Pub Date : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952634
M. A. Badshah, Seong-min Lee, Chengjun Jin, Seong-Cheol Byeon, Tasadduq Hussain, Muzahir Ali, Seok-min Kim
Glancing angle deposition (GLAD) is a physical vapor deposition process in which the substrate is placed to have a large incidence angle (>75°, angle between incoming flux and substrate normal). The GLAD process can be considered a promising method to fabricate metallic nanostructure on a large area at a low cost. GLAD Ag nanorods were fabricated and their fluorescence enhancement performances were examined. A practical antibody chip was realized using a 500 nm thick vertical Ag nanorods substrate. To overcome the limitations of GLAD Ag nanorod MEF substrate, Ag nanorods on micro post array substrate were also investigated.
{"title":"Metal Enhanced Fluorescence Microarray Biochip using Glancing Angle Deposited Ag nanorods","authors":"M. A. Badshah, Seong-min Lee, Chengjun Jin, Seong-Cheol Byeon, Tasadduq Hussain, Muzahir Ali, Seok-min Kim","doi":"10.1109/ICTC55196.2022.9952634","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952634","url":null,"abstract":"Glancing angle deposition (GLAD) is a physical vapor deposition process in which the substrate is placed to have a large incidence angle (>75°, angle between incoming flux and substrate normal). The GLAD process can be considered a promising method to fabricate metallic nanostructure on a large area at a low cost. GLAD Ag nanorods were fabricated and their fluorescence enhancement performances were examined. A practical antibody chip was realized using a 500 nm thick vertical Ag nanorods substrate. To overcome the limitations of GLAD Ag nanorod MEF substrate, Ag nanorods on micro post array substrate were also investigated.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129191434","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9953008
Thi Xuan My Nguyen, The-Vi Nguyen, D. Hua, Nam-Phuong Tran, Sungrae Cho
Recently, intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are recognized as the key enablers for B5G and 6G networks, in which IRS can intelligently reconfigure the wireless propagation environment, while NOMA can effectively support massive connectivity and improve user fairness. Therefore, integrating both technologies is a promising approach to compensate for their advantages. In this paper, we provide a small survey of recent studies on IRS, NOMA, and IRS-NOMA integration. Particularly, the basics of IRS and NOMA are first presented, and then, the IRS-NOMA fundamentals are discussed focusing on resource allocation, which is one of the key elements in an efficient IRS-aided NOMA system design. Lastly, we present some future directions for the IRS-NOMA systems.
{"title":"A Survey on Intelligent Reflecting Surface-aided Non-Orthogonal Multiple Access Networks","authors":"Thi Xuan My Nguyen, The-Vi Nguyen, D. Hua, Nam-Phuong Tran, Sungrae Cho","doi":"10.1109/ICTC55196.2022.9953008","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9953008","url":null,"abstract":"Recently, intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) are recognized as the key enablers for B5G and 6G networks, in which IRS can intelligently reconfigure the wireless propagation environment, while NOMA can effectively support massive connectivity and improve user fairness. Therefore, integrating both technologies is a promising approach to compensate for their advantages. In this paper, we provide a small survey of recent studies on IRS, NOMA, and IRS-NOMA integration. Particularly, the basics of IRS and NOMA are first presented, and then, the IRS-NOMA fundamentals are discussed focusing on resource allocation, which is one of the key elements in an efficient IRS-aided NOMA system design. Lastly, we present some future directions for the IRS-NOMA systems.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130673639","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952836
Yejune Seo, Junghyun Cho, Jiyeon Jang, Yejin Lee, S. Kahng
In this paper, we propose a method to put 5G mobile communication beam-steering antennas together with wireless body-area network multi-input multi-output(WBAN sensor) UHF-band antennas in one platform. To maximize isolation between the two aforementioned blocks of the antennas, the 28 GHz beam-steering antenna is realized as an substrate integrated waveguide(SIW) for good shielding, and a three-turn and shorted loop is used as a small-sized antenna for 433 MHz WBAN MIMO. By reducing the room for electromagnetic coupling, the total structure is built on the real-estate of a smart-phone with no change in performance from separate design steps.
{"title":"A 5G Beamforming Antenna With IoT Sensors","authors":"Yejune Seo, Junghyun Cho, Jiyeon Jang, Yejin Lee, S. Kahng","doi":"10.1109/ICTC55196.2022.9952836","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952836","url":null,"abstract":"In this paper, we propose a method to put 5G mobile communication beam-steering antennas together with wireless body-area network multi-input multi-output(WBAN sensor) UHF-band antennas in one platform. To maximize isolation between the two aforementioned blocks of the antennas, the 28 GHz beam-steering antenna is realized as an substrate integrated waveguide(SIW) for good shielding, and a three-turn and shorted loop is used as a small-sized antenna for 433 MHz WBAN MIMO. By reducing the room for electromagnetic coupling, the total structure is built on the real-estate of a smart-phone with no change in performance from separate design steps.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123833732","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952628
Nam-Phuong Tran, Nhu-Ngoc Dao, The-Vi Nguyen, Sungrae Cho
Along with the development of the internet, there is an explosion of data that is assembled from diverse sources such as mobile phones or sensors with unprecedented volumes. Big data paves the way for devising state-of-the-art Machine Learning models, which are employed for various tasks such as predicting or analysis, and bring massive impacts on people's daily lives. However, traditional learning architectures pose risks of privacy leakage. In deal with this problem, Split Learning was introduced. Split Learning is an emerging Distributed Collaborative Machine Learning approach with privacy-preserving nature. In this work, we first introduce the fundamentals of Split Learning and then describe major challenges of current learning models. We then depict modern Split Learning and their potential applications in variety fields.
{"title":"Privacy-Preserving Learning Models for Communication: A tutorial on Advanced Split Learning","authors":"Nam-Phuong Tran, Nhu-Ngoc Dao, The-Vi Nguyen, Sungrae Cho","doi":"10.1109/ICTC55196.2022.9952628","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952628","url":null,"abstract":"Along with the development of the internet, there is an explosion of data that is assembled from diverse sources such as mobile phones or sensors with unprecedented volumes. Big data paves the way for devising state-of-the-art Machine Learning models, which are employed for various tasks such as predicting or analysis, and bring massive impacts on people's daily lives. However, traditional learning architectures pose risks of privacy leakage. In deal with this problem, Split Learning was introduced. Split Learning is an emerging Distributed Collaborative Machine Learning approach with privacy-preserving nature. In this work, we first introduce the fundamentals of Split Learning and then describe major challenges of current learning models. We then depict modern Split Learning and their potential applications in variety fields.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124169747","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952887
Yeseul Son, J. Yeom, SeHwan Lim, Do-Hoon Kim, Kwang-Soon Choi
While interest and demand for VR/AR/MR technology are increasing, VR/AR/MR device-related technologies and markets are still in their infancy, and there is no objective standard for evaluating the performance of devices. We are conducting research to develop standards to evaluate the performance of these devices, and in this paper, we propose a method and system for evaluating the tracking performance of VR/AR/MR devices. In consideration of the characteristics of wearable devices, a system for evaluation based on human movement is designed, and a measurement procedure and calculation method are proposed to increase the reliability of evaluation.
{"title":"Method and System for Evaluating Tracking Performance of VR/AR/MR Devices","authors":"Yeseul Son, J. Yeom, SeHwan Lim, Do-Hoon Kim, Kwang-Soon Choi","doi":"10.1109/ICTC55196.2022.9952887","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952887","url":null,"abstract":"While interest and demand for VR/AR/MR technology are increasing, VR/AR/MR device-related technologies and markets are still in their infancy, and there is no objective standard for evaluating the performance of devices. We are conducting research to develop standards to evaluate the performance of these devices, and in this paper, we propose a method and system for evaluating the tracking performance of VR/AR/MR devices. In consideration of the characteristics of wearable devices, a system for evaluation based on human movement is designed, and a measurement procedure and calculation method are proposed to increase the reliability of evaluation.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123191934","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952814
Donghyeon Kim, Jinsung Kim
Sparse-matrix dense-matrix multiplication (SpMM) receives one sparse matrix and one dense matrix as two inputs, and outputs one dense matrix as a result. It plays a vital role in various fields such as deep neural networks graph neural networks and analysis. CUDA, NVIDIA's parallel computing platform, provides cuSPARSE library to support Basic Linear Algebra Subroutines (BLAS) with sparse matrices such as SpMM. In sparse matrices, zero values can be discarded from storage or computations to accelerate execution. In order to represent only non-zero values in sparse matrices, the cuSPARSE library supports several sparse formats for matrices such as COO (COOrdinate), CSR (Compressed Sparse Row), and CSC (Compressed Sparse Column). In addition, since the 3rd Gen. Tensor Cores with Ampere was introduced, CUDA provides cuSPARSELt library for SpMM whose sparse matrix satisfies a 2:4 sparsity pattern, which is approximately 50% sparsity that can occur in machine learning, etc. In this paper, we compare the cuSPARSE library and the cuSPARSELt library for SpMM, in the case of sparse matrices with a 2:4 sparsity pattern(50% sparsity). Furthermore, we compare the performances of three formats to perform SpMM in the cuSPARSE library, in terms of different sparsity such as 75% sparsity, 87.5% sparsity and 99% sparsity.
{"title":"Analysis of Several Sparse Formats for Matrices used in Sparse-Matrix Dense-Matrix Multiplication for Machine Learning on GPUs","authors":"Donghyeon Kim, Jinsung Kim","doi":"10.1109/ICTC55196.2022.9952814","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952814","url":null,"abstract":"Sparse-matrix dense-matrix multiplication (SpMM) receives one sparse matrix and one dense matrix as two inputs, and outputs one dense matrix as a result. It plays a vital role in various fields such as deep neural networks graph neural networks and analysis. CUDA, NVIDIA's parallel computing platform, provides cuSPARSE library to support Basic Linear Algebra Subroutines (BLAS) with sparse matrices such as SpMM. In sparse matrices, zero values can be discarded from storage or computations to accelerate execution. In order to represent only non-zero values in sparse matrices, the cuSPARSE library supports several sparse formats for matrices such as COO (COOrdinate), CSR (Compressed Sparse Row), and CSC (Compressed Sparse Column). In addition, since the 3rd Gen. Tensor Cores with Ampere was introduced, CUDA provides cuSPARSELt library for SpMM whose sparse matrix satisfies a 2:4 sparsity pattern, which is approximately 50% sparsity that can occur in machine learning, etc. In this paper, we compare the cuSPARSE library and the cuSPARSELt library for SpMM, in the case of sparse matrices with a 2:4 sparsity pattern(50% sparsity). Furthermore, we compare the performances of three formats to perform SpMM in the cuSPARSE library, in terms of different sparsity such as 75% sparsity, 87.5% sparsity and 99% sparsity.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123311803","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952653
M. Masuduzzaman, R. Nugraha, S. Shin
The Industrial Internet of Things (IIoT) focuses on connecting devices to gather real-time data and manually analyze it to make decisions. The IIoT devices could be equipped with some intelligence that empowers them to automatically create an informed choice and act with the ability for self-correction. This paper presents an innovative and secure approach to using industrial intelligence of things (IIoT 2.0) devices for designing an automated smart factory management system. Firstly, a blockchain-based secure order placement technique is proposed in a smart factory management system to store the production record permanently and avoid third-party interaction. This paper also introduces cooperative autonomous product tracking and maintenance systems using automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) to minimize human interaction inside a smart factory. Moreover, a deep learning model-based automated anomaly detection and prevention approach is demonstrated to take proactive action by the UAV and AGV inside a smart factory. Finally, to address the security issue among IIoT 2.0 devices, a secure data transfer approach based on public-key infrastructure (PKI) is utilized. Result analysis of the proposed system shows that the blockchain network can form the blocks very rapidly using the private blockchain network. Furthermore, PKI implementation confirms that the proposed smart factory management system's IIoT 2.0 devices can swiftly transfer secure data and instructions from one device to another.
{"title":"Industrial Intelligence of Things (IIoT 2.0) based Automated Smart Factory Management System using Blockchain","authors":"M. Masuduzzaman, R. Nugraha, S. Shin","doi":"10.1109/ICTC55196.2022.9952653","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952653","url":null,"abstract":"The Industrial Internet of Things (IIoT) focuses on connecting devices to gather real-time data and manually analyze it to make decisions. The IIoT devices could be equipped with some intelligence that empowers them to automatically create an informed choice and act with the ability for self-correction. This paper presents an innovative and secure approach to using industrial intelligence of things (IIoT 2.0) devices for designing an automated smart factory management system. Firstly, a blockchain-based secure order placement technique is proposed in a smart factory management system to store the production record permanently and avoid third-party interaction. This paper also introduces cooperative autonomous product tracking and maintenance systems using automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) to minimize human interaction inside a smart factory. Moreover, a deep learning model-based automated anomaly detection and prevention approach is demonstrated to take proactive action by the UAV and AGV inside a smart factory. Finally, to address the security issue among IIoT 2.0 devices, a secure data transfer approach based on public-key infrastructure (PKI) is utilized. Result analysis of the proposed system shows that the blockchain network can form the blocks very rapidly using the private blockchain network. Furthermore, PKI implementation confirms that the proposed smart factory management system's IIoT 2.0 devices can swiftly transfer secure data and instructions from one device to another.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121343479","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952739
Y. Im, Jaewoo Kim, Jaeho Ko, Joonhee Kim, Woongsoo Na
Recently, the scale of the video game industry has become large, and several developers are rapidly producing and releasing games in accordance with the changes in the market. However, due to the lack of manpower, time, and budget of small developers, there is a problem that the game testing can not be done in depth. To resolve this problem, in this paper, we propose a model that balances the game using ML-Agent, which is a unity machine learning asset. We created AI models that took a lot of trial and error for accurate testing, and in addition, we improved the accuracy of the balance by reliably recording the win rate according to the number of characters.
{"title":"Research on Automatic Balance Patch Technology Through AI Analysis","authors":"Y. Im, Jaewoo Kim, Jaeho Ko, Joonhee Kim, Woongsoo Na","doi":"10.1109/ICTC55196.2022.9952739","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952739","url":null,"abstract":"Recently, the scale of the video game industry has become large, and several developers are rapidly producing and releasing games in accordance with the changes in the market. However, due to the lack of manpower, time, and budget of small developers, there is a problem that the game testing can not be done in depth. To resolve this problem, in this paper, we propose a model that balances the game using ML-Agent, which is a unity machine learning asset. We created AI models that took a lot of trial and error for accurate testing, and in addition, we improved the accuracy of the balance by reliably recording the win rate according to the number of characters.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121375222","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 : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952978
Jaehyuk Kim, Eunchan Kim, Yeunwoong Kyung, Haneul Ko
The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.
{"title":"A Study on ECG Monitoring Embedded Systems","authors":"Jaehyuk Kim, Eunchan Kim, Yeunwoong Kyung, Haneul Ko","doi":"10.1109/ICTC55196.2022.9952978","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952978","url":null,"abstract":"The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"55 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114106265","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}
Augmented Reality (AR) can be used to enhance consumed information visually and textually. When it comes to a cellular signal strength, a user might be skeptic how strong it is, actually. Some may concern about good signal receiving in terms of coverage area, whereas some may concern about health affection. In this work, we aimed to increase awareness of cellular signals on smartphones using Augmented Reality (AR) technology. The invisible cellular signal is visualized on smartphones virtually with 3D objects and text information. The System Usability Scale (SUS) score shows that the usability of our application is above average with score of 69.75.
{"title":"Increasing Awareness of Cellular Signals on Smartphones using Augmented Reality","authors":"Nattamon Srithammee, Benchaporn Jantarakongkul, Kanuengnij Kubola, Prajaks Jitngernmadan","doi":"10.1109/ICTC55196.2022.9952858","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952858","url":null,"abstract":"Augmented Reality (AR) can be used to enhance consumed information visually and textually. When it comes to a cellular signal strength, a user might be skeptic how strong it is, actually. Some may concern about good signal receiving in terms of coverage area, whereas some may concern about health affection. In this work, we aimed to increase awareness of cellular signals on smartphones using Augmented Reality (AR) technology. The invisible cellular signal is visualized on smartphones virtually with 3D objects and text information. The System Usability Scale (SUS) score shows that the usability of our application is above average with score of 69.75.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116144980","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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