Feb 23
The IUP Journal of Telecommunications
Focus
The first two papers address the hardware design strategy to improve the physical layer of the communication link in a wireless distribution network. The remaining papers focus on the intelligent control aspects of a network to improve its performance in terms of operation, control and automation.
In a public or a private communication network service, the usage of low-cost FM transmission systems is becoming an attractive option in some remote territorial areas. These conventional FM systems are being constantly improved and appropriately interfaced with existing digital servicing platforms and have emerged as a cheaper connection tool to the end users at a remote place. The first paper, " Transmitter for Security and Communication Purpose", by Dominic Ondieki Nyamieri and Cliff Orori Mosiori, reports a suitable solution to an existing design of an FM transmission system to mitigate the critical maintenance procedures required in such systems for a better performance. The paper proposes a superior design for an affordable FM transmitter.
The second paper, "Optimized Feeder Line for Low-Profile Antennas", by Sravan Srinivas Addipalli, Anjali Badda, Raja Balaka, Sai Rajive Bhaskar Ivaturi and Sasibhushan Rao, presents a suitable design of an optimized feeder line for a low-profile antenna operating at radio frequency. The design considers quarter wave transform to overcome impedance mismatch and reports a better performance.
Recently, some intelligent capabilities of a wireless network have been extensively used in various human-machine interface related activities, including industrial automation, healthcare, autonomous vehicles and many more applications. One of the crucial applications of such capability is to utilize the hardware and software capability of sensor devices to design and develop a system that can aid a speech-impaired person to communicate with the machine. The third paper, "Developing a Sign Language Interpreter for Speech-Impaired People Using Arduino", by Jalamanchili Sai Gana Manideep, K Santosh Prasad, S Vishal Ram and Nirmala Jegadeesan, presents the design of a smart globe to ease the communication ability of speech-impaired persons.
The last paper, "Track Detection System for Driving Using Image Processing and Deep Learning", by Anand Dohare, Ajay Kumar Sahu, Swastika Sharma and Dushyant Bhati, presents a track detection system using the Deep Learning techniques based on suitable Machine Learning approach to identify a suitable track path for autonomous vehicle from a multipath track system. The proposed procedures provide superior detection sets of rules which outperform the traditional methods in the identification of a path for a vehicle in a multitrack vehicle transport system.
Consulting Editor
| Article | Price (₹) | ||
| Design and Implementation of Fm Transmitter for Security and Communication Purpose |
100
|
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| Developing a Sign Language Interpreter for Speech-Impaired People Using Arduino |
100
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| Optimized Feeder Line for Low-Profile Antennas |
100
|
||
| Track Detection System for Driving Using Image Processing and Deep Learning |
100
|
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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.