• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.1-6
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• 2021

Recently, pre-trained convolutional neural network CNNs have been widely used and applied for medical image classification. These models can utilised in three different ways, for feature extraction, to use the architecture of the pre-trained model and to train some layers while freezing others. In this study, the ResNet18 pre-trained CNNs model is used for feature extraction, followed by the support vector machine for multiple classes to classify medical images from multi-classes, which is used as the main classifier. Our proposed classification method was implemented on Kvasir and PH2 medical image datasets. The overall accuracy was 93.38% and 91.67% for Kvasir and PH2 datasets, respectively. The classification results and performance of our proposed method outperformed some of the related similar methods in this area of study.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.364-373
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• 2022

Image morphing methods make seamless transition changes in the image and mask the meaningful information attached to it. This can be detected by traditional machine learning algorithms and new emerging deep learning algorithms. In this research work, scope of different Hybrid learning approaches having combination of Deep learning and Machine learning are being analyzed with the public dataset CASIA V1.0, CASIA V2.0 and DVMM to find the most efficient algorithm. The simulated results with CNN (Convolution Neural Network), Hybrid approach of CNN along with SVM (Support Vector Machine) and Hybrid approach of CNN along with Random Forest algorithm produced 96.92 %, 95.98 and 99.18 % accuracy respectively with the CASIA V2.0 dataset having 9555 images. The accuracy pattern of applied algorithms changes with CASIA V1.0 data and DVMM data having 1721 and 1845 set of images presenting minimal accuracy with Hybrid approach of CNN and Random Forest algorithm. It is confirmed that the choice of best algorithm to find image forgery depends on input data type. This paper presents the combination of best suited algorithm to detect image morphing with different input datasets.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.225-230
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• 2023

With the development of AI technology, there is a growing discussion about Text-to-Image Generative AI. We presented a Generative AI video production method and delineated a methodology for the production of personalized AI-generated videos with the objective of broadening the landscape of the video domain. And we meticulously examined the procedural steps involved in AI-driven video production and directly implemented a video creation approach utilizing the VQGAN-CLIP model. The outcomes produced by the VQGAN-CLIP model exhibited a relatively moderate resolution and frame rate, and predominantly manifested as abstract images. Such characteristics indicated potential applicability in OTT-based video content or the realm of visual arts. It is anticipated that AI-driven video production techniques will see heightened utilization in forthcoming endeavors.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.33-40
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• 2023

The mainstay of current image recovery frameworks is Content-Based Image Retrieval (CBIR). The most distinctive retrieval method involves the submission of an image query, after which the system extracts visual characteristics such as shape, color, and texture from the images. Most of the techniques use RGB color space to extract and classify images as it is the default color space of the images when those techniques fail to change the color space of the images. To determine the most effective color space for retrieving images, this research discusses the transformation of RGB to different color spaces, feature extraction, and usage of Convolutional Neural Networks for retrieval.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.141-148
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• 2023

During the medical data transmissions, the protection of the patient information is vital. Hence this work proposes a spatial domain watermarking algorithm that enhances the data payload (capacity) while maintaining the authentication and data hiding. The code is distributed at every pixel of the digital image and not only in the regions of non-interest pixels. But the image details are still preserved. The performance of the proposed algorithm is evaluated using several performance measures such as the mean square error (MSE), the mean absolute error (MAE), and the peak signal to noise Ratio (PSNR), the universal image quality index (UIQI) and the structural similarity index (SSIM).

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.438-447
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• 2024

The subjects of this study were college students who participate in Wushu in China. A total of 300 people, 189 male and 111 female, were sampled as research subjects through convenience sampling by sharing the questionnaire link online and sending emails. The research tool used in this study was a questionnaire. Based on the questionnaire that had secured reliability and validity in previous research, it was modified and supplemented to suit this study. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 20.0 Version. First, Wushu image was found to have a partial effect on self-congruity. Second, Wushu image was found to have a partial effect on loyalty. Third, the self-congruity of Wushu participants was found to partially affect loyalty.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.158-168
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• 2024

With Wenhai big data SaaS cloud platform.2.0, this study analyzed data of 135 news reports relating to Chinese city Chongqing from Yonhap News Agency and ten South Korean mainstream newspapers from May 1^st, 2018 to September 30^th, 2022. Under the framework of Frame Theory, this research conducted data mining and analysis on how Korean mainstream media shaped city image of Chongqing, what kind of city images were shaped from dimensions of politics, economy, society, culture & sports as well as tourism and whether they are consistent with those in Chinese media. At the last part, discussions and suggestions was made.

• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.87-99
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• 2024

Purpose: This research examines the elements that affect Chinese tourists' trip experiences and behaviors in Japan and South Korea, focusing on destination image, digital engagement, and sustainability practices awareness. Research design, data and methodology: Data were collected from 414 Chinese tourists through an online survey and analyzed conduct confirmatory factor analysis and structural equation modeling. Findings indicate a positive destination image significantly influences revisit intention but not travel satisfaction. Travel satisfaction positively affects revisit intention, while digital engagement and sustainability practices awareness both enhance travel satisfaction. Results: The results highlight the importance of leveraging digital engagement and promoting sustainability practices to boost satisfaction and repeat visits. Conclusions: The study provides practical insights for tourism stakeholders to develop targeted strategies, emphasizing customer service, sustainable practices.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.1-9
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• 2023

The practical courses are considered as a model for the courses taught by the student of the Department of Physical Education at different levels of study, during which he employs his mental, physical and skill abilities to understand and master the motor skills and develop his physical abilities to be able to master them and later teach and train them, so this study was conducted with the aim of identifying the perceived mental image For the practical courses of the students of the Department of Physical Education at Umm Al-Qura University, by designing a scale for the perceived mental image of the practical courses, and identifying the percentages and the extent of their prevalence for each of the positive mental image, the nonperceived mental image, and the negative mental image of the practical courses among the students of the Department of Physical Education at Umm Al-Qura University, The researcher used the descriptive approach from the survey studies by designing a measure of the perceived mental image on a sample of (175) students, and they were chosen by the intentional method from the fourth level students who studied all the practical courses in the department, whether for the first or second semester of the academic year 2021 /2022. Data using frequencies, percentages and the test of significance of the ratio, and one of the most important results was the validity of the scale used in measuring the mental image perceived by students of the Department of Physical Education about practical courses. Realizing a positive mental image that is statistically significant about the practical courses of (53.20%) of the students of the Department of Physical Education, the sample of this study. And realizing a positive mental image that is statistically significant for students about the axes of the nature of studying practical courses, their abilities in practical performance, the method of implementing lectures, the lecturer, and their evaluation methods. The mental image of the student, and taking appropriate measures to develop the practical courses and academic programs, applying similar studies to measure the mental image of the department's graduates on the specialized tracks in the Department of Physical Education, reviewing the number of hours for some practical courses so that they are not less than two hours for all practical courses.

• Journal of Korea Trade
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• v.25 no.1
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• pp.112-132
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• 2021

Purpose - This study aims to analyze the international marketing strategies of domestic medical institutions in the international medical market, and to determine whether such strategies increase international market share. With this approach, this study examines the impact of international marketing and social capital on international management performance through global competency and national image. It is hoped that this study can provide some insight on international marketing strategies. Design/methodology - In order to verify the research hypotheses, this study investigates medical institutions based in Incheon, Seoul, Gyeonggi Province, which provides medical services for foreigners. The target population is medical staff and interpreters in charge of administrative work, and a total of 194 copies were collected for 30 days. Of the collected questionnaires, a total of 171 copies were chosen for final analysis, excluding questionnaires with lack of information. Structural equations were used for analyzing the data by employing the R program. Findings - Our analysis suggests that international marketing and global competency performance have an effect on management performance. However, social capital appears to have no effect on global competency and management performance. Originality/value - Given the lack of research on international medical institutions, this study can be useful in the sense that it can help companies improve international marketing performance. Further, global competency was empirically proved to have a strong mediating effect that enhances total effect, while playing a mediating role between international marketing activities and management performance. This study is of great academic value in that it has comprehensively reviewed and systematized existing studies, and conducted empirical studies in the absence of domestic studies.