Business Intent and Network Slicing Correlation Dataset from Data-Driven Perspective.

Intent-Based Networking (IBN) is an emerging network management technology that enables automated configurations based on user intents. A critical aspect of IBN is the accurate and autonomous extraction of user intents and their translation into a language comprehensible by network management systems. However, the current scarcity of publicly available datasets for intent extraction presents significant challenges.

Belief Propagation Optimization for Lossy Compression Based on Gaussian Source.

In the Internet of Things, sensor nodes collect environmental information and utilize lossy compression for saving storage space. To achieve this objective, high-efficiency compression of the continuous source should be studied. Different from existing schemes, lossy source coding is implemented based on the duality principle in this work.

Capture-Aware Dense Tag Identification Using RFID Systems in Vehicular Networks.

Passive radio-frequency identification (RFID) systems have been widely applied in different fields, including vehicle access control, industrial production, and logistics tracking, due to their ability to improve work quality and management efficiency at a low cost. However, in an intersection situation where tags are densely distributed with vehicle gathering, the wireless channel becomes extremely complex, and the readers on the roadside may only decode the information from the strongest tag due to the capture effect, resulting in tag misses and considerably reducing the performance of tag identification. Therefore, it is crucial to design an efficient and reliable tag-identification algorithm in order to obtain information from vehicle and cargo tags under adverse traffic conditions, ensuring the successful application of RFID technology.

Treatment of Ni-EDTA containing wastewater by electrochemical degradation using Ti self-doped TiO nanotube arrays anode.

Ethylene diamine tetraacetic acid (EDTA) could form stable complexes with nickel due to its strong chelation. Ni-EDTA has significant impacts on human health because of its acute toxicity and low biodegradability, thus some appropriate approaches are required for its removal. In this research, a Ti self-doped TiO nanotube arrays electrode (ECR-TiO NTA) was prepared and employed in electrochemical degradation of Ni-EDTA.