Pub Date : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035584
Dongyan Nan, Seungjong Sun, Shreya Gopi, Kwan Min Lee, Jang-Hyun Kim
This research tracked the knowledge frameworks of the Metaverse academic field. To this end, we employed “metaverse” as the keyword to gather articles from Web of Science and performed bibliometric analyses using VOSviewer. Concretely, we explored productive and highly-cited authors, institutes, countries/regions, and journals/conference proceedings. For a deeper understanding of the state of Metaverse research, we also reviewed highly-cited literature and performed keyword-occurrence analysis. Overall, this is one of the first studies providing a comprehensive understanding of knowledge structures in the context of Metaverse research.
本研究追踪了虚拟世界学术领域的知识框架。为此，我们以“metaverse”为关键词，从Web of Science中收集文章，并使用VOSviewer进行文献计量分析。具体地说，我们探索了高产和高被引作者、研究所、国家/地区和期刊/会议记录。为了更深入地了解元宇宙的研究现状，我们还查阅了高被引文献并进行了关键词出现分析。总的来说，这是第一个在元宇宙研究背景下提供对知识结构的全面理解的研究之一。
{"title":"A bibliometric analysis of Metaverse research using VOSviewer","authors":"Dongyan Nan, Seungjong Sun, Shreya Gopi, Kwan Min Lee, Jang-Hyun Kim","doi":"10.1109/IMCOM56909.2023.10035584","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035584","url":null,"abstract":"This research tracked the knowledge frameworks of the Metaverse academic field. To this end, we employed “metaverse” as the keyword to gather articles from Web of Science and performed bibliometric analyses using VOSviewer. Concretely, we explored productive and highly-cited authors, institutes, countries/regions, and journals/conference proceedings. For a deeper understanding of the state of Metaverse research, we also reviewed highly-cited literature and performed keyword-occurrence analysis. Overall, this is one of the first studies providing a comprehensive understanding of knowledge structures in the context of Metaverse research.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"34 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115445444","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035544
Riku Takahashi, Taketoshi Ushiama
With the increase in the number of users on social networking services (SNSs) in the recent times, such services have been widely adopted to gather information. In general, users on SNSs typically use keyword searches to find information on news topics. However, multiple representative keywords are often related to any given topic. Therefore, comprehensively searching for opinions and reactions to news using only keyword search is typically difficult. In this study, we focus on a function implemented on Twitter, as a representative popular SNS, which allows users to reply to others' posts. We propose a method to discover tweets that express opinions and reactions to news topics by using posted news articles and replies as training data for a machine learning model. The model learns the relationship between news articles and replies, which do not necessarily include typical keywords. The proposed model can extract tweets that implicitly reply to news topics without directly replying to any specific post. This work contributes to the literature on social media in terms of understanding news topics and their associated discourse.
{"title":"Extracting Implicit Twitter Replies to News Topics","authors":"Riku Takahashi, Taketoshi Ushiama","doi":"10.1109/IMCOM56909.2023.10035544","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035544","url":null,"abstract":"With the increase in the number of users on social networking services (SNSs) in the recent times, such services have been widely adopted to gather information. In general, users on SNSs typically use keyword searches to find information on news topics. However, multiple representative keywords are often related to any given topic. Therefore, comprehensively searching for opinions and reactions to news using only keyword search is typically difficult. In this study, we focus on a function implemented on Twitter, as a representative popular SNS, which allows users to reply to others' posts. We propose a method to discover tweets that express opinions and reactions to news topics by using posted news articles and replies as training data for a machine learning model. The model learns the relationship between news articles and replies, which do not necessarily include typical keywords. The proposed model can extract tweets that implicitly reply to news topics without directly replying to any specific post. This work contributes to the literature on social media in terms of understanding news topics and their associated discourse.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"681 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116183517","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035582
Yuanyuan Wang
In recent years, many SNS photo-posting sites have become popular, and many users share photos of various spots. On the other hand, the top ranking of the purpose of overseas travel as a form of entertainment is related to sentiment such as relaxation and stress reduction. Previous sentiment-based tourist spot recommendations relied heavily on textual data for sentiment analysis. However, they do not utilize the characteristics of photos showing tourist spots. In particular, color information has its specific image and psychological effects, and using this information in recommending tourist information can affect the senses and sentiments of people. For example, the green provides psychological effects, such as relaxation and healing. Therefore, in this work, we focus on the psychological and sentimental effects on colors and propose a method for generating a pictorial map by extracting color information from SNS photos, analyzing the sentiments of colors, and then combining them with the metadata of the SNS photos. It allows users to intuitively search for the desired spots when traveling for purposes related to their sentiments, such as relaxation or stress reduction, by mapping the photos of tourist spots that match their destinations on the map. Furthermore, it is expected to improve sensory behavior, such as choosing colors for a trip. Finally, we developed a visualization interface for the pictorial map using spot information and tag clouds, and we validated the usefulness of the pictorial map visualization by users through a questionnaire survey.
{"title":"Pictorial Map Generation based on Color Extraction and Sentiment Analysis using SNS Photos","authors":"Yuanyuan Wang","doi":"10.1109/IMCOM56909.2023.10035582","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035582","url":null,"abstract":"In recent years, many SNS photo-posting sites have become popular, and many users share photos of various spots. On the other hand, the top ranking of the purpose of overseas travel as a form of entertainment is related to sentiment such as relaxation and stress reduction. Previous sentiment-based tourist spot recommendations relied heavily on textual data for sentiment analysis. However, they do not utilize the characteristics of photos showing tourist spots. In particular, color information has its specific image and psychological effects, and using this information in recommending tourist information can affect the senses and sentiments of people. For example, the green provides psychological effects, such as relaxation and healing. Therefore, in this work, we focus on the psychological and sentimental effects on colors and propose a method for generating a pictorial map by extracting color information from SNS photos, analyzing the sentiments of colors, and then combining them with the metadata of the SNS photos. It allows users to intuitively search for the desired spots when traveling for purposes related to their sentiments, such as relaxation or stress reduction, by mapping the photos of tourist spots that match their destinations on the map. Furthermore, it is expected to improve sensory behavior, such as choosing colors for a trip. Finally, we developed a visualization interface for the pictorial map using spot information and tag clouds, and we validated the usefulness of the pictorial map visualization by users through a questionnaire survey.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114634770","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035598
Marck Herzon C. Barrion, A. Bandala
The issue of flooding has been one of the common global natural disasters that leads to costly property destruction and hazardous situations. Fortunately, unmanned aerial vehicle imagery advancements have paved the way for assessing flood damages. Raw images taken may further be processed through image segmentation that is done by applying the Fuzzy C-means method. This paper modifies the fast and robust Fuzzy C-means algorithm to account for the issues regarding the need for stronger assumptions on the initial cluster number. Three validity coefficients, namely the Partition Coefficient, Xie and Beni's Index, and the Silhouette Coefficient, were calculated to obtain ideal image partitioning. Applying the proposed algorithm to the aerial images from the AIDER dataset, results have shown how the optimal cluster number varied depending on the elements of the image being segmented. Nonetheless, the algorithm addresses the need for having strong initial assumptions while being able to minimize computational complexity.
{"title":"Modified Fast and Robust Fuzzy C-means Algorithm for Flood Damage Assessment using Optimal Image Segmentation Cluster Number","authors":"Marck Herzon C. Barrion, A. Bandala","doi":"10.1109/IMCOM56909.2023.10035598","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035598","url":null,"abstract":"The issue of flooding has been one of the common global natural disasters that leads to costly property destruction and hazardous situations. Fortunately, unmanned aerial vehicle imagery advancements have paved the way for assessing flood damages. Raw images taken may further be processed through image segmentation that is done by applying the Fuzzy C-means method. This paper modifies the fast and robust Fuzzy C-means algorithm to account for the issues regarding the need for stronger assumptions on the initial cluster number. Three validity coefficients, namely the Partition Coefficient, Xie and Beni's Index, and the Silhouette Coefficient, were calculated to obtain ideal image partitioning. Applying the proposed algorithm to the aerial images from the AIDER dataset, results have shown how the optimal cluster number varied depending on the elements of the image being segmented. Nonetheless, the algorithm addresses the need for having strong initial assumptions while being able to minimize computational complexity.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127204464","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035602
T. P. Van, Van-Nguyen Pham
We introduce a mixed aerial-ground IoT system that monitors widespread events via a wireless sensor network (WSN), and reacts to them with assistance of multiple UAVs. While such an event is spreading out, more UAVs are dispatched in synchronization with its development. The dynamically formed team of UAVs autonomously share the workload of executing jobs in response to the arising event, taking into account the cost of handling. The cost is comprehensively dependent on processing latency, energy consumption, and data exchange. Inspired by the water-pouring idea, we design an iterative job redistribution strategy that progressively approaches to the scheduling optimality. At the same time, a bidding protocol is constructed to let each UAV periodically declare its goodwill to accept new jobs migrating from others. It therefore helps regularly re-adjust the workload imposed on individual UAVs, maintaining the optimality over time. To reduce the overall handling time, the strategy also directs a UAV finishing jobs earlier to be relocated for assisting other members of the team. Numerical results from a simulated system of 10,000 sensors and 37 UAVs deterministically confirm the outperformance of our designed strategy, with respect to energy, latency, fairness and mobilized UAVs.
{"title":"UAV-Integrated IoT System for Handling Widespread Events","authors":"T. P. Van, Van-Nguyen Pham","doi":"10.1109/IMCOM56909.2023.10035602","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035602","url":null,"abstract":"We introduce a mixed aerial-ground IoT system that monitors widespread events via a wireless sensor network (WSN), and reacts to them with assistance of multiple UAVs. While such an event is spreading out, more UAVs are dispatched in synchronization with its development. The dynamically formed team of UAVs autonomously share the workload of executing jobs in response to the arising event, taking into account the cost of handling. The cost is comprehensively dependent on processing latency, energy consumption, and data exchange. Inspired by the water-pouring idea, we design an iterative job redistribution strategy that progressively approaches to the scheduling optimality. At the same time, a bidding protocol is constructed to let each UAV periodically declare its goodwill to accept new jobs migrating from others. It therefore helps regularly re-adjust the workload imposed on individual UAVs, maintaining the optimality over time. To reduce the overall handling time, the strategy also directs a UAV finishing jobs earlier to be relocated for assisting other members of the team. Numerical results from a simulated system of 10,000 sensors and 37 UAVs deterministically confirm the outperformance of our designed strategy, with respect to energy, latency, fairness and mobilized UAVs.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121493569","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035659
Young-Ji Chi, Jang-Hyun Kim, Seungjong Sun
Sexual minorities are increasingly gaining social visibility and legal rights guarantees at the constitutional level across much of the world, from South America, the United States, and Europe to Japan, Taiwan, and Thailand. At the same time, the COVID-19 pandemic has brought on significant mental health challenges for the public due to accompanying social and economic impact and measures, most of them adverse. Given pre-existing studies highlighting the minority demographic's vulnerability to depression and other mental health symptoms, and the increasing availability of accessible NLP tools, datasets, and models, this paper uses an emotional classification model to analyze emotional trends in queer communities on social media. Using KoBERT with a pre-labelled dataset containing some forty thousand scraped social media posts labelled with emotions, patterns of emotional expression on Twitter in the queer community is revealed. Resulting data provided a validation of the viability of this method of analyzing trends in negative and positive emotional expression as well as the impact COVID-19 had on online queer communities in early 2020 but revealed limitations.
{"title":"Korean Language NLP Model Based Emotional Analysis of LGBTQ Social Media Communities","authors":"Young-Ji Chi, Jang-Hyun Kim, Seungjong Sun","doi":"10.1109/IMCOM56909.2023.10035659","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035659","url":null,"abstract":"Sexual minorities are increasingly gaining social visibility and legal rights guarantees at the constitutional level across much of the world, from South America, the United States, and Europe to Japan, Taiwan, and Thailand. At the same time, the COVID-19 pandemic has brought on significant mental health challenges for the public due to accompanying social and economic impact and measures, most of them adverse. Given pre-existing studies highlighting the minority demographic's vulnerability to depression and other mental health symptoms, and the increasing availability of accessible NLP tools, datasets, and models, this paper uses an emotional classification model to analyze emotional trends in queer communities on social media. Using KoBERT with a pre-labelled dataset containing some forty thousand scraped social media posts labelled with emotions, patterns of emotional expression on Twitter in the queer community is revealed. Resulting data provided a validation of the viability of this method of analyzing trends in negative and positive emotional expression as well as the impact COVID-19 had on online queer communities in early 2020 but revealed limitations.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131957666","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035541
Kent Bryant Jimenez, A. Cera, Nicko Ceblano, Roxcella Reas, A. Bandala, Ronnie S. Concepcion, Adrian Genevie G. Janairo, Mike Louie C. Enriquez, A. Mayol, R. R. Vicerra, E. Dadios
Stroke is one of the primary causes of aphasia in the world. This deficit doesn't include their ability to think but, their lack of way to communicate degrades an aphasic patient's personhood. Speech-language therapy is the known treatment for aphasia. The different levels of severity and personal acceptance of patients greatly contribute to the complexity of treatment application. These factors challenge the general approach of speech and language therapy for aphasia rehabilitation. One factor that greatly solve this challenge is social engagement, but this approach becomes limited to lower severe cases where they have better capability to exercise their communication skills even outside treatment. The use of Augmentative and Alternative Communication devices was established to promote significant improvements of linguistic skills in aphasic patients, but AAC devices are not accessible to most patients and aphasia clinicians and researchers are not experts in the field of its working technology. This study developed an augmentative and alternative communication (ACC) device with materials that are market-available and with open-source software for device manipulation. These contributes to removing the barrier of limited help of technology for treating aphasia. The ACCstive Touchpad were made with the basic necessary features that an ACC device must have such as personalized bank of word and phrases that they could use outside of therapy. With the string and speech tests made with aphasic patients, the devices were concluded to be user-friendly. While with the character test, aphasic patients could decide if they would desire a keyboard with more buttons.
{"title":"AACstive Touchpad: An Electronic Augmentative and Alternative Communication Touchpad for Post-Stroke Aphasic Patients Basic Support","authors":"Kent Bryant Jimenez, A. Cera, Nicko Ceblano, Roxcella Reas, A. Bandala, Ronnie S. Concepcion, Adrian Genevie G. Janairo, Mike Louie C. Enriquez, A. Mayol, R. R. Vicerra, E. Dadios","doi":"10.1109/IMCOM56909.2023.10035541","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035541","url":null,"abstract":"Stroke is one of the primary causes of aphasia in the world. This deficit doesn't include their ability to think but, their lack of way to communicate degrades an aphasic patient's personhood. Speech-language therapy is the known treatment for aphasia. The different levels of severity and personal acceptance of patients greatly contribute to the complexity of treatment application. These factors challenge the general approach of speech and language therapy for aphasia rehabilitation. One factor that greatly solve this challenge is social engagement, but this approach becomes limited to lower severe cases where they have better capability to exercise their communication skills even outside treatment. The use of Augmentative and Alternative Communication devices was established to promote significant improvements of linguistic skills in aphasic patients, but AAC devices are not accessible to most patients and aphasia clinicians and researchers are not experts in the field of its working technology. This study developed an augmentative and alternative communication (ACC) device with materials that are market-available and with open-source software for device manipulation. These contributes to removing the barrier of limited help of technology for treating aphasia. The ACCstive Touchpad were made with the basic necessary features that an ACC device must have such as personalized bank of word and phrases that they could use outside of therapy. With the string and speech tests made with aphasic patients, the devices were concluded to be user-friendly. While with the character test, aphasic patients could decide if they would desire a keyboard with more buttons.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"424 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133766000","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035615
Yoga Pristyanto, A. F. Nugraha, Rifda Faticha Alfa Aziza, Ibnu Hadi Purwanto, Mulia Sulistiyono, Akhmad Dahlan
A phenomenon known as “class imbalance” occurs when an excessive number of classes are evaluated in relation to other classes. This circumstance is quite common in the challenges that classification modeling is used to in the actual world. Because of the influence of class imbalance on the dataset, the classification model's performance is not at its highest possible level. In addition, the presence of these factors might make the possibility of incorrect categorization greater. Utilizing an ensemble model is one approach that may be used to resolve this issue. The originality of the dataset is preserved, which is one of the many benefits of this method. In this work, three different types of ensemble models-XGBoost, Stacking, and Bagging-were examined and contrasted. All three were put through their paces using five distinct unbalanced multiclass datasets, each with a different value for the imbalanced ratio. The results of the three experiments that used five different assessment indicators reveal that the XGBoost model performs much better than the Bagging and Stacking models when it comes to overall performance. The XGBoost model performs exceptionally well in all of the indicators that were evaluated, including Balanced Accuracy, True Positive Rate, True Negative Rate, Geometric Mean, and Multiclass Area Under Curve. These findings provide more evidence that XGBoost is a viable option for addressing multiclass unbalanced issues in datasets.
{"title":"Comparison of Ensemble Models as Solutions for Imbalanced Class Classification of Datasets","authors":"Yoga Pristyanto, A. F. Nugraha, Rifda Faticha Alfa Aziza, Ibnu Hadi Purwanto, Mulia Sulistiyono, Akhmad Dahlan","doi":"10.1109/IMCOM56909.2023.10035615","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035615","url":null,"abstract":"A phenomenon known as “class imbalance” occurs when an excessive number of classes are evaluated in relation to other classes. This circumstance is quite common in the challenges that classification modeling is used to in the actual world. Because of the influence of class imbalance on the dataset, the classification model's performance is not at its highest possible level. In addition, the presence of these factors might make the possibility of incorrect categorization greater. Utilizing an ensemble model is one approach that may be used to resolve this issue. The originality of the dataset is preserved, which is one of the many benefits of this method. In this work, three different types of ensemble models-XGBoost, Stacking, and Bagging-were examined and contrasted. All three were put through their paces using five distinct unbalanced multiclass datasets, each with a different value for the imbalanced ratio. The results of the three experiments that used five different assessment indicators reveal that the XGBoost model performs much better than the Bagging and Stacking models when it comes to overall performance. The XGBoost model performs exceptionally well in all of the indicators that were evaluated, including Balanced Accuracy, True Positive Rate, True Negative Rate, Geometric Mean, and Multiclass Area Under Curve. These findings provide more evidence that XGBoost is a viable option for addressing multiclass unbalanced issues in datasets.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132945840","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035600
Takashi Ito
In evolution, Genetic programming (GP) is proposed to obtain suitable action rules for a target problem. Because action rules are expressed in a tree structure, their meaning is easily understandable. In addition, GP with multiple tree structures has been proposed for agent learning, and a method has been proposed to decide the number of multiple trees that must be set to individuals for each target problem during evolution. In this study, we focused on an algorithm to search for the suitable number of multiple trees in evolution and introduced a method for generating individuals with conditional probability to improve performance.
{"title":"Improved Evolution Performance for Genetic Programming with Method to Search Numbers of Trees","authors":"Takashi Ito","doi":"10.1109/IMCOM56909.2023.10035600","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035600","url":null,"abstract":"In evolution, Genetic programming (GP) is proposed to obtain suitable action rules for a target problem. Because action rules are expressed in a tree structure, their meaning is easily understandable. In addition, GP with multiple tree structures has been proposed for agent learning, and a method has been proposed to decide the number of multiple trees that must be set to individuals for each target problem during evolution. In this study, we focused on an algorithm to search for the suitable number of multiple trees in evolution and introduced a method for generating individuals with conditional probability to improve performance.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562800","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 : 2023-01-03DOI: 10.1109/IMCOM56909.2023.10035652
A. Oukaira, Dhaou Said, J. Zbitou, A. Lakhssassi
We present in this paper a new modified version of the System-in-Package (SiP) model based on three-layer chips. The idea is to add copper layers permitting to take up its thermal dissipation and to investigate the thermal performance we have used Finite Element Method (FEM) analyses with COMSOL Multiphysics®. The temperature variation in the numerical simulation shows that the maximum temperature value is decreasing with a flat temperature distribution compared to the traditional model. Moreover, in terms of the thermal conduction performance, the thermal management of the system packaging, Chip-Cooling-Laminate-Chip (CCLC) is achieving high reliability and resolution with low-cost micro-devices especially for the micro-medicine applications, when the temperature maximum in the chips is reduced by 64%.
{"title":"Finite Element Method for System-in-Package (SiP) Technology: Thermal Analysis Using Chip Cooling Laminate Chip (CCLC)","authors":"A. Oukaira, Dhaou Said, J. Zbitou, A. Lakhssassi","doi":"10.1109/IMCOM56909.2023.10035652","DOIUrl":"https://doi.org/10.1109/IMCOM56909.2023.10035652","url":null,"abstract":"We present in this paper a new modified version of the System-in-Package (SiP) model based on three-layer chips. The idea is to add copper layers permitting to take up its thermal dissipation and to investigate the thermal performance we have used Finite Element Method (FEM) analyses with COMSOL Multiphysics®. The temperature variation in the numerical simulation shows that the maximum temperature value is decreasing with a flat temperature distribution compared to the traditional model. Moreover, in terms of the thermal conduction performance, the thermal management of the system packaging, Chip-Cooling-Laminate-Chip (CCLC) is achieving high reliability and resolution with low-cost micro-devices especially for the micro-medicine applications, when the temperature maximum in the chips is reduced by 64%.","PeriodicalId":230213,"journal":{"name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114403538","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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