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Journal articles on the topic 'Pseudo-High-Entropy'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Zhu, Junchao, and Nan Gao. "Entropy Teacher: Entropy-Guided Pseudo Label Mining for Semi-Supervised Small Object Detection in Panoramic Dental X-Rays." Electronics 14, no. 13 (2025): 2612. https://doi.org/10.3390/electronics14132612.

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Small-scale object detection remains a significant challenge in semi-supervised object detection (SSOD), particularly in panoramic dental X-rays. Due to the small lesion size, low contrast, and complex anatomical background, conventional teacher models often fail to extract accurate lesion features, leading to noisy pseudo labels and suboptimal detection performance. Additionally, most existing SSOD methods rely on high-confidence thresholds to select pseudo labels, which may mistakenly discard valuable predictions with low scores but accurate localization—especially for small-scale targets. T

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GURMAN, Ivan, Viktor CHESHUN, Nataliia PETLIAK, Andrii DZHULIY, and Vitalii CHORNENKYI. "DETERMINATION OF ENTROPY COMPONENT IN SENSOR INDICATORS FOR GENERATION OF CRYPTOGRAPHIC KEYS OF THE MOBILE APPLICATION OF THE CLIENT-BANK SYSTEM." Herald of Khmelnytskyi National University 301, no. 5 (2021): 18–21. http://dx.doi.org/10.31891/2307-5732-2021-301-5-18-21.

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The rapid penetration of the banking market of mobile banking creates not only new opportunities and conveniences, but also new risks and threats, which leads to increased requirements for information security of mobile services. One of the important components of the security of the mobile banking service of the client-bank system is the protection mechanisms based on the use of cryptographic keys. The stability of cryptographic keys is a guarantee of system reliability and, in turn, is based on the mechanisms of generating pseudo-random numbers using primary sources of entropy, for the effec

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Jia, Xuqing, Wende Tian, Chuankun Li, Xia Yang, Zhongjun Luo, and Hui Wang. "A Dynamic Active Safe Semi-Supervised Learning Framework for Fault Identification in Labeled Expensive Chemical Processes." Processes 8, no. 1 (2020): 105. http://dx.doi.org/10.3390/pr8010105.

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A novel active semi-supervised learning framework using unlabeled data is proposed for fault identification in labeled expensive chemical processes. A principal component analysis (PCA) feature selection strategy is first given to calculate the weight of the variables. Secondly, the identification model is trained based on the obtained key process variables. Thirdly, the pseudo label confidence of identification model is dynamically optimized with an historical, current, and future pseudo label confidence mean. To increase the upper limit of the identification model that is self-learning with

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Kumar, Anil, B. Vinith, Aditya Kumar Choudhary, and Manoj Kumar Chopkar. "Synthesis and Characterization of Novel High Entropy Alloys." Materials Science Forum 978 (February 2020): 167–73. http://dx.doi.org/10.4028/www.scientific.net/msf.978.167.

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High entropy alloys (HEAs) generally exhibit either high resistance to deformation or high toughness due to the presence of body-centered or face-centered cubic structure, respectively. To overcome these limitations, new high entropy alloys have been developed in the present study. This investigation aims to synthesis and characterization of novel CoCrFeNi3Si, CoCrFe2Ni2Si, and Co2CrFeNi2Si high entropy alloys. The mechanical alloying route is used to synthesize these alloys. Grinding was carried out to 20h and X-ray diffraction (XRD) analysis was done at different time intervals of grinding.

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Inoue, A., F. L. Kong, S. L. Zhu, B. L. Shen, A. Churyumov, and W. J. Botta. "Formation, structure and properties of pseudo-high entropy clustered bulk metallic glasses." Journal of Alloys and Compounds 820 (April 2020): 153164. http://dx.doi.org/10.1016/j.jallcom.2019.153164.

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Fei, Chenyang, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, and Zejie Wang. "EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network." Information 16, no. 1 (2025): 21. https://doi.org/10.3390/info16010021.

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With the increasing connectivity and automation on the Internet of Vehicles, safety, security, and privacy have become stringent challenges. In the last decade, several cryptography-based protocols have been proposed as intuitive solutions to protect vehicles from information leakage and intrusions. Before generating the encryption keys, a random number generator (RNG) plays an important component in cybersecurity. Several deep learning-based RNGs have been deployed to train the initial value and generate pseudo-random numbers. However, interference from actual unpredictable driving environmen

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Cui, Binge, Jiandi Cui, Yan Lu, Nannan Guo, and Maoguo Gong. "A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification." Remote Sensing 12, no. 4 (2020): 664. http://dx.doi.org/10.3390/rs12040664.

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Hyperspectral image classification methods may not achieve good performance when a limited number of training samples are provided. However, labeling sufficient samples of hyperspectral images to achieve adequate training is quite expensive and difficult. In this paper, we propose a novel sample pseudo-labeling method based on sparse representation (SRSPL) for hyperspectral image classification, in which sparse representation is used to select the purest samples to extend the training set. The proposed method consists of the following three steps. First, intrinsic image decomposition is used t

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Cui, Mengtian, Kai Li, Yulan Li, Dany Kamuhanda, and Claudio J. Tessone. "Semi-Supervised Semantic Segmentation of Remote Sensing Images Based on Dual Cross-Entropy Consistency." Entropy 25, no. 4 (2023): 681. http://dx.doi.org/10.3390/e25040681.

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Semantic segmentation is a growing topic in high-resolution remote sensing image processing. The information in remote sensing images is complex, and the effectiveness of most remote sensing image semantic segmentation methods depends on the number of labels; however, labeling images requires significant time and labor costs. To solve these problems, we propose a semi-supervised semantic segmentation method based on dual cross-entropy consistency and a teacher–student structure. First, we add a channel attention mechanism to the encoding network of the teacher model to reduce the predictive en

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Wang, Zhu, Zhe Feng, Xue-Hua Fan, and Lei Zhang. "Pseudo-passivation mechanism of CoCrFeNiMo0.01 high-entropy alloy in H2S-containing acid solutions." Corrosion Science 179 (February 2021): 109146. http://dx.doi.org/10.1016/j.corsci.2020.109146.

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Liu, Wenjie, Wenkai Zhang, Xian Sun, and Zhi Guo. "Unsupervised Cross-Scene Aerial Image Segmentation via Spectral Space Transferring and Pseudo-Label Revising." Remote Sensing 15, no. 5 (2023): 1207. http://dx.doi.org/10.3390/rs15051207.

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Unsupervised domain adaptation (UDA) is essential since manually labeling pixel-level annotations is consuming and expensive. Since the domain discrepancies have not been well solved, existing UDA approaches yield poor performance compared with supervised learning approaches. In this paper, we propose a novel sequential learning network (SLNet) for unsupervised cross-scene aerial image segmentation. The whole system is decoupled into two sequential parts—the image translation model and segmentation adaptation model. Specifically, we introduce the spectral space transferring (SST) approach to n

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Yang, Zhu, Wang, Yang, Wu, and Li. "Super-Resolution Reconstruction of Cell Pseudo-Color Image Based on Raman Technology." Sensors 19, no. 19 (2019): 4076. http://dx.doi.org/10.3390/s19194076.

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Raman spectroscopy visualization is a challenging task due to the interference of complex background noise and the number of selected measurement points. In this paper, a super-resolution image reconstruction algorithm for Raman spectroscopy is studied to convert raw Raman data into pseudo-color super-resolution imaging. Firstly, the Raman spectrum data of a single measurement point is measured multiple times to calculate the mean value to remove the random background noise, and innovatively introduce the Retinex algorithm and the median filtering algorithm which improve the signal-to-noise ra

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12

Zhao, Yang, Jiajun Zhang, Chengqing Zong, Zhongjun He, and Hua Wu. "Addressing the Under-Translation Problem from the Entropy Perspective." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 451–58. http://dx.doi.org/10.1609/aaai.v33i01.3301451.

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Neural Machine Translation (NMT) has drawn much attention due to its promising translation performance in recent years. However, the under-translation problem still remains a big challenge. In this paper, we focus on the under-translation problem and attempt to find out what kinds of source words are more likely to be ignored. Through analysis, we observe that a source word with a large translation entropy is more inclined to be dropped. To address this problem, we propose a coarse-to-fine framework. In coarse-grained phase, we introduce a simple strategy to reduce the entropy of highentropy w

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Abu Hassan, Nur Hudawiyah, Nor Akmal Fadil, Nur Ayuni Jamal, Farah Diana Mohd Daud, and Norhuda Hidayah Nordin. "Decolorization Kinetics of Azo Dye (Methyl Orange) in Fenton Process with High Entropy Alloys as Catalyst." Materials Science Forum 1111 (December 22, 2023): 145–50. http://dx.doi.org/10.4028/p-c9h5jy.

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This study explored the decolorization kinetics of azo dye (methyl orange) with the presence of high entropy alloys (HEAs) as a catalyst in the Fenton process. The kinetic reaction of the azo dye was determined using the first and second-order kinetics model. The slope from the first pseudo kinetics model was determined to compute the decolorization rate constant (K) This present work showed that the model was significantly well fitted with the experimental data. The highest K value of HEA catalyst was occurred at 30 minutes within 60 minutes of the Fenton reaction. The obtained result also sh

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Koga, G. Y., D. Travessa, G. Zepon, et al. "Corrosion resistance of pseudo-high entropy Fe-containing amorphous alloys in chloride-rich media." Journal of Alloys and Compounds 884 (December 2021): 161090. http://dx.doi.org/10.1016/j.jallcom.2021.161090.

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Batalha, Weverson C., Virginie Roche, Yannick Champion, et al. "Newly-developed pseudo-high entropy amorphous alloys: Structure/microstructure evolution, mechanical and corrosion properties." Journal of Non-Crystalline Solids 613 (August 2023): 122369. http://dx.doi.org/10.1016/j.jnoncrysol.2023.122369.

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16

Zheng, Hexiang, Hongfei Hou, Delong Tian, Changfu Tong, and Ziyuan Qin. "Evaluating the Patterns of Maize Development in the Hetao Irrigation Region Using the Sentinel-1 GRD SAR Bipolar Descriptor." Sensors 24, no. 21 (2024): 6864. http://dx.doi.org/10.3390/s24216864.

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Assessing maize yield is critical, as it is directly influenced by the crop’s growth conditions. Therefore, real-time monitoring of maize growth is necessary. Regular monitoring of maize growth indicators is essential for optimizing irrigation management and evaluating agricultural yield. However, quantifying the physical aspects of regional crop development using time-series data is a challenging task. This research was conducted at the Dengkou Experimental Station in the Hetao irrigation area, Northwest China, to develop a monitoring tool for regional maize growth parameters. The tool aimed

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17

Mu, Penghua, Wei Pan, Shuiying Xiang, Nianqiang Li, Xinkai Liu, and Xihua Zou. "Fast physical and pseudo random number generation based on a nonlinear optoelectronic oscillator." Modern Physics Letters B 29, no. 24 (2015): 1550142. http://dx.doi.org/10.1142/s0217984915501420.

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High speed random number generation (RNG) utilizing a nonlinear optoelectronic oscillator (OEO) is explored experimentally. It has been found that by simply adjusting either the injected optical power or the gain of the modulator driver, low complexity dynamics such as square wave, and more complex dynamics including fully developed chaos can be experimentally achieved. More importantly, physical RNG based on high-speed-oscilloscope measurements and pseudo RNG based on post-processing are implemented in this paper. The generated bit sequences pass all the standard statistical random tests, ind

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18

Esakkiraja, Neelamegan, Keerti Pandey, Anuj Dash, and Aloke Paul. "Pseudo-binary and pseudo-ternary diffusion couple methods for estimation of the diffusion coefficients in multicomponent systems and high entropy alloys." Philosophical Magazine 99, no. 18 (2019): 2236–64. http://dx.doi.org/10.1080/14786435.2019.1619027.

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19

Crocetti, Luca, Stefano Di Matteo, Pietro Nannipieri, Luca Fanucci, and Sergio Saponara. "Design and Test of an Integrated Random Number Generator with All-Digital Entropy Source." Entropy 24, no. 2 (2022): 139. http://dx.doi.org/10.3390/e24020139.

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In the cybersecurity field, the generation of random numbers is extremely important because they are employed in different applications such as the generation/derivation of cryptographic keys, nonces, and initialization vectors. The more unpredictable the random sequence, the higher its quality and the lower the probability of recovering the value of those random numbers for an adversary. Cryptographically Secure Pseudo-Random Number Generators (CSPRNGs) are random number generators (RNGs) with specific properties and whose output sequence has such a degree of randomness that it cannot be dist

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20

Zhao, S. F., Y. Shao, X. Liu, N. Chen, H. Y. Ding, and K. F. Yao. "Pseudo-quinary Ti20Zr20Hf20Be20(Cu20-xNix) high entropy bulk metallic glasses with large glass forming ability." Materials & Design 87 (December 2015): 625–31. http://dx.doi.org/10.1016/j.matdes.2015.08.067.

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Datcu, Octaviana, Corina Macovei, and Radu Hobincu. "Chaos Based Cryptographic Pseudo-Random Number Generator Template with Dynamic State Change." Applied Sciences 10, no. 2 (2020): 451. http://dx.doi.org/10.3390/app10020451.

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This article presents a configurable, high-throughput pseudo-random number generator template targeting cryptographic applications. The template is parameterized using a chaotic map that generates data, an entropy builder that is used to periodically change the parameters of the map and a parameter change interval, which is the number of iterations after which the entropy builder will change the generator’s parameters. The system is implemented in C++ and evaluated using the TestU01 and NIST RNG statistical tests. The same implementation is used for a stream cipher that can encrypt and decrypt

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Li, Weishu, Yuxiu Zhao, Qi Wang, and Jian Zhou. "Twenty Years of Entropy Research: A Bibliometric Overview." Entropy 21, no. 7 (2019): 694. http://dx.doi.org/10.3390/e21070694.

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Entropy, founded in 1999, is an emerging international journal in the field of entropy and information studies. In the year of 2018, the journal enjoyed its 20th anniversary, and therefore, it is quite reasonable and meaningful to conduct a retrospective as its birthday gift. In accordance with Entropy’s distinctive name and research area, this paper creatively provides a bibliometric analysis method to not only look back at the vicissitude of the entire entropy topic, but also witness the journal’s growth and influence during this process. Based on 123,063 records extracted from the Web of Sc

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23

Faisal M., Lahieb Faisal M. "Batch Sorption of Copper (II) Ions from Simulated Aqueous Solution by Banana Peel." Al-Khwarizmi Engineering Journal 12, no. 4 (2017): 117–25. http://dx.doi.org/10.22153/kej.2016.05.004.

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This research presents the possibility of using banana peel (arising from agricultural production waste) as biosorbent for removal of copper from simulated aqueous solution. Batch sorption experiments were performed as a function of pH, sorbent dose, and contact time. The optimal pH value of Copper (II) removal by banana peel was 6. The amount of sorbed metal ions was calculated as 52.632 mg/g. Sorption kinetic data were tested using pseudo-first order, and pseudo-second order models. Kinetic studies showed that the sorption followed a pseudo second order reaction due to the high correlation c

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Mukarram, Muhammad, M. Awais Munir, Mohammad Mujahid, and Khurram Yaqoob. "Systematic Development of Eutectic High Entropy Alloys by Thermodynamic Modeling and Experimentation: An Example of the CoCrFeNi-Mo System." Metals 11, no. 9 (2021): 1484. http://dx.doi.org/10.3390/met11091484.

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Face centered cubic (FCC) high-entropy alloys (HEA) exhibit excellent ductility while body centered cubic (BCC) HEAs are characterized by high strength. Development of fine two-phase eutectic microstructure (consisting of a tough phase such as fcc and a hard phase such as bcc/intermetallic) can help in obtaining an extraordinary combination of strength and ductility in HEAs. Designing eutectic high entropy alloys is an extremely difficult task for which different empirical and non-empirical methods have been previously tried. In the present study, the possibility of developing a eutectic micro

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Zhao, Xiaowei, Kaiwei Guo, Mingting Huang, Shaojian Qiu, and Lu Lu. "ELFA-Log: Cross-System Log Anomaly Detection via Enhanced Pseudo-Labeling and Feature Alignment." Computers 14, no. 7 (2025): 272. https://doi.org/10.3390/computers14070272.

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Existing log-based anomaly detection methods typically require large volumes of labeled data for training, presenting significant challenges when applied to new systems with limited labeled data. This limitation has spurred the need for cross-system log anomaly detection (CSLAD) methods. However, current CSLAD approaches often face challenges in effectively handling distributional differences in log data across systems. To address this issue, we propose ELFA-Log, a transfer learning-based approach for cross-system log anomaly detection. By enhancing pseudo-label generation with uncertainty est

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Nadaroglu, Hayrunnisa, Ekrem Kalkan, Neslihan Celebi, and Esen Tasgin. "Removal of Reactive Black 5 from wastewater using natural clinoptilolite modified with apolaccase." Clay Minerals 50, no. 1 (2015): 65–76. http://dx.doi.org/10.1180/claymin.2015.050.1.07.

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AbstractIn this study, a clinoptilolite modified with apolaccase was used to adsorb Reactive Black 5 (RB5) dye from aqueous solution using the batch procedure. The influences of pH, contact time, temperature and absorbent dosage on the adsorption were investigated. The optimum adsorption was obtained at pH = 6, contact time = 60 min, temperature = 25ºC and adsorbent dosages of 1.62 and 1.59 mg/50 mL per gram of clinoptilolite and of apolaccase-modified clinoptilolite (LMC), respectively). The adsorption experimental data fitted both the Langmuir and Freundlich isotherm models well. In addition

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Bai, Kewu, Chee Koon Ng, Ming Lin, et al. "Short-range ordering heredity in eutectic high entropy alloys: A new model based on pseudo-ternary eutectics." Acta Materialia 243 (January 2023): 118512. http://dx.doi.org/10.1016/j.actamat.2022.118512.

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Hosogi, Shunsuke, Shuki Onoue, Tomoko Kuno, et al. "High Temperature Deformation of Harmonic Structure Designed CrMnFeCoNi High Entropy Alloy." Materials Science Forum 1107 (December 6, 2023): 67–72. http://dx.doi.org/10.4028/p-8ybyqh.

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The Harmonic Structure (HS) is a recently introduced concept that paves the way for engineering metallic materials to achieve superior mechanical performance. They consist of soft, coarse-grained regions surrounded in three dimensions by an interconnected network of hard, ultra-fine grained regions. In addition, from a structural materials point of view, high entropy alloys have attracted attention due to their unique mechanical properties. In the present study, the HS design was applied to a high entropy CrMnFeCoNi alloy (also called "Cantor alloy"). The HS-designed Cantor alloy was successfu

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Geroeeyan, Armin, Ali Niazi, and Elaheh Konoz. "Removal of Basic Orange 2 dye and Ni2+ from aqueous solutions using alkaline-modified nanoclay." Water Science and Technology 83, no. 9 (2021): 2271–86. http://dx.doi.org/10.2166/wst.2021.121.

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Abstract In the present research, the removal of Basic Orange 2 (BO2) dye using alkaline-modified clay nanoparticles was studied. To characterize the adsorbent, XRD, FTIR, FESEM, EDX, BET and BJH analyses were performed. The effect of the variables influencing the dye adsorption process such as adsorbent dose, contact time, pH, stirring rate, temperature, and initial dye concentration was investigated. Furthermore, the high efficiency of Ni2+ removal indicated that it is possible to remove both dye and metal cation under the same optimum conditions. The experimental data were analyzed by Langm

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Ibrahim, M. Mohammed, R. Venkatesan, and Kavikumar Jacob. "Investigating the Feasibility of Elementary Cellular Automata based Scrambling for Image Encryption." International Journal of Computer Network and Information Security 17, no. 1 (2025): 28–38. https://doi.org/10.5815/ijcnis.2025.01.03.

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This research investigates the performance of various one-dimensional cellular automata rules, namely Rule 30, Rule 150, Rule 184, Rule 105 and Rule 110, for image encryption. The proposed algorithm technique combines these CA rules to generate pseudo-random sequences for image scrambling. The effectiveness of the proposed method is evaluated using various performance metrics, including NPCR, correlation coefficient and information entropy. The results demonstrate which rule provides the best encryption performance, achieving high levels of security and resistance to statistical attacks. Howev

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T, Anusha, and Venkatesan R. "PSEUDO RANDOM KEY GENERATOR USING FRACTAL BASED TRELLIS CODED GENETIC ALGORITHM FOR IMAGE ENCRYPTION." International Journal of Network Security & Its Applications 15, no. 03 (2023): 23–32. http://dx.doi.org/10.5121/ijnsa.2023.15302.

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Cryptographic applications such as online banking, and securing medical and military data require the usage of random keys, which should remain unpredictable by adversaries. This paper focuses on the strengths and limitations of the techniques and algorithms that are used in the generation of random keys and a new method to generate random keys is proposed using fractals. Fractals are generated using the Sierpinski triangle and fed as input for Non-Deterministic Finite Automata (NDFA) to generate an Initial Vector (IV). Trellis Coded Genetic Algorithm (TCGA) code generator generates seed value

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Anusha, .T, and R. Venkatesan. "PSEUDO RANDOM KEY GENERATOR USING FRACTAL BASED TRELLIS CODED GENETIC ALGORITHM FOR IMAGE ENCRYPTION." International Journal of Network Security & Its Applications (IJNSA) 15, no. 3 (2023): 23–32. https://doi.org/10.5281/zenodo.8019742.

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Cryptographic applications such as online banking, and securing medical and military data require the usage of random keys, which should remain unpredictable by adversaries. This paper focuses on the strengths and limitations of the techniques and algorithms that are used in the generation of random keys and a new method to generate random keys is proposed using fractals. Fractals are generated using the Sierpinski triangle and fed as input for Non-Deterministic Finite Automata (NDFA) to generate an Initial Vector (IV). Trellis Coded Genetic Algorithm (TCGA) code generator generates seed value

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Zhang, Jixiang, Guangxia Zhang, Qiuxiang Zhou, and Lailiang Ou. "Thermodynamics, kinetics and isotherm studies on the removal of methylene blue from aqueous solution by calcium alginate." Journal of Water Reuse and Desalination 6, no. 2 (2015): 301–9. http://dx.doi.org/10.2166/wrd.2015.121.

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Calcium alginate (CA) was used as an adsorbent to remove methylene blue (MB) from aqueous solution. The effect of initial dye concentration, contact time, temperature and solution pH on the adsorption of MB onto CA was investigated by batch experiments. The percentage removal of MB decreased with increasing temperature. Comparatively high adsorption capacities were shown over a wide pH range (pH 2–11). More than 93% of MB removal was obtained within 30 min for an initial dye concentration of 1,000 mg/L at an adsorbent dose of 4 g/L. The adsorption equilibrium was investigated by the Langmuir a

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Jin, Xi, Yang Zhou, Lu Zhang, Xingyu Du, and Bangsheng Li. "A new pseudo binary strategy to design eutectic high entropy alloys using mixing enthalpy and valence electron concentration." Materials & Design 143 (April 2018): 49–55. http://dx.doi.org/10.1016/j.matdes.2018.01.057.

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Dong, Bosheng, Zhiyang Wang, Zengxi Pan, et al. "On the development of pseudo-eutectic AlCoCrFeNi2.1 high entropy alloy using Powder-bed Arc Additive Manufacturing (PAAM) process." Materials Science and Engineering: A 802 (January 2021): 140639. http://dx.doi.org/10.1016/j.msea.2020.140639.

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Sharma, Deep Raj. "A Process based Algorithm for Random Number Generation." International Journal of Silkroad Institute of Research and Training 1, no. 2 (2023): 115–17. http://dx.doi.org/10.3126/ijsirt.v1i2.61772.

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Background: Random number generation plays a crucial role in various scientific, computational, cryptographic applications and stochastic processes. This paper introduces a novel algorithm designed to address the demand for high-quality random numbers with improved statistical properties. The proposed Algorithm uses the elements of hardware-based entropy to generate random numbers for efficiency and unpredictability. Methods: Pseudo-random numbers are sequences derived from algorithms known as pseudo-random number generators (PRNGs). These generators use an initial value, or seed, to produce s

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Lu, Qing, Linlan Yu, and Congxu Zhu. "Symmetric Image Encryption Algorithm Based on a New Product Trigonometric Chaotic Map." Symmetry 14, no. 2 (2022): 373. http://dx.doi.org/10.3390/sym14020373.

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In the present work, a neotype chaotic product trigonometric map (PTM) system is proposed. We demonstrate the chaotic characteristics of a PTM system by using a series of complexity criteria, such as bifurcation diagrams, Lyapunov exponents, approximate entropy, permutation entropy, time-series diagrams, cobweb graphs, and NIST tests. It is proved that the PTM system has a wider chaotic parameter interval and more complex chaotic performance than the existing sine map system. In addition, a novel PTM based symmetric image encryption scheme is proposed, in which the key is related to the hash v

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Zhu, Zhi Ping, Ke Long Huang, and Yi Zhou. "Study on Removal of Humic Acid by Polyurethane Foam/ Activated Carbon Composites in Boiler Feedwater." Applied Mechanics and Materials 26-28 (June 2010): 452–56. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.452.

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A new type and high efficiency adsorbent was prepared with powder activated carbon and polyurethane vesicant and surfactant, which being used to adsorb humic acid (HA) in boiler feedwater. The batch adsorption experiments were carrid at different pH value, different adsorbent dosage and different initial concentration to investigate HA removal rate and adsorption capacity by as-produced adsorbent. Their adsorption kinetics experiments data was fitted with pseudo-second-order rate model, its quation was 1/qt=0.094+5.51/t, and equilibrium adsorption capacity obtained from fitting curve was 10.6m

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Xu, Guobin, Oluwole Adetifa, Jianzhou Mao, Eric Sakk, and Shuangbao Wang. "Developing Quantum Trusted Platform Module (QTPM) to Advance IoT Security." Future Internet 17, no. 5 (2025): 193. https://doi.org/10.3390/fi17050193.

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Randomness is integral to computer security, influencing fields such as cryptography and machine learning. In the context of cybersecurity, particularly for the Internet of Things (IoT), high levels of randomness are essential to secure cryptographic protocols. Quantum computing introduces significant risks to traditional encryption methods. To address these challenges, we propose investigating a quantum-safe solution for IoT-trusted computing. Specifically, we implement the first lightweight, practical integration of a quantum random number generator (QRNG) with a software-based trusted platf

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Choudhury, Goutam Ghosh, Bhabatarak Bhattacharyya, and Birendra Bijoy Biswas. "Kinetic and thermodynamic analysis of taxol-induced polymerization of purified tubulin." Biochemistry and Cell Biology 65, no. 6 (1987): 558–64. http://dx.doi.org/10.1139/o87-072.

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The kinetic and thermodynamic behavior of in vitro taxol-induced polymerization of purified tubulin has been studied. The assembly of tubulin initiated by taxol has a critical concentration of 0.1 mg/mL at 37 °C and consists of two consecutive pseudo first-order processes, a fast phase followed by a slow phase. The rate constants of the fast and slow phase polymerizations increase linearly with increasing tubulin concentration. This implies that the polymerization is a true pseudo first-order process. The In (1/t0.5) of polymerization for both fast and slow phases follows a linear function wit

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De Micco, Luciana, Maximiliano Antonelli, and Osvaldo Anibal Rosso. "From Continuous-Time Chaotic Systems to Pseudo Random Number Generators: Analysis and Generalized Methodology." Entropy 23, no. 6 (2021): 671. http://dx.doi.org/10.3390/e23060671.

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The use of chaotic systems in electronics, such as Pseudo-Random Number Generators (PRNGs), is very appealing. Among them, continuous-time ones are used less because, in addition to having strong temporal correlations, they require further computations to obtain the discrete solutions. Here, the time step and discretization method selection are first studied by conducting a detailed analysis of their effect on the systems’ statistical and chaotic behavior. We employ an approach based on interpreting the time step as a parameter of the new “maps”. From our analysis, it follows that to use them

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He, Baoyuan, and Haiyan Xue. "Adsorption behaviors of acid dye by amphoteric chitosan/gelatin composite microspheres." Water Quality Research Journal 50, no. 4 (2015): 314–25. http://dx.doi.org/10.2166/wqrjc.2015.001.

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The use of amphoteric chitosan/gelatin composite microspheres (CGMSs) has been studied as an adsorbent for the removal of Acid Red 337 (AR337) from wastewater. The adsorbent was characterized by using several methods such as scanning electron microscopy and atomic force microscope (AFM). The kinetic study was performed based on pseudo-first-order, pseudo-second-order, and intraparticle diffusion equations. It was shown that the adsorption process could be described by the pseudo-second-order equation, suggesting that the adsorption process is presumably a chemisorption. Freundlich, Langmuir, D

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Galanakis, D., E. Khatami, K. Mikelsons, et al. "Quantum criticality and incipient phase separation in the thermodynamic properties of the Hubbard model." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1941 (2011): 1670–86. http://dx.doi.org/10.1098/rsta.2010.0228.

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Transport measurements on the cuprates suggest the presence of a quantum critical point (QCP) hiding underneath the superconducting dome near optimal hole doping. We provide numerical evidence in support of this scenario via a dynamical cluster quantum Monte Carlo study of the extended two-dimensional Hubbard model. Single-particle quantities, such as the spectral function, the quasi-particle weight and the entropy, display a crossover between two distinct ground states: a Fermi liquid at low filling and a non-Fermi liquid with a pseudo-gap at high filling. Both states are found to cross over

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Shaw, M. C., and E. Young. "Rubber Elasticity and Fracture." Journal of Engineering Materials and Technology 110, no. 3 (1988): 258–65. http://dx.doi.org/10.1115/1.3226046.

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Rubber is an amorphous elastomer of high entropy that is normally treated by statistical thermodynamics instead of molecular modeling. A pseudo-amorphous model is introduced that is useful in extending true stress-true strain uniaxial tensile results to other more complex states of stressing. While the statistical thermodynamic approach is still needed to deal with thermal aspects of rubber elasticity, the new approach represents a simpler, more accurate method of dealing with mechanical properties. Fracture of rubber follows a criterion of constant engineering strain (or constant extension ra

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Duan, Yue, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, and Yinghuan Shi. "Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 11829–37. http://dx.doi.org/10.1609/aaai.v38i10.29068.

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While semi-supervised learning (SSL) has yielded promising results, the more realistic SSL scenario remains to be explored, in which the unlabeled data exhibits extremely high recognition difficulty, e.g., fine-grained visual classification in the context of SSL (SS-FGVC). The increased recognition difficulty on fine-grained unlabeled data spells disaster for pseudo-labeling accuracy, resulting in poor performance of the SSL model. To tackle this challenge, we propose Soft Label Selection with Confidence-Aware Clustering based on Class Transition Tracking (SoC) by reconstructing the pseudo-lab

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Lv, Yi Wei, Peng Wang, Xiaoyan Li, and Baolin Sha. "Adaptive pseudo-colour image enhancement algorithm for high-grey X-ray film based on pixel self-transformation." Insight - Non-Destructive Testing and Condition Monitoring 66, no. 9 (2024): 548–54. http://dx.doi.org/10.1784/insi.2024.66.9.548.

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12-bit X-ray film images with high greyscale values and low contrast, produced in the field of X-ray non-destructive testing, have the problems of a poor visualisation effect and serious greyscale loss when displayed on conventional monitors. In order to solve these problems, an APEA_PST algorithm for pseudo-colour image enhancement is proposed, which is suitable for enhancing super-8-bit X-ray film images. Firstly, in order to solve the problem that super-8-bit images cannot be displayed directly on 8-bit monitors, a RAW-Optical preprocessing algorithm, based on a log function, is designed. S

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Huang, Taiwen, Jiachen Zhang, Jun Zhang, and Lin Liu. "Effective Design of Cr-Co-Ni-Ta Eutectic Medium Entropy Alloys with High Compressive Properties Using Combined CALPHAD and Experimental Approaches." Applied Sciences 11, no. 13 (2021): 6102. http://dx.doi.org/10.3390/app11136102.

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Alloy design of Cr-Co-Ni-Ta eutectic medium entropy alloys (EMEAs) was performed through a CALPHAD method coupled with experimental study, with the aim to attain high phase stability as well as excellent mechanical properties. Based on calculated pseudo-binary diagram, CrCoNiTax (x = 0.1, 0.3, 0.4, 0.5, 0.7) medium entropy alloys were investigated. Two phases, FCC solid solution and Laves phase, were identified in the alloys. With increasing Ta content, the volume fraction of hard and brittle Laves phase increased, microstructure changed from hypoeutectic (Ta0.1, Ta0.3) to eutectic (Ta0.4) and

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Chakravarthy, Adithi D., Dilanga Abeyrathna, Mahadevan Subramaniam, Parvathi Chundi, and Venkataramana Gadhamshetty. "Semantic Image Segmentation Using Scant Pixel Annotations." Machine Learning and Knowledge Extraction 4, no. 3 (2022): 621–40. http://dx.doi.org/10.3390/make4030029.

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The success of deep networks for the semantic segmentation of images is limited by the availability of annotated training data. The manual annotation of images for segmentation is a tedious and time-consuming task that often requires sophisticated users with significant domain expertise to create high-quality annotations over hundreds of images. In this paper, we propose the segmentation with scant pixel annotations (SSPA) approach to generate high-performing segmentation models using a scant set of expert annotated images. The models are generated by training them on images with automatically

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Szmalko, David, Richard A. Evans, Jessirie Dilag, and Stuart Bateman. "Synthesis of Cyclic Oligomers of Polyether Ketone Ketone (PEKK) for Ring-Opening Polymerisation (ROP) Applications." Polymers 16, no. 24 (2024): 3465. https://doi.org/10.3390/polym16243465.

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Entropy-Driven Ring-Opening Polymerisation represents an attractive mechanism to produce high-performance polymeric materials as it can be performed using neat, low-viscosity precursors and without the production of by-products or release of volatiles. Macrocyclic oligomers (MCOs) of polyether ketone ketone (PEKK) were synthesised and investigated as an in situ method of forming this high-performance thermoplastic. Cyclic oligomers were successfully synthesised by pseudo-high dilution methods, and the reaction conditions were optimised through careful addition of starting materials and carbona

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Tan, Yiming, Jinshan Li, Jun Wang, and Hongchao Kou. "Effect of Mn Addition on the Microstructures and Mechanical Properties of CoCrFeNiPd High Entropy Alloy." Entropy 21, no. 3 (2019): 288. http://dx.doi.org/10.3390/e21030288.

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CoCrFeNiPdMnx (x = 0, 0.2, 0.4, 0.6, 0.8) high entropy alloys (HEAs) were prepared and characterized. With an increase in Mn addition, the microstructures changed from dendrites (CoCrFeNiPd with a single face-centered-cubic (FCC) phase) to divorced eutectics (CoCrFeNiPdMn0.2 and CoCrFeNiPdMn0.4), to hypoeutectic microstructures (CoCrFeNiPdMn0.6), and finally to seaweed eutectic dendrites (CoCrFeNiPdMn0.8). The addition of Mn might change the interface energy anisotropy of both the FCC/liquid and MnPd-rich intermetallic compound/liquid interfaces, thus forming the seaweed eutectic dendrites. Th

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