bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research of Energy Consumption Monitoring System Based on IoT and Blockchain Technology
Authors: Qi Yue , Wang Xiaocui , Zhou Qian , Mu Shile 
Published: February 2021

Abstract
As the underlying platform for security applications of the Internet of Things, blockchain can provide reliable storage, data encryption, access control, identity authentication, and other service support for the security of the Internet of Things. Its immutability can ensure the authenticity of the information on the chain and the construction of shared accounts The foundation of trust is to ensure business transparency and traceability. Asymmetric encryption can ensure the information security of the Internet of Things. Smart contracts support automatic transactions of IoT devices to improve the operating efficiency of the system, thereby promoting the flow of IoT data and enabling timely warning and carry out effective control. The application research and industrial application of blockchain in the energy field will bring innovative application models to the Energy Internet and realize the flow of data value. This article focuses on the energy consumption monitoring of the Energy Internet consumption, applies blockchain technology to the construction of an energy consumption monitoring system for key energy-consuming units, analyzes the fit between business needs and blockchain technology, designs a blockchain platform architecture, and discussed the issues of energy consumption monitoring blockchain terminal equipment authentication and collection of trusted data.
Multi Channel Allocation Technology for large scale Connection Scenarios in Wireless Networks
Authors: Tian Hua , Jiao Ge , Xu Xiao Yan 
Published: February 2021

Abstract
The existing wireless network multi-channel allocation technology has the defects of low throughput and large average delay. Therefore, this paper proposes a multi-channel allocation technology for large-scale connection scenarios. Through the wireless network architecture, the large-scale connection scenario is described. Based on this, the interference model of wireless network is built. In order to simplify the process of multi-channel allocation in wireless network, Kruskal algorithm is used to form the minimum spanning tree of wireless network topology, and the link load weight is calculated. Based on the calculation results, the wireless network multi-channel is allocated according to the link load weight from large to small The multi-channel allocation of wireless network for large-scale connection scenarios is realized. Using the proposed technology to determine the value of link load weight, the multi-channel allocation scheme is obtained, and the simulation experiment is carried out. The experimental results show that: compared with the standard value, the proposed technology has large throughput and small average delay, which fully shows that the proposed technology has higher allocation performance.
An Improved PPO for Multiple Unmanned Aerial Vehicles
Authors: Bai Xue , Lu Chengxuan , Bao Qihao , Zhu Shansheng , Xia Shaojie 
Published: February 2021

Abstract
In recent years, multi-agent reinforcement learning (MARL) has been applied widely, especially in large multi-role games such as StarCraft and unmanned aerial vehicles (UAVs) combat simulations. However, MARL is faced with challenges regarding fast convergence and efficient cooperation. In a multi-agent scenario, on the one hand, when a fully centralized network model is adopted, it is difficult for the model to converge due to the huge action space; on the other hand, it is difficult for a decentralized model to cooperate and achieve global optimization. To jointly control multiple agents, we propose an improved PPO algorithm by combining a centralized network and decentralized networks. Our method not only reduces the action space and accelerates the convergence, but also introduces more diversity for agents’ decision-making.
Tor Hidden Services Discovery and Analysis: A Literature Survey
Authors: Bian Jingjing , Cao Chunjie , Wang Longjuan , Ye Jun , Zhao Yan , Tang Chaosheng 
Published: February 2021

Abstract
Hidden services are a feature of Tor(The Onion Router)[1]. It provides anonymity for the service requester while maintaining the anonymity of the service provider. Since it is quite difficult to trace back and locate both parties in the communication, the criminals use hidden services mechanisms to construct various illegal activities in the darknet, which has brought adverse effects to society. In order to prevent the abuse of Tor hidden services, the discovery and analysis of hidden services are particularly important. The aim of this survey paper is to review and compare the literature of the past five years, provide the readers with methods for discovering tor hidden services, along with the various content analysis methods developed and proposed from time to time. we explain their key ideas and show their interrelations.
A Limited IST and Random Uniform Clustering Algorithm
Authors: Liang Ping Yuan , Jiang Jun , Tao Fusheng 
Published: February 2021

Abstract
In order to solve the problems of unbalanced energy consumption and shortened network lifetime caused by the uneven distribution of cluster heads (CHs)in wireless sensor networks, a Limited IST and Random Uniform Clustering Algorithm (LIRUCA) is proposed. The algorithm comprehensively considers the energy of nodes, the distance to the sink, and the correlation between nodes when selecting CHs, and limits the intra-cluster communication distance, thus improving the uniformity of CH distribution. Compared with LEACH, EBCRP, and LEACH-improved protocols, results of simulation experiments show that the LIRUCA algorithm can effectively improve the uniformity of clustering, reduce the energy consumption, and prolong the network lifetime.
Research on MAC Verification Code of Railway Signal Security Communication Protocol
Authors: Wu Puwei , Wu Zhongdong , Li Liyun 
Published: February 2021

Abstract
Aiming at the low security and low real-time performance of the message authentication security layer (MASL) message authentication code (MAC) algorithm in the railway signal security communication protocol RSS-II, the advanced encryption standard AES is used as the core algorithm of the MAC code and the ciphertext is used Packet link encryption and decryption of the message, simulation of the security protocol from the security-related key service process of the RSSP-II communication protocol, verification of the confidentiality of the improved protocol, and optimization of the protocol key service process, that is, the key The center uses the advanced encryption standard AES algorithm to authenticate the vehicle equipment and the ground wireless block center, further strengthening the security of the protocol.
A Framework for Interactive Online 3D Visualization of Electric Information
Authors: Li Yan , Zhang Hong , Zhang QianQian 
Published: February 2021

Abstract
To manage the electric network effectively, 3D visualization framework is necessary to reveal the complexity of power grid system. In this paper, an interactive online 3D visualization framework is proposed to visualize the electric network related information from power station to the static data of the system. We applied Cesium, an open source platform for 3D visualization based on WebGL supported browsers. Meanwhile, multiple Level of Detail (LoD) structure of power grid facility is generated to improve the speed of 3D model loading and rendering. The experimental results indicate that the proposed framework can integrate and dynamic visualize power grid information from multiple sources. The multiple LoD structure can reduce the model loading time by 76% and increase the FPS over 50% according to the tests on sample data.
An Energy-optimized Algorithm for the Data Packet Transmission with Circuit Power Consumption
Authors: Zhang Zihan , Meng Chao , Du Yunhai , Zhang Chenxi , Ding Wenjing 
Published: February 2021

Abstract
The development of 5G communication and Internet of Things (IoT) technology has brought massive data transmission. This paper considers a first-in-first-out packet data transmission scenario with actual circuit power consumption and proposes a data transmission strategy with optimal energy efficiency. Specifically, the proposed algorithm in this paper uses a double-layer iteration algorithm, then compare and replace the optimal solution of the ideal circuit power consumption with the optimal solution of the actual circuit power consumption. The numerical results show that our proposed algorithm can significantly reduce energy consumption.
A Data Reconciliation Model Based on Turbo for Satellite-Ground Quantum Key Distribution Network
Authors: Zhou Wenting , Liu Jie , Feng Bao , Ye Xiao , Zhang Tianbing , Bian Yuxiang 
Published: February 2021

Abstract
In the satellite-ground quantum key distribution network with power IoT, due to the imperfection of the quantum equipment and the noise in the channel, the raw key will have some bit error rate and cannot be used for secure communications. To solve this problem, we propose an improved data reconciliation model based on Turbo for satellite-ground quantum key distribution to extract the raw key, and then the key on both sides of communication are identical. We carry on the optimization and simulation to Turbo and increases its error correction efficiency by 15%. To test and verify the feasibility of the model, we implement satellite-ground quantum key distribution simulation experiments and respectively use the low-density parity check (LDPC), Cascade, and Turbo for data reconciliation. Experimental results show that Turbo can make the final key generation increased by 8% comparing with LDPC and Cascade.
A Massive Laser Point Cloud Data Organization Strategy Based on the Mixed Model
Authors: Wang Yingying , Zhang Yuye , Wang Shangqiang , Ji Xiaojia 
Published: February 2021

Abstract
In the process of data interaction, neighborhood query, filtering, visualization, and dynamic update of LiDAR point cloud data, how to efficiently organize and process massive point cloud data, and quickly index and locate any point in the point cloud and its neighborhood Search is a key issue to be solved urgently. In this paper, combining the advantages of a virtual grid with no interpolation loss on original data, sT spatial relationship, and low memory occupation of the octree, we design an index method based on the combination of virtual grid and adaptive octree based on dynamic scheduling of internal and external memory. Realize the organization and scheduling of massive LiDAR laser scanning point cloud data.
Research and Realization on Smart City Applications Based on eMTC wireless communication technology
Authors: Xu Kang , Liu Junjun , Lu Jixiang 
Published: February 2021

Abstract
In response to the call of strengthening the construction of the ubiquitous electric power Internet of Things by the State Grid Corporation, combining the urgent requirement in the construction of smart cities, this paper researched the application of wireless communication technology on smart street lamps based enhanced machine type communication (eMTC) technology. Based on this research, a kind of single-lamp controller PEC6403 based on eMTC wireless communication technology was developed. In order to realize remote control of the lamp, run data sampling in real-time and malfunction alarm, the TCP long connection established by the remote management platform and the eMTC wireless communication module was used to receive and send a message by this single-lamp controller. At last, this paper did some experiments to certificate the high communication rate, low latency, and low power consumption of this eMTC wireless communication module. Finally, this paper analyzed the problems existing in the large-scale promotion in the field of electricity application of the product and put forward the prospect of eMTC technology application in the electric field in the future.
RRPOT: A Record and Replay Based Honeypot System
Authors: Du Chunlai , Zhao Shichuan , Wang Wei 
Published: February 2021

Abstract
The honeypot system is a critical defense facility in cybersecurity. It captures and analyzes the attack behavior for constructing a more robust defense system. However, considering the overhead caused by analysis, the system cannot support fine-grained analysis. This paper proposes RRPOT, a novel honeypot system based on the record and replay (RnR) framework of virtual machine (VM). By combining the native honeypot system with an RnR framework, the system supports to postpone the time-consuming analysis to the replay stage, thereby enables fine-grained analysis. Moreover, we propose an on-demand record mechanism to reduce performance and storage costs during the record stage and employ an on-demand replay mechanism to improve replay efficiency. Leveraging these approaches, we develop a flexible and efficient honeypot system, and it was proven useful in the practical scenario.
Principle and Simulation PID Controller of Liquid Level System
Authors: Chen Lijie 
Published: February 2021

Abstract
Three-tank water tank is one of the most extensively used and representative industrial mathematical models, which has very important research significance. Liquid level control is one out of a multitude of useful used means in industrial check on. Due to the influence of factors such as the friction of the liquid itself, the control object has certain hysteresis and nonlinear characteristics. PID control is one of the most wide-ranging applied control algorithms and its wide operating range and simple function. In this paper, the modeling and simulation of representative three-tank PID and the traditional PID control and fuzzy PID control are compared and summarized.
Research on Equipment Procurement Contract Performance Evaluation
Authors: Yuan Mingxing , Peng Xinran , Li Xiaosong 
Published: February 2021

Abstract
The equipment procurement contract performance evaluation is an important means to effectively solve the problem like “inefficient progress”, “low targets”, and “increased costs” in equipment procurement. This paper defined the concept and connotation of the performance of equipment procurement contract, and proposed the equipment procurement contract performance evaluation, including influence factors analysis, evaluation indicators establishment, evaluation model construction, calculating results, etc., constructed four-dimension equipment procurement contract performance evaluation indicator system consisting of quality, schedule, funding, and service, and constructed the equipment procurement contract performance evaluation model based on BP neural network, and carried out a case analysis. The research conclusions provide a reference for the evaluation practices of equipment procurement contract performance.
Research on ECD Distribution Law under Managed Pressure
Authors: Xiao Fan , Guan Zhichuan , Pan Rui , Li Pengfei , Han Chao , Hu Sicheng 
Published: February 2021

Abstract
By analyzing the basic theories and technical principles of managed pressure drilling, this paper establishes the cyclic pressure loss check and ECD calculation model under managed pressure conditions. The model is used to calculate and analyze the distribution of equivalent density curves in the wellbore under different drilling fluid densities and different pressure control conditions, and to analyze the distribution of ECD curves in pressure profiles at the same depth. Analyze the density range of the safe use of drilling fluid.
Research on the Security Technology of Federated Learning Privacy Preserving
Authors: Mao Juan , Cao Chunjie , Wang LongJuan , Ye Jun , Zhong WenJie 
Published: February 2021

Abstract
With the emergence of data islands and the popular awareness of privacy, federated learning, as an emerging data sharing and exchange model, can realize multi-party collaboration under the premise of protecting data privacy and security because the data distributed in multiple devices cannot be sent locally. To achieve benefits for all parties involved, it has been widely used in many fields such as finance, medical care, and education. However, FL also has various security and privacy issues. Starting from the overview of federated learning, this article describes in detail the threat model and existing security issues, including replay attacks, poisoning attacks, reasoning attacks, etc., and then makes a certain analysis of FL privacy protection security technologies. Compared with SMC and HE, differential privacy is excellent in terms of efficiency. Finally, we discussed the challenges of privacy protection and security issues and future research directions.
A Virtual Simulation Experiment System for Requirement Analysis
Authors: Peng Yuyi , He Xinyu , Huang Yiqi 
Published: February 2021

Abstract
The application of virtual simulation technology promotes the reform of experimental teaching methods in colleges and universities to provide reliable support for cultivating students’ professional engineering application ability and improve the overall quality of talent training. Based on real projects, this virtual simulation experiment project adopts the trinity teaching method of ‘virtual environment, actual problems, real ability’. And it makes full use of natural language processing and other AI technology and software technology to provide students with requirement analysis experiments that are very close to reality. The practical environment has played a multifaceted effect and solved the students’ neglect of the importance of requirement analysis.
A Novel Think Tanks Evaluation System Based on Micro Service
Authors: Xiong Shiyong , Huang Benguo 
Published: February 2021

Abstract
With the development of new technology, the traditional single application architecture has been unable to meet a variety of needs of the existing system, in order to solve the inconvenience monomer architecture system maintenance, a series of problems such as poor extensibility, deployment of trouble, micro service architecture is to break up the system, each service function is simple, can complete the function of single responsibility, and deploy alone, without centralized management, a service outage will not affect other service work, reduce the coupling between modules, the system performance improvement. Therefore, micro-service architecture is adopted to develop a new think tank evaluation system. In response to the needs of local think tank evaluation, this paper designs a new think tank evaluation system based on micro-service. The system adopts micro-service architecture to design and develop, and splits the services according to the business of the system. The system was divided into basic service, registration service, audit service, declaration service, review service, scoring service and log service. The communication between the services was realized through RPC remote invocation based on Dubbo distributed framework and Zookeeper distributed application. The system realizes the separation of front and rear ends, each service of the server is implemented with Spring Boot framework, the front end is implemented with vue.js framework, the system use Mysql database, and Redis is used to improve the system performance
Investigation of polymer materials properties to use for additive manufacturing
Authors: Anokhin A , Strelnikova S , Ermakova E , Chuvikina M , Potyomkina E , Fefelov M 
Published: February 2021

Abstract
The paper focuses on properties of polymers to produce core-shell ceramic powders (Al2O3, TiC, ZrO2-Y2O3, TiB2, SiO2, SiC, ZrB2, Si3N4, TiN, B4C) and to set selective laser sintering (SLS) parameters to make ceramic prototypes with complex shape and bionic design. Polymer materials: polyvinyl alcohol (PVOH) grades V, 8/1, 16/1; polyvinyl acetate (PVAc) grades M10 and M100; polyamide (PA) grades 12 carbon, 6/66/610 - 1, 6/66 - 4, 54/10 (6/66 - 1), polystyrene (PS) grades 525M and 825M were investigated to determine glass transition temperature (T
g
), melting (T
m
) and crystallization (T
cr
) points, as well as thermal effects in nitrogen, argon and air. Polymers were heated to temperature comparable to the melting point with step of 5 °C/min and were cooled to 20 °C with differential scanning calorimeter (DSC).
The problems associated with monitoring of main parameters of working areas and technological environments in high technology industry
Authors: Belenkii D I , Magomedov T M 
Published: February 2021

Abstract
The first part of the article describes the regulatory requirements related to the control of the main parameters of working areas and technological environments in high technology manufacturing: number concentration of aerosol particles and cleanrooms classification, mass concentration of aerosol particles in the premises and means for its control, number concentration of particles in liquid media and methods of its control.
In the second part of the article, the trend of deterioration of the technical condition of the existing measuring instruments for disperse parameters of aerosols, suspensions and powder materials is described.
In conclusion, it is proposed to create service and calibration centers for measuring instruments maintenance, as well as shared-use equipment centers based on national metrological organizations.
Functional materials under elasto-plastic deformation
Authors: Brovman T V 
Published: February 2021

Abstract
A theoretical study of the factors affecting the workpiece accuracy under conditions of local plastic deformation has been carried out. The study has shown that when a two-support workpiece is bent by the force applied in the center along its length, plastic deformation occurs only at 1/3 of its length, and 2/3 remains under the elastic deformation. The paper analyzes the technologies and features of transient local plastic deformation, the factors influencing geometry fidelity are determined. The author gives the load function values under which the elastic deformation occurs as well as the carrying capacity loss load for the ideally plastic material unhardened. The function for calculating the values of elastic and plastic deformation zones is determined, which makes it possible to eliminate the need for additional calculations of the plastic deformation zone boundaries.
The influence of multiple phase transformations on functional characteristics in TiNi alloys in various structural states
Authors: Churakova A A , Gunderov D V , Kayumova E M 
Published: February 2021

Abstract
The article were discussed the effect of multiple martensitic transformations with a different number of cycles on the functional characteristics, microstructure and mechanical properties of the TiNi alloys in different structural states and chemical compositions. As a result of multiple martensitic transformations, the accumulation of defects and a decrease in the size of structural elements are observed. The most effective phase hardening is in an equiatomic alloy. The Ti49.8Ni50.2 alloy demonstrates stability to phase hardening in all studied states.