CNN Accelerator Performance Dependence on Loop Tiling and the Optimum Resource-Constrained Loop Tiling by Chester Sungchung Park, Sungkyung Park

“…The analysis provides a useful insight into how to determine the tile sizes to achieve the required performance while avoiding an unnecessary static random access memory (SRAM) size increase. The paper also deals with the optimum resource-constrained loop tiling for CNN accelerators. …”
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Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization by Fujun Pei, Mei Wu, Simin Zhang

“…However, particle impoverishment is inevitably because of the random particles prediction and resampling applied in generic particle filter, especially in SLAM problem that involves a large number of dimensions. …”
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Hubungan perilaku self harm dengan perilaku agresif pada remaja awal di smp negeri 25 banjarmasin by Abdur Rahman, Rudi Haryadi

“…Tujuan utama dari penelitian ini adalah menjelaskan hubungan antara perilaku self harm dengan perilaku agresif. Dengan menggunakan random sampling, jumlah subyek penelitian adalah 60 remaja laki-laki dan perempuan diambil dari sebuah SMP Negeri di banjarmasin, Kalimantan Selatan. …”
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Monte Carlo Based Personalized PageRank on Dynamic Networks by Zhang Junchao, Chen Junjie, Jiancheng Song, Rong-Xiang Zhao

“…In a dynamic network, first, we do a random walk starting from each node and save the performed walks into a fingerprint database; second, we update the fingerprint database in a fixed time interval with our proposed update algorithm; finally, when a query is issued by a user, we estimate the Personalized PageRank vector by our proposed approximation algorithm. …”
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On the Efficiency of the Multi-Channel Analysis of Surface Wave Method for Shallow and Semi-Deep Loose Soil Layers by Kasgin Khaheshi Banab, Dariush Motazedian

“…We have found that, of the inversion procedures of MASW data, the random search inversion technique provides better results than the analytical generalized inversion method.…”
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BAYESIAN FINITE ELEMENT MODEL UPDATING BASED ON MARKOV CHAIN POPULATION COMPETITION by YE Ling, JIANG HongKang, ZOU YuQing, CHEN HuaPeng, WANG LiCheng

“…The traditional Markov Chain Monte Carlo（MCMC） simulation method is inefficient and difficult to converge in high dimensional problems and complicated posterior probability density.In order to overcome these shortcomings，a Bayesian finite element model updating algorithm based on Markov chain population competition was proposed.First，the differential evolution algorithm was introduced in the traditional method of Metropolis-Hastings algorithm.Based on the interaction of different information carried by Markov chains in the population，optimization suggestions were obtained to approach the objective function quickly.It solves the defect of sampling retention in the updating process of high-dimensional parameter model.Then，the competition algorithm was introduced，which has constant competitive incentives and a built-in mechanism for losers to learn from winners.Higher precision was obtained by using fewer Markov chains，which improves the efficiency and precision of model updating.Finally，a numerical example of finite element model updating of a truss structure was used to verify the proposed algorithm in this paper.Compared with the results of standard MH algorithm，the proposed algorithm can quickly update the high-dimensional parameter model with high accuracy and good robustness to random noise.It provides a stable and effective method for finite element model updating of large-scale structure considering uncertainty.…”
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Enhancing Credit Risk Decision-Making in Supply Chain Finance With Interpretable Machine Learning Model by Guanglan Zhou, Shiru Wang

“…Specifically, we applied Extreme Gradient Boosting (XGBoost), Random Forest (RF), Least Squares Support Vector Machine (LSSVM) and Convolutional Neural Network (CNN) models for risk assessment. …”
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Media animasi Powtoon: meningkatkan literasi digital guru by Rizkayeni Marta, Muhammad Giatman, Hasan Maksum, Rezkiyana Hikmah

“…The research sample comprises 19 teachers selected using random sampling techniques. The instrument used is a pretest-posttest exam, which will be analyzed using a paired sample t-test and N-gain score. …”
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A Statistical Channel Model for Stochastic Antenna Inclination Angles by Gang Liu, Ming Zhang, Yaming Bo

“…The change in antenna inclination angles with the random actions will result in varied received signal intensity. …”
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Capturing the Signature of Topological Evolution from the Snapshots of Road Networks by Gi Ung Jang, Jin Chul Joo, Jeryang Park

“…This modified Lorenz curve enables calculating the relative impact of intensive attacks to random failures and shows that a more self-organized road network tends to become more vulnerable to selective attacks.…”
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A lightweight and precision dual track 1D and 2D feature fusion convolutional network for machinery equipment fault diagnosis by Chaoquan Mo, Ke Huang, Houxin Ji

“…By constructing a one-dimensional and two-dimensiona dual-channel feature information fusion convolutional network and introducing a Convolutional Block Attention Mechanism, we utilize Random Overlapping Sampling Technique to process raw vibration signals. …”
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THE RELATIONSHIP OF KNOWLEDGE ABOUT COVID-19 WITH COMMUNITY PERCEPTIONS OF THE COVID-19 VACCINATION PROGRAM by Ninik Murtiyani, Yulianto Yulianto, Lailatul Adhimah

“…The sampling method uses simple random sampling, data collection uses a questionnaire. …”
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Modulation of magnetic anisotropy and spin–orbit interaction by electrical current in FeCoB nanomagnets by Vadym Zayets

“…The squared-current contribution induces substantial anisotropy field changes, up to 30%–50% at typical magnetic random access memory (MRAM) recording currents, leading to thermally activated magnetization reversal and data recording. …”
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A Hybrid Grey Prediction Model for Small Oscillation Sequence Based on Information Decomposition by Meng Zhou, Bo Zeng, Wenhao Zhou

“…Based on the idea of information decomposition, the new method employed grey prediction model to capture the trend characteristic of complex system, and ARMA model was applied to describe the random oscillation characteristic of the system. Crops disaster area in China was selected as a case study and the relevant historical eight-year data published by government department were substituted to the proposed model. …”
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A comparison of personality type congruence with learning achievement of students from the primary school teacher education program at Adzkia University by Irwan Prayitno, Ismira Ismira

“…The research sample comprised 161 selected using a simple random sampling technique. The research results show that 60% of the students' personality is congruent with their job as a teacher, whereas the remaining 40% shows the opposite. …”
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Organizational creativity strategy and strategic partnership in improving positional advantage of vocational high schools in west java by Sundusiah Sundusiah, Agus Rahayu, Disman Disman, Edi Suryadi, Muhamad Arief Ramdhany

“…Sampling was carried out using a stratified random sampling technique. Data were analyzed using the Partial Least Squares (PLS) method, using a Likert measurement scale to assess the variables in the study. …”
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Quantum entanglement in nuclear fission by Yu Qiang, Junchen Pei, Kyle Godbey

“…Both sawtooth slopes from particle-number projections are found to be steep – a feature which can be alleviated by random fluctuations. The persistent entanglement is mainly due to non-adiabatic dynamics since the final splitting is so fast that the non-localization of wave functions is kept during the separation. …”
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The dynamics of higher-order novelties by Gabriele Di Bona, Alessandro Bellina, Giordano De Marzo, Angelo Petralia, Iacopo Iacopini, Vito Latora

“…We then propose to model an exploration process as a random walk on a network in which the possible connections between elements evolve in time. …”
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Application of Mobile Technology in College English Vocabulary Teaching by Bing He

“…Finally, set up the database according to the English vocabulary of English words field, calculating Euclidean distance to determine the relationship between them, and then through random set classification vocabulary data types, calculate the similarity degree of the data extraction vocabulary data characteristics and remove high similarity of the English vocabulary data to reduce the difficulty of system storage. …”
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泰尔康RA系列自动生化分析仪(Technicon RA system)惰性液体回收及应用 by 范侠

“…惰性液体(random access fluid)是美国泰尔康公司(Technicon Corporation)高科技专利产品,用以分隔样本和试剂免去水洗系统,使RA系列自动生化分析仪达到最少的交叉污染。…”
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