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ChatGPT and Unified State Exam in Computer science 6

ChatGPT and Unified State Exam in Computer Science

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6th international Youth conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Popov, Vladislav S. Bauman Moscow State Technical University Informatics and Control Systems Moscow Russia

ISBN: (纸本)9798350382891

In this paper, it is presented the obtained and studied statistics of solving tasks of demo versions of the Unified State Exam (USE) in Computer science 2011-2023 using the GPT-3.5 language model and ChatGPT. the obtained results of the Unified State Examination in Computer science are presented, their analysis and the results of solving individual tasks are shown, examples of successful solutions of the Unified State Exam tasks in Computer science, limitations when working with ChatGPT are described. Based on the results of solving exam tasks, ChatGPT scored 47-57 test scores in 2011-2014 before the cancellation of the test part, and also slightly overcame the threshold score in 2015-2017, 2019, 2020, did not score the points necessary for passing the USE in Computer science in 2018, 2021-2023. Based on the obtained research data, a gradual complication of the USE exam model in Computer science is shown, in which the test part of the exam in 2015 is abandoned and the computer format of the exam is introduced in 2021. Using the example of the USE in Computer science, it is shown that ChatGPT, GPT-3.5 and similar language models can serve tool for expert assessment of the complexity of examination tasks and examination model. © 2024 IEEE.

关键词： Computational linguistics

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Adaptive Memory-Event-Triggered Encryption control for Networked control Systems Under Denial-of-Service Attacks 6

Adaptive Memory-Event-Triggered Encryption Control for Netwo...

引用

6th international conference on Electronic engineering and Informatics, EEI 2024

作者： Zhao, Maosen Liu, Xia School of Electrical Engineering and Electronic Information Xihua University Chengdu China

ISBN: (纸本)9798350353594

Due to the essence of openness, networked control systems (NCSs) are susceptible to malicious attacks, network congestion and data leakage, which brings significant control challenges. this paper investigates NCSs under denial-of-service attacks (DoS) and proposes an adaptive memory-event-triggered encryption control method. An adaptive memory-event-triggered mechanism (AMETM) is designed to reduce the loss of critical data and save network resources. Based on the AMETM, an encryption-decryption scheme is designed to guarantee data privacy. then an augmented switched system is constructed to characterize the impact of DoS attacks, AMETM and encryption-decryption scheme in a unified framework. the conditions for exponential stability of the system are obtained. Solutions to the observer gain, triggering parameters and controller gain are also given. the effectiveness of the proposed scheme is verified by a simulation. the results show that the scheme not only saves network resources and reduces the loss of critical data under DoS attacks, but also ensures data privacy and system stability. © 2024 IEEE.

关键词： Networked control systems

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A Float-Point Arithmetic Logic Unit for High Performance RISC-V Processor 6

A Float-Point Arithmetic Logic Unit for High Performance RIS...

引用

6th international conference on Frontier Technologies of Information and Computer, ICFTIC 2024

作者： Wei, Chunyuan Yuan, Chuan Qi, Yu Xu, Bangjian Niu, Xin College of Computer Science and Electronic Engineering Hunan University Changsha China College of Electrical and Information Engineering Hunan University Changsha China College of Computer National University of Defense Technology Science and Technology on Parallel and Distributed Laboratory Changsha China

ISBN: (纸本)9798331541750

With the rapid advancement of artificial intelligence, chips have become increasingly important. the emerging RISC-V instruction set gradually provides powerful computing support for this field. In this context, along with the computing requirements of deep learning, this paper presents the design of a high-performance floating-point arithmetic logic unit (FALU) that facilitates calculations with double-precision, single-precision, half-precision, and Bfloat16 precision data. this design is based on a single-channel algorithm with merged rounding. It improves and implements a composite adder that combines high and low bits. It also proposes a tree-like floating-point comparator based on the Kogge-Stone parallel prefix network. To ensure that the FALU components meet performance requirements, we undergo functional verification in the Vivado simulation environment. Operating at 1.47GHz under the 28nm CMOS process, the components achieve the predetermined performance indicators. © 2024 IEEE.

关键词： Computer circuits

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Identification of Medicinal Plants and Related Fungal Diseases based on Deep Learning Model 6

Identification of Medicinal Plants and Related Fungal Diseas...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Kani, Mathina M. Mahalakshmi, R. Shunmugavel, V. Kareem, Abdul M. Department of Computer Science and Engineering Sethu Institute of Technology Virudhunagar India Department of Electrical and Electronics Engineering Quantanics TechServ pvt Ltd Madurai India

ISBN: (纸本)9798331522667

In today’s technological landscape, manual methods are increasingly being replaced by automated computer systems, streamlining tasks and enhancing efficiency. Within the realm of agricultural research, two critical areas plant identification and disease classification have shifted toward computerized solutions. With millions of plant species globally, medicinal plants hold particular significance due to their healing properties in traditional medicine. these readily accessible and culturally important remedies not only contribute to affordable healthcare but also sustain livelihoods in indigenous and rural communities. To address these challenges, our study evaluates the performance of two widely used pre-trained deep learning models U-Net and F-Net. By comparing their accuracy levels, we aim to enhance disease detection. Additionally, we present performance metrics such as accuracy and error rates, visualized through graphs. Our user interface (UI) leverages Kivy, an open-source multiplatform GUI development library for Python. Kivy enables cross-device app development, emphasizing code reusability and rapid prototyping, making it a valuable tool for interaction design across iOS, Android, Windows, OS X, and GNU/Linux platforms. © 2025 IEEE.

关键词： Medicinal chemistry

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Multiload Dynamic Wireless Charging Design for Sorting Robots Based on Flat Disc Coil and LCC-S Topology 6

Multiload Dynamic Wireless Charging Design for Sorting Robot...

引用

6th international conference on Information science, electrical, and automation engineering, ISEAE 2024

作者： Feng, Qichang Wu, Xueying Lei, Ting Pan, Li Chen, Zhuo Li, Degang School of Electrical Engineering Chongqing University of Science and Technology Chongqing401331 China State Grid Chongqing Wanzhou Electric Power Supply Branch Chongqing404001 China Chongqing Liangjiang Collaborative Innovation Zone Construction Investment Development Co. Ltd. Chongqing401331 China Changan Automotive Software Technology Co. Ltd. Chongqing401331 China

ISBN: (纸本)9781510682924

this paper proposes a dynamic wireless charging system for contact-based logistics sorting robots aming to address issues such as insufficient endurance and low sorting efficiency. the system features a magnetic coupler consisting of a large coil embedded in the ground and coils mounted on the robot. the introduction of the LCC-S topology makes it suitable for applications with multiple load constant voltage (CV). A design methods to improve the misalignment performance and reduce the electromagnetic shielding is presented based on the coupler. Resonant network parameters are designed, and load independent CV output and zero phase angle (ZPA) operation are achieved simultaneously. Simulation results show that the proposed dynamic wireless charging system for robots can output a constant voltage at each working power pickup against the load variations. © 2024 SPIE.

关键词： Electromagnetic shielding

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Sustainable Solutions for Organ Donation and Procurement via Regional Collaboration System 6

Sustainable Solutions for Organ Donation and Procurement via...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Mily, Farzana Akter Arefin, Md Shamsul Department of Computer Science & Engineering Bangladesh University of Business and Technology Dhaka Bangladesh Department of Electrical & Electronic Engineering Bangladesh University of Business and Technology Dhaka Bangladesh

ISBN: (纸本)9798331522667

the severe shortage of organs requires the efficient management and collaboration of practices. therefore, this paper introduces the Regional Collaboration System (RCS) to deal with this critical issue. the system aims at enhancing organ donation and procurement with the perspective of coordination of regional healthcare organizations. the primary purpose is to assist patients in finding suitable hospitals, donors, and doctors, in their region to carry out a seamless transplantation process. this system has been developed using Visual Studio 2022, SQL Server 2019 Express, and C# for a robust and scalable solution. Key features include an administrative panel, advanced search options, and the user interface to make it easy for administrators, patients, donors, and doctors to use. Moreover, the system also provides a medical history management platform that enables the patients to maintain a record of their history for future use via the administrative panel. this comprehensive approach is designed to improve transplant outcomes, minimize waiting times, and enhance organ availability. By effectively addressing the crisis in organ shortages, RCS holds a great potential to bring revolutionary changes in the existing structure of organ donation and transplantation, thereby saving more lives and hence fostering equality in access to health resources. © 2025 IEEE.

关键词： Records management

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Plume Finding with Frontier-Based Planner 6

Plume Finding with Frontier-Based Planner

引用

6th international conference on Industrial Artificial Intelligence, IAI 2024

作者： Zhang, Xin-Kai Li, Ji-Gong Yang, Jing School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin Tianjin China School of Information Technology Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9798350356618

Toxic/hazardous gas leaks seriously jeopardize public safety and the ecological environment, and how to utilize drones with on-board gas sensors to quickly detect gas plumes at an early stage of a gas leak and take timely measures can effectively prevent the expansion of the accident. Traditional plume finding methods have the disadvantages of poor targeting, long search times, and repeated exploration in some areas. In view of this, this paper proposes a method of plume finding with frontier-based planner, where a heuristic function is designed to select optimal observation points and thus plan path to search plume. Here an air-mass path model is constructed to estimate the region that would likely be observed by the UAV at a candidate observation site on the frontier, and the area of the unknown part in the region is considered as the environmental exploration gain. the change in flight direction and the distance traveled by the UAV are used as environmental exploration costs when it will fly from its current pose to the candidate observation site. Simulation results show that the proposed frontier-based exploration method for plume finding has good performance in odor source localization tasks in outdoor environments. © 2024 IEEE.

关键词： Direct air capture

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Neutron/Gamma Discrimination Study Based on Non-Negative Matrix Factorization and Support Vector Machine 6

Neutron/Gamma Discrimination Study Based on Non-Negative Mat...

引用

6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： Mingquan, Xian Zhaofei, Tian Harbin Engineering University Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin China

ISBN: (纸本)9798350305623

this study addresses the limitations and inefficiencies inherent in traditional discrimination models by introducing an innovative neutron-gamma discrimination model that integrates Non-Negative Matrix Factorization (NMF) with Support Vector Machine (SVM). the proposed NMF-SVM model adeptly extracts global features from the gathered data and rigorously learns from the feature matrix, thereby facilitating precise neutron-gamma discrimination within mixed radiation fields. A comprehensive comparative analysis, juxtaposing the NMF-SVM model with existing methods such as the Charge Comparison Method, the Fractal Spectrum Method, and the Back Propagation Neural Network Discrimination Model, is conducted to ascertain its accuracy and robustness in discrimination. the findings reveal that the NMF-SVM model offers substantial improvements over conventional models, particularly in terms of discrimination speed and accuracy, thereby underscoring its potential for widespread application in radiation detection and measurement. © 2023 IEEE.

关键词： Neutron-Gamma Discrimination Non-Negative Matrix Factorization Pulse Shape Discrimination Support Vector Machine

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A High-Speed Data Acquisition and control System Based on LabVIEW for Long-Pulse Experiments 6

A High-Speed Data Acquisition and Control System Based on La...

引用

6th international conference on Communications, Information System and Computer engineering, CISCE 2024

作者： Zhang, Xiaodan Yang, Sheng Fan, Mengqi Li, Yucheng School of Computer Technology and Applications Qinghai University Xining China Intelligent Computing and Application Laboratory of Qinghai Province Xining China

ISBN: (纸本)9798350353174

It is well known that energy has become one of the essential factors for the development of human civilization. As a new type of energy source, fusion energy is considered to be the most promising and effective way to solve future energy problems. With the continuous research in this field, the current types of pulse experiments have gradually developed into long-pulse experiment operation mode. this paper designs a data acquisition and control system (DACS) in order to meet the requirements of high-speed data acquisition and efficient storage in the context of long-pulse experiments. this system designs a new data transmission and storage management mode to enable the interaction between LabVIEW and MDSplus, making it suitable for multi-channel high-speed data acquisition experiments in long-pulse mode. Besides, DACS uses MDSip and HTTP network communication protocols to transmit control signals and experimental data. As for human-machine interaction, it adopts a combination of local and remote interactions to satisfy the requirements of different situations. It also devises a suitable algorithm to solve the concurrent processing problem of double platforms. the design of this system can accomplish the tasks of monitoring and control as well as real-time processing and storage of experimental data in long-pulse experiments, improving the overall level of automation of the system. © 2024 IEEE.

关键词： HTTP

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A Hybrid Approach for Cardiovascular Disease Risk Evaluation 6

A Hybrid Approach for Cardiovascular Disease Risk Evaluation

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Sesadri, U. Jumlesha, Shaik Raju, S. Hrushikesava Adinarayna, S. Choudhury, Nabanita Jadala, Vijaya Chandra Department of CSE Vardhaman College of Engineering Telangana Hyderabad India AP Tirupati517501 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Green Fields Vaddeswaram Guntur522502 India Department of Computer Science and Systems Engineering College of Engineering Andhra University Visakhapatnam531162 India Faculty of Computer Technology Assam down town University Assam Guwahati India School of Computer Science and Artificial Intelligence SR University Ananthasagar Hasanparthy Hanumakonda Telangana Warangal506371 India

ISBN: (纸本)9798331522667

Nowadays, the risk estimators are to be applied based on the population characteristics of their country, which is termed as race attribute. there were specific tools to determine the risk of cardiovascular disease. Among many diseases, the mortality rate of the people is increasing due to a lack of quality lifestyle. In order to provide a guide to the individual based on their specific characteristics and lifestyle, would classify the risk into specific categories like severe (High), Moderate, and normal(Low) with pre-defined threshold constraints. the risk assessment estimators alert the individual to control certain modifiable attributes irrespective of their non-modifiable elements. the integration of random forests and intelligent rule mining would generate the CVD risk prediction. Efficiency as well as interpretability are important in this competitive hybrid model. the ultimate benefits assured are extending the lives of the patients by knowing the importance of daily work, habits, and their control food, presenting a powerful opportunity by practicing better personalization monitoring and improved patient care, and improved informed decisions for immediate action. the early prevention initiation by identifying the risk severity optimizes follow-up of better practices and treatment styles, resulting in improved decision making for better health care of the individual. © 2025 IEEE.

关键词： Accuracy Cardio-vascular disease Efficiency Hybridization Modifiable attributes Prediction Risk estimator

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