• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.258-268
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• 2021

Online learning systems are becoming an effective educational medium for many universities. The accessibility of online learning system in universities means that every student, including the visually impaired, is able use all the site's services. This research focuses on investigating the accessibility of online learning systems for visually impaired users. The paper purpose is to understand the perception of visually impaired undergraduate students towards Blackboard's accessibility and to make recommendations for a new Blackboard design with accessible features that support their needs. Impact of a new Blackboard design with accessible features on visually impaired students, using Taif University students as a case study is evaluated in this paper, as it is similar to most learning systems used by Saudi universities. A study on Taif University's utilization of Blackboard was conducted using mixed method approaches (an automatic tool and a user study). In the first phase, Taif's use of Blackboard was evaluated by the web accessibility tool called AChecker. In the second phase, we conducted a user study to verify previously discovered accessibility challenges to fully assess them according to the accessibility and usability guidelines. In this study, the accessibility of Taif University's Blackboard was evaluated by thirteen visually impaired undergraduate students. The results of the study show that Blackboard has accessibility issues, which are confusing navigation, incompatibility with assistive technologies, untitled pages or parts, unclear identification for visual elements, and inaccessible PDF files. This paper also introduces a set of recommendations that aim to improve the accessibility of Blackboard and other educational websites developed for this population. It also highlights the serious need for universities to enhance web accessibility for online learning systems for students with disabilities.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.5
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• pp.811-816
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• 2022

Even though continuous management and supervision of reinforcement of policies to safeguard accidents at workplace and work sites were implemented. Accident prevention activities such as inspection and diagnosis are urgently required to induce a preliminary investigation to identify the risk factors for each type of work, before the work task to eliminate risks at the worksites. Since safety inspections at work sites were generally conducted through visual inspections, the results of safety inspections may vary depending on the findings and proficiency of the safety officers. The results of those inspections may have loopholes to prevent potential accidents at work. Therefore, the purpose of this study was to develop a risk identification checklist that can effectively perform safety inspections to prevent accidents at work sites. This study initially analyzed the previously developed accident checklist to identify current complications and issues in safety checklists. Based on the findings of major industrial accidents over the past three years, the relationship between accident, workplace, and work type were analyzed refereeing the safety inspection standards. A risk recognition-checklist was developed to provide basic data on identifying risk factors, and inspection guidance at work sites. To prepare for potential accidents by identifying and taking countermeasures to mitigate the high risk and serious accidents at sites by the guidelines of the checklist. The developed inspection checklist has been practically used by experts at work sites to perform safety inspections, and it has been verified its suitability, and feasibility, to prevent or mitigate workplace accidents, including securing the safety and health of field workers. The role of the developed safety checklist has been considered effective at worksites.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.2
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• pp.67-72
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• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

• Journal of Korean Biological Nursing Science
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• v.25 no.3
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• pp.143-159
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• 2023

Purpose: The purpose of this study was to provide evidence for future research by analyzing the contents, delivery methods, and educational effects of educational programs for hemodialysis patients. Methods: A literature review was conducted in the following order: problem identification, literature search and data collection, data evaluation, data analysis, and data presentation. In total, 936 documents were retrieved from the search, and 24 documents were finally included in this study. Results: The contents of the educational programs were comprehensive hemodialysis-related knowledge education in seven studies, exercise-related education in 10 studies, diet-related education in four studies, drug-related education in one study, and complex education in two studies. The delivery methods were pamphlets in six studies, audio-visual materials in four studies, direct guidance by researchers in six studies, and multiple methods in seven studies. The effects of the educational program were divided into physical indicators, emotional indicators, and knowledge and performance related to hemodialysis. Sixteen out of 20 articles using physical indicators showed significant outcomes, and 10 out of 12 articles using emotional indicators derived positive results. Hemodialysis-related knowledge and performance were measured in eight and 10 studies, respectively, and meaningful results were found in six studies for knowledge and seven studies for performance. Conclusion: Future research will require the development of a systematic and standardized educational program with comprehensive content that can be provided to all hemodialysis patients, as well as a highly accessible education delivery method to enhance the effectiveness of education.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.24-31
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• 2017

As the concept of sustainability becomes more and more popular, a large amount of literature have been recorded recently on intelligent green building and smart city (IGB&SC). It is therefore needed to systematically analyse the existing knowledge structure as well as the future new development of this domain through the identification of the thematic trends, landmark articles, typical keywords together with co-operative researchers. In this paper, Citespace software package is applied to analyse the citation networks and other relevant data of the past eleven years (from 2006 to 2016) collected from Web of Science (WOS). Through this, a series of professional document analysis are conducted, including the production of core authors, the influence made by the most cited authors, keywords extraction and timezone analysis, hot topics of research, highly cited papers and trends with regard to co-citation analysis, etc. As a result, the development track of the IGB&SC domains is revealed and visualized and the following results reached: (i) in the research area of IGB&SC, the most productive researcher is Winters JV and Caragliu A is most influential on the other hand; (ii) different focuses of IGB&SC research have been emerged continually from 2006 to 2016 e.g. smart growth, sustainability, smart city, big data, etc.; (iii) Hollands's work is identified with the most citations and the emerging trends, as revealed from the bursts analysis in document co-citations, can be concluded as smart growth, the assessment of intelligent green building and smart city.

• Korean Journal of Remote Sensing
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• v.40 no.1
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• pp.93-101
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• 2024

Accurate field crop classification is essential for various agricultural applications, yet existing methods face challenges due to diverse crop types and complex field conditions. This study aimed to address these issues by combining support vector machine (SVM) models with multi-seasonal unmanned aerial vehicle (UAV) images, texture information extracted from Gray Level Co-occurrence Matrix (GLCM), and RGB spectral data. Twelve high-resolution UAV image captures spanned March-October 2021, while field surveys on three dates provided ground truth data. We focused on data from August (-A), September (-S), and October (-O) images and trained four support vector classifier (SVC) models (SVC-A, SVC-S, SVC-O, SVC-AS) using visual bands and eight GLCM features. Farm maps provided by the Ministry of Agriculture, Food and Rural Affairs proved efficient for open-field crop identification and served as a reference for accuracy comparison. Our analysis showcased the significant impact of hyperparameter tuning (C and gamma) on SVM model performance, requiring careful optimization for each scenario. Importantly, we identified models exhibiting distinct high-accuracy zones, with SVC-O trained on October data achieving the highest overall and individual crop classification accuracy. This success likely stems from its ability to capture distinct texture information from mature crops.Incorporating GLCM features proved highly effective for all models,significantly boosting classification accuracy.Among these features, homogeneity, entropy, and correlation consistently demonstrated the most impactful contribution. However, balancing accuracy with computational efficiency and feature selection remains crucial for practical application. Performance analysis revealed that SVC-O achieved exceptional results in overall and individual crop classification, while soybeans and rice were consistently classified well by all models. Challenges were encountered with cabbage due to its early growth stage and low field cover density. The study demonstrates the potential of utilizing farm maps and GLCM features in conjunction with SVM models for accurate field crop classification. Careful parameter tuning and model selection based on specific scenarios are key for optimizing performance in real-world applications.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.475-487
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• 2024

As today's "ninth art", role-playing games recognized by most players due to their surreal themes and sustained reflection on social diseases. Through precise control of story-telling and game visuals, players develop an avatar identification during role-playing game. Based on Lacan's mirror stage theory, a new self-identity mechanism is established under the guidance of role-playing games. As a "player", the subject's interpretation of himself is shifted by the game order, and the subject identifies with the role-playing game while at the same time being structured by the desire of role-playing game. The immersive experience and emotional guidance of role-playing games all point to the most instinctive human desires. The psychoanalytic theory from Lacan's perspective explains the source of players' desire, and the expression of players' desire in the game. It also plays an important role in the emotional rendering and identity aspects of role-playing games. This paper is to establish that role-playing games do have an impact on the player's self-identity through a Lacanian psychoanalytic reading of role-playing games.

• Journal of Popular Narrative
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• v.27 no.1
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• pp.265-299
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• 2021

The purpose of this research paper is to facilitate the understanding of the synesthetic aesthetics in the film The Age of Innocence through the intertextuality among the narrative, paintings, and music in the film. In this paper, a two-dimensional intertextual analysis of the paintings in relation to the narrative is conducted on the paintings owned by Old New York, the paintings owned by Ellen, the portraits of unknown artists on the street outside of Parker House, and Rubens' painting at the Louvre. A three-dimensional intertextual analysis of performances in relation to the narrative is conducted on the stages and the box seats at the New York Academy of Music, in which Charles F. Gounod's Faust is performed, and the Wallack's Theatre, in which Dion Boucicault's The Shaughraun is performed. An intertextual analysis of music in relation to the narrative is also conducted on the diegetic and non-diegetic classical music of the film, including Beethoven's Piano Sonata No. 8 and Mendelssohn's String Quintet No. 2, as well as Elmer Bernstein's non-diegetic music of the film. The constituent event of The Age of Innocence represents the passion trapped in the reflection of love and desire that are not lasting, and the supplementary event embodies the narrow viewpoint and the inversion of values caused by the patriarchal authority of Old New York. The characters in the film live a double life, presenting an unaffected surface and concealing the problems behind it. The characters restrain their emotions at both the climax and the ending. The most powerful aspect of the film is the type and nature of oppressive life, which are more delicately described with the help of paintings and music, as there is a limit to describing them only by acting. In intertextual terms, paintings and music in The Age of Innocence continuously emphasize "feeling of emotions that cannot be expressed in language." With a synesthetic image, as if each part were imprinted on the previous part, the continuity "responds to continuous camera movements and montage effects." In The Age of Innocence, erotic dynamism brings dramatic excitement to the highest level, switching between the satisfaction of revealing desire and the disappointment of hiding desire due to its taboo status. This is possible because paintings and music related to the narrative have made aesthetic achievements that overcome the limitations of two-dimensional planes and limited frames. The significance of this study lies in that, since the identification in The Age of Innocence is based on the establishment of a synesthetic aesthetic through audio-visual representation of the film narrative, it helps us to rediscover the possibility of cinematic aesthetics.

• Korean Journal of Cognitive Science
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• v.22 no.4
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• pp.385-404
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• 2011

We examined how emotional background stimuli influence focused attention in a flanker task. An IAPS picture was presented for 1,000ms in advance, then a target and two flanker letters were presented against the IAPS picture for 200ms(Experiment 1). The flanking stimuli were simultaneously presented on the left and right sides of the target stimulus with distance of $0.5^{\circ}C$, $1^{\circ}C$, or $1.5^{\circ}C$ visual angle. We investigated the flanker compatibility effect that identification of target would be faster when they were flanked by identical(compatible) stimuli than when they were flanked by different(incompatible) stimuli. Results of Experiment 1 revealed that the flanker compatibility effect depended not only on the distance of flankers but also on the valence of a background IAPS pictures. Positive and neutral pictures showed distance effect that the flanker compatibility effect was decreased as the farther the distance was, while negative pictures showed no di stance effect. Positive and neutral pictures showed compatibility effects at all distance conditions, but negative pictures didn't showed compatibility effect at $1.5^{\circ}C$ distance condition. In Experiment 2, the SOA(Stimulus Onset Asynchrony) between the picture and the stimuli of flanker task was manipulated. The flanking stimuli were presented simultaneously on the left and right sides of the target stimulus with a distance of either $0.5^{\circ}C$ or $1.5^{\circ}C$ visual angle. The results of Experiment 2 showed that flanker compatibility effect depends on SOA. At long SOA(2800ms), negative pictures showed no distance effect, but positive or neutral pictures did. All valence conditions of background pictures showed compatibility effects at $0.5^{\circ}C$ distance condition, but didn't showed compatibility effect at $1.5^{\circ}C$ distance condition. At short SOA(100ms), all valence conditions of background pictures showed distance effect, and showed compatibility effects with the exception of negative background pictures at $1.5^{\circ}C$ distance condition. These findings suggest that the scope of visual attention becomes narrower when viewing negative emotional stimuli and becomes broadened when viewing positive emotional stimuli. The narrowed scope of attention in negative emotion lasts longer, while the broaden scope of attention in positive emotion lasts shorter.

• Education of Primary School Mathematics
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• v.17 no.2
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• pp.127-157
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• 2014

The purpose of the study is to enhance the figure analysis ability for pre-service elementary teacher by using GSP. To do this, we limited to teaching competence divide into ability various problem-solving, extract key elements, predict the difficulty of student and investigated the initial of them, the reality of GSP construction. As results, pre-service elementary teachers made errors, proposed teaching focused on the character using in the problem solving, and found that in one particular difficulties to find the students. The reality of GSP construction activity was possible to explore through the partially constructed a number of various properties, but we found to have difficulty in the connection between concepts. and integrated view of the problem analysis. After visual identification and exploration through the GSP construction, problem-solving ability became a little more variety and changed their direction in order to focus the student's anticipated difficulties. From these results, we could extract some pedagogical implications helping pre-service teachers to reinforce teaching competence by GSP construction.