AS3/ Expt-g/ Stephen

•Transferir como PPT, PDF•

0 gostou•228 visualizações

Rama Chandra

Determine the g by using a light gate 10.1 2009

Apparatus and materials ,[object Object],[object Object],[object Object]

How to achieve the number of the g ? ,[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Semelhante a AS3/ Expt-g/ Stephen

IRJET - Optical Emission Technique for Understanding the Spark Gap Discharge ...

IRJET Journal

Design and Implementation of PCB Using CNC

IRJET Journal

LifeTimeReport_v7

Marc Alvarez

In this paper, a Coplanar Wave Guide (CPW)-Fed microstrip octagonal patch antenna for RFID Applications is proposed. The studied structure is suitable for 2.45/5.80 GHz applications. The octagonal shape is obtained by making triangular cuts in the four angles of the rectangular microstrip patch antenna; in addition the using of CPW-Fed allows obtaining UWB characteristics in the higher band. The miniaturization in the antenna size for lower band is achieved by introducing an inverted E slot in the radiating element. The proposed antenna is designed on a single and a small substrate board of dimensions 29.5×29.5×1.6 mm3. Moreover the miniaturized antenna has a good impedance matching and an enhanced gain. The simulation analysis was performed using the CADFEKO software, a Method of Moment (MoM) based solver, and a prototype of this antenna was fabricated, good agreement with the simulation providing validation of the design procedure. The measurements are done with ANRITSU MS2026C Vectorial Network Analyzer.

Design, Realization and Measurements of Compact Dual-band CPW-fed Patch Anten...

IJECEIAES

AS3/ Expt-g/ Boren

Rama Chandra

What is Complexity Analysis? What is the need for Complexity Analysis? Asymptotic Notations How to measure complexity? 1. Time Complexity 2. Space Complexity 3. Auxiliary Space How does Complexity affect any algorithm? How to optimize the time and space complexity of an Algorithm? Different types of Complexity exist in the program: 1. Constant Complexity 2. Logarithmic Complexity 3. Linear Complexity 4. Quadratic Complexity 5. Factorial Complexity 6. Exponential Complexity Worst Case time complexity of different data structures for different operations Complexity Analysis Of Popular Algorithms Practice some questions on Complexity Analysis practice with giving Quiz Conclusion

DSA Complexity.pptx What is Complexity Analysis? What is the need for Compl...

2022cspaawan12556

Data acquisition and conversion

Tejas Prajapati

Jamuna Oil Comany Ltd recruitment question & ans (5th july 2018)

Alamin Md

Signals and systems analysis using transform methods and matlab 3rd edition r...

Adelaide789

Lab1_Final

Barbara Pitts

Adarsh Kumar

Magnetic field of a straight wire official.nb

Christopher Ubing

Fluids Lab

Thaddeus Berger

In the various field of life person identification is an essential and important task. This helps for the investigation of criminal activities and used in various type of forensic applications like surveillance. For biometric recognition iris, face, voice and fingerprint have a limited fabrication and from there the exact decision regarding liveliness of the subject can be drawn. The aim of the approach is to construct a biometric recognition system based on ECG which processes the raw ECG signal. The entire process is supported by different filters for noise elimination and ECG characteristics waves gone through time domain analysis. Based on the analysis an efficient feature extraction model is developed where several best P-QRS-T signal parts are taken and the positions of the fragmented signals are normalized depends on the priorities of their positions. The calculation of domain features done 72 times. It checks the data sets (train and test) and from feature vector matching to each of the individual signal, separately. The performance and utility of the system are analyzed and feature vectors are examined by different classification algorithms of machine learning. The leading algorithms like K-nearest neighbor, artificial neural network and support vector machine are used to classify different features of ECG, and it is tested using standard cardiac database i.e. the MIT-BIH ECG -ID database.

Feature extraction of electrocardiogram signal using machine learning classif...

IJECEIAES

This paper presents a critical review of time-frequency distributions (TFDs) analysis for detection and classification of harmonic signal. 100 unique harmonic signals comprise of numerous characteristic are detected and classified by using spectrogram, Gabor transform and S-transform. The rulebased classifier and the threshold settings of the analysis are according to the IEEE Standard 1159 2009. The best TFD for harmonic signals detection and classification is selected through performance analysis with regards to the accuracy, computational complexity and memory size that been used during the analysis.

A Critical Review of Time-frequency Distribution Analysis for Detection and C...

IJECEIAES

AS3/ Expt-g/ Nora

Rama Chandra

CardioGAN Poster

Pritam Sarkar

Toxic Gas Detection-An Experiment with the Simulation Process

IRJET Journal

We present this work by two steps. In the first one, the new structure proposed of the FP-HEMTs device (Field plate High Electron Mobility Transistor) with a T-gate on an 4H-SIC substrate to optimize these electrical performances, multiple field-plates were used with aluminum oxide to split the single electric field peak into several smaller peaks, and as passivation works to reduce scaling leakage current. In the next, we include a modeling of a simulation in the Tcad-Silvaco Software for realizing the study of the influence of negative voltage applied to gate T-shaped in OFF state time and high power with ambient temperature, the performance differences between the 3FP and the SFP devices are discussed in detail.

A modeling and performance of the triple field plate HEMT

International Journal of Power Electronics and Drive Systems

The study of Design of Earthquake Early Warning System for Real Time Using Geomagnetism and Total Electron Content with Fuzzy Logic through competitive grants scheme has obtained the prototype of the earthquake early warning system. However, it still needs improvements on in the calibration of thesensor system especially for MAG3110 sensor and DHT11 sensor. This calibration was done by adjusting the sensor system to the existing measuring devices standards in the Physics Department laboratory of the Sains Faculty Lampung University, to obtain measurement accuracyand to get a good result about where and when the earthquake would occurand how strong the earthquake would be. The calibration of MAG3110 sensor and DHT11 sensor obtained the standard correction results, the standard deviation of MAG3110 from 3 axes, namely x axis was 8.5, y axis was 2.66, and z axis was 1.9, whereas the standard deviation for DH11 sensor was 0.1161.

Calibration of Geomagnetic and Soil Temperatur Sensor for Earthquake Early Wa...

TELKOMNIKA JOURNAL

Semelhante a AS3/ Expt-g/ Stephen (20)

IRJET - Optical Emission Technique for Understanding the Spark Gap Discharge ...

Design and Implementation of PCB Using CNC

LifeTimeReport_v7

Design, Realization and Measurements of Compact Dual-band CPW-fed Patch Anten...

AS3/ Expt-g/ Boren

DSA Complexity.pptx What is Complexity Analysis? What is the need for Compl...

Data acquisition and conversion

Jamuna Oil Comany Ltd recruitment question & ans (5th july 2018)

Signals and systems analysis using transform methods and matlab 3rd edition r...

Lab1_Final

Magnetic field of a straight wire official.nb

Fluids Lab

Feature extraction of electrocardiogram signal using machine learning classif...

A Critical Review of Time-frequency Distribution Analysis for Detection and C...

AS3/ Expt-g/ Nora

CardioGAN Poster

Toxic Gas Detection-An Experiment with the Simulation Process

A modeling and performance of the triple field plate HEMT

Calibration of Geomagnetic and Soil Temperatur Sensor for Earthquake Early Wa...

Mais de Rama Chandra

As/ Expt /G/ Kevin

Rama Chandra

As/ Expt/ G/ Joe

Rama Chandra

As /Expt /G /Garfield

Rama Chandra

A2 /EXPT/THER/RON/FIONA

Rama Chandra

A2/ Expt/ Thermal /Pansy

Rama Chandra

A2/ Expt /Thermal /Neil

Rama Chandra

A2/ Expt /Thermal /Kevin/ Carl

Rama Chandra

A2 /Expt /Thermal /John/ Fred

Rama Chandra

A2/ Expt /Thermal/ Ellie

Rama Chandra

A2 /EXPT/THER/KELLY/APRIL

As /Expt/ G/Stephen

A2/EXPT/THER/KEN/AMY

AS3/ Expt-g/ Teddy

AS3/ Expt-g/ Sweet

AS3/ Expt-g/ Sherry

AS3/ Expt-g/ Shadow

AS3/ Expt-g/ Sarah

AS3/ Expt-g/ Michael He

Rama Chandra

AS3/ Expt-g/ Lekia

Rama Chandra

AS3/ Expt-g/ Joy

Rama Chandra

Mais de Rama Chandra (20)

As/ Expt /G/ Kevin

As/ Expt/ G/ Joe

As /Expt /G /Garfield

A2 /EXPT/THER/RON/FIONA

A2/ Expt/ Thermal /Pansy

A2/ Expt /Thermal /Neil

A2/ Expt /Thermal /Kevin/ Carl

A2 /Expt /Thermal /John/ Fred

A2/ Expt /Thermal/ Ellie

A2 /EXPT/THER/KELLY/APRIL

As /Expt/ G/Stephen

A2/EXPT/THER/KEN/AMY

AS3/ Expt-g/ Teddy

AS3/ Expt-g/ Sweet

AS3/ Expt-g/ Sherry

AS3/ Expt-g/ Shadow

AS3/ Expt-g/ Sarah

AS3/ Expt-g/ Michael He

AS3/ Expt-g/ Lekia

AS3/ Expt-g/ Joy