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Building Extraction from High-Resolution Remote Sensing Image Based on Improved ResUNet Network
Existing methods include traditional methods and deep learning-based methods, but there are problems such as inefficiency and poor generalization ability. In this paper, a new method named IARUNet is proposed, which integrates Improved Atrous Spatial ...
A Visual Based Algorithm for Measuring the Speed of Scrap Metal Vibration Feeding
In the field of steel metallurgy, scrap metal logistics in electric arc furnaces are typically conveyed horizontally through inertia-based vibratory conveyors. However, due to the different types, sizes, and appearances of scrap metal, as well as the ...
Semantic segmentation for virtual-real fusion data processing in nonferrous metal process industry
By combining high-precision virtual models and actual data, virtual-real fusion technology can significantly improve the production efficiency, quality control and safety of non-ferrous metal process industry, and optimize the production process. In the ...
A BERT and TextCNN integration-based Method for Public Complaints and Proposals Text Classification
With the wide use of Blockchain technology and online public complaints and proposals (hereinafter referred to as PCP) platforms, huge amounts of data are accordingly produced, which poses a challenge on the government's effectively choosing and ...
An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production
The Autonomous and controllable of the spacecraft component is of great importance for the development of our space industry. The key step of the spacecraft component is the production. Many researchers focus on the estimation of the autonomous and ...
Comprehensive Review: Advancing Cognitive Computingthrough Theory of Mind Integration and Deep Learning in Artificial Intelligence
In this article, we will review our advances in intelligence modeling the mind and explore various efforts to mimic the processes that would allow humans to perform cognition files and line widgets of processing. It presents ideas and stresses how ...
Kinematics Behaviors Evaluation of a Naval Ship Survival Training Simulation System in Case of Longitudinal Shaking
This paper focuses on studying and analyzing the kinematics characteristics of the Naval Ship Survival Training Simulation System (NSSTSS) in the case of longitudinal shake of the anti-sinking chamber on the ship. Based on the analysis of the motion state ...
Intelligent Control Method and Application of Sintering Process
Sintering process is one of the most important parts during the whole iron and steel production, the quality of the produced sinter is directly affected by the stability of the sintering process, and high-quality sinter is beneficial to the subsequent ...
Game-based Intelligent Optimization for Pricing of Duopoly Industrial Supply Chains based on Two-level Gradient Equilibrium Algorithm
Recently, intelligent computation algorithms have been extended into every field, and the trend of digitization and intelligence in the decision-making system of supply chain management is becoming more and more obvious. In this article, the pricing ...
Optimization of Agent Patrol Algorithm for Patrolling Set of Points with Different Frequency
The design of agent patrol system with different task targets needs to develop reasonable patrol algorithms and strategies. This work proposes an efficient algorithm to optimize robotic patrol system based on the pinwheel scheduling algorithm and the ...
Wind Speed and Direction Detection Device Based on Annular Wind Tunnel
This paper mainly introduces the wind speed and wind direction detection device based on the annular wind tunnel. The device consists of two parts, which are the wind speed detection part with the standard pitot tube as the standard device and the wind ...
Failure analysis of a switching power supply
In present work, the failure analysis was conducted on a switching power supply using various methods including macroscopic morphology, circuit analysis, disassembly morphology, X-ray CT, microscopic morphology, and corrosion product analysis. The results ...
Successful Practice of Cultivating New Quality Productivity: Innovative Combination of Technical Parameters of SMT Equipment
The assembly process of Printed Wire Board (PWB) components is becoming increasingly intricate and multifaceted. Due to the constraints imposed by electronic component specifications and manufacturing cost considerations, the coexistence of through-hole ...
A multidirectional vibration energy harvester with a ball-bowl structure
Harvesting mechanical energy from low-frequency, multidirectional daily vibrations have been considered as an excellent candidate to replace the conventional batteries in many fields. In order to achieve effectively harvesting the energy in these ...
Design of automated testing system for electronic safety and disarming devices based on Labview
The electronic safety and arming device test system is developed to ensure the reliability of weapon systems. In view of the low test efficiency and high requirements for testers in manual testing during the current testing process, this paper proposes a ...
Defining the Height of Time-Span Trees in GTTM in terms of Prolongational Tree Generation
Music Information Processing has gained popularity in computer science, with the Generative Theory of Tonal Music (GTTM) used in various applications, such as music analysis and melody generation. However, the ambiguity of GTTM and the inconsistency of ...
A Fine-tuning Method for Automatic Chord Estimation Using the Foundation Model
In this paper, we examine a method for automatic chord estimation (ACE) using foundational models. We present a series of configurations for a system that estimates chord progressions by fine-tuning a foundation model with self-supervised learning, which ...
Microstructure and damping capacities of Mg-6Zn-1.5Cd-0.5Zr alloy
There are many factors affecting the damping properties of magnesium alloys. The damping capacities and microstructure of Mg-6Zn-1.5Cd-0.5Zr(abbr. MC) alloy were investigated on three different treatment states such as cast alloy, solid solution alloy and ...
Application of multi-input multi-output prediction model to reactor accident parameters prediction
In order to meet the requirement of multiple target parameters prediction under reactor accident, a multi-input multi-output prediction model based on recurrent neural network is proposed. Based on the data samples from protected transient overpower (PTOP)...
From Bytes to Booth: Exploring Privacy Concerns in Voting Advice Applications
In this study, we conduct a network traffic analysis of Finnish voting advice applications. We analyze the potential third-party data leaks in 8 voting advice applications first during the 2023 parliamentary election and then during the 2024 presidential ...
Influence of design parameters on mechanical characteristics of the lenstype space deployable boom with bi-directional bending deformation
The bi-directional bending deformation of the lens-type space deployable boom (LSDB), with high specific stiffness and high storage ratio, is prone to result in structural damage during folding and unfolding process. Mechanical analysis models of the LSDB ...
Subway station escalator data prediction based on MA-Transformer
The escalator system, which experiences data fluctuations during continuous daily operation, plays a vital role in subway stations. To accurately assess the health status of the escalator, it is crucial to predict its future condition. To mitigate the ...
Bidirectional Dual-Cell Recurrent Neural Networks for Traffic Flow Prediction
Traffic flow prediction is a key issue in urban traffic management, providing important support for urban planning and traffic diversion. In traffic flow prediction, LSTM (Long Short-Term Memory networks) and GRU (Gated Recurrent Units) capture temporal ...
Computational Science in Promoting High Sea Fishery Management in the Digital Era: Status, Challenges and Development Path
Digital transformation is the process of transforming the traditional practice-based fishery management system into that based on science and calculation. Among them, the use of data and algorithms to analyze and predict the data is the most influential ...
Index Terms
- Proceedings of the 8th International Conference on Computer Science and Application Engineering