Pub Date : 2023-09-01DOI: 10.1587/transinf.2022ofp0002
Mustafa Sami Kacar, Semih Yumusak, H. Kodaz
{"title":"Price Rank Prediction of a Company by Utilizing Data Mining Methods on Financial Disclosures","authors":"Mustafa Sami Kacar, Semih Yumusak, H. Kodaz","doi":"10.1587/transinf.2022ofp0002","DOIUrl":"https://doi.org/10.1587/transinf.2022ofp0002","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"32 1","pages":"1461-1471"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67309122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2023edp7008
Katsuyuki HAGIWARA
In machine learning, data augmentation (DA) is a technique for improving the generalization performance of models. In this paper, we mainly consider gradient descent of linear regression under DA using noisy copies of datasets, in which noise is injected into inputs. We analyze the situation where noisy copies are newly generated and injected into inputs at each epoch, i.e., the case of using on-line noisy copies. Therefore, this article can also be viewed as an analysis on a method using noise injection into a training process by DA. We considered the training process under three training situations which are the full-batch training under the sum of squared errors, and full-batch and mini-batch training under the mean squared error. We showed that, in all cases, training for DA with on-line copies is approximately equivalent to the ℓ2 regularization training for which variance of injected noise is important, whereas the number of copies is not. Moreover, we showed that DA with on-line copies apparently leads to an increase of learning rate in full-batch condition under the sum of squared errors and the mini-batch condition under the mean squared error. The apparent increase in learning rate and regularization effect can be attributed to the original input and additive noise in noisy copies, respectively. These results are confirmed in a numerical experiment in which we found that our result can be applied to usual off-line DA in an under-parameterization scenario and can not in an over-parametrization scenario. Moreover, we experimentally investigated the training process of neural networks under DA with off-line noisy copies and found that our analysis on linear regression can be qualitatively applied to neural networks.
{"title":"On Gradient Descent Training Under Data Augmentation with On-Line Noisy Copies","authors":"Katsuyuki HAGIWARA","doi":"10.1587/transinf.2023edp7008","DOIUrl":"https://doi.org/10.1587/transinf.2023edp7008","url":null,"abstract":"In machine learning, data augmentation (DA) is a technique for improving the generalization performance of models. In this paper, we mainly consider gradient descent of linear regression under DA using noisy copies of datasets, in which noise is injected into inputs. We analyze the situation where noisy copies are newly generated and injected into inputs at each epoch, i.e., the case of using on-line noisy copies. Therefore, this article can also be viewed as an analysis on a method using noise injection into a training process by DA. We considered the training process under three training situations which are the full-batch training under the sum of squared errors, and full-batch and mini-batch training under the mean squared error. We showed that, in all cases, training for DA with on-line copies is approximately equivalent to the ℓ2 regularization training for which variance of injected noise is important, whereas the number of copies is not. Moreover, we showed that DA with on-line copies apparently leads to an increase of learning rate in full-batch condition under the sum of squared errors and the mini-batch condition under the mean squared error. The apparent increase in learning rate and regularization effect can be attributed to the original input and additive noise in noisy copies, respectively. These results are confirmed in a numerical experiment in which we found that our result can be applied to usual off-line DA in an under-parameterization scenario and can not in an over-parametrization scenario. Moreover, we experimentally investigated the training process of neural networks under DA with off-line noisy copies and found that our analysis on linear regression can be qualitatively applied to neural networks.","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136310000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022edp7223
Ningning Chen, Huibiao Zhu
{"title":"IoT Modeling and Verification: From the CaIT Calculus to UPPAAL","authors":"Ningning Chen, Huibiao Zhu","doi":"10.1587/transinf.2022edp7223","DOIUrl":"https://doi.org/10.1587/transinf.2022edp7223","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"106 1","pages":"1507-1518"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67308895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022icp0013
Hiroki Kuzuno, Toshihiro Yamauchi
{"title":"Protection Mechanism of Kernel Data Using Memory Protection Key","authors":"Hiroki Kuzuno, Toshihiro Yamauchi","doi":"10.1587/transinf.2022icp0013","DOIUrl":"https://doi.org/10.1587/transinf.2022icp0013","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"106 1","pages":"1326-1338"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67308796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022ict0001
Kosuke Murakami, Takahiro Kasama, D. Inoue
{"title":"A Large-Scale Investigation into the Possibility of Malware Infection of IoT Devices with Weak Credentials","authors":"Kosuke Murakami, Takahiro Kasama, D. Inoue","doi":"10.1587/transinf.2022ict0001","DOIUrl":"https://doi.org/10.1587/transinf.2022ict0001","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"72 1","pages":"1316-1325"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67308483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022ofi0001
Kenta Nomura, Yuta Takata, Hiroshi Kumagai, Masaki Kamizono, Yoshiaki Shiraishi, M. Mohri, M. Morii
{"title":"Investigations of Electronic Signatures for Construction of Trust Services","authors":"Kenta Nomura, Yuta Takata, Hiroshi Kumagai, Masaki Kamizono, Yoshiaki Shiraishi, M. Mohri, M. Morii","doi":"10.1587/transinf.2022ofi0001","DOIUrl":"https://doi.org/10.1587/transinf.2022ofi0001","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"43 1","pages":"1436-1451"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67308555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022ofp0003
K. Fukae, Tetsuo Imai, Kenichi Arai, Toru Kobayashi
{"title":"Fish School Behaviour Classification for Optimal Feeding Using Dense Optical Flow","authors":"K. Fukae, Tetsuo Imai, Kenichi Arai, Toru Kobayashi","doi":"10.1587/transinf.2022ofp0003","DOIUrl":"https://doi.org/10.1587/transinf.2022ofp0003","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"106 1","pages":"1472-1479"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67309175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022ofp0004
Thin Tharaphe Thein, Yoshiaki Shiraishi, M. Morii
{"title":"Few-Shot Learning-Based Malicious IoT Traffic Detection with Prototypical Graph Neural Networks","authors":"Thin Tharaphe Thein, Yoshiaki Shiraishi, M. Morii","doi":"10.1587/transinf.2022ofp0004","DOIUrl":"https://doi.org/10.1587/transinf.2022ofp0004","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"106 1","pages":"1480-1489"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67309186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1587/transinf.2022ofl0001
S. Kakei, Hiroaki Seko, Yoshiaki Shiraishi, S. Saito
{"title":"Design of Enclosing Signing Keys by All Issuers in Distributed Public Key Certificate-Issuing Infrastructure","authors":"S. Kakei, Hiroaki Seko, Yoshiaki Shiraishi, S. Saito","doi":"10.1587/transinf.2022ofl0001","DOIUrl":"https://doi.org/10.1587/transinf.2022ofl0001","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"106 1","pages":"1495-1498"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67308565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Policy-Based Method for Applying OAuth 2.0-Based Security Profiles","authors":"Takashi Norimatsu, Yuichi Nakamura, Toshihiro Yamauchi","doi":"10.1587/transinf.2022icp0004","DOIUrl":"https://doi.org/10.1587/transinf.2022icp0004","url":null,"abstract":"","PeriodicalId":55002,"journal":{"name":"IEICE Transactions on Information and Systems","volume":"106 1","pages":"1364-1379"},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67308663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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