In optical transport networks, the urgent demand for control efficiency and intelligence has become one of most significant challenges telecom operators. With development in technology, more attention been paid to performance enhancement centralized controller software-defined networks (SDONs). Meanwhile, machine learning (ML) is emerging as a promising technology facilitate planes SDONs. Some research works have conducted use ML solve problems networks. However, it still challenge deploy...

In the era of fifth-generation fixed network (F5G), optical networks must be developed to support large bandwidth, low latency, high reliability, and intelligent management. Studies have shown that software-defined (SDON) artificial intelligence can help improve performance management capabilities networks. Inside a large-scale network, many types alarms are reported indicate anomalies. Relationships between complicated, making it difficult accurately locate source fault(s). this work, we...

This study aims to examine the factors influencing pre-service teachers' altruistic motivation for selecting their profession within a Chinese educational setting. Drawing on existing research, three-element (social-cognitive, emotional, and realistic) model is integrated explore how motivations are formed evolved. Utilizing this model, interview data from 18 students enrolled in Free Teacher Education program were collected analyzed by thematic analysis. The findings indicate that...

A new communication era characterized by cloud services with high bandwidth and low latency requirements is coming. In this era, fixed networks always provide the highest availability for broadband access users. The concept of fifth-generation network (F5G), proposed European Telecommunications Standards Institute (ETSI), to identify generations facilitate adoption wider technical standards. F5G period, future will adapt end-to-end optical fiber architecture. connect users clouds try its...

A fault localization method for optical networks using knowledge graph and neural network is proposed. Experimental demonstration shows that the proposed effective in automating localizing of faults.

One of the visions fifth-generation fixed networks (F5G) is to provide a guaranteed reliable experience (GRE). Optical transport (OTNs) represent primary candidate technology offer high-quality bandwidth in F5G and hence support GRE. Unfortunately, current OTN technologies large-bandwidth tunnels for carrying aggregated (typically, Ethernet) traffic, corresponding protection techniques OTNs consume lot resources. The emergence new called an optical service unit (OSU), which subdivides...

As the most important fabric of fixed networks, optical network plays an role in expanding capacity and providing long distance communication. At present, has entered a key era, i.e., fifth-generation (F5G). one main features F5G, full-fiber connection requires tenfold to hundredfold increase number connections, which means F5G will have tens thousands nodes millions connections. Large-scale networks are composed multiple domains connected each other. The whole can be subdivided according...

We demonstrate construction of alarm knowledge graphs, which is helpful for fault localization in software defined optical networks (SDON). The demonstration shows the method constructing graphs on ONOS-based platform using extraction.

With the rapid development of access and transmission technology fixed networks, fifth-generation network (F5G) era is coming. F5G can support 5th generation mobile networks (5G). All optical service (AOSN) a new prototype for F5G, which aims to realize pipeline aware service. This paper proposes architecture AOSN, discusses typical application scenarios, key technologies, as well challenges opportunities.

At present, the development of optical transport and access network has entered fifth-generation fixed (F5G) era. Services carried by F5G have stringent requirements for performance. Optical networks can provide services with deterministic bandwidth delay after lightpaths are established. The time to establish a lightpath may determine whether service be successfully transmitted. Lightpath establishment includes signaling device configuration delay. Signaling is not as implemented based on...

As an important bearer network of the fifth generation (5G) mobile communication technology, optical transport (OTN) needs to have high-quality performance and management capabilities. Proof by facts, combination artificial intelligence (AI) technology software-defined networking (SDN) can improve significant optimization effects for networks. However, how properly deploy AI in networks is still open issue. The training process models depends on a large amount computing resources data, which...

This study presents a specialized hardware-accelerated neural network tailored for the recognition of handwritten digits in 28x28 pixel grayscale images. Employing perceptron model, our single-layer is composed 10 neurons, each handling inputs from all pixels to generate an output. The digit determined by neuron with highest output value. Implemented synthesizable Verilog, design complies constraint 350 multipliers. To achieve this, this paper employs combination parallel processing and...

Aiming at the problems of many types abnormal states in industrial defective sorting stations, long time consuming analysis causes, and untimely equipment monitoring, control system stations based on IOT2050 is designed. With Siemens PLC-1200 as main body, combined with TIA Portal IOT2050, it realizes design software hardware configuration, programming, WinCC screen cloud platform station system. The simulation results show that runs stably, automatic production operation data great...

This study proposes a fault recovery scheme based on hybrid protection and restoration in F5G, which makes the average advanced services success probability of 15.5% 25.1% higher than benchmarks.

Failure location and prediction are always important issues in optical transport networks, which can be resolved by cross-layer AI proposed self-optimized networks. Some related works experiment results have been given this paper.

A novel service-oriented path construction method is first proposed based on segment routing for F5G, which can reduce latency through label compression. Experiment results show that and blocking probability are significantly reduced.

We propose an extended segment routing-based wisdom automatic service provisioning (SR-WASP) in multi-domain for F5G. Results show that SR-WASP can significantly reduce the blocking probability and latency of lightpath construction.

The Optical Service Unit (OSU) technology enables the optical transport networks to guarantee deterministic transmission for services, and OSU protection scheme (OSU-P) can avoid resource wasting compared traditional ones. However, how design network strategies an excessive number of connections while ensuring efficient service recovery is a crucial issue. This paper proposes multi-granularity connection sharing (MUGP) in networks. Compared maximum initial reserved bandwidth method, average...

In this study, an inspection system is designed to detect the emergence of tilted placed titanium dioxide packages during palletization. An industrial color CCD camera over production line helps obtain picture layer stack in real time. The obtained image will then experience HSV segmentation extract standard labels out for detection. Multiple morphological processes are applied transform into detectable rectangles. After that, angle inclination each package would be detected and calculated...

Traditional fault recovery methods generally consider only one aspect of the network or cloud, which can be a local optimal solution. Under new background cloud and optical integration, how operation maintenance personnel achieve global solution with vision is problem worth studying. This study proposes joint slice (JSFR) algorithm that recovers by comprehensively considering respective weights in case vision. Compared traditional random greedy algorithm, performance JSFR improved 21.8% 4.4%...

This paper develops a combined system based on surface electromyogram (sEMG) and machine vision for recognizing hand gestures of numbers. The will first detect count the number visible colored spots special glove when gesture is completed. Then ten be pre-classified into five categories according to that number. sEMG detection with K Nearest Neighbor (KNN) classifier then introduced further distinguishment. compared accuracy rate between detections only basic time-domain features more...