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8th international conference on computer science and application engineering, csae 2024

8th International Conference on Computer Science and Applica...

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8th international conference on computer science and application engineering, csae 2024

ISBN: (纸本)9798400718090

the proceedings contain 26 papers. the topics discussed include: building extraction from high-resolution remote sensing image based on improved ResUNet network;a visual based algorithm for measuring the speed of scrap metal vibration feeding;semantic segmentation for virtual-real fusion data processing in nonferrous metal process industry;an evaluation method based on fuzzy model for the autonomous and controllable of the spacecraft component production;discrete-time physics-informed neural networks for two-phase flow interface capturing;comprehensive review: advancing cognitive computing through theory of mind integration and deep learning in artificial intelligence;and kinematics behaviors evaluation of a naval ship survival training simulation system in case of longitudinal shaking.

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8th international conference on Applied Cognitive Computing, ACC 2024, and 26th international conference on Artificial Intelligence, ICAI 2024, held as part of the World Congress in computer science, computer engineering and Applied Computing, CSCE 2024

8th International Conference on Applied Cognitive Computing,...

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8th international conference on Applied Cognitive Computing, ACC 2024, and 26th international conference on Artificial Intelligence, ICAI 2024, held as part of the World Congress in computer science, computer engineering and Applied Computing, CSCE 2024

ISBN: (纸本)9783031856273

the proceedings contain 37 papers. the special focus in this conference is on Applied Cognitive Computing. the topics include: Assessing Information Influence for Node Attribute Prediction;in-Vehicle Sensing Platform for the Inference of Older Drivers’ Mild Cognitive Condition;infusing Human Feedback into Intermediate Prompting Steps of Large Language Models;experimental Analysis of Contemporary Trends, Performance, and Limitations in Graph Embeddings: A Concise Review;a Secure Self-Adaptive System in applications of Cognitive Computing;revisiting the Nexus Between Handwriting and Personality: Graphology;from Static Graph Attention Generation to Dynamic Graph Attention Coefficient;An Integrated Approach for AI-Assisted Survey Systems Using Deterministic and Nondeterministic Models;a Voxel-Representation-Based Data Generator of Adversarial Objects for Robotic Manipulators;an Analysis of Different Information Granularity Distribution Protocols to Improve Consistency in Intuitionistic Reciprocal Preference Relations;enhancing Differential Evolution for Neural Network Optimization through Boundary Individual Consideration;predictive Modeling of Shading Effects on Photovoltaic Panels Using Regression Analysis;enhancing Cultural Algorithm Guided Policy Gradients with Parameter-Based Exploration through Topographic Knowledge and Adaptive Weighting;Enhancing Clinical Documentation through NLP-Driven Disease Categorization and Visualization: A Case Study Utilizing the Llama2 AI Model;automatic Modulation Recognition: A Hybrid Approach Using Deep Learning and K-Means Clustering;An ISR Asset Planning application;causal Discovery with Interactive Human Inputs;implementation of a Lightweight Gradient Descent Trained Expert System Algorithm;Leveraging JSBSim and Gymnasium: A Reinforcement Learning Approach for Air Combat Simulation;orthogonal Activation Functions in Neural Networks: Utilizing Chebyshev, Legendre, and Hermite Polynomials;XAI-Based Assessment of Software Vulnerabil

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Optimization of Agent Patrol Algorithm for Patrolling Set of Points with Different Frequency 24

Optimization of Agent Patrol Algorithm for Patrolling Set of...

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8th international conference on computer science and application engineering, csae 2024

作者： Chen, Zhifei Department of Computer Science University College London London United Kingdom

ISBN: (纸本)9798400718090

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 greedy algorithm with optimal characteristics. It can perform patrolling tasks according to the checkpoints number and the visit frequency provided by the user. One-dimensional and two-dimensional scheduling algorithms are designed for patrolling checkpoints in linear and planar distributions respectively. To assess the effectiveness of the optimized algorithms, a comparison test with traditional pinwheel algorithm is conducted, which shows that the time complexity of the combined algorithm is reduced from O(n2) to O(log n), significantly improving the patrolling efficiency. In real-world test, the combined algorithm reduces the running time by about 25%, while the peak memory usage is reduced by nearly 17%, proving that the algorithm has better stability and scalability in resource-constrained systems. © 2024 Copyright held by the owner/author(s).

关键词： Scheduling algorithms

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Defining the Height of Time-Span Trees in GTTM through Prolongational Reduction Tree Generation 8

Defining the Height of Time-Span Trees in GTTM through Prolo...

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8th international conference on computer science and application engineering, csae 2024

作者： Horiguchi, Fuka Mizutani, Tetsuya College of Information Science University of Tsukuba Ibaraki Tsukuba Japan Department of Information Engineering University of Tsukuba Ibaraki Tsukuba Japan

ISBN: (纸本)9798400718090

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 its rules make its computerized implementation difficult. this paper addresses a specific ambiguity related to the height of the time-span tree, a key component of GTTM. We propose three methods for defining this height and evaluate their effectiveness in generating prolongational trees, another output of GTTM. Our experiments demonstrate that one of the proposed methods is somewhat useful. We conclude that overall stability rather than local stability conditions is crucial for generating a prolongational tree. the proposed method advances the automatic application of GTTM, especially in generating prolongational trees, and ultimately contributes to the further development of research based on GTTM. © 2024 Copyright held by the owner/author(s).

关键词： Trees (mathematics)

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Computational science in Promoting High Sea Fishery Management in the Digital Era: Status, Challenges and Development Path 24

Computational Science in Promoting High Sea Fishery Manageme...

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8th international conference on computer science and application engineering, csae 2024

作者： Qu, Yanan Xue, Ying School of Marine Law and Humanities Dalian Ocean University Dalian China

ISBN: (纸本)9798400718090

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 technology. this paper first studies the necessity of the digital transformation of the high sea fishery governance, and analyzes the application of computational science in the high sea fishery governance by analyzing the challenges faced by computational science in the high sea fishery governance. On this basis, this paper proposes that the international community should accelerate the deep integration of computing science and fishery governance in the high seas, and take data as an important engine to promote the collection and analysis of global Marine environment information, so as to realize the sustainable utilization of fishery resources in the high seas. © 2024 Copyright held by the owner/author(s).

关键词： Fisheries

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An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production 24

An Evaluation Method based on Fuzzy Model for the Autonomous...

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8th international conference on computer science and application engineering, csae 2024

作者： Hongxing, Hao Ronghuan, Yu Jing, Guo Huaquan, Hu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Huairou Beijing China

ISBN: (纸本)9798400718090

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 controllable of the spacecraft component production. this paper model the evaluation method including the construction of the evaluation index system and the estimation method. the proposed estimation method is based on the fuzzy model to synthesize the qualitative, quantitative indicators and the according weights. Compared to mapping the qualitative value to a fixed number, the proposed method avoids the effect of the subjectivity. the experimental results show that the proposed method tend to think highly of the quantitative values when the qualitative values are not very too much so as to avoid the effect of the subjectivity for the qualitative indicators in the evaluation. © 2024 Copyright held by the owner/author(s).

关键词： Aerospace industry

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application of multi-input multi-output prediction model to reactor accident parameters prediction 24

Application of multi-input multi-output prediction model to ...

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8th international conference on computer science and application engineering, csae 2024

作者： Chen, Zhifei Duan, Wenshun Department of Computer Science University College London London United Kingdom School of Nuclear Science and Technology University of Science and Technology of China Anhui Hefei China

ISBN: (纸本)9798400718090

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) accidents of lead-bismuth fast reactor NCLFR-Oil, the mass flow rate, core outlet temperature and maximum temperature of cladding were predicted by multi-input multi-output model coupled multivariable optimization algorithm. the prediction effects of gated recurrent unit (GRU) and long short-term memory (LSTM) on different variables are compared and analyzed from the aspects of prediction accuracy and prediction time. the results show that the prediction effect of the model is acceptable under multi-target conditions, in which the MAPE of the core outlet temperature is up to 0.162%, and the RMSE is up to 0.798℃. What’s more, GRU can predict the core outlet temperature and the maximum temperature of the cladding better, while LSTM can predict the mass flow rate more accurately. the multi-input multi-output parameter prediction model in this paper has more practical significance for engineering application. © 2024 Copyright held by the owner/author(s).

关键词： Prediction models

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Design of automated testing system for electronic safety and disarming devices based on Labview 24

Design of automated testing system for electronic safety and...

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8th international conference on computer science and application engineering, csae 2024

作者： Yan, Rong Huang, Qiangqiang Wu, Yunlong Yan, Xuan Zhu, Yanan Zhang, Ziqiang Sixth Factory Beijing Xinfeng Aerospace Equipment Co. Ltd. Beijing China School of computer science and technology Southwest University of Science and Technology Mianyang China

ISBN: (纸本)9798400718090

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 Labview producer/consumer model that uses PXI bus technology to control multiple instruction parameters to achieve automated electrical performance function testing of the product to be tested. the basic functions of the automated test system, the overall system architecture, circuit principle design, software design and test process are described. the system aims to improve the test efficiency and accuracy of electronic safety and arming devices, reduce human errors through automated test processes, and provide detailed data analysis and reporting functions. the test verification results show that the test system hardware design can well meet the test requirements, the software mode is easy to use, the functions are complete, and it has good results in practical applications. © 2024 Copyright held by the owner/author(s).

关键词： Software testing

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Failure analysis of a switching power supply 24

Failure analysis of a switching power supply

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8th international conference on computer science and application engineering, csae 2024

作者： Honglun, Wang Wenan, Zhong Dongjiu, Zhang Shaojiang, Chen Hong, Luo Key Laboratory of Reliability Technology Xichang Saterllite Lanunch Center Haikou China Institute of New Materials Technology University of Science and Technology Beijing China

ISBN: (纸本)9798400718090

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 indicated that the MOS tube was the location of the failure in the switching power supply. Additionally, the surface solder of the exposed leads was found to have corroded to some extent due to the influence of corrosion media. Combined with the working principle of enhanced NMOS pipe, the cause of the failure is the switching power supply under the high power board device temperature rise, plus the service environment humidity, the pin corrosion, the pin and the packaging interface sealing performance is reduced, the water molecules in the air into the packaging device, and there is a large electric field inside the MOS tube during the working process. the internal metal of the device was affected by comprehensive factors such as temperature, humidity, chlorine ions, and electric field distribution, leading to electrochemical migration and subsequent breakdown between G and D terminals. © 2024 Copyright held by the owner/author(s).

关键词： Corrosion

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Comprehensive Review: Advancing Cognitive Computingthrough theory of Mind Integration and Deep Learning in Artificial Intelligence 24

Comprehensive Review: Advancing Cognitive Computingthrough T...

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8th international conference on computer science and application engineering, csae 2024

作者： Liu, Shuyan Wang, Kangsheng School of Information Science and Engineering Yunnan University Yunnan Kunming China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798400718090

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 understanding cognitive functions is vital for AI progress. three principal modeling strategies are examined: cognitive mind modeling, assignation mind modeling, and intelligent body mind modeling. In the article, he explores a few theories, such as symbol systems and the ACT-R framework. It further argues that learning seems limited in encoding models of the mind, citing its successes in language-oriented tasks and its limitations in translating basic mechanisms like reward to model-level language and data from neuroscience. Additionally, it investigates ways of assessing and enhancing learning theory of mind abilities based on tasks that utilize end-to-end function. the review reiterates the need for an improved understanding of human-level thought processing to develop intelligent systems that can better discern intentions and feelings. It provides some ideas on evaluating this based on deep learning approaches. the review argues that viewing learning through the lens of systems yields new insights into human thought and social behavior that could enable the development of novel and more adaptive AI technologies. © 2024 Copyright held by the owner/author(s).

关键词： Contrastive Learning

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