Conventionally, state estimation is run on reduced bus-branch (BB) network models. On the other hand, when detailed node-breaker (NB) models are used, no network reduction is necessary. This allows joint estimation of system states and network topology. For testing SE applications using NB models, an expanded version of the IEEE 300-bus system is created. The following changes are made to the original BB model to generate the NB model:


It contains all the optimal operating condition data from case 1 to case 8 used to verify the optimal linear model. The file name is “DataSource.xlsx”.


It contains all the optimal operating condition data from case 1 to case 8 used to verify the optimal linear model. The file name is “DataSource.xls”.


The datasets consist of operational data and detailed information of three inverter transformers in a 3.275 MW PV plant in the outskirt of Brisbane, Australia. The data includes load current, top-oil temperature, moisture in top oil, ambient temperature, solar irradiance and individual current harmonics (up to 31st order). The time interval of the data is either 1 minute or 3 seconds (dependent on the data type). The data can be used to study the ageing of inverter transformers in this PV plant. 


This animation is a supplement to the article 'A new approach to the PWM modulation for the double, square–type, conventional matrix converters supplying loads with open-end winding.' This is an animation of the four basic modulation schemes of PWM modulation for the Conventional Matrix Converter using the rotated vector concept based on the Hilbert transform, which can be performed by DSOGI filter.


Copy three files: arrow3.m, IeeeDataPort_1_AuthorInfo.m, and IeeeDataPort_2_CMC5x5x2_animation_R2020b.m into Your workspace. Next run the IeeeDataPort_2_CMC5x5x2_animation_R2020b.m. It is recommended to read the original paper when available.


Files and complement the publication under the title "A Direct Modulation for Matrix Converters based on the One–cycle Atomic operation developed in Verilog HDL", which is under review process.


Unzip files. There are two sets: for Matlab and Modelsim. Both are presenting the idea of a modulator based on the analytic signal concept. The file "DAV_PWM.m" is an animation of the conventional matrix converter, while the content of the second zip allows for HDL simulation of the matrix converter in Modelsim from Intel FPGA company.


This dataset is in support of my 4 Research Papers.   Even though ,my work is under construction,  I have uploaded some recordings with 5g network proof.

Paper will   contain   -

  • WHO, NIH , , no scientific evidence etc -
  • ICNIRP,International Commission on Non-Ionizing Radiation Protection,  - Misconceptions Clarification
  •   Fear, myths no facts , fact check etc

Read Me

  1. This is an open access ,so everything  can be downloaded after login (free signup). You have to click on 'Title'.
  2. I am just doing this work as I have noticed many things have been shown as false and some people falsely accused as spreading dis-information (by some people or media etc.).
  3.  Those who wish can use this as legitimate scientific proof,  in court. Any doctor or physics professor or school student (depending on hypocrisy ,as elementary or this is taught in PG/phd) may tell what this reading is? Even Published by WHO, as guidelines.
  4.  Others can use this for research or making policies .
  5.  I wont be able to get live data from hospitals or  other places, due to restrictions, (I m not govt agency). Moreover, they try to confiscate IDs (happened with me).  So Rest all will be simulation and results, which are also considered as scientific evidence.
  6.  As I am still in this field (only because of pending research papers but looking non r&d job), so will make model & submit but models made by me, wont be uploaded except results obtained from them.
  7.  Details of model block diagram and parameters  will be in the Research Paper.
  8. has screenshots from wifi detection

(1)  has recordings of Magnetic fields measured using  Magnetic Sensor,  mobile app(software) and mobile phone

2)    Physical Magnetic Sensor(hardware)

                 Resolution of the sensor is 0.0976 uT

                    Maximum Range of the sensor : 3000.0044 uT


3)  Physical orientation and angular velocity  Sensor  (hardware)

            Resolution of the sensor is 0.0012216975 rad/s

             Maximum Range of the sensor : 34.90549 rad/s


4) Physical Proximity Sensor (hardware)

Resolution of the sensor : 1.0 cm 

Maximum Range of the sensor : 5.0 cm


5)  Physical Gravity Sensor (hardware)

Resolution of the sensor :  0.01 m/s2

Maximum Range of the sensor :156.98999 m/s2



Lowest Recorded Reading : 11 uT

Highest Recorded Reading : 479 uT


Around 300 uT can be measured anywhere, if nearby has 5G equipment ( fluctuates to 50 uT then 111, then 200 , 286,  ...)    .   

Reading of 479 was measured, as few people were feeling unwell and when I checked, it was 420 uT, stationary and fluctuating to it around but that is not recorded.   So after some time, this was recorded.

All these will be reorganised with scientific analysis & other data.I m not for genecode research or other medical research. Other Papers and  datasets are  under construction .  It will take time, as involved in other works.


Funding: There are no funders for this submission. The  author has himself fully self-financed.

Acknowlegement :  The author as such thankful to none.


The model used is given in

But for this study, extra circuits has been added, details are given in the Paper

 (2)  There are  main  folders

  • Simulation_   Hz
  • Simulation_   Hz
  • Simulation_ 
  • Simulation_  
  • Simulation_ 
  • Simulation_4G
  • Simulation_5G
  • Experimental


 The folder 'Simulation_4G' has folder

  • Heart
  • Ear
  • Tissue
  • Lungs

(4) The folder 'Simulation_5G' has 3  sub-folders

  • Low
  • Mid
  • High

(5) Each of the subfolder of 5G has folders


The folder 'Experimental' has recordings of Magnetic fields measured using


Acoustic measurement data from Multilayer Ceramic Capacitors (MLCCs). Contains preprocessed data from intact and damaged MLCCs for damage detection (classification) purposes.


Contains acoustic measurement data from 180 multilayer ceramic capacitors (2220 case size, 22 uF, 24V), soldered onto two test circuit boards. The measurements were performed by placing a piezoelectric point contact sensor on top of each capacitor, and subjecting the MLCC to a voltage frequency sweep from 100 Hz to 2 MHz over a duration of 100 ms. The resulting acoustic waveforms have been denoised, bandpass filtered, and downsampled. Furthermore, instantaneous phase response was calculated for each MLCC.

The dataset contains measurements from both intact and mechanically damaged components for quality assurance purposes (classification task). The acoustic signature of each MLCC is represented by an eight-dimensional feature vectror in the file inputs.mat:

  1. Acoustic emission amplitude at the highest resonace peak
  2. Frequency of the highest resonance peak
  3. Amplitude of the second-highest resonance peak
  4. Frequency of the second-highest resonance peak
  5. Total phase shift during frequency sweep
  6. Median amplitude of 10 of the highest resonance peaks
  7. Median frequency of 10 of the highest resonance peaks
  8. Mean group delay ripple calculated from the phase response of each component

The labels (0=no damage; 1=damage) for each component are found in targets.mat. Note that the labelling process was done by cross-sectioning each component and inspecting the sample visually under a microscope. Therefore, the labels may not be completely accurate, as the signs of damage can be difficult to observe.



It is a dataset of electricity load data and weather data of New York State.


Leaderboard (numbers are kW MAE):

Teams with more than 5 missing submissions are eliminated from the leaderboard.


Last Updated On: 
Mon, 05/10/2021 - 20:31

In this simulation, the DC voltage of the matrix converter is derived using a three-phase linear load as a sample. It shows that the voltage used by the three inverters and the average over the switching period are always the same. It also shows that when the load is constant, the DC current of the inverter is also constant.