Pub Date : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227169
P. Tran, V. Huynh, Dong Si Thien Chau, B. H. Dinh
The chattering phenomena of high-frequency switching make it challenging to perform sliding-mode control (SMC) for load frequency control of power networks. Actuators utilized in power systems are highly vulnerable to this chattering issue in SMC. In this study, a load frequency controller based on decentralized SMC is developed for multi-area multi-source interconnected power systems (MMIPS) with matching uncertainties. To enhance the dynamic performance of the system in achieving intervals, the proportional and integral switching surface is built for each region. In addition to guaranteeing the resilience of the multi-area multi-source power network, the suggested second order sliding mode control (SOSMC) legislation avoids chattering phenomena in control input. The reaching law approach suggests the robust controller to ensure that, following a load and operation point modification, frequency fluctuation converges to zero. Additionally, the simulation report shows that the suggested controller maintains the quality requirement by dealing with operating conditions in a wider range, rejecting disturbance, lowering the transient response of frequency, and removing the overshoot issue. To demonstrate the effectiveness of the suggested decentralized SMC approach, a two-area multi-area multi-source linked power system is explored. The result of the MATLAB/SIMULINK simulation is presented, and its findings are contrasted with recently developed traditional control systems.
{"title":"Sliding Mode-Based Load Frequency Control of a Power System with Multi-Source Power Generation","authors":"P. Tran, V. Huynh, Dong Si Thien Chau, B. H. Dinh","doi":"10.1109/ICSSE58758.2023.10227169","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227169","url":null,"abstract":"The chattering phenomena of high-frequency switching make it challenging to perform sliding-mode control (SMC) for load frequency control of power networks. Actuators utilized in power systems are highly vulnerable to this chattering issue in SMC. In this study, a load frequency controller based on decentralized SMC is developed for multi-area multi-source interconnected power systems (MMIPS) with matching uncertainties. To enhance the dynamic performance of the system in achieving intervals, the proportional and integral switching surface is built for each region. In addition to guaranteeing the resilience of the multi-area multi-source power network, the suggested second order sliding mode control (SOSMC) legislation avoids chattering phenomena in control input. The reaching law approach suggests the robust controller to ensure that, following a load and operation point modification, frequency fluctuation converges to zero. Additionally, the simulation report shows that the suggested controller maintains the quality requirement by dealing with operating conditions in a wider range, rejecting disturbance, lowering the transient response of frequency, and removing the overshoot issue. To demonstrate the effectiveness of the suggested decentralized SMC approach, a two-area multi-area multi-source linked power system is explored. The result of the MATLAB/SIMULINK simulation is presented, and its findings are contrasted with recently developed traditional control systems.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117304008","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227161
M. H. Suid, Mohd Ashraf Ahmad, Salmiah Ahmad, M. R. Ghazali, M. Tumari
Convoluted high-order structures as modeled through mathematical principle including telecommunication systems, power plants for urbanized energy supply and aerospace systems are often accompanied by the apparent setbacks in analyzing, experimentation and operational control. The complexity of such structures is proposedly decreased within the current study through introduction of a hybridized meta-heuristics fine-tuning approach between Adaptive Safe Experimentation Dynamics (ASED) and Nonlinear Sine Cosine Algorithm (NSCA). Entrapment within the local optima is hereby overcome through ASED by adaptive random perturbation, with improved exploration and exploitation of the introduced approach being further enabled by NSCA. The method’s potency was evaluated through an empirically adopted 6th order numerical function. Experimentation outcomes uncovered profound robustness and consistency from ASED-NSCA against alternative modern optimization-based techniques towards comparatively outstanding model order reduction (MOR).
{"title":"Optimal Model Order Reduction Based on Hybridization of Adaptive Safe Experimentation Dynamics-Nonlinear Sine Cosine Algorithm","authors":"M. H. Suid, Mohd Ashraf Ahmad, Salmiah Ahmad, M. R. Ghazali, M. Tumari","doi":"10.1109/ICSSE58758.2023.10227161","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227161","url":null,"abstract":"Convoluted high-order structures as modeled through mathematical principle including telecommunication systems, power plants for urbanized energy supply and aerospace systems are often accompanied by the apparent setbacks in analyzing, experimentation and operational control. The complexity of such structures is proposedly decreased within the current study through introduction of a hybridized meta-heuristics fine-tuning approach between Adaptive Safe Experimentation Dynamics (ASED) and Nonlinear Sine Cosine Algorithm (NSCA). Entrapment within the local optima is hereby overcome through ASED by adaptive random perturbation, with improved exploration and exploitation of the introduced approach being further enabled by NSCA. The method’s potency was evaluated through an empirically adopted 6th order numerical function. Experimentation outcomes uncovered profound robustness and consistency from ASED-NSCA against alternative modern optimization-based techniques towards comparatively outstanding model order reduction (MOR).","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122953804","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227174
M. M. Saari, M. Sulaiman, N. A. C. Lah, M. R. Daud, T. Kiwa
Core size estimation of magnetic nanoparticles (MNPs) using magnetization curves has been reliably utilized to obtain a fast and simple size estimation technique compared to transmission electron microscopy. This estimation technique involves solving the inverse problem of the magnetization curve. However, conventional methods, such as the singular value decomposition (SVD) or non-negative least squares (NNLS) algorithms, require a regularization threshold to mitigate the overfitting issues of an ill-conditioned problem. This prior information on the regularization requirement may lead to inaccurate magnetic moment reconstruction if the regularization degree is high due to broad distributions of the reconstructed magnetic moment. This research proposes a non-regularized reconstruction technique of magnetic moment distribution using the recent machine learning technique of the Barnacles Mating Optimizer (BMO) algorithm. A simulated magnetization curve of unimodal moment distributions from 1 mT to 1 T is used to minimize a model-free magnetic moment distribution. A reconstruction comparison among the BMO, Particle Swarm (PSO), Genetic Algorithm (GA), Sine Cosine Algorithm (SCA) optimizers, and NNLS method is presented. The magnetic moment reconstruction using the BMO algorithm shows significantly less noise and smooth distribution compared to the PSO and GA algorithms with fewer computation times. Furthermore, the constructed peaks’ position matches the original distribution and shows comparable performance with the conventional NNLS algorithm.
{"title":"Non-Regularized Reconstruction of Magnetic Moment Distribution of Magnetic Nanoparticles using Barnacles Mating Optimizer","authors":"M. M. Saari, M. Sulaiman, N. A. C. Lah, M. R. Daud, T. Kiwa","doi":"10.1109/ICSSE58758.2023.10227174","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227174","url":null,"abstract":"Core size estimation of magnetic nanoparticles (MNPs) using magnetization curves has been reliably utilized to obtain a fast and simple size estimation technique compared to transmission electron microscopy. This estimation technique involves solving the inverse problem of the magnetization curve. However, conventional methods, such as the singular value decomposition (SVD) or non-negative least squares (NNLS) algorithms, require a regularization threshold to mitigate the overfitting issues of an ill-conditioned problem. This prior information on the regularization requirement may lead to inaccurate magnetic moment reconstruction if the regularization degree is high due to broad distributions of the reconstructed magnetic moment. This research proposes a non-regularized reconstruction technique of magnetic moment distribution using the recent machine learning technique of the Barnacles Mating Optimizer (BMO) algorithm. A simulated magnetization curve of unimodal moment distributions from 1 mT to 1 T is used to minimize a model-free magnetic moment distribution. A reconstruction comparison among the BMO, Particle Swarm (PSO), Genetic Algorithm (GA), Sine Cosine Algorithm (SCA) optimizers, and NNLS method is presented. The magnetic moment reconstruction using the BMO algorithm shows significantly less noise and smooth distribution compared to the PSO and GA algorithms with fewer computation times. Furthermore, the constructed peaks’ position matches the original distribution and shows comparable performance with the conventional NNLS algorithm.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126539487","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227165
Quang-Tho Tran
Grid-connected three-phase inverters using solar energy are commonly used in power systems due to sustainability and environmental friendliness. These inverters usually use the maximum power point tracker (MPPT) to extract the power from the solar modules and generate this power to the grid. If happening a voltage imbalance or voltage sag, these inverters need to support the power grid through generation of reactive power and operate the inverters in non-MPPT mode. This paper proposes a method to protect the inverter over-current and DC voltage in conditions of grid voltage imbalance. In the non-MPPT mode, the DC power controller is removed completely. This method does not require any additional hardware. The simulation results have confirmed the performance of the proposed technique.
{"title":"Control of Grid-connected Inverters Under Unbalanced Voltage Sag","authors":"Quang-Tho Tran","doi":"10.1109/ICSSE58758.2023.10227165","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227165","url":null,"abstract":"Grid-connected three-phase inverters using solar energy are commonly used in power systems due to sustainability and environmental friendliness. These inverters usually use the maximum power point tracker (MPPT) to extract the power from the solar modules and generate this power to the grid. If happening a voltage imbalance or voltage sag, these inverters need to support the power grid through generation of reactive power and operate the inverters in non-MPPT mode. This paper proposes a method to protect the inverter over-current and DC voltage in conditions of grid voltage imbalance. In the non-MPPT mode, the DC power controller is removed completely. This method does not require any additional hardware. The simulation results have confirmed the performance of the proposed technique.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124608221","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227080
Vo Minh Huan
As technology advances, manufacturers demand memory with low energy, high performance, and fast response SRAM (Static Random Access Memory). SRAM is a type of variable semiconductor memory that stores the binary logic digits '1' and '0'. The energy consumption of the circuit decreases as the voltage operation of the SRAM decreases, but the circuit's stability and performance suffer as the supply voltage decreases. Lower VDD increases SRAM cell latency while decreasing SRAM speed. Therefore, the study focuses on designing and implementing 6T and 8T SRAM circuits by comparing and evaluating hysteresis, energy, and margin parameters. The 6T SRAM is gated in both footer and header to save more energy. However, this low energy 6T SRAM has a small read margin. Leveraging high read margin characteristics of 8T SRAM, this paper does power gating on this type of 8T SRAM cell. By doing so, the proposed power gated 8T SRAM cell also saves energy but only keeps a high read margin. This simulation shows the leakage energy saving of the proposed 8T SRAM is up to 48% compared to that of 6T SRAM. The simulation result is performed in 130nm technology.
{"title":"Dual Power Gating 8-Transistor SRAM Design For Low Power Applications","authors":"Vo Minh Huan","doi":"10.1109/ICSSE58758.2023.10227080","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227080","url":null,"abstract":"As technology advances, manufacturers demand memory with low energy, high performance, and fast response SRAM (Static Random Access Memory). SRAM is a type of variable semiconductor memory that stores the binary logic digits '1' and '0'. The energy consumption of the circuit decreases as the voltage operation of the SRAM decreases, but the circuit's stability and performance suffer as the supply voltage decreases. Lower VDD increases SRAM cell latency while decreasing SRAM speed. Therefore, the study focuses on designing and implementing 6T and 8T SRAM circuits by comparing and evaluating hysteresis, energy, and margin parameters. The 6T SRAM is gated in both footer and header to save more energy. However, this low energy 6T SRAM has a small read margin. Leveraging high read margin characteristics of 8T SRAM, this paper does power gating on this type of 8T SRAM cell. By doing so, the proposed power gated 8T SRAM cell also saves energy but only keeps a high read margin. This simulation shows the leakage energy saving of the proposed 8T SRAM is up to 48% compared to that of 6T SRAM. The simulation result is performed in 130nm technology.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129156942","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227079
X. Do, Thi-Thu-Thao Phan, K. V. Nguyen
This study presents a new development of optimal control based on the prescribed performance model. The prescribed performance is analyzed following the boundaries of the system. The classical optimal control model is modified based on the Riccati-like equation for the upper and lower boundary functions of the prescribed model. To robust the proposed model, the new modifications of the Kalman function are suggested and then embedded in the optimal model. After formulating, the proposed control is applied in the smart suspension system under severe disturbance. The simulation results show that the proposed controller obtains the outstanding properties in control and guarantees the stability of the system
{"title":"A New Novel of Prescribed Optimal Control and Its Application for Smart Damping System","authors":"X. Do, Thi-Thu-Thao Phan, K. V. Nguyen","doi":"10.1109/ICSSE58758.2023.10227079","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227079","url":null,"abstract":"This study presents a new development of optimal control based on the prescribed performance model. The prescribed performance is analyzed following the boundaries of the system. The classical optimal control model is modified based on the Riccati-like equation for the upper and lower boundary functions of the prescribed model. To robust the proposed model, the new modifications of the Kalman function are suggested and then embedded in the optimal model. After formulating, the proposed control is applied in the smart suspension system under severe disturbance. The simulation results show that the proposed controller obtains the outstanding properties in control and guarantees the stability of the system","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114932693","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}
This paper mainly develops a hand back acupoint massage guiding device, which applies OpenPose detection and image process on locating the acupoints of the hand back. To develop an assistive acupoint locating device, we use a camera to catch the photo of the hand back and then find the characteristic points of the hand back by using OpenPose recognition in the OpenCV developing environment. The positions of acupoints are calculated from combining the found hand back characteristic points and the rules of traditional Chinese medicine. Moreover, the error of the acupoint location is researched with high accuracy. In addition, according to the traditional Chinese medicine, the acupoints of the hand back are associated at the corresponding diseases. The hand massage aid APP is developed based on the hand acupoint locating system from user’s corresponding the diseases. This aid APP can give the message guidance for releasing the effect of diseases, which points out the required massage position and massage skill. Finally, the results are proved by the experiments.
{"title":"Design of A Hand Back Acupoint Massage Aid","authors":"Ya-Ting Lee, Chao-Hung Sun, Chian-Song Chiu, Yu-Ting Chen","doi":"10.1109/ICSSE58758.2023.10227180","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227180","url":null,"abstract":"This paper mainly develops a hand back acupoint massage guiding device, which applies OpenPose detection and image process on locating the acupoints of the hand back. To develop an assistive acupoint locating device, we use a camera to catch the photo of the hand back and then find the characteristic points of the hand back by using OpenPose recognition in the OpenCV developing environment. The positions of acupoints are calculated from combining the found hand back characteristic points and the rules of traditional Chinese medicine. Moreover, the error of the acupoint location is researched with high accuracy. In addition, according to the traditional Chinese medicine, the acupoints of the hand back are associated at the corresponding diseases. The hand massage aid APP is developed based on the hand acupoint locating system from user’s corresponding the diseases. This aid APP can give the message guidance for releasing the effect of diseases, which points out the required massage position and massage skill. Finally, the results are proved by the experiments.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133593262","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227236
Xuan Tra Nguyen, Duc Manh Nguyen, Thanh Nha Nguyen, D. Tran
This paper proposes the synchronization sliding mode control (SSMC) using a Time-Delay Estimation (TDE) for the 4-DOF parallel manipulator against uncertainties. The 4-DOF parallel robot is a closed-chain kinematics structure that leads to the constraint of the geometry. Therefore, the SSMC for the parallel robot is proposed, which guarantees convergence of the joint position. Additionally, TDE is combined with SSMC to estimate uncertainties in dynamic robots such as unknown dynamic, external force and friction force. Despite the 4-DOF parallel manipulator being a free model, the proposed control provides high accuracy and robustness against uncertainties. Finally, some simulations are conducted on Matlab/Simulink, and the performance of the proposed control is demonstrated through a comparison of simulated results with those obtained from other controllers.
{"title":"Synchronization Sliding Mode Control Scheme with Time Delay Estimation for the 4-DOF Parallel Manipulator","authors":"Xuan Tra Nguyen, Duc Manh Nguyen, Thanh Nha Nguyen, D. Tran","doi":"10.1109/ICSSE58758.2023.10227236","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227236","url":null,"abstract":"This paper proposes the synchronization sliding mode control (SSMC) using a Time-Delay Estimation (TDE) for the 4-DOF parallel manipulator against uncertainties. The 4-DOF parallel robot is a closed-chain kinematics structure that leads to the constraint of the geometry. Therefore, the SSMC for the parallel robot is proposed, which guarantees convergence of the joint position. Additionally, TDE is combined with SSMC to estimate uncertainties in dynamic robots such as unknown dynamic, external force and friction force. Despite the 4-DOF parallel manipulator being a free model, the proposed control provides high accuracy and robustness against uncertainties. Finally, some simulations are conducted on Matlab/Simulink, and the performance of the proposed control is demonstrated through a comparison of simulated results with those obtained from other controllers.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130830801","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227205
Vo Truong Trung Hieu, Truong Thi Hoang Hao, Le Xuan Hoang, Doan Minh Trung, Phan The Duy, V. Pham
The increasing proliferation of phishing and scamming websites has become a significant threat to the safety and security of internet users. Accurately detecting such websites is crucial in mitigating their negative impact. While various techniques for detecting phishing and scamming websites exist, machine learning-based approaches have gained significant attention in recent years due to their promising results. However, ensuring the authenticity of the large datasets used to train the models is challenging. This paper proposes a blockchain and ML-based solution with a consensus algorithm named The Proof of Anti-Scam (PoSS) that encourages and verifies data contributions from community members through a transparent incentivizing mechanism. Our experiments indicate that VGG16 is highly compatible with ML algorithms for accurately classifying phishing websites, and the PoAS consensus mechanism can work well in a large-scale network. This paper also highlights the potential benefits of using blockchain technology to incentivize data contributions to detect phishing and scamming websites more effectively.
{"title":"A Consensus Protocol for Incentivizing Contribution from Decentralized Community for Machine Learning-based Scamming Website Detection","authors":"Vo Truong Trung Hieu, Truong Thi Hoang Hao, Le Xuan Hoang, Doan Minh Trung, Phan The Duy, V. Pham","doi":"10.1109/ICSSE58758.2023.10227205","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227205","url":null,"abstract":"The increasing proliferation of phishing and scamming websites has become a significant threat to the safety and security of internet users. Accurately detecting such websites is crucial in mitigating their negative impact. While various techniques for detecting phishing and scamming websites exist, machine learning-based approaches have gained significant attention in recent years due to their promising results. However, ensuring the authenticity of the large datasets used to train the models is challenging. This paper proposes a blockchain and ML-based solution with a consensus algorithm named The Proof of Anti-Scam (PoSS) that encourages and verifies data contributions from community members through a transparent incentivizing mechanism. Our experiments indicate that VGG16 is highly compatible with ML algorithms for accurately classifying phishing websites, and the PoAS consensus mechanism can work well in a large-scale network. This paper also highlights the potential benefits of using blockchain technology to incentivize data contributions to detect phishing and scamming websites more effectively.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132489442","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 : 2023-07-27DOI: 10.1109/ICSSE58758.2023.10227081
X. Nguyen, Quang-Gia-Bao Nguyen, T. Nguyen, Minh-Thy Pham, Phat-Huy Luu, Minh-Khanh Nguyen, The-Hien Lai, Minh-Hieu Le, Minh-Duc Tran, Minh-Tai Vo
Swing-up techniques for underactuated mechanical systems (for short, UMSs) are fundamental but interesting problems in the field of control engineering. This paper uses sliding mode control (for short, SMC) combined energy-based method (for short, EBM) to accomplish the objective of swing-up of the underactuated rotary inverted pendulum (for short, RIP)-a popular robot in classical control. Accordingly, we focus on designing SMC combined EBM (for short, SMCCEBM) for swinging up the pendulum from hanging-down position to upright position. Besides, after singing-up successfully, we also stabilize control of the system at the unstable equilibrium point by using linear quadratic regulator (for short, LQR). The plant and control schemes are modeled and studied in Matlab/Simulink. Simulation results illustrate the feasibility of the proposed SMCCEBM.
{"title":"An Application of Sliding Mode Control Scheme combined Energy-Based Method for Swinging Up Rotary Inverted Pendulum System","authors":"X. Nguyen, Quang-Gia-Bao Nguyen, T. Nguyen, Minh-Thy Pham, Phat-Huy Luu, Minh-Khanh Nguyen, The-Hien Lai, Minh-Hieu Le, Minh-Duc Tran, Minh-Tai Vo","doi":"10.1109/ICSSE58758.2023.10227081","DOIUrl":"https://doi.org/10.1109/ICSSE58758.2023.10227081","url":null,"abstract":"Swing-up techniques for underactuated mechanical systems (for short, UMSs) are fundamental but interesting problems in the field of control engineering. This paper uses sliding mode control (for short, SMC) combined energy-based method (for short, EBM) to accomplish the objective of swing-up of the underactuated rotary inverted pendulum (for short, RIP)-a popular robot in classical control. Accordingly, we focus on designing SMC combined EBM (for short, SMCCEBM) for swinging up the pendulum from hanging-down position to upright position. Besides, after singing-up successfully, we also stabilize control of the system at the unstable equilibrium point by using linear quadratic regulator (for short, LQR). The plant and control schemes are modeled and studied in Matlab/Simulink. Simulation results illustrate the feasibility of the proposed SMCCEBM.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133832363","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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