Journal of Korea Multimedia Society最新文献_第6页

U-Net Based Single Image Deraining Using the Wavelet Residue Channel Fusion Strategy 基于U-Net的小波残差信道融合单幅图像去噪

Journal of Korea Multimedia Society Pub Date : 2023-09-30 DOI: 10.9717/kmms.2023.26.9.1115

Tae-Hee Park

引用次数: 0

Analysis of Visual Attention on Korean Essay Book Covers Using Eye-tracking Devices 用眼动仪分析韩语随笔书封面的视觉注意

Journal of Korea Multimedia Society Pub Date : 2023-09-30 DOI: 10.9717/kmms.2023.26.9.1149

Minhee Park, Mahnwoo Kwon, Mikyung Hwang, Hyeonseong Kim

引用次数: 0

Attention Based-ConvLSTM-DNN Networks for Fine Dust Concentration Prediction 基于注意力的convlstm - dnn网络微尘浓度预测

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.911

Joon-Min Lee, Kyeong-Tae Kim, Jae-Young Choi

引用次数: 0

Improvement of Prostate Cancer Aggressiveness Prediction Performance Using a Self-Supervised Learning Model Fine-Turned on Similar Medical Images from Multi-Parametric MR Images 利用自监督学习模型对多参数MR图像的相似医学图像进行微调，提高前列腺癌侵袭性预测性能

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.995

Yejin Shin, Min-Jin Lee, Helen Hong, Sung-Il Hwang

{"title":"Improvement of Prostate Cancer Aggressiveness Prediction Performance Using a Self-Supervised Learning Model Fine-Turned on Similar Medical Images from Multi-Parametric MR Images","authors":"Yejin Shin, Min-Jin Lee, Helen Hong, Sung-Il Hwang","doi":"10.9717/kmms.2023.26.8.995","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.995","url":null,"abstract":"In this paper, we propose a prostate cancer aggressiveness prediction model using self-supervised learning based on SimCLR with multi-parametric MR images. Self-supervised learning model is initially trained on the STL10 dataset, and then fine-tuned on the ProstateX dataset, which is similar to the downstream task dataset. To predict prostate cancer aggressiveness, downstream tasks are performed using each sequence of images from the multi-parametric MR dataset. The predicted results are combined using either majority voting or average voting for ensembling. Experimental results demonstrate that the self-supervised learning model fine-turned with similar images improves the performance by an average of 4.56% in accuracy, 20.69% in sensitivity, and 12.02% in negative predictive value. The ensemble method using majority voting with the self-supervised learning model fine-turned on similar images from the multi-parametric MR dataset yields the best performance in terms of accuracy (72.58%), balance accuracy (72.16%), and sensitivity (67.86%).","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Bone Conduction Implants Piezoelectric Transducer Based on Rhombus Mechanism for Magnetic Resonance Compatibility Improvement 基于菱形机构的骨传导植入体压电换能器的磁共振相容性改善设计

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.956

Dong-Ho Shin, Hyung-Gyu Lim, Myoung-Nam Kim, Ki-Woong Seong

{"title":"Design of Bone Conduction Implants Piezoelectric Transducer Based on Rhombus Mechanism for Magnetic Resonance Compatibility Improvement","authors":"Dong-Ho Shin, Hyung-Gyu Lim, Myoung-Nam Kim, Ki-Woong Seong","doi":"10.9717/kmms.2023.26.8.956","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.956","url":null,"abstract":"This study introduces a novel piezoelectric transducer for bone conduction implants that combines piezoelectric elements with a rhombus mechanism to enhance compatibility with magnetic resonance environments. To derive the optimal design of the rhombus structure, various parameters were investigated using theoretical analysis and finite element analysis. A theoretical model of the rhombus structure was employed to identify the parameters affecting displacement amplification magnitude. Based on this, a parametric analysis was performed to calculate the displacement amplification ratio according to these parameters. The results showed that as the beam thickness and width increased, the amplification ratio reduced, while with an increased length, the amplification ratio was increased. Therefore, the optimal rhombus structure for the transducer featured beam dimensions of 0.15 mm thickness, 2 mm width, 3.5 mm length, and 5.5° inclination. This configuration amplified piezoelectric element displacement by a factor of 7.02. The amplification ratio remained constant as long as the mass applied to the rhombus frame to control mechanical resonance did not exceed the blocking force of the piezoelectric element. When a mass of 0.3 g was applied to the frame, mechanical resonance occurred at a frequency of 2 kHz, making it suitable as a transducer for bone conduction implants.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Corporate Bankruptcy Prediction Analysis Based on Financial and Non-Financial Information Using Deep Learning 基于深度学习的财务与非财务信息的企业破产预测分析研究

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1003

Joong-Hyun Park

{"title":"Research on Corporate Bankruptcy Prediction Analysis Based on Financial and Non-Financial Information Using Deep Learning","authors":"Joong-Hyun Park","doi":"10.9717/kmms.2023.26.8.1003","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.1003","url":null,"abstract":"In the past, research related to corporate bankruptcy has primarily conducted empirical analyses through bankruptcy prediction models using financial ratios. However, with the advancement of ICT technology, there has been a growing trend in applying artificial intelligence. In this study, both traditional corporate bankruptcy prediction methodologies and machine learning and deep learning methodologies from the field of deep learning were applied to present the results of corporate bankruptcy prediction models and their predictive power. The dataset used included corporate characteristics, including financial ratios and non-financial information, as well as macroeconomic indicators to account for economic conditions. Five models, SVM, RF, DNN, CNN, and LSTM, were designated, and the model reliability and prediction accuracy for each model were analyzed. The LSTM model demonstrated superior performance and the highest prediction accuracy among the models. When comparing different approaches using only financial ratios (Set 1), using financial ratios and corporate characteristics together (Set 2), and incorporating financial ratios, corporate characteristics, and macroeconomic indicators (Set 3), which included all of these factors, consistently exhibited the highest model reliability and prediction accuracy.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generation and Analysis of Webtoon Background Images Using GAN 基于GAN的网络漫画背景图像生成与分析

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1075

Je-Kyung Lee, Jeoung-Gi Kim, Jeong-In Ahn, Ji-Yeon Lim, Kyung-Ae Cha

引用次数: 0

An Analysis of Usability on Secondary Functions for the Hearing Impaired to Enjoy Metaverse Contents － Focusing on popular music concerts －听觉障碍者欣赏虚拟世界内容的辅助功能可用性分析——以流行音乐会为例

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1064

Nam-Hee Kim, Soon-Bum Lim

{"title":"An Analysis of Usability on Secondary Functions for the Hearing Impaired to Enjoy Metaverse Contents － Focusing on popular music concerts －","authors":"Nam-Hee Kim, Soon-Bum Lim","doi":"10.9717/kmms.2023.26.8.1064","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.1064","url":null,"abstract":"Hearing-impaired people should be able to enjoy virtual reality content without discrimination. The development of metaverse has led to the success of virtual environment contents, including virtual concerts, but services for the deaf are still insufficient in this environment. In this paper, we present an auxiliary solution for hearing-impaired people to enjoy metaverse concerts and made video test samples for usability evaluation. To demonstrate that the solutions presented in this study help hearing-impaired people enjoy metaverse concerts, we made video test materials that provide secondary functions such as motion captions and haptic vibration. Test materials that provide basic subtitles were compared with test materials that applied motion captions, haptic vibrations, and both. To this end, an effectiveness evaluation and satisfaction evaluation using the Likert scale were conducted, and then a subjective satisfaction-oriented interview was conducted. Providing motion captions and haptic vibration together resulted in a relatively high usability evaluation effectiveness score, and specific requirements, problems, and improvements were identified through user interviews. If actual programs are developed and distributed based on this study, the quality of cultural life can be improved in the virtual environment of the hearing-impaired people.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning Network Algorithm Based on X-transfer Learning for Micro Object Detection 基于x -迁移学习的微目标检测深度学习网络算法

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.925

Oh-Seol Kwon

引用次数: 0

Deep Learning Ar chitectur e for Choice-based Recommendation System: A Case Study of Flight Sear ch Engine 基于选择的推荐系统的深度学习架构——以航班搜索引擎为例

Journal of Korea Multimedia Society Pub Date : 2023-08-31 DOI: 10.9717/kmms.2023.26.8.1027

Hamdi Abdurhman Ahmed, Jihwan Lee, Donghyun Kim, ByeongSeok Yu

{"title":"Deep Learning Ar chitectur e for Choice-based Recommendation System: A Case Study of Flight Sear ch Engine","authors":"Hamdi Abdurhman Ahmed, Jihwan Lee, Donghyun Kim, ByeongSeok Yu","doi":"10.9717/kmms.2023.26.8.1027","DOIUrl":"https://doi.org/10.9717/kmms.2023.26.8.1027","url":null,"abstract":"First, we propose a class of efficient models classed as choice-based recommendation (CBR) for parametric metrics, such as a logit model as a recommendation system using nonparametric approaches. The rest of the papers is organized as follow : we used a simple, streamlined architecture that uses a nonparametric approach such as a feedforward deep neural network (DNN). The study implemented a method to deal with a choice set with a fixed and variable-length option, investigate deep learning methods that consider each choice set as one sample point, the effect of embedding categorical features and accuracy impact, and the efficiency of batch normalization toward a more stable network. To check the performance of our approach, we conducted extensive experiments on multiple datasets and used the top-k accuracy as a metric. We then show the effectiveness of CBR across two industrial applications and use cases, including hotel booking and airline itineraries. The results show that the DNN outperforms the multinomial logit model (MNL) with significant top-k accuracy. The top-k accuracy was further divided into three different DNN models. Among the models, a model that included a layer with batch normalization embedding outperforms with top-k accuracy compared with the model that does not include both batch normalization and embedding layer in the proposed DNN architecture.","PeriodicalId":16316,"journal":{"name":"Journal of Korea Multimedia Society","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135991685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0