bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collaborative Filtering Recommendation Algorithm Based on Xml Fuzzy Data
Authors: Jiang Yan , Dong Meihua 
Published: August 2019

Abstract
To analyse the limitations of traditional recommendation algorithms, we propose a collaborative filtering recommendation algorithm based on XML fuzzy data. Firstly, the method grasped and modelled the fuzzy attribute features of items and established the membership matrix of fuzzy attribute features, then used XML similarity calculation to extract the similarity between project fuzzy attribute features and combined it with the traditional collaborative similarity to get the comprehensive similarity. Finally, recommendations were made through this comprehensive similar. Experimental results show that, compared with the traditional collaborative filtering recommendation algorithm, the establishment of membership matrix of fuzzy attribute features solves the problem that the description of goods or items is usually fuzzy, which makes the calculation of neighboring items more accurate and improves the accuracy of the recommendation system. At the same time, when the new item has no user scoring information, it can be recommended through the similar of the fuzzy attribute features among items, thus effectively solve the cold-start problem.
Design of Pose Controller of Underwater Supercavitating Vehicles Based on Variable Structure
Authors: Ye Huijuan , Zhang Xiyong , Wang Xinye 
Published: August 2019

Abstract
On the basis of dynamic modeling for underwater supercavitating vehicles, the paper designed controllers adopting variable structure control strategy whose robustness can suppress unknown disturbance caused by imprecision existed in dynamic modeling. Theory analysis and simulation show that the controller designed can make pose angle track course angle of trajectory steadily, realize decoupling controlling between three pose moving subsystems and have good robustness for outside interference and model’s error, which assure that supercavitating vehicles have good maneuverability.
Monocular Multi-feature Fusion Hand Gesture Recognition Method Based on Multi-core Learning
Authors: Zhuang Kai 
Published: August 2019

Abstract
Based on multi-core learning, this paper uses the method of skin color segmentation, fingertip distance detection and extraction and gesture contour extraction, which realizes the fusion of local features and overall features and makes the accuracy of hand gesture classification, reach 92%. Compared with traditional gesture recognition based on binocular camera, our algorithm using multi-core learning has the same accuracy as the recognition based on binocular camera, and the complexity and cost of our algorithm are lower. Thus, our algorithm has broader application prospects. Compared with gesture recognition based on monocular camera, our algorithm is more suitable for the background environment of gesture classification. In other words, it has better generalization ability.
Research on Logistics Demand Forecast based on the Combination of Grey GM (1, 1) and BP Neural Network
Authors: Du Baochai , Chen Ailing 
Published: August 2019

Abstract
The steady development of China’s economy has led to the rapid development of the logistics industry. Nowadays, the logistics efficiency in the world has been at a high position, but compared with advanced developed countries, logistics costs are still higher. Establishing an effective logistics demand forecasting model is of great significance to reduce logistics costs and optimize the layout. This paper establishes a combined model based on the research of grey GM (1, 1) and BP neural network considering the scope of application and error. Using the combined model to fit the freight volume data of China in the past 20 years, the results show that the combined model has less error and higher precision in the forecasting of logistics demand.
4-Peg Hanoi Towers Algorithm Animation Demonstration System Based on Html5
Authors: Wang Tao , Zhou Yiwen , Liu Zhihang 
Published: August 2019

Abstract
Differing from the previous studies on demonstration Hanoi Tower algorithm based on desktop implementation, this paper adopts cross-platform HTML5 technology, drew on the references of three-peg Hanoi tower animation on the basis of fully study from the theory and realization of four-peg Hanoi tower, designed the animation implementation of four-peg Hanoi tower, simplified animation implementation and application popularized, intuitively expresses the relationship between the optimal number of moving steps and the section score in four-peg. The implementation method can also be applied to animation demonstration of other algorithm principles, and has a high reference value.
Construction and Application of Risk Ontology in Logistics Finance from the Perspective of Risk Correlation
Authors: Bo Yang , Xinfei Wang 
Published: August 2019

Abstract
Previous research on logistics financial risk pre-warning and pre-control focuses on the linear causal relationship between risk and risk events. In fact, risk events in logistics financial field are often caused by multiple risk factors, which are directly or indirectly related to these risk factors. Therefore, it is helpful for the healthy development of logistics finance to find out the related risks of each logistics financial risk event and screen and control them one by one. This paper proposes OntoLFR(Logistics Financial Risk Ontology), and constructs the logistics financial risk ontology model to adapt to the variability, complexity and relevance of risk in early warning and pre-control. Taking the risk event (RW_risk) of the financing enterprise to escape, the feasibility of using the logistics financial risk ontology model for risk-related reasoning and analysis is verified.
Traceability System of Agricultural Product Based on Block-chain and Application in Tea Quality Safety Management
Authors: Liao Yuxin , Xu Ke 
Published: August 2019

Abstract
In recent years, with the increase of consumers’ attention to the quality of agricultural products, reliable and reliable traceability technology of agricultural products has been paid more attention. This paper proposed a block-chain traceability system based on smart agriculture with the integration of wireless sensor network. The system has realized the agricultural product traceability system based on Ethereum. After farmers access to the system, data acquisition front-end data storage to block-chain system, the use of block-chain itself has the characteristics of decentralization, tamper-resistant, security encryption, combined with the backend database management and traceability QR code to provide consumers with safe, reliable and real farm products traceability information. Building a holographic database of the tea whole industry chain from farmland to table, adopting the food risk assessment and safety traceability technology based on the hazard factor to design the multi-role, multi-link and multi-factor intelligent management system to realize the efficient control of food quality and safety.
Public Auditing Scheme for Shared Data in the Cloud Storage
Authors: Liu Xueyan , He Xiaomei , Lu Tingting , Luo Yukun 
Published: August 2019

Abstract
Cloud storage is widely used by both individual users and organizational users due to its efficient and scalable data storage services. Because of the vulnerabilities of hardware/software, human error and malicious attacks, the audit of data integrity in cloud has become the focus of research. However, how to efficiently check the integrity of cloud data and protect the confidentiality of shared data and anonymity of user identity, is still a sharp problem. In this paper, we propose a privacy-preserving mechanism to reduce the security risks in existing schemes, which enables public auditing on shared cloud data. Specifically, identity-based signature is introduced in our scheme, which effectively prevents collusion attack from forgery of signatures. At the same time, the auditors cannot obtain the identity of the signer on shared data. In addition, multiple auditing tasks can be accomplished at one time rather than one by one in our scheme, thus, the efficiency of verification is greatly improved. The theoretical analyses shows that our scheme is correct, secure and privacy protection, and our experiments show that our scheme can efficiently achieve integrity audit of cloud data.
Numerical Simulation of High-Speed Fragment Penetrates the Target Plate with Water Wall
Authors: Chen Cai , Shi Quan , You Zhifeng , Wang Yadong , Li Feng 
Published: August 2019

Abstract
Aiming at the problem of large risk factor and low test efficiency of the large-volume ammunition fragmentation test, a new method for comprehensively collecting the damage parameters of the fragments by using the water wall in front of the target plate was proposed. The dynamic simulation software AUTODYN was used to simulate the process of the fragment penetration the target plate with the water wall and without the water wall. The influence of the thickness of the water wall on the penetration capability was analyzed. The calculation results show that compared with the target plate without the water wall, the target plate with the water wall can greatly reduce the penetration ability of fragment, and the greater the thickness of the water wall, the weaker the penetration ability.
The Design of the Intelligent Car Based on the Arduino UNO and Lab VIEW
Authors: Tang Lili , Huang Wei , You Jie 
Published: August 2019

Abstract
The design of wireless remote control intelligent car uses PC-side LabVIEW host computer control software responsible for the interaction interface with the car, uses serial communication module APC220-43, one is connected to the PC to send commands from the host computer, the other is connected to the Arduino UNO to receive instructions from the host computer, and uses open source MCU controller Arduino UNO lower computer is responsible for receiving, parsing and executing instructions sent by LabVIEW. The upper computer and the lower computer carry out long-distance transmission of instructions through APC220-43 wireless serial communication module to realize the remote control of the car and the measurement of temperature, humidity and distance data. This design scheme provides certain reference value for the design fields of smart home, smart transportation, remote assistance, etc.
Revisiting Recent and Current Anomaly Detection based on Machine Learning in Ad-Hoc Networks
Authors: Wang Zhixiao , Chen Mingyu , Yan Wenyao , Wang Wendong , Gao Ang , Nie Gaoyang , Wang Feng , Yang Shaobo 
Published: August 2019

Abstract
Ad-Hoc network which is one kind of self-organized networks is much more vulnerable than the infrastructural network with the properties of highly changeable linkage, dynamic structure, and wireless connections so that the tradition intrusion detection system (IDS) should be improved to adapt in such network with limited computing resources and open channels. To ensure the security in Ad-Hoc network, the efficient anomaly detection methods should be probed. Over the past years, many studies have implemented anomaly detection methods (intrusion detection techniques) based on machine-learning methods in this field. This article analyzes the existing security problem in Ad-Hoc network, presents the basic theory of intrusion detection for Ad-Hoc network, and reviews the current and recent anomaly detection methods used machine learning techniques in the intrusion detection system.
Analysis and Design of Training Room Reservation Management System Based on SSH Framework
Authors: Wang Ting , Bie Chuanfeng 
Published: August 2019

Abstract
In order to improve the management and service quality of the training room, we designed and established a reservation management system to solve the problems in manual reservation management. These problems included low reservation efficiency, information asymmetry of whether the training room was free or not, inability to uniformly manage the data of all training rooms, and so on. In this paper we analysed the functions of the system, and designed the system’s business process, database, system architecture, etc. The training room reservation management, reservation record timeout processing, user role authority management, query and statistics and other functions were realized. The construction and application of the system had transformed the training room from paper-based reservation management to online reservation management, which improved the efficiency and specification of the training room reservation management.
Research on Equipment Support Capability Evaluation based on Information Fusion
Authors: Geng Junbao , Wei Kejia , Li Ming 
Published: August 2019

Abstract
The evaluation of equipment support capability cannot be ignored in the work of equipment support, and the evaluation results directly affect the formulation and decision-making of the support scheme. In view of the multi-source uncertain information in the process of evaluation, this paper proposes an equipment support capability evaluation model based on information fusion, and uses the D-S evidence theory to model and evaluate the uncertainty. The results show that the proposed method is effective. It can be used in engineering practice.
Temperature Control Measurement of Bridge Foundation Concrete based on the Optical Fiber Sensing Technology
Authors: Li Chunfeng , He Wenyong , Luo Yong , Zou Yuanjiang 
Published: August 2019

Abstract
Temperature monitoring is an important component of structural health monitoring of mass concrete after pouring. This study investigates temperature measurements of mass concrete based on Brillouin optical time-domain analysis (BOTDA). First, the fundamental principle of using BOTDA-based distributed optical fiber sensing (DOFS) technology to measure temperatures is provided. Then, a temperature-measuring system is introduced. Finally, a case study on an engineering structure was conducted to explore issues relating to the practical application of BOTDA-based DOFS technology, including optical fiber cable laying and protection, measurement and results analysis. In addition, point temperature sensors and precision thermometers were used to measure the temperatures at several points along the optical fiber cable and the ambient temperature, respectively. The measurement results were compared with those measured by the optical fiber cable. Our study shows that BOTDA-based DOFS technology can be used to take accurate distributed temperature measurements of mass concrete structures. This temperature-measuring method provides an effective means for measuring the temperature of mass concrete structures.
Design of Communication Among Vision System, PLC and Industrial Robot based on Modbus-TCP protocol
Authors: Meng Fanwen , Zhang Yuxiang , Yang Dongkai 
Published: August 2019

Abstract
In order to solve the problems of small system, single machine and single function operation of industrial robots and improve the automation of the system, Modbus-TCP protocol is used as communication platform to realize data exchange among industrial robot, vision system and main control PLC, and an automatic assembly control system composed of Siemens S7-1200 PLC, industrial robot, vision system, conveying line and assembly line is constructed. The application of the system in automatic identification and assembly line will improve production efficiency and reduce labor costs.
Research on Digital Signal Processing Experiment System Based on Virtual Instrument Technology
Authors: Zhou Nanquan , Quan Xiaoli , Wang Ying 
Published: August 2019

Abstract
A virtual demonstration experiment system has been designed by using the development environment LabVIEW which is used in digital signal processing teaching in the paper, Nyquist sampling theorem and the relation between circular convolution and linear are introduced in the paper. Teacher could dynamically demonstrate that the variable signal parameters had an effect on experiment phenomenon in these teaching programs. This experiment system has many distinct features such as openness, extension, interaction, digitization, network, modularization, economization, it is both a new way of experimental teaching and a new direction in the experiment teaching innovation, it will powerfully promote the innovation of teaching idea and teaching mode.
Design and Numerical Study of Electro-Hydrostatic Actuator
Authors: Yang Yousheng , Niu Wenqian , Zhao Jing 
Published: August 2019

Abstract
In order to improve the compactness and integration of electro-hydrostatic equipment to meet their miniaturization, a new electro-hydrostatic actuator (EHA) scheme is proposed, and the working principle and feature are introduced. The physical model of EHA is developed, numerical studies have been done to investigate the static and dynamic performances including the output force-pressure characteristics, the output speed-flow rate relationship, the load capacity and the dynamic response. The results show that: (1) the output force of the actuator is proportional to the working pressure and the output speed is proportional to the flow rate. (2) the EHA has a better load capacity, and the maximum output force is around 3720 N. (3) under a rated load of 3000N, the EHA has good dynamic performances with a rise time of 0.056s, an overshoot of 1.63% and a transient time of 0.17s. (4) the EHA can respond quickly and realize precise positioning. (5) the response time is related to the load, the pump displacement and the actuator effective area. The research results provide a theoretical basis for the development of high power density and efficient EHAs.
How likely is an El Niño to break the global mean surface temperature record during the 21st century?
Authors: Hsu Chia-Wei , Yin Jianjun 
Published: August 2019

Abstract
The likelihood of an El Niño breaking the annual global mean surface temperature (GMST) record during the 21st century is derived from 38 climate models from the Fifth Coupled Model Intercomparison Project (CMIP5). We find that, under a low emission scenario, one out of three El Niño events break the GMST record. The probability significantly increases to four out of five in a high emission scenario. About half of strong El Niños, but only one-fifth of weak El Niños, can set new GMST records in a low emission scenario. By contrast, even weak El Niños break the GMST record more regularly (68 ± 8% chance) in a high emission scenario. Both a stronger El Niño and a higher emission scenario induce a higher record-breaking GMST with a magnitude range from 0.03°C to 0.21°C above the previous record. El Niño accounts for more than half of record-breaking GMST occurrences in all emission scenarios. A comparison between CMIP3, CMIP5, and CMIP6 suggests that the analyses are not affected by model generations.
A hybrid data mining model for Indonesian telematics SMEs empowerment
Authors: Tosida E T , Andria F , Wahyudin I , Widianto R , Ganda M , Lathif R R 
Published: August 2019

Abstract
The power of information technology and communication (telematics) is one of the vital forces for every country. In the Industrial Revolution 4.0 era, the development of telematics was one of the priorities of the Indonesian government nawacitas. The development of the field of telematics in Indonesia for a decade is inseparable from the role of SMEs. The role of telematics SMEs in the strength of national development can be mapped through the optimization of National Economic Census data (Susenas). The detailed 2016 Susenas data has not been released by BPS. Therefore, this research still uses 2006 Susenas data. The 2016 Susenas recapitalization shows that Indonesian telematics has a very large power, consisting of 2.6 million players. This great strength needs to be optimized to have high competitiveness so as to be able to support Indonesia’s development. The purpose of this study was to conduct hybrid data mining modeling to be used as a decision model in mapping the classification of Indonesian telematics SMEs. The classification map includes the feasibility of assistance for the empowerment of Indonesian telematics SMEs, business prospects and development plans for Indonesian telematics SMEs. The hybrid data mining model with K-Medoids & C4.5 technique shows better performance compared to other models, with an average accuracy rate of 71.87%. This model validation test also involves K-fold cross validations.
Development of data reconciliation system for billing process at PT Perusahaan Gas Negara
Authors: Hadianti R , Ihsan A , Mujiyanto A , Uttunggadewa S. 
Published: August 2019

Abstract
We study a problem faced by PT. Perusahaan Gas Negara (abbreviated as PGN), the Indonesian company in the natural gas transportation and distribution segment, in developing data reconciliation system for billing process. PGN serves its residential, commercial and industrial customers’ natural gas need through transmission pipelines. We focus our study on the billing process for industrial customers, where gas consumptions are measured by combining measurement results from turbine meter, temperature measurement device and pressure measurement device. Normally, customers’ bills can be obtained directly from volume metered by volume measurement device. But in every month there are a number of anomaly behaviour in customers’ gas consumption data or reports on meter failure, although statistically there are less than 1% of meter failure or anomaly behaviour from all customers’ data. Due to the large number of on-site meters which located in very wide area in Sumatera and Java islands, sometimes defective meter problems are already resolved after several days since the problem was reported/indicated, and this can generate loss for PGN. In this paper, we perform analysis to answer: 1. how to determine the beginning of the period where a volume meter is fail, 2. how to estimate gas volume delivered to the customers during the meter failure. The first problem is solved by analysing historical volume, temperature, and pressure data of each customer. The analysis results, in line with Spitzglass (Energy) Equation, that gas flow is linear to the pressure drop between the pressure at distribution pipe and the pressure at the customer’s pipe. We derive a procedure for detecting anomaly in gas volume data based on this phenomenon, where we reconcile the volume data and the pressure data and categorize the reconciled data into normal type or anomaly type data. The period during the meter failure is then determined as the period where the data in this period are of anomaly type. As soon as the period during the meter failure is determined, we then need to estimate the gas volume delivered during this period. We apply some forecasting methods for time series data such as AR(p) and Holt Winters models, and we choose the estimation from the forecasting model with the smallest error. The solution of those problems will be used for calculating bills for those customers which experience meter defective in the billing month. We develop a graphical user interface based on the anomaly detection method and the forecasting method. This system has been implemented, tested, and used by Energy Management Division of PGN, and will be developed into an energy management system.