Artificial Intelligence Technology in Optical Fiber Communication Engineering

Optical fiber communication engineering as a kind of “wired” optical communication mode which uses light wave as carrier and optical fiber as transmission medium to transmit information from one place to another, especially optical fiber has a special position in the communication industry due to its unique advantages of wide transmission frequency band, high anti-interference and small signal attenuation. It has important practical value for the deep research of the area setting and protection of optical fiber and cable in the optical fiber communication engineering. However, at present, there is no complete management system in the aspects of hardware processing, fiber optic cable protection and the guarantee of the introduction of related talents, so it is urgent to innovate and develop the existing path. Based on this, this paper first analyzes the problems of optical fiber guarantee in the intelligent technology system construction of optical fiber technology in the field of communication engineering, and then puts forward the construction strategy of intelligent protection and breakthrough technology in optical fiber communication technology system.

Research of Light Field Technology

Light field technology is a relatively new theory and technical direction. At present, it has played a significant role in scientific research, production and life, national defense and military, but there are still many problems to be solved in terms of theoretical description, technical implementation, software and hardware processing capabilities, commercialization costs, and ease of use. Therefore, research the light field technology, explore the principle and application of light field imaging, and put forward some enlightenments for its application in industrial machine vision.

A Model for the Digital Method of Measuring LED Incident Photocurrent

Pulse oximeters and other light based sensor types are used to monitor arterial blood oxygen levels, heart rate, and much more that rely on LEDs and photodiodes. The conventional method of using photodiodes to detect light signals is accurate, but requires relatively expensive hardware processing to extract the signal. Digital sensing of light using an LED provides a low-cost alternative by using a voltage threshold timing method. However, the accuracy of this method is dependant on the microcontroller clock speed and suffers from variable sample rate (100 us to 10 ms). This paper develops a model for a digital light sensing method using only a microcontroller’s ADC and timer, and an LED. Using the voltage discharge curve of a reverse biased LED, the sensor is capable of accurately detecting light intensities ranging from 0–3885 mcd at a sample period of 500 us. A linear relationship was found through the incident light intensity ranges of 0 to 3880 mcd. The model fit the expected experimental values, with an estimated photocurrent ranging from 10 pA to 55 nA. With an R2 of 0.9997, the model demonstrates the digital sensing method linearly responds to incident light intensity and can simplify the design of pulse oximeters and similar light based sensor types.

Flexible 5G New Radio LDPC Encoder Optimized for High Hardware Usage Efficiency

Quasi-cyclic low-density parity-check (QC–LDPC) codes are introduced as a physical channel coding solution for data channels in 5G new radio (5G NR). Depending on the use case scenario, this standard proposes the usage of a wide variety of codes, which imposes the need for high encoder flexibility. LDPC codes from 5G NR have a convenient structure and can be efficiently encoded using forward substitution and without computationally intensive multiplications with dense matrices. However, the state-of-the-art solutions for encoder hardware implementation can be inefficient since many hardware processing units stay idle during the encoding process. This paper proposes a novel partially parallel architecture that can provide high hardware usage efficiency (HUE) while achieving encoder flexibility and support for all 5G NR codes. The proposed architecture includes a flexible circular shifting network, which is capable of shifting a single large bit vector or multiple smaller bit vectors depending on the code. The encoder architecture was built around the shifter in a way that multiple parity check matrix elements can be processed in parallel for short codes, thus providing almost the same level of parallelism as for long codes. The processing schedule was optimized for minimal encoding time using the genetic algorithm. The optimized encoder provided high throughputs, low latency, and up-to-date the best HUE.

Experimental Implementation and Performance Evaluation of an IoT Access Gateway for the Modbus Extension

This paper presents the relevant aspects regarding the experimental implementation and performance evaluation of an Internet of things (IoT) gateway for the Modbus extension. The proposed Modbus extension specifications are extended by defining the new optimized message format, and the structure of the acquisition cycle for obtaining a deterministic temporal behavior and solutions are presented for the description of devices at the MODBUS protocol level. Three different implementations are presented, and the Modbus extension’s performance is validated regarding the efficiency in the use of the acquisition cycle time. The software and hardware processing time and the importance and effect of the various components are analyzed and evaluated. They all support the implementation of an Internet of things gateway for Modbus extension. This paper introduces solutions for the structure of the acquisition cycle to include other valuable extensions, discusses the performance of a real implementation in the form of a gateway, adds new features to the Modbus extension specification, and strengthens some of the existing ones. In accordance with the novelty and contribution of this paper to the field of local industrial networks, the results obtained in the analysis, testing, and validation of the Modbus extension protocol refer to the extending of the Modbus functions for industrial process monitoring and control management.

A Parallel Strategy for a Genetic Algorithm in Routing Wavelength Assignment Problem Using GPU with CUDA

This paper presents a parallel strategy with a heuristic approach to reduce the execution time bottleneck of a routing and wavelength assignment problem in wavelength-division multiplexing networks of a previous work that uses a sequential genetic algorithm. As the parallelization solution, the GPU hardware processing on CUDA architecture and CUDA C programming language were adopted. The results achieved were between 35 and 40 times faster than the sequential version of the genetic algorithm.

Pattern Recognition for Veins and Feature Extraction Techniques

Among the biometric system approaches, the Vein Pattern Recognition (VPR) is one of the rapidly expanding aspects of medical image enhancement and scanning. Whereas the ideology behind the technique is modest, there are some problems reported throughout the implementation and designing of vein scanning devices, regarding the hardware lighting framework and the real algorithms utilized for the implementation and processing of a number of images. To maintain the scanning issues to minimize measure, the images from the cameras have to be nearly noiseless and the algorithms have to be capable of detecting the patterns of the veins in different actual-life scenarios. Most implementations of the approach have been commercialized which makes it necessary to launch a system which can extract, analyse and detect the precise human vein patterns whereas maintaining the minimal costs and minimizing the computation requirements of image processing algorithms. Based on that this provides a critical survey of pattern recognition for VPR. Moreover, it provides the hardware processing and implementation remedies based on the approach.