bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrical detection of ferromagnetic resonances with an organic light-emitting diode
Authors: Grünbaum Tobias , Bange Sebastian , Kronseder Matthias , Back Christian H , Lupton John M 
Published: August 2019

Abstract
Organic semiconductors show strong magnetic-field effects in transport and luminescence because of inherently spin-dependent recombination. We explore whether paramagnetic resonance features can be enhanced in a hybrid structure comprising a thin yttrium iron garnet (YIG) film, undergoing ferromagnetic resonance (FMR) and an organic light-emitting diode (OLED). We investigate the effect of radio-frequency (RF) driving of this hybrid structure in a magnetic field. Under these conditions, an indirect bolometric effect enables the detection of FMR driven in the YIG film in the DC resistance of the OLED. The increased RF power absorption of the YIG film under resonance gives rise to a heating of the magnetic film. Subsequent heat transfer to the OLED causes a change in transport characteristics of the device. Good agreement of this electrically detected signal is found with a direct measurement of the RF power absorption. Using temperature dependent measurements, the thermal nature of the resistance signal is confirmed.
Thermally induced degradation of PBDTTT-CT:PCBM based polymer solar cells
Authors: Alam Shahidul , Gavrik Alexey , Meitzner Rico , Hoeppener Stephanie , Dyakonov Vladimir , Baumann Andreas , Schubert Ulrich S , Hoppe Harald 
Published: August 2019

Abstract
Thermally induced degradation of photovoltaic performance in bulk-heterojunction (BHJ) polymer solar cells as a result of changes either in the active layer morphology or at interfaces during operation at elevated temperature is a common phenomenon. In this work, we have studied the thermal stability of a high performance polymer:fullerene BHJ PSCcomprising a conjugated polymer poly{[4,8-bis-(2-ethyl-hexyl-thiophene-5-yl)-benzo[1,2-b:4,5-b0]dithiophene-2,6-diyl]-alt-[2-(20-ethyl-hexanoyl)-thieno[3,4-b]thiophen-4,6-diyl]} (PBDTTT-CT) and a fullerene derivative [6,6]-phenyl-C70-butyric acid methyl ester photoactive layer within a conventional device architecture of glass/ITO/PEDOT:PSS/active layer/Mg/Al. By varying the temperature exposure conditions, the degradation path has been identified as an interfacial change in the device rather than a bulk effect. Furthermore, charge carrier dynamics studied by open circuit corrected charge carrier extraction has shown that post-annealed devices suffer from charge extraction due to the development of interfacial changes as compared to the non-treated devices in both pristine and with 1,8-Diiodooctane added scenarios.
Designing of spin filter devices based on zigzag zinc oxide nanoribbon modified by edge defect*
Authors: Huang Bao-Rui , Zhang Fu-Chun , Yang Yan-Ning , Zhang Zhi-Yong , Wang Wei-Guo 
Published: August 2019

Abstract
The spin-dependent electronic transport properties of a zigzag zinc oxide (ZnO) nanoribbon are studied by using density functional theory with non-equilibrium Green’s functions. We calculate the spin-polarized band structure, projected density of states, Bloch states, and transmission spectrum of the ZnO nanoribbon. It is determined that all Bloch states are located at the edge of the ZnO nanoribbon. The spin-up transmission eigenchannels are contributed from Zn 4s orbital, whereas the spin-down transmission eigenchannels are contributed from Zn 4s and O 2p orbitals. By analyzing the current–voltage curves for the opposite spins of the ZnO nanoribbon device, negative differential resistance (NDR) and spin filter effect are observed. Moreover, by constructing the ZnO nanoribbon modified by the Zn-edge defect, the spin-up current is severely suppressed because of the destruction of the spin-up transmission eigenchannels. However, the spin-down current is preserved, thus resulting in the perfect spin filter effect. Our results indicate that the ZnO nanoribbon modulated by the edge defect is a practical design for a spin filter.
A Game Theoretical Based Self-Organization Scheduling Mechanism Mesh Networks in UAVs (unmanned aerial vehicles) cooperative multi-task assignment
Authors: Yu Jun , Shi Xiaomin 
Published: August 2019

Abstract
The UAVs system is vigorously promoted in several fields. The Information Synchronization of Unmanned Aerial Vehicles is an important factor that affects the coordinated control of UAVs. We proposed a game theoretical based self-organization Scheduling mechanism (GTSS). The GTSS is applied to solve unmanned aerial vehicle (UAVs) cooperative multi-task assignment problem. It mainly sets a repeated game model in the communication scheduling among the UAVs.
Multi Feature Selection based Network Traffic Anomaly Detection Method
Authors: Wang Rui , Fang Jiafu , Yang Zhiye , Li Haiwei 
Published: August 2019

Abstract
In this paper, a method is proposed to solve the difficult problem of the training model and the dynamic variability of the deployment environment. Firstly, the network traffic data is converted into numerical value and projected onto histograms of different dimensions to construct detection vectors. Based on the detection vector, some kinds of classifiers are compared. SVDD, which can handle high-dimensional data and has strong generalization ability, is chosen for anomaly detection. Secondly, in order to improve the true positive rate of detection and reduce training time, the classifier is trained continuously and trying various different combinations of features. Finally, a multi-step correlation detection algorithm is adopted to optimize the detection accuracy, and obvious abnormal samples are eliminated from the newly added samples, reducing the training cost and improving the classification accuracy. Through experiments based on a large amount of real network traffic data, the result demonstrate that the proposed method has higher accuracy and lower false alarm rate, and can effectively reduce the training cost.
Several Methods for Constructing White-box Solutions
Authors: Lin Tingting , Yan Hailun , Lai Xuejia , Qiu Weidong 
Published: August 2019

Abstract
White-box cryptography is an important countermeasure for providing software security in untrusted environments. While almost all public white-box solutions have been broken, the methods for constructing such solutions are worth learning. In this paper, we introduce several classic methods for constructing white-box solutions. The methods are divided into two categories: those that make the white-box solutions functionally equivalent to existing ciphers, and those that do not. In each category, we explain each method using steps and figures. Our introduction covers almost all the general methods for constructing white-box solutions and aims at presenting a full overview of white-box designs.
Intelligent Shipyard Inventory Non-Surplus Inventory Control Algorithm and Empirical Research
Authors: Liu Sitong , Song Yan , Jin Xiwen , Han Yixuan 
Published: August 2019

Abstract
There is still a big gap between China and other advanced shipbuilding countries, such as digital fields, networking and intellectualization. The inventory management leads to more inventories, growing cost, slower construction progress, and so on. Therefore, the idea of “no surplus” inventory management was put forward, which was established on scientific and effective prediction of the stock allowance of shipbuilding materials. Then, the appropriate algorithms were studied to serve the idea above. This study considered two-stage predictor construction. First stage 3 single predictors were constructed, including ARIMA model, improved PSO (particle swarm optimization)-SVR (support vector machine) and Wavelet Neural Network. Then the second stage constructed a strong predictor formed by the integrated algorithm. The effectiveness of the algorithm is verified by the contrast test. Then an empirical case was used to show how a non-surplus inventory scheme came to be. At last, the relevant countermeasures for the above scheme were proposed.
Learning-based Incentive Mechanism Design for Crowd Sensing
Authors: Yan Han , Gao Hui 
Published: August 2019

Abstract
Crowd sensing campaigns encourage ordinary people to collect and share sensing data by using their portable smart devices like smartphones, iPad and iWatch. However, how to encourage participants to contribute sensing data is still a challenge. In this paper, we propose a learning-based incentive mechanism to maximize the collected amount of data under the constrained condition of limited task budget. Essentially, the mechanism sets different data collected price of every block based on the historical collection condition. The set price on one hand should make sure of that the total cost doesn’t exceed the limited budget, on the other hand, that participants are willing to contribute sensing data. It has been shown by simulation results that our proposed algorithm collects more amount of sensing data than that of the other two comparison algorithms.
Analysis of Industrial Ethernet used in Active Surface System of QTT
Authors: Xue Fei , Xiang Binbin , Kazezkhan Guljaina , Wang Na , Chen Maozheng 
Published: August 2019

Abstract
Industrial Ethernet is widely used in automation and control system because of its high reliability and good communication performance. There are several protocols for Industry Ethernet. In different applications, it is necessary to select a appropriate protocol standard according to different needs. In order to apply industrial Ethernet in the active surface system of QTT, the control network requirements of active surface system were summarized. The period and jitter of three protocol standards, Ethernet/IP, Profinet RT and EtherCAT, were tested by evaluation hardware. The differences between network configuration and ring redundancy settings are analyzed. The results show that EtherCAT is more suitable for the network application requirements of active surface system of QTT.
Interactive Platform of Gesture and Music Based on Myo Armband and Processing
Authors: Cui Xinyu 
Published: August 2019

Abstract
This interactive platform of gesture and music is an interactive product developed with the Myo armband. We conduct EMG gesture recognition research, mainly using the DTW algorithm to calculate the distance between the templates, so we can use the DTW algorithm for real-time gesture recognition. We used p5 and Processing for development, and completed sound recording and sound processing by reading the gestures of Myo. The user can feel the change of music when issuing the action command. At present, we have completed the development of three modes: vibrator, sound changer and audio processor.
Research on Risk Identification for Foreign Companies Investing in Mongolia Infrastructure Construction Industry Based on Complex Network Technology
Authors: Yang Ruicheng , Zhao Wenjing , Jiang Qi , You Wei 
Published: August 2019

Abstract
In order to identify and circumvent the investment risk of foreign companies in Mongolia, this paper constructs a risk factor system for foreign companies to invest in Mongolian infrastructure construction industry. Using the dynamic data of relevant risk factors from 2010 to 2016, the adjacency matrix and the edge weights of the risk factors were calculated. Based on this, a complex risk network is established to calculate the node importance of each risk factor. On the basis of node importance, the paper analyses the risk of foreign companies investing in Mongolian infrastructure construction industry, and divides the risk factors into three levels.
Research on the Construction and Application of A Cloud Computing Experiment Platform for Computer Science General Education Courses
Authors: Xiong Nian , Liu Xiaoli , Zhou Shan , He Zhenyu , Lin Longxin , Lu Yaosheng 
Published: August 2019

Abstract
Cloud computing is a new type of service computing model that has developed rapidly in recent years. This paper analyzes the common problems in the experimental teaching of computer science general courses in colleges and universities and combines the significant advantages of cloud computing in dynamic allocation and flexible sharing to build a cloud computing experiment platform for computer science general education course. The platform of general education curriculum, design platform structure and experimental system model are designed, and then the practical effects and advantages of the platform are analyzed. Practice shows that the platform has certain application values, and it can effectively stimulate students’ interest in learning and enhance teaching effect.
Revisiting the Current State-of-the-art Multipath Routing in Ad Hoc Networks
Authors: Yan Wenyao , Wang Wendong 
Published: August 2019

Abstract
Ad Hoc network is one of the popular wireless multi-hop networks. Nodes or Users in Ad Hoc network can move randomly and freely to maintain communication without the control of the fixed infrastructure. Due to the limited transmission power and wireless coverage of the terminal, if two terminals that are beyond their respective transmission radius need communicate, they must use other intermediate or relay nodes for packet forwarding, so that a wireless Ad Hoc network is formed among these nodes. In this paper, the current state-of-the-art multipath routing protocols for Ad Hoc networks are reviewed. Particularly, the pros and cons of them are analyzed. Finally, they are summarized and compared.
Research and Application of Flood Regulation System Based on Visual Studio
Authors: Sun Ping , Li Huijun , Wang Tingting , Dong Huahong 
Published: August 2019

Abstract
Due to the characteristics a pumped storage power station owns, the issues it considers concerning flood regulation calculation differ from those of a regular hydropower station. Take the flood regulation system of Hongs pumped storage hydropower station as a study case, the business requirements of flood regulation for regular hydropower station reservoir and pumped storage hydropower station is analyzed. Based on Visual Studio development platform, design systematic functional structures, elaborate the design ideas of core function modules in system development, such as database management, flood regulation principles and information inquiry, etc. Finally introduce the application of the system on flood regulation in Hongs pumped storage hydropower station reservoir.
Research on Red Force and Blue Force Confront Simulation System of Navy Surface Warship
Authors: Guo Rui , Han Jiajia 
Published: August 2019

Abstract
All the world’s military powers attach great importance to the training of Imaginary Enemy Force, and the high level of simulation of fighting between red force and blue force has become an important mode of military exercise. On the basis of introducing the function of red force and blue force fighting simulation system of naval surface warship, this paper analyzes the structure of the system and the logical relationship between its parts, puts forward 10 key steps of the system operation flow, and finally looks forward to the impact of the new technology. The structural design and process steps proposed in this paper can be applied to the development of other analog countermeasure systems.
Fuzzy Evaluation Method for Comprehensive Performance of Urban Public Traffic Networks
Authors: Li Hailian , Lin Mengkai , Wang Qicai 
Published: August 2019

Abstract
Aiming at the comprehensive performance evaluation of urban public transport network, this paper established an evaluation index system of urban public transport network with target layer, criterion layer and index layer based on analyzing its subjective and objective influencing factors. Otherwise, a method for determining the weight of the comprehensive performance evaluation index of the city bus network and its evaluation model were presented by using fuzzy mathematics principle. The validity and feasibility of the model and method are further validated by the evaluation of the comprehensive performance of the existing bus network in Lanzhou New District. The evaluation results provide theoretical support for the further optimization of urban bus network.
The Establishment of Pointing Model for the Shanghai VGOS Radio Telescope
Authors: Sun Zhengxiong , Wang Jinqing , Wang Guangli 
Published: August 2019

Abstract
Using a pointing model is a common practice among radio telescopes devoted to astronomy to correct for mechanical misalignments. Pointing accuracy is one of the most important indicators for the performance of radio telescopes, especially radio telescopes with a large diameter or which operate at high frequencies. The general requirement for deviation in pointing is less than 10% of the antenna’s half-power beamwidth. The method to establish the pointing model for the Shanghai VGOS radio telescope is described. Obtaining a large amount of test data by scanning the strong power source in the whole sky zone. Fitting these data by Gaussian to find the pointing deviation. We believe that a physical model is more desirable since it allows to identify the source of the pointing errors and may help in removing or minimizing the causes. Finally, an eight-parameter pointing model is built after fitting all the collected single-point errors. It is verified that the model works well in the broadband feed systems
Intelligent Health Nursing System Based on Cloud Platform
Authors: Teng Yilin , Wang Rui , Xue Hui , Yang Chunbo , Xu Jing 
Published: August 2019

Abstract
The health of the elderly is mainly disturbed by chronic diseases. As the proportion of older persons living alone is increasing, the health problems of elderly have received extensive attention. Now the rapid development of sensor technology and network technology provide a technical guarantee for the realization of real-time health nursing. The existing intelligent nursing system does not reuse nursing data after judging the user’s health status and choosing alarm processing. This paper proposes a new intelligent health nursing system architecture, which integrates sensor network and wireless communication network, and uses FPGA cloud Platform to complete data storage and processing, which can effectively avoid the loss of function limited by the power consumption and computational performance of the user’s device. In addition, through the deep learning algorithm, the accuracy of abnormal nursing can be effectively improved as well.
System Design of Multiple Network Platform Outpatient Appointment Registration System for Large General Hospitals
Authors: An Zexin , Zhang Xiao 
Published: August 2019

Abstract
This paper analyzed the current registration situation of outpatient patients in hospitals, scientifically allocated and shared medical resources, standardized doctor scheduling, classified and integrated disease source, and established a multi-platform appointment and triage process system; arranged the reception work in advance, optimized the treatment process, and provided multi-channel unified patient appointment; increased the interaction between patients and doctors, and reduced the medical costs of ordinary and minor patients. A new mode of humanized medical service was constructed.
How Augmented Reality Affects People’s Perceptions: Adoption of AR in Product Display Improves Consumers’ Product Attitude
Authors: Sun Dong , Xu Lan , Zhang Lei , Cui Nan 
Published: August 2019

Abstract
Augmented reality has emerged as a novel communication tool which adds virtual computer-generated information to viewers’ real life. Although a wealth of research has investigated the effect of AR technology on consumers’ attitude, little is known about the underlying mechanism of how it influences consumers’ attitude. The purpose of this paper is to address the problem. Two experiments were performed to test the effect of AR based product display on consumer’s attitude and the underlying mechanism of the effect. Specifically, in Experiment 1, the authors presented a bottle to 92 participants (43 women, 39 men, mean age = 25.78) via three different methods: AR based display, non-AR based display without background, and non-AR based display with a background to verify the main effect. Additionally, another 100 volunteers (65 women, 35 men, mean age = 24.16) participated in Experiment 2 to verify the mediating effect. The results have demonstrated that the effect of AR based display on consumers’ product attitude is mediated by Self-referencing reality simulation. The current research suggests that managers should develop and adopt AR technology in their product display which can improve consumers’ product attitude.
Data Preprocessing for Agricultural IoT Based on RBF Neural Network
Authors: Huang Qihui , Ma Yajie , Zhang Jin 
Published: August 2019

Abstract
The collected data obtained in the agricultural environment is not simply linear and stable, complex nonlinear functional relationships can be found. While RBF neural networks have the ability to approximate arbitrary nonlinear mappings and can implement the functions of nonlinear predictors with superior performance for data forecasting. Considering the strong time correlation of agricultural data, this paper proposes a time series model based on RBF neural network for preprocessing raw data. A four layer of agricultural IoT system is designed, a data processing layer is inserted into the traditional three-layer IoT system. Then the abnormal value is identified and eliminated by the “t testing criteria” test on the data preprocessing. The experimental results indicate that, comparing with auto regressive moving average model, the proposed model can achieve more competitive prediction ability.
Research on Data Quality Assessment of Accuracy and Quality Control Strategy for Sensor Networks
Authors: Zhang Jin , Ma Yajie , Hong Doudou 
Published: August 2019

Abstract
In this paper, to make the data meeting the network application has a specific standards, it is necessary to apply a scale to measure the attributes of data in sensor network, for the concept of data-based sensor networks service quality is relatively vague. Based on the signal-to-noise ratio quality model proposed by Mini Mathew et al, the data quality evaluation standards are introduced. The definitions of accuracy and timeliness for sensor data are given with the understanding of data quality management. Then according to the maximum entropy algorithm of processing sensor data, the relationship between accuracy and network communication parameters is derived. Finally, the unity and limitations between data accuracy standard and signal-to-noise mode are discussed. The relationship between the sampling frequency and the data quality accuracy is analyzed as well.
Design of Ship Information Transmission for Remote Fault Diagnosis
Authors: Zeng Bin , Yao Lu , Zhang Jin 
Published: August 2019

Abstract
It is important for an intelligent ship to collect the fault information and transmit them to the maintenance department or engineers onshore. Based on the advantages of Internet and related supporting technologies, a data management platform is proposed by utilizing the Internet and other technologies in transmission of fault detection information between ships and shores. Three components of the platform structure are presented in detail for different application scenarios including data transmission within shipyard, outside of shipyard and on the move. In the platform, commercial facilities are taken as examples, and issues of the structure performance are also discussed. The design of ship remote diagnosis platform can provide a reliable and stable application basis for the development of intelligent ship.