READABILITY LEVEL OF “BAHASA INGGRIS” TEXTBOOK FOR THE SEVENTH GRADE STUDENTS by Fahriah Fahriah, Puji Sri Rahayu

“…The sample is chosen by using random-sampling techniques which is taken 6 students in each class.  …”
Get full text

Joint beam hopping and coverage control optimization algorithm for multibeam satellite system by Guoliang XU, Feng TAN, Yongyi RAN, Feng CHEN

“…To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimization problem with the objective maximizing the system throughput and minimizing the packet loss rate of the MBS.Secondly, the MBS environment was characterized as a multi-dimensional matrix, and the objective problem was modelled as a Markov decision process considering stochastic communication requirements.Finally, the objective problem was solved by combining the powerful feature extraction and learning capabilities of deep reinforcement learning.In addition, a single-intelligence polling multiplexing mechanism was proposed to reduce the search space and convergence difficulty and accelerate the training of BHCC.Compared with the genetic algorithm, the simulation results show that BHCC improves the throughput of MBS and reduces the packet loss rate of the system, greedy algorithm, and random algorithm.Besides, BHCC performs better in different communication scenarios compared with a deep reinforcement learning algorithm, which do not consider the adaptive beam coverage.…”
Get full text

Workspace Analysis of Auxiliary Slag Cleaning Device of TBM based on Monte Carlo Method by Jia Liangfei, Ma Chaofeng, Liu Kai

“…Aiming at the current rock burst problems encountered in hard rock excavation construction，a set of six-degree-of-freedom automatic excavation equipment which can replace the current artificial slag and can work well in a narrow working space is designed.The specific design is on the basis of the traditional excavating machine，two telescopic arm structures and a swing arm structure are added，and each rod length and each joint variable are set by kinematically modeling the mechanical arm.The design overcomes the problem of the small amount of operable space and the protection of the supporting I-beam for the pre-supported tunnel，and expands the working space of the conventional excavation equipment in a narrow space.The overall structure of the excavation equipment and the kinematics modeling process are expounded.By using the characteristics of Monte Carlo method in random number application，the workspace of this device is simulated.At the same time，the joint parameters are reversed and verified.The results are in line with the expected joint operating range.The slag cleaning device can improve the working efficiency of cleaning the gravel caused by rock burst，and can reduce the construction cost of the hard rock tunneling.…”
Get full text

Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…Recent development of machine learning models has increasingly developed interest in forecasting and predicting the magnitude of earthquakes. In this work, Random Forest Regressor (RFR), Multi-Layer Perceptron Regressor(MLPR), and Support Vector Regression (SVR) models were employed to predict the magnitude of greater than 6 mb earthquakes that occurred in the year 2015 in the central Himalaya. …”
Get full text

Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm by Guojun Chen, Xiangdong Qin, Ningsheng Fang, Wenbo Xu

“…In this paper, simulation experiments are carried out in two scenarios of regular deployment and random deployment of WSN nodes. The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm.…”
Get full text

A taxonomical study on electrophoretic pattern of blood serum protein of some fish of karakaya dam lake by Muhittin Yılmaz, Yusuf Türköz, A. Ümit Erdemli, Ercan Kalkan, Yılmaz Çİğremiş

“…Study was carried between june and october in 1997. Using the Random Sampling Method, 92 C. capoeta umbla and 86 C. trutta which the same age and sex were used. …”
Get full text

The impact of ESG on firm value: The moderating role of cash holdings by Omnia Ahmed, Bashar Abu Khalaf

“…This research applied panel regression (fixed and random effect techniques) to investigate the relationships; based on the significant result of a Hausman test, the fixed effect regression has been analyzed. …”
Get full text

Metode Pembelajaran Make A Match Dan Pengaruhnya Terhadap Hasil Belajar IPA by Rina Hidayati Pratiwi

“…We use purpose sampling technics to definite research class and simple random sampling to definite part of sample of each class. …”
Get full text

Identificación de las principales enfermedades de la planta del café (Coffea arabica) a través de visión artificial by Oscar Eder Flores Colorado, Jair Cervantes Canales, Farid García-Lamont, José Sergio Ruiz Castilla

“…Por último, se implementaron cuatro algoritmos de clasificación entre los que se encuentran support vector machine, random forest, Naive Bayes y redes neuronales artificiales backpropagation. …”
Get full text

Big Data Approach to Sentiment Analysis in Machine Learning-Based Microblogs: Perspectives of Religious Moderation Public Policy in Indonesia by Mhd. Furqan, Ahmad Fakhri Ab. Nasir

“…These include Naïve Bayes, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Bagging Classifier, Random Forest, and Gradient Boosting Classifier. The test results showed the highest accuracy is Gradient Boosting reached 82.27%. …”
Get full text

An Empirical Path-Loss Model for Wireless Channels in Indoor Short-Range Office Environment by Ye Wang, Wen-jun Lu, Hong-bo Zhu

“…The model is characterized as the path loss to distance with a Gaussian random variable X due to the shadow fading by using linear regression. …”
Get full text

Deep soil contributions to global nitrogen budgets by Maya Almaraz, Chao Wang, Michelle Y. Wong

“…Here, we used observations from 280 deep soil profiles (2-205 m) across a wide array of ecosystem and land cover types to seek insight into the full geospatial variation of deep soil nitrate. Using a random forest machine learning approach we estimate a total deep soil nitrate pool of 15.2 ( ± 1.1 SD) Pg of N. …”
Get full text

An Improved Differential Evolution Solution for Software Project Scheduling Problem by A. C. Biju, T. Aruldoss Albert Victoire, Kumaresan Mohanasundaram

“…The superiority of the proposed method is experimented and demonstrated by solving the SPSP on 50 random instances and the results are compared with some of the techniques in the literature.…”
Get full text

Effect of Outreach on Financial Sustainability and Profitability of Saving and Credit Cooperatives in Eastern Ethiopia by Mekonnen Yitayaw

“…The analysis revealed that SACCOs in Eastern Ethiopia are profitable but not financially sustainable. Random effect model results show that gross loan to asset ratio, yield on gross loan portfolio, managerial and operational efficiency has statistically significant and positive effect on the financial sustainability of SACCOs, while average loan size has statistically significant but negative effect. …”
Get full text

Scalable Full-Stack Benchmarks for Quantum Computers by Jordan Hines, Timothy Proctor

“…We use our method to create random circuit benchmarks, including a computationally efficient version of the quantum volume benchmark, and an algorithm-based benchmark that uses Hamiltonian simulation circuits. …”
Get full text

Calculation of Temperature Action of Flat Steel Box Girder of Long-Span Bridges Using a Joint Model of ARMA Mean and GARCH Variance by Jun Yang, Dacheng Zhao, Bin Chen, Gaoxin Wang

“…The seasonal and nonstationary trend terms are described using the weighted sum of a series of basic elementary functions. The random fluctuation term is represented by a joint model of ARMA mean and GARCH variance. …”
Get full text

AN APPROXIMATE METHOD FOR LARGE-SIZE STRUCTURAL PART RELIABLE LIFE PREDICTION by SUN WeiGuang, REN JunGang, HU JieXin, XIE LiYang

“…Such a part should be taken as a serial system if any high stress zone failure means to part failure. As a random variable, the fatigue life of a complex structural part with many high stress zones does not equal to the fatigue life of any one high stress zone of the part. …”
Get full text

Clinical Outcomes of Specific Immunotherapy in Advanced Pancreatic Cancer: A Systematic Review and Meta-Analysis by Jiang Chen, Guo Xiao-Zhong, Xing-Shun Qi

“…The pooled analysis was performed by using the random-effects model. We found that significantly improved OS was noted for PC patients utilizing specific immunotherapy and an improved immune response was also observed. …”
Get full text

THE RELATIONSHIP BETWEEN FAMILY FUNCTION AND QUALITY OF LIFE IN THE ELDERLY IN BAGELEN VILLAGE by Sulastri Sulastri, Dedek Saiful Kohir

“…The sampling technique used was multistage random sampling, the number of samples was 95 people. …”
Get full text

Choosing between Alternative Motor Insurance Policies: A Discrete Choice Experiment by Charles Kwofie, Dieu Donne Yormekpe, Samuel Osei Mensah, Priscilla Botchway

“…The research expounds the use of Discrete Choice Experiment (DCE) approach and Random Utility Theory (RUT) in analyzing alternative motor insurance policy choice behaviour for drivers in Sunyani municipality in Brong-Ahafo, Ghana. …”
Get full text