GUI Design Research Articles

A new deep learning-based GUI design and implementation for automatic detection of brain strokes with CT images

A new deep learning-based GUI design and implementation for automatic detection of brain strokes with CT images

Implications for improving evacuation safety in primary school corridors: a video-based analysis on evacuees’ speed and density

PurposeThis study aims to enhance evacuation safety and efficiency measures in primary school corridors by considering the impact of adult guidance and evacuation graphical signs on evacuation speed and density by considering different visibility conditions and corridor design.Design/methodology/approachThe experiment setup involved ten carefully designed drills exploring the evacuation behavior of 6–7-year-old students in a primary school, varying factors such as adult guidance, smoke conditions and graphical evacuation signs. Kinovea software was employed for data extraction to transform video footage into frames, facilitating meticulous manual tallies of children’s movements in designated sub-areas during the drills. The research utilized statistical tests, a generalized linear model and curve-fitting techniques to analyze the extracted data.FindingsThe findings highlight the vital role of adult guidance in expediting evacuations, emphasizing the importance of trained personnel during emergencies. Additionally, graphical evacuation signs were identified as powerful tools for enhancing evacuation speed during low visibility, as they provide clear visual cues to guide evacuees effectively. Signage and adult guidance are beneficial when the classrooms’ gates opening to the passage are far from each other. In contrast, in areas with close and multiple exits, guidance strategies, especially those involving adults, are more effective in reducing population density during evacuations.Originality/valueThese findings have practical implications for improving emergency preparedness, guiding the design of primary school corridors and informing evacuation protocols. School administrators, architects and emergency planners can utilize these findings to inform the development of safety protocols, enhance evacuation guidance strategies and improve the design of primary school corridors. Further research can expand on these findings by exploring their applicability in diverse educational settings and evaluating the real-world implementation of evacuation measures.

The Subscription Management System

Subscription-based membership systems have become increasingly popular for digital services like Spotify, Prime Video, and YouTube. This project explores the development of a subscription management system using JavaFX, focusing on creating an intuitive user interface and efficient backend integration. The system supports functionalities such as user registration, subscription management, and payment processing, offering a seamless experience for both administrators and users. This study addresses key aspects such as GUI design, security challenges, performance optimization, and integration of RESTful APIs for backend communication. The implementation aims to provide a scalable, secure, and user-friendly solution for managing various subscription models. Additionally, this research compares different subscription models to optimize user engagement and retention. Advanced features like automated billing, personalized recommendations, and analytical insights are integrated to enhance the overall user experience. The study also highlights best practices for integrating third-party payment gateways and managing user data securely. The results demonstrate the system’s ability to handle a large user base effectively while maintaining high performance and security standards. Future work will explore the integration of machine learning techniques to predict user preferences and improve personalization further

Innovating Education Online Crafting Dynamic Learning Environments

Web-based learning environments have changed the traditional way of teaching to be more interactive and adaptive. However, there are challenges in making e-learning designs effective, aesthetically appealing and easy to use, and capable of improving learning outcomes and changing learning behaviors. This study investigates the influence of web-based learning environments on STEM education, focusing on the aesthetic appeal, user-friendliness and appropriateness of the visual design of mobile websites. The research objective is to evaluate the effectiveness of e-learning designs that include the incorporation of creativity, structured approaches, and evidence-based practices to improve learning outcomes and change learning behaviors. The research methodology involved literature analysis, content organization, and integration of interactive instructional design and multimedia elements. Merrill's Principles of First Instruction and the SAM Model were used as the basis of learning theory. Evaluation was conducted on modularity, scalability, codebase security, and user experience through navigation, intuitiveness, accessibility, and overall user happiness. The GUI design is accessible via PC/Laptop and Android and iOS-based mobile devices. The results show that comprehensive instructional design and the use of multimedia learning can improve learning outcomes. The integration of multimedia content such as videos, images, and interactive simulations within the web learning environment can increase engagement and facilitate effective learning. media experts and programming experts evaluated the visual and technical aspects of the website, providing recommendations to improve usability and performance. users also evaluate the website's ability to facilitate stem learning and report usability issues that could be improved. regular performance monitoring and testing, along with implementing best practices, can improve website quality and performance. fixing usability issues and improving website performance will provide a better learning experience for users.

Optimal Design Alternatives of Guide Signs for Expressway Segments with Consecutive Dense Exits

Optimal Design Alternatives of Guide Signs for Expressway Segments with Consecutive Dense Exits

An interpretable metric of visual aesthetics for GUI design

ABSTRACT Computation-based aesthetics metrics have been developed to help designers predict visual aesthetics scores for GUI design. However, designers find these evaluative scores difficult to understand. This paper proposed an interpretable aesthetics metric for GUI design that integrates visual aesthetics (visual similarity and spatial proximity) and GUI structure (semantic similarity and white space) to model visual grouping distribution. Two experiments were conducted to validate the metric’s ability to predict aesthetics and interpret outputs. Experiment 1 showed that our metric had a stronger correlation with users’ impressions of GUI visual aesthetics than past metrics. Experiment 2 suggested that our metric was easier to interpret and appeared more useful to Visual/Graphic/GUI designers than a conventional score-based alternative, by visualising the metric outputs as an experimental tool. Furthermore, this paper provided five potential insights to further advance computational aesthetics research.

Analysis Of Ramp Needs On The Citanduy River, District Pangandaran West Java Province

The Citanduy River is a shipping channel with a channel length of 110 miles that serves the Kalipucang - Majingklak Route in Pangandaran Regency, West Java with river sign facilities that do not comply with applicable regulations. The aim of this research is to determine the need for river signs and to evaluate existing river signs. The research and analysis method used is a field survey method, then descriptive qualitative and quantitative analysis is carried out in accordance with the Regulation of the Director General of Land Transportation Number: KP. 4755 / AP005 / DRJD / 2020 Concerning Technical Guidelines for River and Lake Signs. The results of this research are that shipping traffic conditions in Majingklak are irregular, even though there are only 3-4 river transportation vessels operating every day, there are 33 private and fishing vessels that traffic in the channel area. The irregularities are caused by the lack of river signs as a means of regulating traffic to create safety, security, order and smooth ship traffic. Conditions in the field are that the number of signs installed is 3 units. The total need for Citanduy river signs is 19 units of Guidance signs with details of D.4 as 3 units, D.22 as many as 3 units, D.21 as many as 2 units, D.23 as many as 4 units, D.24 as many as 4 units, D.6 2 units, D.7 1 unit.

Construction and application of a simulation optimization model of auxiliary guidance signs in enclosed public places

Many enclosed public spaces with multiple destinations often feature obstacles, such as columns within the building space and dense crowds, which adversely affect the recognition and guidance of pedestrian sign. To mitigate this issue, enhancing traffic efficiency necessitates the implementation of auxiliary guidance signs. However, experience-based schemes for positioning these signs often require iterative adjustments to achieve the desired effect. Thus, this paper endeavors to address this challenge by analyzing the relationship between obstacles and pedestrians’ visual blind areas. It establishes a mathematical model to describe pedestrian visual perception and its correlation with crowd density and individual visual field function. The model employs the effective aggregation area of the population exceeding a certain density threshold as its primary variable and enhances this variable’s function. Subsequently, it formulates an effect function that yields a substantial improvement in various combinations and permutations of auxiliary guidance signs. To exemplify this research, a large subway transfer hall with multiple destinations serves as a simulation model. The study calculates the optimal combination of auxiliary guidance sign placements that align with the enhancement effect function. Based on this combination, an optimized layout plan is derived, resulting in a significant improvement. The results demonstrate that the auxiliary guidance sign layout scheme proposed in this study markedly enhances traffic efficiency in enclosed public spaces. This research serves as a valuable reference for decision-makers seeking to optimize traffic flow in such spaces.

Analisis Efisiensi pada Lampu Movement Area Guidance Sign (MAGS) di Bandar Udara Internasional I Gusti Ngurah Rai - Bali

The Movement Area Guidance Sign (MAGS) is a sign to provide information to the pilot in directing the movement of the aircraft during take-off, landing and taxiing (the road to the apron) efficiently and safely whose electrical power is supplied by a Constant Current Regulator (CCR). where the supply has a constant current and the network system is installed in series so that each lamp has the same brightness intensity. Bali's I Gusti Ngurah Rai International Airport is equipped with an Airfield Lightning System facility, a visual landing aid, one of which is the Movement Area Guidance Sign (MAGS) or better known as the Taxiway Guidance Sign. The MAGS lights at I Gusti Ngurah Rai International Airport Bali have 2 types of lights used, namely, 33 fluorescent type lights and 6 LED type boxes so that the total number of MAGS lights at the airport is 39 MAGS boxes. This research uses this type of research. qualitatively so that the analysis and calculation results show that LED lights are 57.94% more efficient than fluorescent TL lights at MAGS International Airport I Gusti Ngurah Rai. This is caused by the amount of power used by the lamp. In terms of quality, you may get more bang for your buck than your initial investment in MAGS LED lights. This is because LED lamps have a lifespan 3 times longer than fluorescent lamps and are brighter.

Developing Character Height Model for Tibetan–Chinese Bilingual Guide Signs Using Driving Simulation

Developing Character Height Model for Tibetan–Chinese Bilingual Guide Signs Using Driving Simulation

A study on the attention of people with low vision to accessibility guidance signs

A study on the attention of people with low vision to accessibility guidance signs

Optimization Method of Subway Station Guide Sign Based on Pedestrian Walking Behavior

The appropriate distribution of the guide signs in subway stations can allow passengers to obtain direction and wayfinding information quickly and accurately. The existing setting methods of subway station guide signs mainly consider the locations of facilities and pedestrian flowlines in the station. Therefore, this research proposes an optimization method based on pedestrian walking behavior to set guide signs more realistically and increase the guidance efficiency of signs. Firstly, through on-site investigation, this research analyzed the walking behavior characteristics of pedestrians and measured the average speed of pedestrians in different spaces to quantify the walking characteristics. Then, the guidance level of guide signs was defined to describe the guide ability of each sign and was the basis for determining the distribution of the guide signs. The constraint of the distance between two adjacent guide signs was added according to the short-term memory of pedestrian walking identification. Moreover, the variable of the number of floors between the two adjacent signs was added to avoid calculating floor-by-floor. Finally, Xi’an Xiaozhai Station was selected as an example to verify the proposed optimization method using the AnyLogic 8.7.6. The results show that the guide sign optimization method based on pedestrian walking behavior proposed in this paper can obtain an accurate distribution of guide signs, which can decrease the outbound time by 18.51s at the most, and the thickness at the bottleneck decreases by 5.90%.

Individual Behavior and Attention Distribution during Wayfinding for Emergency Shelter: An Eye-Tracking Study

A fast evacuation from buildings to emergency shelters is necessary and important after the occurrence of a disaster. We investigated the variations in physical behaviors and cognition processes while finding emergency shelter. The on-site emergency-shelter-finding experiments were conducted in Beijing, China. Participants performed the task by using a wearable eye-tracking device. We aimed to assess three eye metrics: fixation counts, mean fixation duration, and visual attention index, to perform cognitive searching analysis for the environmental elements. The results showed that most people spend more fixation time on digital maps (297.77 ± 195.90 ms) and road conditions (239.43 ± 114.91 ms) than signs (150.90 ± 81.70 ms), buildings (153.44 ± 41.15 ms), and plants (170.11 ± 47.60 ms). Furthermore, most participants exhibit hesitation and retracing behaviors throughout the wayfinding process. The participants with relatively rich disaster experience and a proactive personality exhibit better performance in the shelter-finding task, such as a shorter retracing distance (p = 0.007) and nearer destination (p = 0.037). Eye metrics, together with the questionnaire, can mirror the complexity and heterogeneity of evacuation behavior during emergency shelter-finding. In addition, this also provides insights for the optimization of guidance sign systems and improvements in emergency management.

VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines

Visual Graph Query Interfaces (VQIs) empower non-programmers to query graph data by constructing visual queries intuitively. Devising efficient technologies in Graph Query Engines (GQEs) for interactive search and exploration has also been studied for years. However, these two vibrant scientific fields are traditionally independent of each other, causing a vast barrier for users who wish to explore the full-stack operations of graph querying. In this demonstration, we propose a novel VQI system built upon Neo4j called VisualNeo that facilities an efficient subgraph query in large graph databases. VisualNeo inherits several advanced features from recent advanced VQIs, which include the data-driven gui design and canned pattern generation. Additionally, it embodies a database manager module in order that users can connect to generic Neo4j databases. It performs query processing through the Neo4j driver and provides an aesthetic query result exploration.

Study of Customer Service Satisfaction Survey and Influencing Factors in Hospital Health Management Centers

To provide a basis for improving service quality by conducting a satisfaction survey on medical checkups. Methods 160 examinees were randomly selected from the health management center of a general hospital in Baise, Guangxi, China, in May-June 2023, and the survey was conducted by distributing questionnaires (paper questionnaires and electronic questionnaires). Results 153 questionnaires were validly recovered, with a questionnaire recovery rate of 99.5%; 44.4% were male, 55.6% were female, The age group of 18-30 accounted for 49.02%, and those with a college degree or above accounted for 77.13%. The satisfaction with the physical examination environment of the health management center, the professional level of medical staff, center guidance signs, physical examination equipment, follow-up services, and appointment services has reached more than 94%. Among them, the three items of physical examination equipment, guiding signs and physical examination environment have the lowest customer satisfaction. Customers think that the waiting time for medical examination appointment is long accounting for 41.83%, and the total waiting time for medical examination is 1-2 hours accounting for 52.29%. Conclusion It is found that the hospital has problems such as poor experience of physical examination equipment, vague physical examination guidance signs, too noisy physical examination environment, and long waiting time for physical examination in the physical examination center. In response to these problems, suggestions were made to create a good physical examination environment, optimize the physical examination procedure to increase the service window, and carry out humanistic personalized and detailed services.

Application of a Pre-examination and Triage of Children in Fever Clinics to Prevent and Control the Epidemic of Infectious Diseases

Background: The global spread of coronavirus disease 2019 (COVID-19) has reached pandemic proportions. Attempts to control its spread have included a range of early screening and triage measures developed in several nations and areas. Objectives: This study aimed to determine how to prioritize pediatric fever patients to limit the time they had to wait for a consultation and, therefore, the potential of worsening and crises under the burden of COVID-19. Methods: The triage and emergency care process of children in the Fever Clinic of Children’s Hospital of Zhejiang University School of Medicine, Zhejiang, China, within 2019 - 2020 included flow charts, guidance signs, publicity materials, noon and night articulation, and emergency calls. To enhance the management of pre-consultation and triage, the incidence of adverse event injuries was tallied, and satisfaction surveys were conducted. The prevalence of infectious diseases was characterized by demographic and seasonal factors, and the chi-square test was employed to test for differences between groups. Results: From January 2019 to December 2020, four peak periods were observed in each year, namely February, July, September, and December in 2019 and March, June, September, and December in 2020. The peak of common respiratory virus infection was seasonal; however, a significant increase (χ2 = 52.17; P < 0.001) in the case of patients who needed emergency care was observed secondary to fever. The patients within the age range of 1 - 3 years were more in need of emergency care than any other age group (54.70%; 99/181). The most common disease requiring emergency care was febrile convulsions (55.2%). No infectious diseases were missed or underreported during the study period, and no medical personnel was infected. Conclusions: An effective pre-consultation assessment and triage management system and streamlined workflow are of great importance in safeguarding acute patients while preventing infectious diseases.

Application of a Pre-examination and Triage of Children in Fever Clinics to Prevent and Control the Epidemic of Infectious Diseases

Background: The global spread of coronavirus disease 2019 (COVID-19) has reached pandemic proportions. Attempts to control its spread have included a range of early screening and triage measures developed in several nations and areas. Objectives: This study aimed to determine how to prioritize pediatric fever patients to limit the time they had to wait for a consultation and, therefore, the potential of worsening and crises under the burden of COVID-19. Methods: The triage and emergency care process of children in the Fever Clinic of Children’s Hospital of Zhejiang University School of Medicine, Zhejiang, China, within 2019 - 2020 included flow charts, guidance signs, publicity materials, noon and night articulation, and emergency calls. To enhance the management of pre-consultation and triage, the incidence of adverse event injuries was tallied, and satisfaction surveys were conducted. The prevalence of infectious diseases was characterized by demographic and seasonal factors, and the chi-square test was employed to test for differences between groups. Results: From January 2019 to December 2020, four peak periods were observed in each year, namely February, July, September, and December in 2019 and March, June, September, and December in 2020. The peak of common respiratory virus infection was seasonal; however, a significant increase (χ2 = 52.17; P < 0.001) in the case of patients who needed emergency care was observed secondary to fever. The patients within the age range of 1 - 3 years were more in need of emergency care than any other age group (54.70%; 99/181). The most common disease requiring emergency care was febrile convulsions (55.2%). No infectious diseases were missed or underreported during the study period, and no medical personnel was infected. Conclusions: An effective pre-consultation assessment and triage management system and streamlined workflow are of great importance in safeguarding acute patients while preventing infectious diseases.

Bidirectional Object-Oriented Programming: Towards Programmatic and Direct Manipulation of Objects

Many bidirectional programming languages, which are mainly functional and relational, have been designed to support writing programs that run in both forward and backward directions. Nevertheless, there is little study on the bidirectionalization of object-oriented languages that are more popular in practice. This paper presents the first bidirectional object-oriented language that supports programmatic and direct manipulation of objects. Specifically, we carefully extend a core object-oriented language, which has a standard forward evaluation semantics, with backward updating semantics for class inheritance hierarchies and references. We formally prove that the bidirectional evaluation semantics satisfies the round-tripping properties if the output is altered consistently. To validate the utility of our approach, we have developed a tool called BiOOP for generating HTML documents through bidirectional GUI design. We evaluate the expressiveness and effectiveness of BiOOP for HTML webpage development by reproducing ten classic object-oriented applications from a Java Swing tutorial and one large project from GitHub. The experimental results show the response time of direct manipulation programming on object-oriented programs that produce HTML webpages is acceptable for developers.

Empirical analysis of traffic flow characteristics at variable approach lanes

It is interesting that despite its long-term and widespread use in China, relatively little is known about the operational characteristics of a variable approach lane (VAL) in real world. Using one month of inductive-loop detector data at ten dynamic approaches (intersection approaches with dynamic lane assignment) from different intersections in Hangzhou, China, this paper presents the results of a study materializing the flow characteristics of variable approach lanes by comparing them with adjacent normal-flow lanes under various operating conditions. The effectiveness of the results was examined in a case-control analysis by integrating 12 fixed approaches (without variable lane) as benchmark. It was found that the difference or similarity of flow rate between the variable lane and the normally-flowing lane differs under a variety of traffic volume, time-of-day, mode-of-operation, and overhead lane-use guidance sign (OHS) location conditions. The study also revealed that while naturally there may be a difference in the flow rates between referencing lanes at fixed approaches, the flow difference percentage (FDP) at dynamic approaches is significantly higher.

A Metaverse-Based Teaching Building Evacuation Training System With Deep Reinforcement Learning

With the development of IoT, virtual reality, cloud computing, and digital twin technologies, the advent of metaverse has attracted increasing world attention. Metaverse integrates and applies multiple emerging technologies to cloud education, smart health, digital government, and emergency evacuation. Evacuation systems are of great importance to ensure life safety. Due to panic, people in a building may not be able to make the right judgment to choose an optimal path to leave the building in case of an emergency event such as a fire. As a branch of machine learning, deep reinforcement learning (DRL) can model an evacuation scene, collect real-time information, such as crowd distribution and disaster location, find the optimal escape path with a path-planning algorithm, induce the movement state of the crowd through dynamic guidance signs, and improve the evacuation efficiency. In this article, we apply DRL technology to solve the efficient emergency evacuation problem with the help of metaverse and show a training system built upon metaverse that would enable evacuees to choose the most efficient route and leave the building in the least amount of time. The information collected by various sensors, such as video cameras and smoke detectors, can give a whole picture of the status of the building in a real-time manner. The collected data are processed by cloud servers in which a DRL model is trained to dynamically guide evacuees. Experiments in different simulation scenes demonstrate that the proposed method is superior to the traditional static guidance method in saving evacuation time. It can effectively avoid major crowding along the evacuation route and improve evacuation efficiency.