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13th International Conference on Information Technology in Medicine and Education, ITME 2023

作者： Fan, Yibiao Liu, Chenglian Yang, Yuxia Fang, Jie Software Engineering Institute of Guangzhou Department of Networking Technology Guangzhou510990 China School of Big Data and Artificial Intelligence Fujian Polytechnic Normal University Fuqing250300 China

ISBN: (纸本)9798350319156

DNA cryptography has been developed for nearly thirty years, and there is a lot of research on DNA based encryption and decryption. In 2018, Thangavel and Varlakshmi proposed an article 'Enhanced DNA and ElGamal cryptosystem for secure data storage and retrieval in cloud', they provide two cryptosystem schemes DNA and ElGamal. In this paper the authors would like to analyze security to DNA scheme, this is our research goal. We also prove it may occur insecure when the XOR operation using in special environment. The mathematical Proof and experimental evidence be demonstrated in this article, this is our method. The results point out it is not secure to Thangavel and Varlakshmi's DNA protocol. © 2023 IEEE.

关键词： DNA

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Prediction of global mean temperature based on SARIMA combined model 4

Prediction of global mean temperature based on SARIMA combin...

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4rth International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2024

作者： Li, Dongliang Chu, Chengxu Gao, Huihui Yang, Chenming Liu, Xin Huang, Zhenwu School of Humanities and Law Southwest Forestry University Kunming650224 China School of Mechanical Engineering and Automation Dalian Polytechnic University Dalian116034 China Data Science and Intelligent Media School Communication University of China Beijing100024 China School of Computer and Software Engineering Xihua University Chengdu610039 China

ISBN: (纸本)9781510681637

With the continuous development of human society, the global warming caused by greenhouse gas emissions is becoming more and more serious. In order to better cope with global warming, this paper uses the SARIMA model to predict global temperature. Then, SARIMA (1,1,1) (1,1,1) model is established to forecast the temperature. It is found that the temperature in 2050 and 2100 will not reach 20℃, and the global average temperature is expected to reach 20℃ in about 2180. Through model evaluation, it is found that the R-square of SARIMA model is 0.87. © 2024 SPIE.

关键词： Global warming

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Chinese Speech Emotion Recognition Based on Pre-Trained Model 5

Chinese Speech Emotion Recognition Based on Pre-Trained Mode...

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5th International Conference on Big Data and Artificial Intelligence and software engineering, ICBASE 2024

作者： Xu, Sukui Jiang, Nan Lian, Shun Pan, Jingmin Anhui Institute of Information Technology College of Computer and Software Engineering Wuhu China Fujian Polytechnic of Information Technology School of General Education Fuzhou China Anhui University School of Computer Science and Technology Hefei China

ISBN: (纸本)9798331506612

This paper proposes a method based on large-scale speech pre-trained models for the task of Chinese speech emotion recognition. Similar to the transfer learning approach in image classification task, speech pre-trained model is used as a fixed feature extractor to extract features from speech data, followed by a fully connected network for classification. Experimental results show that, on the seven-class speech emotion recognition task of the Chinese M3ED dataset, the proposed method achieves classification accuracies of 0.506 and 0.560 using base and large sized pre-trained models respectively, surpassing the baseline accuracy of 0.454 for the ECAPA-TDNN model. © 2024 IEEE.

关键词： Transfer learning

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Big Data Analysis of Cryptocurrency Exchange Rate Changes Dynamics 18

Big Data Analysis of Cryptocurrency Exchange Rate Changes Dy...

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18th IEEE International Conference on Computer Science and Information Technologies, CSIT 2023

作者： Bublyk, Myroslava Vysotska, Victoria Varenina, Kateryna Bezkorovainyi, Oleksandr Schuchmann, Vadim Shevchenko, Maryna Lviv Polytechnic National University Management and International Business Department Lviv Ukraine Lviv Polytechnic National University Lviv Ukraine Osnabrück University Osnabrück Germany Lviv Polytechnic National University Information Systems and Networks Department Lviv Ukraine West Ukrainian National University Software Engineering Department Ternopil Ukraine National Technical University Kharkiv Polytechnic Institute Department of Accounting and Finance Kharkiv Ukraine

ISBN: (纸本)9798350360462

The article analyzes the dynamics of changes in the exchange rate of cryptocurrencies such as DogeCoin, Bitcoin, BinanceCoin and AaveCoin in recent years (before COVID-19, during the pandemic and the war in Ukraine). At the same time, in the first quarter of 2020, the spread of the COVID-19 pandemic and the related active campaign of the National Bank and banks to support online operations and services was an additional factor contributing to the population's rejection of cash. The war, among other things, encouraged more people in Ukraine to believe in cryptocurrency. © 2023 IEEE.

关键词： Big data

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Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning 30

Soft-Prompting with Graph-of-Thought for Multi-modal Represe...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Yang, Juncheng Li, Zuchao Xie, Shuai Yu, Wei Li, Shijun Du, Bo School of Computer Science Wuhan University Hubei Wuhan China National Engineering Research Center for Multimedia Software Hubei Wuhan China School of Electronic Information Engineering Henan Polytechnic Institute Henan Nanyang China JD Explore Academy Beijing China

ISBN: (纸本)9782493814104

The chain-of-thought technique has been received well in multi-modal tasks. It is a step-by-step linear reasoning process that adjusts the length of the chain to improve the performance of generated prompts. However, human thought processes are predominantly non-linear, as they encompass multiple aspects simultaneously and employ dynamic adjustment and updating mechanisms. Therefore, we propose a novel Aggregation-Graph-of-Thought (AGoT) mechanism for soft-prompt tuning in multi-modal representation learning. The proposed AGoT models the human thought process not only as a chain but also models each step as a reasoning aggregation graph to cope with the overlooked multiple aspects of thinking in single-step reasoning. This turns the entire reasoning process into prompt aggregation and prompt flow operations. Experiments show that our multi-modal model enhanced with AGoT soft-prompting achieves good results in several tasks such as text-image retrieval, visual question answering, and image recognition. In addition, we demonstrate that it has good domain generalization performance due to better reasoning. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Image enhancement

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Ppt4j: Patch Presence Test for Java Binaries 24

Ppt4j: Patch Presence Test for Java Binaries

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44th ACM/IEEE International Conference on software engineering, ICSE 2024

作者： Pan, Zhiyuan Hu, Xing Xia, Xin Zhan, Xian Lo, David Yang, Xiaohu Zhejiang University The State Key Laboratory of Blockchain and Data Security Hangzhou China Huawei Software Engineering Application Technology Lab Hangzhou China The Hong Kong Polytechnic University Hong Kong School of Computing and Information Systems Singapore Management University Singapore

ISBN: (纸本)9798400702174

The number of vulnerabilities reported in open source software has increased substantially in recent years. Security patches provide the necessary measures to protect software from attacks and vulnerabilities. In practice, it is difficult to identify whether patches have been integrated into software, especially if we only have binary files. Therefore, the ability to test whether a patch is applied to the target binary, a.k.a. patch presence test, is crucial for practitioners. However, it is challenging to obtain accurate semantic information from patches, which could lead to incorrect results. In this paper, we propose a new patch presence test framework named Ppt4j (Patch Presence Test forJava Binaries). Ppt4j is designed for open-source Java libraries. It takes Java binaries (i.e. bytecode files) as input, extracts semantic information from patches, and uses feature-based techniques to identify patch lines in the binaries. To evaluate the effectiveness of our proposed approach Ppt4j, we construct a dataset with binaries that include 110 vulnerabilities. The results show that Ppt4j achieves an F1 score of 98.5% with reasonable efficiency, improving the baseline by 14.2%. Furthermore, we conduct an in-the-wild evaluation of Ppt4j on JetBrains IntelliJ IDEA. The results suggest that a third-party library included in the software is not patched for two CVEs, and we have reported this potential security problem to the vendor. © 2024 ACM.

关键词： Open source software

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Electron- Phonon Interaction in Open GaAs/AIAs Nanosystems: A New Method 42

Electron- Phonon Interaction in Open GaAs/AIAs Nanosystems: ...

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42nd IEEE International Conference on Electronics and Nanotechnology, ELNANO 2024

作者： Boyko, Igor Seti, Julia Tkach, Mykola Ternopil Ivan Puluj National Technical University Department of Software Engineering Ternopil Ukraine Yuriy Fedkovych Chernivtsi National University Department of Information Technology and Computer Physics Chernivtsy Ukraine Lviv Polytechnic National University Department of Applied Mathematics Lviv Ukraine

ISBN: (纸本)9798350368178

A new theoretical method for describing electron-phonon interaction in open nanosystems created on the basis of gallium arsenide and aluminium arsenide alloys in the presence of a time-dependent electromagnetic field is proposed. The results obtained on the basis of the developed method are compared with the results obtained on the basis of the classical model of closed nanosystems. The conditions and configurations of the nanosystems under study for which the results of both methods coincide have been established by the direct calculations. © 2024 IEEE.

关键词： Gallium arsenide

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Home Automation-Based Health Assessment Along Gesture Recognition via Inertial Sensors

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Computers, Materials & Continua 2023年第4期75卷 2331-2346页

作者： Hammad Rustam Muhammad Muneeb Suliman A.Alsuhibany Yazeed Yasin Ghadi Tamara Al Shloul Ahmad Jalal Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science and Software Engineering Al Ain UniversityAl Ain15551UAE Department of Humanities and Social Science Al Ain UniversityAl Ain15551UAE Department of Computer Engineering Korea Polytechnic University237 Sangidaehak-ro Siheung-siGyeonggi-do15073Korea

Hand gesture recognition (HGR) is used in a numerous applications,including medical health-care, industrial purpose and sports *** have developed a real-time hand gesture recognition system using inertialsensors for the smart home application. Developing such a model facilitatesthe medical health field (elders or disabled ones). Home automation has alsobeen proven to be a tremendous benefit for the elderly and disabled. Residentsare admitted to smart homes for comfort, luxury, improved quality of life,and protection against intrusion and burglars. This paper proposes a novelsystem that uses principal component analysis, linear discrimination analysisfeature extraction, and random forest as a classifier to *** have achieved an accuracy of 94% over the publicly benchmarked HGRdataset. The proposed system can be used to detect hand gestures in thehealthcare industry as well as in the industrial and educational sectors.

关键词： Genetic algorithm human locomotion activity recognition human–computer interaction human gestures recognition principal hand gestures recognition inertial sensors principal component analysis linear discriminant analysis stochastic neighbor embedding

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Reinforcement Learning for Testing Android Applications: A Review 2

Reinforcement Learning for Testing Android Applications: A R...

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2nd International Conference on Multidisciplinary engineering and Applied Science, ICMEAS 2023

作者： Usman, Asmau Boukar, Moussa Mahamat Suleiman, Muhammed Aliyu Salihu, Ibrahim Anka Eke, Ndukwe-Oke Abdu Gusau Polytechnic Department of Computer Science Talata Mafara Nigeria Nile University of Nigeria Department of Computer Science Abuja Nigeria Nile University of Nigeria Department of Software Engineering Abuja Nigeria

ISBN: (纸本)9798350358834

This paper offers a review of current research studies that use reinforcement learning (RL) to test Android applications. The primary purpose of this study is to simplify future research by collecting and investigating the current state of Android app testing approaches using the RL technique. We provide a well-defined criterion comprising of seven key points. The key points are: Addressed problems, reasons for using the RL technique, RL algorithms, supported events, testing techniques, validation, and evaluation methods. In the literature, we have analyzed various techniques to evaluate their efficiency. This study showed that model-based testing is the most commonly used testing technique. Q-learning is the best algorithm in terms of predictive accuracy. We identified that code coverage is the most widely used evaluation metric and comparison with other tools and techniques is the preferred validation approach. © 2023 IEEE.

关键词： Reinforcement learning

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Content Monitoring and Big Data Analysis of Smart City Residents Appeals and Complaints Management 18

Content Monitoring and Big Data Analysis of Smart City Resid...

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18th IEEE International Conference on Computer Science and Information Technologies, CSIT 2023

作者： Berko, Andrii Chyrun, Lyubomyr Ohonovsky, Yulian Chyrun, Sofia Schuchmann, Vadim Matseliukh, Yurii Lviv Polytechnic National University Information Systems and Networks Department Lviv Ukraine Ivan Franko National University of Lviv Applied Mathematics Department Lviv Ukraine Lviv Polytechnic National University Telecommunication Department Lviv Ukraine West Ukrainian National University Software Engineering Department Ternopil Ukraine

ISBN: (纸本)9798350360462

This work describes the process of creating an information system for monitoring and content analysis of appeals and complaints of residents of Smart City based on NLP and geolocation methods. An analytical review of literary sources was carried out, which describes the main principles of the research, an analysis of known means of solving the problem was carried out, and the functionality of the software was described. system, the structure of the decision-making process. System analysis for our topic has been carried out. The method of analysis of hierarchies was also carried out, which helped to determine the type of this system, it is informational and analytical since this type received the largest coefficient 0.49. Means for solving the tasks of the information system are described and the reasons for their choice are substantiated. An analysis of the capabilities of Google Maps and the use of software tools for development, namely MS SQL, was carried out. The implementation of the system is carried out and the analysis of the control example of work is described. All system functionality is considered here. The information storage system in the system is described. © 2023 IEEE.

关键词： Big data

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