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    Research Progress on the Corrosion Failure Behavior of Coatings on Aluminum Alloy for Semiconductor Fabrication Equipment
    Yang ZHAO, Yu-hang WANG, Tao ZHANG, Fu-hui WANG
    Journal of Northeastern University(Natural Science)    2025, 46 (3): 28-45.   DOI: 10.12068/j.issn.1005-3026.2025.20240182
    Abstract (1664)   HTML (46)    PDF(pc) (5616KB)(8939)       Save

    In the semiconductor fabrication equipment, the coatings on aluminum alloy often fail due to the coupling effect of high-temperature, vacuum and aggressive gases, including their plasma. In the chlorine-based plasma, the anodized coating has a high etching rate, leading to rapid removal, while the etching rate of Y2O3 coatings is approximately one in 50 of that of the anodized coating. In the fluorine-based plasma, both the anodized coating and Y2O3 coatings experience particle contamination due to the fluoride layer peeling. The corrosion resistance of the anodized coating can be significantly enhanced by adjusting the composition and temperature of the electrolyte or depositing a pure aluminum layer on the aluminum alloy surface. Additionally, improving the density of Y2O3 coatings can reduce their etching rate. Combining these strategies with remote plasma cleaning techniques can minimize the impact of charged particles on chamber materials, significantly reducing particle contamination in the reaction chamber. During the etching and thin film deposition processes, changes in the chamber surface composition can alter the plasma state, leading to various process defects.

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    LMP calculation on PJM power market and its trial in China
    Zhang, Rui-You (1); Han, Shui (2); Zhang, Jin-Zhu (3); Wang, Ding-Wei (1)
    Journal of Northeastern University    2005, 26 (11): 16-18.   DOI: -
    Abstract (2298)   HTML    PDF(pc) (153KB)(8612)       Save
    For the pricing of power transmission/distribution in China, the PJM power market is introduced as a reference and studied, in which the locational marginal price (LMP) with no transmission loss taken into account is calculated according to the security constrained economic dispatch (SCED) based on de-power flow. To adapt the actual need, the constraints on the sum of transmitted power of multiple branches are added to the original PJM model, and the power transmission distributed factor (PTDF) matrix is proposed for branch sets. To test the efficiency of the proposed approach, a calculation trial has been done using a mathematical model of a 500 kV network. The results showed that the approach can provide correct signals to all parties on power market and manage well the costs due to congestion with the fixed transmission right (FTR) used together.
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    Analysis of Shear Lag Effect of Steel and Concrete Composite Box Girders
    WANG Lian-guang, WAN Jiang
    Journal of Northeastern University Natural Science    2015, 36 (8): 1204-1208.   DOI: 10.12068/j.issn.1005-3026.2015.08.030
    Abstract (1053)   HTML    PDF(pc) (425KB)(8432)       Save
    Based on the basic principle of warping displacement function setting, a series of parabolic warping displacement functions that meet the basic warping mode of concrete composite box girders were selected for the proposed approach. The energy variation principle was applied to establish the governing differential equations and corresponding natural boundary conditions in consideration of the effect of shear lag. Then the analytical solutions to typical simply supported composite girders under mid-span concentrated load were derived. The static calculation examples verified the rationality and applicability of selecting quadratic parabolic warping displacement functions. Meanwhile, the measured results and the analytical solutions were compared with the finite element calculations so as to confirm the effectiveness of the approach. The calculation formula based on energy principle can meet the practical needs in engineering and the calculation is simple.
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    Tumor image fusion based on wavelet multiresolution decomposition
    Wang, Hong (1); Yang, Chun-Mei (2); Yuan, Zhen-Hua (3); Zhao, Hai-Bin (3)
    Journal of Northeastern University    2005, 26 (4): 238-241.   DOI: -
    Abstract (876)   HTML    PDF(pc) (209KB)(7074)       Save
    A new image fusion technique is put forward using wavelet transform to decompose the multi-resolution signals from each and every image so as to fuse differently the subimages within different bandwidths at every resolution levels. Template matching is used in high-frequency domain to calculate the statistical average and mean square deviation in image display area, thus determining the proportion of information provided by source images in image fusion process. In low-frequency domain the fusion is carried out using averaging operator so as to keep on the background of image. Then, image fusion can be completed by wavelet transform. The technique proposed has successfully been used in CT image fusion for tumor diagnosis, and experimental results revealed that it is an efficient way to provide fused image more adaptable to human vision.
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    Progress and Application of Intelligent Manufacturing Technology
    Ya-dong GONG, Jia-hao GAO, Li-ya JIN, Heng ZHAO
    Journal of Northeastern University(Natural Science)    2025, 46 (7): 84-93.   DOI: 10.12068/j.issn.1005-3026.2025.20250053
    Abstract (1561)   HTML (47)    PDF(pc) (4156KB)(6909)       Save

    Based on an analysis of the extensive and profound impact of the development of artificial intelligence on manufacturing technology, it is expounded that intelligent manufacturing is the main direction for building a strong manufacturing country, and its important roles are discussed in the construction of a new industrialization system. Through an introduction to intelligent manufacturing empowerment technology, it is claimed that intelligent manufacturing technology by the deep integration of intelligent technology and advanced manufacturing technology will drive the progress of the new round of industrial revolution and industrial transfor-mation. Subsequently, typical research results and application examples of intelligent manufacturing are used to clarify the essential differences and engineering applications between intelligent manufacturing and traditional automation. Finally, it is pointed out that the advanced production mode of the deep integration of new generation information technology and advanced manufacturing technology demonstrates a new form of future manufacturing industry.

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    EEG signal amplifier design based on driven-right-leg technology
    Sun, Yu-Ge (1); Ye, Ning (1); Yu, Yan-Bo (1)
    Journal of Northeastern University    2010, 31 (6): 777-781.   DOI: -
    Abstract (1310)   HTML    PDF(pc) (546KB)(6500)       Save
    A high-performance EEG signal amplifier was designed, where the differential amplifier circuit, driven-right-leg circuit and preamplifying parts in the designed amplifier can denoise the common-mode interference signals. With the EEG signal amplified by the preamplifier and 2-stage post-amplifier, two low-pass filters and two 50Hz traps were arranged reasonably in design to denoise the high/medium-frequency interference in EEG signal effectively, thus enabling the efficient EEG signal detection without shielded enclosure. Testing results showed that the performance of all parts of the amplifier comes up to the indices as required in design. The effectiveness of the design was proved by the real EEG signal sampled from the scalp of the detected person.
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    Efficient approach to image binarization
    Dong, Li-Ju (1); Yu, Ge (1)
    Journal of Northeastern University    2004, 25 (12): 1149-1152.   DOI: -
    Abstract (1082)   HTML    PDF(pc) (205KB)(6495)       Save
    Unlike the usual way to find out automatically a threshold from image histogram, the image binarization is dealt with as an optimization problem where the best threshold could be found out by minimizing a weighted function of error sum of squares, with a fast iterative optimization algorithm given for the purpose. The new approach is compared with a most classic and commonly-used binarization method, and the result shows that the two methods are equivalent in view of either theoretical analysis or experimental data. However, our formulation relevant to the problem enables us to derive up a much more efficient algorithm available to more applications, especially to real-time video monitoring and tracking systems.
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    Improvement of Blood Pressure Measurement Based on ECG and PPG
    XU Jiuqiang, LIN Hongji, LI Han, ZHAO Hai
    Journal of Northeastern University Natural Science    2014, 35 (1): 33-37.   DOI: 10.12068/j.issn.1005-3026.2014.01.008
    Abstract (2074)   HTML    PDF(pc) (970KB)(5962)       Save
    According to feature point detection algorithm with large computation of blood pressure measurement based on ECG and PPG, a feature point detection algorithm was proposed based on an improved difference method. The efficiency of the improved algorithm and the accuracy of the feature point detection had been largely improved. Through correlation analysis and regression analysis of the sampling data, the SBP(systolic blood pressure) had a strong correlation with PWTT(pulse wave transmit time), but DBP(diastolic blood pressure) had a moderate correlation with PWTT. The experimental results indicated that using the improved algorithm, the PWTT could be calculated accurately, and then the SBP could be obtained. Also the deviation requirement could be met to noninvasive blood pressure measurement of AAMI.
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    Research Progress on Development and Application of Digital Blast Furnace Ironmaking Technology
    Man-sheng CHU, Guo-dong WANG, Jue TANG, Quan SHI
    Journal of Northeastern University(Natural Science)    2025, 46 (7): 113-130.   DOI: 10.12068/j.issn.1005-3026.2025.20250070
    Abstract (1654)   HTML (20)    PDF(pc) (4726KB)(5822)       Save

    With the advancement of the digital information era, the digital transformation of blast furnaces has begun. Steel enterprises have applied intelligent closed-loop control, digital twins, and AI-based predictive models to develop intelligent systems for smart blast furnace operation, blast furnace condition assessment, and quality optimization. Research on digital blast furnaces primarily focuses on variable prediction, state diagnosis, and blast furnace condition optimization, with these domains evolving from traditional approaches toward complex optimization modeling, multidimensional comprehensive evaluation, and multi-objective collaborative optimization, respectively. However, current predictive models require enhanced online self-updating and integration of data and mechanisms; evaluation systems need to emphasize multidimensional and fine-grained diagnostics, and blast furnace condition optimization has to overcome single-indicator limitations by focusing on low-risk, low-cost, and multi-objective coupled strategies. According to the actual needs of the blast furnace site, a physical system of blast furnace information was developed, where data, mechanisms, and experience were reasonably matched and called upon to form an integrated technology encompassing data governance, rule mining, intelligent prediction, comprehensive evaluation, multi-objective optimization, and decision feedback, which was identified as one of the key directions for future development of digital blast furnace ironmaking.

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    Improvement and application of SERVQUAL service quality measurement method
    Xu, Xian-Ying (1); Ma, Qin-Hai (1)
    Journal of Northeastern University    2010, 31 (8): 1208-1212.   DOI: -
    Abstract (1079)   HTML    PDF(pc) (1723KB)(5774)       Save
    Some problems were found in the applications of SERVQUAL, such as the fuzziness of prospective target in the expected measurement which is unavailable to completely express what idea is expected, nonsense of gap computing and inappropriate model structure. A modified measurement model M-SERVQUAL was therefore developed instead of SERVQUAL to compute the gap between expectation and perception via the modified gap formula, i.e., (service perceived)-(target value)×(self-confidence level). Then, the different quality dimensionalities were combined with the service quality perceived in the model structure, where all the dimensionalities were measured in terms of response indices. A comparison between SERVQUAL and M-SERVQUAL was made empirically via structural equation, based on the data from the Shenyang International Horticultural EXPO 2006. The results showed that the M-SERVQUAL model has higher reliability, validity and goodness of fit. The M-SERVQUAL model was used to analyze the resource allocation and choice of marketing strategies in management.
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    Supply Chain Resilience: Research Review and Prospects
    Zhong-zhong JIANG, Jia-run GUO, Wei ZHENG
    Journal of Northeastern University(Natural Science)    2025, 46 (7): 59-70.   DOI: 10.12068/j.issn.1005-3026.2025.20250055
    Abstract (3668)   HTML (91)    PDF(pc) (2764KB)(5434)       Save

    In recent years, compounded crises such as geopolitical conflicts (e.g., the Russia-Ukraine conflict) and technological containment (e.g., the China-U.S. trade friction) have continuously exerted a profound impact worldwide, revealing the vulnerabilities of global supply chains. Enhancing the supply chain resilience has become a critical strategy to ensure the sustainable development of countries around the world, especially China, and it serves as a vital foundation for making China strong in manufacturing. On this basis, existing research on supply chain resilience was comprehensively reviewed, with particular focus on its origins, conceptual definitions, and driving factors. The evolution of the research was systematically analyzed, and prospective research directions were explored from four dimensions: collaborative optimization, resource allocation, dynamic response, and risk management. The findings aim to provide theoretical support and decision reference for enhancing supply chain resilience both globally and within China.

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    AHP-based vendor evaluation in combination with FCE
    Zhang, Zhen (1); Yu, Tian-Biao (1); Liang, Bao-Zhu (2); Wang, Wan-Shan (1)
    Journal of Northeastern University    2006, 27 (10): 1142-1145.   DOI: -
    Abstract (1456)   HTML    PDF(pc) (376KB)(5291)       Save
    To prevent the result of the vendor evaluation just by AHP from individual subjective judgment and favoritism, a new approach to vendor evaluation is proposed combining AHP with FCE. In the new approach AHP is used to determine the weights of evaluation indices for all vendors, while FCE is introduced to process the information relevant to vendor evaluation. A mathematical model is therefore developed for fuzzily comprehensive evaluation and it is used to evaluate several vendors for a certain automobile manufacturer.
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    Journal of Northeastern University    2004, 25 (6): 602-605.   DOI: -
    Abstract (840)   HTML    PDF(pc) (240KB)(5225)       Save
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    Tar Cracking Removal Technology in Biomass Gasification Process
    Xi-wen YAO, Qing-hua LIU, Hao-dong ZHOU, Kai-li XU
    Journal of Northeastern University(Natural Science)    2024, 45 (6): 890-896.   DOI: 10.12068/j.issn.1005-3026.2024.06.018
    Abstract (1775)   HTML (32)    PDF(pc) (935KB)(5140)       Save

    In order to grasp the research status and development of tar cracking technology during biomass gasification in recent years and aim at the production mechanism and thermochemical removal of tar during biomass gasification process, this study reviewed the characteristics of the gasification technology of different biomass gasifiers together with the characteristics of controlling the original emission of tar by means of literature research, summary and comparative analysis. The development of tar thermal cracking and catalytic cracking technology was analyzed, and the advantages and disadvantages of different tar cracking catalysts were compared and analyzed. The main direction of catalyst development was pointed out. The integration of tar catalytic cracking and physical removal (such as tar catalytic cracking, reforming, gas-liquid separation and electric tar capture) would be an effective approach to optimize the biomass gasification process.

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    On the influencing factors on H3BO3 recrystallization
    Gong, Dian-Ting (1); Li, Feng-Hua (1); Fan, Zhan-Guo (1); Liu, Su-Lan (1)
    Journal of Northeastern University    2008, 29 (12): 1734-1737.   DOI: -
    Abstract (1364)   HTML    PDF(pc) (225KB)(5003)       Save
    Discusses emphatically some influencing factors on the recrystallization of H3BO3, such as the solution concentration, crystallization temperature/time and stirring speed in the solution of H3BO3-H2O system. The rate of crystallization can be up to over 88% if the crystallization temperature/time is constant and the boric acid concentration is controlled within 28.5%~31.0%. And if the crystallization temperature is selected in the range of 5~10°C, the different cooling ways all effect slightly the crystallization rate of boric acid. But, if a quenching is implemented during high temperature with the temperature cooled to a certain extent and then cooled slowly, most of boric acid crystals are provided with a certain grain size. In our lab the proper crystallization time is about 15 h. If the boric acid solution concentration is 28.5%, and final crystallization temperature is 10°C that is held for 15 h, the slow stirring speed benefits the formation of boric acid crystals.
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    Implementation of Chinese WordNet
    Zhang, Li (1); Li, Jing-Jiao (1); Hu, Ming-Han (1); Yao, Tian-Shun (1)
    Journal of Northeastern University    2003, 24 (4): 327-329.   DOI: -
    Abstract (1119)   HTML    PDF(pc) (216KB)(4676)       Save
    An approach based on transformation from WordNet to Chinese WordNet is proposed. The system of the Chinese WordNet has been implemented. Some rules for synset's translating arid some methods for reconstituting relation between Chinese word form and word meaning are given. The feasibility and relative problems of the Chinese WordNet are discussed. A self-disambiguation algorithm for the transformation of concept nodes is prescribed.
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    Influence of three cosolvents on hydrolysis of tetraethyl-orthosilicate
    Huo, Yu-Qiu (1); Zhai, Yu-Chun (1); Tong, Hua-Nan (1)
    Journal of Northeastern University    2004, 25 (2): 133-135.   DOI: -
    Abstract (1436)   HTML    PDF(pc) (182KB)(4609)       Save
    Investigates the influence of such cosolvents as n-butanal, isopropanol and ethanol on the reaction time and yield in the precipitation process and sol-gel process of tetraethyl-orthosilicate hydrolysis. The structure and morphology of powdered SiO2 were studied by TEM and FT-IR. The results showed that the reaction time decreases and yield increases with the increase in alkyl chains during either precipitation process or sol-gel process. In addition, the structure of powdered SiO2 obtained from either process are the same, but the particle sizes of SiO2 powder obtained from different hydrolysis process in which different cosolvents are used are different, ie. Using the cosolvents n-butanol and isopropyl can form smaller particle size than using ethanol.
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    Preparation of low Na/K highly purified LiCl by alcohol extraction
    Jin, Zhe-Nan (1); Li, Xi-Meng (1); Lan, Wei-Jun (1); Liu, Xiu-Ru (1)
    Journal of Northeastern University    2006, 27 (11): 1251-1254.   DOI: -
    Abstract (624)   HTML    PDF(pc) (185KB)(4566)       Save
    Based on the different of solubilities of alkali metal chlorides in alcohol, the highly purified lithium chloride with low sodium/potassium contents was prepared for the first time by alcohol extraction process. The results showed that calcium content in mass fraction can be controlled lower than (10-15) × 10-6 after decalcification by adding 0.6% lithium oxalate, meanwhile, the sodium and potassium contents can be lower than 40 × 10-6 and 5 × 10-6, respectively, when filtering the solution 2 times and the liquid to solid ratio 8.5. Such a result means that the alcohol extraction is an effective way to remove sodium and potassium in preparing highly purified lithium chloride.
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    Preparation of Ni-Mo alloy coating by pulse plating and its HER activity
    Han, Qing (1); Sun, Ke-Ning (1); Dong, Xiao-Hui (2); Chen, Jian-She (1)
    Journal of Northeastern University    2009, 30 (5): 704-707.   DOI: -
    Abstract (722)   HTML    PDF(pc) (308KB)(4532)       Save
    The effects of different electrodeposition conditions in the pulse plating process to prepare Ni-Mo coating on its composition, apparent morphology and HER (hydrogen evolution reaction) activity were investigated. If the quantitative ratio of nickel to molybdenum is lower than 1 (mol%), the Mo content in the coating decreases gradually with the molybdenum salt adding to the coating, while the corresponding HER overpotential increases. The Ni-Mo coating thus prepared presents amorphous structure (w(Mo)=30%) in combination with homogeneous, smooth and characteristics, especially it provides a higher catalytic activity (80°C, η200=62 mV) with high corrosion resistance. After the galvanostatic electrolysis in 33% NaOH solution for 100 hr, the amorphous structure is destroyed due to Mo dissolution, then the bubbling comes to pass with increasing porosity.
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    Interpretable Deep Learning Prediction Model for Compressive Strength of Concrete
    Wei-qi ZHANG, Hui-ming WANG
    Journal of Northeastern University(Natural Science)    2024, 45 (5): 738-744.   DOI: 10.12068/j.issn.1005-3026.2024.05.017
    Abstract (1771)   HTML (36)    PDF(pc) (2982KB)(4305)       Save

    To quickly and accurately predict the compressive strength of concrete, a prediction model is established using deep learning technology. The model is automatically optimized and adjusted using the Bayesian optimization algorithm, and the prediction results are analyzed by combining with the SHapley Additive exPlanations (SHAP) interpretable method, which overcomes the problem of the “black box” of the prediction model. The deep learning model is used to mine the potential law between each input feature parameter and compressive strength, the importance of the parameters on the compressive strength prediction results and the influence law is analyzed by visualizing the SHAP values of the input feature parameters. The results show that the constructed deep learning model outforms other traditional models. The SHAP analysis results are consistent with the experimental results, and the model better reflects the complex nonlinear relationship among the characteristic parameters, which can provide the basis and reference for the engineering design of concrete materials.

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