mail
scientific@pphmj.com
logo

Far East Journal of Electronics and Communications

📢 Latest Update: New special issue call for papers on "Emerging Technologies in Research" - Submit by March 31, 2025

📢 Latest Update: New special issue call for papers on "Emerging Technologies in Research" - Submit by March 31, 2025

September 16, 2025

Volume 30, Issue 1 - $2026

Volume 30 Issue 1 Cover

Issue Details:

Volume 30 Issue 1
Published:Invalid Date

Editorial: September 16, 2025

Welcome to the 2026 issue of Far East Journal of Electronics and Communications. This issue showcases the remarkable breadth and depth of contemporary research across multiple disciplines. From cutting-edge applications of machine learning in climate science to the revolutionary potential of quantum computing in drug discovery, our featured articles demonstrate the power of interdisciplinary collaboration in addressing global challenges.

We are particularly excited to present research that bridges traditional academic boundaries, reflecting our journal's commitment to fostering innovation through cross-disciplinary dialogue. The integration of artificial intelligence with environmental science, the application of blockchain technology to supply chain management, and the convergence of urban planning with smart city technologies exemplify the transformative potential of collaborative research.

As we continue to navigate an era of rapid technological advancement and global challenges, the research presented in this issue offers both insights and solutions that will shape our future. We thank our authors, reviewers, and editorial board members for their continued dedication to advancing knowledge and promoting scientific excellence.

Professor Bal S. Virdee
Editor-in-Chief
Far East Journal of Electronics and Communications

Articles in This Issue

Showing 5 of 5 articles
Research PaperID: FJEC1300030Pages 7-20

Adaptive cruise control of vehicle with visual feedback of a webcam

Hou-Tsan Lee

The proposed adaptive cruise control system of vehicle guidance is based on the visual feedback from the webcam mounted on the vehicle. The road lines are identified first with the help of image processing techniques based on Hugh transform. Following, the tracking system is also developed based on some simple control algorithms to make the vehicles running inside the drivable area with or without a car in front within a safety speed limit. The computing of these control algorithms can be operated at a control center which connects the vehicles via WiFi communication system or directly on the microprocessor built in the vehicles to exchange the image information and control commands. Furthermore, the control center can monitor all the vehicles in some certain area for further applications such as dynamically planning the routes for all the vehicles to avoid congestion. To simplify the experimental setup, the drivable area is confined to a superhighway with only cars allowed on the road. The experimental results are given to demonstrate the effectiveness of the proposed control system. Received: August 10, 2025 Accepted: August 28, 2025 DOI: https://dx.doi.org/10.17654/0973700626002

adaptive cruise controlvisual-based controlvehicle control.
3,835 views
1,091 downloads

Contributors:

 Hou-Tsan Lee
Research PaperID: FJEC1300037Pages 29-43

From knowing to feeling: Cultivating social work empathy through embodied experience in virtual reality

Yih-Chang Chen, Chia-Ching Lin

Acknowledging the constraints inherent in conventional teaching approaches for cultivating empathy, the present study sought to assess the efficacy of an immersive Virtual Reality (VR) training intervention tailored for social work students. Utilizing a quasi-experimental design with pre-test and post-test measures alongside a control group, the research involved 82 participants enrolled in social work programs. The experimental cohort  participated in a 15-minute immersive VR simulation portraying a high-risk family scenario, whereas the control cohort  engaged with an equivalent text-based case study. Empathy levels were quantified using the Interpersonal Reactivity Index (IRI). Analysis of Covariance (ANCOVA) indicated that participants in the VR condition exhibited significantly greater enhancements in Perspective-Taking (PT) and Empathic Concern (EC) relative to those in the control condition  Additionally, the degree of experienced presence within the VR environment was positively associated with an increase in empathy. These results offer compelling empirical evidence supporting the integration of VR as an effective pedagogical instrument, promoting an embodied cognition framework within social work education and providing a validated module for the development of innovative curricular designs. Received: September 20, 2025 Accepted: October 7, 2025 DOI: https://dx.doi.org/10.17654/0973700626004

Virtual Reality (VR)empathy trainingimmersive learningsocial work educationperspective-taking
3,868 views
1,205 downloads

Contributors:

 Yih-Chang Chen
,
 Chia-Ching Lin
Research PaperID: FJEC1300012Pages 1-5

Noise reduction and signal path loss analysis of FM transmission in hilly terrain of Nepal: Case study of Dolakha

Diwakar Paudel

This paper investigates the effects of terrain-induced signal loss on FM radio transmission for community radio stations operating in the hilly regions of Nepal, with a specific focus on Dolakha district. Using terrain profiling through Google Earth and signal modeling with Free Space Path Loss (FSPL) along with knife-edge diffraction loss assumptions, we simulate the received signal strength at various distances from a 100 MHz FM transmitter in Charikot. The results demonstrate critical signal degradation in NLoS areas due to terrain obstructions. Based on the findings, repeater stations and directional antennas are recommended to optimize signal delivery in shadowed zones. Received: July 7, 2025 Accepted: July 23, 2025 DOI: https://dx.doi.org/10.17654/0973700626001

wireless propagationterrain modelingcommunity radioknife-edge diffractionDolakhaFM signal loss+1 more
3,399 views
1,154 downloads

Contributors:

 Diwakar Paudel
Research PaperID: FJEC1300032Pages 21-28

Optimum synthesis of nonuniformly excited and unequally spaced antenna arrays

Mohammad Khalaj-Amirhosseini

Nonuniformly Excited and Unequally Spaced Arrays (NEUSA) are synthesized optimally. These general type of linear antenna arrays are synthesized to have maximum directivity and minimum Amplitude Dynamic Range (ADR) for a specified sidelobe level (SLL). For this purpose, both positions of antennas and the excitation currents of antennas are considered variable and are optimized simultaneously. A relation is obtained for calculating directivity of NEUSAs versus their amplitude and positions. The presented method is investigated by a comprehensive example. The optimum synthesized arrays have both higher directivity and lower amplitude dynamic range than both equally spaced arrays and uniformly excited arrays. Received: August 28, 2025 Accepted: September 4, 2025 DOI: https://dx.doi.org/10.17654/0973700626003

Nonuniformly Excited and Unequally Spaced Arrays (NEUSA)maximum directivityspecified sidelobe level
3,734 views
1,183 downloads

Contributors:

 Mohammad Khalaj-Amirhosseini
Research PaperID: FJEC1300028Pages 45-57

Phase-only synthesis of linear and planar arrays using auto correlation matching method

Mohammad Khalaj-Amirhosseini

We present autocorrelation matching method as a phase-only synthesis method to design power pattern of both linear and planar antenna arrays. Equating the autocorrelation coefficients of an array having a presumed amplitude of antennas to those of a previously designed amplitude-phase array forms the basis of this method. Considering certain examples, the effectiveness of the proposed method for both linear and planar arrays has been verified. Received: August 4, 2025 Revised: September 5, 2025 Accepted: October 16, 2025 DOI: https://dx.doi.org/10.17654/0973700626005

autocorrelation matching methodantenna array synthesisphase-only synthesis.
3,795 views
1,032 downloads

Contributors:

 Mohammad Khalaj-Amirhosseini