bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversity and distribution of copepods (Class: Maxillopoda, Subclass: Copepoda) in groundwater habitats across South-East Asia
Authors: Lopez Mark Louie D. , Papa Rey Donne S.
Published: August 2019

Copepods have successfully penetrated the groundwater realm through a series of morphological diversifications and adaptations. Research on this taxon has increased over the past decade because of its potential in revealing the status of groundwater environmental health and biodiversity. Despite efforts in documenting this group in other regions, groundwater copepods in South-East Asia remain barely studied. To date, only 47 species belonging to 22 genera from Harpacticoida, Cyclopoida and Calanoida have been documented from groundwater and groundwater-dependent habitats across the region. The steep species accumulation curve from 1980 up to the present indicates a high possibility of discovering more new species. Spatial distribution shows high local endemicity than regional scales, where some species considered to be rare and endemic were actually common in local habitats. Overall, the low number of records in the region is because of the lack of experts and limited accessibility to groundwater and dependent ecosystems, like aquifers and groundwater wells. A more intensive effort in documenting the diversity and distribution of groundwater copepods and building collaborations between experts in the region is highly needed. This information is important in drafting future conservation and management policies for the groundwater resources in the region.
Melt flow and solidification during infiltration in making steel matrix syntactic foams
Authors: Yang Quanzhan , Yu Bo , Hu Huasi , Hu Guang , Miao Zhiquan , Wei Yanpeng , Sun Weiqiang
Published: August 2019

Steel matrix syntactic foam is a promising lightweight and energy absorbing material. In this study, an infiltration casting technology is developed to prepare syntactic foams, which brings in alumina hollow spheres with an average size of around 3.97 mm to make the pores and enhance the properties of the foams. During the process, melt flow along with heat transfer during the infiltration is investigated. The study shows that melt flow and velocity distribution of molten steel are significantly unstable; the critical solid fraction of the steel is 0.67; and the alumina ceramic mould in which the foams are prepared must be preheated to at least 1000°C to prevent incomplete infiltration. Finally, the microstructure of syntactic foams is studied.
Grifola frondosa extract and ergosterol reduce allergic reactions in an allergy mouse model by suppressing the degranulation of mast cells
Authors: Kawai Junya , Mori Koichiro , Hirasawa Noriyasu
Published: August 2019

The increasing number of patients suffering from allergic diseases is a global health problem. Grifola frondosa is an edible mushroom consumed as a health food in Asia, and has recently been reported to have anti-allergic effects. We previously reported that G. frondosa extract (GFE) and its active components, ergosterol and its derivatives, inhibited the antigen-induced activation of RBL-2H3 cells. Here, we demonstrated that GFE and ergosterol also had an inhibitory effect on the degranulation of bone marrow–derived mast cells (BMMCs) and alleviated anaphylactic cutaneous responses in mice. Using an air pouch-type allergic inflammation mouse model, we confirmed that oral administration of GFE and ergosterol suppressed the degranulation of mast cells in vivo. Our findings suggest that G. frondosa, including ergosterol as its active component, reduces type I allergic reactions by suppressing mast cell degranulation in mice, and might be a novel functional food that prevents allergic diseases.
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

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

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

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.
Electronic properties of size-dependent MoTe2/WTe2 heterostructure*
Authors: Liu Jing , Ma Ya-Qiang , Dai Ya-Wei , Chen Yang , Li Yi , Tang Ya-Nan , Dai Xian-Qi
Published: August 2019

Lateral two-dimensional (2D) heterostructures have opened up unprecedented opportunities in modern electronic device and material science. In this work, electronic properties of size-dependent MoTe2/WTe2 lateral heterostructures (LHSs) are investigated through the first-principles density functional calculations. The constructed periodic multi-interfaces patterns can also be defined as superlattice structures. Consequently, the direct band gap character remains in all considered LHSs without any external modulation, while the gap size changes within little difference range with the building blocks increasing due to the perfect lattice matching. The location of the conduction band minimum (CBM) and the valence band maximum (VBM) will change from P-point to Γ-point when m plus n is a multiple of 3 for A-mn LHSs as a result of Brillouin zone folding. The bandgap located at high symmetry Γ-point is favourable to electron transition, which might be useful to optoelectronic device and could be achieved by band engineering. Type-II band alignment occurs in the MoTe2/WTe2 LHSs, for electrons and holes are separated on the opposite domains, which would reduce the recombination rate of the charge carriers and facilitate the quantum efficiency. Moreover, external biaxial strain leads to efficient bandgap engineering. MoTe2/WTe2 LHSs could serve as potential candidate materials for next-generation electronic devices.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Collaborative Filtering Recommendation Algorithm Based on Xml Fuzzy Data
Authors: Jiang Yan , Dong Meihua
Published: August 2019

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

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

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

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

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

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

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.
Research Status and Prospect for Maritime Object Monitoring Technology
Authors: Li Caixin , Li Tianwei , Huang Qian
Published: August 2019

With the increase of marine and fishery activities, the observation of maritime object has attracted more and more attention. This paper introduced the common methods of object acquisition and image analysis about the maritime object, and then discussed the development trend of image analysis with the deep learning method.
Public Auditing Scheme for Shared Data in the Cloud Storage
Authors: Liu Xueyan , He Xiaomei , Lu Tingting , Luo Yukun
Published: August 2019

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

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

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

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

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

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

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

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

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

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

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.