338 research outputs found
Dynamic Texture Map Based Artifact Reduction For Compressed Videos
This paper proposes a method of artifact reduction in compressed videos using dynamic texture map together with artifact maps and 3D - fuzzy filters. To preserve better details during filtering process, the authors introduce a novel method to construct a texture map for video sequences called dynamic texture map. Then, temporal arifacts such as flicker artifacts and mosquito artifacts are also estimated by advanced flicker maps and mosquito maps. These maps combined with fuzzy filters are applied to intraframe and interframe pixels to enhancecompressed videos. Simulation results verify the advanced performance of the proposed fuzzy filtering scheme in term of visual quality, SSIM, PSNR and flicker metrics in comparisionwith existing state of the art methods
Design a cryptosystem using elliptic curves cryptography and Vigenère symmetry key
In this paper describes the basic idea of elliptic curve cryptography (ECC) as well as Vigenère symmetry key. Elliptic curve arithmetic can be used to develop elliptic curve coding schemes, including key exchange, encryption, and digital signature. The main attraction of elliptic curve cryptography compared to Rivest, Shamir, Adleman (RSA) is that it provides equivalent security for a smaller key size, which reduces processing costs. From the theorical basic, we proposed a cryptosystem using elliptic curves and Vigenère cryptography. We proposed and implemented our encryption algorithm in an integrated development environment named visual studio 2019 to design a safe, secure, and effective cryptosystem
Cross Sections for the ZrNb Reactions Induced by 27.7 MeV Protons
The cross-sections for the formation of Nb and Nb radionuclides in proton induced nuclear reactions on zirconium were measured by using the well known activation method. The natural zirconium (Zr) target and copper (Cu) monitor foils were irradiated by 27.7 MeV proton beam at the MC50 Cyclotron of the Korea Institute of Radiological and Medical Science (KIRAMS), Korea. The induced gamma activities of the reaction products were measured by a coaxial high purity germanium (HPGe) detector coupled to a PC-based multichannel analyzer. The obtained cross sections for each nuclide are compared with those existing in literature and with the theoretical cross sections calculated by the TALYS - 1.4 code
ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
Mathematical questioning is crucial for assessing students problem-solving
skills. Since manually creating such questions requires substantial effort,
automatic methods have been explored. Existing state-of-the-art models rely on
fine-tuning strategies and struggle to generate questions that heavily involve
multiple steps of logical and arithmetic reasoning. Meanwhile, large language
models(LLMs) such as ChatGPT have excelled in many NLP tasks involving logical
and arithmetic reasoning. Nonetheless, their applications in generating
educational questions are underutilized, especially in the field of
mathematics. To bridge this gap, we take the first step to conduct an in-depth
analysis of ChatGPT in generating pre-university math questions. Our analysis
is categorized into two main settings: context-aware and context-unaware. In
the context-aware setting, we evaluate ChatGPT on existing math
question-answering benchmarks covering elementary, secondary, and ternary
classes. In the context-unaware setting, we evaluate ChatGPT in generating math
questions for each lesson from pre-university math curriculums that we crawl.
Our crawling results in TopicMath, a comprehensive and novel collection of
pre-university math curriculums collected from 121 math topics and 428 lessons
from elementary, secondary, and tertiary classes. Through this analysis, we aim
to provide insight into the potential of ChatGPT as a math questioner.Comment: Accepted at the 39th ACM/SIGAPP Symposium On Applied Computing (SAC
2024), Main Conferenc
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