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Volume 12 2026
3 issues  ·  5 papers

Issue 1

(January - March) 2026

2 papers →

Issue 2

(April - June) 2026

2 papers →

Issue 3

(July - September) 2026

1 paper →
Volume 11 2025
4 issues  ·  11 papers

Issue 1

(January - March) 2025

3 papers →

Issue 2

(April - June) 2025

3 papers →

Issue 3

(July - September) 2025

2 papers →

Issue 4

(October - December) 2025

3 papers →
Vol.11, Issue 1 — (January - March) 2025 3 papers
01

Vol.11, Issue 1 · (January - March) 2025 · ID: IJT-2025-36062

Development of a Reliable ECG QRS Detection Framework Based on Dual-Tree Wavelet Transform

Oussama El Bcharri , Rachid Latif, Abdenbi Abenaou, Khalifa Elmansouri, Wissam Jenkal · ESSI-LISTI Laboratory, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco, Morocco

🕔 Received 31 July 2024; received in revised form 17 Dec. 2024; accepted 05 January 2025

Research Article Biomedical Engineering Biomedical Signal Processing Pg. 1-14
Abstract Electrocardiography is considered as a powerful technique for assessing heart condition. To study cardiac disorders, it is essential to localize and extract the QRS complex: the prominent region within the electrocardiogram signal. Since the QRS complex has various morphologies and is usually contaminated by severe overlapping spectral noise, accurate detection is a complicated task. This paper proposes a reliable method based on the Dual-Tree Wavelet Transform, which uses a threshold process to select the QRS frequency components and reduce the overlapping noise. The QRS deflections are then emphasized using squaring and moving average operators. The chosen decision rule is simple and based on the variance of the signal. The proposed method was tested on the MIT-BIH Arrhythmia database, and the algorithm showed high accuracy detection results compared to those of other recently published works.

Keywords: ECG signal, QRS complex, dual tree wavelet transform

02

Vol.11, Issue 1 · (January - March) 2025 · ID: IJT-2025-95181

Investigation and Optimization of an S21 Detection Circuit Using a Novel Approach

Ming-Che Lee · Department of Mechanical Engineering, National Taipei University of Technology, Taipei, Taiwan, Taiwan

🕔 Received 12 Sep. 2024; received in revised form 14 January 2025; accepted 08 February

Research Article Electrical Engineering RF & Microwave Engineering Pg. 15-28
Abstract This research proposes a novel method to investigate the performance of the S21 detection circuit. Aiming at low frequencies or DC, the method serves as an efficient way of verification and enjoys the benefit of low testing costs. The novel investigation method is demonstrated at 50 MHz and verified by the scattering parameters at 11.05 GHz. Based on the investigation, a model of process variations is constructed. The length of the interface paths is estimated by the model to be 63µm, which is consistent with the corresponding length of 74.6µm in the layout. For the measured phase and magnitude, the model indicates that the process variations in the device under test cause errors of 18.91% and 1.27%, whereas those in the interface paths lead to errors of 1.83% and 1%. Based on the model, practical recommendations are also proposed to further improve the measurement precision in the future.

Keywords: scattering parameters, vector network analyzer, device under test, calibration

03

Vol.11, Issue 1 · (January - March) 2025 · ID: IJT-2025-81426

Efficient Hardware Architecture for Road Network Extraction Using Simplified Gabor Wavelet

C. Sujatha , D. Selvathi, S. Karthigai Lakshmi · Department of ECE, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu, India, India

🕔 Received 02 November 2024; received in revised form 26 January 2025; accepted 27 February 2025

Research Article Computer Science Image Processing & Remote Sensing Pg. 29-46
Abstract Automatic detection of road networks fromthe satellite and aerial images is the most demanded research area, and it is used for various remote sensing applications. The Simplified Gabor Wavelet based approaches are used to extract the road network automatically. In this paper, a field programmable gate array architecture designed for automatic extraction of road network using Simplified Gabor Wavelet is proposed. The hardware implementation results are compared with software implementation results. The performance measures such as completeness, correctness and quality are calculated. In the software implementation, the average value of completeness, correctness, and quality of various images are 91%, 98%, and 89% respectively. In the hardware implementation, the average value of completeness, correctness, and quality are 89%, 97%, and 87% respectively. The performance of the proposed algorithm is also proved in noisy images. These measures prove that the proposed work yields road network very resembling to reference road map.

Keywords: road network extraction, simplified Gabor wavelet, field programmable gate array, connected component

Volume 10 2024
5 issues  ·  13 papers

Issue 1

(January - March) 2024

2 papers →

Issue 2

(April - June) 2024

4 papers →

Issue 3

(July - September) 2024

1 paper →

Issue 4

(October - December) 2024

3 papers →

Issue 10

Issue 10 2024

3 papers →
Volume 9 2023
4 issues  ·  12 papers

Issue 1

(January - March) 2023

3 papers →

Issue 2

(April - June) 2023

2 papers →

Issue 3

(July - September) 2023

2 papers →

Issue 4

(October - December) 2023

5 papers →
Volume 8 2022
7 issues  ·  7 papers

Issue 2

(April - June) 2022

1 paper →

Issue 3

(July - September) 2022

1 paper →

Issue 4

(October - December) 2022

1 paper →

Issue 5

Issue 5 2022

1 paper →

Issue 10

Issue 10 2022

1 paper →

Issue 11

Issue 11 2022

1 paper →

Issue 12

Issue 12 2022

1 paper →
Volume 7 2021
10 issues  ·  15 papers

Issue 1

(January - March) 2021

3 papers →

Issue 2

(April - June) 2021

2 papers →

Issue 4

(October - December) 2021

1 paper →

Issue 5

Issue 5 2021

2 papers →

Issue 7

Issue 7 2021

1 paper →

Issue 8

Issue 8 2021

1 paper →

Issue 9

Issue 9 2021

2 papers →

Issue 10

Issue 10 2021

1 paper →

Issue 11

Issue 11 2021

1 paper →

Issue 12

Issue 12 2021

1 paper →
Volume 6 2020
12 issues  ·  80 papers

Issue 1

(January - March) 2020

7 papers →

Issue 2

(April - June) 2020

6 papers →

Issue 3

(July - September) 2020

8 papers →

Issue 4

(October - December) 2020

5 papers →

Issue 5

Issue 5 2020

8 papers →

Issue 6

Issue 6 2020

8 papers →

Issue 7

Issue 7 2020

4 papers →

Issue 8

Issue 8 2020

7 papers →

Issue 9

Issue 9 2020

7 papers →

Issue 10

Issue 10 2020

11 papers →

Issue 11

Issue 11 2020

7 papers →

Issue 12

Issue 12 2020

2 papers →
Volume 5 2019
19 issues  ·  1424 papers

Issue 1

(January - March) 2019

68 papers →

Issue 2

(April - June) 2019

59 papers →

Issue 3

(July - September) 2019

202 papers →

Issue 4

(October - December) 2019

202 papers →

Issue 5

Issue 5 2019

194 papers →

Issue 6

Issue 6 2019

111 papers →

Issue 7

Issue 7 2019

61 papers →

Issue 8

Issue 8 2019

39 papers →

Issue 9

Issue 9 2019

14 papers →

Issue 10

Issue 10 2019

4 papers →

Issue 11

Issue 11 2019

9 papers →

Issue 12

Issue 12 2019

6 papers →

Issue 13

Issue 13 2019

162 papers →

Issue 14

Issue 14 2019

56 papers →

Issue 15

Issue 15 2019

18 papers →

Issue 16

Issue 16 2019

46 papers →

Issue 17

Issue 17 2019

12 papers →

Issue 18

Issue 18 2019

142 papers →

Issue 19

Issue 19 2019

19 papers →
Volume 4 2018
13 issues  ·  1461 papers

Issue 1

(January - March) 2018

44 papers →

Issue 2

(April - June) 2018

22 papers →

Issue 3

(July - September) 2018

22 papers →

Issue 4

(October - December) 2018

64 papers →

Issue 5

Issue 5 2018

240 papers →

Issue 6

Issue 6 2018

251 papers →

Issue 7

Issue 7 2018

201 papers →

Issue 8

Issue 8 2018

157 papers →

Issue 9

Issue 9 2018

120 papers →

Issue 10

Issue 10 2018

92 papers →

Issue 11

Issue 11 2018

104 papers →

Issue 12

Issue 12 2018

114 papers →

Issue 13

Issue 13 2018

30 papers →
Volume 3 2017
12 issues  ·  216 papers

Issue 1

(January - March) 2017

1 paper →

Issue 2

(April - June) 2017

3 papers →

Issue 3

(July - September) 2017

20 papers →

Issue 4

(October - December) 2017

37 papers →

Issue 5

Issue 5 2017

22 papers →

Issue 6

Issue 6 2017

15 papers →

Issue 7

Issue 7 2017

12 papers →

Issue 8

Issue 8 2017

4 papers →

Issue 9

Issue 9 2017

9 papers →

Issue 10

Issue 10 2017

26 papers →

Issue 11

Issue 11 2017

32 papers →

Issue 12

Issue 12 2017

35 papers →
Volume 2 2016
9 issues  ·  32 papers

Issue 1

(January - March) 2016

1 paper →

Issue 4

(October - December) 2016

7 papers →

Issue 5

Issue 5 2016

7 papers →

Issue 6

Issue 6 2016

1 paper →

Issue 8

Issue 8 2016

1 paper →

Issue 9

Issue 9 2016

3 papers →

Issue 10

Issue 10 2016

5 papers →

Issue 11

Issue 11 2016

4 papers →

Issue 12

Issue 12 2016

3 papers →

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Vol. 12 | Issue 3 | September 2026
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