bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect Analysis of GNSS Traditional Interference Suppression Method on Fast Chirp Interference
Authors: Zhang Haiyu , Chen Feiqiang , Lou Shengqiang , Li Zhengrong , Sun Guangfu 
Published: November 2019

Abstract
With the wide use of the global navigation satellite system (GNSS), its vulnerability has become an increasing serious problem. More specifically, interference is one of the severe challenges faced by GNSS applications. There are relatively mature detection and excision methods for the simple interference currently, such as pulse interference, single-tone interference, and narrow-band interference. On contrary, for complicating interference, such as fast chirp interference, there are a few effective suppression methods. In this paper, the model of periodic fast chirp signal is built first. Then, several traditional interference suppression methods of GNSS receiver are used to excise fast chirp interference to analyse their feasibility. Finally, both theoretical analysis and simulation results show that traditional interference suppression methods for the GNSS receiver do not perform well on fast chirp interference.
Detection and Recognition of Defects in X-ray Images of Welding Seams under Compressed Sensing
Authors: Ye Han , Juefei Liu , Huijun Liang , Yuejun Zhang , Weixin Gao 
Published: November 2019

Abstract
In order to solve the defects in welding seams of submerged arc welding, the X-ray images were used to detect defects. By comprehensive analysis and experimental study, the offline database of defects in welding seams was established, and online intensification and segmentation algorithm as well as recognition method based on the compressed sensing for defect images were designed. First, the defect database of X-ray images of welding seams was established by the offline data. After the welding images were acquired, the defect segmentation and acquisition algorithm based on the clustering method were proposed. A series of characteristic values of defects in the offline database were used as atoms in the compressed sensing algorithm dictionary, and atoms were optimized with the PCA method, to facilitate the improvement of the processing speed. Supported by the optimal dictionary, the category of defects was obtained. The actual analysis of circular and linear defects was carried out to give ROC curves classified in two cases.
An adaptive ant colony evacuation model based on CCRP optimization algorithm
Authors: Shuai Xuanyue , Wang Dongqi , Li Xuanhe , Pan Qiuhui 
Published: November 2019

Abstract
With the occurrence of terrorist attacks in tourist attractions, safe and efficient population evacuation scheme becomes very important. Effective evacuation plan can reduce casualties and economic losses, and more reasonable and scientific evacuation plan is of great significance. At present, most of the existing evacuation algorithms are for Single-storey buildings. Even for multi-storey buildings, they can not take into account the types of tourists and some additional interference factors in evacuation, and can not accurately estimate the shortest evacuation time needed, and can not be widely applied to various buildings. To solve these problems, an adaptive ant colony model based on CCRP optimization algorithm is proposed to help Louvre visitors escape from danger effectively in terrorist attacks. In this paper, the shortest escape time is accurately predicted, and the simulation results are basically consistent with the results of the model. Finally, three landmark buildings, Elements Museum in Austria, Student Apartment in Switzerland and Wal-Mart, are solved, which further illustrates the validity and universality of the model.
Bracelet-based Monitoring and Analysis Tool for Daily Life Behaviors
Authors: Hu Binmei , Li Ting 
Published: November 2019

Abstract
As China’s economy develops and people’s attitudes change, the birth rate of newborns in China is decreasing year by year, but the population over 65 is increasing year by year. China is moving towards an aging society. The problem of providing for the aged is gradually becoming a national problem. Faced with such a social problem, we want to solve such a problem through the development of science and technology. In response to the fall of an elderly person and the fact that he was left unattended, This paper presents a monitoring and analysis tool of daily life behavior based on bracelet, The tool collects data about the human body through a bracelet sensor, The machine learning algorithm is used to recognize the human motion behavior, and then the neighboring people or relatives are notified by alarms or text messages, so as to achieve the effect of guardianship, which not only avoids the elderly falling unnoticed, but also reduces the difficulty of guardianship without watching all the time.
A Coordinated Charging Strategy for Electric Vehicles Based on Valley Load Tracking
Authors: Lei He , Yan Jiong , Sang Zixia , Wu Lei , Du Zhi , Yang Dongjun , Fang Rengcun , Zhang Hui , Wang Yingxiang , Xu Jingyou , Xu Xiaoqin , Wang Sicong 
Published: November 2019

Abstract
Considering the negative impact of large-scale application of Electric Vehicles (EVs) on power network planning and operation, this paper proposes a coordinated charging strategy for EVs based on valley load tracking, aiming at reducing load fluctuation. By optimizing the charging sequence of EVs, the valley period of the daily load curve tends to be smooth, which plays a better role in filling the valley and reduces the peak-valley difference. Finally, an example is analyzed by Monte Carlo simulation, which proves that the proposed coordinated charging strategy is efficient and practical.
Research on low recoil launch technology of small UAV with small arms mounted on it based on floating principle
Authors: Yongjian Li , Shan Wang , Jie An , Junnuo Zhang 
Published: November 2019

Abstract
The small unmanned aerial vehicles (SUAV) which is mounted with small arms have both the accurate firing ability of small arms, and the mobility, flexibility and concealment of SUAV. In order to reduce the influence of recoil on SUAV, we put forward a low recoil launch method based on floating principle. Take a certain type of rifle as a study object, we have established a virtual prototype model. Through simulation and firing test, the recoil reduction effect is verified. This method provides a feasible and effective technical way for small unmanned platform to mount weapons in service.
Seismic Performance Analysis of Emergency Diesel Engine Retarder in Nuclear Power Plant
Authors: Yi-bo FAN , Jian-guang LI , Xuan-yu SHENG , Lan-wen WANG 
Published: November 2019

Abstract
The finite element analysis is used to study the seismic performance of the emergency diesel worm gear retarder in nuclear power plant. By modal analysis of the structure, it is concluded that the first natural frequency is higher than 33 Hz. Then the seismic analysis is performed both on the horizontal and vertical conditions. The analysis results show that under the equivalent earthquake acceleration 4.5g, the stress is low for the retarder case and other components of the worm retarder, and fulfills the material strength requirement. It can be considered that the structure of the retarder is stable and has excellent anti-seismic performance, meeting the seismic requirement for class 3 nuclear safety equipment.
Automatic mechanical device design for detecting corn spacing
Authors: Cao Chong , Wan Lu , Wang Heng , Wang Xianmei , Han Tao 
Published: November 2019

Abstract
The grain combine harvester is the most important grain harvesting machine in China. The lack of adaptability of domestic harvesters to different planting habits in different regions of China is an urgent problem to be solved. This paper proposes and mechanically designs and constructs the structure for the automatic detection of grain planting spacing by the harvester, and realizes the automatic control of the plant by PLC technology, thus realizing the automatic measurement of the grain spacing of the grain harvesting machine by the harvester.
Design of hydraulic driving experimental bench for automatic vertical drilling tool
Authors: Yan Wenhui , Wu Heng , Qu Yinan , Yan Yonghong 
Published: November 2019

Abstract
It’s introduced that the structure and function of automatic vertical drilling tool with independent intellectual property rights. The hydraulic driving experimental bench for automatic vertical drilling tool is a key experimental equipment, which is specially developed in the research and development of automatic vertical drilling tool. The experimental bench uses a water circulation system with centrifugal pump. It simulates the change of drilling fluid flow rate by frequency control. It uses an analog turnplate rotating device to simulate the working condition of the tool rotation. It introduces in detail the overall structure of the hydraulic driving experimental bench for automatic vertical drilling tool and the detail structure of the analog turnplate unit, the adjusting mechanism for analog hole deviation angle, and the testing unit for pushing force. The main technical parameters and design difficulties of the experimental bench are given in this paper. It has been proved in practice that the experimental bench can satisfy the functional test of automatic vertical drilling tool system.
Construction a Real-Time Component for Developing Embedded Real-Time Systems
Authors: Lu Shourong , Jin Qichun 
Published: November 2019

Abstract
A real-time component for developing embedded real-time systems is constructed by defined real-time contracts which ingrate with component-based techniques. Taking into account the real-time non-functional requirements, the defined real-time contracts are assigned to both static specification (components) and dynamic specification (state machine and sequence diagram). Based on the enhanced specification, it is useful and easier to design embedded and real-time systems.
Vessel Trajectory Similarity Based on Cubic B-spline Interpolation + Time-constrained Hausdorff Algorithm
Authors: Xinyu Liu , Zhaoshun Wang , Ning Zhi , Jiping Mi , Xianda Zhang , Jifei Fang , Bo Li 
Published: November 2019

Abstract
The spatio-temporal trajectory data sampling period is large, and the general trajectory similarity is not suitable. This paper proposes a new algorithm, cubic B-spline interpolation + time-constrained Hausdorff algorithm to calculate the trajectory distance. This paper compares the time-constrained Hausdorff algorithm, cubic B-spline interpolation algorithm and cubic B-spline interpolation + time-constrained Hausdorff algorithm. The experimental results show that the cubic B-spline interpolation + time-constrained Hausdorff algorithm is significantly higher than other algorithms in the accuracy of vessel trajectory similarity.
Estimation of single equipment standard in equipment maintenance expenditure based on cluster analysis
Authors: Weijie Wang , Bin Xiao 
Published: November 2019

Abstract
The single equipment standard in equipment maintenance expenditure is an important basis for applying for the expenditure needed for equipment daily maintenance. The estimation of single equipment standard is the main problem in the current equipment maintenance expenditure management, but the existing research results lack the quantitative analysis method. Aiming at this problem, first of all, this paper analyses the data estimated by all unit, uses clustering to simplify data size and improve data quality, then introduces the concept of expectation standard and establishes the unit satisfaction function about the expectation standard, and finally uses the particle swarm algorithm to obtain the optimal solution under the constraint of the total amount of expenditure. This paper provides a new idea of quantitative analysis for single equipment standard estimation.
Research on Accelerating Application Technology of Centralized ERP System Based on HANA
Authors: Zhang Haohai , Wang Wei , Gu Xinqiao , Wang Hao , Zhang Wei , Bian Jianling 
Published: November 2019

Abstract
In order to effectively improve the processing speed of centralized deployment in enterprises, this paper proposes a research based on HANA to accelerate the application technology of centralized deployment of ERP system. By optimizing the configuration of data processor unit in ERP physical deployment module, the running efficiency of the system is accelerated. The optimized data processor is used to calculate the parameter index of centralized deployment acceleration authority. According to the parameter index, the deployment role framework of each department of the enterprise is reasonably allocated, so as to reduce the centralized deployment operation time, achieve the goal of accelerating the system operation, and finally realize the effective application of the centralized deployment ERP system acceleration technology. Finally, through comparative experimental tests, it is confirmed that the actual application effect of the HANA - based accelerated application technology for centralized deployment of ERP system can reach more than 90 %, which is significantly improved compared with the traditional centralized deployment accelerated technology.
A Colored Petri Nets Based Model and Verification for Services Composition
Authors: Naji Hasan A.H , Xue Qingji , Zhang Lingxiao , Zheng Ke 
Published: November 2019

Abstract
Service composition process generates composite services in order to fullfill service consumer’s requirements that cannot be satisfied by a single service. Literature review addressed services composition but ignored verifying the existence of several serious issues, which may affect Service composition and may lead to failure of the given composite services in the execution time, including consistency of the functionality and QoS Criteria. This paper adopts Colored Petri Nets based model for Services Composition and proposes a QoS aware algorithm for verifying the consistency of composite services. A case study is provided for demonstrating the applicability of the proposed model and algorithm using concepts and values of QoS Criteria of composite services.
A Robust Algorithm to Remove the Self-intersection of 3D Mesh Data without Changing the Original Shape
Authors: Zhu Jiang , Hosaka Yurio , Yoshioka Hayato 
Published: November 2019

Abstract
Self-intersection is a serious problem in computational geometry and digital manufacturing. Because intersected parts do not exist in the physical world, the self-intersection must be removed for actually applications such as 3D printing or CNC machining. In the conventional method, such intersected parts are usually deleted, which causes the change of the original shape. In this research, a robust algorithm to remove the self-intersection of 3D mesh model is proposed. It could automatically detect the self-intersection, and remove the self-intersection without changing the original shape. The proposed algorithm has four steps. (1) Detect the intersected facets in the mesh model. (2) Divide the intersected facets along the crossing lines. (3) Find the outside facets. (4) Delete the inner facets and burying facets. Different models are used to do experiments, and the experimental results prove the validity and practicability of the proposed algorithm.
RETRACTED: Research on User Data Analysis of Agricultural Product E-commerce Based on Big Data Technology
Authors: Chao XIE , Defu HE 
Published: November 2019

Abstract
With the rapid development of rural e-commerce, users will produce a large amount of disordered original log data on the platform. In order to give full play to the user data value of agricultural e-commerce, this paper combs the concepts of big data and user data of agricultural e-commerce, and presents the user data analysis service and application system architecture of agricultural e-commerce based on big data technology, so that big data can be used in agriculture. The application value in the field of Commodity E-commerce has been fully embodied, which has played a role in promoting the further development of e-commerce.
Image Enhancement Based on Histogram Equalization
Authors: Xie Yuanmin , Ning Lichuan , Wang Mingqi , Li Chengcheng 
Published: November 2019

Abstract
Image enhancement is an important technology in the process of image processing. It can improve the image effect, enhance the overall brightness and clarity of the image. Histogram equalization is a very effective image enhancement technology. On the basis of probability theory, it uses gray point calculation to transform histogram. This paper mainly studies the basic theory of histogram equalization for image processing. At the same time, the image is experimentally analyzed by matlab. The results show that histogram equalization can improve the image effect and enhance the contrast of the image.
Research on an Algorithm of Service Composition Path Generation and Selection in Service–oriented Manufacturing System
Authors: Hua Guo , Min Shu , Kui Gao 
Published: November 2019

Abstract
Service composition, which can realize the added value of service, is the core to implement service-oriented manufacturing system. This paper mainly studies the method of service composition path generation and selection drove by the user’s service request. First, the abstract service aggregation algorithm is designed. The partial ordering relation of abstract service is discovered base on the composable correlation among services which can realize aggregation of service. Then complete graph of service composition path is constructed by employing Hasse diagram. Based on the complete graph, an algorithm is designed to select the optimal service composition path.
Research on Automatic Deployment of Simulation Test Environment Based on Cloud Platform
Authors: Cheng Ying , Gao Xiangdong , Wu Xiaochao , Chen Li 
Published: November 2019

Abstract
It is a future trend that SoS confrontation tests develop towards combining simulation tests with realistic exercises, so how to deploy a simulation test environment on demand conveniently, quickly and smartly becomes an urgent problem to be solved. Starting from the architecture and requirements of a simulation test environment, this paper analyzes the deployment solution of Cloudify and Docker open source cloud platform clusters, designs a cloud-based automatic deployment platform for the simulation test environment based on OpenStack, Cloudify and Docker, and realizes the automatic deployment of the simulation test environment with full software stack and full deployment process. The automatic deployment not only improves the efficiency of the deployment and maintenance, but also increases the utilization ratio of resources.
Video Object Segmentation based on improved OSVOS
Authors: Hong Shizhan , Cao Tieyong , Xiang Shengkai , Fang Zheng , Deng Xiaotong , Xiang Lei 
Published: November 2019

Abstract
Video object segmentation is a mainstream branch of current image processing direction. How to achieve deep learning from complete supervision to unsupervised is the key problem that people are trying to solve. In this process, One-Shot Video Object Segmentation (OSVOS) can successfully tackle the task of semi-supervised video object segmentation. It transfers the general semantic information learned on ImageNet to the foreground segmentation task, and then learns the mapping of a single annotated object in sequence. In this paper, based on the concept of OSVOS, an improved neural network structure with dilated convolution, multi-scale convolution fusion and skip layer is proposed. Dilated convolution can increase the size of the receiving field. Multi-scale convolution can obtain multi-scale feature maps and fuse them. Skip layers can transfer feature information from low layer to upper layer. All of them help to improve the final accuracy. The experimental results show that all indicators has been improved.
A Preliminary Study on Network Privacy Protection in the Context of Big Data
Authors: Wu Chunying 
Published: November 2019

Abstract
Privacy protection on the Internet is a key concern of people in the context of current big data, directly affecting people’s information security and personal safety. Based on this, this paper first analyzes the current status of network privacy in the era of big data, and summarizes the common theories and data analysis methods and models of existing network privacy protection. Further, the paper makes an analysis of the current status of relevant network privacy laws in China, and finally expects the outlook of future development.
Management of planting system based on water balance patterns on corn plants using Cropwat 8.0 model
Authors: Bahrun A H , Nurfaida  , Ridwan I , Zul A F , Widiayani N , Kusumah R 
Published: November 2019

Abstract
Corn plants are the second most important food crop after rice; however, climate anomalies will affect the amount of production that is related to the water requirements available during the process of growing corn plants. This study aims to determine the amount of effective rainfall in one year and the need for irrigation water in one planting season, the water requirements for maize in a particular planting period and the comparison of the rate of evapotranspiration and the level of water that must be available to plants. This research was conducted from May to September 2014 at the Agricultural Technology Research Institute (BPTP) of South Sulawesi, Gowa Regency. The data obtained in the field was then processed using the simulation method of a Windows-based application, Cropwat 8.0. The results show that the water needs of corn plants in each growth phase are: 107 mm/decade in the early development phase, 132.9 mm / decade in the mid-phase, and 107.4 mm / decade in the late phase. The amount of rain data for a year in 2014 obtained using Cropwat was 395.6 mm, and the effectiveness of the rain that occurs was 355.9 mm. These figures then used to determine the irrigation water needs for one growing season.
Growth and production of several Romaine lettuce varieties (Lactuca sativa var. Romana) on various ratios of ammonium-nitrate in hydroponic nutrition formulations
Authors: Nasaruddin  , Amin A R , Nissa N S , Permadi M G 
Published: November 2019

Abstract
The study aimed to determine the response of four varieties of romaine lettuce, grown hydroponically, to Ammonium-Nitrate ratio in the hydroponic solution as a source of N nutrient. The research was conducted in a Screen House at Tamalanrea district of Makassar from October to December 2018 in the form of factorial experiments based on nested design patterns. The trial used three ratios of Ammonium-Nitrate consisted of 1:4, 1:6, and 1:8 into Hougland hydroponic nutrient solution, and AB Mix as the control treatment. Four Romain Lettuce varieties used as the second factor consisted of Romaine Ballon, Swiss Jade, Red Romaine, and Green Romaine. The results show that the ratio of Ammonium-Nitrate of 1:4 gave the best growth and production while Romaine Ballon variety showed better growth and production compared to other varieties.
Wood policy ambiguities, behind the phenomenon of the decreasing interest of traditional house construction in Sulawesi
Authors: Samad R S , Sahide M A K 
Published: November 2019

Abstract
We firstly investigate the common-sense phenomenon that why there is a tendency on the decreasing demand of traditional timber-based house (bola ugi’) construction in South Sulawesi province Indonesia. From this start, we analyse the two policies implementation of timber logging community-based forestry policies (people forest plantation and people forests), that taken Barru district as our location study. We found that there is no direct correlation between the decreasing motives of villagers using the traditional wooden house and the policies. We further investigated the policies’ implementation and found some ambiguities, including incompatibility with traditional forest plantation system within the formal timber logging community-based forestry policies. We found also a very weak facilitation and support from the government and also its connection with the market.