Pub Date : 2023-07-17DOI: 10.1109/ICCE-Taiwan58799.2023.10226785
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, M. Haseyama
One effective approach to improving the performance of cross-modal retrieval is to fine-tune a pre-trained cross-modal model. However, conventional fine-tuning approaches usually require plenty of computational resources. To alleviate such a requirement, we propose a parameter-efficient tuning method of a pre-trained model via prompt learning for cross-modal retrieval. Obtaining inspiration from the prompt learning technique in natural language processing, our method constructs a multidimensional vector as a prompt for the cross-modal retrieval, and the prompt with a few parameters is optimized to achieve better retrieval performance. We conducted experiments on the open dataset, and the results verify that our proposed method is effective and parameter-efficient.
{"title":"Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval","authors":"Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, M. Haseyama","doi":"10.1109/ICCE-Taiwan58799.2023.10226785","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226785","url":null,"abstract":"One effective approach to improving the performance of cross-modal retrieval is to fine-tune a pre-trained cross-modal model. However, conventional fine-tuning approaches usually require plenty of computational resources. To alleviate such a requirement, we propose a parameter-efficient tuning method of a pre-trained model via prompt learning for cross-modal retrieval. Obtaining inspiration from the prompt learning technique in natural language processing, our method constructs a multidimensional vector as a prompt for the cross-modal retrieval, and the prompt with a few parameters is optimized to achieve better retrieval performance. We conducted experiments on the open dataset, and the results verify that our proposed method is effective and parameter-efficient.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"110 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":"116255690","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-Taiwan58799.2023.10226786
The media plays a pivotal role in sports competitions; without it, even the most exciting games would only be known by word of mouth. From the earliest news papers, radio broadcasts to television broadcasts, the constant innovation of media means that the audience's demand is always increasing. Nowadays, in addition to the traditional broadcasting methods, sports science analysis, light sculpture projection, AI communication, avatar …. and other multimedia applications are gradually added to the broadcast of sports events. In addition to the traditional broadcasting methods, sports science analysis, light sculpture projection, AI communication, virtual characters, etc. are gradually added to the broadcast. Under the current wave of multiverse, content is the king, and whoever owns the content will have the audience's attention. In the case of sports event broadcasting, the uniqueness, interactivity, professionalism and entertainment of the content are the parts that attract the audience, not only to heat up the atmosphere of the competition, but also to satisfy the viewing experience of sports fans. Therefore, this study proposes a Mixed Reality (MR) system to integrate sports broadcasting and live events, hoping to make the audience more immersive when watching the games.
{"title":"The Application of Mixed Reality in Sports Event Broadcasting","authors":"","doi":"10.1109/ICCE-Taiwan58799.2023.10226786","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226786","url":null,"abstract":"The media plays a pivotal role in sports competitions; without it, even the most exciting games would only be known by word of mouth. From the earliest news papers, radio broadcasts to television broadcasts, the constant innovation of media means that the audience's demand is always increasing. Nowadays, in addition to the traditional broadcasting methods, sports science analysis, light sculpture projection, AI communication, avatar …. and other multimedia applications are gradually added to the broadcast of sports events. In addition to the traditional broadcasting methods, sports science analysis, light sculpture projection, AI communication, virtual characters, etc. are gradually added to the broadcast. Under the current wave of multiverse, content is the king, and whoever owns the content will have the audience's attention. In the case of sports event broadcasting, the uniqueness, interactivity, professionalism and entertainment of the content are the parts that attract the audience, not only to heat up the atmosphere of the competition, but also to satisfy the viewing experience of sports fans. Therefore, this study proposes a Mixed Reality (MR) system to integrate sports broadcasting and live events, hoping to make the audience more immersive when watching the games.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"127 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":"116507454","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-Taiwan58799.2023.10226839
S. Yamaguchi, Ryutaro Matsumoto
This paper formulates the Smallest Botnet Firewall Building Problem and proposes a heuristic solution based on the Girvan-Newman algorithm. The problem is to build the smallest white-hat botnet as a firewall to prevent the further spread of a malicious botnet. For this problem, a brute-force solution has been proposed, but it requires an enormous amount of computation time as the size of the network increases. The proposed heuristic solution uses the Girvan-Newman algorithm to find communities covering a specified number or more nodes, then computes the minimum cut between each community and the malicious botnet, and finally obtains the number and placement of needed white-hat bots based on the connection of the cuts. The proposed solution yields similar results to the brute-force solution, while significantly reducing the computation time.
{"title":"Smallest Botnet Firewall Building Problem and a Girvan-Newman Algorithm-Based Heuristic Solution","authors":"S. Yamaguchi, Ryutaro Matsumoto","doi":"10.1109/ICCE-Taiwan58799.2023.10226839","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226839","url":null,"abstract":"This paper formulates the Smallest Botnet Firewall Building Problem and proposes a heuristic solution based on the Girvan-Newman algorithm. The problem is to build the smallest white-hat botnet as a firewall to prevent the further spread of a malicious botnet. For this problem, a brute-force solution has been proposed, but it requires an enormous amount of computation time as the size of the network increases. The proposed heuristic solution uses the Girvan-Newman algorithm to find communities covering a specified number or more nodes, then computes the minimum cut between each community and the malicious botnet, and finally obtains the number and placement of needed white-hat bots based on the connection of the cuts. The proposed solution yields similar results to the brute-force solution, while significantly reducing the computation time.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"62 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114013285","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-Taiwan58799.2023.10226705
Ya-Ling Kao, Ying-Wei Wang, Guan-Hua Yu
Air pollution has always been an important issue of concern, especially emissions from transportation. Because the main primary sources of pollutant emissions are PM2.5, NOx and CO, most of them come from "vehicles". According to statistics, the total number of registered motor vehicles in Taiwan is as high as 22.844 million, which means that each citizen owns one motorcycle on average [1]. Therefore, encouraging the use of electric vehicles, or even sharing them, may help to improve the pollution and congestion caused by urban traffic.
{"title":"Intention to Use Shared Electric Scooters in Outlying Islands","authors":"Ya-Ling Kao, Ying-Wei Wang, Guan-Hua Yu","doi":"10.1109/ICCE-Taiwan58799.2023.10226705","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226705","url":null,"abstract":"Air pollution has always been an important issue of concern, especially emissions from transportation. Because the main primary sources of pollutant emissions are PM2.5, NOx and CO, most of them come from \"vehicles\". According to statistics, the total number of registered motor vehicles in Taiwan is as high as 22.844 million, which means that each citizen owns one motorcycle on average [1]. Therefore, encouraging the use of electric vehicles, or even sharing them, may help to improve the pollution and congestion caused by urban traffic.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"171 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":"114733976","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-Taiwan58799.2023.10227024
Tang-Jen Liu, Yung-Ming Tsao, Guan-Qi Chen
This paper introduces a room in a lavatory space with Ultraviolet-C radiation to maintain a sterile environment. Usually, the cleaning and disinfection of a lavatory room is performed by the staff, and users are unaware of which room is in a better condition if there is more than one room available in a lavatory space. In the study, a more efficient disinfection process is used and a display is installed on the door to inform users about the state of the room. With the proposed design, users could have a friendlier experience and each room in the lavatory space might be used more evenly. Furthermore, it could save much time to manage public lavatories if the state of a room updated with real-time detection could be read in the cloud.
{"title":"A Lavatory Space Designed for a User-friendly Experience and Sterile Condition","authors":"Tang-Jen Liu, Yung-Ming Tsao, Guan-Qi Chen","doi":"10.1109/ICCE-Taiwan58799.2023.10227024","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10227024","url":null,"abstract":"This paper introduces a room in a lavatory space with Ultraviolet-C radiation to maintain a sterile environment. Usually, the cleaning and disinfection of a lavatory room is performed by the staff, and users are unaware of which room is in a better condition if there is more than one room available in a lavatory space. In the study, a more efficient disinfection process is used and a display is installed on the door to inform users about the state of the room. With the proposed design, users could have a friendlier experience and each room in the lavatory space might be used more evenly. Furthermore, it could save much time to manage public lavatories if the state of a room updated with real-time detection could be read in the cloud.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"70 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":"124407658","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-Taiwan58799.2023.10226731
Ying-Ren Chien, Han-En Hsieh
Data-selective adaptive algorithms are well-suited for reducing the complexity of weight updating in system identification problems. Nevertheless, impulse noise can obstruct the effectiveness of their data selection schemes. To address this issue, we introduce a sparsity-aware data-selective least mean square (DS-LMS) algorithm that enhances the data selection scheme for sparse system identification in the presence of impulse noise. Our approach was tested through numerical experiments, which confirmed its efficacy.
{"title":"Sparseness-Aware Data-Selective LMS Algorithm","authors":"Ying-Ren Chien, Han-En Hsieh","doi":"10.1109/ICCE-Taiwan58799.2023.10226731","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226731","url":null,"abstract":"Data-selective adaptive algorithms are well-suited for reducing the complexity of weight updating in system identification problems. Nevertheless, impulse noise can obstruct the effectiveness of their data selection schemes. To address this issue, we introduce a sparsity-aware data-selective least mean square (DS-LMS) algorithm that enhances the data selection scheme for sparse system identification in the presence of impulse noise. Our approach was tested through numerical experiments, which confirmed its efficacy.","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":"124453118","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-Taiwan58799.2023.10226742
Li-Chung Yeng, Wei-Tsong Lee, Hsin-Wen Wei
With machine learning models continuously growing in size and short release cycles of GPUs, hardware becomes outdated very soon. To cope with the ever-growing model sizes, we seek out ways to better utilize the computing power we already possess. This paper implements a makespan-aware distributed training framework called Train ‘N’ Play (TNP) to make training on large models and large datasets possible for systems that originally could not accomplish.
{"title":"TNP: A Step Towards Elastic Training","authors":"Li-Chung Yeng, Wei-Tsong Lee, Hsin-Wen Wei","doi":"10.1109/ICCE-Taiwan58799.2023.10226742","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226742","url":null,"abstract":"With machine learning models continuously growing in size and short release cycles of GPUs, hardware becomes outdated very soon. To cope with the ever-growing model sizes, we seek out ways to better utilize the computing power we already possess. This paper implements a makespan-aware distributed training framework called Train ‘N’ Play (TNP) to make training on large models and large datasets possible for systems that originally could not accomplish.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"2 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":"127754959","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}
Wireless 360-degree video is an important application in 5G and beyond. However, 360-degree video consumes huge bandwidth for video transmission so as to deliver the contents of all angles to the user. To reduce bandwidth consumption, tile-based 360-degree video streaming is a promising technique. In this paper, we address two key challenges when designing a tile-based 360-degree video streaming system: (1) How to determine which tiles to transmit and their corresponding quality levels under various bandwidth conditions? (2) How to evaluate the user experience of watching a 360-degree video? We develop a tile selection algorithm for 360-degree video applications which can adapt to bandwidth condition while maintaining low Motion-to-Photon (MTP) latency to reduce cybersickness. Simulation results show the effectiveness of the proposed algorithm.
{"title":"Adaptive Wireless Streaming for Tile-based 360-degree Video","authors":"Chiao-Wen Lin, Yi-Zih Chen, Yong-Siang Wang, Yu-Hsiu Chou, Yu-Ching Yang, Nien-Chen Lin, W. Liao","doi":"10.1109/ICCE-Taiwan58799.2023.10226708","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226708","url":null,"abstract":"Wireless 360-degree video is an important application in 5G and beyond. However, 360-degree video consumes huge bandwidth for video transmission so as to deliver the contents of all angles to the user. To reduce bandwidth consumption, tile-based 360-degree video streaming is a promising technique. In this paper, we address two key challenges when designing a tile-based 360-degree video streaming system: (1) How to determine which tiles to transmit and their corresponding quality levels under various bandwidth conditions? (2) How to evaluate the user experience of watching a 360-degree video? We develop a tile selection algorithm for 360-degree video applications which can adapt to bandwidth condition while maintaining low Motion-to-Photon (MTP) latency to reduce cybersickness. Simulation results show the effectiveness of the proposed algorithm.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"118 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":"128131123","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-Taiwan58799.2023.10226902
Yen-Jung Lin, Su Yen Ding, Cheng-Kai Lu, T. Tang, Jun-Yu Shen
Music is often described as the "language of emotion," and emotion prediction is important as it can impact future behavior. This paper proposes an audio-based emotion prediction model using a One-Dimensional Convolutional Neural Network (1D-CNN) approach, with Mel-Frequency Cepstral Coefficients (MFCCs) extracted as audio features. Preliminary results show an overall accuracy of 93%, but the imbalanced dataset used may cause bias in the accuracy of each emotion. Further research is needed to investigate the classification of audio features and 1D-CNN layers.
{"title":"Emotion Prediction in Music Based on Artificial Intelligence Techniques","authors":"Yen-Jung Lin, Su Yen Ding, Cheng-Kai Lu, T. Tang, Jun-Yu Shen","doi":"10.1109/ICCE-Taiwan58799.2023.10226902","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226902","url":null,"abstract":"Music is often described as the \"language of emotion,\" and emotion prediction is important as it can impact future behavior. This paper proposes an audio-based emotion prediction model using a One-Dimensional Convolutional Neural Network (1D-CNN) approach, with Mel-Frequency Cepstral Coefficients (MFCCs) extracted as audio features. Preliminary results show an overall accuracy of 93%, but the imbalanced dataset used may cause bias in the accuracy of each emotion. Further research is needed to investigate the classification of audio features and 1D-CNN layers.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"9 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":"125719157","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-Taiwan58799.2023.10227020
Guanwei Cheng, Hanbo Wang, Shasha Hao, Dan Tao
Driven by China’s demand of independent high-end software, IT (information technology) innovation gradually comes into people’s lives. In this area, operating system as an important part, its research is bound up with the information security of key sectors in China. Through investigation, Linux-based operating systems urgently need security assistant software to facilitate long-term Windows users. To address this problem, we propose the framework of this software, and introduce its implementation in detail in this paper. First of all, we investigate the needs of users to determine the overall framework of the software and functions’ design. Secondly, we develop the back-end modules to implement preset logical functions, and design the front-end interface to comprehend users’ demands. Finally, we perform the functions of the software on Ubuntu 20.04 to verify the stability and feasibility.
{"title":"Design of security assistant software for domestic IT innovation operating system","authors":"Guanwei Cheng, Hanbo Wang, Shasha Hao, Dan Tao","doi":"10.1109/ICCE-Taiwan58799.2023.10227020","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10227020","url":null,"abstract":"Driven by China’s demand of independent high-end software, IT (information technology) innovation gradually comes into people’s lives. In this area, operating system as an important part, its research is bound up with the information security of key sectors in China. Through investigation, Linux-based operating systems urgently need security assistant software to facilitate long-term Windows users. To address this problem, we propose the framework of this software, and introduce its implementation in detail in this paper. First of all, we investigate the needs of users to determine the overall framework of the software and functions’ design. Secondly, we develop the back-end modules to implement preset logical functions, and design the front-end interface to comprehend users’ demands. Finally, we perform the functions of the software on Ubuntu 20.04 to verify the stability and feasibility.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"42 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":"125762103","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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