2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)最新文献

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Online Self Tuning of Parameters of a PID Controller that Uses a Radial Basis Neural Network 基于径向基神经网络的PID控制器参数在线自整定
A. Pal, T. Nestorović
{"title":"Online Self Tuning of Parameters of a PID Controller that Uses a Radial Basis Neural Network","authors":"A. Pal, T. Nestorović","doi":"10.1109/ICECCME52200.2021.9591013","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9591013","url":null,"abstract":"A proportional-integral-derivative (PID) controller is one of the most popular and commonly used controllers. Although this controller has been established as a control standard, still it has to cope with some difficulties. Tuning the parameters (proportional, integral and derivative gains) of a PID controller manually requires a large experience and can be a tedious task. In this work, we propose an optimization based approach to automatically tune these three parameters as the system is driven towards its desired behaviour. The parameters of the PID controller are tuned using a neural network (NN) with a radial basis (RB) activation function, while the parameters of the NN are optimized using a stochastic gradient descent (SGD) algorithm. This enables the system to learn online in realtime. Further, this method is tested in Simulink environment on a benchmark of the vibration suppression for a clamped-free flexible aluminum beam. The starting point for the controller design is the model of the beam obtained through the subspace model identification. Further on, using the NN the model update is performed along with the PID parameter optimization.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618164","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
Pose Estimation of Hurdles Athletes using OpenPose 跨栏运动员使用OpenPose的姿势估计
Pouya Jafarzadeh, Petra Virjonen, P. Nevalainen, F. Farahnakian, J. Heikkonen
{"title":"Pose Estimation of Hurdles Athletes using OpenPose","authors":"Pouya Jafarzadeh, Petra Virjonen, P. Nevalainen, F. Farahnakian, J. Heikkonen","doi":"10.1109/ICECCME52200.2021.9591066","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9591066","url":null,"abstract":"Automatic athlete pose estimation from images has recently received considerable attention from the computer vision community to understand the correct pose of athletes during training or competitions. However, human pose estimation from images or videos is still a challenging task because of inadequate training data, depth obscurity, and occlusion. In this paper, we presented a real-time 2D athlete pose estimation system based on OpenPose [1]. The system captured 2D positions of a hurdles athlete's body parts such as wrists, ankles, hips and knees from an image. For experiments, we recorded videos from a top-tier athlete in hurdling to infer motion timing and kinematic parameters. We also explore the performance of different feature extractorsin OpenPose in terms of accuracy and run-time. Experimental results show that the system with the extended version of VGG19 [2] as feature extractor outperforms the other algorithms.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801714","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: 8
Spatio-Temporal Behaviour of Femtosecond Solitons in Graded-Index Multimode Fibers 梯度折射率多模光纤中飞秒孤子的时空行为
F. Mangini, M. Zitelli, M. Ferraro, Oleg Sidelnikov Nonlinear, S. Wabnitz
{"title":"Spatio-Temporal Behaviour of Femtosecond Solitons in Graded-Index Multimode Fibers","authors":"F. Mangini, M. Zitelli, M. Ferraro, Oleg Sidelnikov Nonlinear, S. Wabnitz","doi":"10.1109/ICECCME52200.2021.9590944","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590944","url":null,"abstract":"We present a new class of spatiotemporal walk-off solitons in graded-index multimode optical fibers, characterized by unique properties. Their energies and pulsewidths depend only on chromatic and modal dispersion of the fiber, and on the input laser beam coupling conditions. Whereas the soliton properties are independent of the input pulse duration. The generated multimode solitons are composed by non-degenerate modes. However, upon propagation over distances comprising several hundreds of meters, the multimode solitons naturally evolve into singlemode pulses. For this reason, walk-off solitons are metastable objects, which are irreversibly attracted by the fundamental mode of the fiber.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122492503","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
Community Hatred Detection Using Deep Learning on social media in an IoT Environment 在物联网环境下的社交媒体上使用深度学习进行社区仇恨检测
Gaurav Tripathi, Shubham Natraj
{"title":"Community Hatred Detection Using Deep Learning on social media in an IoT Environment","authors":"Gaurav Tripathi, Shubham Natraj","doi":"10.1109/ICECCME52200.2021.9590883","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590883","url":null,"abstract":"Violence detection has always been a key surveillance features in urban environment. Social media can incite hatred resulting in violent crowd triggers. Hateful content against any community practice can give rise to extremism and pungent behavior. Automatic detection of hateful behavior on social media can enable law agencies to prepare for the resulting situations. The paper tries to establish the link between social media hate speeches and crowd behavior which can trigger the violence in cities. The paper proposes a novel solution to integrate the Internet of Tings (IoT) devices with social media analysis system. The proposed approach establishes a clear link between quantitative effects of community hate content on social media and resulting crowd violence in cities. We have utilized conventional deep learning architecture to classify the hate speeches and ensuing violence detection. Effective monitoring of social media speeches can be helpful in analysis of conversion of hate in to violent act.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121237361","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
Cell-Free Massive MIMO Communication as Pillar of 6G Networks 无蜂窝大规模MIMO通信作为6G网络的支柱
N. Al-Batati, N. Rikli
{"title":"Cell-Free Massive MIMO Communication as Pillar of 6G Networks","authors":"N. Al-Batati, N. Rikli","doi":"10.1109/ICECCME52200.2021.9590885","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590885","url":null,"abstract":"It is expected that within the next decade, the worldwide network will experience massive changes including the infrastructure and related technologies in order to support the expected drastic developments. In this survey we overview the upcoming generation communication network and focus on the cell free massive MIMO as a promising technology that has a full-case of challenges","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126837148","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
AI-Based Behavioral Competency Assessment Tool to Enhance Navigational Safety 基于人工智能的航行安全行为能力评估工具
Liu Lili, Virdi Satinder Singh, Samuel Hon, Diem Le, Kelvin Tan, Daniel Zhang, David Chai
{"title":"AI-Based Behavioral Competency Assessment Tool to Enhance Navigational Safety","authors":"Liu Lili, Virdi Satinder Singh, Samuel Hon, Diem Le, Kelvin Tan, Daniel Zhang, David Chai","doi":"10.1109/ICECCME52200.2021.9590891","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590891","url":null,"abstract":"The human element has been cited as the main contributory factor for various maritime navigational incidents. Measuring and assessing human performance is key to enhance and maintain maritime navigational safety. In order to address the above problem, there is a need to develop an efficient measurement and assessment tool for navigational competencies for various behaviors such as situational awareness, decision making, teamwork, and communication and influencing skills. Multiple forms of data is collected in a Navigation Bridge Simulator in a Bridge Team Scenario to conduct this research. The topic is especially relevant to improve the safety of maritime navigation in crowded waters such as the Singapore Strait. An effective AI-based competency assessment tool for safe navigation (AICATSAN) is developed to measure and assess navigational competence. Hybrid deep learning methods using eye trackers are employed to develop AICATSAN, which was assessed to produce accurate results with preliminary test data sample. Convolutional neural network (CNN) and long short-term memory (LSTM) networks are used for multi-modal, multi-feature and multisensory for recognition of complex and concurrent activity details. The AICATSAN is able to quickly analyze the human performance of a given navigational scenario. As an indicative assessment system to evaluate behavioral competence through the use of navigation simulator, this AICATSAN system will observe key indicators to analyze human behavioral competencies and facilitate the evaluation of navigational competence. It has the potential to be used for training, recruitment or promotion to the higher ranks.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126606167","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
Audio CAPTCHA for Visually Impaired 视障人士音频验证码
Angelo Mathai, Atharv Nirmal, Purva Chaudhari, Vedant Deshmukh, Shantanu Dhamdhere, Pushkar S. Joglekar
{"title":"Audio CAPTCHA for Visually Impaired","authors":"Angelo Mathai, Atharv Nirmal, Purva Chaudhari, Vedant Deshmukh, Shantanu Dhamdhere, Pushkar S. Joglekar","doi":"10.1109/ICECCME52200.2021.9590892","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590892","url":null,"abstract":"Completely Automated Public Turing Tests (CAPTCHA) have been used to differentiate between computers and humans for quite some time now. There are many different varieties of CAPTCHAs - text-based, image-based, audio, video, arithmetic, etc. However, not all varieties are suitable for the visually impaired. As time goes by and Spambots and APIs grow more accurate, the CAPTCHA tests have been constantly updated to stay relevant, but that has not happened with the audio CAPTCHA. There exists an audio CAPTCHA intended for the blind/visually impaired but many blind/visually impaired find it difficult to solve. We propose an alternative to the existing system, which would make use of unique sound samples layered with music generated through GANs (Generative Adversarial Networks) along with noise and other layers of sounds to make it difficult to dissect. The user has to count the number of times the unique sound was heard in the sample and then input that number. Since there are no letters or numbers involved in the samples, speech-to-text bots/APIs cannot be used directly to decipher this system. Also, any user regardless of their native language can comfortably use this system.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127996359","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
Time Delay Estimation in Underwater Environment using Cross-Correlation Based Techniques 基于互相关技术的水下环境时延估计
Faraz Talebpour, M. Saif, H. Amiri, S. Alirezaee
{"title":"Time Delay Estimation in Underwater Environment using Cross-Correlation Based Techniques","authors":"Faraz Talebpour, M. Saif, H. Amiri, S. Alirezaee","doi":"10.1109/ICECCME52200.2021.9591131","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9591131","url":null,"abstract":"In this paper, we analyzed the time difference of arrival (TDOA) of acoustic sounds in an underwater environment. TDOA estimation accuracy can be greatly influenced by factors such as target frequency, noise, channel models, and sampling frequency of the receiver. The underwater environment is a relatively low SNR environment and to have an accurate estimation of TDOA, noise effects on the estimator should not be neglected. To show the effects of SNR on the accuracy of estimation, we analyzed and simulated multiple TDOA based methods, in different SNR conditions","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129049453","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
Security in IoT-based Smart Homes: A Taxonomy Study of Detection Methods of Mirai Malware and Countermeasures 基于物联网的智能家居安全:Mirai恶意软件检测方法及对策的分类研究
Rufaida Auliar, Girish Bekaroo
{"title":"Security in IoT-based Smart Homes: A Taxonomy Study of Detection Methods of Mirai Malware and Countermeasures","authors":"Rufaida Auliar, Girish Bekaroo","doi":"10.1109/ICECCME52200.2021.9590841","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9590841","url":null,"abstract":"During recent years, there has been widespread adoption of the Internet and swift digitization within various sectors, including smart homes. These also led to the rapid growth of the Internet of Things (IoT), which is expected to proliferate further, where 50 billion IoT devices are estimated to be connected to the Internet by 2030. However, the growth in connected IoT devices to the Internet has not been without challenges. IoT devices are known to have various vulnerabilities that could be exploited by attackers, thus hindering security of devices and users. Recently, the use of Mirai malware by attackers gained significant attention as it has the capability to transform IoT connected devices into remotely controlled bots, which can be utilized as part of a botnet in large-scale network attacks. Taking cognizance of the importance to secure against this type of malware, this study presents a taxonomy review on the techniques that can potentially be used to detect Mirai malware along with countermeasures for securing against such malware.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129148948","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
Effects of Applying Ferrofluid to Permanent Magnet Direct Current Motor 铁磁流体在永磁直流电动机中的应用效果
N. F. Serteller
{"title":"Effects of Applying Ferrofluid to Permanent Magnet Direct Current Motor","authors":"N. F. Serteller","doi":"10.1109/ICECCME52200.2021.9591072","DOIUrl":"https://doi.org/10.1109/ICECCME52200.2021.9591072","url":null,"abstract":"Electric motors, especially direct current electric motors, are the most convenient way of studying the application of magnetic fluid because of motor rapid response to changes in parameters. This study demonstrates the effects of a magnetic liquid (ferrofluid) on a permanent magnet brushed direct current (PMDC) motor. The ferrofluid was applied by smearing it on the shaft of the motor. The maximum amount of ferrofluid was determined to the non-linearity of the characteristics of the motor. The experimental results showed that the ferrofluid affected the motor-operating parameter values, particularly speed and losses, offering an interesting potential to improve efficiency, which consequently results in energy savings. Some equations for the affected parameters have been presented, including the circuit theory. It was seen that by controlling the addition of ferrofluid, the most efficient flux motor parameters could be determined. Some dynamic calculations of PMDC motors are also mentioned, including the principles of magnetic circuits and field theory. Experimental verification by testing a PMDC motor confirmed the positive results.","PeriodicalId":102785,"journal":{"name":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132269676","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
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