CSSE

Adaptive Time-Frequency analysis method is of great significance for extracting the fault characteristic frequency of actual complex non-stationary signals. Based on this method, this paper innovatively proposes a multi-channel data acquisition system ...

ABSTRACT: In the application of various fields of cryptography, the generation of the key should be random, because it directly determines the security of the system, so the detection of the random generation of the key is a crucial work in ...

Node breakdown is very common in distributed storage systems, which will result in data loss or damage. Regenerating codes can reduce the network bandwidth cost by broken data recovery. Interference Alignment (IA) code is a type of regenerating code ...

Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process ...

Chronic Disease Medication Data (CDMD) includes a great number of valuable patients’ information collected from smart pillboxes. CDMD sharing in the Chronic Disease Medication Compliance Management System is helpful to improve the medical level and ...

Airborne software is invisible but it can have a critical impact on the safety of aircraft systems. This paper studies the retroactive relationship between the certification regulations of various countries and the ICAO Convention, then analyzes the ...

Airborne software is invisible, intangible, and unlike the physical structures of the aircraft, which can be inspected, measured, and thoroughly tested. Given that airborne software can significantly impact the safety of the aircraft, its abnormal ...

This essay studied various aspects of evaluating airborne software supplier development capability and built an evaluation model by analysis of the influencing factors. The model consists of evaluation indicators, check items, and scores considering ...

The traditional cable supply chain industry has problems such as difficulty in product traceability, production monitoring, rights protection and evidence collection, and data sharing, which seriously restrict the further development of the cable supply ...

Nowadays, China's information technology is constantly developing and healthcare smart manufacturing is being rapidly promoted in China. This paper focuses on the development and application of RFID systems and briefly describes the basic theory of ...

Abstract: Laser confocal scanning micro endoscopy has become the focus of current research because of its ability to achieve high-resolution real-time histological diagnosis and certain depth tomography imaging. In the digital communication system of ...

Power system short-term load forecasting plays an important role in the reliable, safe and economic operation of power system. Power system load forecasting data is an important basis for power grid planning, scheduling, marketing and other departments. ...

The growth of the Web has been exponential in the last two decades. Currently, the WWW offers a large volume of information and services. Although the user has access to this profusion of information, there are different levels of quality in the ...

With the deep integration of artificial intelligence technology and education, the traditional educational pattern has changed hugely. And the adaptive learning based on automatically tracing the knowledge status of students at various stages has ...

To address the problems of large number of parameters, poor real-time performance and low classification accuracy of existing algae image classification models, this paper proposes a lightweight model based on MobileNetV2. By using the GELU activation ...

Human pose estimation methods have developed rapidly in recent years and many high precision models have emerged. However, the computational costs of these methods are often very huge, especially for transformer-based models. In this work, we propose ...

Cross-modal tasks between text and images are increasingly a research hotspot. This paper proposed a cross-text-image generative adversarial network(CTI-GAN). This model can complete the cross-modal bidirectional generation task between image and text. ...

In recent years, the metro passenger flow in big cities has been increasing, and some lines are often crowded and delayed, which brings great pressure to the metro operation and management department. Therefore, it is urgent to build a scientific and ...

Aiming at the problem that the temperature of display screen of a shipboard cabinet is higher than the limit demand, the thermal simulation software ICEPAK is used to carry out numerical analysis of the internal temperature field of the cabinet and the ...

Aiming at the problems of high randomness and low prediction accuracy of power load data, a power load prediction model is formed by integrating Singular Spectrum Analysis(SSA) and a Gated Recurrent Unit(GRU) network with a feature mapping layer added, ...

At present, the classification of “toxic comment” is mainly studied in the English context, whereas Chinese context is less explored and even lacks a public corpus. As many comment are short texts with sparse features and strong context dependence, ...

In China's urban traffic, the number of electric bicycles is increasing. Therefore, it becomes particularly important to accurately detect the behavior of electric bicycles and their riders through road traffic monitoring and implement efficient ...

Subgraph matching is a classical graph task, which finds all subgraphs that are isomorphic to the query graph in a labeled data graph. According to the theoretical basis, there are three types of subgraph matching methods: exploration-based methods, ...

This paper collects and sorts out the relevant data of Guangxi's cultural industry and tourism industry from 2010 to 2019, and analyzes and clarifies the degree of integration and existing problems of cultural tourism in Guangxi based on the coupling ...

Software test case selection is committed to select the fewest test cases from test suites to perform a complete test at the least cost. Machine learning and multi-objective optimization techniques have developed rapidly in recent years, and they have ...

Aiming at the problems of information overload and insufficient personalized service in multi-service system, a click-through rate prediction model based on LightGBM and DeepFM (LGDF) for multi-service systems is proposed. The LGDF model is based on the ...

Recent advances in three-generation sequencing technology allow for the rapid generation of large throughput of long reads, and mapping these long reads to a reference sequence is one of the first and most time-consuming steps in the downstream ...

Sentence representation learning can transform sentences into fixed format vectors, and provides foundation for downstream tasks such as information retrieval, semantic similarity analysis, etc. With the popularity of contrastive learning, sentence ...

The aim of the few-shot relation extraction (FSRE) method is to study the relation classification problem with fewer samples. An effective few-shot relation extraction model EnAttConceptFERE is proposed to effectively classify relationships through ...