Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226718
Ardha Ardea Prisilla, Yori Pusparani, Wen-Thong Chang, B. Liau, Yih-Kuen Jan, Peter Ardhianto, Chih-Yang Lin, Chi-Wen Lung
The detection of lumbar disc herniation (LDH) through magnetic resonance imaging (MRI) poses a challenge due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations. One potential solution is using deep learning methods to identify lumbar abnormalities in MRI images automatically. The YOU ONLY LOOK ONCE (YOLO) model series has gained popularity for training deep learning algorithms for real-time biomedical image detection. This study aims to assess the performance of the latest YOLOv7 in detecting LDH across different regions of the lumbar intervertebral disc. The analysis revealed that YOLOv7 exhibits a poor performance and low detection rate of LDH across the L1-L2, L2-L3, L3-L4, L4-L5, and L5-S1 regions.
通过磁共振成像(MRI)检测腰椎间盘突出症(LDH)提出了一个挑战，因为与凸起、突出、挤压和隔离相关的各种形状、大小、角度和区域。一个潜在的解决方案是使用深度学习方法自动识别MRI图像中的腰椎异常。YOU ONLY LOOK ONCE (YOLO)模型系列在训练用于实时生物医学图像检测的深度学习算法方面获得了广泛的应用。本研究旨在评估最新的YOLOv7在检测腰椎间盘不同区域LDH方面的性能。分析表明，YOLOv7在L1-L2、L2-L3、L3-L4、L4-L5和L5-S1区域的LDH检测性能较差，检出率较低。
{"title":"Automatic Detection of Lumbar Disc Herniation Using YOLOv7","authors":"Ardha Ardea Prisilla, Yori Pusparani, Wen-Thong Chang, B. Liau, Yih-Kuen Jan, Peter Ardhianto, Chih-Yang Lin, Chi-Wen Lung","doi":"10.1109/ICCE-Taiwan58799.2023.10226718","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226718","url":null,"abstract":"The detection of lumbar disc herniation (LDH) through magnetic resonance imaging (MRI) poses a challenge due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations. One potential solution is using deep learning methods to identify lumbar abnormalities in MRI images automatically. The YOU ONLY LOOK ONCE (YOLO) model series has gained popularity for training deep learning algorithms for real-time biomedical image detection. This study aims to assess the performance of the latest YOLOv7 in detecting LDH across different regions of the lumbar intervertebral disc. The analysis revealed that YOLOv7 exhibits a poor performance and low detection rate of LDH across the L1-L2, L2-L3, L3-L4, L4-L5, and L5-S1 regions.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133075244","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10227033
Hari Chandhana Varma M, Advaidh Swaminathan, Shu-Yen Lin
Deep Neural Networks (DNN) find its prominent presence in the AI world. The properties of its algorithms are very well exploited to make its computations power faster and more efficient. One such adaptation requires reduction in the bit width of the operations for DNN. This paper deals about a DNN architecture design with reconfigurable bitwidth accelerator without affecting the accuracy. This proposed architecture is a modified version of Bit Fusion architecture dealing with dynamic bit-level decomposition for accelerating complex DNN computations. The design make computations with less power consumption, and it is more suitable for the trade-offs among the latency, power, and temperature. The micro architecture design of the modified BitFusion using RTL simulations is carried out to evaluate the functionality.
{"title":"Multi-Mode AI Accelerator Architecture for Thermal-Aware 3D Stacked Deep Neural Network Design","authors":"Hari Chandhana Varma M, Advaidh Swaminathan, Shu-Yen Lin","doi":"10.1109/ICCE-Taiwan58799.2023.10227033","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10227033","url":null,"abstract":"Deep Neural Networks (DNN) find its prominent presence in the AI world. The properties of its algorithms are very well exploited to make its computations power faster and more efficient. One such adaptation requires reduction in the bit width of the operations for DNN. This paper deals about a DNN architecture design with reconfigurable bitwidth accelerator without affecting the accuracy. This proposed architecture is a modified version of Bit Fusion architecture dealing with dynamic bit-level decomposition for accelerating complex DNN computations. The design make computations with less power consumption, and it is more suitable for the trade-offs among the latency, power, and temperature. The micro architecture design of the modified BitFusion using RTL simulations is carried out to evaluate the functionality.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804143","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226894
Tzu-Ning Wu, Kai-Yi Chin, Sing-Tong Yeh
Applying the Internet of Things (IoT) is a way to link things through the Internet, thus creating work automation advantages. Therefore, program development regarding the IoT is becoming a field that attracts researchers and teachers to explore. However, low-level programming tools are often used in the learning process, which are not always user-friendly for beginners. Therefore, this study proposes a set of visual environmental analysis systems of self-directed learning courses to write instructions by dragging and dropping building blocks to reduce beginners’ learning obstacles. Additionally, this system uses the concept of self-directed learning in the study design. As such, we expect it to assist students in adjusting their learning speed to make learning personalized and reduce the situation of different states during unified learning. Moreover, this system also records all data detected. It presents the charts drawn after data analysis through web pages to increase students’ mastery of environmental changes at various time points. This study designed a complete experiment to explore the differences in the learning effects of this system on students.
{"title":"Developing a visual IoT environment analysis system to support self-directed learning of students","authors":"Tzu-Ning Wu, Kai-Yi Chin, Sing-Tong Yeh","doi":"10.1109/ICCE-Taiwan58799.2023.10226894","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226894","url":null,"abstract":"Applying the Internet of Things (IoT) is a way to link things through the Internet, thus creating work automation advantages. Therefore, program development regarding the IoT is becoming a field that attracts researchers and teachers to explore. However, low-level programming tools are often used in the learning process, which are not always user-friendly for beginners. Therefore, this study proposes a set of visual environmental analysis systems of self-directed learning courses to write instructions by dragging and dropping building blocks to reduce beginners’ learning obstacles. Additionally, this system uses the concept of self-directed learning in the study design. As such, we expect it to assist students in adjusting their learning speed to make learning personalized and reduce the situation of different states during unified learning. Moreover, this system also records all data detected. It presents the charts drawn after data analysis through web pages to increase students’ mastery of environmental changes at various time points. This study designed a complete experiment to explore the differences in the learning effects of this system on students.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"54 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114002705","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}
This work presents a circular polarized antenna used to increase the communication distance between small unmanned ships on the sea and the control station on land. Compared with popular commercial linear polarized antennas such as monopoles, the proposed antenna can effectively resist destructive interference caused by sea reflection, especially for small unmanned boats whose antennas are very close to the sea. The field test shows that the designed antenna equipped at the control station on land can achieve a longer communication distance than the antenna in the commonly used commercial wireless remote control system.
{"title":"An Approach to Increase Communication Distance of Small Unmanned Boats","authors":"Yuan-Sheng Chen, Ming-Tien Wu, Ming-Lin Chuang, Shu-Min Tsai, Cheng-Hao Lu, Bo-Shin Huang","doi":"10.1109/ICCE-Taiwan58799.2023.10226842","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226842","url":null,"abstract":"This work presents a circular polarized antenna used to increase the communication distance between small unmanned ships on the sea and the control station on land. Compared with popular commercial linear polarized antennas such as monopoles, the proposed antenna can effectively resist destructive interference caused by sea reflection, especially for small unmanned boats whose antennas are very close to the sea. The field test shows that the designed antenna equipped at the control station on land can achieve a longer communication distance than the antenna in the commonly used commercial wireless remote control system.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115325005","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226856
Ing-Chau Chang, C. Yen, Y. Sheu
By adopting the Online to Offline (O2O) commerce strategy, this paper designs and implements the Bluetooth Low Energy (BLE) indoor positioning technique for an Android APP to let the customer browse online and promote the offline shopping conversely. This APP supports Bluetooth indoor positioning, multi-floor route planning, push message notification and various feedback mechanisms. Hence, it is able to locate current position of the customer in the department store and navigate the customer to each retailer for buying the commodities ordered online through the shortest path.
本文采用线上到线下(Online to Offline, O2O)的商务策略，设计并实现了Android APP的蓝牙低功耗(Bluetooth Low Energy, BLE)室内定位技术，让顾客线上浏览，反过来促进线下购物。本APP支持蓝牙室内定位、多层路线规划、推送消息通知及多种反馈机制。因此，它能够定位客户在百货商店中的当前位置，并通过最短路径将客户导航到每个零售商以购买在线订购的商品。
{"title":"A Bluetooth Low Energy Indoor Positioning Algorithm for an Online to Offline Commerce System","authors":"Ing-Chau Chang, C. Yen, Y. Sheu","doi":"10.1109/ICCE-Taiwan58799.2023.10226856","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226856","url":null,"abstract":"By adopting the Online to Offline (O2O) commerce strategy, this paper designs and implements the Bluetooth Low Energy (BLE) indoor positioning technique for an Android APP to let the customer browse online and promote the offline shopping conversely. This APP supports Bluetooth indoor positioning, multi-floor route planning, push message notification and various feedback mechanisms. Hence, it is able to locate current position of the customer in the department store and navigate the customer to each retailer for buying the commodities ordered online through the shortest path.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114442010","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226711
Shih-Ying Lin, Chi-Chang Li, Ze-Yi Wei, C. Chi, J. Rau, Wei-Guang Teng, Ting-Wei Hou
Few disaster rescue support information systems would integrate disaster response robot collected information and vicinity medication institution information. This research proposes such a system that can display the disaster area overview, geographic information, medical institution’s emergency current processing capability, 3D building model and the robot captured data. A user can observe disaster situations, mark interested subarea, pin(associate) some video captured by the robot with the 3D model.
{"title":"A disaster rescue support system with 3D GIS and robot captured data","authors":"Shih-Ying Lin, Chi-Chang Li, Ze-Yi Wei, C. Chi, J. Rau, Wei-Guang Teng, Ting-Wei Hou","doi":"10.1109/ICCE-Taiwan58799.2023.10226711","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226711","url":null,"abstract":"Few disaster rescue support information systems would integrate disaster response robot collected information and vicinity medication institution information. This research proposes such a system that can display the disaster area overview, geographic information, medical institution’s emergency current processing capability, 3D building model and the robot captured data. A user can observe disaster situations, mark interested subarea, pin(associate) some video captured by the robot with the 3D model.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114844852","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226692
Chih-Chung Hsu, Pi-Ju Tsai
Facial recognition technology has been increasingly applied to daily life; however, differentiating identical twins remains a challenging task. This paper investigates the performance of facial recognition models on identical twins and introduces fine-grained image classification as a potential solution. We created a dataset of 54 pairs of twin images and tested various models on three datasets (LFW, SLLFW, and our homemade twins dataset) with different degrees of similarity. The Facenet model was chosen as the backbone network for our fine-tuned model due to its outstanding performance. The fine-tuned model showed improved performance in distinguishing negative pairs compared to the pretrained model and had slightly better accuracy than human recognition.
{"title":"Identical Twins Verification with Fine-grained Recognition","authors":"Chih-Chung Hsu, Pi-Ju Tsai","doi":"10.1109/ICCE-Taiwan58799.2023.10226692","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226692","url":null,"abstract":"Facial recognition technology has been increasingly applied to daily life; however, differentiating identical twins remains a challenging task. This paper investigates the performance of facial recognition models on identical twins and introduces fine-grained image classification as a potential solution. We created a dataset of 54 pairs of twin images and tested various models on three datasets (LFW, SLLFW, and our homemade twins dataset) with different degrees of similarity. The Facenet model was chosen as the backbone network for our fine-tuned model due to its outstanding performance. The fine-tuned model showed improved performance in distinguishing negative pairs compared to the pretrained model and had slightly better accuracy than human recognition.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"-1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117063973","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226714
Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Y. Shimizu, Shiro Watanabe, K. Hirata, Keisuke Maeda, Takahiro Ogawa, K. Kudo, M. Haseyama
We propose a method to estimate amyloid-β positivity from axial slices of Quantitative Susceptibility Mapping (QSM) considering patient age. Although QSM has received much attention for the early diagnosis of Alzheimer’s disease, the slices reflect not only iron deposition derived from Alzheimer’s disease but also physiological iron deposition due to age. Our method uses both QSM images and patient age to train the model, and thus alleviates the negative effects by referring to iron deposition in patients of similar age. Experimental results show the effectiveness of using both QSM slices and patient age.
{"title":"Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information","authors":"Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Y. Shimizu, Shiro Watanabe, K. Hirata, Keisuke Maeda, Takahiro Ogawa, K. Kudo, M. Haseyama","doi":"10.1109/ICCE-Taiwan58799.2023.10226714","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226714","url":null,"abstract":"We propose a method to estimate amyloid-β positivity from axial slices of Quantitative Susceptibility Mapping (QSM) considering patient age. Although QSM has received much attention for the early diagnosis of Alzheimer’s disease, the slices reflect not only iron deposition derived from Alzheimer’s disease but also physiological iron deposition due to age. Our method uses both QSM images and patient age to train the model, and thus alleviates the negative effects by referring to iron deposition in patients of similar age. Experimental results show the effectiveness of using both QSM slices and patient age.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117077054","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226755
J. Lee, Chun-Chuan Chen, Eric Hsiao-Kuang Wu, S. Yeh, Wei-Jen Wang
Wearable sensors have a significant increase in both research and commercialization as a kind of consumer electronics. In the field of healthy science, wearable sensors provide affordable solutions for massive screening or long tern monitoring, for instance, wearable dry electroencephalography (EEG) for brain and electrocardiogram (ECG) for heart. Human brain and heart are the most important organs and the targets for healthy monitoring. Given that brain and heart sometimes have comorbidities of each other as they are reciprocally connected, it is important to monitor their relations. However, only a few studies addressed the relationships between them under healthy states. This study aims to examine the brain-heart interactions(BHI) under different states, including two different resting states and one attentional state using wearable sensors. Twenty subject were recruited and performed a memory task in a virtual supermarket. Five-channel dry EEG and two-channel ECG were acquired before, during, and after the task. Pearson correlation was employed to analyze the relations between EEG features and heart rate variability (HRV). Two sample t test and machine learning method were employed to analysis the difference between states. We found that higher frequency oscillations in the brain were used to communicate with the heart during the pre-rest state and task state respectively, then switched to lower frequency for resetting the BHI after task. Moreover, the combination of EEG and ECG features can best distinguish the pre and post resting states. Our findings suggest that BHI are dynamic and state-dependent and studying the BHI can provide better understanding of the states in the body to aid the diagnosis and/or treatment for diseases affected both brain and heart.
{"title":"Using wearable sensors to study the brain-heart interactions during attentional and resting states","authors":"J. Lee, Chun-Chuan Chen, Eric Hsiao-Kuang Wu, S. Yeh, Wei-Jen Wang","doi":"10.1109/ICCE-Taiwan58799.2023.10226755","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226755","url":null,"abstract":"Wearable sensors have a significant increase in both research and commercialization as a kind of consumer electronics. In the field of healthy science, wearable sensors provide affordable solutions for massive screening or long tern monitoring, for instance, wearable dry electroencephalography (EEG) for brain and electrocardiogram (ECG) for heart. Human brain and heart are the most important organs and the targets for healthy monitoring. Given that brain and heart sometimes have comorbidities of each other as they are reciprocally connected, it is important to monitor their relations. However, only a few studies addressed the relationships between them under healthy states. This study aims to examine the brain-heart interactions(BHI) under different states, including two different resting states and one attentional state using wearable sensors. Twenty subject were recruited and performed a memory task in a virtual supermarket. Five-channel dry EEG and two-channel ECG were acquired before, during, and after the task. Pearson correlation was employed to analyze the relations between EEG features and heart rate variability (HRV). Two sample t test and machine learning method were employed to analysis the difference between states. We found that higher frequency oscillations in the brain were used to communicate with the heart during the pre-rest state and task state respectively, then switched to lower frequency for resetting the BHI after task. Moreover, the combination of EEG and ECG features can best distinguish the pre and post resting states. Our findings suggest that BHI are dynamic and state-dependent and studying the BHI can provide better understanding of the states in the body to aid the diagnosis and/or treatment for diseases affected both brain and heart.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116084013","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}
Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226808
Yuya Izumoto, Y. Taniguchi
As the number of devices connected to the network increases, the management becomes more complicated and the possibility of security problems increases. In this paper, we developed a security diagnosis system that can verify whether there are any problems with the devices in the wireless LAN or the settings of the wireless LAN itself. Our system has functions such as verification of wireless LAN settings, remote login verification, and Wi-Fi vulnerability verification. Through experimental evaluations, we confirmed the basic performance of our system.
{"title":"Development of a security diagnosis system for wireless LAN environment","authors":"Yuya Izumoto, Y. Taniguchi","doi":"10.1109/ICCE-Taiwan58799.2023.10226808","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226808","url":null,"abstract":"As the number of devices connected to the network increases, the management becomes more complicated and the possibility of security problems increases. In this paper, we developed a security diagnosis system that can verify whether there are any problems with the devices in the wireless LAN or the settings of the wireless LAN itself. Our system has functions such as verification of wireless LAN settings, remote login verification, and Wi-Fi vulnerability verification. Through experimental evaluations, we confirmed the basic performance of our system.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123077069","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}
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