Pub Date : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019127
Khushboo Singh, F. Ahmed, K. Esselle, D. Thalakotuna
In this work, a cross-entropy (CE) method-based combinatorial mixed parameter optimization approach is successfully implemented to design a wideband waveguide polarizer for Ku-band applications. Technically, the choice of permittivity and corresponding width of dielectrics required to load the walls of the waveguide polarizer to produce an optimum design remains a severe challenge. We classify this as an optimization problem and address it using the CE method. The dielectric loading on the walls of a square waveguide polarizer is optimized to achieve a broader bandwidth and an axial ratio (AR) below 0.2 dB. The CE algorithm coded in MATLAB in conjunction with the full-wave simulations in CST MWS is implemented to increase the AR bandwidth and reduce the overall length of the polarizer.
{"title":"Cross-Entropy Method for Combinatorial Mixed-Parameter Optimization of Waveguide Polarizers for Ku-Band","authors":"Khushboo Singh, F. Ahmed, K. Esselle, D. Thalakotuna","doi":"10.1109/ICCSPA55860.2022.10019127","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019127","url":null,"abstract":"In this work, a cross-entropy (CE) method-based combinatorial mixed parameter optimization approach is successfully implemented to design a wideband waveguide polarizer for Ku-band applications. Technically, the choice of permittivity and corresponding width of dielectrics required to load the walls of the waveguide polarizer to produce an optimum design remains a severe challenge. We classify this as an optimization problem and address it using the CE method. The dielectric loading on the walls of a square waveguide polarizer is optimized to achieve a broader bandwidth and an axial ratio (AR) below 0.2 dB. The CE algorithm coded in MATLAB in conjunction with the full-wave simulations in CST MWS is implemented to increase the AR bandwidth and reduce the overall length of the polarizer.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129257439","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019244
Ling Lyu, Lihong Zhao, Yanpeng Dai
In industrial Internet of Things (IoT) systems, many sensors are deployed in the field to sense the running state of equipments. Moreover, the more the sensory information collected and transmitted by sensors, the better the state estimation performance. However, the limited spectrum resources make it challenging to support the simultaneous transmission of all sensors, which will significantly reduce the estimation accuracy. Moreover, due to the heterogeneous sensing abilities of sensors, scheduling different sensors will have distinct contributions on improving the estimation performance. To address this issue, this paper proposes a priority-aware transmission scheduling scheme for state estimation. In particular, the priority is firstly given based on Age of Information (AoI), where AoI characterizes the freshness of sensory information and is related to the historical scheduling situations. Then, we investigate the relationship between the AoI of sensory information and the error of state estimation, based on which a priority-aware transmission scheduling algorithm is designed by considering the spectrum resource limitation and the sensing ability heterogeneity. To further improve the estimation accuracy, a constrained optimization problem is formulated to jointly design the transmission scheme and transmit power. Besides, a low-complexity heuristic algorithm is proposed to solve the formulated mixed integer nonlinear problem efficiently. Finally, the simulation results show the effectiveness and superiorities of the proposed transmission scheduling scheme.
在工业物联网(IoT)系统中，现场部署了许多传感器来感知设备的运行状态。此外，传感器采集和传输的感官信息越多，状态估计性能越好。然而，有限的频谱资源使其难以支持所有传感器的同时传输，这将大大降低估计精度。此外，由于传感器的感知能力是异构的，调度不同的传感器对提高估计性能的贡献是不同的。为了解决这一问题，本文提出了一种状态估计的优先级感知传输调度方案。其中，首先基于信息时代(Age of Information, AoI)给出优先级，AoI表征感官信息的新鲜度，与历史调度情况有关。在此基础上，设计了考虑频谱资源限制和感知能力异质性的优先级感知传输调度算法。为了进一步提高估计精度，提出了约束优化问题，共同设计发射方案和发射功率。此外，提出了一种低复杂度的启发式算法，可以有效地求解公式化的混合整数非线性问题。最后，仿真结果表明了所提出的传输调度方案的有效性和优越性。
{"title":"AoI-Based Priority-Aware Transmission Scheduling for State Estimation in Industrial IoT Systems","authors":"Ling Lyu, Lihong Zhao, Yanpeng Dai","doi":"10.1109/ICCSPA55860.2022.10019244","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019244","url":null,"abstract":"In industrial Internet of Things (IoT) systems, many sensors are deployed in the field to sense the running state of equipments. Moreover, the more the sensory information collected and transmitted by sensors, the better the state estimation performance. However, the limited spectrum resources make it challenging to support the simultaneous transmission of all sensors, which will significantly reduce the estimation accuracy. Moreover, due to the heterogeneous sensing abilities of sensors, scheduling different sensors will have distinct contributions on improving the estimation performance. To address this issue, this paper proposes a priority-aware transmission scheduling scheme for state estimation. In particular, the priority is firstly given based on Age of Information (AoI), where AoI characterizes the freshness of sensory information and is related to the historical scheduling situations. Then, we investigate the relationship between the AoI of sensory information and the error of state estimation, based on which a priority-aware transmission scheduling algorithm is designed by considering the spectrum resource limitation and the sensing ability heterogeneity. To further improve the estimation accuracy, a constrained optimization problem is formulated to jointly design the transmission scheme and transmit power. Besides, a low-complexity heuristic algorithm is proposed to solve the formulated mixed integer nonlinear problem efficiently. Finally, the simulation results show the effectiveness and superiorities of the proposed transmission scheduling scheme.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122411792","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019112
Essam Hisham, Sherine Nagy Saleh
As the size of the population of sign language users increased, the importance of breaking the barrier between those who can use sign language and those who can not in the Arabic community increased. In this paper, We present ESMAANI, a computational solution that enables sign language recognition while utilizing machine learning and deep learning techniques. The proposed system aims to contribute to the study of the challenges and complexities associated with sign language recognition, specifically Arabic sign language. The proposed models present a non-intrusive computer vision approach to building a system specialized in Arabic sign language recognition translating the input sign gestures from a camera stream or video input into text output. Supporting static sign language input, which is common in fingerspelling and alphabet representation and dynamic sign language input which is employed for signing at the word level. The paper also presents a person and environment-independent dataset that's capable of generalizing to include further the various versions of ArSL the proposed static sign recognition system achieved an overall accuracy of 99.7%. And For the proposed dynamic sign recognition system achieved maximum recognition validation accuracy of 97% suggesting strong generalization.
{"title":"ESMAANI: A Static and Dynamic Arabic Sign Language Recognition System Based on Machine and Deep Learning Models","authors":"Essam Hisham, Sherine Nagy Saleh","doi":"10.1109/ICCSPA55860.2022.10019112","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019112","url":null,"abstract":"As the size of the population of sign language users increased, the importance of breaking the barrier between those who can use sign language and those who can not in the Arabic community increased. In this paper, We present ESMAANI, a computational solution that enables sign language recognition while utilizing machine learning and deep learning techniques. The proposed system aims to contribute to the study of the challenges and complexities associated with sign language recognition, specifically Arabic sign language. The proposed models present a non-intrusive computer vision approach to building a system specialized in Arabic sign language recognition translating the input sign gestures from a camera stream or video input into text output. Supporting static sign language input, which is common in fingerspelling and alphabet representation and dynamic sign language input which is employed for signing at the word level. The paper also presents a person and environment-independent dataset that's capable of generalizing to include further the various versions of ArSL the proposed static sign recognition system achieved an overall accuracy of 99.7%. And For the proposed dynamic sign recognition system achieved maximum recognition validation accuracy of 97% suggesting strong generalization.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123827619","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019055
Faisel E. M. Tubbal, R. Raad, Augustinraj Lourdunathan, Panagiotis Ioannis Theoharis, Suhila Abulgasem, Akram Alkaseh
This paper presents a high gain circular polarized Fabry-Pérot antenna for CubeSat applications. A key idea is the implementation of cavity using a $5times 5$ Metasurface ground surface to improve the total gain of the proposed antenna design. The two opposite corners of the radiating patch elements are truncated to achieve a right-hand circular polarisation (RHCP). The presented simulation results show that the proposed antenna provides a high gain of 9.4 dBi, −10 dB bandwidth 12% (2.42-2.73 GHz) with a reflection coefficient of −15.6 dB at 2.5GHz and a −3dB axial ratio bandwidth of 1.6% at 2.5GHz.
{"title":"High Gain Circularly Polarized Fabry-Pérot Antenna for S-band CubeSat Applications","authors":"Faisel E. M. Tubbal, R. Raad, Augustinraj Lourdunathan, Panagiotis Ioannis Theoharis, Suhila Abulgasem, Akram Alkaseh","doi":"10.1109/ICCSPA55860.2022.10019055","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019055","url":null,"abstract":"This paper presents a high gain circular polarized Fabry-Pérot antenna for CubeSat applications. A key idea is the implementation of cavity using a $5times 5$ Metasurface ground surface to improve the total gain of the proposed antenna design. The two opposite corners of the radiating patch elements are truncated to achieve a right-hand circular polarisation (RHCP). The presented simulation results show that the proposed antenna provides a high gain of 9.4 dBi, −10 dB bandwidth 12% (2.42-2.73 GHz) with a reflection coefficient of −15.6 dB at 2.5GHz and a −3dB axial ratio bandwidth of 1.6% at 2.5GHz.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544964","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019050
Ahmed Badr, Khalid Elgazzar
Enabled by the fast development of Internet of Things (IoT) technologies in recent years, the healthcare domain has witnessed significant advancements in wearable devices that seamlessly collect vital medical information. With the availability of IoT devices serving the healthcare domain, extraordinary amounts of sensory data are generated in real-time, requiring immediate diagnoses and attention in critical medical conditions. The provision of remote patient monitoring (RPM) and analytics infrastructure proved to be fundamental components of the healthcare domain during the Coronavirus pandemic. Traditional healthcare services are digitized and offered virtually, where patients are monitored and managed remotely without the need to go to hospitals. This paper presents a comprehensive RPM framework for real-time telehealth operations with scalable data monitoring, real-time analytics and decision-making, fine-grained data access and robust notification mechanisms in emergencies and critical health conditions. We focus on the overall framework architecture, enabling technologies integration, various system-level integrations and deployment options. Furthermore, we provide a use case application for patients with chronic heart conditions for real-time electrocardiogram (ECG) monitoring. We are releasing the framework as open-source software to the active research community.
{"title":"A Framework for Real-time Remote ECG Monitoring and Diagnoses","authors":"Ahmed Badr, Khalid Elgazzar","doi":"10.1109/ICCSPA55860.2022.10019050","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019050","url":null,"abstract":"Enabled by the fast development of Internet of Things (IoT) technologies in recent years, the healthcare domain has witnessed significant advancements in wearable devices that seamlessly collect vital medical information. With the availability of IoT devices serving the healthcare domain, extraordinary amounts of sensory data are generated in real-time, requiring immediate diagnoses and attention in critical medical conditions. The provision of remote patient monitoring (RPM) and analytics infrastructure proved to be fundamental components of the healthcare domain during the Coronavirus pandemic. Traditional healthcare services are digitized and offered virtually, where patients are monitored and managed remotely without the need to go to hospitals. This paper presents a comprehensive RPM framework for real-time telehealth operations with scalable data monitoring, real-time analytics and decision-making, fine-grained data access and robust notification mechanisms in emergencies and critical health conditions. We focus on the overall framework architecture, enabling technologies integration, various system-level integrations and deployment options. Furthermore, we provide a use case application for patients with chronic heart conditions for real-time electrocardiogram (ECG) monitoring. We are releasing the framework as open-source software to the active research community.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128599875","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019003
Sandra Said, S. Youssef, M. Elagamy
A gastric abnormality involves the stomach and other nearby organs that are involved in digestion. Diagnosing and screening for gastric abnormalities can be time-consuming and challenging as many stomach and digestive disorders have similar symptoms. 60 to 70 million Americans suffer from gastric abnormalities which lead to nearly 250,000 deaths per year according to the ‘National Institute of Diabetes and Digestive and Kidney Diseases’. To overcome the current limitations, our approach uses deep learning (DL) integrated with wireless capsule endoscopy for segmentation of video capsule endoscopy images to detect four different abnormalities in the Gastrointestinal Tract (polyps, Angiectasias, erythema and Lymphangiectasia) and to develop lightweight, low-latency models that can be integrated with low-end endoscopic hardware devices [1]. Deep learning (DL) is a subfield of Machine Learning (ML) that utilizes layered structure of algorithms inspired by the biological neural network of the human brain. DL can reinforce disease diagnosis, interventions; and documenting procedure findings and quality measures [2]. DL has the potential to revolutionize gastrointestinal endoscopy as it can enhance clinical performance and support assessing lesions more accurately when trained by domain experts [3]. Experiments has been conducted on large benchmark dataset of Kvasir-Capsule dataset achieving high segmentation accuracy, sensitivity and specificity of 98.60%, 100% and 76.99%, respectively. The experimental findings demonstrate that the proposed model has achieved enhanced performance in terms of a trade-off between model complexity, metric performances and model parameters.
{"title":"The use of Capsule Endoscopic Examination Videos in the Detection of Abnormalities in the Gastrointestinal Tract","authors":"Sandra Said, S. Youssef, M. Elagamy","doi":"10.1109/ICCSPA55860.2022.10019003","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019003","url":null,"abstract":"A gastric abnormality involves the stomach and other nearby organs that are involved in digestion. Diagnosing and screening for gastric abnormalities can be time-consuming and challenging as many stomach and digestive disorders have similar symptoms. 60 to 70 million Americans suffer from gastric abnormalities which lead to nearly 250,000 deaths per year according to the ‘National Institute of Diabetes and Digestive and Kidney Diseases’. To overcome the current limitations, our approach uses deep learning (DL) integrated with wireless capsule endoscopy for segmentation of video capsule endoscopy images to detect four different abnormalities in the Gastrointestinal Tract (polyps, Angiectasias, erythema and Lymphangiectasia) and to develop lightweight, low-latency models that can be integrated with low-end endoscopic hardware devices [1]. Deep learning (DL) is a subfield of Machine Learning (ML) that utilizes layered structure of algorithms inspired by the biological neural network of the human brain. DL can reinforce disease diagnosis, interventions; and documenting procedure findings and quality measures [2]. DL has the potential to revolutionize gastrointestinal endoscopy as it can enhance clinical performance and support assessing lesions more accurately when trained by domain experts [3]. Experiments has been conducted on large benchmark dataset of Kvasir-Capsule dataset achieving high segmentation accuracy, sensitivity and specificity of 98.60%, 100% and 76.99%, respectively. The experimental findings demonstrate that the proposed model has achieved enhanced performance in terms of a trade-off between model complexity, metric performances and model parameters.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516440","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019252
Suhila Abulgasem, Faisel E. M. Tubbal, R. Raad, Panagiotis Ioannis Theoharis
In this paper a dual band T -shaped patch antenna for X/Ku-band CubeSat applications is proposed. The proposed antenna is all metal and hence it provides a good radiation performance. The simulation results show that the antenna achieves wide impedance bandwidths of 1900 MHz (9.5-11.4 GHz) with a reflection coefficient of −22.5 dB and 2300 MHz (12.6-14.9 GHz) with a reflection coefficient of −26.5 at 10.5 and 14 GHz respectively. Accordingly, the antenna achieves a gain of 7 dBi at 10.5 GHz and 5.7 dBi at 14 GHz.
{"title":"Dual Band All-Metal T-Shaped Patch Antenna for X/Ku-band CubeSat Applications","authors":"Suhila Abulgasem, Faisel E. M. Tubbal, R. Raad, Panagiotis Ioannis Theoharis","doi":"10.1109/ICCSPA55860.2022.10019252","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019252","url":null,"abstract":"In this paper a dual band T -shaped patch antenna for X/Ku-band CubeSat applications is proposed. The proposed antenna is all metal and hence it provides a good radiation performance. The simulation results show that the antenna achieves wide impedance bandwidths of 1900 MHz (9.5-11.4 GHz) with a reflection coefficient of −22.5 dB and 2300 MHz (12.6-14.9 GHz) with a reflection coefficient of −26.5 at 10.5 and 14 GHz respectively. Accordingly, the antenna achieves a gain of 7 dBi at 10.5 GHz and 5.7 dBi at 14 GHz.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127708714","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019165
A. Khalil, S. Mukhopadhyay, H. Rehman
This paper compares the performance of two control techniques on a DC motor-driven differential drive robot. Regular cascaded PI controller is the first scheme. In the second scheme, the outer PI controller is replaced by direct model reference adaptive control (MRAC). The main objective of the motor controller is that it follows a desired angular speed. Both schemes are compared in terms of average absolute speed error and power consumption. Preliminary simulations are performed on a DC motor model; whereas, experimental runs are done on a differentially driven robot powered by DC motors, to compare the performance of both control laws. It is found that the control scheme with MRAC has lesser speed error and power consumption compared to the PI controller, both in simulation and the experimental investigation.
{"title":"Comparative Performance Analysis of PI Controller and MRAC for a Differential Drive Robot","authors":"A. Khalil, S. Mukhopadhyay, H. Rehman","doi":"10.1109/ICCSPA55860.2022.10019165","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019165","url":null,"abstract":"This paper compares the performance of two control techniques on a DC motor-driven differential drive robot. Regular cascaded PI controller is the first scheme. In the second scheme, the outer PI controller is replaced by direct model reference adaptive control (MRAC). The main objective of the motor controller is that it follows a desired angular speed. Both schemes are compared in terms of average absolute speed error and power consumption. Preliminary simulations are performed on a DC motor model; whereas, experimental runs are done on a differentially driven robot powered by DC motors, to compare the performance of both control laws. It is found that the control scheme with MRAC has lesser speed error and power consumption compared to the PI controller, both in simulation and the experimental investigation.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132514270","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019162
Chanki Park, Seungyoon Nam, J. Bautista, Hyunsoon Shin
We propose a wavelet-based EDR (Electrocardiogram derived respiration) denoising algorithm. When a QRS complex of ECG is misdetected, EDR is abruptly corrupted by huge noise. To mitigate such noise, we employed wavelet transform and likelihood functions (Gaussian mixture model and Laplace distribution). Likelihood based hard thresholding was performed for wavelet coefficients and it effectively eliminated noise in EDR signal. To verify the algorithms, we used the MIT-MIMIC open source data with simulated spike random noise. Most correlation coefficients and mean absolute errors of filtered EDRs were significantly higher and lower than those of contaminated EDRs ($p < 0.0001$), respectively. Since EDR can be used to estimate not only respiratory rate but also tidal volume, we expect that the proposed method can enhance the reliability and utility of IoMT devices with ECG.
{"title":"Wavelet-based ECG-derived Respiration Denoising","authors":"Chanki Park, Seungyoon Nam, J. Bautista, Hyunsoon Shin","doi":"10.1109/ICCSPA55860.2022.10019162","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019162","url":null,"abstract":"We propose a wavelet-based EDR (Electrocardiogram derived respiration) denoising algorithm. When a QRS complex of ECG is misdetected, EDR is abruptly corrupted by huge noise. To mitigate such noise, we employed wavelet transform and likelihood functions (Gaussian mixture model and Laplace distribution). Likelihood based hard thresholding was performed for wavelet coefficients and it effectively eliminated noise in EDR signal. To verify the algorithms, we used the MIT-MIMIC open source data with simulated spike random noise. Most correlation coefficients and mean absolute errors of filtered EDRs were significantly higher and lower than those of contaminated EDRs ($p < 0.0001$), respectively. Since EDR can be used to estimate not only respiratory rate but also tidal volume, we expect that the proposed method can enhance the reliability and utility of IoMT devices with ECG.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133451529","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 : 2022-12-27DOI: 10.1109/ICCSPA55860.2022.10019094
S. Ghandiparsi, D. B. Hamadou, D. Varam, A. Soufi, T. Landolsi, A. Elrefaie, A. Mayet, C. Pérez, Ekaterina Ponizovskaya Devine, S. Y. Wang, T. Yamada, M. Islam
Silicon photodiodes (SiPD) with positivc-intrinsic-negative (PIN) structures are expected to play an important role in reducing the cost of datacenter interconnects. This paper presents the simulation results for two types of PIN SiPD devices. The simulation is carried using the Device Suite from Ansys' Lumerical package. The study considers both the steady-state and transient regimes with either abrupt or diffused doping with a reverse bias of −3V. For the first device, referred to as structure a), with abrupt doping, the simulation package produced a full-width half-maximum (FWHM) of 13.0 ps and a 3-dB transit-limited bandwidth of 11.5 GHz at the anode. The respective cathode results were surprisingly 14.0 ps and 12.8 GHz. The simulation of structure a) with diffused doping did not produce a significant difference in the FWHM and transit-limited bandwidth results. However, the simulation of the second device, referred to as structure b), with abrupt doping yielded a FWHM of 11.5 ps at the anode and 16.0 ps at the cathode. The respective bandwidths were 7.9 GHz and 9.1 GHz. The preliminary results for the anode and cathode currents were consistent between the small-scale and large-scale structures.
{"title":"Lumerical Simulation of Surface-illuminated Silicon PIN Photodiodes for Datacenter Interconnects","authors":"S. Ghandiparsi, D. B. Hamadou, D. Varam, A. Soufi, T. Landolsi, A. Elrefaie, A. Mayet, C. Pérez, Ekaterina Ponizovskaya Devine, S. Y. Wang, T. Yamada, M. Islam","doi":"10.1109/ICCSPA55860.2022.10019094","DOIUrl":"https://doi.org/10.1109/ICCSPA55860.2022.10019094","url":null,"abstract":"Silicon photodiodes (SiPD) with positivc-intrinsic-negative (PIN) structures are expected to play an important role in reducing the cost of datacenter interconnects. This paper presents the simulation results for two types of PIN SiPD devices. The simulation is carried using the Device Suite from Ansys' Lumerical package. The study considers both the steady-state and transient regimes with either abrupt or diffused doping with a reverse bias of −3V. For the first device, referred to as structure a), with abrupt doping, the simulation package produced a full-width half-maximum (FWHM) of 13.0 ps and a 3-dB transit-limited bandwidth of 11.5 GHz at the anode. The respective cathode results were surprisingly 14.0 ps and 12.8 GHz. The simulation of structure a) with diffused doping did not produce a significant difference in the FWHM and transit-limited bandwidth results. However, the simulation of the second device, referred to as structure b), with abrupt doping yielded a FWHM of 11.5 ps at the anode and 16.0 ps at the cathode. The respective bandwidths were 7.9 GHz and 9.1 GHz. The preliminary results for the anode and cathode currents were consistent between the small-scale and large-scale structures.","PeriodicalId":106639,"journal":{"name":"2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133652911","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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