bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic reconfiguration of unbalanced distribution network considering DG uncertainties
Authors: Jiao Min , Sun Liangzhi , Jia Kaili , Wang Hexian , Yin Ziyang 
Published: September 2020

Abstract
In order to solve the multi-objective dynamic reconfiguration problem of the unbalanced source distribution network, this paper proposes a multi-objective dynamic reconfiguration strategy for active distribution network based on affine number. The affine number is introduced in this paper to describe the uncertainty of distributed generation output. The active network loss, voltage deviation and load balance are the objective functions, the dynamic reconfiguration of unbalanced distribution network is modeled. The multi-objective particle swarm optimization algorithm based on Pareto entropy and parallel mesh is used to obtain the static reconfiguration solution in hours. Finally, a reconfiguration time division scheme based on Mahalanobis distance and target expectation is proposed, and the time period is divided again until the switch action constraint is satisfied.
Applying GANs for Generating Image with Varied Facial Attributes from Sketch
Authors: Phusomsai W , Limpiyakorn Y 
Published: September 2020

Abstract
The rapid development of GANs and its variants has shown remarkable progress in synthesizing realistic images. Image-to-image translation becomes a potent research topic due to its wide application. The translation of face sketch to color images greatly contributes to digital image processing industry. It could also help confirm the identity of the suspect or lost persons. In this paper, a model is implemented by applying GANs for generating an image with varied facial attributes from sketch. The architecture consists of two separate GANs, implemented with Pix2Pix and StarGan2 as bases. The output realistic images can be generated with manipulating a single facial attribute including, wavy hair, straight hair, and wearing glasses.
Docker container hardening method based on trusted computing
Authors: Shen Yuang , Yu Xuejun 
Published: September 2020

Abstract
In view of the incomplete isolation of docker, the image file is easy to be tampered with, and the problem of insecure container operation. Based on the analysis of the existing isolation mechanism and security enhancement technology of docker container, this article uses trusted computing technologies such as cryptographic algorithms, integrity measurement, realtime monitoring, etc., a hardening method for docker containers is proposed. The feasibility of the reinforcement method was verified by experiments. The results show that this method can realize that docker is in a trusted and secure environment during the entire process of downloading the image from the container to the container, and ensuring that the container and the image file are not tampered with. When the container is enabled, the system resources are in a monitorable state, which greatly improves the credibility and security of the docker container.
GUI Test Case Prioritization using Social Network Analysis
Authors: Maitrikul C , Limpiyakorn Y 
Published: September 2020

Abstract
Graphical User Interfaces (GUIs) has become popular in today software products due to its user-friendly merit. However, GUI tests are costly and suffer explosive test cases. Moreover, software evolution causes the GUIs inevitably changed resulting in harder testing. Regression test has been widely used for GUIs software testing. It is considered to be the most expensive phase in the software testing process, though. Among several techniques, test case prioritization would help identify the reduced test cases in the regression testing suite, still maintain the same criteria as the original number of test cases in order to solve the limitation of time and cost in this phase. In this paper, we propose using network centrality from social network analysis to prioritize the test cases and compare each parameter to find a suitable parameter for GUI test case prioritization.
High-voltage Cable Fault Analysis base on X-ray Image Processing
Authors: Guoqing Ma , Pengfei Li , Zilong Chen , Yubing Duan , Hao Zhang , Xiaoli Hu 
Published: September 2020

Abstract
X-ray digital imaging detection technology is the use of high frequency X-ray machine to the sample transitography, through the imaging detector to collect images, and the detected images after digital processing to the computer for analysis and processing technology. With the help of computer digital image processing technology, the image noise can be effectively reduced, and the contrast and clarity of the image can be greatly improved. The radiation dose and exposure time can be selected according to different materials, which greatly improves the detection efficiency. The detection can display the damage of the external force of the cable more quickly and intuitively, and provide strong support for the development of maintenance programs.
Research on Path Planning of UAV Based on Ant Colony Algorithm with Angle Factor
Authors: Bao Shitong , Lu Yonggen , Li Keyu , Xu Peizhen 
Published: September 2020

Abstract
In this paper, aiming at the slow convergence problem of ant colony algorithm in UAV three-dimensional path planning, the heuristic function and local search strategy of improved ant colony algorithm with angle factor are proposed. The simulation results show that the ability of the improved ant colony algorithm to find the optimal solution in the three-dimensional environment is improved. Compared with the traditional algorithm, the overall route planning is shortened by 22 km, and the convergence speed is 51.3% of the original algorithm. The algorithm not only reduces the complexity of UAV track search, but also effectively improves the convergence speed and search efficiency of ant colony algorithm. It shows that the improved ant colony algorithm is feasible and effective in UAV three-dimensional path planning, and provides a new strategy for three-dimensional path planning.
Anomaly Detection of Predicted Frames Based on U-Net Feature Vector Reconstruction
Authors: Qiang Yong , Fei Shumin , Jiao Yiping , Li Liuwen 
Published: September 2020

Abstract
Anomaly detection in surveillance video scenes is one of the current research hotspots. Due to the small sample collection of anomalous events, the lack of negative sample labeling data training in anomaly detection research adds a lot of difficulties. Therefore, we adopt the method of unsupervised training and improve the method of anomaly detection based on the reconstruction of the potential features of the predicted frame and ground truth based on u-net. We reduce the reconstruction error between the potential features of u-net in the predicted frame and the potential features of the real frame. Then through other constraints, the reconstruction error of the entire predicted frame is minimized according to the generative adversarial training. Due to the use of normal behavior sample training, when the abnormal behavior is detected, the reconstruction error value exceeds the set threshold to judge whether abnormal behavior occurs in the surveillance video. Experiments prove that our improved method is effective and accurate.
Abrasive Segmentation of Multiple Diamond Images Based on Secondary Morphological Reconstruction
Authors: Lin Yanfen , Wu Liuxi , Deng Ying , Fang Congfu 
Published: September 2020

Abstract
Faced with a lot of noise problems in diamond abrasive image segmentation under complex background, a segmentation method of diamond abrasive images is proposed based on secondary morphological reconstruction. The method of histogram equalization was firstly used to pre-process the original image, which aim is to improve the image by adjusting the global contrast, and an appropriate structural element is constructed to carry out to determine abrasive size by using the morphological smoothing operation; Secondly, the first morphological reconstruction is carried out to further virtualize the complex background and clear garget abrasives by using the geodesic corrosion operation; Then, the second morphological reconstruction is carried out by calculating geodesic expansion operation. Combined with the local extreme value processing of the image, each target abrasive area can be obtained. Finally, the segmented target abrasive area is used to extract the multiple abrasives from complex background. It is found that the complex background noise can be readily eliminated by the proposed method, and the abrasives in the image can be well segmented. The results show that segmentation boundary is clear, without background noise, and the segmentation region is significant. The extracted diamond abrasives can be used for advanced image analysis such as abrasive characteristics and abrasive identification.
Image Compression Technology Based on Wavelet Transform
Authors: Tan Linglong , Li Weilong , Wu Fengzhi , Xu Yunhao 
Published: September 2020

Abstract
Image compression based on wavelet transform is to apply wavelet algorithm to multi-resolution decomposition of the image, and to achieve image compression by encoding the obtained wavelet coefficients. First, multi-level wavelet decomposition is performed on the image to obtain the corresponding wavelet coefficients. Then, each layer of wavelet coefficients is quantized to obtain quantized coefficient objects. Finally, the quantized coefficient objects are encoded to obtain compression results. This paper uses Haar wavelet as the wavelet base, selects the 2-level decomposition scale, performs wavelet transform, compresses the reconstructed image by setting a threshold, and calculates the file size ratio and PSNR value before and after compression. The wavelet reconstruction function uses the coefficient matrix, dimensionality information and wavelet base type obtained by wavelet decomposition to perform wavelet reconstruction. The global threshold setting method is selected, and the wavelet high-frequency coefficients are threshold filtered to achieve compression before the reconstruction operation, and then the compressed image is obtained through wavelet reconstruction. After the image has undergone wavelet transformation with a specified scale, most of the energy is concentrated in the fractional part of the wavelet decomposition coefficients. The coefficients of other parts are set to constants by setting a threshold, and only a few decomposition coefficients are retained to represent the entire image.The experimental results show that the storage space of the compressed image is greatly saved and the compressed image does not change significantly from the original image visually.
Research on Speech Signal Denoising Algorithm Based on Wavelet Analysis
Authors: Tan Linglong , Chen Yehui , Wu Fengzhi 
Published: September 2020

Abstract
In this paper, wavelet analysis is used to remove noise superimposed on the speech signal to achieve denoising of the speech signal. The prepared speech signal is superimposed with Gaussian white noise with different signal-to-noise ratios, and is removed by using a forced noise removal processing method and a given threshold denoising processing method; The wavelet soft and hard threshold denoising method is used to separately superimpose different Gaussian white noise speech signals, and the hard threshold and soft threshold denoising are respectively performed, and different wavelets are used for processing; Four threshold selection methods are used to denoise the noisy signal using different wavelets. The denoising effects of these methods are simulated in MATLAB software, and combined with the signal-to-noise ratio of the signal after denoising, the denoising effects of various methods are judged. Experimental results show that soft threshold denoising is slightly better than hard threshold denoising. Among the four threshold selection methods, Rigrsure rule denoising is the best. Although other methods are effective, they are not obvious.
Real-Time Magnetic Field Calibration Method Based on Extended Kalman Filter
Authors: Wenkuan Li , Haoyuan Cai , Shenglin Zhao , Chunxiu Liu 
Published: September 2020

Abstract
VINS makes roll and pitch observable because IMU is added, but if yaw also needs to be observable, the magnetometer needs to be used. But it is highly susceptible to interference from surrounding ferromagnetic materials. This paper first improves the traditional complementary filtering to eliminate the influence of linear acceleration during motion, then uses it fuses the accelerometer and gyroscope data to make more accurate prediction of the magnetometer data, and an Extended Kalman Filtering is used to implement magnetometer calibration. In the convenience experiment, our algorithm reduces the error RMS from 71.12uT to 11.77uT, while the ellipsoid fitting can’t calibrate correctly. In the calibration speed and accuracy experiment, our algorithm can realize the maximum value of the error distance after 5s is 0.42uT, which is better than the 0.98uT of the gyro-only compensation. In the stability experiment, within 10 minutes, the data calibrated by our algorithm drift only 4.12uT, which is better than 11.10uT of the gyro-only compensation. Finally, a convenient, accurate and stable real-time magnetometer calibration algorithm is realized. It has a wide range of functions in consumer electronics, VINS and military.
Policy of the Arctic Council countries in the sphere of environmental security
Authors: Synchikova D , A Kudryavtseva R-E 
Published: September 2020

Abstract
In this article, the author examines the key points in the policy of the countries which are members of the Arctic Council at the present stage. The main focus is on the environmental safety of the region, its problems and methods of solving them. The Arctic is a unique resource region, subject to large amplitudes of changes in harsh natural and economic conditions that need to be constantly monitored. The paradox is that the abrupt climate changes that create global problems not only negatively affect the entire planet, but also open up new opportunities for the development of the Arctic region. However, it is necessary to understand that successful development of the shelf is impossible without the elimination of problematic points and cooperation within the Arctic Council, which provides broad opportunities for international cooperation. The countries that have territories in this region of course have their own strategic interests, which sometimes lead to conflicts, but cooperation in the field of environmental security is the only area which requires the same return from all countries. In the article the author also discusses the goals and objectives of the six working groups, the results and further prospects for solving existing and emerging global problems.
Comparative study of single-industry towns’ industrial dynamics: case of European Far North regions of Russia
Authors: Kozlov A , Teslya A , Krolas P 
Published: September 2020

Abstract
The paper concerns the issues of development of single-industry towns located in the Northern part of Russia. The authors make focus on two territories of Russian Far North, namely Murmansk and Arkhangelsk regions where 14 single-industry towns are located at moment. The study distinguishes two types of single industry towns accordingly to industry of city-forming enterprises, mining and manufacturing correspondingly. The paper is based on analysis of federal and regional statistics and investigation of indicators characterizing the social, economic and industrial development of single-industry towns in the period of the last 10-15 years. The study disclosed the fact of faster growth of production in single-industry towns belonging to mining industry despite of the accelerated depopulation in comparison with single-industry towns of manufacturing industries. This contradiction can be explained by higher level of modernization of enterprises from mining industry. The recommendation for the policy makers in priority setting in support of city-forming enterprises is formulated. The direction of the future research are indicated.
The Potential of Digital Platforms for Sustainable Development Using the Example of the Arctic Digital Platform 2035
Authors: Stepanova I , Vorotnikov A , Doronin N 
Published: September 2020

Abstract
The article deals with the digitalization of society, including the economic sphere. The paper presents the relevance of digital platforms development within the framework of sustainable economic development. Examples of successfully implemented digital platforms in the economy are covered. The role of the state in the development and implementation of digital platforms in public administration is considered. The study of actual proposals from the digital platform Arctic 2035 for strategic sustainable development of the Arctic zone of Russian Federation up to 2035 is carried out. The idea is to demonstrate how the transformation and the assessment of the digital platform into a system of tracking the decision-making process could serve as a tool for sustainable development.
Saponins extracted from Asparagus officinalis L. by products exerts hypoglycemic effect in streptozotocin induced type 2 diabetic rats
Authors: Zhu Xinglei , Li Caixia , Zhu Yudan 
Published: September 2020

Abstract
This study aimed to evaluate the hypoglycemic property of saponins from Asparagus officinalis L. by-products (SA) in high-fat diet and streptozotocin (STZ)-induced type 2-like diabetic rats. Diabetic rats were administrated with SA at doses of 20, 40 and 60 mg/kg body weight once a day for 45 consecutive days. The diabetic rats showed significant decreased fasting serum glucose and free fatty acid, and significant increased hepatic glycogen and high-density lipoprotein cholesterol after SA treatment. Furthermore, SA administration at dose of 60 mg/kg markedly decreased both the blood glucose level measured after glucose loading and the area under the curve in the oral glucose tolerance test. Overall, the current study suggest that SA could control hyperglycemia and improve glucose tolerance, and may serve as a potential food supplement or natural drug in the management of diabetes.
Climate regionalization of various wine grape varieties in Hexi Corridor, China
Authors: Hao Yan , Wang Yanjun , Li Yashan , Cui Kexu , Xue Tingting , Peng Shuai 
Published: September 2020

Abstract
Hexi Corridor is one of the most important wine grape cultivation areas in China and local wine industry is developing rapidly. The detailed study on regionalization of wine grape varieties may provide the scientific basis for the selection of wine grape varieties. In the study, according to the climatic characteristics in Hexi Corridor, with the two regionalization indicators of the frost-free period and active cumulative temperature, the areas with the frost-free period longer than 150 days and the active cumulative temperature higher than 2500 °C were classified as the suitable cultivation areas of wine grape. With the average meteorological data of 46 meteorological stations surrounding Hexi Corridor from 1980 to 2010 and the 90-m DEM data of Hexi Corridor, the models of the frost-free period and the cumulative temperature were established according to the multivariate stepwise regression method. In addition, the regionalization diagram of the wine grape varieties in Hexi Corridor was plotted with the residual interpolation method. In the diagram, the optimum wine grape cultivation region was divided in six areas according to active cumulative temperature and suitable wine grape varieties and proper cultivation elevation ranges were proposed for corresponding areas. The existing data of the grape quality in different wine grape cultivation areas in Hexi Corridor supported the regionalization results. The study results provided a theoretical basis for the selection of wine grape varieties in Hexi Corridor.
Isolation and identification of a novel ginger tissue pathogenic bacteria Citrobacter sp. SJ7
Authors: Du Xiaotian , Luo Jie , Huang Ke , Yu Rongpan , Sang Jizhuoma 
Published: September 2020

Abstract
The pathogenic bacteria of ginger plantlets were isolated and identified. Pathogenic strains were isolated, purified, and then identify by morphology observation, physiological and biochemical experiments, and the 16s rDNA sequence was analyzed to verify the classification of the pahtogen. This study shows the novel pathogenic bacteria is kind of Gram-negative ones, which can be well root on the ginger tissue as well as cultivated plantlets. The histopathology examination illustrates that the pathogen prefer infect the host plant through ginger tuber. Moreover, the16S rDNA sequence analysis exhibits that it is kind homology species closely relating to Citrobacter amalonaticus. In a word, we first isolated a novel pathogenic bacteria of ginger named as Citrobacter sp SJ strain, which could successfully recognize the host ginger via xylems.
Modern research progress on pharmacological effects of paeoniflorin
Authors: Zhao Chengguo , Luo Chunyu , Ling Wenpei , Yin Meifang , Qin Shuzhi 
Published: September 2020

Abstract
Paeoniflorin is a monoterpene glycoside compound commonly found in Paeoniaceae plants. It has anti-inflammatory, analgesic, anti-tumor, immune regulation, nerve protection, anti-depression, improvement of diabetic nephropathy, anti-oxidation, and inhibition of intracellular Calcium overload, improve mitochondrial function, reduce dyslipidemia, inhibit apoptosis and inhibit cell autophagy and other biological activities. In recent years, research on paeoniflorin at home and abroad has been extensive and profound. This article focuses on the research progress of paeoniflorin in pharmacological effects.
Effects of different methods on reducing acid of papaya juice and papaya wine
Authors: Nan Lijun , Li Yashan , Tao Fang , Yang Ruiqun , Zhang Xiaofang , Zhong Yingxue , Huang Jing , Xu Chengdong 
Published: September 2020

AbstractEffects of different acid-reducing methods on the deacidification effect of papaya fruit juice and wine, thought as raw materials, were studied. The papaya juice was treated with two methods, calcium carbonate, calcium carbonate combining with biological acid-reducing. Calcium carbonates of the first method were 7.0 g/L, 8.0 g/L, 9.0 g/L and 10.0 g/L, respectively. Whereas the second method was that pulped Papaya raw material was added 22.38 g/L calcium carbonate. After 24 hours of quiescence, 1 g/100 kg of lactic acid bacteria was also added. The acid-reducing effect was expressed by titration acid. The wine was tested with calcium carbonate (8.05 g/L, 9.05 g/L and 10.05 g/L, in turn) and potassium tartrate (19.45 g/L, 20.45 g/L and 21.45 g/L, in turn). The acidity reduction effects was also showed by titration acid. Two methods could all reduce acid content of Papaya juice, but effect of calcium carbonate on acid-reducing was more obvious with an average decrease of 11.25 g/L. Two methods could reduce all the acid content of the wine, but the effect of calcium carbonate was also the most significant with an average reduction of 12.0 g/L. The second was potassium tartrate. In general, calcium carbonate was time-consuming and easy to achieve acid-lowering purpose, and the second was less and low cost to calcium carbonate. Effect of 9.0 g/L and 10.05 g/L calcium carbonate to reduce acid in papaya juice and papaya wine was the most obvious with short time and low cost. Therefore, 9.0 g/L and 10.05 g/L of calcium carbonate were the best choice to reduce the acid content of papaya juice and papaya wine with higher acid content, respectively.