicating (R&C); other genetically defined diagnoses; or language delay due to premature (PREM) birth. Morphological and lexical development were compared within and across diagnostic groups, using both data visualization and mixed-effects modeling. Groups varied in the amount of variation within and between them, but only prematurity reached significance, in interaction with age, as a predictor of morpho-lexical scores. Further analysis of longitudinal data available from a subset of the sample (n = 62) suggested that individual trajectories of vocabulary growth could not be reliably predicted by diagnosis. Moreover, the distribution of word types (nouns, predicates, etc.) only distinguished PREM children with language delay from those with DS and those in the R&C group. There were strong similarities in early morpho-lexical development across these clinical populations, with some differences. These findings align with research and clinical approaches which accommodate individual variation within diagnosis, and broad similarities across diagnostic groups.

Metaverse Inspired VR Visualization Model of Italian Design Education

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

Mental Modeling of Entrepreneurial Opportunity Based on the Principle of Information Visualization

What arouses entrepreneurial action? The role of entrepreneurial opportunities in stimulating entrepreneurial action under uncertainty is a subject of intense scholarly debate. This article engages in a crucial theoretical exploration to extend the boundaries of opportunity by reframing it as an artifact. Reframing the opportunity as an artifact (crystallized information) shifts the dialogue and perspectives. Through information visualization and mental modeling approaches, information is aggregated, integrated, and configured to generate an experience that triggers actions. The interaction, transformation, and representation of information are intended to reduce uncertainty and guide entrepreneurial enactment. This article presents an integrated information processing model showing how information excites, instigates, and motivates enactment. This contextualization aims to develop a descriptively accurate and prescriptively useful concept of opportunity as an artifact. Theoretically, analytically, and conceptually, the focus on information as the fundamental unit of analysis shifts the discussion by featuring inward to move the scholarly debate on opportunity forward. This re-pivoting can avoid the calls for abandonment and debunking of the opportunity construct.

Research on the Spatial Perception of Stakeholders in Brownfield Redevelopment Based on Value Compatibility Analysis

Under the current urban renewal background, the subjective attitude of stakeholders directly affects the feasibility of planning projects in the development or protection activities related to brownfield redevelopment. It is key that the public effectively participates in planning and decision-making to explore the suitable expression method of public attitude. In this paper, Jigang, Jinan, Shandong Province is taken as an example. By using participatory mapping and semi-structural interviews, the landscape perceived value of 365 (342 valid) stakeholders in the original site of Jigang is investigated. By using hot spot analysis, correspondence analysis and compatibility index analysis, the spatial composition of public perceived landscape value, the correspondence between landscape value and land use and its compatibility with existing conservation and renewal schemes are revealed. On this basis, three types of brownfield land redevelopment attitude areas are identified. The results show that: 1. The attitude of Jinan Iron and Steel Group’s renewal based on the degree of compatibility is location-dependent, and the spatial difference analysis of this attitude provides more detailed data support for the protection and renewal design, planning management and conflict control; 2. The landscape perceived value of case stakeholders has regularity in spatial distribution and is related to a certain material landscape foundation (land use), which is beneficial in explaining the possible social phenomena caused by landscape change; 3. Participatory cartography combined with landscape value investigation provides an effective method for the study of perceived landscape. Through cartographic visualization, statistical analysis and index model construction, the spatial structure characteristics of perceived landscape value can be revealed. It can provide effective decision support for brownfield urban renewal projects, solve the problem that the current upper-level planning of such renewal is not matched with the actual demand, and improve the vitality of brownfield sites in the development area.

A Brief Note on Building Augmented Reality Models for Scientific Visualization.

Augmented reality (AR) has revolutionized the video game industry by providing interactive, three-dimensional visualization. Interestingly, AR technology has only been sparsely used in scientific visualization. This is, at least in part, due to the significant technical challenges previously associated with creating and accessing such models. To ease access to AR for the scientific community, we introduce a novel visualization pipeline with which they can create and render AR models. We demonstrate our pipeline by means of finite element results, but note that our pipeline is generally applicable to data that may be represented through meshed surfaces. Specifically, we use two open-source software packages, ParaView and Blender. The models are then rendered through the <model-viewer> platform, which we access through Android and iOS smartphones. To demonstrate our pipeline, we build AR models from static and time-series results of finite element simulations discretized with continuum, shell, and beam elements. Moreover, we openly provide python scripts to automate this process. Thus, others may use our framework to create and render AR models for their own research and teaching activities.

Computer model for acquisition, processing, analysis and visualization of measurement data by electrical impedance tomography

In this article, a computer model for the collection, processing, analysis and visualization of measurement data by the method of electrical impedance tomography has been developed. The essence of the work performed is to build a computer model of the phantom, electrodes, conductive medium and inhomogeneities in the COMSOL Multiphysics environment to study the conductivity of objects in order to reduce the error in determining the size of the inhomogeneity in the reconstructed image. The study is performed by placing an inhomogeneity phantom in the conductive region. Based on the data obtained, a matrix of potential differences is constructed using the “near neighbor” algorithm. On its basis, in the GNU Octave environment, using the EIDORS package, a reconstruction of the conducted studies is obtained. With the help of the developed software that implements the method and algorithm for refining the boundaries, filtered images of reconstructions of the results of the studies are obtained. The use of this algorithm makes it possible to reduce the measurement error by a factor of 1.44.

Guest Editorial: 28th International Meshing Roundtable Special Issue: Mesh Modeling for Simulations and Visualization

Guest Editorial: 28th International Meshing Roundtable Special Issue: Mesh Modeling for Simulations and Visualization

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Recently, large pretrained language models have achieved compelling performance on commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the models learn and whether they solely exploit spurious patterns. Feature attributions are popular explainability techniques that identify important input concepts for model outputs. However, commonsense knowledge tends to be implicit and rarely explicitly presented in inputs. These methods cannot infer models' implicit reasoning over mentioned concepts. We present CommonsenseVIS, a visual explanatory system that utilizes external commonsense knowledge bases to contextualize model behavior for commonsense question-answering. Specifically, we extract relevant commonsense knowledge in inputs as references to align model behavior with human knowledge. Our system features multi-level visualization and interactive model probing and editing for different concepts and their underlying relations. Through a user study, we show that CommonsenseVIS helps NLP experts conduct a systematic and scalable visual analysis of models' relational reasoning over concepts in different situations.

OPTIMIZATION OF QUANTITATIVE RESEARCH METHODS IN SOCIAL SCIENCES IN THE ERA OF BIG DATA

As information technology continues to advance, the complexity of data is ever-increasing. Traditional quantitative research methods in the social sciences, such as basic visualization and traditional statistical models, are gradually becoming inadequate in meeting the demands of modern data analysis. Despite the challenges that big data presents, it also brings new opportunities – through its usage, the optimization of traditional methods can be achieved. More intricate graphing techniques such as mosaic plots, alluvial plots, slope charts, and area charts, alongside machine learning algorithms that are better adapted for big data analysis such as decision trees, random forests, and K-Means algorithm, are opening new avenues for quantitative analysis in social sciences. This will ultimately foster further development of the field by allowing new methods and ideas to emerge.

Brain-inspired Artificial Intelligence and Machine Learning-based Navigation Algorithms, Spatial Data Visualization and Digital Twin Modeling tools, and Emotion Detection and Recognition Technologies in the Decentralized and Interconnected Metaverse

Brain-inspired Artificial Intelligence and Machine Learning-based Navigation Algorithms, Spatial Data Visualization and Digital Twin Modeling tools, and Emotion Detection and Recognition Technologies in the Decentralized and Interconnected Metaverse

Single-Subject TMS Pulse Visualization on MRI-Based Brain Model: A precise method for mapping TMS pulses on cortical surface

Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data.•This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software.•A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse.•The Python script can be easily customized to visualize TMS points task-specifically.

Funerary Art of Ptolemaic Alexandria as a Model for an Early Christian Iconographic Cliché

The subject of the study – the phenomenon of cultural appropriation of Ancient pagan iconography by Early Christian art – is approached through the funerary art of Ptolemaic Egypt. The study aims at tracing back the origin of an important Early Christian scene – Jonah under the Gourd Vine – by methods of semiotic analysis and historical contextualization. In the 3rd–4th centuries AD it used to be the most popular Biblical subject throughout the Roman Empire. Some scholars argue that a mythological scene of Endimion’s dream, often carved on Late Antique sarcophagi, served as a model for visualization of the story of the prophet. However, this hypothesis does not explain the origin of the gourd vine motif, which is yet another iconographic sine qua non detail of the Jonah resting scene. Before the ‘birth’ of Early Christian art the motif had appeared just once – in Wardian necropolis of Alexandria. The gourd was first mentioned in Septuagint – the Greek translation of the Hebrew Bible made by Alexandrian Jews in the 3rd century BC. It substituted another plant originally mentioned in the Hebrew text. Both the Bible translators and Alexandrian painters had been well familiar with the gourd that was seemingly largely cultivated in Alexandrian suburbs. At some point of the city history Alexandrian painters adopted the pagan visual cliché for visualization of the Old Testament episode, and the new iconographic cliché was lately imported by Roman and provincial Christian milieu.

Program Design for Ship Piping Network Visualization Model Based on WPF and C#

Program Design for Ship Piping Network Visualization Model Based on WPF and C#

The exploration and practice of BIM technology in the teaching reform of civil engineering courses in higher vocational colleges

The information wave has promoted social development, but also promoted a lot of technological innovation. BIM technology is based on the development of computer information technology, virtual simulation of the building entity, so that its digital presentation. The three-dimensional visualization model established by BIM technology can comprehensively display the structural requirements, reinforcement configuration and other parameters of building columns, beams, plates, walls and other components in a three-dimensional way. It is convenient to calculate the steel bar and concrete engineering quantity accurately and compile the project valuation documents. This paper takes the course "Measurement and Valuation of Construction Engineering" as an example, with the help of Glodon BIM software to help the teaching, deepen the teaching reform, and provide reference for the peers.