Pub Date : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00231
Wei-Jen Lin, Mu-Chun Su, Wei-Yin Cheng, Wen-Yu Cheng
For the visually impaired, "independent living" is the key to rebuild the dignity and self-confidence. In addition to mobility skill, visually impaired memorize where the furniture is in homes. Therefore, moving the furniture or items (e.g. keys, remote control, etc.) around could be confusing and possibly unsafe. This article describes a system that combines deep learning with a camera for visually impaired to identify objects in the space whether it has been moved, such as furniture, important daily necessities, etc. The smart phone app is used to inform the visually impaired about the current location and movement location of all objects. We hope to re-establish a safe, convenient and comfortable indoor environment for the visually impaired through our system.
{"title":"An Assist System for Visually Impaired at Indoor Residential Environment using Faster-RCNN","authors":"Wei-Jen Lin, Mu-Chun Su, Wei-Yin Cheng, Wen-Yu Cheng","doi":"10.1109/IIAI-AAI.2019.00231","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00231","url":null,"abstract":"For the visually impaired, \"independent living\" is the key to rebuild the dignity and self-confidence. In addition to mobility skill, visually impaired memorize where the furniture is in homes. Therefore, moving the furniture or items (e.g. keys, remote control, etc.) around could be confusing and possibly unsafe. This article describes a system that combines deep learning with a camera for visually impaired to identify objects in the space whether it has been moved, such as furniture, important daily necessities, etc. The smart phone app is used to inform the visually impaired about the current location and movement location of all objects. We hope to re-establish a safe, convenient and comfortable indoor environment for the visually impaired through our system.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836634","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00235
J. Lo, Hui-Ying Lin
Recently, it is more and more difficult to make a decision because we receive a large amount of information through the Internet every day. Therefore, the recommender system becomes more and more popular. It can help users making decisions effectively by providing suitable suggestions to users, and those suggestions were processed according to users' browsing history and transaction. Therefore, the development of the recommender system in this research is based on cloud platform and focuses on providing location-based search and intelligent recommendation for resource objects. First, we will automatically through the pre-processing process, crawler technology and APIs provided by social networking sites, and use these data descriptions to enhance data search with correctness. Moreover, we design and build an integrated tourism augmented reality navigation system with recommendation technology and dynamic route planning which covers all tourism activities. The service also provided various valued-added services, such as wikitude Augmented Reality, subject guidance including POI, LOI and SOI, and stored trajectory path of users. Therefore, the user may have a story-based touring guidance while surfing the cultural and historic contents in advance.
{"title":"An Intelligent Touring Recommendation System Using the Deep Learning and Augmented Reality Technology-Case Study of Toucheng Historic Street","authors":"J. Lo, Hui-Ying Lin","doi":"10.1109/IIAI-AAI.2019.00235","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00235","url":null,"abstract":"Recently, it is more and more difficult to make a decision because we receive a large amount of information through the Internet every day. Therefore, the recommender system becomes more and more popular. It can help users making decisions effectively by providing suitable suggestions to users, and those suggestions were processed according to users' browsing history and transaction. Therefore, the development of the recommender system in this research is based on cloud platform and focuses on providing location-based search and intelligent recommendation for resource objects. First, we will automatically through the pre-processing process, crawler technology and APIs provided by social networking sites, and use these data descriptions to enhance data search with correctness. Moreover, we design and build an integrated tourism augmented reality navigation system with recommendation technology and dynamic route planning which covers all tourism activities. The service also provided various valued-added services, such as wikitude Augmented Reality, subject guidance including POI, LOI and SOI, and stored trajectory path of users. Therefore, the user may have a story-based touring guidance while surfing the cultural and historic contents in advance.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554595","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}
In the past twenty years, the internet has changed how governments interact with their citizens. However, there are disparities among different groups of countries when it comes to e-government and e-services. The current article aims to examine the current situation of e-services provided by local government units in Thailand. A purposive sampling technique was used, and a sample of 90 municipal websites was analyzed. The findings show that municipalities in Thailand provide a relatively limited e-services on their websites, implying that the implementation of e-government in the country has not much changed since the dawn of information age.
{"title":"A Survey of Information Disclosure and E-Services Provided by Municipalities in Thailand","authors":"Grichawat Lowatcharin, Supakorn Chaythawil, Lubna Saksabuka, Anucha Somabut, Saksuriya Traiyarach","doi":"10.1109/iiai-aai.2019.00212","DOIUrl":"https://doi.org/10.1109/iiai-aai.2019.00212","url":null,"abstract":"In the past twenty years, the internet has changed how governments interact with their citizens. However, there are disparities among different groups of countries when it comes to e-government and e-services. The current article aims to examine the current situation of e-services provided by local government units in Thailand. A purposive sampling technique was used, and a sample of 90 municipal websites was analyzed. The findings show that municipalities in Thailand provide a relatively limited e-services on their websites, implying that the implementation of e-government in the country has not much changed since the dawn of information age.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129040346","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00097
Alper Kizil, Korhan Karabulut
Quadratic Assignment Problem (QAP) is one of the most difficult combinatorial problems in the literature and has a diverse field of applications. This paper presents the results of experiments on the impact of parallelization of a sequential GA using island model. Both of the genetic algorithms are applied to the QAP. For the island model parallel GA, we systematically change the number of islands and investigate the effects of dividing the same global population into a number of subpopulations. The number of islands is gradually increased to observe the effects on solution quality and speedup in total execution time using different problem instances. The results clearly indicate that, while parallelized version outperforms sequential counterpart in both solution quality and total execution time, an increasing number of subpopulations also positively effects the results until a critical point where every subpopulation has a certain number of individuals to be able to evolve independently. Beyond that point, the performance of the algorithm begins to decrease.
{"title":"Effects of Parameters of an Island Model Parallel Genetic Algorithm for the Quadratic Assignment Problem","authors":"Alper Kizil, Korhan Karabulut","doi":"10.1109/IIAI-AAI.2019.00097","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00097","url":null,"abstract":"Quadratic Assignment Problem (QAP) is one of the most difficult combinatorial problems in the literature and has a diverse field of applications. This paper presents the results of experiments on the impact of parallelization of a sequential GA using island model. Both of the genetic algorithms are applied to the QAP. For the island model parallel GA, we systematically change the number of islands and investigate the effects of dividing the same global population into a number of subpopulations. The number of islands is gradually increased to observe the effects on solution quality and speedup in total execution time using different problem instances. The results clearly indicate that, while parallelized version outperforms sequential counterpart in both solution quality and total execution time, an increasing number of subpopulations also positively effects the results until a critical point where every subpopulation has a certain number of individuals to be able to evolve independently. Beyond that point, the performance of the algorithm begins to decrease.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130966458","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00190
Kazuya Murata
A technique called "Low-Cost Computing" has been attracting public attention in recent years. "Low-Cost Computing" is a method aimed at achieving the same level of performance of expensive commercial equipment or dedicated equipment by combining common, inexpensive equipment, software and services. One example of "Low-Cost Computing" is "virtual currency". Virtual currency often uses "distributed network" as an underlying technology. In a distributed network, data is stored using users' computers rather than a server for centralized data management. In short, virtual currency is realized by using the network to combine the users' computers. We think of this as "Network-Based Low-Cost Computing". There are many services using "Network-Based Low-Cost Computing", and they are becoming the mainstream of modern computers. As opposed to this, we propose "Infrastructure-Based Low-Cost Computing" in this research. "Infrastructure-Based Low-Cost Computing" proposed in this research means "combining commonly available devices and software to propose an environment for teleconference or remote class, and building an infrastructure with equivalent functionality to expensive systems or services". In this research, as the first step of this method, we aim to construct, with "Low-Cost Computing", a low-cost remote class environment which anyone can use. In this paper, we constructed a remote class environment with "Low-Cost Computing", and held classes at Toyo University. At the end of the remote class session, we conducted a survey on the remote class constructed in this research. Based on the survey results, we will summarize and consider the evaluation of remote class environment made available through "Low-Cost Computing".
{"title":"Design of Interactive Remote Class Environment by \"Infrastructure-Based Low-Cost Computing\"","authors":"Kazuya Murata","doi":"10.1109/IIAI-AAI.2019.00190","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00190","url":null,"abstract":"A technique called \"Low-Cost Computing\" has been attracting public attention in recent years. \"Low-Cost Computing\" is a method aimed at achieving the same level of performance of expensive commercial equipment or dedicated equipment by combining common, inexpensive equipment, software and services. One example of \"Low-Cost Computing\" is \"virtual currency\". Virtual currency often uses \"distributed network\" as an underlying technology. In a distributed network, data is stored using users' computers rather than a server for centralized data management. In short, virtual currency is realized by using the network to combine the users' computers. We think of this as \"Network-Based Low-Cost Computing\". There are many services using \"Network-Based Low-Cost Computing\", and they are becoming the mainstream of modern computers. As opposed to this, we propose \"Infrastructure-Based Low-Cost Computing\" in this research. \"Infrastructure-Based Low-Cost Computing\" proposed in this research means \"combining commonly available devices and software to propose an environment for teleconference or remote class, and building an infrastructure with equivalent functionality to expensive systems or services\". In this research, as the first step of this method, we aim to construct, with \"Low-Cost Computing\", a low-cost remote class environment which anyone can use. In this paper, we constructed a remote class environment with \"Low-Cost Computing\", and held classes at Toyo University. At the end of the remote class session, we conducted a survey on the remote class constructed in this research. Based on the survey results, we will summarize and consider the evaluation of remote class environment made available through \"Low-Cost Computing\".","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130686301","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00175
Elisa Indriasari, F. Gaol, T. Matsuo
Discussions related to the Digital Banking (DB) transformation has become the main issues in the industry nowadays. Digital disruption has changed the way peoples do business and perform transactions. However, the bankers still found many problems when performing DB transformation. Main issues on DB transformation are that many banks still assume that digital transformation is about workflows and systems rather than focus on customer experience. Nowadays, Artificial Intelligence (AI) and Big Data Analytics (BDA) have risen and played as an important role in the new banking era. The recent trend of AI and BDA enable banking to be more customer-centric based on data driven. Personalization service becoming an important strategy for leveraging the existing customer engagement, and attracting potential customer become new customers. This study explores the application of AI and BDA in banking for leveraging customer experience. This study used literature review and interviews to gather the data. We interview more than some persons in Indonesia banking industry to get the insight on the implementation of AI and BDA in Indonesia. The paper reveals best practices of the global banking and Indonesian banking, in the implementation of AI & BDA. The contributions of this study are proposed enterprise architecture and recommended digital innovation in AI and BDA that enables banking institutions to leverage customer experiences.
{"title":"Digital Banking Transformation: Application of Artificial Intelligence and Big Data Analytics for Leveraging Customer Experience in the Indonesia Banking Sector","authors":"Elisa Indriasari, F. Gaol, T. Matsuo","doi":"10.1109/IIAI-AAI.2019.00175","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00175","url":null,"abstract":"Discussions related to the Digital Banking (DB) transformation has become the main issues in the industry nowadays. Digital disruption has changed the way peoples do business and perform transactions. However, the bankers still found many problems when performing DB transformation. Main issues on DB transformation are that many banks still assume that digital transformation is about workflows and systems rather than focus on customer experience. Nowadays, Artificial Intelligence (AI) and Big Data Analytics (BDA) have risen and played as an important role in the new banking era. The recent trend of AI and BDA enable banking to be more customer-centric based on data driven. Personalization service becoming an important strategy for leveraging the existing customer engagement, and attracting potential customer become new customers. This study explores the application of AI and BDA in banking for leveraging customer experience. This study used literature review and interviews to gather the data. We interview more than some persons in Indonesia banking industry to get the insight on the implementation of AI and BDA in Indonesia. The paper reveals best practices of the global banking and Indonesian banking, in the implementation of AI & BDA. The contributions of this study are proposed enterprise architecture and recommended digital innovation in AI and BDA that enables banking institutions to leverage customer experiences.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130108868","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00194
Shogo Komatsu, Koichiro Aoki, Chieko Kato
Although questionnaire-based quantitative surveys can be implemented quickly and efficiently for groups, they are also known to have challenges, such as limited contents and skewed results due to intentional responses of the survey targets. In this regard, the projection method can be used to deeply understand the internal aspects of a client, including his/her unconscious side. If the relationship between the questionnaire and the projection methods can be shown and the classification of the psychological aspects that each method measures can be clarified, then the significance of the assessment that combines multiple methods will become more evident. In this study, we conducted a survey by using the combination of the Baum Test and the Group TAT, which was developed for group use based on TAT, one of the projection methods, together with SRS-18, which is a scale to measure stress reaction. We clarified the relationship between the tests and evaluated the psychological aspects covered in each test by analyzing the correlation among the measured aspects. This study was conducted with the cooperation of Kenta Koshimura, Ren Yamamura, and Takuya Oizumi, who are graduates of the Faculty of Information Sciences and Arts Toyo University.
{"title":"Clarification of Relationship between Projective Tests and Questionnaires","authors":"Shogo Komatsu, Koichiro Aoki, Chieko Kato","doi":"10.1109/IIAI-AAI.2019.00194","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00194","url":null,"abstract":"Although questionnaire-based quantitative surveys can be implemented quickly and efficiently for groups, they are also known to have challenges, such as limited contents and skewed results due to intentional responses of the survey targets. In this regard, the projection method can be used to deeply understand the internal aspects of a client, including his/her unconscious side. If the relationship between the questionnaire and the projection methods can be shown and the classification of the psychological aspects that each method measures can be clarified, then the significance of the assessment that combines multiple methods will become more evident. In this study, we conducted a survey by using the combination of the Baum Test and the Group TAT, which was developed for group use based on TAT, one of the projection methods, together with SRS-18, which is a scale to measure stress reaction. We clarified the relationship between the tests and evaluated the psychological aspects covered in each test by analyzing the correlation among the measured aspects. This study was conducted with the cooperation of Kenta Koshimura, Ren Yamamura, and Takuya Oizumi, who are graduates of the Faculty of Information Sciences and Arts Toyo University.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377308","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00101
Happy Aprillia, Chao-Ming Huang, Hong-Tzer Yang
The electric loads of both power system and power consumers have non-stationary and uncertain characteristics that lead to difficulties in constructing an adequate model to accurately predict the load variations. This paper proposes a novel prediction model of short term load forecasting (STLF) for both system load and aggregated load of power consumers customers. The prediction method uses a particle swarm optimization based discrete wavelet transformation in multiple linear regression model (PSO-DWT-MLR) to capture the non-linear relationship between the load demand and the exogenous inputs. PSO was used to select the optimal combination of details and approximations data from DWT to construct an MLR model. Associated with actual weather information, validation of the proposed model is conducted in both system-side data set and end-user data set in Independent System Operator-New England (ISO-NE) and aggregated load data respectively. The results demonstrate that PSO-DWT can boost the performance of MLR for prediction of nonstationary load conditions and can provide more accurate prediction than existing methods.
{"title":"Short Term Load Forecasting Using PSO-DWT-MLR at System and End-User Levels","authors":"Happy Aprillia, Chao-Ming Huang, Hong-Tzer Yang","doi":"10.1109/IIAI-AAI.2019.00101","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00101","url":null,"abstract":"The electric loads of both power system and power consumers have non-stationary and uncertain characteristics that lead to difficulties in constructing an adequate model to accurately predict the load variations. This paper proposes a novel prediction model of short term load forecasting (STLF) for both system load and aggregated load of power consumers customers. The prediction method uses a particle swarm optimization based discrete wavelet transformation in multiple linear regression model (PSO-DWT-MLR) to capture the non-linear relationship between the load demand and the exogenous inputs. PSO was used to select the optimal combination of details and approximations data from DWT to construct an MLR model. Associated with actual weather information, validation of the proposed model is conducted in both system-side data set and end-user data set in Independent System Operator-New England (ISO-NE) and aggregated load data respectively. The results demonstrate that PSO-DWT can boost the performance of MLR for prediction of nonstationary load conditions and can provide more accurate prediction than existing methods.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125350756","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}
Bluetooth Low Energy (BLE) has low power consumption, low cost, faster connection speed, and is extremely easy to deploy. The Beacon function in BLE is the basis for providing indoor positioning. Also, most of today's smart devices have Bluetooth, and all support Bluetooth 4.0 or higher, so BLE is very suitable for indoor positioning of smart devices. In addition to being able to be used for indoor positioning, the Beacon actively broadcasts its Beacon signaling regularly. Such a function can be used for advertising promotion in a designated area. Further, if a Beacon message contains the Uniform Resource Locator (URL) represents an Internet of Things (IoT) device, such a device can be called Web IoT device. It can be seen from the above that BLE's indoor positioning system can not only achieve positioning but also expand the characteristics to provide more diverse application services so that the positioning system has better value. Therefore, this paper takes the shopping mall as an example to implement the application service of integrating the Web IoT and BLE indoor positioning system to provide consumers with more application services, including indoor positioning, advertising push, and Coupon collection and use, Web IoT device display and trial and so on.
{"title":"An Integrated Indoor Positioning System with Web Internet of Things","authors":"Jian-Wei Li, Yi-Chun Chang, Wei-Hsiang Hsu, Hong-Ming Shih","doi":"10.1109/IIAI-AAI.2019.00022","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00022","url":null,"abstract":"Bluetooth Low Energy (BLE) has low power consumption, low cost, faster connection speed, and is extremely easy to deploy. The Beacon function in BLE is the basis for providing indoor positioning. Also, most of today's smart devices have Bluetooth, and all support Bluetooth 4.0 or higher, so BLE is very suitable for indoor positioning of smart devices. In addition to being able to be used for indoor positioning, the Beacon actively broadcasts its Beacon signaling regularly. Such a function can be used for advertising promotion in a designated area. Further, if a Beacon message contains the Uniform Resource Locator (URL) represents an Internet of Things (IoT) device, such a device can be called Web IoT device. It can be seen from the above that BLE's indoor positioning system can not only achieve positioning but also expand the characteristics to provide more diverse application services so that the positioning system has better value. Therefore, this paper takes the shopping mall as an example to implement the application service of integrating the Web IoT and BLE indoor positioning system to provide consumers with more application services, including indoor positioning, advertising push, and Coupon collection and use, Web IoT device display and trial and so on.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128780981","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 : 2019-07-01DOI: 10.1109/IIAI-AAI.2019.00035
Ryosuke Suzuki, Tadachika Ozono, T. Shintani
The diffusion of the Augmented Reality framework has facilitated the implementation of a support system for a real world task. This paper introduces a system that supports the Mahjong game for beginners. However, it is difficult to calculate the score for beginners in the real Mahjong game. We develop an offline system to get the score by recognizing the Mahjong tiles. This is a difficult task because Mahjong tiles have classes and attributes that are the context of their positions. The system needs context-aware image recognition. The system detected tiles using OpenCV and Convolutional Neural Network to classify them and self-localization indirectly found in attributes. The experimental results show that the system can be used effectively.
{"title":"An Offline Mahjong Support System Based on Augmented Reality with Context-aware Image Recognition","authors":"Ryosuke Suzuki, Tadachika Ozono, T. Shintani","doi":"10.1109/IIAI-AAI.2019.00035","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2019.00035","url":null,"abstract":"The diffusion of the Augmented Reality framework has facilitated the implementation of a support system for a real world task. This paper introduces a system that supports the Mahjong game for beginners. However, it is difficult to calculate the score for beginners in the real Mahjong game. We develop an offline system to get the score by recognizing the Mahjong tiles. This is a difficult task because Mahjong tiles have classes and attributes that are the context of their positions. The system needs context-aware image recognition. The system detected tiles using OpenCV and Convolutional Neural Network to classify them and self-localization indirectly found in attributes. The experimental results show that the system can be used effectively.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127284710","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：