Binary program taint analysis optimization method based on function summary by Pan YANG, Fei KANG, Hui SHU, Yuyao HUANG, Xiaoshao LYU

“…Taint analysis is a popular software analysis method, which has been widely used in the field of information security.Most of the existing binary program dynamic taint analysis frameworks use instruction-level instrumentation analysis methods, which usually generate huge performance overhead and reduce the program execution efficiency by several times or even dozens of times.This limits taint analysis technology’s wide usage in complex malicious samples and commercial software analysis.An optimization method of taint analysis based on function summary was proposed, to improve the efficiency of taint analysis, reduce the performance loss caused by instruction-level instrumentation analysis, and make taint analysis to be more widely used in software analysis.The taint analysis method based on function summary used function taint propagation rules instead of instruction taint propagation rules to reduce the number of data stream propagation analysis and effectively improve the efficiency of taint analysis.For function summary, the definition of function summary was proposed.And the summary generation algorithms of different function structures were studied.Inside the function, a path-sensitive analysis method was designed for acyclic structures.For cyclic structures, a finite iteration method was designed.Moreover, the two analysis methods were combined to solve the function summary generation of mixed structure functions.Based on this research, a general taint analysis framework called FSTaint was designed and implemented, consisting of a function summary generation module, a data flow recording module, and a taint analysis module.The efficiency of FSTaint was evaluated in the analysis of real APT malicious samples, where the taint analysis efficiency of FSTaint was found to be 7.75 times that of libdft, and the analysis efficiency was higher.In terms of accuracy, FSTaint has more accurate and complete propagation rules than libdft.…”
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AN ITERATION METHOD OF COMPANY MANAGEMENT OPTIMIZATION USING INvERSE CALCULATIONS by B. E. Odintsov, A. N. Romanov

“…This requirement encourages the search of new optimization methods. The proposed method is based on the expanded «resource» concept, which in turn has made it possible to introduce a concept of interchangeability of resources of various nature. …”
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NUTRIENT MEDIUM SELECTION AND OPTIMIZATION OF AVIBACTERIUM PARAGALLINARUM DEEP CULTURE METHOD by M. S. Firsova, V. A. Yevgrafova, A. V. Potekhin

“…Herewith, the mean time of the live microbial cell concentration doubling was minimal (td = 0.88 h), and the exponential growth phase lasted for 6 hours. The optimal method for Avibacterium paragallinarum cultivation in casein soy­bean broth in laboratory bioreactor Biotron LiFlus GX was determined through the measurements and adjustment of basic physical and chemical parameters. …”
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Research on Optimization Method of Non-Excavation Crossing Magnetic Target Parameters by HUANG Yang, CHE Yang, FENG Fuping, JIANG Chunlei, DU Weiqiang, ZHANG Zhengju

“…In view of the problem that the magnetic induction intensity of the magnetic target cannot continue to increase like the theoretical value due to the existence of magnetic saturation, and the theoretical guidance range of the magnetic target is different from the actual value, this study proposes a magnetic target parameter optimization method considering the magnetic saturation phenomenon. …”
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Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

“…The above data indicates that the personalized education resource recommendation model has good classification recommendation accuracy and stability, which can participate well in personalized education resource recommendation work, achieving optimization and upgrading of education resource recommendation methods on different platforms.…”
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Roadway roof stability grading method based on multi-index optimization by Xiaoqiang Xue, Wei Du, Jian Cui, Wenxing Zhang

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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

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SOLUBILITY OPTIMIZATION OF TERBINAFINE HYDROCHLORIDE SOLID DISPERSION BY BINARY AND TERNARY METHOD by Zeeshan Masood, ujala mansoor, Ayesha Pervaiz, Maha Tariq, Husna Baqar, Zainab Naveed Khan, Aiman Baqar

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Optimized Neural Network Method for Temperature Estimation along Optical Fiber by LI Suya, DONG Yanwei, LI Lin, ZHANG Chi, LI Nan, NING Qi, CHEN Yonghui

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Cervical Cell Nuclear Segmentation Method Based on Optimized MSER Algorithm by HE Yong jun, ZHANG Xue yuan, SHAO Hui li, DING Bo

“…In order to solve this problem, a method of cervical nucleus segmentation based on optimal maximum stability regions(Maximally Stable Extremal Regions, MSER) algorithm is proposed. …”
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MODIFICATION OF FIREWORKS METHOD FOR MULTIOBJECTIVE OPTIMIZATION BASED ON NON-DOMINATED SORTING by A. V. Panteleev, A. U. Krychkov

“…The article suggests a modification for numerical fireworks method of the single-objective optimization for solving the problem of multiobjective optimization. …”
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Potential Application of The Zero Waste Fashion Method to Optimize Fabric Usage by Faradillah Nursari, Fadhilaturrahmah Fadhilaturrahmah, Sari Yuningsih

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Optimization of Abdominal Cavity Limitation Method for Prolongation of Peritoneal Dialysis in Experiment by Kebkalo A., Hrianyla V., Reiti A., Yatsyk I.

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Dynamic Modeling of Limit Order Book and Market Maker Strategy Optimization Based on Markov Queue Theory by Fei Xie, Yang Liu, Changlong Hu, Shenbao Liang

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<i>Clostridioides difficile</i> Infections in Children: What Is the Optimal Laboratory Diagnostic Method? by Mohammed Suleiman, Patrick Tang, Omar Imam, Princess Morales, Diyna Altrmanini, Jill C. Roberts, Andrés Pérez-López

“…Many laboratory diagnostic methods are available, but there continues to be controversy over the optimal laboratory testing approach to diagnose CDI in children. …”
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NEW WAVEGUIDE METHOD FOR DIELECTRIC PARAMETER MEASUREMENT by Andrey D. Grigoriev

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A distributionally robust machine learning model of simultaneous classification and feature selection under data uncertainty: Theory, methods, and application to the identification... by Q.Y. Huang, N.D. Dizon, N. Jeyakumar, V. Jeyakumar

“…Based on Wasserstein distributionally robust optimization, we develop computationally feasible robust SVM models along with efficient second-order cone programming methods using an integrated application of tools from convex non-smooth analysis and difference-of-convex optimization. …”
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Performance Assessment of Natural Survivor Method-Based Metaheuristic Optimizers in Global Optimization and Engineering Design Problems by Hüseyin Bakır

“…This study presents the comparative performance analysis of Natural Survivor Method (NSM)-based algorithms in solving the IEEE CEC 2022 test suite benchmark problems and four real-world engineering design problems. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

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Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue by Paweł Kamiński, Aleksander Gali, Rafał Obuchowicz, Michał Strzelecki, Adam Piórkowski, Marcin Kociołek, Elżbieta Pociask, Joanna Kwiecień, Karolina Nurzyńska

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