Pub Date : 2022-10-19DOI: 10.1109/ICTC55196.2022.9952469
Jae-Hyeok Lee, Seohu Lee, Jayun Hyun, Chan-Yong Park, Minha Choi, Won Jeong Shin, Ji-Ung Park, T. Chung
The use of internet of things technology has substantially increased in healthcare. Accordingly, we have developed a digital therapeutics service, DfuKare, which contains a smart insole with multiple sensors named SmarTinsole for diabetes and diabetic foot ulcer patients. However, there are still challenges associated with using multiple sensors in digital therapeutics due to the characteristics of wireless communication, such as network connectivity, real-time capability, and data reliability & integrity. To address these problems, we developed a mobile application that communicates with SmarTinsole called Dfu-App. This paper describes the detailed implementation process from the communication perspective in particular. Moreover, we divide the experiment into three situations that are applicable to a real-world environment and then measure the data loss rate by changing the data transfer-interval frequency of SmarTinsole (10 Hz, 20 Hz, and 40 Hz). With 10 Hz, the data loss rate is 0 % in all cases, but in terms of the collected data, the performance is lower than that with either 20 Hz or 40 Hz. Although the results obtained with 20 Hz and 40 Hz show similar performance, we confirm that 20 Hz is the most appropriate data transfer-interval frequency while considering the hardware overhead of 40 Hz to be troublesome. Based on these results, we verify that communication with SmarTinsole and Dfu-App is reliable and secure, and it is expected that the data that can be collected using DfuKare will be helpful for building a dataset and designing an artificial intelligence model in healthcare service.
{"title":"Optimal transfer-interval frequency to minimize data loss in BLE network for healthcare service","authors":"Jae-Hyeok Lee, Seohu Lee, Jayun Hyun, Chan-Yong Park, Minha Choi, Won Jeong Shin, Ji-Ung Park, T. Chung","doi":"10.1109/ICTC55196.2022.9952469","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952469","url":null,"abstract":"The use of internet of things technology has substantially increased in healthcare. Accordingly, we have developed a digital therapeutics service, DfuKare, which contains a smart insole with multiple sensors named SmarTinsole for diabetes and diabetic foot ulcer patients. However, there are still challenges associated with using multiple sensors in digital therapeutics due to the characteristics of wireless communication, such as network connectivity, real-time capability, and data reliability & integrity. To address these problems, we developed a mobile application that communicates with SmarTinsole called Dfu-App. This paper describes the detailed implementation process from the communication perspective in particular. Moreover, we divide the experiment into three situations that are applicable to a real-world environment and then measure the data loss rate by changing the data transfer-interval frequency of SmarTinsole (10 Hz, 20 Hz, and 40 Hz). With 10 Hz, the data loss rate is 0 % in all cases, but in terms of the collected data, the performance is lower than that with either 20 Hz or 40 Hz. Although the results obtained with 20 Hz and 40 Hz show similar performance, we confirm that 20 Hz is the most appropriate data transfer-interval frequency while considering the hardware overhead of 40 Hz to be troublesome. Based on these results, we verify that communication with SmarTinsole and Dfu-App is reliable and secure, and it is expected that the data that can be collected using DfuKare will be helpful for building a dataset and designing an artificial intelligence model in healthcare service.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"15 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":"117018138","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/ICTC55196.2022.9952460
Y. Shin, Jisoo Shin, Cheolhee Park, Jong-Geun Park
The cloud conversion of services has become irresistible. In situations where business competitiveness is needed, flexibility and scalability of the cloud are the best choices to meet customer needs. Cloud native provides a platform that includes the build, deployment, and management of services. Now, cloud native is leading the cloud market. However, a lot of consideration is needed for cloud transformation. Network security for the creation of complex virtual networks and dynamic network connectivity is a very important factor.
{"title":"Network Security in 5G Cloud Native MEC Environments","authors":"Y. Shin, Jisoo Shin, Cheolhee Park, Jong-Geun Park","doi":"10.1109/ICTC55196.2022.9952460","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952460","url":null,"abstract":"The cloud conversion of services has become irresistible. In situations where business competitiveness is needed, flexibility and scalability of the cloud are the best choices to meet customer needs. Cloud native provides a platform that includes the build, deployment, and management of services. Now, cloud native is leading the cloud market. However, a lot of consideration is needed for cloud transformation. Network security for the creation of complex virtual networks and dynamic network connectivity is a very important factor.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"9 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":"117135573","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/ICTC55196.2022.9952686
Hyungi Lee, Nac-Woo Kim, Jungi Lee, Byung-Tak Lee
An accurate remaining useful life (RUL) prediction is critical for successful operation of a target system. In pursuing a better method for RUL prediction, in this paper, we consider three well-known deep learning models: long short-term memory (LSTM), Transformer, and denoising autoencoder (DAE). In particular, we conduct empirical study with various combinations of the three deep learning models. The experiment results first show that DAE is useful to remove noise from the raw input data. The experiment results also show that the combination of DAE and Transformer leads to the best performance.
{"title":"An Empirical Study of Remaining Useful Life Prediction using Deep Learning Models","authors":"Hyungi Lee, Nac-Woo Kim, Jungi Lee, Byung-Tak Lee","doi":"10.1109/ICTC55196.2022.9952686","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952686","url":null,"abstract":"An accurate remaining useful life (RUL) prediction is critical for successful operation of a target system. In pursuing a better method for RUL prediction, in this paper, we consider three well-known deep learning models: long short-term memory (LSTM), Transformer, and denoising autoencoder (DAE). In particular, we conduct empirical study with various combinations of the three deep learning models. The experiment results first show that DAE is useful to remove noise from the raw input data. The experiment results also show that the combination of DAE and Transformer leads to the best performance.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"34 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":"123573597","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/ICTC55196.2022.9952535
Tuyet-Mai Dang, Eunyoung Cho, Sang-Hyo Kim
Artificial intelligence (AI)-aided approaches are emerging in solving physical layer communication problems. In this paper, we focus on applications of deep learning (DL) in channel coding for wireless communications and provide a survey on related topics. We describe various decoding problems of short linear codes and LDPC codes assisted by deep neural networks. The survey will be concluded with a list of future research directions.
{"title":"Current Trends on Deep Learning-aided Channel Coding","authors":"Tuyet-Mai Dang, Eunyoung Cho, Sang-Hyo Kim","doi":"10.1109/ICTC55196.2022.9952535","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952535","url":null,"abstract":"Artificial intelligence (AI)-aided approaches are emerging in solving physical layer communication problems. In this paper, we focus on applications of deep learning (DL) in channel coding for wireless communications and provide a survey on related topics. We describe various decoding problems of short linear codes and LDPC codes assisted by deep neural networks. The survey will be concluded with a list of future research directions.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"385 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":"121972830","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/ictc55196.2022.9953012
Seunghan Choi, Jaegu Yoo, Changki Kim
High reliability and ultra-low latency communication are required to meet various vertical industry domain requirements. There are standard technologies for supporting high-trust and high reliability and ultra-low latency communication similar to TSN in 5G domain. In this paper, we introduce the related standards and design for implementing redundant transmission and QoS monitoring technologies that support URLLC(Ultra Reliable Low Latency Communication) in 5G domain. We also introduce implementation of redundant transmission and QoS monitoring in commercial network processor.
{"title":"Implementation of UPF supporting Ultra Reliable Low Latency Communication for 5G Core","authors":"Seunghan Choi, Jaegu Yoo, Changki Kim","doi":"10.1109/ictc55196.2022.9953012","DOIUrl":"https://doi.org/10.1109/ictc55196.2022.9953012","url":null,"abstract":"High reliability and ultra-low latency communication are required to meet various vertical industry domain requirements. There are standard technologies for supporting high-trust and high reliability and ultra-low latency communication similar to TSN in 5G domain. In this paper, we introduce the related standards and design for implementing redundant transmission and QoS monitoring technologies that support URLLC(Ultra Reliable Low Latency Communication) in 5G domain. We also introduce implementation of redundant transmission and QoS monitoring in commercial network processor.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"111 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":"117182929","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/ICTC55196.2022.9952436
Ke Zhao, Haoran Mei, Shuai Lyu, Limei Peng
This paper considers deploying multiple UAV- mounted reconfigurable intelligent surfaces (RISs) to reflect signals from the base station (BS) to users to provide line- of-sight (LoS) communications. We aim to jointly optimize the deployment of UAV-mounted RISs, the assignment of RIS elements to users, and the BS power allocation to minimize the number of required UAVs while satisfying the user signal-to- noise ratio (SNR). To achieve the above goal, we divide the area of interest (AOI) into grid cells and propose an integer linear programming (ILP) model. Numerical results show that the proposed ILP model outperforms the baseline scheme under the constraints of user SNR thresholds and successfully serving all users.
{"title":"Joint Optimization of Multiple UAV-mounted RISs Deployment and RIS Elements Allocation","authors":"Ke Zhao, Haoran Mei, Shuai Lyu, Limei Peng","doi":"10.1109/ICTC55196.2022.9952436","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952436","url":null,"abstract":"This paper considers deploying multiple UAV- mounted reconfigurable intelligent surfaces (RISs) to reflect signals from the base station (BS) to users to provide line- of-sight (LoS) communications. We aim to jointly optimize the deployment of UAV-mounted RISs, the assignment of RIS elements to users, and the BS power allocation to minimize the number of required UAVs while satisfying the user signal-to- noise ratio (SNR). To achieve the above goal, we divide the area of interest (AOI) into grid cells and propose an integer linear programming (ILP) model. Numerical results show that the proposed ILP model outperforms the baseline scheme under the constraints of user SNR thresholds and successfully serving all users.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"108 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120825642","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/ICTC55196.2022.9952396
Hyunho Park, Junho Yoon, Ingyue Han, Sungwon Byon, Eunjung Kwon, Eui-Suk Jung
In order to respond to a crime scene, police officers need to exert physical forces that include the police officers' crime control actions (e.g., arrest, crackdown, and shooting a gun), equipment types (e.g., handcuffs, police sticks, taser guns, and guns), and manpower allocations (e.g., the number of dispatched police officers for a crime scene) to suppress the crimes. This paper proposes a crime response system based on danger degree calculations (CRSDDC). The CRSDDC can calculate danger degrees by using reports from police emergency calls and police officers. The CRSDDC can also provide the police officers with guidelines of physical forces based on the danger degrees. The CRSDDC enables the police officers to respond to the crime scenes fast and appropriately by providing the police officers with the guidelines.
{"title":"Crime Response System based on Danger Degree Calculations of Crime Scenes","authors":"Hyunho Park, Junho Yoon, Ingyue Han, Sungwon Byon, Eunjung Kwon, Eui-Suk Jung","doi":"10.1109/ICTC55196.2022.9952396","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952396","url":null,"abstract":"In order to respond to a crime scene, police officers need to exert physical forces that include the police officers' crime control actions (e.g., arrest, crackdown, and shooting a gun), equipment types (e.g., handcuffs, police sticks, taser guns, and guns), and manpower allocations (e.g., the number of dispatched police officers for a crime scene) to suppress the crimes. This paper proposes a crime response system based on danger degree calculations (CRSDDC). The CRSDDC can calculate danger degrees by using reports from police emergency calls and police officers. The CRSDDC can also provide the police officers with guidelines of physical forces based on the danger degrees. The CRSDDC enables the police officers to respond to the crime scenes fast and appropriately by providing the police officers with the guidelines.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"32 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":"126145253","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/ICTC55196.2022.9952779
Seungnyun Kim, B. Shim
In this paper, we propose a joint DoA and TDoA estimation algorithm for mmWave communications. The key idea of proposed scheme is to use the pilot signal generated from the Zadoff-Chu sequence. Zadoff-Chu sequence is a type of constant amplitude zero auto-correlation (CAZAC) sequence that has a circular auto-correlation property. Using this property, we can effectively determine the time delay of multi-path signals. Also, by applying the maximum likelihood (ML) estimation at the Zadoff-Chu pilot measurements, we can acquire high resolution DoAs and corresponding path gains.
{"title":"Joint DoA and TDoA Estimation for mmWave Communications Using Zadoff-Chu Sequence","authors":"Seungnyun Kim, B. Shim","doi":"10.1109/ICTC55196.2022.9952779","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952779","url":null,"abstract":"In this paper, we propose a joint DoA and TDoA estimation algorithm for mmWave communications. The key idea of proposed scheme is to use the pilot signal generated from the Zadoff-Chu sequence. Zadoff-Chu sequence is a type of constant amplitude zero auto-correlation (CAZAC) sequence that has a circular auto-correlation property. Using this property, we can effectively determine the time delay of multi-path signals. Also, by applying the maximum likelihood (ML) estimation at the Zadoff-Chu pilot measurements, we can acquire high resolution DoAs and corresponding path gains.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"12 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":"124763528","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/ICTC55196.2022.9952367
Jing Yan, Wenjing Zhao, Minglu Jin
In this paper, we consider the moving target detection problem for distributed multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter environment. By introducing a binary discrete variable, the problem of target detection is transformed into the estimation problem of discrete variable, and on the basis of Neyman-Pearson network (NPnet), an Improved Neyman-Pearson network (INPnet) is constructed to solve this problem. The INPnet modifies the nonlinear activation function of the output layer and loss function of the original network, and inherits the advantage of the original network combining data-driven and model-driven. In the network training stage, a training method considering the decision threshold is proposed, which achieves controllable false alarm rate. The simulation results show that the proposed detection method INPnet outperforms the existing NPnet, and can guarantee a constant false alarm rate (CFAR).
{"title":"Improved Neyman-Pearson Network for MIMO Radar Moving Target Detection","authors":"Jing Yan, Wenjing Zhao, Minglu Jin","doi":"10.1109/ICTC55196.2022.9952367","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952367","url":null,"abstract":"In this paper, we consider the moving target detection problem for distributed multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter environment. By introducing a binary discrete variable, the problem of target detection is transformed into the estimation problem of discrete variable, and on the basis of Neyman-Pearson network (NPnet), an Improved Neyman-Pearson network (INPnet) is constructed to solve this problem. The INPnet modifies the nonlinear activation function of the output layer and loss function of the original network, and inherits the advantage of the original network combining data-driven and model-driven. In the network training stage, a training method considering the decision threshold is proposed, which achieves controllable false alarm rate. The simulation results show that the proposed detection method INPnet outperforms the existing NPnet, and can guarantee a constant false alarm rate (CFAR).","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"48 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":"128464357","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/ICTC55196.2022.9952971
M. Kang, Sangin Cro, Hyungju Kim
In this paper, we formed a 3D antenna beam pattern based on the ITU-R recommendation and used it to analyze the interference effects between ground-based meteorological radars in which the antennas rotates. It was confirmed that there was an interference effect of 0.05% or less in various propagation models under the frequency separation condition of 8MHz.
{"title":"Interference Analysis between Ground-based Meteorological Radars","authors":"M. Kang, Sangin Cro, Hyungju Kim","doi":"10.1109/ICTC55196.2022.9952971","DOIUrl":"https://doi.org/10.1109/ICTC55196.2022.9952971","url":null,"abstract":"In this paper, we formed a 3D antenna beam pattern based on the ITU-R recommendation and used it to analyze the interference effects between ground-based meteorological radars in which the antennas rotates. It was confirmed that there was an interference effect of 0.05% or less in various propagation models under the frequency separation condition of 8MHz.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"62 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":"128492077","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：