bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of flow characteristics affected by some blade structure elements based on a liquid hydrogen turbopump
Authors: Wu Bu-ming , Xia Chen 
Published: May 2022

Abstract
In this paper, a simulation study on liquid hydrogen turbopump was carried out to obtain the basic flow characteristics of the inducer and impeller with and without cavitation phenomenon considered. The influence of pump structure was analyzed, and the influence of circumferential position, inlet inlet angle and other parameters on flow field and aerodynamic performance was explored. The results show that the influence of boundary layer can be reduced and blade performance can be improved by increasing the blade wrap angle of the centrifugal blade or using a smaller inlet inlet angle near the shroud. In addition, increasing the blade wrap angle can also increase the pressure on the inlet leading edge of the blade, thus reducing the possibility of cavitation. A higher flow rate of the pump may reduce the possibility of cavitation. Cavitation is likely to reduce when the blade leading edge has a slightly slant stacking line of the impeller. Based on these research results, some opinions are given to improve the design method of liquid hydrogen turbopump.
Study of convergence speed enhancement for topology optimization
Authors: Nguyen Van-Tinh , Tao Ngoc-Linh , Nguyen Thanh-Trung , Bui Ngoc-Tam 
Published: May 2022

Abstract
The target of this research is to enhance of convergence speed of proportional topology optimization process since it usually spends much computational cost to reach the achievement. Conventionally, proportional topology optimization (PTO) is a non-sensitivity technique, in which, the material distribution is gradually optimized by certain amount of material at each iteration through the relationship between current maximum stress and allowable stress. This is a reason that PTO method took a long time to reach the optimal layout. This paper deploys an adaptive material amount to improve this point. The cantilever with fixed hole is used to validate the effectiveness of the new method. The result shows that the proposed technique provided a significant improvement on the performance of proportional optimization algorithm.
Star Sensor Simulation with Application of the k-NN Method in Star Identification Problem
Authors: Chen Danhe , Kudlak Vitaliya V. , Maslennikov Andrey L. 
Published: May 2022

Abstract
Simulation of the navigation systems is required to develop efficient, reliable, and accurate algorithms for orientation problems. In this paper the astronavigation system is considered, and the star sensor simulation based on algorithmic mathematical model is discussed. The algorithms include the starry sky image obtaining, data processing, and stars identification. Two modifications of the known stars identification algorithm are proposed and related to the use of k-NN method in identification and stars selection criteria for increasing computational efficiency. Simulation of the described approach for star sensor is performed in MathWorks MATLAB. The simulation results show adequate results.
Guidance law based on deep Q network algorithm
Authors: He Xianjun , Wu Mingyu , Chen Zhihua , Wu Wei-Tao , Zheng Chun 
Published: May 2022

Abstract
In this paper, an intelligent guidance law based on Deep Q Network (DQN) algorithm is proposed, for enabling the missile to intercept different maneuvering targets following the idea of the parallel-approach method. In specific, we propose the inverse ratio of the absolute value of line-of-sight (LOS) angle rate as the shaping reward function which guarantees the successful finding of the control strategy and the speeding up of the training process of the reinforcement learning (RL) model. Furthermore, to avoid rapid chattering caused by directly choosing missile acceleration as an action, we introduce the change rate of the acceleration as the action in the DQN algorithm and integrate it to obtain the acceleration command. Therefore, in our algorithm only LOS angle, LOS angle rate, and missile overload information are used in the established RL model to generate the guidance command, which is easy to implement. The simulation results and comparative experiments demonstrate that the proposed RL based guidance method achieves better guidance accuracy and higher success rate. The great performance of the proposed method suggests that the RL based guidance method is promising for the maneuvering target, and deserve further investigations in future.
The fuzzy-based systems in the communication between a human and a humanoid robot
Authors: Mogos E 
Published: May 2022

Abstract
The communication between a human and a humanoid robot is a real challenge for the researchers in the field of the robotics. Despite of the progress in the acoustic modelling and in the natural languages the humanoid robots are overtaken by the humans when the humanoid robots are engaged in the real life because the speech and the human emotions are extremely ambiguous due to the noises and the external audio events from the robot’s environment. The humans assign a correct interpretation to the perceived ambiguous signal, but the humanoids robots cannot interpret the ambiguous signal. The most common software used in the interpretation of the ambiguous signal is a fuzzy based software. The artificial neuro-fuzzy inference system, shortly known as ANFIS is the emotion recognition system based on the fuzzy sets which acts as the thalamus of the human brain and it is responsible for the sensorial perception of the humanoid robot. Our goal in this work is to create the fuzzy-based sound signals software and the fuzzy-based genetic algorithm with high performance in the communication between the human and the humanoid robots which help the humanoid robots to think, to understand the human speech and the human emotions and all the ambiguous signals from the robot’s environment in a way that it is distinguishable for every humanoid robot as the human.
The Empirical Analysis For Effective Prediction of Crop Price Using Neuro Evolutionary Algorithm based on Machine Learning Approach
Authors: Nalini T. , Rama A. , Shanmuganathan M. , Sam Dahila , Sheeba Dr.Adlin 
Published: May 2022

Abstract
: Based on a neuro evolutionary algorithm, this study proposes a neural network model for efficient crop price prediction. When viewed from the perspective of agricultural business, the market price of corn reflects its current demand. For agricultural management, to improve profits, it is important to track and predict the market price. In this manuscript, a neural network model based on the output prediction of a neuro evolutionary algorithm is used to predict the price of the crop and compared with the existing Naive Bayes algorithm. By recognizing patterns in our training dataset, which serves as one of the inputs to the algorithm, we are able to determine the price of the crop. The parameters (Yield, Rainfall, Minimum Support Price, and Maximum Trade ) are fed to the algorithm by the user. It is compared with existing algorithms to determine the performance of the proposed algorithm. The features considered for the analysis are Climate, historical costs, location, demand indicators, and crop health are the variables used for predicting future corn crop cost. According to the empirical analysis, the proposed model is significantly more accurate in predicting crop prices.
Azerbaijani sign language recognition using machine learning approach
Authors: Aliyev Samir , Almisreb Ali Abd , Turaev Sherzod 
Published: May 2022

Abstract
Sign Language recognition is one of the essential and focal areas for researchers in terms of improving the integration of speech and hearing-impaired people into common society. The main idea is to detect the hand gestures of impaired people and convert them to understandable formats, such as text by leveraging advanced approaches. In this paper, we present our contribution to the improvement of Azerbaijani Sign Language (AzSL). We worked on AzSL Alphabet static signs real-time recognition. The method applied in this work is Object Classification and Recognition by leveraging pre-trained lightweight Convolutional Neural Networks models. At first, a dataset containing near to 1000 images has been collected, then interesting objects on images have been labeled with bounding boxing option. To build, train, evaluate and deploy the relevant model, TensorFlow Object Detection API with Python has been employed. MobileNet v2 pre-trained model has been leveraged for this task. In the trial experiment with four sign classes (A, B, C, E) and 5000 step numbers 15.2% training loss and 83% evaluation mean average precision results have been obtained. In the next step of model deployment experiments with all 24 static signs of AzSL, 49700 and 27700 steps (180 and 100 epochs, respectively) 6.4% and 18.2% training losses, 66.5% and 71.6% mAP outcomes gained, respectively.
Congestion-free routing based on a hybrid meta-heuristic algorithm to provide an effective routing protocol by analyzing the significant impacts of QoS parameters in a dynamic VANET environment
Authors: Marwah Gaganpreet Kour , Jain Anuj 
Published: May 2022

Abstract
A definitive form of Mobile Ad-hoc Network (MANET) is the Vehicular Ad-hoc Network (VANET), which delivers data communication using wireless transmission with the collection of vehicular nodes in a vehicular environment. The main goal of this VANET is to improve the Quality of Service (QoS) which is road safety, environmental kindliness, and logistics in intelligent transport. Moreover, mobility and routing play an important challenge for information interchange to the process in the VANET environment. In developing countries, smart cities are encountering problematic traffic congestion. Furthermore, in cluster communications, stable cluster formation and maintenance with the guarantying QoS has always remained a great challenge. In order to overcome the above-mentioned issue, this article proposes a congestion-free routing process ensuring QOS parameters. The main objective of the proposed scheme is to analyze the impact of QOS parameters while choosing the best routing path in Vehicular communication. The scheme also introduces the Hybrid-Harris Hawks Black Widow optimization-based VANET (H-HHBW-VANET) algorithm to improve QoS for routing between nodes. This algorithm differs from other algorithms in terms of optimal solution generation, which makes it more efficient. The proposed work is implemented in the working platform of NS2 to analyze the parameters such as Drop, Delay, Energy Consumption, Throughput, and Fairness Index. The simulation results provide better QOS service in terms of low energy consumption with higher throughput and low delay.
Harmonic Analysis of Simply Supported Square Plate for Uncertain Parameters
Authors: Khan Imran Ahemad , Zakiuddin Kazi Syed , Fulzele Punit 
Published: May 2022

Abstract
Many Mechanical structures are manufacture by using plates. However Harmonic Analysis of plate is growing research subject in today’s era. In the present research paper vibrational response of simply supported square plate with uncertain parameters are studied. In designing any real life mechanical system uncertainty phenomenon plays vital role. Thus it becomes important to study the effect of uncertainty for different frequency domain in mechanical system. In present research work square plate as structural element is selected. On this plate mass, stiffness and both collectively mass and stiffness uncertainty are taken. The plate boundary condition selected is simply supported. For determining the plate dynamic response FEM tool is used. While doing harmonic analysis the behavior of all uncertain parameters plates are compare with bare plate. In the FRF plot of plate with stiffness uncertainty, it is found that it has drastic changes in dynamic response. Thus this shows that uncertain parameters have adverse effects and it changes the dynamic behavior of the structure.
Low Cost System Based on Infrared Technology for Water Management
Authors: Grados Juan , Auccahuasi Wilver , Herrera Lucas , Rojas Karin , Maguiña Walter , Arteaga Alex , Rubiños Santiago , Gutierrez Ricardo , Diaz Enrique , Grados Herbert , Soria Alejandro Paredes , Gamarra Patricia del Pilar Díaz , Salazar José Luis Herrera 
Published: May 2022

Abstract
Water is an essential element in the life of the human being for which its conservation and good use is necessary, in this work we make a proposal for the development of a low-cost system for water management in order to save on Its consumption, using infrared technology, the results provide a mechanism that can be replicated and at different scales, by the use of commonly used devices.
The role of extended range of interactions in the dynamics of interacting molecular motors
Authors: Spaulding Cade , Teimouri Hamid , Narasimhan S L , Kolomeisky Anatoly B 
Published: May 2022

Abstract
Motor proteins, also known as biological molecular motors, play important roles in various intracellular processes. Experimental investigations suggest that molecular motors interact with each other during the cellular transport, but the nature of such interactions remains not well understood. Stimulated by these observations, we present a theoretical study aimed to understand the effect of the range of interactions on dynamics of interacting molecular motors. For this purpose, we develop a new version of the totally asymmetric simple exclusion processes in which nearest-neighbor as well as the next nearest-neighbor interactions are taken into account in a thermodynamically consistent way. A theoretical framework based on a cluster mean-field approximation, which partially takes correlations into account, is developed to evaluate the stationary properties of the system. It is found that fundamental current–density relations in the system strongly depend on the strength and the sign of interactions, as well as on the range of interactions. For repulsive interactions stronger than some critical value, a mean-field theoretical approach predicts that increasing the range of interactions might lead to a change from unimodal to trimodal dependence in the flux-density fundamental diagram. However, it is not fully supported by extensive Monte Carlo computer simulations that test theoretical predictions. Although in most ranges of parameters a reasonable agreement between theoretical calculations and computer simulations is observed, there are situations when the cluster mean-field approach fails to describe properly the dynamics in the system. Theoretical arguments to explain these observations are presented. Our theoretical analysis clarifies the microscopic picture of how the range of interactions influences the dynamics of interacting molecular motors.
Practical security of continuous-variable quantum key distribution involving saturation attack with finite-size analysis
Authors: Mao Yun , Li Yin , Guo Ying 
Published: May 2022

Abstract
Saturation attack of imperfect detectors compromises the practical security of continuous-variable quantum key distribution (CVQKD) in implementations. In this paper, we demonstrate the practical security of the CVQKD system with finite-size analysis when considering effects of saturation attack on imperfect detectors at the receiver. We suggest an approach to resisting this attack by embedding an adjustable optical filter in the detector, motivated by characteristics of saturation attack. Numerical simulations illustrate the practical security of the system with finite-size analysis in terms of the achieved secret key rate and maximal transmission distance. It indicates that this approach can be elegantly used for defeating the potential saturation attack in practical quantum networks.
The Application of Photogrammetry in Architecture Historical Documentation: The measured drawing of Tanjung Sembrong Mosque and Teratak Selari Bonda
Authors: Sabil A , Mahmud N A A , Utaberta N , Amin N D N , Asif N , Yusof H 
Published: May 2022

Abstract
Architectural measured drawings refer to the process of on-site constructed building documentation in the form of presentable set architectural drawings. The drawings are produced by executing the on-site measurement before converting it into an appropriate architectural drawing scheme. Traditionally, the process begins by obtaining the measurement of the building wholly with the aid of standard measurement tools. With this method, there are issues and challenges identified in obtaining accurate measurement. The process is complicated due to human limitations in getting the measurement on the highest peak of the building. With the assistance of geomatics tools, the photogrammetry method assisting in obtaining such measurements, specifically the roof of the building. This publication explains the integration process of the traditional measurement method and photogrammetry through the measured drawing exercise of Tanjung Sembrong Mosque and Teratak Selari Bonda located at Parit Raja, Johore. The procedure involves the common measurement technique using standard measurement tools integrated with the photogrammetry methods with UAV usage to capture the coordinated aerial image of both buildings.
Comparison of the Main Factors of Drowning/Asphyxiation in Construction Projects Using Multi-Decision Criteria
Authors: Aminu D’u R , Madzlan N , Idris O , Hamzh A 
Published: May 2022

Abstract
Drowning or asphyxiation is one of the top five types of construction accidents on-site in the world. Few studies focus on the causes and sub-factors that contribute to drowning/asphyxiation in Malaysia’s construction industry. This paper developed an Analytic Hierarchy Process (AHP) model for the factors and sub-factors for drowning/asphyxiation and determined their relative weights and priorities. Worker’s unsafe actions have a maximum weight of about 80.98% for the significant factors based on the proposed AHP model, followed by hazardous site conditions with 10.89% and management factors with 8.13%. Financial constraint carries the most weight with 20.22% for the management factors, unsafe working and operating procedures in a confined space, and water bodies have the most weight with 26.97% for hazardous site conditions. Rushing to complete the job and failure to comply with standards working procedure in a confined space or water bodies have the most weight with 17.24 % each. This study can help safety practitioners understand the primary factors and sub-factors responsible for drowning and asphyxiation, how they can reduce the risk of fatal accidents on-site, and how they can make prompt safety decisions. The proposed model also provides a tool to determine the appropriate and effective drowning/asphyxiation prevention methods.
Critical Risk Factor Affecting Cost Overrun in Highway Project of West Sumatera
Authors: Kurniawan Deddy , Mairizal  , Masril  , Rahman Mohd Sam Abd , Zaimi Abd Majid Mohd 
Published: May 2022

Abstract
One part of the form of public capital that is collected into investments made by the government is infrastructure. Several types of infrastructure are roads, bridges, irrigation, and others to support economic activities. It can be seen that there is still a slowdown in the implementation of infrastructure development in Indonesia, which is marked by the lack of quality and quantity of infrastructure. Infrastructure work is part of the responsibilities of the construction industry players, which are very dynamic with various threats to be faced. In practice, every construction project contains risks, unless the owner can transfer it to another party. This study aims to identify critical risks that occur in infrastructure development projects, especially roads in West Sumatra which have an impact on cost overruns in their implementation. This research uses literature study, data collection, and questionnaires which are analyzed using quantitative statistical analysis. The findings in this study are the cost overrun factors that occur in the implementation of road projects in West Sumatra which consist of 12 (twelve) critical risk factors. The highest of the twelve delay factors is the lack of experience of contractors who cannot manage a project properly.
Conceptual Framework in Mitigating Construction Dispute
Authors: Yussof S , Ahmad Zaini A 
Published: May 2022

Abstract
Construction disputes are a typical occurrence in the construction industry. Moreover, construction projects are increasingly complex to suit the current requirement and design, resulting in a complicated contract document between stakeholders. Thus, complex construction projects leads to a complex dispute arising from the complexity of the work, multiple prime contracting parties’ involvement, poor execution of contract documents, inadequate planning, financial issues, and communication issue. Hence, this research thoroughly analyses the literature in construction disputes and identifies the relationship between construction disputes and standard forms of contract. It defines the research field and makes a recommendation for additional research. Future research is expected to validate the interrelation of the construction dispute in mitigating the construction dispute in Malaysia through the Malaysian Standard Form of Contract.
A Factor Analysis to Establish a Group of Causes of Deferred Maintenance at Malaysia’s Public University Buildings
Authors: Yasin M N , Mohamad Zin R , Mairizal  , Nagapan S , Zakaria M A , Wahi N , Abdul Tharim A H , Hasmori M F 
Published: May 2022

Abstract
The building has deferred the maintenance activities either planned or scheduled and delayed from the original schedules by some factors and therefore cause dissatisfaction of the building users commonly become a familiar issue. The public university buildings are an important place, everyone gathers to learn and share knowledge. They are producing future leaders, engineers and industry players. Therefore, it is also the heart of the development of a country. Hence, this study is intended to establish a group of causes factors of deferred maintenance of public university buildings in Malaysia. Questionnaires survey were carried out amongst the targeted respondent and the Statistical Package for the Social Sciences (SPSS) software were used to analyse 220 data collections for factor analysis. The study reveals 42 factors of causes are then classified into three groups. Group 1 is the organization and it displays 20 factors, group 2 is the resources which display 13 factors and group 3 is financial display 9 factors. This study shared useful information and insight knowledge of deferred maintenance of public university buildings in Malaysia.
A review of steel fiber’s potential use in Hot Mix Asphalt
Authors: Shapie S S , Taher M N M 
Published: May 2022

Abstract
The purpose of this paper is to overview the potential use of steel fibre in hot mix asphalt, explore the evolution of steel fibre reinforced asphalt concrete (SFRAC), highlights current trends in research and industry and recommend future areas of research. The study focus on the steel fibre industry and steel fibre generated from waste tyres applied in asphalt pavement. This review focuses on the use and performance of these fibres in altering the performance of asphalt pavements in terms of fibre concentration and fibre length, as well as the influence of steel fibre integration in asphalt pavements. According to the literature, the presence of steel fibre in asphalt pavements contributes significantly to the improvement of the properties studied, most noticeably durability. However, there are still few studies that provide conclusions about the relationship between fibre length and steel mixture concentration fibre in influencing the ability, strength, and durability properties of this asphalt concrete pavement. This review elevates awareness of the need of exploring the relationship between fibre length and morphological features in determining the bridging mechanism in asphalt concrete pavement composition.