Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708354
Bidyut Jyoti Boruah, A. K. Talukdar, K. K. Sarma
A hand gesture recognition system is a natural and simple way of communicating in today’s world. The development of teaching methods by using technology-dependent useful items to increase communication and interaction between the teacher and the student is a major part of today’s e-learning. In this paper, we have proposed an interactive learning-aid tool based on a vision-based hand gesture recognition system. The system uses MediaPipe for hand gesture recognition. The recognized hand gestures use a virtual-mouse-based object controlling system to control various virtual objects created using Unity. The system has been tested using six hand gestures and it is found that the system can be used effectively for controlling various virtual objects.
{"title":"Development of a Learning-aid tool using Hand Gesture Based Human Computer Interaction System","authors":"Bidyut Jyoti Boruah, A. K. Talukdar, K. K. Sarma","doi":"10.1109/ACTS53447.2021.9708354","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708354","url":null,"abstract":"A hand gesture recognition system is a natural and simple way of communicating in today’s world. The development of teaching methods by using technology-dependent useful items to increase communication and interaction between the teacher and the student is a major part of today’s e-learning. In this paper, we have proposed an interactive learning-aid tool based on a vision-based hand gesture recognition system. The system uses MediaPipe for hand gesture recognition. The recognized hand gestures use a virtual-mouse-based object controlling system to control various virtual objects created using Unity. The system has been tested using six hand gestures and it is found that the system can be used effectively for controlling various virtual objects.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836928","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708111
Aneeta Christopher, R. Harikishan, P. Sudeep
Recently, deep learning methods are employed for image restoration tasks. An unsupervised learning technique is appropriate for many real time applications due to the scarcity of a large amount of data for training. The conventional deep image prior (DIP) is a CNN based denoiser prior that perform different image restoration tasks by using only a single degraded image. Alternating Direction Method of Multipliers (ADMM) framework over a standard sub-gradient method has already been proposed with DIP method. Inspired by this, we propose a variant of ADMM-DIP method for enhancing single coil magnitude magnetic resonance (MR) images. It is well known that the noise distribution in single coil magnitude MR images is stationary Rician. We achieve the Rician noise removal from single MR image by utilizing the combined effect of MSE, KL divergence and perceptual loss functions. Also, the attention guided dense upsampling network (AUNet) was engaged as the CNN denoiser prior. Our experiments on simulated MR images indicate a better performance of the proposed method. We evaluated different denoising methods both qualitatively and quantitatively.
{"title":"ADMM based Deep Denoiser Prior for Enhancing Single Coil Magnitude MR images","authors":"Aneeta Christopher, R. Harikishan, P. Sudeep","doi":"10.1109/ACTS53447.2021.9708111","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708111","url":null,"abstract":"Recently, deep learning methods are employed for image restoration tasks. An unsupervised learning technique is appropriate for many real time applications due to the scarcity of a large amount of data for training. The conventional deep image prior (DIP) is a CNN based denoiser prior that perform different image restoration tasks by using only a single degraded image. Alternating Direction Method of Multipliers (ADMM) framework over a standard sub-gradient method has already been proposed with DIP method. Inspired by this, we propose a variant of ADMM-DIP method for enhancing single coil magnitude magnetic resonance (MR) images. It is well known that the noise distribution in single coil magnitude MR images is stationary Rician. We achieve the Rician noise removal from single MR image by utilizing the combined effect of MSE, KL divergence and perceptual loss functions. Also, the attention guided dense upsampling network (AUNet) was engaged as the CNN denoiser prior. Our experiments on simulated MR images indicate a better performance of the proposed method. We evaluated different denoising methods both qualitatively and quantitatively.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839983","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708154
A. Singh, R. Chandan, S. Pal
This paper presents a parametric analysis of a substrate integrated waveguide fed slot antenna for Ka-band application. The slot’s comprehensive behavior and its resonance frequency dependence on its dimension, translational and rotational position, have been analyzed. The optimal return loss for the microstrip to SIW transition has been investigated by maximizing the tapering dimension for the Ka-band of operation by using a commercial 3D electromagnetic CST Microwave Studio Design Suit. The slot antenna resonates at various frequencies following parametric variation. For the study, 27.74 GHz resonance points have been considered, as it comes under the 28 GHz band spectrum. For this bandwidth, the broadside gain is more than 6 dB. Radiation efficiency typically stays over 75 percent across the whole operating band. The co-polarization to cross-polarization deviation for both XZ and YZ planes is more than 40 dB at the resonance point.
{"title":"Study of Substrate Integrated Waveguide Fed Slot Antenna for Ka Band Application","authors":"A. Singh, R. Chandan, S. Pal","doi":"10.1109/ACTS53447.2021.9708154","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708154","url":null,"abstract":"This paper presents a parametric analysis of a substrate integrated waveguide fed slot antenna for Ka-band application. The slot’s comprehensive behavior and its resonance frequency dependence on its dimension, translational and rotational position, have been analyzed. The optimal return loss for the microstrip to SIW transition has been investigated by maximizing the tapering dimension for the Ka-band of operation by using a commercial 3D electromagnetic CST Microwave Studio Design Suit. The slot antenna resonates at various frequencies following parametric variation. For the study, 27.74 GHz resonance points have been considered, as it comes under the 28 GHz band spectrum. For this bandwidth, the broadside gain is more than 6 dB. Radiation efficiency typically stays over 75 percent across the whole operating band. The co-polarization to cross-polarization deviation for both XZ and YZ planes is more than 40 dB at the resonance point.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116065332","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708184
Srikanth Burra, Asutosh Kar
The acoustic echo canceller developed based on a linear echo path suffers performance degradation due to distortion induced by the electronic components in hands-free devices. Recently kernel-based approach is proposed to minimize the effects of distortion. Here, the distortion is modeled using the kernel method. However, there exists a scope to further enhance the performance of echo cancellers. In this work, we propose an improved variant of the kernel approach for enhancing the performance by maintaining a better trade-off between the rate of convergence and steady-state. Simulation results show that the proposed approach was able to perform better than the existing kernel method in minimizing the impact of the sigmoidal-based saturation distortion on the echo cancellation performance.
{"title":"Adaptive Kernelized Subfilter Nonlinear AEC Algorithm","authors":"Srikanth Burra, Asutosh Kar","doi":"10.1109/ACTS53447.2021.9708184","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708184","url":null,"abstract":"The acoustic echo canceller developed based on a linear echo path suffers performance degradation due to distortion induced by the electronic components in hands-free devices. Recently kernel-based approach is proposed to minimize the effects of distortion. Here, the distortion is modeled using the kernel method. However, there exists a scope to further enhance the performance of echo cancellers. In this work, we propose an improved variant of the kernel approach for enhancing the performance by maintaining a better trade-off between the rate of convergence and steady-state. Simulation results show that the proposed approach was able to perform better than the existing kernel method in minimizing the impact of the sigmoidal-based saturation distortion on the echo cancellation performance.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127980583","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708383
Anusaya Swain, S. Hiremath, Koushik Batchu, Vijay Kumar
Over the past years, the demand to meet the bandwidth requirement forces us to increase the carrier frequency used for wireless communication. To fulfill the rapid increase of mobile data demand the research community addressed the development of wide radio bands such as millimeter wave (mmW) frequencies and others were attracted towards the optical communication frequency which allowed high data rates, better physical security, and avoids the interference of electromagnetic waves. With an exponential rise in the data traffic the terahertz frequency band seems to be promising to support the next generation wireless network beyond fifth-generation (5G) as well as bridging a gap between optical frequency range and millimeter wave frequency range. This paper provides a review on key technologies encountered in THz wireless communication systems such as channel modeling, beamforming, and beam tracking using Massive MIMO and use of artificial intelligence (AI) based framework to meet the future demands for future generation networks and also provide a case study on THz channel modeling using the machine learning technique. It also throws light on the challenges faced in THz communication.
{"title":"Recent Trends in Terahertz Communication: Applications and Open Research Problems","authors":"Anusaya Swain, S. Hiremath, Koushik Batchu, Vijay Kumar","doi":"10.1109/ACTS53447.2021.9708383","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708383","url":null,"abstract":"Over the past years, the demand to meet the bandwidth requirement forces us to increase the carrier frequency used for wireless communication. To fulfill the rapid increase of mobile data demand the research community addressed the development of wide radio bands such as millimeter wave (mmW) frequencies and others were attracted towards the optical communication frequency which allowed high data rates, better physical security, and avoids the interference of electromagnetic waves. With an exponential rise in the data traffic the terahertz frequency band seems to be promising to support the next generation wireless network beyond fifth-generation (5G) as well as bridging a gap between optical frequency range and millimeter wave frequency range. This paper provides a review on key technologies encountered in THz wireless communication systems such as channel modeling, beamforming, and beam tracking using Massive MIMO and use of artificial intelligence (AI) based framework to meet the future demands for future generation networks and also provide a case study on THz channel modeling using the machine learning technique. It also throws light on the challenges faced in THz communication.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133242265","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708360
Durga Prasad Mishra, S. Behera
To date, Chipless Radio Frequency Identification (RFID) has become one of the prominent methods for identifying and detecting objects. The advantage of tagging technology over optical barcodes is that it does not rely on line-of-sight communication. In this paper, the design, simulation, and fabrication of chipless RFID transponders, based on the square Split-Ring Resonators (SRR) and the Koch-island fractal of the third iteration are analyzed. The Radar Cross Section (RCS) and frequency coding techniques are investigated along with a comparison, showing the vital features like physical footprint and spatial density etc. of the transponders. It leads to the cost reduction in tag manufacturing which is suitable for mass industrial production. The maximum RCS are found to be −20.90 dBsm and −25.6 dBsm for transponders 1 and 2 respectively. The spatial densities are found to be 0.125 bits/mm2 for tag 1 and 0.041 bits/mm2 for tag 2.
{"title":"Passive RFID Transponders Based on SRR and Koch-island Fractal for Bit-Coding Enhancement","authors":"Durga Prasad Mishra, S. Behera","doi":"10.1109/ACTS53447.2021.9708360","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708360","url":null,"abstract":"To date, Chipless Radio Frequency Identification (RFID) has become one of the prominent methods for identifying and detecting objects. The advantage of tagging technology over optical barcodes is that it does not rely on line-of-sight communication. In this paper, the design, simulation, and fabrication of chipless RFID transponders, based on the square Split-Ring Resonators (SRR) and the Koch-island fractal of the third iteration are analyzed. The Radar Cross Section (RCS) and frequency coding techniques are investigated along with a comparison, showing the vital features like physical footprint and spatial density etc. of the transponders. It leads to the cost reduction in tag manufacturing which is suitable for mass industrial production. The maximum RCS are found to be −20.90 dBsm and −25.6 dBsm for transponders 1 and 2 respectively. The spatial densities are found to be 0.125 bits/mm2 for tag 1 and 0.041 bits/mm2 for tag 2.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134052602","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708289
H. Pal, Adarsh Kumar, A. Vishwakarma
The electrocardiogram (ECG) is a salient signal that is commonly utilized to diagnose heart patients. The recording of ECG signals generates a large amount of data when continuous monitoring of the heart is necessary. Hence, there is a strong motivation to develop a suitable compression technique to minimize bandwidth and memory requirements. In this context, this work proposes a compression technique using tunable-Q wavelet transform (TQWT) and an optimized dead-zone quantizer (ODZQ). The TQWT is used for the decomposition of ECG signal and DZQ for thresholding and quantization. The swarm-based method, particle swarm optimization (PSO) is used to obtain the optimized threshold values. The compressed signal is obtained by thresholding, quantization, and encoding of quantized coefficients. Encoding is performed by utilizing run-length encoding (RLE), which helps to achieve further compression. The proposed method is assessed using percentage-root-mean square difference (PRD), compression ratio (CR), and quality score (QS). The obtained results from the proposed method are CR=17.2553, PRD=2.9360, and QS=6.4354.
{"title":"TQWT based Electrocardiogram Compression using Optimized Thresholding","authors":"H. Pal, Adarsh Kumar, A. Vishwakarma","doi":"10.1109/ACTS53447.2021.9708289","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708289","url":null,"abstract":"The electrocardiogram (ECG) is a salient signal that is commonly utilized to diagnose heart patients. The recording of ECG signals generates a large amount of data when continuous monitoring of the heart is necessary. Hence, there is a strong motivation to develop a suitable compression technique to minimize bandwidth and memory requirements. In this context, this work proposes a compression technique using tunable-Q wavelet transform (TQWT) and an optimized dead-zone quantizer (ODZQ). The TQWT is used for the decomposition of ECG signal and DZQ for thresholding and quantization. The swarm-based method, particle swarm optimization (PSO) is used to obtain the optimized threshold values. The compressed signal is obtained by thresholding, quantization, and encoding of quantized coefficients. Encoding is performed by utilizing run-length encoding (RLE), which helps to achieve further compression. The proposed method is assessed using percentage-root-mean square difference (PRD), compression ratio (CR), and quality score (QS). The obtained results from the proposed method are CR=17.2553, PRD=2.9360, and QS=6.4354.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124588233","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708242
Byomakesh Mahapatra, Anuradha Verma, Deepika Gupta, Pankaj Sharma, A. K. Turuk
In the fifth-generation (5G) network, dependency on the cellular platforms increases due to an increase in the number of cellular and wireless devices. In such network, a hotspot situation arises when the user density goes beyond the threshold capacity. To reduce the load of this hotspot we have proposed a traffic-aware proactive load balancing (TPLBA) strategy. This strategy used a feedback approach to monitor and control the traffic load at the cellular base station or gNodeB. When the traffic load goes beyond a certain value, the main control unit (MCU) present at the base band unit (BBU) takes preventive actions by putting one or more number of F-RRHs at the probable hotspot. These F-RRH share the traffic load of the gNB to maintain the quality-of-service (QoS) of the cellular network. To implement the proposed strategy, we have used Tu-Vienna LTE simulator. Further, the simulation results show that the proposed TPLBA algorithm significantly improves the QoS by improving UE throughput, UE spectral efficiency, and blocking probability.
在第五代(5G)网络中，由于蜂窝和无线设备数量的增加，对蜂窝平台的依赖性增加。在这种网络中，当用户密度超过阈值容量时，就会出现热点现象。为了减少该热点的负载，我们提出了一种流量感知的主动负载平衡(TPLBA)策略。该策略使用反馈方法来监视和控制蜂窝基站或gndeb上的流量负载。当业务负载超过一定值时，BBU (base band unit)所在的MCU (main control unit)通过在可能的热点位置放置一个或多个f - rrh来采取预防措施。这些F-RRH分担gNB的流量负载，以维持蜂窝网络的QoS (quality-of-service)。为了实现所提出的策略，我们使用了Tu-Vienna LTE模拟器。仿真结果表明，TPLBA算法通过提高UE吞吐量、UE频谱效率和阻塞概率，显著提高了QoS。
{"title":"Traffic-Aware UAV Placement Strategies for Load Balancing in 5G Cellular Hotspots","authors":"Byomakesh Mahapatra, Anuradha Verma, Deepika Gupta, Pankaj Sharma, A. K. Turuk","doi":"10.1109/ACTS53447.2021.9708242","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708242","url":null,"abstract":"In the fifth-generation (5G) network, dependency on the cellular platforms increases due to an increase in the number of cellular and wireless devices. In such network, a hotspot situation arises when the user density goes beyond the threshold capacity. To reduce the load of this hotspot we have proposed a traffic-aware proactive load balancing (TPLBA) strategy. This strategy used a feedback approach to monitor and control the traffic load at the cellular base station or gNodeB. When the traffic load goes beyond a certain value, the main control unit (MCU) present at the base band unit (BBU) takes preventive actions by putting one or more number of F-RRHs at the probable hotspot. These F-RRH share the traffic load of the gNB to maintain the quality-of-service (QoS) of the cellular network. To implement the proposed strategy, we have used Tu-Vienna LTE simulator. Further, the simulation results show that the proposed TPLBA algorithm significantly improves the QoS by improving UE throughput, UE spectral efficiency, and blocking probability.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131304685","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 : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708341
M. Philip, Poonam Singh
The battery life of sensor nodes in a wireless sensor network (WSN) is usually limited. In most Internet of Things (IoT) applications, sensor nodes must operate reliably for a longer duration. Energy efficiency is crucial for extending the lifetime of sensor nodes. In addition, the radio settings should withstand a better data rate transmission while maintaining energy efficiency. LoRa/LoRaWAN is a low-power wide-area network (LPWAN) technology that has recently received a lot of interest. This work proposes a LoRa-based energy consumption model that can be used to estimate the amount of energy each sensor node element in a WSN consumes. The effect of sensing interval and spreading factor on battery lifetime is discussed to determine its effects, when used for field application.
{"title":"Energy Consumption Evaluation of LoRa Sensor Nodes in Wireless Sensor Network","authors":"M. Philip, Poonam Singh","doi":"10.1109/ACTS53447.2021.9708341","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708341","url":null,"abstract":"The battery life of sensor nodes in a wireless sensor network (WSN) is usually limited. In most Internet of Things (IoT) applications, sensor nodes must operate reliably for a longer duration. Energy efficiency is crucial for extending the lifetime of sensor nodes. In addition, the radio settings should withstand a better data rate transmission while maintaining energy efficiency. LoRa/LoRaWAN is a low-power wide-area network (LPWAN) technology that has recently received a lot of interest. This work proposes a LoRa-based energy consumption model that can be used to estimate the amount of energy each sensor node element in a WSN consumes. The effect of sensing interval and spreading factor on battery lifetime is discussed to determine its effects, when used for field application.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131698648","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 : 2021-12-15DOI: 10.1109/acts53447.2021.9708304
{"title":"[ACTS 2021 Front cover]","authors":"","doi":"10.1109/acts53447.2021.9708304","DOIUrl":"https://doi.org/10.1109/acts53447.2021.9708304","url":null,"abstract":"","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527867","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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