bluuebunny/crossref_metadata_2025_split huggingface dataset:
Refined Imbricate Cryptography with addition of Polygram Substitution Cipher Method: an enhanced tool for security
Authors: Dharshini M , Gayathri K , Renuga Devi S , Gopalakrishnan B 
Published: February 2021

Abstract
The booming of technologies these days make us more comfortable and also take us into the complex world. As information increases rapidly, the level of security also matters. As a technological paradigm, the security can be done using many cryptography techniques. Cryptography is a process of converting a plain text into a cipher text so that the data can be viewed or extracted only by an intended user. In this paper, we describe a methodology inorder to enhance the speed of encryption and decryption process. This process uses ciphertext formation via Imbricate Cryptography and Polygram Substitution Cipher Technique. On performing cryptography, there are a lot of improvements in the actual implementation. Most importantly, the advantage of combining these two algorithms is to make data more secure from the exploiters and also making the computer to process faster.
Blockchain based Access Control and Data Sharing Systems for Smart Devices
Authors: Chinnasamy P , Vinodhini B , Praveena V , Vinothini C , Ben Sujitha B 
Published: February 2021

Abstract
Internet-of-Things and Blockchain technology are evolving all around today’s modern world to solve many problems such as security, communications, data collection and analysis, etc. However, we also have some issues, such as efficient data sharing, restriction of access, reliable authentication, etc. The proposed framework is designed to solve the problems related to security and authorization in IoT network access control. In addition, the system’s aim is to accomplish security, authorizing, and encryption for information exchange through IoT networks. In this article, a novel system is introducing to provide the data sharing system that integrates blockchain based access control system for IoT devices. Here, we are creating three different smart contracts to offers an efficient access control management like contract to provide access control, contract to provide authentication, and contract to provide a judgment. Finally, the effectiveness of the proposed approach is measured against the cost consumption of smart contracts and cryptographic functions. The cost utilization comparison is carried out against certain current approaches as well as the findings clearly demonstrate that the proposed approach is cost-effective.
The Implementation of Finite Difference Minority Carrier Diffusion Equation to Determine Pm-147/Si Betavoltaic Performance
Authors: Rahastama S , Waris A , Iskandar F , Viridi S 
Published: February 2021

Abstract
In this article, we employ a numerical calculation to determine the Pm2O3-Si p-n junction betavoltaic electrical performance using Finite Difference Minority Carrier Diffusion Equation (FD-MCDE) method. In order to verify the method, the comparation result is presented according to the basic planar design in the experimental study as well as the analytical calculation. At 0.8 Ci/cm2 and 1 Ci/cm2 activity content, we obtained 8.04% and 7.03% error in short-circuit current calculation, respectively. Furthermore, the variation in the number of n-type and p-type arrays was done to detect the shifting effect in the simulation result. The V
oc, Vmp
, and FF for both activity contents have achieved the optimum values using 500 x 500 grids, despite of having more iterations to reach the desired convergency level.
Lesson Learned on Handling Volcanic Ash of Kartini Reactor
Authors: Pandi Liliana Yetta , Wahyono Puradwi Ismu , Khakim Azizul , Sahiful Umar 
Published: February 2021

Abstract
Indonesia is located along the path of the Pacific Ring of Fire, home of about 83 active volcanoes, and is operating 3 research reactors. The volcanic eruptions in Indonesia occurred several times in recent years. Mount Merapi eruption located in Yogyakarta, Central java occurred in 2010 and the eruption of Mount Kelud located in Kediri, East Java occurred in February 2014. The later spread volcanic ash reaching Kartini research reactor located in Yogyakarta city, and is concerned to have an impact on the operational safety of the reactor. This paper will discuss how to deal with the impact of volcanic ash on Kartini reactor and lesson learned for other operating nuclear reactors around the world.
Heat transfer characteristics of graphite welding pool in penetration brazing of Cu/Ni dissimilar metal wires
Authors: Zeng X , Gao Y Z , Wang Y B , Feng Z G 
Published: February 2021

Abstract
In order to discuss the heat transfer characteristics of the graphite welding pool and the copper electrode, in penetration brazing of Cu/Ni dissimilar metal wire. A mathematical model for electrothermal coupling, on penetration brazing of Cu/Ni dissimilar metal wire, is developed, to describe temperature distribution and influence factors of different types of graphite welding pool and copper electrode, using simulation and experimental tests. The simulation results show that temperatures of the common graphite welding pool is 749.88°C, while the experimental results show that temperatures of the common graphite welding pool is 752.23°C, and the corresponding temperature range of the copper electrode is 236.5°C to 752.23°C, respectively. Furthermore, the length of the copper electrode at high temperature is 16 mm. Since the common graphite has the lowest thermal conductivity, higher thermal resistance, at the contact interface, is developed, while the contact heat, transferred to electrode, is reduced. Last, the heat transfer effect of the common graphite is stronger than that of fine graphite, isostatic graphite and molded graphite.
The strength of the ceramic matrix composites under the influence of pore is reviewed
Authors: Lu M Y , Han B H , He W H , Cheng Z G , Yu J F 
Published: February 2021

Abstract
Ceramic matrix composites with strong structural characteristics, is a kind of multiphase materials. Its mechanical properties and the regularity of damage not only depends on the material properties of components, but also depends on the mesoscopic structure characteristics. Past for reinforcement of composite materials, usually by adding inclusions, makes the interface strength is improved. But as a result of the mixed with non-uniformity, and the preparation process to air and other impurities, makes the substrate near the interface of substrate, in particular, inevitable existence of the pore, pore under external load when the crack and then expand, causing material failure. So by studying the material under external load impact, its performance in the damage evolution of mesoscopic level and macro failure, the relationship between material from the mesoscopic level analysis the rule of damage evolution and fracture mechanism, can not only provide theoretical guidance for the preparation of composite materials, but also through the further optimization of material mesoscopic structure to achieve the purpose of design materials. In this paper, the current ceramic matrix composites, has introduced the preparation of defect, defect cause material damage failure occurred, and the research status of the influence of the effective strength of the composites, the composite material related research achievements and disadvantages, on the basis of combining the simulation modeling analysis method for composite material next effective strength problem research was discussed.
Determination of the yield stress in Al thin film by applying bulge test
Authors: Tinoco H A , Holzer J , Pikálek T , Sobota J , Fořt T , Matějka M , Kruml T , Hutař P 
Published: February 2021

Abstract
In this work, we have applied an improved method to determine the yield stress and residual stress in a freestanding thin aluminum film by analysing experimental data obtained by the bulge test. The Al thin film was deposited by a magnetron sputtering technique. The film was cyclically loaded with increasing maximum gas pressure. The method to determine the plasticity parameters is based on the load-deflection relation that presents a linear behavior in the elastic regime when it is scaled with the displacement parameter. The plastic deformation induces nonlinear effects that allow determining the elastic limit of the film. At that point, the gas pressure value that generates the elastoplastic transition is identified on the scaled curve. For a bulged square film, the curvatures are computed from an approximated spatial deflection equation to calculate the stresses within the proposed model. The analysis enables construction of biaxial stress-strain curve for the studied film and determination of the yield stress (132 MPa for the studied film). The second important development of the paper is the methodology which permits the characterization of the residual stress from pressure-stress relation without additional numerical computations.
Optical performance test and energy resolution analysis on LaBr3(Ce) crystal
Authors: Jiang T Z , Liu F , Fan X X , Li M , Liu F C , Ouyang X P 
Published: February 2021

Abstract
The paper used 137Cs and 60Co γ sources to measure and analyze the effects of different voltage, gain, count time of photomultiplier tube and different distance of sources on the energy resolution of LaBr3(Ce) crystal; the relationship curves were obtained quantitatively. The experiment values are in good agreement with MCNP simulation results. The results show that the energy resolution of LaBr3(Ce) is negatively correlated with voltage and gain; the gain is more influential. The energy resolution of LaBr3(Ce) is positively correlated with detection distance and count time; the detection distance is more influential. The paper used picosecond X-ray generated by pulsed power accelerator “Qiangguang-?” to excite the LaBr3(Ce) crystal and measure its fluorescence decay time and emission spectrum. The results are consistent with the available experimental data of other scholars and verify the excellent time response of LaBr3(Ce). With the increase in X-ray energy, the peak emission wavelength shifts towards infrared direction, which can better match the spectral response of photocathode.
Microwave absorbing properties of La1-x
Ba
x
MnO3 (x=0.1,0.2,0.3,0.4,0.5) nano-particles
Authors: Deng Jianjie 
Published: February 2021

Abstract
Electromagnetic wave absorbing materials have always been a research hotspot in military and civil fields. La1-x
Ba
x
MnO3 nanocrystalline powders were prepared by sol-gel method. XRD analysis shows that La1-x
Ba
x
MnO3 is a single perovskite structure, and the lattice constant changes with the doping amount. SEM analysis shows that La1-x
Ba
x
MnO3 is basically spherical with an average particle size of about 80 nm. The relationship between the complex permittivity and permeability with microwave frequency was measured by microwave vector network analyzer. According to the measured data, the microwave reflectivity and loss factor of the sample were calculated, and the microwave loss mechanism of the sample was discussed. The results show that x has a great influence on the absorbing properties of La1-x
Ba
x
MnO3. When x is 0.2 and the thickness is 1.6mm, the absorption bandwidth above 10dB reaches 2.1GHz and the maximum absorption value is 25dB. The microwave loss of La1-x
Ba
x
MnO3 mainly comes from the dielectric polarization loss of perovskite materials, it also comes from conductivity loss, magnetic loss and interface polarization loss due to Ba doping and nano effect.
First principles study on electronic structure, ferromagnetism and dielectric properties of α-Fe, FeSiAl and Fe3Si
Authors: Wu F C , Zhou J , Lai J B , Li S J , Ma R , Xie Q 
Published: February 2021

Abstract
Based on the plane-wave pseudo-potential theory, the first principle calculation was used to study the electronic structure, ferromagnetism and dielectric properties of α-Fe, FeSiAl and Fe3Si alloys. Results indicate that the Fe3Si has the strongest hybridization and covalent bond. And α-Fe has the most stable system structure. The PDOS shown that the peak for the imaginary part of dielectric constant in the low-energy region is due to the electronic transitions of the hybridized 3d spin-down Fe states above and below the Fermi level, and the high-energy peak of it is formed by the transitions from the broad 3d spin-down band in the valence band to the unoccupied 3d spin-down states. Compared with α-Fe and FeSiAl, the imaginary part of the dielectric constant of Fe3Si is larger, and the magnetic moment of Fe3Si alloy is the largest according to the electronic structure and magnetic analysis. Therefore, Fe3Si has better absorbing properties.
Theoretical analysis and numerical simulation of square honeycombs
Authors: Li Z G , Wang J M , Li M , Chen F Y 
Published: February 2021

Abstract
Aluminum honeycomb is widely used in energy absorption field for its special structure and excellent performance. The three-dimensional finite element models of aluminum honeycombs are developed in order to explore the mechanical behaviors under out-of-plane and in-plane compression. The simulation method is validated based on the experimental results of hexagonal honeycombs. Based on the simplified super folding element theory, we study the platform stress of square honeycomb under out-of-plane and in-plane compression. The theoretical formulas of platform stress under two conditions are provided in this study. Finally, compared with the simulation results of square honeycomb compression, the maximum error between the simulation and the theory for the platform stress under out-of-plane and in-lane compressions is less than 10%, and 15%, respectively. Both the results predicted by the theoretical formulas show high precision.
Simulation of resistance heating process for AZ31B magnesium alloy sheet
Authors: Yang H , Yang J S , Li J P , Niu W Y , Sun T 
Published: February 2021

Abstract
Temperature is one of the key factors affecting the quality of magnesium alloy sheet products in warm rolling deformation. Inaccurate temperature control will cause defects such as difficult forming and edge cracking. This paper focus on the temperature distribution of AZ31B magnesium alloy sheet during resistance heating based on a special warm rolling experimental mill for magnesium alloys with online heating developed by the State Key Laboratory of Rolling Technology and Automation of North Eastern University (NEU-RAL). COMSOL finite element software was used to simulate the influence of the main parameters in heating process on temperature, and the relationship curve of steady-state and transient temperature distribution were obtained. Finally, the correctness of the simulation law was verified by resistance heating experiments. The above job provides theoretical basis for temperature control of magnesium alloy sheet during warm rolling.
A Survey of Abnormal Event Perception Research Based on Mobile Phone Location Big Data
Authors: Yang Hu , Xiaoyong Zhang , Di Xiao 
Published: February 2021

Abstract
The perception of human behavior that is different from normal has always been a common concern in many fields. The widespread use of smartphones makes it possible to obtain a large amount of user activities at fine spatial scales. In this context, this article first systematically summarizes the research on human behavior patterns in the era of mobile phone big data. Although the current research has made certain research progress, there are certain limitations in data source selection and activity semantic analysis. Then it focuses on the relevant research on the perception of abnormal events by mobile phone positioning big data, including the research progress in abnormal event early warning and emergency response, and believes that there is more room for development in related research. The analysis of these studies provides reference value for handling similar emergencies in the future, especially for post-disaster emergency response and resource allocation. It provides strong theoretical support.
An analysis of the “direct effect” and “indirect effect” of urban housing prices on the upgrading of industrial structure——Based on data of 285 cities
Authors: GuoMeng  , cheng Du Zhong , Shukai Cai 
Published: February 2021

AbstractIn order to investigate the extent of the impact of changes in urban housing prices on the transformation and upgrading of industrial structure and the spatial related characteristics under the big data environment, this paper based on the sample data of cities at prefecture level and above in China from 2007 to 2016 establishes a spatial dynamic Durbin model with spatial geographical proximity, spatial geographic distance and spatial economic distance as weight matrix, so as to measure the direct impact of housing price fluctuation on industrial structure upgrading Indirect effect and indirect effect.
An Exploration-driven Reinforcement Learning Model for Video Streaming Scheduling in 5G-Powered Drone
Authors: ShuijieWang  , Su Yu , Cheng Qianqian , Qiu Yuhe 
Published: February 2021

Abstract
In the process of wireless network video streaming, especially in more complex scenarios (such as video transmission of 5G-powered drones), analyzing the quality of experience (QoE) of the video streaming is a very crucial task. Thus attention should be paid to the dynamic interaction between QoE indicators including buffer starvation probability and traffic load. This paper proposes a video streaming scheduling model based on reinforcement learning. By learning the correlation between user behavior and traffic patterns, a series of resource allocation strategies that optimize QoE indicators are obtained. Since there is a certain degree of randomness in the network status at each moment in the transmission process, the model introduces exploration rewards to solve the noise problem of random environments. At the same time, this mechanism enables the model to fully explore the environment even when the reward is sparse, so as to obtain an effective scheduling strategy. Simulation experiments have proved that our model can improve the long-term QoE of video streaming in different network environments.
Automated Classification of Textual SPECT Diagnostic Reports with TextCNN Model
Authors: Han Chengcheng , Lin Qiang , Man Zhengxing , Cao Yongchun , Wang Haijun 
Published: February 2021

Abstract
The SPECT diagnostic text contains several aspects of the patient’s personal information, image description, and suggested results. In order to construct a diagnostic model of nuclear medical text, a classification method of nuclear medical text based on deep learning was proposed. TextCNN was applied to propose the classification method of diseases. A set of real nuclear medical text data was used to verify the proposed method, the experimental results show that the proposed method has a good classification effect.
Design of ice snow accident detection system based on Embedded System
Authors: Zhao Jianguang , Cao Xinying 
Published: February 2021

Abstract
Frequent accidents in ski resorts affect the development of skiing industry. In order to solve the problems faced by skiing industry, an ice snow accident detection system based on embedded system is designed. The system combines embedded system with image processing technology, and has high development value. This paper first introduces the hardware composition, function and hardware selection of the system, and then introduces the design of software. The software program is mainly realized by target detection, target tracking and collision detection algorithms. The design of the system provides ideas for the research of ice and snow accident detection, and has very important practical value.
System Design of Archives Management Based on Blockchain Technology
Authors: Li Guoliang , Yan Su , Yuan Longzhou , Zhang Haibing 
Published: February 2021

Abstract
Archive information is an important information resource for the economic and social development in new district. With the construction of the new district, archive information sharing has become a major technical and application problem that needs to be tackled urgently, due to rising archive data amid project process and separated management of them. The traditional system of archives management adopts a centralized architecture and centralized storage. However, different participants have various standards, so as to bring about many problems, such as, difficulties in data interaction, low authority, poor resistance to cyber attacks, and easy information leakage, which can’t meet the needs of archives management modes of personnel, enterprises, projects and other subjects amid the complex construction environment of the new district. With the rise of Bitcoin project, Blockchain technology has popularized. After long-term development, its application ecological environment has begun to form a scale. The concept of a new application system based on the blockchain technology architecture is in coincidence with that of the construction of archives management system of a new district.
Research on Site Selection and Algorithm of Military Logistics Center
Authors: Du Jian , Zhan Huan , Du Lijuan 
Published: February 2021

Abstract
As an important link in the guarantee, military logistics is becoming a hot topic. The paper briefly describes the general situation, summarizes the characteristics of military logistics and the research significance of military logistics center. It systematically analyzes the siting model and method of military logistics center, and gives two siting models of military logistics center. According to the special needs of military logistics, the paper establish the location model of military logistics center and simulation algorithm. On this basis, it carry out the experiment to verify the model, in which the results show that the model has a wide range of application and high precision.
Test Case Generation for Web Application Based on Markov Reward Process
Authors: Cao Jing , Liu Xiaoqiang , Guo Hui , Cai Lizhi , Hu Yun 
Published: February 2021

Abstract
Web applications often face continuous updating due to functional change or UI renew, while it remains a challenge to guarantee their correctness. The goal of software testing is to find defects in a limited time range whereas exhaustive testing is an ideal yet time-consuming process. In this research, we propose an approach to generating test cases automatically based on the Markov reward process which innovatively contains a reward function for test results to guide the generation of test cases. By using the N-step algorithm, this approach can generate the test flow with the highest risk priority which can capture software defects as quickly as possible. The experiment on an e-commerce system shows that there is significant improvement on the defect detection capability of test cases generated through Markov reward process.
Charging Station Recommendation for Electric Vehicle Based on Federated Learning
Authors: Wang Xiaohui , Zheng Xiaokun , Liang Xiao 
Published: February 2021

Abstract
At present, the usage of EV charging facilities is unbalanced. The accuracy of the charging station recommendation does not meet the demand. Due to the limitation of user privacy protection, charge point operators and vehicle enterprises cannot provide data to each other for joint analysis. Therefore, we proposed recommendation method of EV charge point based on federated learning. The federated factorization machine is implemented to make use of data features in both sides and cross features between them. We build the model by encrypted entity alignment, secure federated training and predicting. The experimental results show that the federated model improves the AUC of the model by 6% over those built with features only from the charge point operators. The model is superior to centralized LR-based and RF-based models. While the data does not need to leave the original platform, the model realizes the secure and precise federated charging point recommendation based on more comprehensive features.