bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hybrid Method of Cascaded Features for RGB-D Semantic Segmentation
Authors: Wang Chenxu , Jiao Jichao , Li Ning , Deng Zhongliang , Xu Wei 
Published: February 2021

Abstract
Fully Convolution Network and its following works has achieved the state-of-art performance on the task of RGB semantic segmentation. However, there still lacks an effective method to sufficiently leverage geometric information of depth image to accomplish RGB-D semantic segmentation. To this end, this paper proposed a new method containing two parts: 1) a simple but useful way based on Fast Marching Method to inpaint area of no-measured-depth pixels, which produces better result than standard dataset we used in this paper; 2) a new fusion architecture of CNN in which we fuse RGB and depth features in shallow layers to make geometry information from depth image a better assistant to RGB semantic segmentation. Besides, we add a feature filter architecture to help model choose the most discriminative features and punish useless or repeating features for better hierarchical expression. The original RGB image and inpainted depth image are fed into two feature extracting streams, one for each modality, and get fused in the fusion layer which is consecutively followed by deeper encoder network and decoder network. We evaluate our method on SUN RGB-D and NYUD dataset and experimental result shows that the proposed model has priority on RGB-D semantic segmentation.
Edge Detection Algorithm Used in a 3D Sketching & Photogrammetry System
Authors: He Jizheng 
Published: February 2021

Abstract
A clear 3D representation is vital to prototyping in design. 3D modeling is a popular approach to design structures in 3D, resulting in accurate models that can be viewed from multiple perspectives. However, 3D modeling is too costly and rigid for designers because it has a steep learning curve. Existing heavy-weight 3D software packages are usually not suitable for ideation. Therefore, we consider using sketches to convey ideas in 3D as a more natural way for prototyping. Even if most sketches are loose and 2D, people can still identify 3D structures from them. However, most sketching tools only support drawing in 2D, motivating us to find a solution to bridging 2D sketches and 3D structures. To fill the gap, we propose a 3D sketching system that facilitates sketch creation in 3D. Users can create a sketch in 3D and view it from multiple perspectives, without having to create multiple 2D sketches. This application also supports reconstructing a point cloud from images taken from existing structures. We designed a novel edge detection algorithm derived from the Hough transform to extract borders as strokes from a point cloud reconstructed from captured images. This includes fitting multiple planes to the point cloud and creating strokes by projecting points to the planes. We also present real-world use cases to evaluate our system. Our application allows designers to prototype more rapidly, opening a gate to more user-friendly ideation processes.
Sea surface wind speed retrieval and validation with future SWOT data
Authors: Wang Dan , Kong Xiaojuan , Cheng Pu , Wang Zhanju , Xu Chuandong 
Published: February 2021

Abstract
The paper focuses on the sea surface wind speed retrieval and validation using the future SWOT data. Ka band backscatter coefficient and wind speed were simulated by using theoretical model of Quasi-specular scatter and the simulated position of observation point. The Ka band model function of incident angles from 1° to 4° was proposed based the form of KuLMOD2. Wind speed was retrieved by using Ka band model function, and the results of validation show that the RMSE (Root Mean Squared Error) is 0.35. Therefore, the wind speed retrieval was validated with the ECMWF, which showed good coincidence. Ka band model function was proposed for applicable to the future SWOT data.
Research on Intelligent Identification Method for Access Equipment of Grid Information System
Authors: Wang Seng , Zhang LingHao , Zhang Jie , Tang Chao , Wang Hai 
Published: February 2021

Abstract
Establishing a controllable information network security access management mechanism is the key task of power supply enterprise management, and it is also a key link to ensure enterprise information network security. In this article, we use a technology to intelligently obtain information about access devices. This technology is based on active and passive information collection. At the same time, it uses device portrait technology to intelligently identify network topology, device type and device status. And use an intelligent access mechanism to improve the controllability of information network security access.
Security assessment of power data link based on dynamic weight change
Authors: Zhu Hongbin , ShuoCui  , Jin Ming , Jiang Lina , Huang Shasha , Zhang Yifan , Zhang Wenting 
Published: February 2021

Abstract
The Data link security assessment is to ensure the security of data transmission, data storage and data usage in the link. It is an important standard to reflect the safety of data link in time and accurately. We proposed a data link security assessment model based on dynamic weights. The model is evaluated from four aspects: intrusion detection, data content detection, data storage index detection, and data usage permission detection. For each aspect, we used the method of setting dynamic weights to score and evaluate. By setting dynamic weights, we can promptly reflect the potential safety hazards and remind the staff. At present, the security evaluation system for data links is not perfect. The model we proposed can evaluate and score from multiple aspects to reflect the security status of the link.
Name-based Approach to Identify Suspicious Return Statements
Authors: Li Guangjie , Tang Yi , Zhang Xiang , Yi Biyi 
Published: February 2021

Abstract
Identifier names account for 70 percent of source code in characters. Meaningful identifier names convey valuable natural language information of the corresponding software entities, and thus they can be exploited to analyse the program and comprehend the semantics of it. However, existing bug detection approaches often ignore such natural language information and semantics encoded in identifier names. To this end, we propose a name-based approach to identify suspicious return statements. The recent study suggests that source code elements are often lexically similar to their corresponding semantic related elements. Based on this assumption, we design a sequence of heuristic rules to determine whether the return statement of a given method matches the signature of it. Evaluations on 100 open-source Java projects suggest that the proposed approach detects 16 out of 60 real return bugs. The precision and recall of the proposed approach are 31% and 27%, respectively.
Forest Fire Compound Feature Monitoring Technology Based on Infrared and Visible Binocular Vision
Authors: Sun Fei , Yang Yangzhao , Lin Chuanwen , Liu Zhenhua , Chi Linghong 
Published: February 2021

Abstract
Forest fire prevention is the basic guarantee for building ecological civilization. At present, the main problems of forest fire monitoring based on video are that the algorithm recognition generality is not strong, the algorithm has poor real-time performance, and the rate of missing and false alarm is relatively high. In order to improve the fire recognition rate and real-time, in this project we intend to carry out the following research work: (1) using the ratio of infrared radiation energy of adjacent channels to determine the temperature of ignition point hidden under vegetation in forest areas, screening for the image feature processing of smoke flame in the later stage;(2) combining with infrared spectral feature analysis, the image color characteristics, area characteristics and roundness of forest smoke and flame are studied, and a multi-feature analysis algorithm is established;(3) to build a monitoring platform for forest fire detection based on infrared and visible binocular vision. According to the different characteristics of infrared and visible images, the multi-feature recognition algorithm of video images and the infrared spectral features are studied to detect whether the current monitoring area is abnormal in temperature, smoke or flame. Finally, the ground coordinates of current fire alarm are located by GIS map data, so as to realize the early automatic alarm display of fire situation. Therefore, the solution of forest fire compound feature recognition algorithm based on infrared and visible light can realize the early recognition of forest fire, reduce disaster loss, and help to promote the construction of ecological civilization in China.
Moan Noise Diagnosis and Research of Certain E-axle BUS
Authors: Wenhui Jin , Xin Deng , Longyang Duan , Chengping Zhong , Xianzhong Yu 
Published: February 2021

Abstract
As the mainstream power system of new energy commercial vehicles, the E-axle system directly drives the wheels. Since there is no suspension, the drive motor and reducer are directly assembled on the axle, connected to the body or frame through leaf springs and shock absorbers. Without the traditional engine noise masking, the NVH problem of E-axle poses a great challenge to NVH engineers. This article is aimed at the obvious Moan problem in a commercial passenger vehicle with E-axle under medium and high speed conditions, with the “source-path-response” theory used in analysis. Based on the investigation and analysis of test results and CAE methods, the main reason is that the imbalance excitation of the first axis of the E-axle is too large. By changing the speed ratio of the reducer, the first axis rotating speed of the E-axle corresponding to the same vehicle speed is reduced, then the high-speed Moan noise of this vehicle can get reduced.
An investigation on data switching technology in mode division multiplexing networks
Authors: Yang Beichang 
Published: February 2021

Abstract
With the rapid growth of people’s demand for communication speed and capacity, optical communication technology has developed vigorously with its advantages of high transmission rate, large capacity and low power consumption. In order to increase transmission capacity and bandwidth, multiple multiplexing technologies such as wavelength division multiplexing (WDM), time division multiplexing (TDM), polarization division multiplexing (PDM) have been widely studied. However, there is a capacity crisis in standard single-mode optical fibers. Mode division Multiplexing (MDM) technology is considered to be an effective way to solve the capacity crisis because it can keep the bandwidth of a single transceiver constant and effectively increase the total transmission capacity. Data exchange is an important function in optical communication system, which can effectively increase the flexibility of the network. However, the data exchange function in MDM system is rarely reported. In this paper, data exchange technologies in MDM networks are studied in detail, including OAM mode exchange based on optical devices and spatial light modulator (SLM), and TE mode exchange based on asymmetric directional coupler (ADC), micro-ring resonator (MRR) and Y-waveguides. The principles, advantages and disadvantages of each mode switching technology are analyzed and discussed in detail.
A Data-sharing Model Based on Blockchain for Power Grid Big Data
Authors: Zhang Xudong , Zhao Linlin , Gao Xiaoxin , Zhang Xu 
Published: February 2021

Abstract
In the existing smart grid, wireless sensor networks are widely deployed to monitor the entire grid’s status to ensure the safe, reliable, and efficient operation of the grid. However, due to the storage mode of the infinite sensor network perception data based on the trusted central node in the smart grid, the smart grid exists information security issues such as the central node’s vulnerability to malicious attacks and deliberate data tampering. In response to these information security issues, this paper proposes a data-sharing model based on blockchain technology and digital digest matching algorithm, which has the characteristics of decentralization, security and credibility, non-tampering, and protection of private data. The model uses the consortium blockchain technology to build a smart grid Data Storage Consortium Blockchain (DSCB). The data capability is taken as a unique token through the method of data capability to control the data access to achieve fine-grained access control with a resource as the unit. The capability update is convenient, and the capability withdrawal is supported to ensure the data security sharing between sensor nodes. Security analysis shows that the model can realize safe, effective, and privacy-protected data storage and sharing.
Research on Urban entity boundary and virtual boundary based on GIS——Taking Dujiangyan City as an example
Authors: Xiao Hai , Hu Binjun , Zheng Yuan 
Published: February 2021

Abstract
This paper uses the Point of Information (POI) point of interest and population distribution feature data in Dujiangyan City as the basic data, and uses spatial analysis methods, such as nuclear density analysis, contour analysis and standard deviation ellipse, to study the correlation between the entity and virtual boundaries of Dujiangyan. The results show that the urban entity and online activity intensity of Dujiangyan spreads around Xingfu, Guankou, and Puyang. The entity boundaries of the city and the virtual boundary in these three areas overlap basically, except for the city of Dujiangyan. The entity and online activities are not balanced in intensity, and there are obvious dividing lines in the area near Longchi. The entity and virtual boundaries of the city are quite different in Qingcheng Mountain and Juyuan.
Improved A-star algorithm for robot path planning in static environment
Authors: XiangRong Tang , Yukun Zhu , XinXin Jiang 
Published: February 2021

Abstract
A-star algorithm is a kind of simple path planning algorithm without solving the calculus, which has a high application. However, compared with other path planning algorithms, it occupies a large memory space. To solve this problem, this paper proposes three new concepts such as the bidirectional search, a guide line and a list of key points. A-star algorithm is optimized and rasterize on indoor environment modeling method, finally through the MATLAB simulation experiments prove that the optimized algorithm feasible experimental results show that the improved algorithm in target different under the two kinds of experiment are able to reduce memory footprint by more than 60%.
Design and Innovation of Asynchronous Serial Communication Interface Conversion System of Field Bus
Authors: Chen Ding 
Published: February 2021

Abstract
Since the traditional asynchronous serial communication interface conversion system has a series of problems in data reliability, CPU utilization and so on, this paper, starting from the design idea of fieldbus, uses CAN, PROFIBUS-DP, power conversion module, core control module and other software programs to study the conversion process, so as to innovate the conversion system and realize the reliability of data, which greatly improves the utilization rate of CPU.
Utilizing Energy Efficiency and QoS awareness for Receiver-Arbitrated and Sender-Predicted MAC Protocol in Wireless Sensor Network
Authors: Yang Huan , Bao Lingyan , Luo Jia , Deng Biao , Wang Hui 
Published: February 2021

Abstract
In this paper, we exploit energy-efficiency and QoS-awareness for receiver-arbitrated and sender-predicted MAC Protocol (EQAP-MAC) in wireless sensor network. EQAP-MAC improves the transmission concurrency by separating control stream from data stream; minimizes energy consumption by sender by predicting receiver’s wake-up time; supports priority-based QoS through priority-based data flow selected, arbitrated and interrupted mechanisms; reduces transmission interference between the nodes by interleaving neighbor nodes’ wake-up time; improves system throughput and reduces the data stream transmitting delay by pipelining mechanism and optimizing send sequence. We have implemented EQAP-MAC on TinyOS and evaluated its performance on testbed. The result shows EQAP-MAC achieves higher concurrent performance and priority-based QoS guarantee with lower energy consumption compared with RI-MAC and X-AMC.
A Dual-band uniform circular array for Generating vortex electromagnetic waves
Authors: Yang Cheng , Haitao Wang , Qin Fan , Liu Yi , Wan Cheng Tao 
Published: February 2021

Abstract
A novel dual-band uniform circular array (UCA) is presented to generate vortex electromagnetic waves. The proposed antenna is designed to operate in C- and X-bands with center frequency of 5.8 GHz and 10 GHz, respectively. To construct a shared-aperture structure, two UCAs operating in different frequencies are combined in a common aperture with different radius. Each UCA is composed of 8 antenna elements in the proposed design. The specific phase shifts for generating vortex waves are obtained by carefully designing the feed networks at the two working frequencies. One prototype is simulated, fabricated and measured to verify the concept. Good agreement between simulated results and measured results are obtained. +1 mode vortex beams are successfully penetrated with the gain of 12.3 dBi in the both C- and X-bands with good vortex phase fronts.
Development of Wheatstone bridge and Kelvin bridge Simulation Experiment System Based on LabVIEW
Authors: Tie-Zhu Yang , Xiao-Lei Lai , Qian-Xin Long 
Published: February 2021

Abstract
The method of circuit bridge for measuring resistance is one of the very important contents in experiment physics teaching. Taking DC bridge for example, by using LabVIEW through programming, CTL interface beautification, local variables and Property Node setting, the experiment of measuring resistance by DC bridge is simulated. In the process of development, the galvanometer current formula in the Wheatstone bridge and Kelvin bridge is unified, the calculation is carried out with matlab. The system realizes the whole process of experiment operation, processing and simulation of experimental data and expression of complete experimental results in the same simulation software.
Research on the optimization strategy of college sports placement based on deep neural network
Authors: Miao Ning , Wang Ying Xu , Zhang Shu Hua , Zhu Xiao Yong 
Published: February 2021

Abstract
College students are busy with their schoolwork and activities. They spend most of their spare time playing games and watching TV dramas and have little time to do physical exercise. Therefore, it is difficult for many college students to reach the standard in the physical education test, and the bodyside data is not well used. This paper uses the physical test data provided by the Physical Education Department of Zhujiang College of Tianjin University of Finance and Economics to classify and process the physical test data of colleges and universities DNN. A scientific physical education class allocation strategy is proposed to optimize the existing college physical education class allocation.
QT display interface design of new retail system based on computer vision
Authors: Wang Yali , Ma Jinghao , Zhang Xinke , Jiang Jun , Shen Ming 
Published: February 2021

Abstract
With the rapid development of science and technology, the application of computer vision is more and more widely, and there are great changes in all walks of life. New retail can rely on this advantage to improve the intelligent settlement of supermarket and reduce the workload of supermarket staff. In this paper, we use deep learning to train the goods that need to be settled, and identify the goods in the video during the settlement. At the settlement interface, Alipay two-dimensional code is generated to sweep the code for customers. QT is used to display the process of commodity identification and settlement.
Digitalization of the process of postoperative care for a patient on the example of hip replacement
Authors: Kaplunov O A , Frolov Yu , Orlova Y A , Zubkov A V , Sibirny N D 
Published: February 2021

Abstract
The work is devoted to the analysis and improvement of the existing business process of patient patronage during rehabilitation. The article analyses the existing software tools that are currently used in medical practice, and also identifies their shortcomings regarding the process of patient support during the rehabilitation period. A service that includes an app for the Android mobile operating system and a website was developed. The work describes the main functionality of this system, as well as shows the changes that occurred during the integration of the service into the existing process of patient patronage.
Biomaterial impedance model for medical risk classifiers in in vivo experiments
Authors: Miroshnikov A V , Shatalova O V , Zhilin V V 
Published: February 2021

Abstract
As a result of the study, fundamentally new results were obtained that allow creating intelligent decision support systems for the classification of medical risk. A bioimpedance analysis model has been created based on multifrequency bioimpedance measurement, which allows decomposition of the biomaterial impedance into structural elements. On the basis of the proposed model, descriptors were formed, intended for classifiers executed on trained neural networks. To obtain descriptors, multifrequency sounding of the biomaterial was carried out, on the basis of which Cole’s graphs were constructed. Using iterative algorithms and these graphs, Voit models of biomaterial impedance were obtained. The parameters of these models are used as descriptors for the trained classifiers. In modern healthcare, the task of long-term monitoring of a person’s condition is almost always associated with either his hospitalization, which is unacceptable both for the working-age population and in some cases for sick people, or with the rent of expensive monitoring systems for a period not exceeding, as a rule, 24 x hours, which is not always enough for diagnostic tasks.
Software and data visualization platform for groundwater level and quality monitoring system
Authors: Oppus C , Guzman M A L , Monje J C , Guico M L , Ngo G , Domingo A , Kwong J C , Retirado M G 
Published: February 2021

Abstract
Rapid urbanization and increasing population come with the increased extraction and use of groundwater resources. To track the effect of these activities on groundwater level and quantity, a system for real-time monitoring is devised. In this paper, we present a software system design that enables a locally-developed groundwater level and water quality monitoring hardware setup to gather water quality parameter data, send it to a cloud server, and present organized data for better visualization. The hardware setup consists of an Arduino microcontroller. Upon deployment, the hardware setup is linked to an Android application that connects to the web-based platform.