Pub Date : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179578
Tzu-Hsuan Hsu, Jau‐Ji Jou, Tien-Tsorng Shih, Y. Hung
Herein, we designed and simulated the monolithic integration of photo-diode (PD) and transimpedance amplifier (TIA) in CMOS 90 nm technology. In the standard process, a PN-junction structure with an illuminated area of 39.48 $mu$m × 39.48 $mu$m was designed as the PD. The breakdown voltage of the PD is -10.5V. At a reverse bias voltage of 3V, the PD has a dark current of 2.6 pA and a capacitance of 1.03 pF. The TIA is composed of a regulated gate cascode circuit, a differential amplifier paralleling with an edge peak generator. The PD and the TIA are monolithically integrated, the overall transimpedance gain is 40.3 dB$Omega$, and the bandwidth is 4.1 GHz. The integrated design of PD and TIA could be applied in 5 Gb/s optical receivers.
在此，我们设计并模拟了光电二极管(PD)和跨阻放大器(TIA)在CMOS 90nm工艺下的单片集成。在标准工艺中，设计了一个照射面积为39.48 $mu$ m × 39.48 $mu$ m的pn结结构作为PD。PD击穿电压为-10.5V。在反向偏置电压为3V时，PD的暗电流为2.6 pA，电容为1.03 pF。TIA由一个稳压门级联电路、一个差分放大器和一个边峰发生器并联组成。PD和TIA采用单片集成，整体跨阻增益为40.3 dB $Omega$，带宽为4.1 GHz。PD和TIA集成设计可以应用于5gb /s光接收机。
{"title":"Monolithic Integration of Photo-Diode and Transimpedance Amplifier in CMOS 90 nm Technology","authors":"Tzu-Hsuan Hsu, Jau‐Ji Jou, Tien-Tsorng Shih, Y. Hung","doi":"10.1109/ICASI57738.2023.10179578","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179578","url":null,"abstract":"Herein, we designed and simulated the monolithic integration of photo-diode (PD) and transimpedance amplifier (TIA) in CMOS 90 nm technology. In the standard process, a PN-junction structure with an illuminated area of 39.48 $mu$m × 39.48 $mu$m was designed as the PD. The breakdown voltage of the PD is -10.5V. At a reverse bias voltage of 3V, the PD has a dark current of 2.6 pA and a capacitance of 1.03 pF. The TIA is composed of a regulated gate cascode circuit, a differential amplifier paralleling with an edge peak generator. The PD and the TIA are monolithically integrated, the overall transimpedance gain is 40.3 dB$Omega$, and the bandwidth is 4.1 GHz. The integrated design of PD and TIA could be applied in 5 Gb/s optical receivers.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115610585","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179523
Van-Viet Nguyen, Chun-Ling Lin
In this research, a hybrid convolutional neuron network (CNN) model was developed for cataract detection. The full fundus image in the original dataset will be divided into four segments that created five fundus image datasets and trained by five different CNN models which have the same structure. The five model predictions will pass through majority voting to get the final prediction. The experimental result shows that the proposed hybrid CNN performs better than stand-alone models.
{"title":"Cataract Detection using Hybrid CNN Model on Retinal Fundus Images","authors":"Van-Viet Nguyen, Chun-Ling Lin","doi":"10.1109/ICASI57738.2023.10179523","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179523","url":null,"abstract":"In this research, a hybrid convolutional neuron network (CNN) model was developed for cataract detection. The full fundus image in the original dataset will be divided into four segments that created five fundus image datasets and trained by five different CNN models which have the same structure. The five model predictions will pass through majority voting to get the final prediction. The experimental result shows that the proposed hybrid CNN performs better than stand-alone models.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127739080","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}
With the advancement of medical technology, the average life expectancy of human beings has been extended, and the aging of the global population has become an unquestionable fact. How to provide continuous and long-term care for an aging society has become an issue that countries all over the world attach importance to. From preventive medicine that connects hospitals and communities to acute medical, chronic medical and people’s living care, overall health, and care, community preventive care, inpatient medical care, and extended home care at home, not only preventive health care at the front end but also reduce and delay the disability, and have complete palliative care treatment at the back end, so that the aging population can receive complete care, and it is an important issue facing the aging population. This paper proposesc a new type of information technology medical care service. Through the remote medical information service platform developed by us, combining the medical resources of the community and the hospital, we develop a cloud information system for data collection and remote consultation and assist the service information needed in the care process through the provision and reminder of mobile information. In the remote medical information service platform, the server, and the case can be more suitable for medical care. Finally, experimental results show that our platform can not only improve medical quality, high-efficiency medical services, but also reduce medical costs, and make up for the shortage of manpower.
{"title":"Medical Integrated Development Platform Based on Community and Hospital","authors":"Jhe-Wei Lin, Cheng-Yan Siao, Ting-Hsuan Chien, Rong-Guey Chang, Mei-Ling Hsu","doi":"10.1109/ICASI57738.2023.10179511","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179511","url":null,"abstract":"With the advancement of medical technology, the average life expectancy of human beings has been extended, and the aging of the global population has become an unquestionable fact. How to provide continuous and long-term care for an aging society has become an issue that countries all over the world attach importance to. From preventive medicine that connects hospitals and communities to acute medical, chronic medical and people’s living care, overall health, and care, community preventive care, inpatient medical care, and extended home care at home, not only preventive health care at the front end but also reduce and delay the disability, and have complete palliative care treatment at the back end, so that the aging population can receive complete care, and it is an important issue facing the aging population. This paper proposesc a new type of information technology medical care service. Through the remote medical information service platform developed by us, combining the medical resources of the community and the hospital, we develop a cloud information system for data collection and remote consultation and assist the service information needed in the care process through the provision and reminder of mobile information. In the remote medical information service platform, the server, and the case can be more suitable for medical care. Finally, experimental results show that our platform can not only improve medical quality, high-efficiency medical services, but also reduce medical costs, and make up for the shortage of manpower.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132606774","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179583
Chia-Mei Chen, Sung-Yu Huang, Zheng-Xun Cai, Ya-Hui Ou, Jiunn-Wu Lin
The number of documented supply chain attacks has increased over six times nowadays, and the types of supply chain attacks have diversified. Organizations grant suppliers privileged user accounts to perform their tasks which hold the keys to unlocking internal networks. Privilege escalation is a key step for attackers to penetrate a target system network, which makes privileged user accounts attractive to adversaries. This study employs unsupervised machine learning techniques to profile privileged users’ normal behaviors and develops a risk score function to identify their anomalies. The proposed solution has been evaluated with real data, and the experimental results demonstrate that it could discover the anomalies efficiently.
{"title":"Detecting Supply Chain Attacks with Unsupervised Learning","authors":"Chia-Mei Chen, Sung-Yu Huang, Zheng-Xun Cai, Ya-Hui Ou, Jiunn-Wu Lin","doi":"10.1109/ICASI57738.2023.10179583","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179583","url":null,"abstract":"The number of documented supply chain attacks has increased over six times nowadays, and the types of supply chain attacks have diversified. Organizations grant suppliers privileged user accounts to perform their tasks which hold the keys to unlocking internal networks. Privilege escalation is a key step for attackers to penetrate a target system network, which makes privileged user accounts attractive to adversaries. This study employs unsupervised machine learning techniques to profile privileged users’ normal behaviors and develops a risk score function to identify their anomalies. The proposed solution has been evaluated with real data, and the experimental results demonstrate that it could discover the anomalies efficiently.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130961794","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179565
Yi-Hsuan Kao, Chun-Ling Lin
This study adopts a pixel color amplification to increase the characteristics of the fundus image to solve inconsistent images quality problem and adopts EfficientNetV2 architecture of deep convolutional neural network (CNN) to detect Diabetic Retinopathy (DR). The results show that the proposed method can achieve 0.9120/87.16% of quadratic weight kappa and accuracy score and proves the efficacy of the proposed approach in DR classification. Thus, our work can help DR patients to reduce the probability of having lifelong blindness.
{"title":"Detection of Diabetic Retinopathy via Pixel Color Amplification Using EfficientNetV2","authors":"Yi-Hsuan Kao, Chun-Ling Lin","doi":"10.1109/ICASI57738.2023.10179565","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179565","url":null,"abstract":"This study adopts a pixel color amplification to increase the characteristics of the fundus image to solve inconsistent images quality problem and adopts EfficientNetV2 architecture of deep convolutional neural network (CNN) to detect Diabetic Retinopathy (DR). The results show that the proposed method can achieve 0.9120/87.16% of quadratic weight kappa and accuracy score and proves the efficacy of the proposed approach in DR classification. Thus, our work can help DR patients to reduce the probability of having lifelong blindness.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130575673","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179521
Cheng-Ta Lo, Yi-Hsuan Lee, Jun-Hong Peng
Twitter users usually care about the popularity of their tweets, and retweet count is always a good measure. Along with Neural Networks have achieved outstanding accomplishments, Graph Neural Network (GNN) becomes a new research field. In this article, we select a group of active users on a Twitter page. After observing their recent retweet behaviors, different GNN models are constructed and labeled. These GNN models are used to predict the user retweet behavior and estimate the retweet count in the early stage.
{"title":"Real-time Retweet Count Prediction using GNN Model","authors":"Cheng-Ta Lo, Yi-Hsuan Lee, Jun-Hong Peng","doi":"10.1109/ICASI57738.2023.10179521","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179521","url":null,"abstract":"Twitter users usually care about the popularity of their tweets, and retweet count is always a good measure. Along with Neural Networks have achieved outstanding accomplishments, Graph Neural Network (GNN) becomes a new research field. In this article, we select a group of active users on a Twitter page. After observing their recent retweet behaviors, different GNN models are constructed and labeled. These GNN models are used to predict the user retweet behavior and estimate the retweet count in the early stage.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132301531","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179535
Wei-Chi Hsu, Yen-Chung Chiang
A wideband amplifier designed in a 180-nm SiGe BiCMOS process technology for cryogenic applications is proposed in this conference paper. By using the common-base stage as the input stage and the emitter follower as the final stage, it can have a wideband input/output matching. The proposed amplifier had been test at room temperature by probing test and in a 4K environment by on-board test and it achieved a peak measured gain of 18.95 dB at room temperature and 25 dB gain at 4K. The measured lowest noise Figure (NF) is between 5.8 to 6.4 dB at room temperature. The proposed circuit draws a 13.52 mW dc-power at room temperature and 12.95 mW at 4K from a 2.0-V supply.
{"title":"A 180-nm SiGe BiCMOS Wideband Amplifier For Cryogenic Applications","authors":"Wei-Chi Hsu, Yen-Chung Chiang","doi":"10.1109/ICASI57738.2023.10179535","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179535","url":null,"abstract":"A wideband amplifier designed in a 180-nm SiGe BiCMOS process technology for cryogenic applications is proposed in this conference paper. By using the common-base stage as the input stage and the emitter follower as the final stage, it can have a wideband input/output matching. The proposed amplifier had been test at room temperature by probing test and in a 4K environment by on-board test and it achieved a peak measured gain of 18.95 dB at room temperature and 25 dB gain at 4K. The measured lowest noise Figure (NF) is between 5.8 to 6.4 dB at room temperature. The proposed circuit draws a 13.52 mW dc-power at room temperature and 12.95 mW at 4K from a 2.0-V supply.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123965737","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179566
Chung L. Chang, Hung-Wen Chen
This study proposed a deep learning-based approach to recognize various types of objects in images and generate optimal straight-line segments for mobile robots to perform heading corrections in complex environments. Object detection, based on a circular convolutional network framework, was utilized to identify various objects, such as watering strips, lettuce crops, or field furrows, in both the upper and lower regions of the image. Following the processing of multiple images, the center points of objects belonging to the same category were extracted, and a regression analysis method was used to generate a straight line. The slopes of these line segments are estimated, and the average value is calculated alïer determining the heading angle with the vertical line segment in the image through trigonometric operation. The flexibility and robustness of the straight-line detection system are enhanced by using the proposed approach.
{"title":"Straight-line Generation Approach using Deep Learning for Mobile Robot Guidance in Lettuce Fields","authors":"Chung L. Chang, Hung-Wen Chen","doi":"10.1109/ICASI57738.2023.10179566","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179566","url":null,"abstract":"This study proposed a deep learning-based approach to recognize various types of objects in images and generate optimal straight-line segments for mobile robots to perform heading corrections in complex environments. Object detection, based on a circular convolutional network framework, was utilized to identify various objects, such as watering strips, lettuce crops, or field furrows, in both the upper and lower regions of the image. Following the processing of multiple images, the center points of objects belonging to the same category were extracted, and a regression analysis method was used to generate a straight line. The slopes of these line segments are estimated, and the average value is calculated alïer determining the heading angle with the vertical line segment in the image through trigonometric operation. The flexibility and robustness of the straight-line detection system are enhanced by using the proposed approach.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114654069","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179499
Muhammad Usman, Chun-Ling Lin
Fifteen novices completed a Zentangle task while their brain activity was measured with electroencephalography (EEG) and their concentration emotional state, stress, and anxiety levels were evaluated with questionnaires. The study found increased activity in theta, alpha, beta, and gamma ranges associated with relaxation, focus, and mental activity. Participants reported improved concentration, emotional state, and reduced stress and anxiety levels after completing the task, suggesting the potential of Zentangle to enhance cognitive and emotional well-being.
{"title":"Using electroencephalography signals to explore the influence of Zentangle on meditation and mindfulness","authors":"Muhammad Usman, Chun-Ling Lin","doi":"10.1109/ICASI57738.2023.10179499","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179499","url":null,"abstract":"Fifteen novices completed a Zentangle task while their brain activity was measured with electroencephalography (EEG) and their concentration emotional state, stress, and anxiety levels were evaluated with questionnaires. The study found increased activity in theta, alpha, beta, and gamma ranges associated with relaxation, focus, and mental activity. Participants reported improved concentration, emotional state, and reduced stress and anxiety levels after completing the task, suggesting the potential of Zentangle to enhance cognitive and emotional well-being.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125407764","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179590
Yen-Liang Pan, W. Liao, Zi-Yang Wu, Jia-Cing Jhang, Fu-Rong Gu
This paper focuses on the use of Petri nets (PNs) to model a General Dynamics F-16 Fighting Falcon (F-16) missile launching system (MLS). The advances in digital computers and system-integration techniques have made the digitization of fight control computer systems possible. The fourth generation of fighters has used electronic digital signals to launch missiles. The most significant advantage of the digital MLS lies in its ability to cast without depending on the mechanical connecting rod. In other words, digital MLS will not break down due to mechanical failure. As a result, fighter pilots can better focus on their missions. A stable MLS is essential for launching missiles smoothly. Therefore, how to design one stable and easy-to-use MLS is important. In this paper, the authors tried to model and develop a stable MLS using the much easier-to-use Petri nets. One real-world digital MLS is used to verify the model. The experimental results using HPsim reveal that the designed model is correct and practical. Most importantly, the proposed model is much easier to use than the existing literature.
{"title":"Modeling and Enhancement of General Dynamics F-16 Fighting Falcon Missile Launching System Based on Petri Nets","authors":"Yen-Liang Pan, W. Liao, Zi-Yang Wu, Jia-Cing Jhang, Fu-Rong Gu","doi":"10.1109/ICASI57738.2023.10179590","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179590","url":null,"abstract":"This paper focuses on the use of Petri nets (PNs) to model a General Dynamics F-16 Fighting Falcon (F-16) missile launching system (MLS). The advances in digital computers and system-integration techniques have made the digitization of fight control computer systems possible. The fourth generation of fighters has used electronic digital signals to launch missiles. The most significant advantage of the digital MLS lies in its ability to cast without depending on the mechanical connecting rod. In other words, digital MLS will not break down due to mechanical failure. As a result, fighter pilots can better focus on their missions. A stable MLS is essential for launching missiles smoothly. Therefore, how to design one stable and easy-to-use MLS is important. In this paper, the authors tried to model and develop a stable MLS using the much easier-to-use Petri nets. One real-world digital MLS is used to verify the model. The experimental results using HPsim reveal that the designed model is correct and practical. Most importantly, the proposed model is much easier to use than the existing literature.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130271488","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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