Design of miner type identification mechanism based on reputation management model by Jiaren YU, Youliang TIAN, Hui LIN

“…In the public mining pool, miners can freely enter the mining pool to submit proof of work to obtain rewards, and there are no conditions to restrict different types of miners.There will be malicious miners submitting invalid workloads and miners not submitting workloads in the mining pool, occupying the verification computing resources of the mining pool, reducing the verification efficiency of the mining pool, and causing the mining pool system to collapse.Aiming at the problem that it is difficult to distinguish the type of miners in the mining pool, which leads to the collapse of the mining pool system, a reputation management mechanism was introduced to measure the behavior of miners, and contracts were deployed to prevent miners from colluding with the pool manager.A design of miner type identification mechanism based on reputation management model was proposed.A reputation mechanism was constructed to measure the behavior of miners.When a miner conducts malicious behavior, the miner's reputation value would be lowered.When the miner's reputation value was less than the reputation threshold of the mining pool, the system would remove the miner, so that the miner can no longer enter the mining pool to submit proof of work and get rewards.The miners in the mining pool were dynamically updated by Markov process, so that the miners in the mining pool were conducting honest behaviors and submitting proof of work.At the same time, a reward system was designed to motivate the miners in the mining pool, and smart contracts were deployed in the mining pool to prevent miners from collusion with the mining pool manager.Finally, analyzing the scheme from the perspective of security and performance, the proposed scheme was not only safe in the process of miners submitting proof of workload, but also solved the problem of identifying miner types in public mining pools, thereby solving the problem of malicious miners submitting invalid workloads, eliminating malicious miners, and avoiding mining pools verifying invalid workloads, to improve the verification efficiency of the mining pool.…”
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Object Reconstruction Using the Binomial Theorem for Ghost Imaging by Cong Yue, Ping Chen, Xiaofeng Lv, Chenglong Wang, Shuxu Guo, Junfeng Song, Wenlin Gong, Fengli Gao

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DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

“…By leveraging an adaptive hierarchical grid partitioning mechanism, the algorithm dynamically adjusts computational intensity in accordance with terrain complexity. …”
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Global information aware network with global interaction graph attention for infrared small target detection by Ruimin Yang, Yidan Zhang, Guangshuai Gao, Liang Liao, Chunlei Li

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Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling by Wen‐Gen Tang, Hong Jiang, Qi Zhang

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Leveraging Pre-Built Catalogs and Object-Level Scheduling to Eliminate I/O Bottlenecks in HPC Environments by Seoyeong Lee, Junghwan Park, Yoochan Kim, Safdar Jamil, Awais Khan, Seung Woo Son, Jae-Kook Lee, Do-Sik An, Taeyoung Hong, Youngjae Kim

“…Modern High-Performance Computing (HPC) environments face mounting challenges due to the shift from large to small file datasets, along with an increasing number of users and parallelized applications. …”
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Comparative Analysis of GPT-4 and LLaMA 3.2 Integration With Speech Processing Models for Enhancing Human–Robot Interaction and Motion Control in Real-World Applications by Sheeba Uruj, Riddhi Goswami, Sujala D. Shetty, Kalaichelvi Venkatesan, Karthikeyan Ramanujam

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Multi-Criteria Optimization of the Paper Production Process Using Numerical Taxonomy Methods: A Necessary Condition for Predicting Heat and Electricity Output in a Combined Heat an... by Daria Polek, Tomasz Niedoba, Dariusz Jamróz

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Acute lymphoblastic leukemia cancer diagnosis in children and adults using transforming blood fluorescence microscopy imaging by Amjad Rehman, Muhammad Mujahid, Tanzila Saba, Faten S. Alamri, Noor Ayesha

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RNA secondary structure prediction by conducting multi-class classifications by Jiyuan Yang, Kengo Sato, Martin Loza, Sung-Joon Park, Kenta Nakai

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Practical Design and Implementation of Virtual Chatbot Assistants for Bioinformatics Based on a NLU Open Framework by Aya Allah Elsayed, Ahmed Ibrahem Hafez, Raquel Ceprián, Genís Martínez, Alejandro Granados, Beatriz Soriano, Carlos Llorens, José M. Sempere

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Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature by Yalbi Itzel Balderas-Martínez, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Iván García-Pacheco, Ignacio Arroyo-Fernández

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A novel trace-based sampling method for conformance checking by Heidy M. Marin-Castro, Miguel Morales-Sandoval, José Luis González-Compean, Julio Hernandez

“…Under a big data scenario, traditional conformance checking methods struggle to analyzing the instances or traces in large event logs, increasing the associated computational cost. In this article, we study and address the conformance-checking task supported by a traces selection approach that uses representative sample data of the event log and thus reduces the processing time and computational cost without losing confidence in the obtained conformance value. …”
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Speech Recognition System Based on Machine Learning in Persian Language by Shahed Mohammadi, Niloufar Hemati, Neda Mohammadi

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EquiRate: balanced rating injection approach for popularity bias mitigation in recommender systems by Mert Gulsoy, Emre Yalcin, Alper Bilge

“…In this study, we propose the EquiRate method as a pre-processing approach, addressing this problem by injecting synthetic ratings into less popular items to make the dataset regarding rating distribution more balanced. …”
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Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data by Hong-Jie Dai, Chien-Chang Chen, Tatheer Hussain Mir, Ting-Yu Wang, Chen-Kai Wang, Ya-Chen Chang, Shu-Jung Yu, Yi-Wen Shen, Cheng-Jiun Huang, Chia-Hsuan Tsai, Ching-Yun Wang, Hsiao-Jou Chen, Pei-Shan Weng, You-Xiang Lin, Sheng-Wei Chen, Ming-Ju Tsai, Shian-Fei Juang, Su-Ying Wu, Wen-Tsung Tsai, Ming-Yii Huang, Chih-Jen Huang, Chih-Jen Yang, Ping-Zun Liu, Chiao-Wen Huang, Chi-Yen Huang, William Yu Chung Wang, Inn-Wen Chong, Yi-Hsin Yang

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Fusing Transformer-XL with bi-directional recurrent networks for cyberbullying detection by Md. Mithun Hossain, Md. Shakil Hossain, Md. Shakhawat Hossain, M. Firoz Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che

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Pretrained Language Models as Containers of the Discursive Knowledge by Rafal Maciag

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The Hermeneutics of Artificial Text by Rafal Maciag

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TASCI: transformers for aspect-based sentiment analysis with contextual intent integration by Hassan Nazeer Chaudhry, Farzana Kulsoom, Zahid Ullah Khan, Muhammad Aman, Sajid Ullah Khan, Abdullah Albanyan

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