Serviceability Properties of Solid Buoyancy Materials for Deep-Sea HOV by Hailong Zhang, Guoliang Ma, Zhiwei Zhu

“…The results show that the water absorption characteristics of solid buoyant materials are affected by hydrostatic pressure, and the water absorption characteristics increase exponentially as the hydrostatic pressure increases. …”
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Magnetochiral charge pumping due to charge trapping and skin effect in chirality-induced spin selectivity by Yufei Zhao, Kai Zhang, Jiewen Xiao, Kai Sun, Binghai Yan

“…Charge trapping is governed by the non-Hermitian skin effect, where dissipation leads to exponential wavefunction localization at the ferromagnet-chiral molecule interface. …”
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LDPC-cat codes for low-overhead quantum computing in 2D by Diego Ruiz, Jérémie Guillaud, Anthony Leverrier, Mazyar Mirrahimi, Christophe Vuillot

“…Two main avenues to reduce this overhead are (i) low-density parity check (LDPC) codes requiring very few additional qubits to correct errors (ii) cat qubits where bit-flip errors are exponentially suppressed by design. In this work, we combine both approaches to obtain an extremely low overhead architecture. …”
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Information scrambling with higher-form fields by Karunava Sil, Sourav Maji, Stavros Christodoulou, Abhishek Chowdhury

“…Abstract The late time behavior of OTOCs involving generic non-conserved local operators show exponential decay in chaotic many body systems. However, it has been recently observed that for certain holographic theories, the OTOC involving the U(1) conserved current for a gauge field instead varies diffusively at late times. …”
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Traffic Anomaly Detection Algorithm for Wireless Sensor Networks Based on Improved Exploitation of the GM(1,1) Model by Qin Yu, Jibin Lyu, Lirui Jiang, Longjiang Li

“…Based on our systematical researches on the characteristics of WSN traffic, the causes of WSN abnormal traffic, and latest related research and development, we better exploit the GM(1,1) model following four guidelines: using a sliding window to determine historical data for modeling, optimizing initial value of one-order grey differential equation, making traffic prediction by short step exponential weighted average method, and judging whether the traffic of the next moment is abnormal by Euclidean distance. …”
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Method for Determining Spontaneous Combustion Risk in Roof Cutting Gob-Side Entry Retaining U + L Ventilation Goaf for Mining Safety by Zongxiang Li, Dongjie Hu, Yu Liu, Yuhang Li, Chuntong Miao

“…The continuous oxygen consumption rate of the coal samples had a negative exponential distribution, and the oxygen volume fraction in the smothering zone (critical) was 15%. …”
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Parameter Optimization on the Three-Parameter Whitenization Grey Model and Its Application in Simulation and Prediction of Gross Enrollment Rate of Higher Education in China by Jihong Sun, Hui Li, Bo Zeng, Xiaoyun Zhao, Chuanhui Wang

“…This study combines the Three-parameter Whitenization Grey Model (TWGM(1,1)), which fits the inhomogeneous exponential law sequence, and the Particle Swarm Algorithm (PSA) to optimize the order and background value coefficients under the condition of the minimum sum of squares of simulation errors, and hence, to solve the problem that the cumulative order is fixed to “1” and the background value coefficient value is fixed to “0.5.” …”
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Strength Characteristics of Cement Treated and Expanded Polystyrene Mixed Lightweight of Waste Soil from the Construction Site of a Yangtze River Bridge in China by Weihua Lu, Jianyun Wang, Yongxing Zhang

“…With different mixture ratios and additives of the cement treated and expanded polystyrene mixed lightweight, a series of cubic samples were tested by the unconfined compressive strength test, and collections of standard cylinder samples prepared by hand were inspected by the conventional triaxial shear test. Then, a good exponential relationship between the uniaxial compressive strength and the cement mixing ration was founded, and a logarithmic relationship was captured between the compressive strength and curing time within a period of 28 days after the specimens were made. …”
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A Nanotechnology Enhancement to Moore's Law by Jerry Wu, Yin-Lin Shen, Kitt Reinhardt, Harold Szu, Boqun Dong

“…Intel Moore observed an exponential doubling in the number of transistors in every 18 months through the size reduction of transistor components since 1965. …”
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Dust deposition characteristics on photovoltaic arrays investigated through wind tunnel experiments by Juan Wang, Weiwei Hu, Yunyun Wen, Fei Zhang, Xingcai Li

“…The results indicate that the dust accumulation on the first panel exponential growth with increasing tilt angle, incoming flow angles, and height, while subsequent panels displayed a trend of initial increase followed by a decrease, with a maximum increasing ratio achieved at specific installation configurations, the difference of dust mass on each panel can even be several times. …”
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IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

“…In recent years, network traffic increases exponentially with the iteration of devices, while more and more attacks are launched against various applications.It is significant to identify and classify attacks at the traffic level.At the same time, with the explosion of Internet of Things (IoT) devices in recent years, attacks on IoT devices are also increasing, causing more and more damages.IoT intrusion detection is able to distinguish attack traffic from such a large volume of traffic, secure IoT devices at the traffic level, and stop the attack activity.In view of low detection accuracy of various attacks and sample imbalance at present, a random forest based intrusion detection method (Resample-RF) was proposed, which consisted of three specific methods: optimal sample selection algorithm, feature merging algorithm based on information entropy, and multi-classification greedy transformation algorithm.Aiming at the problem of unbalanced samples in the IoT environment, an optimal sample selection algorithm was proposed to increase the weight of small samples.Aiming at the low efficiency problem of random forest feature splitting, a feature merging method based on information entropy was proposed to improve the running efficiency.Aiming at the low accuracy problem of random forest multi-classification, a multi-classification greedy transformation method was proposed to further improve the accuracy.The method was evaluated on two public datasets.F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance.The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the application, protect the IoT devices, and thus protect the related users.…”
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Analysis of the Impact of Different Forecasting Techniques on the Inventory Bullwhip Effect in Two Parallel Supply Chains with a Competition Effect by Xigang Yuan, Xiaoqing Zhang, Dalin Zhang

“…., the moving average technique (MA), the exponential smoothing technique (ES), and the minimum mean square error technique (MMSE)). …”
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Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

“…In this study, a method for residual subsidence prediction using an Exponential Smoothing Long Short-Term Memory (EsLSTM) model is proposed. …”
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Barriers and requirements for adaptation of farmers in mountainous areas to climate change by Hossein jahantigh, Amir Bakhshi, Rezvan Ghorbani salkhord

“…To analyze the data, descriptive statistics and exponential exploratory co-integration rank test (Johansen method) were used. …”
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Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey by Mehmet Ali Hinis, Mehmet Selim Geyikli

“…This study is based on the effect of three different parameter estimation methods on the calculation process, as well as the comparison of the SPI results calculated based on the default Gamma distribution and the distribution with the best ability to represent the 3-and 12-month consecutive summed rainfall data among the 15 candidate distributions namely Gamma (GAM), Generalized Extreme Value (GEV), Pearson Type III (P III), Log Pearson Type III (LP III), two-parameter Lognormal (LN2), three-parameter Lognormal (LN3), Generalized Logistic (GLOG), Extreme Value Type I (EVI), Generalized Pareto (GPAR), Weilbul (W), Normal (N), Exponential (EXP), Logistic (LOG), four-parameter Wakeby (WK4), and five-parameter Wakeby (WK5) distributions. …”
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Analysis and Evaluation of the Effect of Different Connection Types on Water Quality of Huixian Wetland by WEI Chunyi, XU Baoli, MA Huijuan, DAI Junfeng, FANG Rongjie, XU Jueming, ZOU Chuanlin

“…In order to figure out the effect of different connection types on the water environment of wetlands,the riverside wetland,river-connected pond wetland,and isolated pond wetland in Huixian town,Guilin city,were taken as the research objects.The single factor evaluation method,comprehensive pollution index method,and universal exponential formulas for logarithmic power functions were used to evaluate water quality and eutrophication of the wetlands.The results showed that:① the concentrations of ammonia nitrogen (NH⁺₄-N),nitrate nitrogen (NO₃-N),total nitrogen (TN),total phosphorus (TP),and chemical oxygen demand (COD_Cr) in Huixian wetland were 0.07~1.22、0.01~1.24、0.45~3.95、0.04~0.29、6.19~120.28 mg/L,respectively.The average concentration of NH⁺₄-N and TN in the riverside wetland was higher than that of the other wetlands,while the concentration of NO₃-N in the river-connected pond wetland was the highest.Moreover,the concentration of COD_Crin the isolated pond wetland was the highest,and its TP concentration had the most significant fluctuation;② The water quality in Huixian wetland with different connection types was defined as inferior class V,with TN and COD_Cr as the major water quality factors exceeding the standard,and the wetlands all were in eutrophication.This study can provide a scientific basis for water environment governance and restoration of different wetlands in Huixian.…”
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Approximate Solutions, Thermal Properties, and Superstatistics Solutions to Schrödinger Equation by Ituen Okon, Clement Onate, Ekwevugbe Omugbe, Uduakobong Okorie, Akaninyene Antia, Michael Onyeaju, Chen Wen-Li, Judith Araujo

“…In this work, we apply the parametric Nikiforov-Uvarov method to obtain eigensolutions and total normalized wave function of Schrödinger equation expressed in terms of Jacobi polynomial using Coulomb plus Screened Exponential Hyperbolic Potential (CPSEHP), where we obtained the probability density plots for the proposed potential for various orbital angular quantum number, as well as some special cases (Hellmann and Yukawa potential). …”
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Analysis and Simulation of Intervention Strategies against Bus Bunching by means of an Empirical Agent-Based Model by Wei Liang Quek, Ning Ning Chung, Vee-Liem Saw, Lock Yue Chew

“…The EMB model is an agent-based model which utilizes the positional and temporal data of the buses obtained from the Global Positioning System (GPS) to constitute (1) a set of empirical velocity distributions of the buses and (2) a set of exponential distributions of interarrival time of passengers at the bus stops. …”
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Transient Thermal Cooling of Electronics Systems using Functional Graded Fins: Hybrid Computational Analysis by Akinwale Emmanuel Jemiseye, Gbeminiyi Musibau Sobamowo, Olayiwola Olatunji Mayowa

“…The fin temperature under quadratic-law heat conductivity of the passive device shows an enhanced performance of lower thermal distribution than the linear- and exponential-law heat conductivity.  Ultimately, the study provides a very useful in the design of the fin with FGM. …”
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Dynamic Prediction Model of Multisource Gas Emissions in a Fully Mechanized Top Coal Caving Based on the Coal Particle Size Distribution by Han Gao, Xuanping Gong, Xiaoyu Cheng, Rui Yu

“…The comprehensive emission intensity of coal mining and caving can be described by an exponential function. The initial emission intensity of coal mining is observed to exceed that of coal caving, while the attenuation laws of the two are essentially equal, and the majority of the gas emission is completed within 5 min. …”
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