2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)最新文献_第5页

Smart Prediction System for Facial Paralysis 面瘫智能预测系统

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102600

Ali Mohammed Ridha, Wessam Shehieb, Peter Yacoub, Khalid Al-Balawneh, K. Arshad

引用次数: 5

A Micro Inverter Design for Micro Grids 微电网的微型逆变器设计

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102519

M. Dursun, Alper Görgün

{"title":"A Micro Inverter Design for Micro Grids","authors":"M. Dursun, Alper Görgün","doi":"10.1109/ICEEE49618.2020.9102519","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102519","url":null,"abstract":"The usage of fossil-based fuels in electrical energy conversion systems causes irreversible damages to the environment. Due to the intensive use of these resources, their reserves are rapidly decreasing. So there are many studies on renewable energy sources and their usage in the literature. Micro grids within the smart grid structure provide the synchronization of the energy obtained from renewable sources with distributed generation within themselves or with the national grid. Photovoltaic panels (PV), which can easily transform energy without damaging the environment, come to the forefront the renewable energy sources. Panel structure, converter and inverter design have a great importance on the total efficiency of solar power generation. Therefore, the design of the converter and inverter and their instantaneous working status should be monitored. In this study, grid connected micro inverter design and analysis have been carried out for micro grids. In the boost converter design, the maximum power point is monitored with the Perturb&Observe (P&O) method and the switching signals of the isolated boost converter are provided to be monitored with the PI controller. Micro inverter is designed with H-bridge model controlled by 4 MOSFETs. The switching signals of the MOSFETs were realized with the phase-locking algorithm following the mains voltage. Synchronized energy to the grid is transferred to the load with the LCL filter used in the micro inverter output.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"16 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125625564","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: 3

Robust Decentralized Nonlinear Formation Control of Multiagent Quadrotor 多智能体四旋翼飞行器鲁棒分散非线性编队控制

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102501

N. Mazhar, F. Malik, Rameez Khan, A. Raza, Saeed Mazhar, M. Irfan

引用次数: 10

Power, Voltage, and Current Characteristics of Photovoltaic Modules in Saudi Arabian Cities 沙特阿拉伯城市光伏组件的功率、电压和电流特性

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102619

F. Sibai

引用次数: 2

Study of a Five-Level PWM Rectifier Fed DC Motor Drive 五电平PWM整流直流电机驱动的研究

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102578

Omar Turath Tawfeeq, A. Y. Ibrahim, Ali Abbawi Mohammed Alabbawi

引用次数: 2

Breast Cancer Prediction Using Neuro-Fuzzy Systems 使用神经模糊系统预测乳腺癌

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102476

K. Uyar, Umit Ilhan, Ahmet Ilhan, E. Iseri

{"title":"Breast Cancer Prediction Using Neuro-Fuzzy Systems","authors":"K. Uyar, Umit Ilhan, Ahmet Ilhan, E. Iseri","doi":"10.1109/ICEEE49618.2020.9102476","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102476","url":null,"abstract":"Cancer is one of the most dangerous diseases in the world. The scientists are in pursue of finding better methods of detecting the various type of cancerous cell formations in the tissues. The purpose of this work is to develop a more accurate prediction model to identify breast cancer. In this work, Genetic algorithm (GA) based trained recurrent fuzzy neural network (RFNN) and adaptive neuro-fuzzy inference system (ANFIS) are used on the dataset provided by the UCI Machine Learning Repository. In this data set there are 9 quantitative attributes and a label that clinical features are observed or measured for 116 participants. The dataset separated into two sub-sets; one for training (81 instances) and one for testing (35 instances). For 8 different combinations of variables 8 different GA based trained RFNN and 8 different ANFIS were designed. The sensitivity, specificity, precision, F-score, probability of the misclassification error (PME) and accuracy of the training set, testing set and overall performances of the models were analyzed. The RFNN with 9 variables gave the highest overall accuracy (88.79%). The overall results showed that the GA based trained RFNN outperformed both ANFIS and other previous works that used the same dataset.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128709165","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: 3

Laguerre Polynomials and Gradient Descent Approach for Linear Quadratic Optimal Control 线性二次最优控制的拉盖尔多项式和梯度下降法

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102610

Halah Jaber, M. Frye

引用次数: 1

Low - Cost Perimeter Intrusion Radar System Development 低成本周界入侵雷达系统的开发

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102575

A. İnanç, A. Sahin

引用次数: 2

Muscle Synergies are Robust across Participants in Upper Limb Rotational Motion 在上肢旋转运动中，肌肉协同作用强健

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102587

A. T. Abd, Rajat Emanuel Singh, K. Iqbal, G. White

{"title":"Muscle Synergies are Robust across Participants in Upper Limb Rotational Motion","authors":"A. T. Abd, Rajat Emanuel Singh, K. Iqbal, G. White","doi":"10.1109/ICEEE49618.2020.9102587","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102587","url":null,"abstract":"Muscle synergies are defined as the specific co-activation of muscle groups to accomplish function level targets. The hypothesis of muscle synergies helps simplify the motor coordination problem by decreasing the numbers of central nervous system signals. The purpose of this research was to discuss how muscle coordination works across different individuals during the performance of a cyclic movement at specific force levels. We acquired Electromyography (EMG) signals from seven right upper-limb muscles of four participants as they operated the hand-cycle ergometer. Non-negative matrix factorization (NNMF) was used to extract muscle synergies from the EMG signals and compared across the participants at a specific power level. We found that five synergies were shared across participants. Also, the recruitment profile for those synergies appeared to be similar with only slight deviations. Therefore, we conclude that during a constrained rotational motion at constant speed (50 r.p.m) and constant power level (20 watts), the muscle synergies were preserved across participants. The results of this study would be useful in designing assistive devices for rehabilitation purposes.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"61 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000267","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: 3

Parameter Identification and Auto-Tuning of IPMSM for Self-Commissioning IPMSM自调试参数辨识与自整定

2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2020-04-01 DOI: 10.1109/ICEEE49618.2020.9102576

Y. Çetin, I. E. Akyol, K. Ç. Büyüköztürk, T. Kumbasar

{"title":"Parameter Identification and Auto-Tuning of IPMSM for Self-Commissioning","authors":"Y. Çetin, I. E. Akyol, K. Ç. Büyüköztürk, T. Kumbasar","doi":"10.1109/ICEEE49618.2020.9102576","DOIUrl":"https://doi.org/10.1109/ICEEE49618.2020.9102576","url":null,"abstract":"This paper presents a practical self-commissioning technique for interior permanent magnet synchronous motor drives. Knowledge of the system parameters is essential to achieve well-tuned and stable controllers for high performance and efficient control of motor drives. In order to reduce the time and effort spent on commissioning, the parameter identification and control loops tuning processes are automated in such a way that no additional tool is required. In this context, identification of the current loops' parameters during standstill using recursive least squares technique initially. Then, the gains of the current controllers are determined by using simple pole-zero cancellation method which allows user to define the bandwidth of the closed loop system. Thus, motor drives can be started to drive in closed loop current mode and magnet flux linkage can be identified in this stage. After that, by using estimated electrical parameters, the mechanical parameters are estimated to tune the speed loop gains such that to obtain a desired closed loop bandwidth. The presented structures are implemented on TI C2000 MCU controlled drive and tested on a motor within additional inertia loads in real time.","PeriodicalId":131382,"journal":{"name":"2020 7th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996109","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: 3