Trust evaluation optimization mechanism for cloud user behavior based on FANP by Yi ZHANG, Liqin TIAN, Zenan WU, Wenxing WU

“…The open cloud computing environment is facing security challenges and the traditional user behavior evaluation mechanism cannot guarantee the security of the cloud.In order to scientifically and quantitatively evaluate the user’s behavior trust, ensure the scientific and reasonable weight assignment, improve the security and credibility of user behavior under the cloud platform, a trust evaluation optimization mechanism combined with fuzzy analytic network process (FANP) was designed.In the proposal, user behavior trust evaluation based on one control target was extended to include two control target modules which were historical access behavior and current access environment.At the same time, the historical access behavior module was divided into two aspects: conventional behavior and gray behavior, and the current access environment module was divided into two directions: information integrity and access security.The corresponding control criteria was divided to construct the analytic network process (ANP) model under different control objectives.The limit hypermatrix under each target module was calculated to obtain the final stability weight of each element with the help of network analytic hierarchy process software.And the real user behavior data under the development platform was selected to comprehensively calculate the trust degree under different modules as the final behavior evaluation result.The expansion of the user behavior evaluation module refined the evaluation granularity, which makes the evaluation results more objective and accurate.In the cloud environment with the same malicious ratio, the optimization mechanism has better recognition effect, and it can identify cloud users with low trust efficiently and effectively, so as to improve the security and legitimacy of the cloud.At the same time, it also provids new research direction for solving the problem of user security and credibility, and effective risk control in the cloud environment.…”
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Daily Plasmaspheric TEC Variations From COSMIC GPS Observations Based on RBF Neural Network‐Kriging Method by Qiqi Shi, Shuanggen Jin, Linlin Li

“…In this paper, a novel joint method of radial basis function neural network—Kriging (RBF‐Kr) method is designed to construct the daily PTEC model using the Constellation Observing System for Meteorology, Ionosphere and Climate Global Positioning System observations during the low (2009) and high (2013) solar activity years. …”
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Bone Formation from Porcine Dental Germ Stem Cells on Surface Modified Polybutylene Succinate Scaffolds by Nergis Abay, Gorke Gurel Pekozer, Mustafa Ramazanoglu, Gamze Torun Kose

“…Designing and providing a scaffold are very important for the cells in tissue engineering. …”
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Dynamic Stiffness Measurements of Road Pavements by Means of Impact Hammer in a Non-Resonant Configuration by Matteo Bolognese, Erica Greco, Francesco Bianco, Gaetano Licitra

“…During the work, a measurement aid device named Test Automation Device (TAD) was designed and implemented to increase the quality of the measurements. …”
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Promoting Preservice Teachers’ Attitudes toward Socioscientific Issues by Sundus Yerdelen, Mustafa Cansız, Nurcan Cansız, Hakan Akcay

“…For this purpose, a semester-long socioscientific issues course was designed and implemented. Data were collected from a science education group (preservice science teachers) and a non-science education group (preservice social-science teachers). …”
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Simulation and Analysis of a Split Drill Bit for Pneumatic DTH Hammer Percussive Rotary Drilling by Yuanling Shi, Conghui Li

“…In this paper, several types of split drill bits for different drilling technologies are designed. The flow field characteristics of one of the split drill bits is analyzed based on the computational fluid dynamics (CFD) method, with four technic parameters considered, which are input flow rate, number of inlet holes, angle of injection exhaust holes, and diameter of injection exhaust holes, respectively. …”
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Molecular docking and quantitative structure-activity relationships for a series of Trypanosoma cruzi dihydroorotate dehydrogenase inhibitors by Gabriela Ciffeli de Jesus, Tatiana Santana Ribeiro, Adriano D. Andricopulo, Leonardo Luiz Gomes Ferreira

“…Although restricted to a congeneric series and focused solely on 2D and 3D descriptors, these QSAR models and molecular docking analyses identified key properties and intermolecular interactions for designing and optimizing new compounds as potent T. cruzi DHODH inhibitors.…”
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Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling by Younghyun Koo, Maryam Rahnemoonfar

“…Although several deep learning emulators using graphic processing units (GPUs) have been proposed to accelerate ice sheet modeling, most of them rely on convolutional neural networks (CNNs) designed for regular grids. Since they are not appropriate for the irregular meshes of ISSM, we use a graph convolutional network (GCN) to replicate the adapted mesh structures of the ISSM. …”
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Performance Level of Physical Education Students: Basis for the Development of Task-Based Teaching Strategies by Abegail B. Limbo, Charis B. Limbo-Rivera

“…Thus, this study aims to determine the performance level of the Grade 10 PE students and the extent of implementation of the Grade 10 PE curriculum in Mahaplag, Leyte Division, with the end view of designing a task-based teaching strategy in Physical Education. …”
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THD Reduction of Improved Single Source MLI Using Upgraded Black Widow Optimization Algorithm by Rupali Mohanty, Debashis Chatterjee, Satyajit Mohanty, C. Dhanamjayulu, Baseem Khan

“…The reduced structure MLI is designed with three asymmetrical DC voltage sources of ratio 1 : 2 : 4 to generate 15-level output voltage which requires reduced number of switching devices in comparison with the existing topologies of equivalent voltage level. …”
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Increase of the productive level as a demand for the conscious content assimilation of Philosophy: student´s perception by Julio Fragoso Fragoso, Ana María Molina Gómez, Lian Roque Roque, Maritza Cabrera Robau

“…There was an increase of the productive assimilation level in the seminar guidelines and practical lessons, on the bases of designing integrating questions. The number of questions decreased. …”
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Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks by Inam Abousaber, Amira A. Mohamed, Haitham F. Abdallah

“…Fifth-generation (5G) networks are designed to overcome critical challenges, including achieving high data rates, supporting massive device connectivity, and ensuring low latency. …”
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Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision by Xin Bai, Zi Zhang

“…In this study, the vibration data of two beam-ABAQUS models were used as the input data for a newly designed deep learning-based structural health monitoring method. …”
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Application of Regional Climatic Models to Assess the Performance Evaluation of Changes on Flood Frequency in Woybo Catchment, Ethiopia by Tigistu Yisihak Ukumo, Tarun Kumar Lohani, Muluneh Legesse Edamo, Matusal Arja Alaro, Mesfin Amaru Ayele, Habtamu Bogale Borko

“…This research paves way to reduce the negative impacts of flooding and plays a vital role in providing estimates of recurrence floods which are used in designing roads, dams, and bridges for sustainable water resources management.…”
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The Role of Iran’s «Soft Power» in Confronting Iranophobia by S. M. Mirmohammad Sadeghi, R. Hajimineh

“…«Soft power» is a set of activities designed by a government or regional and international actors aimed to influence external public opinion, promote external image or attract support for a particular policy, which is implemented through all the available tools and new technologies. …”
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Interpersonal relationships as coping mechanisms during bed rest: a thematic synthesis literature review by Ana Cikač, Ana Cikač, Saša Pišot

“…Bed rest (BR) studies are primarily designed to investigate the effects of weightlessness on the human body, but they are also used to study the effects of physical inactivity. …”
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Investigating the Impact of Automated Vehicles on the Safety and Operation of Low-Speed Urban Networks by Amir Hossein Karbasi, Nan Zheng, Steve O’Hern

“…In addition, this study discusses the implications for designing and operating safe, low-speed urban road networks. …”
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A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach by Murad Bashabsheh

“…The model presented in this paper is designed to simulate the spatial distribution of diseases in a spatially structured population. …”
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Estimating Weak Pulse Signal in Chaotic Background with Jordan Neural Network by Liyun Su, Xiu Ling

“…Then, a Jordan neural network- (JNN-) based model is designed, which can minimize the error squared sum by mixing the single-point jump model for targeting signal. …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…To tackle this challenge, this paper introduces a forecasting model called DFCNformer (De-stationary Fourier and Coefficient Network Transformer), designed to mitigate accuracy degradation caused by non-stationarity in time-series data. …”
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