bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring the variability of cement compressive strength using Multivariate Exponentially Weighted Moving Covariance Matrix (MEWMC) control chart
Authors: Qori’atunnadyah M , Wibawati  , Ahsan M , Khusna H 
Published: March 2021

Abstract
Cement quality plays an important role in ensuring the infrastructure development of a nation. PT “X” is a business entity engaged in cement production. The high demand for cement has driven PT “X” to constantly improve the quality under the established standards. In general, the quality of cement is determined by the compressive strength of cement measure on the 3rd, 7th, and 28th days. In this paper, the MEWMC control chart is used to monitor the compressive strength of cement. MEWMC is an exponentially weighted control chart for monitoring the stability of the covariance matrix of a process. Using the optimum weighting value λ is 0.1 in phase two, the monitoring results show that the cement quality has been statistically controlled or there is no process shift.
Decentralized extended Kalman filter of multi-robot position
Authors: Apriliani E , Mardlijah  , Arif D K , Fadhilah H N 
Published: March 2021

Abstract
This paper will discuss the estimation of the multi-robot position. It may be difficult for all sensors to submit their observations due to communication constraints on the multi-robot system. Thus, in this paper, we will estimate the position of each robot with limited communication between robots using decentralized estimation. Since the multi-robot system is non-linear, the extended Kalman filter is used as an estimation method. The combination of decentralized estimation and extended Kalman filter is called a decentralized extended Kalman filter. In the multi-robot system, each robot is represented as a node that makes its prediction. Assumed that some of the nodes will interact with their closest neighbors, so the measurement information will be transferred. Based on simulation results, the decentralized extended Kalman filter algorithm runs well for estimation in a multi-robot position.
Quality Control of Water Production Process Using Multivariate Control Charts
Authors: Trimardiani Y , Wibawati  , Akbar M S , Suhartono  , Prastyo D D 
Published: March 2021

Abstract
Water is very important for life, no life in the world can exist without the availability of water. Turbidity, organic substance, and chlorine residual are the main characteristics of water quality. To monitor the quality of a water production process, Multivariate Exponentially Weighted Moving Covariance Matrix (MEWMC) control chart is used for monitoring the stability of the covariance matrix of a process, and Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is used for monitoring the stability of the mean vector of a process. In this study, the optimum λ for the MEWMC and MEWMA control chart for the water production process during the dry season and the rainy season is λ = 0.1. The variability of water production process during both dry and rainy seasons is in control, while the mean of water production process during both dry and rainy seasons is not in control. Based on the analysis of process capability, it is known that the water production process during the dry season and rainy season is capable of producing water with turbidity level that meets the specification limit, but is not capable to produce water with organic substance and chlorine residual that matches the specification limit.
Buckling analysis of Functionally Graded Material (FGM) square plates using Quadrilateral Element
Authors: Sidara S C X , Maknun I J , Katili I 
Published: March 2021

Abstract
Functionally Graded Material in one type of material that currently gets much attention in the civil engineering field because it is claimed as the material that can resist the high-temperature environment. FGM is consist of two or more material that continuously changed along the thickness direction of the structure. FGM is often formed by ceramic at the top of the structure that can resist the high-temperature environment and metal at the bottom of the structure that flexible and can resist the mechanical load. DKMQ Element gives a good convergence behavior in a thick and a thin plate problem. The purpose of this research is to study the convergence behavior of the DKMQ element in the buckling analysis of FGM plate under uniaxial compression. The result is a critical buckling load that will be compared to the reference. The results show that the DKMQ element gives a good result for buckling analysis on the FGM plate.
Implementation of the Gauss-Circle Map for encrypting and embedding simultaneously on digital image and digital text
Authors: Suryadi MT , Satria Yudi , Hadidulqawi Azzam 
Published: March 2021

Abstract
This paper discusses implementation of Gauss-Circle Map (GCM) in cryptography and steganography process simultaneously. Cryptography is used for securing data confidentiality, while steganography is used to protect the existence of data. The objects that used in this thesis are digital text and digital images. This research was conducted by designing algorithms for encryption and embedding simultaneously, as well as extraction and decryption simultaneously then implement it with python programming. Results obtained from the observation shows that GCM had randomness level 100% using NIST test with chosen parameter x
0
(1) = x
0
(2) = 0, α
(1) = α
(2) = 9, β
(1) = β
(2) = 0.481, K
(1) = K
(2) = 1000000, and Ω(1) = Ω(2) = 0.5. Algorithm that have been designed have varying degrees of sensitivity according to different parameters, and high key spaces that reaches 2.6244 × 101269. Encrypted image is uniformly distributed since it passes goodness of fit test. Correlation coefficient values of the stego image are at interval [0.89,1] and very close to correlation coefficient values of the cover image. However, Peak Signal to Noise Ratio (PSNR) of the stego image did not meet standard (above 40 dB). Here, the extracted-decrypted stego image have perfect similarity with the original image.
Grey Wolf Optimization algorithm with Discrete Hopfield Neural Network for 3 Satisfiability analysis
Authors: Mansor Mohd. Asyraf , Kasihmuddin Mohd Shareduwan Mohd , Sathasivam Saratha 
Published: March 2021

Abstract
An optimal learning algorithm contributes to the quality of the neuron states in the form of 3 Satisfiability logical representation during the retrieval phase of the Discrete Hopfield Neural Network. Based on that basis, we proposed a modified bipolar Grey Wolf Optimization algorithm with a Discrete Hopfield Neural Network for Boolean 3 Satisfiability analysis by manipulating the different levels of complexities. This work concerns the improvement in the learning phase which requires a robust iterative metaheuristic algorithm in minimizing the cost function of 3 Satisfiability logical representation with less iteration. Under some reasonable conditions, the proposed hybrid network will be assessed by employing several performance measures, in terms of learning errors, minimum energy evaluations, variability, and similarity analysis. To verify the compatibility of the Grey Wolf Optimization algorithm as a learning paradigm, the comparison was made with the hybrid model with an Exhaustive search. Thus, the results proved the capability of the proposed learning algorithm in optimizing the learning and generating global minimum solutions for 3 Satisfiability logic based on the analysis obtained via various performance metrics evaluation.
Inflation of Indonesia during the COVID-19 pandemic
Authors: Yuniarti D , Rosadi D , Abdurakhman  
Published: March 2021

Abstract
CoronaVirus Disease-2019 (COVID-19) pandemic has dramatically affected people’s lives in Indonesia, including the economic sector. Central Bureau of Statistics (BPS) has announced that Indonesia’s inflation tends to weaken, and in July 2020, it reached -0.01%. This change in the inflation trend was due to an increase in layoffs (PHK) and the existence of a work scheme to become Work From Home (WFH). This study intends to find a model of Indonesia’s inflation to the number of additional positive cases of COVID-19 infection using panel data regression analysis with the one-way (individual-effect) fixed-effects model approach. The data used are inflation rate data and the number of additional positive cases infected per province in Indonesia per month, from January to July 2020. Based on this inflation model, one can determine the relationship between the inflation rate and the number of additional positive cases infected. The analysis using panel data regression analysis with the one-way (individual-effect) fixed-effects model approach obtained that the increase in the number of positive cases affected Indonesia’s inflation, where each addition of one case will reduce the inflation value by 5.14 × 10−5.
Number plate recognition on vehicle using YOLO - Darknet
Authors: Setiyono Budi , Amini Dyah Ayu , Sulistyaningrum Dwi Ratna 
Published: March 2021

Abstract
Character recognition is one of the steps in the number plate recognition system. Character recognition is done to get text character data. The method used is YOLOv3 (You Only Look Once), and Darknet-53 is used as a feature extractor. In this study, the data used were number plate images derived from the extraction and cropping of motorized vehicle videos that had been taken using cellphones and cameras. Testing is done with two different models, namely the model obtained with additional preprocessing data and the model obtained without any preprocessing data. Data preprocessing is done to improve the quality of the number plate image. Testing is done on an uninterrupted number plate image dataset and a number plate image dataset with interference and a reduction of color intensity (brightness) in the image. For the model obtained from the data without preprocessing, the highest number plate recognition accuracy obtained is 80%, and the character recognition accuracy is 97.1%. Meanwhile, for the model obtained from preprocessing data, the highest number plate recognition accuracy obtained was 88%, and the character recognition accuracy was 98.2%.
A genetic algorithm for solving large scale global optimization problems
Authors: Shahab M L , Azizi F , Sanjoyo B A , Irawan M I , Hidayat N , Rukmi A M 
Published: March 2021

Abstract
There are many problems in the real world that can be modeled as large scale global optimization problems. Usually, large scale global optimization problems are global optimization problems where the dimensions are greater than or equal to 1000. In this research, we propose a genetic algorithm that can be used to solve large scale optimization problems with dimensions up to 100000. To measure the capabilities of the proposed genetic algorithm, we use five different test functions. Based on the results obtained, it can be inferred that the proposed genetic algorithm can find a good solution in a fairly short time.
Gauge symmetry origin of Bäcklund transformations for Painlevé equations
Authors: Alves V C C , Aratyn H , Gomes J F , Zimerman A H 
Published: March 2021

Abstract
We identify the self-similarity limit of the second flow of sl(N) mKdV hierarchy with the periodic dressing chain thus establishing a connection to

A

N
−
1

(

1

)

invariant Painlevé equations. The

A

N
−
1

(

1

)

Bäcklund symmetries of dressing equations and Painlevé equations are obtained in the self-similarity limit of gauge transformations of the mKdV hierarchy realized as zero-curvature equations on the loop algebra

s
l

̂

(

N

)

endowed with a principal gradation.
Effect of Nucleic Acids on the Quality Indicators of Functional Fish Products
Authors: Alekseev G V , Eliseeva S A , Bredihin S A 
Published: March 2021

Abstract
There have been proposed rational technology of combined fish-grain and fish-vegetable masses for functional nutrition. As the objects of research were selected minced raw fish fillet, minced boiled fish fillet and industrial frozen minced fillet from horse mackerel (Trachurus Trachurus L.). The studies have been carried out in accordance with the experimental design, in which the variable factors were the heat treatment time (10–15 minutes) and the temperature of treatment (82–98 ° C). It was found that the organoleptic characteristics of boiled mince from raw fillet of horse mackerel are significantly inferior to the organoleptic characteristics of minced meat from boiled fillet of horse mackerel. When comparing the data for ice cream and freshly prepared minced horse mackerel, it was found that the loss of nucleic acids in industrial minced meat is 4.6–13.1% higher (T = 82 ± 2 and 98 ± 2 ° C), the loss of dry matter is higher by 11, 3–5.8%, mass - by 8.4–14.6%. The content of the total amount of nucleic acids in industrial minced meat is 11.1% lower than in freshly prepared minced meat. Obviously, in the process of preparing products for dietary nutrition, it is preferable to use minced meat from boiled fish fillets.
Waste Management of Production and Consumption as an Element of on the Circular Economy
Authors: Kolesnik G V , Merkulina I A 
Published: March 2021

Abstract
Practical aspects of the functioning of the Russian economy in the field of production and consumption waste management are considered. The main problems inherent in the sphere of production and consumption waste management in Russia are identified. The principle of waste management of production and consumption, defined in foreign practice in the theory of management as 3R, is considered. The difference between the traditional «linear» model of economy and the closed-loop economy is shown. Some business strategies that can be supported by a closed-loop economy have been studied, namely, the «product as a service» strategy, which can be applied independently or combined with other technological solutions, and the «sharing» strategy. The conclusion is made about the need to develop digital solutions in the industry for processing production and consumption waste.
Typical Coal Mines in Hancheng Mining Area of China and its Management Reseach
Authors: Zhang Yao , Fu Shaojun , Li Ning , Hu Zaiqiang 
Published: March 2021

Abstract
In order to promote the work of prevention and management of coal mine water disaster in China, it took Panlong coal mine, Xiayukou coal mine and Xiangshan coal mine in Hancheng mining area as object of study. Methods of prevention and management of Ordovician limestone water inrush and water inrush from old and empty areas were put forward. Some examples were chosen to approve these methods’ practicability. At last, enhancing management of coal mine and improving stuffs’ comprehensive quality were proposed.
Planning exploration of the transition from “waste landfill” to “circular economy industrial park”-Take Guangzhou Xingfeng Domestic Waste Landfill Site Closure and Reconstruction Plan as an Example
Authors: Wenhong Li , Ridong Yu , Jiayi Lin 
Published: March 2021

Abstract
Under the background of high-level protection of the ecological environment and the promotion of economic “green recovery” and high-quality development after the epidemic, we will do a good job in the “14th Five-Year” ecological environment protection work, correctly handle the relationship between development and protection, and develop an environmental protection culture. It will definitely become the main line of work during the “14th Five-Year Plan” period. This article takes the closure and renovation plan of the Xingfeng domestic waste landfill in Guangzhou as an example, studies and draws on successful cases at home and abroad, and explores the planning and design of the renovation of the landfill after the closure, combined with the domestic waste landfill Advanced waste treatment technology and the unique natural ecological environment of Jinkeng National Forest Park will transform the Guangzhou Xingfeng Domestic Waste Landfill into a circular economy industrial park with the function of ecological recycling of domestic waste. This transformation plan can guide the public to actively participate in the environment. Cultural construction is of great significance to the construction of ecological civilization; at the same time, it is also an exploration of green recycling, low-carbon, and sustainable planning methods.
Integration of regional culture and place environment——Taking the landscape sculpture design scheme of Yuanbaozi Wetland Park as an example
Authors: Ma Jie , Li Yi , Shen Duwen , Zhang Ran 
Published: March 2021

Abstract
In order to create a good cultural atmosphere and environmental characteristics, improve the overall quality, promote the integration of public life into the modern city, and enhance the local artistic charm and taste of life, the creators integrated the regional culture and the unique environment of the place in the sculpture design concept scheme of yuanbaozi wetland park with the sense of modernity, interactivity and regionality. Taking “mountain” and “water” as the main idea, human history as the key link and integrating local elements can not only continue the context, but also reflect the unique local characteristics, and then integrate with the park landscape layout and style to realize the beauty of diversity and unity.
Investigation and Analysis on Current Management of Small and Medium-sized Rivers in Shandong Province
Authors: Jing Huilin , Tian Xi , Lu Xiayi , Cheng Xia , Zhu Shicheng , Zhou Shupeng 
Published: March 2021

Abstract
2020 is the last year of the 13th Five-Year Plan, and also the final year of building a well-off society in an all-round way. During the 13th Five-Year Plan, small and medium-sized rivers in this province have experienced large-scale treatment, playing an essential role in flood control and drainage, agricultural irrigation, disaster prevention and mitigation, and improvement of river ecological environment in addition to improving the currently weak water-conservancy infrastructure. However, local government still have problems in funding, land acquisition, segment-based management and treatment, project maintenance, and the balance between flood control and eco-system. Therefore, it is necessary to take effective measures and give the small and medium-sized rivers a greater role in flood control, drainage and eco-system apart from increasing investment in these fields.
Effect of evaporation on land salinization after storm surge overtopping embankment
Authors: Lu Hong 
Published: March 2021

Abstract
Based on SUTRA, a numerical simulation software of groundwater with variable saturation and density, the influence of evaporation after storm surge on soil pore water flow and salt transport process was studied. The results showed that the seawater overtopping caused land soil salinization, and evaporation would weaken the vertical infiltration of salt water, keep salt in the shallow soil, and increase the salt content in the shallow soil, which made it difficult to eliminate soil salinization.
Study on seismic and shock absorption performance of Yi Ci Hui stone pillar
Authors: Xiaowei Yang , Yanfeng Wang 
Published: March 2021

Abstract
The rigid block structure composed of multiple blocks of stones will sway during an earthquake. The rocking and rocking impact dissipates the seismic force and has good shock absorption performance. The seismic and seismic performance of Yi Ci Hui stone pillar with multi-layer block stones was studied. The results showed that: only the acceleration increases to a certain value, the rocking amplitude of the multi-layer stacked stone pillar occurs; with the continuous increase of the earthquake acceleration, the rocking amplitude of the stone pillar will rapidly decay or even be stationary. Stacking stone pillar can effectively take advantage of high compressive strength of block stone, and only produce compressive stress in the pillar root section to avoid stress failure of stone pillar. The energy reaction of the multi-layer stone pillar is mainly kinetic energy, which reaches the maximum when the stone pillar begins to shake, and then decreases rapidly. The total strain energy reaches the peak value when the stone pillar shakes, and then remains unchanged. The rocking and shaking of stacked stone pillars causes the impact of rock interface edge to dissipate seismic energy, which makes the rocking amplitude and kinetic energy of stone pillar gradually decrease, and the total strain energy is basically unchanged, which effectively plays the role of seismic shock absorption.
Experimental Verification on Finite Element Model of Composite Columns with Concrete Filled Steel Tube Flange
Authors: Ji Jing , Jiang Li , Jiang Liangqin , Song Huayu 
Published: March 2021

Abstract
In order to study mechanical performance of composite columns with concrete-filled steel tube flange subjected to the eccentric compression, the finite element model of this kind of composite columns is established by using ABAQUS finite element software. In this paper, the reasonable material constitutive and finite element modelling method are selected to carry out numerical simulation analysis of concrete-filled steel tubular composite columns and concrete-filled square steel tubular columns. The load vertical displacement curves, load lateral deflection curves and failure modes are obtained, which are in good agreement with the existing test data. The rationality of material constitutive and finite element modelling is verified, which lays a foundation for further establishing the calculation formula of eccentric compression bearing capacity of this kind of column.
Study on the preparation and properties of new sleeve grouting material for prefabricated building
Authors: Peng Hong , Liu Lijun 
Published: March 2021

Abstract
The control variable method was used to determine the reasonable amount of cementitious system, water reducing agent and early strength agent in the grouting material. Through orthogonal test, the effect of water-binder ratio, cement-sand ratio and desulfurized building gypsum content on the fluidity, compressive strength and vertical expansion rate of grouting material was studied. The experiment determined the optimal ratio of grouting material. The test results show that the main factor affecting the fluidity of grouting material is the cement-sand ratio; the main factor affecting the 1d and 3d compressive strength is the gypsum, and the main factor of the 28d compressive strength is the water-binder ratio; the main factor affecting the vertical expansion rate of 3h and 24h is the gypsum content. The optimal ratio of grouting material is: water-binder ratio of 0.23, cement-sand ratio of 1.0, the mass ratio of cement to mineral admixture is 4:1, polycarboxylate superplasticizer of 0.3%, calcium formate early strength agent of 0.7%, silicone defoamer of 0.2%, desulfurized building gypsum of 9%.
Study on hydrodynamic properties of a common building material
Authors: Yifei Wang , Mengyun Chu , Jingjian Li 
Published: March 2021

Abstract
The efficient self-leveling ability of self-compacting concrete is widely used in various industries and structures, but the influence mechanism and law on its flow performance have not been quantified, so it is urgent to find a suitable explanation method. Water film thickness is considered to be one of the key factors affecting the flow performance of mortar and cement paste, but there is a lack of research in concrete. In this paper, relevant experimental studies are carried out based on the theoretical innovation of water film thickness. In order to further improve the flow performance of self-compacting concrete, according to a certain gradient, 24 fresh self-compacting concrete flow performance tests and filling density measurement tests were carried out to observe the relationship between water film thickness and concrete flow performance. The results show that there is a strong correlation between the flow performance of concrete and the thickness of water film, and there is a positive correlation between them. the addition of talc powder can improve the flow performance of self-compacting concrete, and the flow performance is the best when 5% talc powder is added to replace cement.