Pub Date : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179599
Ruei-Hau Hsu, Bo Chen, Cheng-Jie Dai
As communication and high-speed internet make it easy to spread fake news on social media, scholars propose methods to detect it. However, existing approaches have limitations, such as reduced effectiveness without user information and high computational costs. Our proposed method, based on temporal and communication networks, is mainly used in the context of lack of user-related data and large textual datasets such as social media, forums, and online news. In sparse data settings, our proposed method can capture the propagation features of fake news for fake news detection, which is a feature extraction method based on building a propagation network for fake news detection. By studying the propagation pattern of fake news on social media, we obtain features belonging to the propagation network and test the source tweets using various machine learning classifiers. We also conduct experiments on realistic datasets to validate the method’s feasibility in social network scenarios.
{"title":"Intelligent Detection of Disinformation Based on Chronological and Spatial Topologies","authors":"Ruei-Hau Hsu, Bo Chen, Cheng-Jie Dai","doi":"10.1109/ICASI57738.2023.10179599","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179599","url":null,"abstract":"As communication and high-speed internet make it easy to spread fake news on social media, scholars propose methods to detect it. However, existing approaches have limitations, such as reduced effectiveness without user information and high computational costs. Our proposed method, based on temporal and communication networks, is mainly used in the context of lack of user-related data and large textual datasets such as social media, forums, and online news. In sparse data settings, our proposed method can capture the propagation features of fake news for fake news detection, which is a feature extraction method based on building a propagation network for fake news detection. By studying the propagation pattern of fake news on social media, we obtain features belonging to the propagation network and test the source tweets using various machine learning classifiers. We also conduct experiments on realistic datasets to validate the method’s feasibility in social network scenarios.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"59 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":"114039987","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/ICASI57738.2023.10179573
Jia-Jhe Song, Yung-Fang Chen
In this paper, we apply deep learning-based (DL) approach to solve the hybrid precoding and combining design problem in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. After training process, we feed testing data set into neural network (NN) and obtain phases of RF analog precoders and combiners. Given a RF analog precoder, we can acquire baseband precoders by using least square solution and the similar way is applied to RF analog combiner to acquire baseband combiner. As indicated in the simulation results for the evaluated spectral efficiency based on the outputs of DNN, it shows that the performance of our method is competitive.
{"title":"Deep Learning-based Hybrid Precoding and Combining Designs for Millimeter Wave MIMO Systems","authors":"Jia-Jhe Song, Yung-Fang Chen","doi":"10.1109/ICASI57738.2023.10179573","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179573","url":null,"abstract":"In this paper, we apply deep learning-based (DL) approach to solve the hybrid precoding and combining design problem in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. After training process, we feed testing data set into neural network (NN) and obtain phases of RF analog precoders and combiners. Given a RF analog precoder, we can acquire baseband precoders by using least square solution and the similar way is applied to RF analog combiner to acquire baseband combiner. As indicated in the simulation results for the evaluated spectral efficiency based on the outputs of DNN, it shows that the performance of our method is competitive.","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":"129249639","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/ICASI57738.2023.10179591
J. Lin, Cheng-Jen Lin, Hong-Sheng Cai
This study researches and develops the new electric vehicle rearview mirror system of the intelligent network system. It has dual spindles to select the direction of rotation. Its functions include: (1) In addition to developing electric rearview mirrors for electric vehicles, it is equipped with memory motors, which can memorize at least 3 sets of positions. To provide the electric rearview mirror memory angle for electric vehicle driving, you can choose outside the rearview mirror angle and can memorize up to 3 sets of angles, which guarantees the initial safe driving angle of electric vehicle driving. (2) The second rotation axis design, linked driving steering wheel device can provide the rearview mirror to adjust the angle of view direction synchronously when the electric vehicle is driving and turning, so as to ensure that the steering has no dead angle design. After various tests, the error values of the designed control parameters are all below 3%, reaching and safe setting.
{"title":"Research and development of new electric vehicle rearview mirror system with intelligent networking system","authors":"J. Lin, Cheng-Jen Lin, Hong-Sheng Cai","doi":"10.1109/ICASI57738.2023.10179591","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179591","url":null,"abstract":"This study researches and develops the new electric vehicle rearview mirror system of the intelligent network system. It has dual spindles to select the direction of rotation. Its functions include: (1) In addition to developing electric rearview mirrors for electric vehicles, it is equipped with memory motors, which can memorize at least 3 sets of positions. To provide the electric rearview mirror memory angle for electric vehicle driving, you can choose outside the rearview mirror angle and can memorize up to 3 sets of angles, which guarantees the initial safe driving angle of electric vehicle driving. (2) The second rotation axis design, linked driving steering wheel device can provide the rearview mirror to adjust the angle of view direction synchronously when the electric vehicle is driving and turning, so as to ensure that the steering has no dead angle design. After various tests, the error values of the designed control parameters are all below 3%, reaching and safe setting.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"84 9 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":"131069862","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/ICASI57738.2023.10179593
Hsin Hsueh Chen, Kuo-Chan Huang
We introduce deep reinforcement learning (DRL) into a Taiwanese mahjong program, and compare the pros and cons of traditional tree search methods and DRL in terms of effectiveness and efficiency. Our DRL-based program aims to learn good strategies comparable to the state-of-the-art Taiwanese mahjong program Verylongcat, and has demonstrated effective learning capability in the experiments. Moreover, the required computation time of our DRL-based program is significantly lower than the Verylongcat version, bringing great advantage in time-limited tournaments.
{"title":"An Empirical Evaluation of Applying Deep Reinforcement Learning to Taiwanese Mahjong Programs","authors":"Hsin Hsueh Chen, Kuo-Chan Huang","doi":"10.1109/ICASI57738.2023.10179593","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179593","url":null,"abstract":"We introduce deep reinforcement learning (DRL) into a Taiwanese mahjong program, and compare the pros and cons of traditional tree search methods and DRL in terms of effectiveness and efficiency. Our DRL-based program aims to learn good strategies comparable to the state-of-the-art Taiwanese mahjong program Verylongcat, and has demonstrated effective learning capability in the experiments. Moreover, the required computation time of our DRL-based program is significantly lower than the Verylongcat version, bringing great advantage in time-limited tournaments.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"10 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":"127821125","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/ICASI57738.2023.10179545
Ming-Yang Su, Yu-Hung Lu, Hung-Yang Lu, Yu-Shih Lian, Kangshao Peng
This paper presents a security system that uses the built-in Virtual Private Networks (VPN) mechanism on Android to monitor the Uniform Resource Locators (URLs) linked to when apps are executed. Then, the proposed system sends the URLs to VirusTotal, a third-party security website for evaluation. Finally, the security score of each URL is presented to the smartphone user, providing them the choice to decide whether to remove an app with security concerns.
{"title":"An URL Protection Approach for Apps on Smartphone by Built-in VPN Mechanism","authors":"Ming-Yang Su, Yu-Hung Lu, Hung-Yang Lu, Yu-Shih Lian, Kangshao Peng","doi":"10.1109/ICASI57738.2023.10179545","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179545","url":null,"abstract":"This paper presents a security system that uses the built-in Virtual Private Networks (VPN) mechanism on Android to monitor the Uniform Resource Locators (URLs) linked to when apps are executed. Then, the proposed system sends the URLs to VirusTotal, a third-party security website for evaluation. Finally, the security score of each URL is presented to the smartphone user, providing them the choice to decide whether to remove an app with security concerns.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"143 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":"131353550","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/ICASI57738.2023.10179526
Yu-Jie Chung, Shen-Li Chen, Xing-Chen Mai, Ting-En Lin, Xiu-Yuan Yang
This paper uses TCAD to simulate the modulation of a 0.18-μm 60 V nLDMOS device with a floating P+ embedded in the drain side by dividing the drain side into one-half and embedding the floating P+ near the drain outer side, which will increase the P+-zone length in different modes.The simulation is carried out with an input current of 1E-5 amps, and the trigger voltage, breakdown voltage, and electric field of the devices can be obtained from the TCAD simulation. By embedding the floating P+, it was found that the electric field could be reduced and the breakdown voltage of the device could be increased. In the design, the floating P+ with a length of 9 μm is embedded in the drain outer side, and the breakdown voltage is increased from 96.42 V to 119.29 V, so that the ESD immunity of the device can be improved.
{"title":"Robust ESD Capability of High-voltage nLDMOSs with Embedded Floating P+ Structures in the Drain Side","authors":"Yu-Jie Chung, Shen-Li Chen, Xing-Chen Mai, Ting-En Lin, Xiu-Yuan Yang","doi":"10.1109/ICASI57738.2023.10179526","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179526","url":null,"abstract":"This paper uses TCAD to simulate the modulation of a 0.18-μm 60 V nLDMOS device with a floating P+ embedded in the drain side by dividing the drain side into one-half and embedding the floating P+ near the drain outer side, which will increase the P+-zone length in different modes.The simulation is carried out with an input current of 1E-5 amps, and the trigger voltage, breakdown voltage, and electric field of the devices can be obtained from the TCAD simulation. By embedding the floating P+, it was found that the electric field could be reduced and the breakdown voltage of the device could be increased. In the design, the floating P+ with a length of 9 μm is embedded in the drain outer side, and the breakdown voltage is increased from 96.42 V to 119.29 V, so that the ESD immunity of the device can be improved.","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":"129471987","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/ICASI57738.2023.10179581
Shi-Jim Yen, Ken-Wen Lee
Black Go, a game similar to Go, uses Tetris-like pieces and can teach complex Go logic through a fun and easy game process. Monte Carlo tree search can be used to design Block Go programs, and machine learning techniques can train game records and obtain useful game patterns. The paper discusses how to develop a pattern database on Block Go and its performance on Monte Carlo tree search to create a good Block Go program.
{"title":"Monte Carlo Tree Search and Machine Learning Techniques on Block Go Programs","authors":"Shi-Jim Yen, Ken-Wen Lee","doi":"10.1109/ICASI57738.2023.10179581","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179581","url":null,"abstract":"Black Go, a game similar to Go, uses Tetris-like pieces and can teach complex Go logic through a fun and easy game process. Monte Carlo tree search can be used to design Block Go programs, and machine learning techniques can train game records and obtain useful game patterns. The paper discusses how to develop a pattern database on Block Go and its performance on Monte Carlo tree search to create a good Block Go program.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"50 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":"132538644","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/ICASI57738.2023.10179508
Hsin-Chun Lee, Chen-Yu Pan, H. Hsu
The factors of indoor air quality are affected by the density of people, the size and time of opening the door, and the arrangement of the air inlet and outlet of the ventilation equipment. We found that the optimal CO2 of the cross opening was reduced by 109.7 ppm/min through CO2 concentration detection. However, natural ventilation can result in higher indoor temperatures. Therefore, this study increases mechanical ventilation equipment and explores natural and mechanical ventilation to achieve ventilation energy saving.
{"title":"Indoor Air Quality and Improvement Strategies of Using Mechanical Ventilation in Confined Spaces","authors":"Hsin-Chun Lee, Chen-Yu Pan, H. Hsu","doi":"10.1109/ICASI57738.2023.10179508","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179508","url":null,"abstract":"The factors of indoor air quality are affected by the density of people, the size and time of opening the door, and the arrangement of the air inlet and outlet of the ventilation equipment. We found that the optimal CO2 of the cross opening was reduced by 109.7 ppm/min through CO2 concentration detection. However, natural ventilation can result in higher indoor temperatures. Therefore, this study increases mechanical ventilation equipment and explores natural and mechanical ventilation to achieve ventilation energy saving.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 4 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":"116578713","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/ICASI57738.2023.10179589
Kuo-Guan Wu, Cheng-Feng Lai, Min-Kuan Chang
Point cloud registration involves the task of finding the alignment between pairs of point clouds. Recently, deep learning-based approaches have been shown to achieve more accurate results due to the enhanced feature extraction and correspondence matching mechanisms. Most of the deep learning-based approaches estimate the registration parameters directly without explicitly estimating correspondences. Instead, the correspondences are learned implicitly while networks are trained, and the loss functions used are mostly related to errors of registration parameters. RPMNet, one of the state-of-the-art registration methods, includes an additional component in the loss function to maximize the sum of inlier probabilities in order to prevent the problem of labeling most points as outliers. In this paper, we propose to improve the RPMNet through the modification of the loss function by replacing the sum of inlier probabilities with the sum of maximal matching probabilities, with the purpose of increasing the probability of correct correspondence and thus enhancing the registration performance. Simulation results demonstrate that an order of magnitude improvement can be achieved by the proposed method.
{"title":"On the improvement of RPMNet for deep learning-based point cloud registration using a modified loss function","authors":"Kuo-Guan Wu, Cheng-Feng Lai, Min-Kuan Chang","doi":"10.1109/ICASI57738.2023.10179589","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179589","url":null,"abstract":"Point cloud registration involves the task of finding the alignment between pairs of point clouds. Recently, deep learning-based approaches have been shown to achieve more accurate results due to the enhanced feature extraction and correspondence matching mechanisms. Most of the deep learning-based approaches estimate the registration parameters directly without explicitly estimating correspondences. Instead, the correspondences are learned implicitly while networks are trained, and the loss functions used are mostly related to errors of registration parameters. RPMNet, one of the state-of-the-art registration methods, includes an additional component in the loss function to maximize the sum of inlier probabilities in order to prevent the problem of labeling most points as outliers. In this paper, we propose to improve the RPMNet through the modification of the loss function by replacing the sum of inlier probabilities with the sum of maximal matching probabilities, with the purpose of increasing the probability of correct correspondence and thus enhancing the registration performance. Simulation results demonstrate that an order of magnitude improvement can be achieved by the proposed method.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"55 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":"122979587","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/ICASI57738.2023.10179531
Chun-Chieh Chang, Jun-Ren Chen, S. Ueng
Concealed pipes are widely used to transport water, air, natural gas, and sewage in buildings. In this paper, we propose an algorithm for designing concealed pipes in buildings such that the productivity of construction industry is enhanced. When routing concealed pipes in a building, the walls, floors, and ceilings form the workspace of the piping computation. We treat these slabs as vertices and generate edges between them, based on their connectivity. Consequently, the frame of the building is encoded in a graph, which constitutes the top-level representation of the workspace. Then all the slabs are divided into voxels by using regular grids, and the bottom-level representation of the workspace is created. The pathfinding of a pipe is carried out in two stages. First, the routing process generates a shortest path in the top-level graph to identify the slabs penetrated by the pipe. Then, the routing process creates the detail pipe path by using the voxels of these slabs in the bottom-level representation. Once this pipe has been constructed, the voxels occupied by it are deleted from the workspace and the routing computation is repeated to arrange other pipes.
{"title":"Automatic Pipe Routing in Buildings","authors":"Chun-Chieh Chang, Jun-Ren Chen, S. Ueng","doi":"10.1109/ICASI57738.2023.10179531","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179531","url":null,"abstract":"Concealed pipes are widely used to transport water, air, natural gas, and sewage in buildings. In this paper, we propose an algorithm for designing concealed pipes in buildings such that the productivity of construction industry is enhanced. When routing concealed pipes in a building, the walls, floors, and ceilings form the workspace of the piping computation. We treat these slabs as vertices and generate edges between them, based on their connectivity. Consequently, the frame of the building is encoded in a graph, which constitutes the top-level representation of the workspace. Then all the slabs are divided into voxels by using regular grids, and the bottom-level representation of the workspace is created. The pathfinding of a pipe is carried out in two stages. First, the routing process generates a shortest path in the top-level graph to identify the slabs penetrated by the pipe. Then, the routing process creates the detail pipe path by using the voxels of these slabs in the bottom-level representation. Once this pipe has been constructed, the voxels occupied by it are deleted from the workspace and the routing computation is repeated to arrange other pipes.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"114 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":"124533675","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：