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My School Activities
The activities of the primary school 1
The activities of the primary school 1
dienc1ttcn
Merin Resume- New
Merin Resume- New
Merin Mathew
Stereo matching for 2d face recognition
Stereo matching for 2d face recognition
student
The face is our primary focus of attention in social intercourse, playing a major role in conveying identity and emotion. We can recognize thousands of faces learned throughout our lifetime and identify familiar faces at a glance even after years of separation. This skill is quite robust, despite large changes in the visual stimulus due to viewing conditions, expression, aging, and distractions such as glasses, beards, changes in hairstyle. Though human faces are complex in shape, face recognition is not difficult for a human brain whereas for a computer this job is not easy. In this paper presents and analyzes the performance of Principle Component Analysis (PCA) based technique for face recognition. We consider recognition of human faces with two facial expressions: single and differential. The images that are captured previously constitute the training set. From these images eigenfaces are calculated. The image that is going to be recognized through our system is mapped to the same eigenspaces. Next I used classification technique namely distance based used to classify the images as recognized or non-recognized. Presently I got result for the single facial expression now I am working for different facial expression.
Face Recognition for Different Facial Expressions Using Principal Component a...
Face Recognition for Different Facial Expressions Using Principal Component a...
AM Publications
Buat UTS Matkul Mopro di kampus.
RumahPintar Prototype
RumahPintar Prototype
Herpiko Dwi Aguno
book
Majdak
Majdak
Tomislavladan
This MSc thesis falls in the field of features extraction from ECG signals in order to build automatic analysis system to help cardiologist in their work. In this work we presented new approach for detecting features from ECG signals depending on nonlinear derivative scheme for one dimension 1D NLFS. We started by proposing a theatrical model for exploiting this scheme to detect features from free of noise synthetic ECG signal, then we developed this model to overcome challenges that appears in real noisy ECG signals to build new approach. We started detection by QRS complex peak detection as a first step, and then we extended the approach to detect the onset and end for P and T-waves in the beat. Performance evaluation of our approach have been conducted on records from MIT QT Standard Database that has manual annotations by experts for testing the sensitivity, positive predictivity, mean error and standard deviation for detection of each feature separately. The results obtained from this single lead-based ECG , analysis approach are promising especially in P and T-waves delineation. Because it is the first use of 1D NLFS approach in the field of feature extraction, there is a big chance to enhance the performance in the future and to extend the application of this approach for more type of signals. Then we tested how much this approach is robust against noise, by applying this approach on synthetic ECG signals with different level of noise. It gives good performance against noise.
Medical multi signal signature recognition applied Cardiac Diagnosis
Medical multi signal signature recognition applied Cardiac Diagnosis
Taleb ALASHKAR
Questionnaire results
Questionnaire results
Questionnaire results
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My School Activities
The activities of the primary school 1
The activities of the primary school 1
dienc1ttcn
Merin Resume- New
Merin Resume- New
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Stereo matching for 2d face recognition
Stereo matching for 2d face recognition
student
The face is our primary focus of attention in social intercourse, playing a major role in conveying identity and emotion. We can recognize thousands of faces learned throughout our lifetime and identify familiar faces at a glance even after years of separation. This skill is quite robust, despite large changes in the visual stimulus due to viewing conditions, expression, aging, and distractions such as glasses, beards, changes in hairstyle. Though human faces are complex in shape, face recognition is not difficult for a human brain whereas for a computer this job is not easy. In this paper presents and analyzes the performance of Principle Component Analysis (PCA) based technique for face recognition. We consider recognition of human faces with two facial expressions: single and differential. The images that are captured previously constitute the training set. From these images eigenfaces are calculated. The image that is going to be recognized through our system is mapped to the same eigenspaces. Next I used classification technique namely distance based used to classify the images as recognized or non-recognized. Presently I got result for the single facial expression now I am working for different facial expression.
Face Recognition for Different Facial Expressions Using Principal Component a...
Face Recognition for Different Facial Expressions Using Principal Component a...
AM Publications
Buat UTS Matkul Mopro di kampus.
RumahPintar Prototype
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This MSc thesis falls in the field of features extraction from ECG signals in order to build automatic analysis system to help cardiologist in their work. In this work we presented new approach for detecting features from ECG signals depending on nonlinear derivative scheme for one dimension 1D NLFS. We started by proposing a theatrical model for exploiting this scheme to detect features from free of noise synthetic ECG signal, then we developed this model to overcome challenges that appears in real noisy ECG signals to build new approach. We started detection by QRS complex peak detection as a first step, and then we extended the approach to detect the onset and end for P and T-waves in the beat. Performance evaluation of our approach have been conducted on records from MIT QT Standard Database that has manual annotations by experts for testing the sensitivity, positive predictivity, mean error and standard deviation for detection of each feature separately. The results obtained from this single lead-based ECG , analysis approach are promising especially in P and T-waves delineation. Because it is the first use of 1D NLFS approach in the field of feature extraction, there is a big chance to enhance the performance in the future and to extend the application of this approach for more type of signals. Then we tested how much this approach is robust against noise, by applying this approach on synthetic ECG signals with different level of noise. It gives good performance against noise.
Medical multi signal signature recognition applied Cardiac Diagnosis
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Questionnaire results
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Kelas 10 smk_simulasi_digital_1
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โครงการพัฒนาหลักสูตรท้องถิ่นโรงเรียนเมืองร้อยเอ็ด ภูวนัย แสนเสนา
โครงการพัฒนาหลักสูตรท้องถิ่นโรงเรียนเมืองร้อยเอ็ด
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This work describes about the designing of Advanced Encryption System suitable for areas requiring maximal area minimization such as that for mobile phones. As the demand for secure transactions in banking and such related areas is increasing, encryption and decryption using cryptography plays a very important role. Nowadays, as majority of secure transactions occurs on smart phones and other handheld devices, an algorithm that consumes less area and that without compromising with overall performance becomes a necessity. In order to meet this requirement, several algorithms have been designed and implemented in the past, but each of these algorithms possess their own shortcomings with respect to an ASIC or an FPGA implementation. The design is done using Verilog hardware description language which provides an immediate hardware implementation possibility. The hardware implementation of the system is faster when compared to the conventional designs. We utilize the techniques involved in Vedic mathematics to realize the same. Comparisons are carried out with the conventional designs to state the advantages of the proposed design.
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Jaro je tady! - Spring is here (Judith) 3 Jarní prezentace od Judith - 3. díl. Hudba: Yakuro — Breath of Spring.
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This is a tattoo magazine featuring images and articles from various artists. Some articles can be attributed to ChatGPT. Please see contributors page for further information.
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This work describes about the designing of Advanced Encryption System suitable for areas requiring maximal area minimization such as that for mobile phones. As the demand for secure transactions in banking and such related areas is increasing, encryption and decryption using cryptography plays a very important role. Nowadays, as majority of secure transactions occurs on smart phones and other handheld devices, an algorithm that consumes less area and that without compromising with overall performance becomes a necessity. In order to meet this requirement, several algorithms have been designed and implemented in the past, but each of these algorithms possess their own shortcomings with respect to an ASIC or an FPGA implementation. The design is done using Verilog hardware description language which provides an immediate hardware implementation possibility. The hardware implementation of the system is faster when compared to the conventional designs. We utilize the techniques involved in Vedic mathematics to realize the same. Comparisons are carried out with the conventional designs to state the advantages of the proposed design.
Design of advanced encryption standard using Vedic Mathematics
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DeFeliceKitley_Resume_BFAVCDGraduated2024
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This is a tattoo magazine featuring images and articles from various artists. Some articles can be attributed to ChatGPT. Please see contributors page for further information.
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Crystal Trophy with Yellow Eagle at Clazz Trophy Malaysia | #1 Reliable Troph...
Clazz Trophy Malaysia
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obat aborsi wonogiri wa 081336238223 jual obat aborsi cytotec asli di wonogir...
obat aborsi wonogiri wa 081336238223 jual obat aborsi cytotec asli di wonogir...
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Crystal Trophy with Yellow Eagle at Clazz Trophy Malaysia | #1 Reliable Troph...
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obat aborsi wonogiri wa 081336238223 jual obat aborsi cytotec asli di wonogir...
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The activities of the primary school 1qjpg
1.
THE ACTIVITIES OF CAI
NHUM PRIMARY SCHOOL IN THE YEARS:2014-2015
2.
PC Period
3.
TEACHERS
4.
ENGLISH BOOKS
5.
6.
Learning English
7.
Taking Exams
8.
Thanks for your
looking!
9.
Good luck to
your Family!
Editor's Notes
Tập thể giáo viên của Trường
Giáo Trình Anh văn
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