2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)最新文献

Domestic Electrical Energy Monitoring and Alerting Using SCADA and IoT 基于SCADA和物联网的家用电能监测与报警

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642519

Ching Yee Yong, K. Hamid, Jung Heng Chieng

{"title":"Domestic Electrical Energy Monitoring and Alerting Using SCADA and IoT","authors":"Ching Yee Yong, K. Hamid, Jung Heng Chieng","doi":"10.1109/ICIAS49414.2021.9642519","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642519","url":null,"abstract":"SCADA stands for Supervisory Control and Data Acquisition. It helps industrials to control process remotely, monitor the real time data, interact directly with transmitter, control valves, motor through human interface technology and lastly to record data. Most of the SCADA system was installed for industrial automation. In housing distribution switchboard (DB), it is not common to install SCADA system. A DB with SCADA system that is capable to collect and transmit data to the control unit such as personal computer (PC) or smartphone and further remote control was proposed. Since it is dangerous when there is sudden cut-off of power supply of the main switch. Some user may face difficulty to re-activate the circuit breaker or main switch. The main objective is to integrate the serial communication between the IoT and the control unit. The fault alarm message will be sent to user when there is fault. The first domestic system for electrical energy monitoring by remote controlling using SCADA and human machine interface was developed. The main component of the proposed system is Arduino Uno, 8 channels relay module, miniature circuit breaker (MCB), auto manual AC contactor, and switch mode power supply (SMPS). Main supply is from the AC voltage 240V to the switchboard. The main switch is connected to the auto manual AC contactor for the auto and manual control of the electrical flow. A smart domestic switchboard was designed with the function of sending out the fault alarm message when overload (over current) happened. The proposed system is reliable, safer, environmentally sound and achieved 80% of accuracy for notification sent out and 100% of tripped if overload was detected.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115435721","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

Fractional Stochastic Gradient Descent Based Learning Algorithm For Multi-layer Perceptron Neural Networks 基于分数阶随机梯度下降的多层感知器神经网络学习算法

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642687

A. Sadiq, N. Yahya

{"title":"Fractional Stochastic Gradient Descent Based Learning Algorithm For Multi-layer Perceptron Neural Networks","authors":"A. Sadiq, N. Yahya","doi":"10.1109/ICIAS49414.2021.9642687","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642687","url":null,"abstract":"Neural Networks are indispensable tools in adaptive signal processing. Multi-layer perceptron (MLP) neural network is one of the most widely used neural network architecture. The performance is highly subjective to the optimization of learning parameters. In this study, we propose a learning algorithm for the training of MLP models. Conventionally back-propagation learning algorithm also termed as (BP-MLP) is used. It is a type of stochastic gradient descent algorithm where performance is governed by eigen spread of the input signal correlation matrix. In order to accelerate the performance, we design a combination of integral and fractional gradient terms. The proposed fractional back-propagation multi-layer perceptron (FBP-MLP) method is based on fractional calculus and it utilizes the concept of fractional power gradient which provides complementary information about the cost function that helps in rapid convergence. For the validation of our claim, we implemented leukemia cancer classification task and compared our method with standard BPMLP method. The proposed FBP-MLP method outperformed the conventional BP-MLP algorithm both in terms of convergence rate and test accuracy.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115344597","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

2-D Modes Analysis of Micro-Ring Resonator: In case of chemical vapor sensing 微环谐振器的二维模态分析:用于化学蒸汽传感

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642688

H. Ramza, Emas Fiqry Nurdwiprasetio, Aditya Ervansyah, Sugianto, Saeed Salem Bahashwan, M. Khir

引用次数: 0

Identification of Epileptic Seizures using Autoencoders and Convolutional Neural Network 使用自编码器和卷积神经网络识别癫痫发作

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642570

P. Divya, B. Aruna Devi, Srinivasan Prabakar, K. Porkumaran, R. Kannan, N. M. Nor, I. Elamvazuthi

引用次数: 1

High-Efficiency Inductive Charging For High Frequency Wireless Power Transfer 高频无线电力传输的高效感应充电技术

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642545

F. E. Chinda, C. Sovuthy, M. Begam

引用次数: 0

Design & Simulation of Waveguide Filter for 5G Application 5G波导滤波器的设计与仿真

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642678

J. Tan, S. Cheab, G. S. Ng, S. Soeung

引用次数: 0

Power Quality Improvement Using UPQC for Grid Interconnected Renewable Energy Sources 利用UPQC改善并网可再生能源电能质量

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642647

R. Kannan, Bharanidharan Krishnan, Karantaraj Porkumaran, Srinivasan Prabakar, I. Elamvazuthi, Krishnamurthy Srinivasan

引用次数: 0

Responsivity of Fluxgate Sensing Element Under Different Excitation Conditions 磁通门传感元件在不同激励条件下的响应性

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642605

M. Elkattan, H. Mostafa, A. Khalil

{"title":"Responsivity of Fluxgate Sensing Element Under Different Excitation Conditions","authors":"M. Elkattan, H. Mostafa, A. Khalil","doi":"10.1109/ICIAS49414.2021.9642605","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642605","url":null,"abstract":"Fluxgate magnetic sensors measure weak magnetic fields in the range of 0.01nT to 1mT. They are one of the most used sensors in a wide range of applications because of their advantages over other types of sensors in a certain area of measured intensities and frequencies. The principle of operation of Fluxgate magnetometers is based on manipulating a nonlinear magnetic material as the sensing element to measure the strength of a surrounding dc or low-frequency ac magnetic field. During fluxgate design, the magnetic core is the most important element that determines the performance of the sensor. In this paper, evaluation of the response of the fluxgate core is done through numerical simulations under variable operating conditions. The fluxgate core is modeled using finite element method to involve the nonlinear hysteretic characteristics of the core into the conducted simulations. Thus, the proposed model helps to produce more reliable results about the behavior of the fluxgate sensing element. Furthermore, several simulations were conducted in this paper to provide a performance map for the fluxgate core that will help designers to choose the best operation conditions for the desired design.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134570152","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

DR-Net with Convolution Neural Network 基于卷积神经网络的DR-Net

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642615

A. B. Aujih, M. I. Shapiai, F. Mériaudeau, T. Tang

引用次数: 0

Balancing a Rotary Double Inverted Pendulum using Two-loops Adaptive Controller based on Dynamic Inversion Technique 基于动态反演技术的双环自适应控制器平衡旋转式双倒立摆

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS) Pub Date : 2021-07-13 DOI: 10.1109/ICIAS49414.2021.9642673

Mohd Heidir Mohd Shah, I. Mehedi, U. Al-Saggaf, A. H. Milyani, N. Saad, N. Yahaya

{"title":"Balancing a Rotary Double Inverted Pendulum using Two-loops Adaptive Controller based on Dynamic Inversion Technique","authors":"Mohd Heidir Mohd Shah, I. Mehedi, U. Al-Saggaf, A. H. Milyani, N. Saad, N. Yahaya","doi":"10.1109/ICIAS49414.2021.9642673","DOIUrl":"https://doi.org/10.1109/ICIAS49414.2021.9642673","url":null,"abstract":"Balancing control of a double inverted pendulum is a great challenge as it is an unstable and non-linear system that requires fast control reaction. In this paper, a dynamic inversion controller is proposed for balancing control of a rotary double inverted pendulum system. The controller consists of two loops where the outer loop is responsible for generating desired position command while the inner loop takes the command to produce the actual control action. The robustness of the controller is added by the introduction of the sliding surface vector function. The effectiveness of the proposed controller is investigated through numerical simulations with two other types of controllers that are also tested for comparison purposes. The results prove that the proposed controller capable of balancing the rotary double inverted pendulum under the influence of disturbances, while comparisons with Sliding Mode Controller (SMC) and Linear Quadratic Regulator (LQR) in various scenarios suggested that the proposed controller was the most consistent controller as opposed to the other two.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005083","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