Feb 23
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The IUP Journal of Telecommunications
ISSN: 0975-5551
A 'peer reviewed' journal indexed on Cabell's Directory,
and also distributed by EBSCO and Proquest Database
It is a quarterly journal that publishes multidisciplinary research papers encompassing conceptual, theoretical and empirical studies relating to: Modeling, analysis, design and management of telecommunication systems; Transmission systems and Signaling system; Time division switching systems; Radio waves, Radar imaging, Satellite communication; Artificial Intelligence; Fibre optics and Photonic switching; Performance evaluation of Wide Area and Local Networks; Security issues of Mobile Networks; Standardization and regulatory issues, etc.
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Design and Implementation of Fm Transmitter for Security and Communication Purpose
Frequency Modulation (FM) transmitter is a small electronic gadget that has a wire (aerial), produces electromagnetic radio waves, and is capable of transmitting energy through space. It generates radio frequency signals that can be received by a well-designed antenna. At the point where signal reception occurs, the radio waves get energized by a rotating current in the receiving wire. It is therefore, a complex gadget considered to be a high voltage energy system. Its design is complex and thus demands critical maintenance procedures which are costly. In Kenya, there is rapidly growing demand for the use of FM transmitters both among individuals and institutions. This work is carried to design, construct and implement an FM transmitter that is cheaper to buy, easy to maintain and expected to be equally efficient when in operation. An FM transmitter was designed and constructed using transistors, resistors, coils, capacitors and microphone. It was mounted on testing a symbolic bed assumed to be of a patient (at Coast Level Five Hospital), who figuratively required the attention of medical personnel (doctor/nurse/caretaker). It was connected to 12V DC power source and tested. The results revealed that a locally designed FM transmitter that operates on low power can be designed to have an appreciable range of signal transmission. It is recommended that further investigations be carried out on the signal coupling circuit so as to improve the range of transmission further.
Developing a Sign Language Interpreter for Speech-Impaired People Using Arduino
Communication helps one to share information with others, but it is a big challenge for speech-impaired people to express and convey their feelings. Persons who have lost their ability to speak and hear find it difficult to connect with others. Speech-impaired people communicate with others using sign language. In this study, we present the design of a smart glove to help the speech-impaired communicate with others. The aim of this device is to decrease the chance of communication barriers between the speech-impaired and others. It enables the speech-impaired to communicate normally with everyone without taking others' help. Further, the device is cost-effective and affordable.
Optimized Feeder Line for Low-Profile Antennas
In recent Radio Frequency (RF) systems, optimized feeder lines are used to minimize signal loss and improve impedance matching. The paper designs an optimized feeder line for low-profile antennas using RF toolbox in MATLAB software. Conventional feed-based impedance matching techniques are often complex to design, and sometimes loss occurs due to impedance mismatch. For that external matching technique, i.e., quarter-wave transformer is essential. In addition, various parameters such as reflection coefficient, Voltage Standing Wave Ratio (VSWR), return loss and S11 are considered to determine the best impedance matching. RF toolbox provides a comprehensive set of functions and algorithms to design, analyze and optimize RF systems and circuits, including microstrip antennas and matching networks.
Track Detection System for Driving Using Image Processing and Deep Learning
The development of intelligent motors heavily depends on lane detection. The paper proposes track detection to address issues like truncated detection accuracy of conventional techniques and poor real-time performance of sub-part of Machine Learning-based procedures. The proposed lane detection set of rules outperformed both traditional methods and Deep Learning-based methodologies in terms of accuracy, real-time performance, detection performance and interference resistance. Correct reputation cost and average processing time showed significant improvements. The provided set of guidelines is deemed to be essential for promoting the technological level of intelligent driver assistance and intelligent driver protection.
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