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Energy-aware Multiple Access Using Deep Reinforcement Learning 使用深度强化学习的能量感知多访问
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544417
H. Mazandarani, S. Khorsandi
{"title":"Energy-aware Multiple Access Using Deep Reinforcement Learning","authors":"H. Mazandarani, S. Khorsandi","doi":"10.1109/ICEE52715.2021.9544417","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544417","url":null,"abstract":"Deep Reinforcement Learning (DRL), as an emerging trend in the reinforcement learning paradigm, has recently been used for multiple access of wireless nodes to frequency spectrum. Although existing research works are promising in terms of frequency spectrum utilization, the concept of energy-awareness is missing. Nevertheless, the high energy-consumption of DRL algorithms is a serious concern, especially in battery-constrained Internet of Things (IoT) nodes. In this paper, a simple yet effective mechanism is introduced to reduce state size of the DRL algorithm, which results in reduction of energy consumption for IoT nodes. Our simulations indicate that state size can be reduced, without significant change in the system performance.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125401739","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}
引用次数: 0
Image steganography Based on Chaos Permutation, Authentication and Wiener Deconvolution 基于混沌置换、认证和维纳反卷积的图像隐写
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544383
A. Sheidaee, M. Asadpour, Leili Farzinvash
{"title":"Image steganography Based on Chaos Permutation, Authentication and Wiener Deconvolution","authors":"A. Sheidaee, M. Asadpour, Leili Farzinvash","doi":"10.1109/ICEE52715.2021.9544383","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544383","url":null,"abstract":"Image steganography refers to hiding a secret image into another meaningful one. Researchers have employed different algorithms such as wavelet transform, discrete cosine transform functions to transform secret image and different image processing algorithms like image encryption utilized to reach better stego images in case of imperceptibility and robustness. In most of researches, higher robustness methods have lower impeccability and vice versa. In this paper, we propose an adaptive LSB method using chaos permutation, DCT, and secret image authentication to increase both imperceptibility and robustness. Chaos permutation is a key feature in our work to improve the robustness of secret image against attacks and wiener filter deconvolution is employed to extract a clear secret image in receiver side, which has the lowest noise in comparison with the original secret image. The improvement of our proposed method have been analyzed and evaluated by different criteria such as PSNR, SSIM and Histogram plots.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349915","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}
引用次数: 0
An Open-Loop Time Amplifier With Zero-Gain Delay in Output for Coarse-Fine Time to Digital Converters 一种输出增益为零的开环时间放大器，用于粗-细时间数字转换器
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544270
S. M. Golzan, J. Sobhi, Z. D. Koozehkanani
{"title":"An Open-Loop Time Amplifier With Zero-Gain Delay in Output for Coarse-Fine Time to Digital Converters","authors":"S. M. Golzan, J. Sobhi, Z. D. Koozehkanani","doi":"10.1109/ICEE52715.2021.9544270","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544270","url":null,"abstract":"We present a new approach to an open-loop time amplifier. The proposed architecture achieves a time gain between 2 and 16 with zero-time duration to access the required gain. The input time difference range depending on the used gain varies from 6ns (for gain=2) to 781ps (for gain=16). We observed a measured maximum gain error of 3.75%. This structure is used in a 9-bit Time to Digital Converter (TDC) to obtain the digital output code. The design's parameter has been simulated in 0.18um CMOS technology. Corresponding to 9bits resolution, the simulation results show a minimum time resolution of 3.75ps and a maximum dynamic range of 1.92ns.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124475941","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}
引用次数: 0
Smartly, reduce the latency of high-priority vehicles using loT technology 巧妙地，使用loT技术减少高优先级车辆的延迟
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544370
Mahdi Talebi, M. Sabaei
{"title":"Smartly, reduce the latency of high-priority vehicles using loT technology","authors":"Mahdi Talebi, M. Sabaei","doi":"10.1109/ICEE52715.2021.9544370","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544370","url":null,"abstract":"In this article, an attempt has been made to use IoT technology to provide a solution to facilitate the transportation of emergency vehicles in the city. Prioritizing emergency vehicles in transportation systems has always been one of the needs of human societies today, and this need has been partially met with the help of some tools. Due to the increasing traffic in metropolitan areas, the need for a precise system to determine these priorities is felt more than ever. To this end, efforts have been made to increase the accuracy of decisions by increasing the available sources of information. Prioritization for emergency vehicles is possible in various ways, and in the meantime, prioritization of them at intersections has been considered. In this way, emergency vehicles will experience the least amount of delay when crossing intersections. Therefore, the system continuously and intermittently collects information about the emergency vehicle and its route. Based on this information, the system selects the best possible route for the emergency vehicle and then estimates the time it takes for the vehicle to reach the first traffic light along the route, determining the duration of each of those traffic lights.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124678509","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}
引用次数: 1
$mathscr{L}_{1}$ Adaptive Control Design Using CMPC: Applied to Single-Link Flexible Joint Manipulator $mathscr{L}_{1}$基于CMPC的自适应控制设计:应用于单连杆柔性关节机械手
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544161
Hossein Ahmadian, H. Talebi, I. Sharifi
{"title":"$mathscr{L}_{1}$ Adaptive Control Design Using CMPC: Applied to Single-Link Flexible Joint Manipulator","authors":"Hossein Ahmadian, H. Talebi, I. Sharifi","doi":"10.1109/ICEE52715.2021.9544161","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544161","url":null,"abstract":"Controlling flexible robots is a challenging issue for a variety of reasons, including: highly nonlinear dynamics, strong coupling, time-varying specifications, vibration and deviation. In addition, the existence of dependent uncertainties on their dynamics and kinematics is inevitable, so that accurate models for controller design are not available in such systems. In this paper, one “$mathscr{L}_{1}$ adaptive controller $({mathscr{L}_{1}}_{text{AC}})$” using “continuous-time model predictive control (CMPC)” is proposed on position tracking and removing vibration and deviation in “single-link flexible joint manipulator (SLFJM)” with existence of the unknown nonlinear dynamics and uncertainties. Eventually, in order to evaluate the efficiency of the proposed method, this method is simulated on SLFJM and the results are compared with conventional ${mathscr{L}_{1}}_{text{AC}}$ and “Model Reference Adaptive Control (MRAC)” methods.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121402577","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}
引用次数: 0
Q-Learning-Oriented Distributed Energy Management of Grid-Connected Microgrid 面向q学习的并网微电网分布式能量管理
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544152
Esmat Samadi, A. Badri, R. Ebrahimpour
{"title":"Q-Learning-Oriented Distributed Energy Management of Grid-Connected Microgrid","authors":"Esmat Samadi, A. Badri, R. Ebrahimpour","doi":"10.1109/ICEE52715.2021.9544152","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544152","url":null,"abstract":"In this paper11This work is supported by Niroo Research Institute (NRI)., reinforcement learning (RL) is used for energy management of agent based microgrid (MG). The Grid connected MG that contains wind turbine, fuel cell (FC), diesel generator and electric vehicle (EV) to supply its demands, is modeled as a multi-agent system (MAS). The DER and customer are considered as self-interested agents that try to maximize their profits and optimize their behavior. These agents use RL to interact with each other in distributed manner without any direct communication. The market operator of MG is responsible to gather agents' data that have been submitted and clears the market to meet the desired goals. Modeling the stochastic nature of wind power generation and demand fluctuation of customer agents, implementing demand side management program for customer agents, besides taking into account the technical constraint of diesel generator, FC and EV agent are the main strengths of this paper. The simulation results confirm the efficiency of the proposed approach.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126194544","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}
引用次数: 0
A Time-Distributed Convolutional Long Short-Term Memory for Hand Gesture Recognition 一种用于手势识别的时间分布卷积长短期记忆
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544445
Mehdi Fatan Serj, Mersad Asgari, Bahram Lavi, Domènec Puig Valls, Miguel Angel Garcia
{"title":"A Time-Distributed Convolutional Long Short-Term Memory for Hand Gesture Recognition","authors":"Mehdi Fatan Serj, Mersad Asgari, Bahram Lavi, Domènec Puig Valls, Miguel Angel Garcia","doi":"10.1109/ICEE52715.2021.9544445","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544445","url":null,"abstract":"The applications of human-robot interaction have recently raised many research interests, and hand gesture recognition to recognize human gestures in video-based problems is one of them. In the recent decade, deep learning techniques have proven their promising performance in the fields of pattern recognition and computer vision. This study presents an improved version of the Convolutional Neural Network in combination with Long Short-Term Memory for hand gesture recognition. The proposed structure is fully considered in a time-distributed framework to effectively train the network of the frame-level classification. Hence, employing a time-distributed framework, a TD-CNN-LSTM method is developed. Finally, the efficacy of our proposed architecture is evaluated on the recent publicly available GRIT corpus dataset, and we also show that our method outperforms the recent state of the art CNN-LSTM method.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125942789","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}
引用次数: 2
Investigation of electric stresses caused by applying DC and AC Voltages on the insulation of converter transformers 直流和交流电压对换流变压器绝缘产生的电应力的研究
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544148
A. Sharifi, A. Akbari, P. Werle, Keyvan Rasti
{"title":"Investigation of electric stresses caused by applying DC and AC Voltages on the insulation of converter transformers","authors":"A. Sharifi, A. Akbari, P. Werle, Keyvan Rasti","doi":"10.1109/ICEE52715.2021.9544148","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544148","url":null,"abstract":"The insulation system of converter transformers is more stressed electrically than of AC transformers while both types use the same insulation materials. However, the structure of insulation around valve winding in converter transformers is designed for withstanding AC and DC electric fields. In the DC field, electrical conductivity is the most important factor influencing the electric field distribution. Moreover, the electric conductivity is strongly dependent on the temperature and electric field. In this article, the dielectric parameters (DC conductivity and relative permittivity) were used in the COMSOL model to investigate the variation of electric field distribution at different temperatures and AC, DC and hybrid fields. The electrical conductivity of oil and pressboard was defined constant for simplicity. The results showed the great effect of temperature and DC voltage percentage on the electric field strength of pressboards used in the converter transformers.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126874983","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}
引用次数: 0
Leader-Following $H_{infty}$ Fault-Tolerant Consensus of Nonlinear Multi-agent Systems with External Disturbances 领导跟随 $H_{infty}$ 具有外部干扰的非线性多智能体系统的容错一致性
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544374
M. Salimifard, H. Talebi
{"title":"Leader-Following $H_{infty}$ Fault-Tolerant Consensus of Nonlinear Multi-agent Systems with External Disturbances","authors":"M. Salimifard, H. Talebi","doi":"10.1109/ICEE52715.2021.9544374","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544374","url":null,"abstract":"This paper presents an active robust fault-tolerant consensus control of nonlinear Multi-Agent Systems (MASs) with external disturbances. It is assumed that the states of the follower agents are not available for measurement. Moreover, they might be simultaneously subjected to multiplicative actuator faults. Therefore, an integrated design and analysis of an observer-based fault estimation and fault-tolerant cooperative control schemes will be proposed. In this regard, a fuzzy wavelet neural network is introduced in order to approximate the unknown time-varying multiplicative fault function. Further, a decentralized robust $H_{infty}$ fault-tolerant consensus protocol using linear matrix inequalities will be developed. Finally, a simulation is presented to demonstrate the benefits of the proposed algorithm.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130686701","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}
引用次数: 1
Attractor Manipulation in Denoising Autoencoders for Robust Phone Recognition 鲁棒手机识别降噪自编码器中的吸引子操作
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9543707
Shaghayegh Reza, S. Seyyedsalehi, Seyyede Zohreh Seyyedsalehi
{"title":"Attractor Manipulation in Denoising Autoencoders for Robust Phone Recognition","authors":"Shaghayegh Reza, S. Seyyedsalehi, Seyyede Zohreh Seyyedsalehi","doi":"10.1109/ICEE52715.2021.9543707","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9543707","url":null,"abstract":"Autoencoder Neural Networks can filter unwanted variabilities; however, their performance will degrade if their attractors and their basins of attraction are not correctly adjusted. This paper proposes a heuristic method to increase attractors shaped in desired points and expand their basins of attraction. These well-formed attractors can compensate variabilities and hence increase the chance of robust recognition. This method's effectiveness is shown on synthetic data and is compared with another attractor manipulation method called the cyclic method. This method's performance on the phone recognition task has shown 22.1 percent relative increase in the number of attractors and 4.2 percent relative improvement in the phone error rate on the Farsdat database.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131847654","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}
引用次数: 2
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