OPEN PLATFORM AS A TECHNOLOGICAL BASIS FOR THE DEVELOPMENT OF SBERBANK by A. Berdyshev

“…The features of the current strategy for transforming the business model of Sberbank, based on the creation of a financial and technological open platform, that ensures interaction with the financial market and other market sectors have identified. …”
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Software-defined protocol independent parser based on FPGA by Lixin MIAO, Qinrang LIU, Xin WANG

“…With the boom of information technology,heterogeneous networks with various functions emerge in endlessly,heterogeneous fusion network has become the inevitable trend of the development of the next generation network.To realize communication between heterogeneous networks,network forwarding equipment is essential.Traditional forwarding devices only support fixed protocol configuration and lack scalability,so they cannot support new network protocols.In view of this situation,a software defined protocol independent parser based on FPGA was proposed.The software defined the parsing process,giving the parser flexible and programmable features.It can analyze multiple protocol packets and extract key information needed for protocol conversion without changing hardware devices.The parser through a high-performance FPGA platform were implemented and hardware resource overhead and performance were evaluated.Experimental results show that it can complete the fast parsing of various heterogeneous network protocols and obtain complete analytical data.…”
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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

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Vehicle Detection and Tracking Based on Improved YOLOv8 by Yunxiang Liu, Shujun Shen

“…Therefore, we propose a novel method based on YOLOv8n. Firstly we introduced SCC_Detect based on SCConv on the detection head to reduce the computation of redundant features. …”
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Decentralized credit system based on blockchain and its application by Mingsheng WANG, Heyang CAO, Peiyao LI

“…A decentralized credit system was proposed and its construction application was given.Decentralized credit system could be constructed by expanding the transaction structure of “digital currency commodity” based on block chain,expanding the function of consensus protocol and adding specific accounts.Also,the decentralized credit system was applied to the PKI enhancement and supervision system IKP so that IKP system did not need global fund in operation.Moreover,by introducing the hierarchical “virtual currency commodity” supply adjustment mechanism in the decentralized credit system to alleviate the difficulty of regulating the “virtual currency commodity” supply of “digital currency commodity” based on block chain,the precise “virtual currency commodity” supply regulation can be achieved.…”
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Research on multi-granularity password analysis based on LLM by Meng HONG, Weidong QIU, Yangde WANG

“…Password-based authentication has been widely used as the primary authentication mechanism.However, occasional large-scale password leaks have highlighted the vulnerability of passwords to risks such as guessing or theft.In recent years, research on password analysis using natural language processing techniques has progressed, treating passwords as a special form of natural language.Nevertheless, limited studies have investigated the impact of password text segmentation granularity on the effectiveness of password analysis with large language models.A multi-granularity password-analyzing framework was proposed based on a large language model, which follows the pre-training paradigm and autonomously learns prior knowledge of password distribution from large unlabelled datasets.The framework comprised three modules: the synchronization network, backbone network, and tail network.The synchronization network module implemented char-level, template-level, and chunk-level password segmentation, extracting knowledge on character distribution, structure, word chunk composition, and other password features.The backbone network module constructed a generic password model to learn the rules governing password composition.The tail network module generated candidate passwords for guessing and analyzing target databases.Experimental evaluations were conducted on eight password databases including Tianya and Twitter, analyzing and summarizing the effectiveness of the proposed framework under different language environments and word segmentation granularities.The results indicate that in Chinese user scenarios, the performance of the password-analyzing framework based on char-level and chunk-level segmentation is comparable, and significantly superior to the framework based on template-level segmentation.In English user scenarios, the framework based on chunk-level segmentation demonstrates the best password-analyzing performance.…”
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Short signature based on factoring problem in the standard model by WANG Zhi-wei1, ZHANG Wei1

“…A short signature scheme based on factoring problem in the standard model was proposed.To design this sig-nature scheme,the generic construction of fully-secure signatures from weakly-secure signatures and a chameleon hash were employed.A signature in this scheme was compromised of one element in,and the public key was short,requir-ing only the modulus N,one element of,one integer and one pseudorandom function seed.Compared with Hohen-berger’s RSA scheme（Crypto 09）,the computaional cost of the sign algorithm and verification algorithm in this scheme is also much lower.…”
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Resource management model based on cloud computing environment by Ahyoung Kim, Junwoo Lee, Mucheol Kim

“…The proposed model regularly stores the usage data for computing resources based on Hadoop and HBase. …”
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Progress and prospect of flexible MXene‐based energy storage by Hongxin Yuan, Jianxin Hua, Wei Wei, Miao Zhang, Yue Hao, Jingjing Chang

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Image Recognition and Simulation Based on Distributed Artificial Intelligence by Tao Fan

“…This paper studies the traditional target classification and recognition algorithm based on Histogram of Oriented Gradients (HOG) feature extraction and Support Vector Machine (SVM) classification and applies this algorithm to distributed artificial intelligence image recognition. …”
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Waveguide-Based Antenna Arrays for 5G Networks by Arismar Cerqueira Sodré, Igor Feliciano da Costa, Renan Alves dos Santos, Hugo Rodrigues Dias Filgueiras, Danilo Henrique Spadoti

“…This work reports the development of two high-performance waveguide-based antenna arrays for 5G cellular networks, operating in the underutilized millimetre wave (mm-wave) frequency spectrum. …”
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Tissue engineering and biosensing applications of carbon-based nanomaterials by Seydanur Yücer, Begüm Sarac, Fatih Ciftci

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Modified link prediction algorithm based on AdaBoost by Zu-feng WU, Qi LIANG, Qiao LIU, Zhi-guang QIN

“…The mainstream of current link prediction algorithm based on network topology structure generally have the problem of low efficiency of recalls.Study found that the correct results from some of the link prediction algorithms are complementary,accordingly,the Boosting method was considered to improve it.According to whether there is a link relationship between the nodes,the problem was divided into two categories,thus the link prediction algorithm as a two classification problem was defined.Furthermore,the algorithm complementary principle to select a number of representative link prediction algorithms as weak classifiers was followed,and a novel link prediction algorithm based on the AdaBoost algorithm was come up.The experimental results on the data from real dataset like the arXiv paper cooperation network and E-mail network show that,the novel algorithm has a better accuracy than the current mainstream algorithms.…”
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Curcumin-Based Nanoparticles: Advancements and Challenges in Tumor Therapy by Hicham Wahnou, Riad El Kebbaj, Bertrand Liagre, Vincent Sol, Youness Limami, Raphaël Emmanuel Duval

“…Curcumin, a bioactive compound derived from the rhizome of <i>Curcuma longa</i> L., has garnered significant attention for its potent anticancer properties. …”
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Quantifying Uncertainty of Insurance Claims Based on Expert Judgments by Budhi Handoko, Yeny Krista Franty, Fajar Indrayatna

“…In Bayesian statistics, prior specification has an important role in determining the quality of posterior estimates. …”
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Output-Based Control of Robots with Variable Stiffness Actuation by Gianluca Palli, Claudio Melchiorri

“…The output-based control of a redundant robotic manipulator with relevant and adjustable joint stiffness is addressed. …”
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Blockchain based micropayment for e-health IOT sensors by Mahdi Shahraki, Amir Jalali Bighdeli

“…Increasing the use of this technology in smart cities requires improving the IT infrastructure for the security and privacy of users. This has led to the use of blockchain technology alongside the Internet of Things. …”
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Using machine learning-based models for personality recognition by Fatemeh Mohades Deilami, Hossein Sadr, Mozhdeh Nazari

“…Big Data and Computing Visions…”
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Magnesium-based nanocomposites for orthopedic applications: A review by Meng Cheng, Xigang Liang, Lihua Cui, Dongyan Guan, Yang Qu, Jianwu Zhao, Kai Guan

Subjects: “…Magnesium-based nanocomposite…”
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Patch-based domain adversarial training for speech enhancement by WANG Hongtao, LU Zhihua, YE Qingwei, ZHANG Lianjun

“…In deep learning-based speech enhancement methods, mismatched distributions between training data and test data are often encountered. …”
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