Feature Extraction Approach for Defect Inspection in Eddy Current Pulsed Thermography

The eddy current pulsed thermography(ECPT)technique is a research focus in the non-destructive testing(NDT)area for defect inspection.Defect feature extraction for defect information analysis in ECPT is limited by image contrast,heat diffusion,background interference,etc.In this paper,a defect feature extraction approach in ECPT has been proposed to improve the quality of defect features,which is based on image partition,local sparse component evaluation,and feature fusion.This method can extract complete defect features by enhancing the defect area and removing background interference,such as noises and heating coil.Two typical steel specimens are utilized to testify the validity of the proposed approach.Compared with other three common feature extraction algorithms in ECPT,the proposed method can reserve more complete defect features and suppress more background interference.

The Numerical Calculation and Analysis of the Spectrum of Lower-Hybrid Waves Launched by Grill-Type Antenna on HL-2A

The LHCD antenna that will be used in LH-2A is the original one used in LH-1M, which will be modified. We measured the feature of the antenna, including the reflection of main waveguide, VSWR, the phase shift between the adjacent sub-waveguides and so on. The paper describes the measured results and spectrum calculation based on the measured parameters. From the works we can assess our antennas correctly, which will be useful in LHCD experiment on HL-2A in the years to come.

Monitoring and Evaluation of Environmental Quality of the Waters near the Feiyun River Estuary in Wenzou in Recent Years

Based on the monitoring results of environmental quality of the waters near the Feiyun River estuary during 2011-2016, the current situation of environmental quality of the waters was analyzed and evaluated. The results showed that pH, DO, COD Mn , petroleum, and heavy metals (Cu, Pb, Zn, Cd, Hg, As and Cr) in the waters near the Feiyun River estuary did not exceed the second-class standard of Seawater Quality Standard (GB 3097-1997), while both inorganic nitrogen and reactive phosphate in the waters exceeded the second-class standard obviously. The water quality of the waters near the Feiyun River estuary was in an eutrophic state. In terms of sediment quality, the standard index of most evaluation factors except for Cu was smaller than 1, meeting the demands of sediment quality for environmental protection.

Features and Trends of Contemporary World Economy

As the world economy has begun to experience an all-round growth in resur-gence,developed countries are most likely to enjoy a longest economic re-vival in modern history,while developing countries will go on

Translational Techniques as a Teaching Tool Using Culture-Specific Units： The Case of French-English Proverbs

Given the fact that cultures are a distinct way of identifying the mores and customs of a people, culture-specific units such as proverbs could serve as veritable teaching tools to pass on otherwise difficult language concepts to students, especially in the context of acquiring a foreign language. Proverbs can actually be viewed as succinct sayings that convey semantically-laden units expressing a people＇s worldview. In this paper, an attempt is made to illustrate the effectiveness of using culture-specific units like French proverbs to teach challenging grammatical features to English-speaking students in a French class. For example, grammatical aspects like verb conjugation French syntax, etc., can be effectively tackled. Translational techniques could then serve as pedagogical tools to bring about a better grasp of the foreign language being acquired, and in the process, exposure to a larger world culture would be achieved

A novel shapelet transformation method for classification of multivariate time series with dynamic discriminative subsequence and application in anode current signals

Classification of multi-dimension time series(MTS) plays an important role in knowledge discovery of time series. Many methods for MTS classification have been presented. However, most of these methods did not consider the kind of MTS whose discriminative subsequence was not restricted to one dimension and dynamic. In order to solve the above problem, a method to extract new features with extended shapelet transformation is proposed in this study. First, key features is extracted to replace k shapelets to calculate distance, which are extracted from candidate shapelets with one class for all dimensions. Second, feature of similarity numbers as a new feature is proposed to enhance the reliability of classification. Third, because of the time-consuming searching and clustering of shapelets, distance matrix is used to reduce the computing complexity. Experiments are carried out on public dataset and the results illustrate the effectiveness of the proposed method. Moreover, anode current signals(ACS) in the aluminum reduction cell are the aforementioned MTS, and the proposed method is successfully applied to the classification of ACS.

Beach Morphology and Coastline Evolution in the Southern Bohai Strait

The beach studied in this paper spans a length of 51 km and is one of several long sandy beaches in the southern Bohai Strait. Due to the obstruction of islands in the northeast and the influence of the underwater topography, the wave environment in the offshore area is complex; beach types and sediment transport characteristics vary along different coasts. The coastlines extracted from six aerial photographs in different years were compared to demonstrate the evolving features. Seven typical beach profiles were selected to study the lateral beach variation characteristics. Continuous wind and wave observation data from Beihuangcheng ocean station during 2009 were employed for the hindcast of the local wave environment using a regional spectral wave model. Then the results of the wave hindcast were incorporated into the LITDRIFT model to compute the sediment transport rates and directions along the coasts and analyze the longshore sand movement. The results show that the coastline evolution of sand beaches in the southern Bohai Strait has spatial and temporal variations and the coast can be divided into four typical regions. Region （1）, the north coast of Qimudao, is a slightly eroded and dissipative beach with a large sediment transport rate; Region （II）, the southwest coast of Gangluan Port, is a slightly deposited and dissipative beach with moderate sediment transport rate; Region （III）, in the central area, is a beach that is gradually transformed from a slightly eroded dissipative beach to a moderately or slightly strong eroded bar-trough beach from west to east with a relatively moderate sediment transport rate. Region （IV）, on the east coast, is a strongly eroded and reflective beach with a weak sediment transport rate. The wave conditions exhibit an increasing trend from west to east in the off- shore area. The distribution of the wave-induced current inside the wave breaking region and the littoral sediment transport in the nearshore region exhibit a gradual weakening tendency from west to east, which is opposite to the trend of the wave conditions out- side the breaking region. The presence of submerged shoal （Dengzhou Shoal）, deep trough （Dengzhou Channel）, islands and irregu- lar topography influnces the wave climate, beach types, wave-induced current features, littoral sediment transport trends and coast- line evolution patterns in the southern Bohai Strait. Human activities, such as the sand exploitation of Dengzhou Shoal and other coastal engineering projects, also influence the beach morphology and coastline evolution.

基于Stixel-world及特征融合的双目立体视觉行人检测

针对单目视觉行人检测无法获得深度信息从而导致冗余信息较多、检测效率和准确度存在局限性的问题,首先,在图像的预处理阶段提出了一种利用双目立体视觉产生的视差信息优化分析来简化复杂场景的动态规划棒状像素场景(stixel-world)表达方式;然后,在行人目标检测阶段,对传统HOG特征中block尺度进行分析、降维,采用Fisher准则筛选得到了适用于道路环境下的多尺度HOG(multi-HOG)特征,将Multi-HOG特征与LUV颜色通道特征进行融合,最后采用交叉核支持向量机(hikSVM)分类器对行人目标分类。实验结果表明,采用改进过后的Stixel-world算法用于图像预处理极大地减少了计算时间。缩小了行人检测的候选区域,基于特征融合和hik-SVM的目标检测算法在保证检测准确度的前提下,具有较好的实时性和鲁棒性。

A SVM Based Condition Monitoring of Transmission Line Insulators Using PMU for Smart Grid Environment

A new methodology for the detection and identification of insulator arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collected using Phasor Measurement Units (PMU). Detection of insulator arcing faults is based on feature extraction and frequency component analysis. The proposed methodology pertains to the identification of various stages of insulator arcing faults in transmission lines network based on leakage current, frequency characteristics and synchronous phasor measurements of voltage. The methodology is evaluated for IEEE 14 standard bus system by modeling the PMU and insulator arc faults using MATLAB/Simulink. The classification of insulator arcs is done using Support Vector Machine (SVM) technique to avoid empirical risk. The proposed methodology using phasor angle measurements employing PMU is used for fault detection/classification of insulator arcing which further helps in efficient protection of the system and its stable operation. In addition, the methodology is suitable for wide area condition monitoring of smart grid rather than end to end transmission lines.

Absolute geostrophic currents in global tropical oceans

A set of absolute geostrophic current(AGC) data for the period January 2004 to December 2012 are calculated using the P-vector method based on monthly gridded Argo profi les in the world tropical oceans. The AGCs agree well with altimeter geostrophic currents, Ocean Surface Current Analysis-Real time currents, and moored current-meter measurements at 10-m depth, based on which the classical Sverdrup circulation theory is evaluated. Calculations have shown that errors of wind stress calculation, AGC transport, and depth ranges of vertical integration cannot explain non-Sverdrup transport, which is mainly in the subtropical western ocean basins and equatorial currents near the Equator in each ocean basin(except the North Indian Ocean, where the circulation is dominated by monsoons). The identifi ed nonSverdrup transport is thereby robust and attributed to the joint effect of baroclinicity and relief of the bottom(JEBAR) and mesoscale eddy nonlinearity.

Image-Based Feature Extraction Technique for Inclined Crack Quanti cation Using Pulsed Eddy Current

Existing eddy current non-destructive testing(NDT) techniques generally do not consider the inclination angle of inclined cracks, which potentially harms a larger region of a tested structure. This work proposes the use of 2 D scan images generated by using pulsed eddy current(PEC) non-destructive testing(NDT) technique in the quantification of the inclination and depth of inclined cracks. The image-based feature extraction technique e ectively identifies the crack axis, which consequently enables extraction of features from the extracted linear scans. The technique extracts linear scans from the images to allow the extraction of three novel image-based features, namely the length of extracted linear scans(LLS), the linear scan skewness(LSS), and the highest value on linear scan(LSmax). The correlation of the three features to surface crack inclination angles and depths were analysed and found to be highly dependent on the crack depths, while only LLS and LSS are correlated to the crack inclination angles.

The expression correction of transistor current gain and its application in reliability assessment

Considering the impacts of ideal factor n, VBE and band gap changes with the temperature on current gain, the current gain expression has been corrected to make the results closer to the actual test. Besides, the accelerating lifetime study method in the constant temperature-humidity stress is used to estimate the reliability of the same batch transistors. Applying the revised findings from the expression, the current gains before and after the test are compared and analyzed, and, according to the degradation data of the current gain, the transistor lifetimes in the test stress are respectively extrapolated in the different failure criteria.

STCANet:Spatiotemporal Coupled Attention Network for Ocean Surface Current Prediction

Currently,numerical models based on idealized assumptions,complex algorithms and high computational costs are unsatisfactory for ocean surface current prediction.Moreover,the complex temporal and spatial variability of ocean currents also makes the prediction methods based on time series data challenging.The deep network model can automatically learn and extract complex features hidden in large amount of complex data,so it is a promising method for high quality prediction of ocean currents.In this paper,we propose a spatiotemporal coupled attention deep network model STCANet that can extract abundant temporal and spatial coupling information on the behavior characteristics of ocean currents for improving the prediction accuracy.Firstly,Spatial Module is designed and implemented to extract the spatiotemporal coupling characteristics of ocean currents,and meanwhile the spatial correlations and dependencies among adjacent sea areas are obtained through Spatial Channel Attention Module(SCAM).Secondly,we use the GatedRecurrent-Unit(GRU)to extract temporal relationships of ocean currents,and design and implement the nearest neighbor time attention module to extract the interdependences of ocean currents between adjacent times,which can further improve the accuracy of ocean current prediction.Finally,a series of comparative experiments on the MediSea_Dataset and EastSea_Dataset showed that the prediction quality of our model greatly outperforms those of other benchmark models such as History Average(HA),Autoregressive Integrated Moving Average Model(ARIMA),Long Short-term Memory(LSTM),Gate Recurrent Unit(GRU)and CNN_GRU.

Analysis of Maxwell’s Equations. Cosmic Magnetism

According to Hypersphere World-Universe Model, dark matter particles DIRACs are magnetic dipoles consisting of two Dirac’s monopoles. We conclude that DIRACs are the subject of Maxwell’s equations. So-called “auxiliary” magnetic field intensity H is indeed current density of magnetic dipoles. The developed approach to magnetic field can explain a wealth of discovered phenomena in Cosmic Magnetism: a dark magnetic field, the large-scale structure of the Milky Way’s magnetic field, and other magnetic phenomena which are only partly related to objects visible in other spectral ranges.

脉冲涡流缺陷检测理论与技术研究综述

由于具有非接触、效率高、检测信号的信息含量丰富等诸多优点,脉冲涡流技术被广泛应用工业产品的缺陷检测,尤其是带包覆层、异质、以及多层导电结构等检测难度极大的工业产品。脉冲涡流探头结构的设计和优化是提高检测灵敏度和准确度的关键,目前大量的研究工作围绕探头结构的设计和优化开展;不同材质、结构、以及缺陷类型或形状需要选用合适特征量表征,特征量的选取与分析也是脉冲涡流技术研究的关键;另外,由于脉冲涡流检测信号受提离高度影响极大,未知提离高度的缺陷准确检测面临极大的挑战,因此提离效应的抑制也是研究的重点之一。本文从探头的设计与开发、特征量的选取与分析、提离效应的抑制等方面,对脉冲涡流检测技术的研究进展进行综述。同时,为更好的推动脉冲涡流检测技术发展,论文在现有的研究基础上,对脉冲涡流探头设计、特征量分析、以及提离效应抑制等进行了展望。